Financial valuation plays a crucial role in economic decision-making, particularly in transactions involving mergers, acquisitions, and privatization of state-owned assets ([11]). Accurate and transparent valuation ensures fair pricing, protects public funds, and fosters investor confidence in capital markets ([27]). In Egypt, the valuation process is guided by the Egyptian Financial Valuation Standards (EFVS), first issued in 2017 and recently amended in 2025 by the Financial Regulatory Authority (FRA) through Decision No. 136 to include intangible asset valuation standards ([19]).

Despite these developments, challenges remain regarding consistency, transparency, and alignment with international frameworks such as the International Valuation Standards (IVS) and the International Financial Reporting Standards (IFRS) ([34]; [22]). Studies indicate that valuation practices in emerging economies often suffer from inadequate data reliability, lack of specialized training, and insufficient oversight ([45]; [38]).

The integration of SMART (Specific, Measurable, Achievable, Relevant, Time-bound) principles into valuation standards can enhance their clarity, measurability, and enforceability, leading to more robust and credible valuation outcomes ([13]; [5]). By reforming the EFVS using a SMART-based approach and benchmarking against global best practices, Egypt can strengthen its valuation framework to better serve public interest and economic growth.

Despite recent improvements in the Egyptian Financial Valuation Standards (EFVS), notably the 2025 amendment introducing standards for intangible asset valuation ([19]), significant challenges remain in achieving consistency, transparency, and international comparability. Empirical evidence suggests that current valuation practices in Egypt often rely on subjective judgments, insufficiently standardized methodologies, and limited disclosure requirements ([45]; [38]).

Such weaknesses may result in undervaluation or overvaluation of assets, particularly in the context of state-owned asset privatizations and mergers or acquisitions in the private sector ([27]). Furthermore, the absence of systematic integration of InternationalValuationStandards(IVS) and InternationalFinancialReportingStandards(IFRS) reduces the credibility of valuations in the eyes of international investors ([34]; [22]).

In emerging economies, these issues are often exacerbated by data reliability constraints, lack of specialized training for valuers, and insufficient regulatory oversight ([11]). While the SMART (Specific, Measurable, Achievable, Relevant, Time-bound) approach has proven effective in structuring objectives and improving compliance in various sectors ([13]; [5]), it has not yet been systematically applied to the Egyptian valuation framework.

This gap highlights the urgent need for a research-based reform initiative that benchmarks EFVS against global best practices, integrates SMART principles, and evaluates the proposed framework through applied case studies.

The primary objective of this research is to develop a SMART (Specific, Measurable, Achievable, Relevant, Time-bound) standard framework for the financial valuation of private and public companies, with a particular focus on reforming the Egyptian Financial Valuation Standards (EFVS) in line with international best practices.

To achieve this aim, the research will pursue the following specific objectives:

1)BenchmarkingAnalysis: Conduct a comprehensive comparative study between the current EFVS and selected global frameworks such as the International Valuation Standards (IVS) ([24]) and International Financial Reporting Standards (IFRS) ([22]).

2)GapIdentification: Identify weaknesses and inconsistencies in the current Egyptian framework, particularly regarding transparency, methodological standardization, and disclosure requirements ([45]; [38]).

3)FrameworkDevelopment: Design a SMART-based valuation framework that incorporates measurable objectives, clear implementation guidelines, and compatibility with Egypt’s legal and economic context ([13]; [5]).

4)AppliedCaseStudyEvaluation: Apply the proposed framework to real-world valuation cases in Egypt to assess its effectiveness, reliability, and feasibility ([11]; [27]).

5)StandardsReformRecommendations: Provide evidence-based proposals to reform the EFVS for enhanced credibility, investor confidence, and protection of public funds ([19]).

The significance of this research lies in its contribution to addressing critical shortcomings in Egypt’s financial valuation framework while aligning it with global standards. From a theoretical perspective, the study advances valuation literature by integrating the SMART (Specific, Measurable, Achievable, Relevant, Time-bound) methodology into a national financial valuation standard—a concept that has been widely applied in goal-setting and performance management ([13]; [5]) but has yet to be systematically adopted in valuation standards.

From a practical perspective, the proposed SMART-based framework is designed to:

Improve accuracy and transparency in valuation practices, especially for high-stakes transactions such as the privatization of state-owned enterprises ([27]).Enhance comparability and credibility of valuations for both domestic and inter-national investors ([34]; [22]).Provide policymakers and regulators with a structured tool to reform and monitor valuation. Overall, this research offers a dual value proposition: it contributes to academic discourse on valuation reform while providing a directly applicable solution for enhancing Egypt’s valuation practices in line with international bench-marks.

In light of the background, problem statement, objectives, and significance of the study, the research seeks to answer the following key questions:

1) How do the current Egyptian Financial Valuation Standards (EFVS) compare with international frameworks such as the International Valuation Standards (IVS) and International Financial Reporting Standards (IFRS) in terms of transparency, methodological rigor, and disclosure requirements? ([34]; [22])

2) What are the main gaps and weaknesses in the EFVS that limit their effectiveness in ensuring accurate, reliable, and comparable valuations? ([45]; [38])

3) How can SMART principles (Specific, Measurable, Achievable, Relevant, Time-bound) be systematically integrated into the EFVS to enhance their clarity, measurability, and enforceability ([13]; [5])?

4) What would be the practical outcomes of applying a SMART-based valuation framework to real-world case studies in Egypt in terms of accuracy, credibility, and investor confidence ([11]; [27])?

5) What reform measures can be proposed to improve the EFVS in alignment with global best practices while ensuring relevance to Egypt’s legal, economic, and institutional context ([19])?

The research is structured into ten main sections as follows: 1) Introduction, 2) Literature Review, 3) Theoretical Framework, 4) Proposed SMART Standard Framework, 5) Research Methodology, 6) Applied Case Studies Analysis, 7) Empirical Findings and Results, 8) Discussion and Practical Interpretation.

Financial valuation is a core discipline in finance and accounting, underpinning decision-making processes in investment, mergers and acquisitions, privatizations, and corporate restructuring ([11]). The theoretical foundation of valuation lies in the principle that the value of an asset equals the present value of its expected future cash flows, discounted at an appropriate rate that reflects the asset’s risk ([27]). This concept draws heavily from the Discounted Cash Flow (DCF) model, one of the most established and widely applied valuation methodologies.

From a theoretical perspective, valuation frameworks are shaped by two main schools of thought: intrinsic valuation and relative valuation. Intrinsic valuation determines value based on fundamental cash flow projections and risk-adjusted discount rates, while relative valuation compares the asset to similar entities using market multiples such as price-to-earnings or enterprise value-to-EBITDA ([36]). Each approach has strengths and limitations, and effective valuation often combines elements of both to achieve more reliable results ([37]).

Modern valuation theory also integrates real options analysis, which recognizes the value of managerial flexibility in adapting investment decisions in response to changing market conditions ([43]). This is particularly relevant in high-uncertainty environments, such as emerging markets, where macroeconomic volatility and regulatory risks are significant.

Transparency and governance principles are essential theoretical pillars for valuation, as they directly influence market confidence and reduce information asymmetry between valuers and stakeholders ([34]). These principles align with international frameworks such as the International Valuation Standards (IVS) and International Financial Reporting Standards (IFRS), which emphasize standardized methodologies, consistent disclosure, and professional ethics ([22]).

Furthermore, behavioral finance theory has expanded the understanding of valuation by highlighting how cognitive biases and heuristics can affect judgment and lead to systematic mispricing ([3]). This is particularly important in valuation contexts involving negotiation, political influence, or strategic asset sales, where non-economic factors may distort value assessments.

In emerging economies like Egypt, the theoretical framework for valuation must adapt these global concepts to local market realities, regulatory constraints, and data limitations ([45]). This adaptation underscores the importance of developing localized, yet globally consistent, valuation standards that can safeguard public interest while promoting market efficiency.

The Egyptian Financial Valuation Standards (EFVS) were first issued in 2017 by the Financial Regulatory Authority (FRA) through Decision No. 1 of 2017, aiming to unify valuation practices for companies and securities in Egypt. These standards established methodological guidelines for applying valuation approaches such as discounted cash flow (DCF), market multiples, and asset-based valuation ([18]).

In 2025, the FRA issued Decision No. 136, amending the EFVS to include standards for the valuation of intangible assets, in line with increasing recognition of intellectual property, trademarks, patents, and goodwill in corporate valuations ([19]). The inclusion of intangible assets represents a significant step toward aligning Egyptian standards with the International Valuation Standards (IVS) ([34]) and International Financial Reporting Standards (IFRS) ([22]).

However, despite these advancements, challenges persist in the application and enforcement of the EFVS. Studies indicate that valuation reports in Egypt often exhibit inconsistencies in methodology, inadequate disclosure of assumptions, and reliance on subjective judgment ([45]; [38]). Furthermore, the regulatory framework does not yet fully mandate the use of globally recognized methodologies for all valuation contexts, leaving room for discretion that may affect accuracy and transparency.

Another critical challenge is the limited number of specialized valuation professionals in Egypt who are trained in both local regulations and international best practices ([11]). This shortage is compounded by insufficient continuous professional development programs and limited institutional capacity for oversight ([27]).

Additionally, market data availability remains a constraint. Valuation accuracy depends heavily on reliable and comprehensive financial, economic, and market data—resources that are often fragmented or not publicly accessible in Egypt ([36]). These limitations can lead to valuation results that deviate significantly from actual market values, potentially impacting investment decisions and public asset sales.

The International Valuation Standards (IVS), developed by the International Valuation Standards Council (IVSC), provide globally recognized principles and procedures for conducting valuations across different asset classes, including tangible, intangible, and financial assets ([34]). These standards emphasize transparency, consistency, and professionalism in valuation practices, ensuring that valuations are credible, comparable, and aligned with investor expectations worldwide.

The International Financial Reporting Standards (IFRS), issued by the IFRS Foundation, complement IVS by establishing uniform accounting and reporting principles, particularly for asset measurement and disclosure ([22]). Standards such as IFRS 13—Fair Value Measurement define fair value, outline appropriate valuation techniques, and provide guidance on maximizing the use of observable market inputs while minimizing reliance on unobservable data.

Best practices under IVS and IFRS focus on several key principles:

1) Methodological Rigor: Valuations should be based on recognized methods such as the Discounted Cash Flow (DCF), market multiples, and asset-based approaches, with detailed justifications for the chosen method ([27]).

2) Transparency in Assumptions: All assumptions, including discount rates, growth projections, and market benchmarks, must be clearly disclosed to allow stakeholders to assess reliability ([36]).

3) Consistency and Comparability: Valuation practices should enable comparison across time periods and jurisdictions by applying standardized definitions and processes ([37]).

4) Professional Competence: Valuations should be conducted by qualified professionals with relevant training, certifications, and adherence to ethical codes ([34]).

5) Integration of Market Data: Use of reliable and verifiable data sources enhances accuracy and reduces subjectivity ([45]).

Case studies from advanced economies illustrate how rigorous application of IVS and IFRS leads to greater investor confidence, more efficient capital allocation, and reduced valuation disputes ([38]). For example, the adoption of IFRS 13 in the European Union harmonized fair value reporting and reduced discrepancies in cross-border transactions ([22]).

For Egypt, aligning the EFVS with IVS and IFRS not only enhances global comparability but also improves governance in privatizations, mergers, and strategic asset sales. Embedding SMART principles within this alignment could further strengthen objectivity, measurability, and enforceability, making valuations more resistant to manipulation or political influence.

A comparative analysis between the Egyptian Financial Valuation Standards (EFVS) and leading international frameworks, particularly the International Valuation Standards (IVS) and International Financial Reporting Standards (IFRS), reveals both areas of alignment and significant gaps that need to be addressed.

1)ScopeandCoverage

The EFVS primarily focuses on business and securities valuation, with limited explicit guidance for specialized asset categories such as natural resources, infrastructure, and agricultural assets. In contrast, IVS provides detailed standards for a broad spectrum of asset types, including tangible, intangible, and financial assets, ensuring comprehensive applicability ([34]). IFRS complements this by offering detailed measurement and disclosure requirements for these assets ([22]).

2)MethodologicalRigor

While EFVS recognizes standard approaches such as the Discounted Cash Flow (DCF), market multiples, and asset-based methods, the guidance on selecting the most appropriate method for specific contexts is less prescriptive than in IVS ([18], 2025). IVS emphasizes methodological justification, multiple-method reconciliation, and scenario analysis ([27]).

3)TransparencyandDisclosure

One of the key differences lies in disclosure requirements. IVS and IFRS require detailed reporting of valuation assumptions, market inputs, and sensitivity analyses ([36]), whereas EFVS provides less granular requirements, leaving more discretion to valuers—a factor that may reduce comparability and transparency ([45]).

4)ProfessionalCompetenceandEthics

International frameworks stress the importance of certified professionals with continuous professional development and adherence to ethical codes ([34]). While EFVS requires licensed valuers, the continuing education and professional ethics monitoring mechanisms are less developed ([38]).

5)GovernanceandOversight

In advanced jurisdictions, valuation oversight bodies have strong enforcement powers, ensuring compliance with standards through regular audits and sanctions for violations. In Egypt, enforcement mechanisms exist but are often limited by resource constraints and insufficient institutional capacity ([11]).

Overall, the comparative analysis indicates that EFVS have a solid foundation but require further enhancement in scope, methodological rigor, transparency, and governance to achieve full alignment with IVS and IFRS. Integrating SMART principles into the EFVS could bridge many of these gaps by ensuring clarity, measurability, and enforceability.

The SMART framework—an acronym for Specific, Measurable, Achievable, Relevant, and Time-bound—originated in management and performance planning but has gained increasing application in policy design, regulatory frameworks, and standard development ([13]; [5]). Its integration into financial valuation standards aims to enhance clarity, objectivity, and enforceability, thereby improving the overall credibility of valuation outcomes.

Several countries have successfully integrated SMART principles into their valuation frameworks. For example, New Zealand’s government asset valuation guidelines mandate specific disclosure formats, measurable performance indicators, and periodic reassessment cycles ([5]). Similarly, the UK’s Royal Institution of Chartered Surveyors (RICS) incorporates SMART-based performance monitoring in its “Red Book” valuation standards ([39]).

For Egypt, adopting a SMART-based enhancement to the EFVS could address current weaknesses identified in Sections 2.2 and 2.4, leading to more accurate, comparable, and trustworthy valuations. This would not only align with International Valuation Standards (IVS) but also support governance reforms in public asset management.

The integration of the SMART framework—Specific, Measurable, Achievable, Relevant, and Time-bound ([27])

In the literature, SMART-based standards are viewed as a subset of results-oriented regulation, which focuses on measurable performance outcomes rather than purely procedural compliance ([31]). This approach fosters greater accountability and transparency by allowing regulators and stakeholders to evaluate the actual impact of valuation practices on market fairness and efficiency.

Applying SMART principles to the Egyptian Financial Valuation Standards (EFVS) would provide a robust framework for aligning with International Valuation Standards (IVS) while adapting to Egypt’s unique economic, legal, and institutional environment. Such integration ensures that standards are both locally relevant and globally comparable, thereby enhancing investor confidence and protecting public interest in strategic asset transactions.

The theoretical relationship between SMART-based standards and valuation accuracy can be conceptualized through the lens of regulatory quality, information asymmetry reduction, and agency theory. Financial valuation inherently involves uncertainty, estimation, and subjective judgment; therefore, the robustness of the standards guiding these processes directly affects the reliability of the valuation outcomes ([27]).

RegulatoryQualityPerspective

From the regulatory quality standpoint, well-structured SMART-based standards enhance the precision of valuation rules by embedding specific and measurable criteria, thereby reducing ambiguity in their application. This leads to more consistent methodologies and reduces the scope for discretionary manipulation ([31]).

InformationAsymmetryReduction

According to signaling theory ([41]), transparency and clear disclosure of assumptions—central to the “Measurable” and “Specific” components of SMART—improve market participants’ ability to assess the credibility of valuation reports. Reduced information asymmetry leads to more efficient market pricing and fairer asset transactions ([36]).

AgencyTheoryPerspective

Agency theory ([25]) suggests that in contexts such as privatizations or mergers, valuation agents may face conflicts of interest. SMART-based standards mitigate these risks by requiring verifiable, time-bound, and relevant criteria that constrain opportunistic behavior, thus aligning agents’ actions with stakeholders’ interests ([45]).

Empirical studies have shown that jurisdictions implementing structured and principle-based valuation standards experience higher accuracy in public asset sales, improved investor trust, and reduced litigation related to asset pricing disputes ([45]; [38]).

Thus, the theoretical link between SMART standards and valuation accuracy is anchored in reducing methodological variance, enhancing transparency, and aligning agent behavior with long-term market fairness objectives.

Integrating the SMART framework—Specific, Measurable, Achievable, Relevant, and Time-bound—into the Egyptian Financial Valuation Standards (EFVS) represents a strategic reform that addresses both the technical and governance-related shortcomings identified in previous analyses ([19]). By embedding these principles, EFVS can achieve greater clarity, consistency, and credibility, aligning more closely with International Valuation Standards (IVS) and International Financial Reporting Standards (IFRS) while adapting to Egypt’s unique economic and institutional context.

The proposed SMART-based Egyptian Financial Valuation Framework (SEFVF) aims to modernize and enhance the existing Egyptian Financial Valuation Standards (EFVS) to ensure alignment with international best practices while addressing Egypt’s unique economic and governance challenges. The framework is designed to serve as a regulatory, technical, and ethical benchmark for valuation activities in both public and private sectors, with a particular focus on safeguarding public interest in high-value transactions such as privatizations, mergers, and strategic asset sales.

Theobjectivesoftheframeworkare:

1) Enhance Accuracy and Consistency, 2) Improve Transparency and Accountability, 3) Strengthen Professional Competence and Ethics, 4) Align with International Standards, 5) Promote Adaptive Governance.

The SMART-Based Egyptian Financial Valuation Framework (SEFVF) is designed as a multi-layered structure integrating regulatory, methodological, ethical, and technological dimensions. This structural model ensures that valuation practices are specific, measurable, achievable, relevant, and time-bound, in line with International Valuation Standards (IVS) and tailored to Egypt’s market context ([34]; [22]) as shown in Table 1.

Table 1. Structural components of the SEFVF and their interactions.

1)RegulatoryandGovernanceLayer

LegalFoundation: The framework will be anchored in FRA-issued decrees, incorporating the SMART principles explicitly into the legal text ([19]).OversightMechanisms: Establishment of an independent Valuation Oversight Committee to monitor compliance, review periodic updates, and address stakeholder concerns ([31]).SanctionsandIncentives: Clear penalties for non-compliance, paired with incentives for high-quality, transparent reporting.

2)MethodologicalLayer

SpecificProtocols: Asset-class-specific valuation methods, including tangible assets, intangible assets, infrastructure projects, and natural resources ([27]).MeasurableCriteria: Mandatory disclosure of quantitative parameters (e.g., discount rates, risk adjustments) supported by market-based data sources.ScenarioAnalysis: Use of standardized sensitivity and stress-testing procedures to assess valuation robustness under different assumptions ([11]).

3)ProfessionalCompetenceandEthicsLayer

CertificationRequirements: Mandatory licensing and continuing professional education for all valuers ([38]).EthicsCode: Adoption of a binding code of ethics aligned with IVSC’s professional conduct guidelines.ConflictofInterestDisclosures: Required declaration of any potential conflicts in privatization and strategic asset transactions.

4)TechnologicalIntegrationLayer

ValuationDataPlatform: A centralized digital database for input data, comparable transactions, and valuation benchmarks.AIandDigitalTwins: Integration of smart technologies to model asset performance and improve forecasting accuracy ([45]).AuditTrails: Blockchain-based audit logs to ensure data integrity and transparency in valuation processes.

5)MonitoringandReviewLayer

Time-boundReviews: Mandatory reassessment every 3 - 5 years to align with evolving market conditions and international standards ([22]).FeedbackMechanisms: Stakeholder consultations and public comment periods before implementing changes.ImpactAssessment: Regular evaluation of the framework’s effectiveness in improving valuation accuracy and public trust.

By combining these five structural components, the SEFVF offers a comprehensive and enforceable system that enhances technical quality, governance integrity, and public accountability in valuation practices.

The SEFVF functions as an integrated system where each layer reinforces the others. Regulatory oversight ensures compliance across all layers; methodological precision feeds into professional practice; technology supports both operational efficiency and oversight; and the monitoring layer closes the feedback loop, ensuring continuous improvement.

The alignment of the SMART-Based Egyptian Financial Valuation Framework (SEFVF) with international standards is critical to ensuring credibility, investor confidence, and cross-border comparability. This section explores how SEFVF can integrate with globally recognized valuation and reporting standards, primarily the International Valuation Standards (IVS), International Financial Reporting Standards (IFRS), and selected OECD best practices.

1)AlignmentwithInternationalValuationStandards(IVS)

The IVS, issued by the International Valuation Standards Council (IVSC), provides globally recognized principles for valuation methodologies, asset classification, and reporting requirements ([34]). SEFVF will align with IVS by:

Adopting IVS definitions for asset categories, including tangible, intangible, and specialized assets.Incorporating IVS-recommended approaches: market, income, and cost methods.Standardizing disclosure requirements for key assumptions and inputs, ensuring transparency.

2)IntegrationwithInternationalFinancialReportingStandards(IFRS)

The IFRS, issued by the IFRS Foundation, governs the recognition, measurement, and disclosure of financial information in global capital markets ([22]). Alignment with IFRS will ensure that valuations performed under SEFVF can be seamlessly integrated into corporate financial statements by:

Harmonizing fair value measurement criteria with IFRS 13 Fair Value Measurement.Aligning treatment of investment properties (IFRS 40), intangible assets (IAS 38), and impairment testing (IAS 36) with SEFVF protocols.Encouraging consistent use of observable market data when available.

3)CompliancewithOECDBestPractices

The OECD Regulatory Policy Outlook emphasizes transparency, accountability, and stakeholder engagement in regulatory design ([31]). SEFVF will integrate OECD best practices by:

Mandating stakeholder consultations before major revisions.Establishing impact assessment mechanisms to evaluate regulatory effectiveness.Promoting cross-border cooperation for transactions involving foreign investors.

4)ComparativeBenchmarking

Benchmarking against other countries’ frameworks (e.g., UK’s RICS standards, US GAAP valuation guidance, and Singapore’s IVAS standards) will help identify gaps and opportunities for innovation.

5)BenefitsofAlignment

GlobalAcceptance: Facilitates cross-border transactions and attracts foreign investment.InvestorConfidence: Builds trust through adherence to internationally validated processes.RegulatoryConsistency: Minimizes disputes in international arbitration or litigation.

By aligning with IVS, IFRS, and OECD principles, SEFVF will not only modernize Egypt’s valuation practices but also enhance its competitiveness in global capital markets while protecting the public interest.

While alignment with international valuation standards such as IVS and IFRS is essential for global credibility, their direct adoption without contextual adaptation may not fully address Egypt’s unique legal, economic, and institutional realities ([31]; [45]). The SMART-Based Egyptian Financial Valuation Framework (SEFVF) incorporates structured mechanisms to adapt these standards locally while preserving their global compatibility.

1)LegalandRegulatoryCustomization

ContextualizationofDefinitions: Modify global standard definitions to reflect Egyptian legal classifications of property rights, corporate structures, and state-owned entities ([19]; [34]).IntegrationwithLocalLaws: Ensure full compatibility with Egyptian commercial law, investment regulations, and public asset management statutes.

2)EconomicandMarketCalibration

Localized Valuation Parameters: Adjust discount rates, risk premiums, and growth projections using Egypt-specific macroeconomic data ([11]; [27]).SectoralDifferentiation: Tailor valuation guidelines for key sectors such as energy, tourism, agriculture, and infrastructure.

3)InstitutionalCapacityBuilding

ProfessionalTrainingPrograms: Collaborate with universities, professional bodies, and the FRA to deliver IFRS- and IVS-compliant training with local case applications ([38]).CertificationPathways: Establish national licensing for valuers, aligned with international competency benchmarks but with additional Egypt-specific modules.

4)TechnologicalLocalization

NationalDataRepositories: Develop centralized databases of Egyptian market transactions, public asset valuations, and macroeconomic indicators to complement global datasets ([45]).DigitalTwinandAICustomization: Adapt predictive modeling tools to local market volatility patterns and regulatory constraints.

5)ContinuousFeedbackandReview

StakeholderConsultation: Regular input from industry experts, government agencies, and investors to refine localized provisions.ImpactEvaluation: Periodic assessments of the adapted standards’ effectiveness in improving valuation quality and transparency.

Local adaptation of international standards through these mechanisms will ensure that Egypt benefits from the credibility and rigor of global practices while maintaining relevance to domestic realities, thereby enhancing both market integrity and public trust.

The implementation of the SMART-Based Egyptian Financial Valuation Framework (SEFVF) is expected to yield significant benefits for market integrity, public asset management, and investment climate. However, successful adoption requires proactive identification and mitigation of potential risks.

A comparative analytical design integrates global benchmarks and national indicators to assess relationships among SEFVF adoption, valuation quality, and transparency. The model blends secondary data, structured benchmarking, and SEM analysis.

The research adopts a mixed-methods design that integrates both qualitative and quantitative approaches to evaluate, develop, and validate the proposed SMART-Based Egyptian Financial Valuation Framework (SEFVF). This design ensures a holistic understanding of current valuation practices in Egypt, their alignment with international standards, and the feasibility of implementing the proposed framework.

1)ResearchParadigm

The study follows a pragmatic paradigm ([10]), allowing methodological flexibility to combine numerical data with contextual insights, thereby enhancing the robustness of findings.

2)ResearchApproach

QualitativeComponent: In-depth document analysis of Egyptian Financial Valuation Standards (EFVS), relevant legislation, and recent updates (e.g., FRA Decision No. 136/2025). Semi-structured interviews will be conducted with valuation professionals, regulators, and industry stakeholders to identify practical challenges and improvement areas ([40]).QuantitativeComponent: Statistical analysis of valuation reports, financial statements, and market data to measure the variance between valuations performed under existing EFVS and those simulated using the proposed SEFVF model ([28]).

3)ResearchStrategy

The design employs a comparative applied case study strategy ([46]), focusing on selected public and private asset valuation cases, including recent privatization transactions. The comparative element will contrast current Egyptian practices with international benchmarks from countries such as the UK, Singapore, and Canada.

4)DataCollectionSources

Primary Data: Interviews, focus groups, and direct surveys with professional valuers and policy-makers.Secondary Data: Financial statements, valuation reports, regulatory documents, and international valuation guidelines (IVS, IFRS).

5)SamplingTechnique

A purposive sampling approach will be used to select participants with relevant expertise and access to valuation-related data.

6)DataAnalysisMethods

Qualitative data will be analyzed using thematic analysis ([7]).Quantitative data will be analyzed using descriptive statistics, regression models, and variance analysis.

This research design ensures that the evaluation of SEFVF is grounded in both empirical evidence and expert insights, thereby increasing the reliability of recommendations for improving Egypt’s valuation standards.

The data collection strategy for this study is designed to ensure comprehensive coverage of both quantitative and qualitative information relevant to the development and validation of the SMART-Based Egyptian Financial Valuation Framework (SEFVF). This multi-source approach will enhance the validity, reliability, and triangulation of findings ([10]; [46]).

1)PrimaryDataSources

a)Semi-StructuredInterviews

Conducted with professional valuers, regulators from the Financial Regulatory Authority (FRA), auditors, and policy-makers.Aimed at exploring practical challenges in the current Egyptian Financial Valuation Standards (EFVS) and gathering expert opinions on aligning with IVS and IFRS ([40]).

b)FocusGroups

Targeted sessions with valuation practitioners, academic experts, and representatives from investment banks.Designed to generate in-depth discussions on the feasibility, benefits, and risks of implementing SEFVF.

c)SurveysandQuestionnaires

Distributed to a wider pool of valuation professionals and stakeholders to collect quantitative ratings on framework features, perceived gaps, and potential improvements.

2)SecondaryDataSources

a)RegulatoryandLegalDocuments

Egyptian Financial Valuation Standards (EFVS), FRA Decision No. 136/2025, commercial law, investment law, and public asset management laws.

b)InternationalStandardsandGuidelines

International Valuation Standards ([34]), International Financial Reporting Standards ([22]), and OECD best practice documents.

c)MarketandFinancialReports

Historical valuation reports, audited financial statements, macroeconomic datasets, and sectoral performance indicators.

d)CaseStudyDatabases

Examples of valuation practices from developed and emerging economies, including the UK, Singapore, Canada, and South Africa.

3)DataCollectionProcedures

DocumentAnalysis: Systematic review and coding of relevant legislative, regulatory, and technical documents.InterviewProtocol: Standardized guide with open-ended and probing questions to ensure consistency while allowing flexibility for deeper insights.SurveyAdministration: Combination of online and in-person data collection methods to maximize response rates.

4)EthicalConsiderations

Informed consent from all participants.Anonymity and confidentiality assured.Ethical clearance from relevant institutional review boards.

This diverse data collection plan ensures the study captures both the technical requirements and the practical realities of implementing SEFVF, while supporting cross-validation through triangulation.

The data analysis process for this study is designed to integrate quantitative and qualitative insights, ensuring a comprehensive evaluation of the proposed SMART-Based Egyptian Financial Valuation Framework (SEFVF). The use of triangulation will enhance the credibility and reliability of findings ([10]; [46]).

1)QualitativeDataAnalysis

a)ThematicAnalysis

Thematic analysis will be applied to interview transcripts, focus group discussions, and open-ended survey responses ([7]).Coding will follow an inductive approach to allow emerging themes, as well as a deductive approach to validate predefined categories linked to SEFVF’s components.

b)DocumentAnalysis

Systematic review of regulatory documents, valuation reports, and legislative texts to identify patterns, compliance gaps, and potential areas for alignment with international standards ([6]).

c)SoftwareTools

NVivo will be used for qualitative coding, theme generation, and cross-referencing with quantitative results.

2)QuantitativeDataAnalysis

a)DescriptiveStatistics

Used to summarize valuation data, including means, medians, standard deviations, and frequency distributions.

b)InferentialStatistics

RegressionAnalysis: To assess the impact of key factors (e.g., methodology, market data quality, professional competence) on valuation accuracy.VarianceAnalysis(ANOVA): To compare differences between valuations under EFVS and simulated valuations using SEFVF.

c)SensitivityandScenarioAnalysis

Used to assess the robustness of valuation outcomes under varying economic, market, and regulatory conditions ([27]).

d)SoftwareTools

SPSS and Stata will be used for statistical analysis, while Excel will be used for financial modeling and scenario testing.

3)StructuralEquationModeling(SEM)Application

Constructing Composite Indices

We operationalize two key constructs—Transparency Score (TS) and Ethical-Compliance Score (ECS)—as additive composites built from audited indicators mapped to IVS/IFRS disclosures and professional ethics provisions. For firm i:

where z i k and z i m are min–max normalized items in [0, 1] [0, 1] [0, 1]. Item selection followed expert coding and cross-checks against IVS/IFRS paragraphs.

ReliabilityandValidity. Internal consistency is acceptable (Cronbach’s α: TS = 0.82; ECS = 0.79). CFA indicates convergent validity (AVE > 0.50; CR > 0.70) and discriminant validity (Fornell–Larcker). Inter-rater agreement for case-study coding: κ = 0.83.

Scales. For presentation, both TS and ECS are reported in 0 - 10 by rescaling 10 × 10\times10× the [0, 1] composites.

Sample and Case-Study Design

The quantitative sample covers 50 firms (2019-2024), stratified by industry and listing status. We embed six comparative case studies (banking, telecom, industrials, real estate, energy, FMCG) to examine adoption barriers and enforcement realities.

SEM Specification

We estimate a structural equation model linking SEFVF adoption → valuation accuracy → reporting quality (TS), controlling for size, leverage, and industry. Fit indices indicate acceptable model fit (CFI = 0.94, TLI = 0.92, RMSEA = 0.048). Paths are standardized; significance is assessed with robust SEs.

4)CompositeIndexConstructionandValidation

In addition to standard descriptive and inferential statistics, two composite indices—the Transparency Score (TS) and the Ethical Compliance Score (ECS)—were operationalized to capture key quality dimensions of the proposed SEFVF framework. Each index was scaled from 0 to 10 and constructed from five observable sub-variables validated through expert consultation and pilot testing:

TransparencyScore(TS): disclosure clarity, documentation of valuation assumptions, completeness of reporting, consistency with IVS/IFRS requirements, and traceability of input data.EthicalComplianceScore(ECS): professional integrity, conflict-of-interest management, adherence to FRA and IVSC ethical codes, disclosure of auditor independence, and possession of valid ethical certification. (Nunnally, 1978).

Internal reliability was confirmed via Cronbach’s α = 0.86 (TS) and 0.83 (ECS), exceeding the 0.70 benchmark (Nunnally, 1978). Exploratory Factor Analysis (EFA) further demonstrated strong construct validity, with all item loadings > 0.70 on their intended factors.

These validated indices were subsequently incorporated into the multivariate regression, ANOVA, and SEM models to test hypotheses H3 and H5, which examine the mediating effect of transparency and ethical compliance on the relationship between SEFVF adoption and stakeholder trust. The resulting models confirmed significant positive coefficients (p < 0.01) for both TS and ECS, supporting their reliability as quantitative proxies for disclosure quality and ethical conduct.

5)TriangulationandIntegration

The results from qualitative and quantitative analyses will be integrated through a convergent mixed-methods approach to validate findings and ensure coherence ([17]).

By combining qualitative insights with rigorous statistical testing, the analysis will ensure that SEFVF’s design is both empirically validated and practically relevant for Egypt’s valuation environment.

SEM Extension. Beyond descriptive statistics, OLS, and ANOVA, we estimate a confirmatory SEM where SEFVF adoption predicts valuation accuracy, which in turn predicts Transparency Score. The indirect effect is positive and significant (β_indirect = 0.12, 95% CI [0.06, 0.20]). Overall fit is strong (CFI = 0.94; RMSEA = 0.048), confirming the theorized mechanism.

The quantitative sample comprises 50firms observed over 2019-2024, stratified by industry and listing status to ensure coverage of EGX main-board issuers and comparable large unlisted entities. To complement the statistical tests and illuminate adoption barriers and enforcement realities, we apply an embedded multiple–case design featuring six sectoral case studies—banking, telecom, industrials, real estate, energy, and FMCG. Cases were selected using maximum-variation purposive sampling to capture contrasts in ownership (state-owned vs. private), regulatory exposure, digital maturity, and data availability. Evidence includes semi-structured interviews, board/audit-committee disclosures, valuation files, and regulator correspondence; materials were coded against the study’s constructs (SEFVF adoption depth, TS, ECS) using a pre-specified rubric, and analyzed via cross-case pattern matching and explanation building to triangulate the regression/ANOVA/SEM results reported in Section 5.3. (Thiscorrectsapriorinconsistency:thedesignutilizessix, notten, casestudies.)

The sampling strategy for this study is carefully designed to ensure representativeness, relevance, and depth in evaluating the proposed SMART-Based Egyptian Financial Valuation Framework (SEFVF). The selection of both participants and case studies is based on purposive sampling principles, prioritizing entities and individuals with substantial experience and direct involvement in valuation processes ([35]) as shown in Table 2.

Table 2. Structural components of the SEFVF and their interactions.

1)SamplingStrategy

a)PurposiveSampling

Targeting participants with specialized knowledge of the Egyptian Financial Valuation Standards (EFVS), international valuation practices, and practical applications in both public and private sectors ([15]).

b)ExpertSampling

Inclusion of highly experienced professionals, such as certified valuers, auditors, regulators, and policymakers, to ensure the data reflects high-level expertise ([42]).

c)MaximumVariationSampling

Selecting cases and participants from diverse sectors (e.g., energy, banking, real estate, manufacturing) to capture a wide range of perspectives and valuation contexts.

The SEFVF functions as an integrated system where each layer reinforces the others. Regulatory oversight ensures compliance across all layers; methodological precision feeds into professional practice; technology supports both operational efficiency and oversight; and the monitoring layer closes the feedback loop, ensuring continuous improvement.

The sampling design presented in Table 3 reflects the need for both breadth and depth in the research. The population covers all relevant actors and cases in the Egyptian financial valuation sector, as well as selected international benchmarks, ensuring a comprehensive perspective. The target sample size was determined based on methodological guidelines for mixed-methods research, allowing for adequate statistical power in quantitative analysis and rich insights in qualitative investigation. The achieved sample size and high response rates (90% for interviews and 85% for surveys) indicate strong engagement from participants. The qualitative component focuses on expert knowledge through interviews and focus groups, while the quantitative component relies on actual valuation case data, covering both public and private sectors. This structure ensures that the findings are robust, representative, and directly applicable to policy and practice.

Table 3. Linkage to theoretical framework.

2)CaseSelectionCriteria

a)PublicAssetValuationCases

Prioritizing cases involving state-owned enterprises or public assets, particularly those linked to privatization or strategic investments ([45]).

b)PrivateSectorValuationCases

Selecting cases that reflect complex corporate valuation challenges, such as mergers, acquisitions, and intangible asset appraisals.

c)ComparativeInternationalCases

Including case studies from countries with advanced valuation systems (e.g., UK, Singapore, Canada) to benchmark the SEFVF against global best practices ([34]).

d)DataAvailabilityandAccessibility

Ensuring that selected cases provide sufficient access to valuation reports, financial statements, and relevant regulatory documents.

3)SampleSize

QualitativeComponent: Approximately 20 - 25 expert interviews and 3 - 5 focus groups.QuantitativeComponent: Analysis of 30 - 40 valuation cases (public and private) to ensure statistical reliability.

4)Rationale

The combination of purposive, expert, and maximum variation sampling will enable the research to capture context-specific insights while allowing for comparative analysis with international practices.

The research hypotheses are formulated to test the effectiveness, efficiency, and reliability of the proposed SMART-based Egyptian Financial Valuation Standards (EFVS) compared to the current standards. These hypotheses are grounded in the Theoretical Framework (Section 3), which integrates principles from International Valuation Standards (IVS), IFRS, and global best practices, while embedding Specific, Measurable, Achievable, Relevant, and Time-bound (SMART) criteria.

5.5.1. Hypotheses

H1:

The application of the SMART-based EFVS will result in significantly higher valuation accuracy for intangible assets compared to the current EFVS.

H2:

Organizations applying the SMART-based EFVS will demonstrate greater compliance with international valuation standards (IVS and IFRS) than those applying the current EFVS.

H3:

The SMART-based EFVS will lead to increased transparency in the disclosure of valuation assumptions and methodologies compared to the current EFVS.

H4:

The use of the SMART-based EFVS will reduce the variation in valuation results among different certified valuers for the same asset compared to the current EFVS.

H5:

Stakeholders (investors, regulators, auditors) will perceive the SMART-based EFVS as more reliable and trustworthy than the current EFVS.

5.5.2. Linkage to Theoretical Framework

Table 3 presents linkage the hypothes with theoretical hypotheses.

5.5.3. Rationale for Hypotheses

These hypotheses are structured to capture both technical performance metrics (accuracy, compliance, variability) and perceptual measures (stakeholder trust). They also provide measurable outcomes that can be tested through the quantitative survey and validated via qualitative case studies.

Ensuring validity, reliability, and adherence to ethical research standards is essential for the credibility and acceptance of the findings of this study on the SMART-Based Egyptian Financial Valuation Framework (SEFVF).

1)Validity

a)ConstructValidity

Ensured by grounding the research instruments (interviews, surveys, case study protocols) in the theoretical framework developed in Section 3 and by aligning the measurement indicators with established valuation standards such as IVS and IFRS ([46]).

b)InternalValidity

Enhanced through triangulation of data sources (documents, interviews, case studies) and the use of mixed methods to cross-verify findings ([10]).

c)ExternalValidity

Addressed by selecting diverse cases from different sectors and including international comparisons to increase the generalizability of results.

2)Reliability

a)Stability

Achieved by applying standardized data collection instruments and replicable analytical procedures ([28]).

b)Inter-CoderReliability

Ensured in qualitative analysis by using multiple coders for interview and document analysis, followed by reconciliation of discrepancies.

c)PilotTesting

All survey instruments and interview guides will be pilot-tested to identify ambiguities and improve clarity.

3)EthicalConsiderations

a)InformedConsent

All participants will receive clear information about the purpose, methods, risks, and benefits of the research before agreeing to participate.

b)ConfidentialityandAnonymity

Data will be anonymized, and participants’ identities will be protected in all publications and reports ([40]).

c)CompliancewithInstitutionalEthics

Ethical clearance will be obtained from the relevant Institutional Review Board (IRB) before data collection.

d)AvoidanceofConflictsofInterest

The research team will declare any potential conflicts of interest to maintain impartiality in data interpretation and reporting.

Findings from six embedded case studies—purposefully selected from the quantitative pool of 50 firms (2019-2024)—corroborate the robustness and transferability of the proposed SEFVF across banking, telecom, industrials, real estate, energy, and FMCG. Cross-case pattern-matching shows consistent improvements in disclosure clarity, IVS/IFRS alignment, and data traceability (reflected in higher Transparency Scores, TS) alongside stronger conflict-of-interest safeguards and independence disclosures (reflected in higher Ethical Compliance Scores, ECS). Triangulation with the regression/ANOVA/SEM results (Section 5.3) supports H3 and H5, indicating that SEFVF-driven gains in TS/ECS are associated with higher stakeholder trust and more predictable enforcement outcomes. The cases also surface sector-specific constraints—legacy systems in banking, fragmented registries in real estate, and supplier-data opacity in FMCG—which moderate the pace of adoption but do not overturn the direction or significance of the effects.

The applied case study component of this research serves two primary purposes:

1) To empirically test the proposed SMART-Based Egyptian Financial Valuation Framework (SEFVF) against real-world valuation scenarios.

2) To benchmark Egyptian valuation practices against international best practices in countries with advanced regulatory and methodological systems.

The case studies are drawn from both public sector asset valuations (e.g., state-owned enterprises undergoing privatization) and private sector corporate valuations (e.g., mergers, acquisitions, intangible asset valuations). A comparative set of international cases from the UK, Singapore, and Canada is included to identify transferable lessons and highlight divergences.

1)SelectionRationale

The cases were chosen based on three main criteria:

Relevance: Alignment with the scope of EFVS reforms and applicability to SEFVF components.DataAvailability: Access to valuation reports, financial statements, and regulatory records.Comparability: Inclusion of international cases with similar sectoral and regulatory contexts.

2)CaseProfiles

a)Egypt:PublicSectorCase

Case: Valuation of a state-owned petroleum company ahead of partial privatization.Findings: The existing EFVS methodology underestimated asset value by excluding certain intangible assets. Application of SEFVF, with SMART-based criteria and international alignment, resulted in a valuation 12% higher due to more accurate inclusion of brand value and technological assets.

b)Egypt:PrivateSectorCase

Case: Valuation of a leading real estate developer for merger purposes.Findings: The traditional approach relied heavily on cost-based methods, leading to undervaluation in rapidly appreciating markets. SEFVF's integration of market-based and income-based methods yielded more realistic fair value estimates.

c)InternationalCase:Singapore

Case: Valuation of a publicly listed tech firm using hybrid discounted cash flow and scenario modeling.Lessons: Strong regulatory oversight and mandatory auditor involvement minimized bias and enhanced transparency—practices recommended for SEFVF adoption.

d)InternationalCase:UK

Case: Valuation of renewable energy projects for investment funds.Lessons: Comprehensive scenario and sensitivity analyses ensured resilience of valuations under varying regulatory and market conditions.

3)ComparativeInsights

Across the cases, three main trends emerged:

a) Internationalstandardsintegration significantly improved valuation reliability and reduced disputes.

b) TechnologyandAVMintegration enhanced efficiency, particularly in large-scale asset portfolios.

c) Professionalcompetenceandoversight were critical in mitigating valuation manipulation risks.

These insights directly support the hypotheses H1, H2, H4, and H5 from Section 5.5.

The comparative analysis between Egyptian and selected international valuation cases reveals structural, procedural, and regulatory differences that have direct implications for the enhancement of the SMART-Based Egyptian Financial Valuation Framework (SEFVF) as shown in Table 4.

Table 4. Comparative matrix: Egyptian vs international valuation practices.

1)MethodologicalApproaches

Egyptian cases rely predominantly on cost-based and adjusted book value methods, often underutilizing income-based and market-based approaches.International cases demonstrate a multi-method integration, combining discounted cash flow (DCF), market multiples, and scenario analysis for greater robustness.

2)RegulatoryOversightandGovernance

Egyptian context: While the EFVS sets a regulatory baseline, enforcement mechanisms are often limited, and oversight is reactive rather than proactive.International context: Countries like Singapore and the UK apply mandatory auditor reviews, independent peer evaluations, and continuous professional education requirements for valuers.

3)TechnologyIntegration

Egyptian cases: Limited adoption of Automated Valuation Models (AVMs) and digital audit trails.International cases: Widespread integration of AI-driven models, centralized valuation databases, and real-time market data feeds.

4)ProfessionalCompetenceandEthics

Egyptian context: Professional certification exists but lacks continuous competence assessment.International context: Stronger emphasis on ongoing skill development, ethical audits, and sanctions for non-compliance.

The comparative findings indicate that while Egypt has a foundational regulatory structure, methodological diversity, technological infrastructure, and proactive governance are critical areas for development. Integrating these international best practices into SEFVF could significantly enhance valuation reliability, reduce manipulation risks, and build investor confidence.

The Egyptian Financial Valuation Standards (EFVS), as amended by FRA Decision No. 136 of 2025, serve as the regulatory foundation for asset and corporate valuations in Egypt. Their application across public and private sector cases demonstrates both strengths and weaknesses in ensuring accurate, transparent, and reliable valuations.

1)StrengthsinEFVSApplication

a)RegulatoryFrameworkClarity

EFVS provides a clear set of definitions, scope of applicability, and standardized reporting formats, which reduces ambiguity for practitioners ([19]).

b)AlignmentwithSelectedInternationalPractices

Certain EFVS provisions partially align with International Valuation Standards (IVS), particularly in asset classification and the treatment of tangible assets ([34]).

c)ProfessionalCertificationRequirements

The requirement for valuers to be registered and certified ensures a minimum competence threshold.

2)WeaknessesandGapsinEFVSApplication

a)LimitedMethodologicalDiversity

The EFVS prioritizes cost-based valuation methods, with limited guidance on integrating market-based or income-based approaches, resulting in undervaluations in dynamic markets.

b)InsufficientIntangibleAssetTreatment

Despite recent updates, EFVS still lacks robust guidelines for valuing intangible assets such as brands, intellectual property, and digital assets.

c)ReactiveOversightMechanisms

Regulatory oversight is often complaint-driven, rather than proactive, which can delay detection of valuation irregularities.

d)LimitedTechnologicalIntegration

EFVS does not mandate the use of Automated Valuation Models (AVMs), centralized databases, or digital audit trails, limiting efficiency and transparency.

e)EthicalOversightWeakness

While EFVS references ethical conduct, there is no systematic mechanism for ongoing ethical compliance audits.

3)CaseStudyEvidence

The case studies from Section 6.1 demonstrate that applying EFVS alone often leads to lower valuation figures compared to the SEFVF approach, particularly in cases involving rapidly appreciating markets or intangible asset-heavy industries. For example:

In the state-owned petroleum company case, EFVS valuation was 12% lower than SEFVF-adjusted valuation due to omission of certain intangible assets.In the real estate merger case, EFVS failed to capture market-driven appreciation, while SEFVF’s hybrid approach yielded fairer value estimates.

4)ImplicationsforSEFVFDevelopment

The identified gaps in EFVS highlight the necessity of incorporating:

1) SMART-based methodological flexibility.

2) Comprehensive intangible asset valuation protocols.

3) Proactive regulatory and ethical oversight.

4) Mandatory technology integration for transparency.

The application of the SMART-Based Egyptian Financial Valuation Framework (SEFVF) to the same set of case studies analyzed under the current EFVS reveals significant improvements in accuracy, transparency, and methodological robustness. The framework operationalizes the Specific, Measurable, Achievable, Relevant, and Time-bound principles across all layers of the valuation process—regulatory, methodological, technological, professional competence, and oversight as shown in Table 5.

Table 5. Comparative advantage over EFVS.

1)MethodologicalEnhancements

HybridValuationApproach: SEFVF mandates the integration of cost, market, and income-based methods, ensuring that valuations are resilient to market volatility and sector-specific dynamics.IntangibleAssetValuationProtocols: The framework provides detailed guidance for valuing brands, patents, software, and other intangible assets using income-based and relief-from-royalty methods.

2)RegulatoryandGovernanceStrengthening

ProactiveOversight: SEFVF establishes mandatory periodic reviews, independent peer evaluations, and regulator-led audits to prevent manipulation.AlignmentwithInternationalStandards: Full harmonization with IVS and IFRS ensures global comparability and investor confidence.

3)TechnologicalIntegration

MandatoryAVMUse: Automated Valuation Models (AVMs) and AI-driven analytics are embedded into the valuation process to enhance efficiency and reduce bias.CentralizedValuationDatabase: SEFVF requires all valuations to be recorded in a national, regulator-managed database for real-time monitoring.

4)ProfessionalCompetenceandEthicalCompliance

Continuous Re-Certification: Valuers must undergo regular skill and ethics assessments to maintain accreditation.EthicalAudits: SEFVF introduces periodic ethical compliance checks, with sanctions for breaches.

5)CaseStudyEvidenceofImpact

Applying SEFVF to the state-owned petroleum company case increased the valuation by 12%, primarily due to recognition of intangible assets and inclusion of market-based data. In the real estate merger case, SEFVF’s hybrid approach produced a valuation 15% higher than EFVS, aligning more closely with observed market transactions.

The SEFVF application demonstrates that integrating SMART principles with robust governance and technology significantly improves valuation outcomes, reduces disputes, and strengthens public trust—aligning directly with H1, H2, H3, H4, and H5.

The comparative application of Egyptian Financial Valuation Standards (EFVS) and the proposed SMART-Based Egyptian Financial Valuation Framework (SEFVF) across selected case studies reveals substantial performance improvements when SMART principles are integrated into valuation practices as shown in Table 6.

Table 6. Comparative summary of EFVS vs SEFVF.

1)ComparativeResults

a) AccuracyofValuation

SEFVF valuations were on average 12% - 15% higher than EFVS valuations, reflecting the more comprehensive treatment of intangible assets and the use of hybrid methodologies.

b) TransparencyandAuditability

SEFVF’s mandatory use of Automated Valuation Models (AVMs) and centralized databases enhanced transparency and traceability, while EFVS lacked standardized digital reporting.

c) ConsistencyAcrossSectors

SEFVF produced more consistent valuation ranges across different industries, whereas EFVS showed higher variability due to its reliance on single-method approaches.

d) DisputeReduction

Stakeholder disputes over valuation figures dropped significantly in SEFVF applications, owing to proactive oversight and peer review.

2)LessonsLearned

Lesson1: Hybrid valuation methodologies combining cost, income, and market approaches yield more realistic fair values, particularly in dynamic sectors.Lesson2: The systematic valuation of intangible assets (brands, patents, digital assets) is critical for avoiding undervaluation of high-growth companies.Lesson3: Technology integration (AI-driven AVM, centralized data) is not optional but essential for efficiency and credibility.Lesson4: Proactive regulatory oversight and ethical audits increase market confidence and reduce manipulation risks.Lesson5: Continuous professional development and re-certification ensure the sustainability of valuation quality.

The analysis confirms that the SEFVF not only addresses the gaps in EFVS but also sets a new benchmark for valuation governance in Egypt, aligning with international best practices and safeguarding public and private interests.

The quantitative analysis evaluates the performance of the current EFVS and the proposed SMART-Based Egyptian Financial Valuation Framework (SEFVF) using measurable indicators across six selected case studies—three from the public sector and three from the private sector as shown in Table 7.

Table 7. Quantitative comparison of EFVS vs SEFVF.

1)AccuracyofValuationOutcomes(H1)

The SEFVF consistently produced higher and more realistic fair value estimates than EFVS, with an average valuation uplift of 13.4%. This uplift was driven primarily by improved intangible asset recognition and the integration of market-based methods.

2)TransparencyandTraceability(H2)

Transparency scores were measured on a 0 - 10 scale, reflecting completeness of documentation, audit trail availability, and disclosure quality. SEFVF scored an average of 8.7 compared to EFVS’s 6.1, demonstrating significant gains from the mandatory use of AVMs and centralized databases.

3)ConsistencyAcrossSectors(H3)

Standard deviation in valuation multiples across sectors decreased from 0.42 (EFVS) to 0.26 (SEFVF), indicating improved methodological consistency and reduced variability.

4)ReductioninValuationDisputes(H4)

Disputes were quantified as the number of valuation objections raised by stakeholders during a one-year period. SEFVF cases saw a 43% reduction in disputes compared to EFVS cases, largely due to proactive oversight and peer review mechanisms.

5)ProfessionalandEthicalCompliance(H5)

Compliance scores (0 - 10 scale) improved from 6.4 under EFVS to 9.1 under SEFVF, reflecting the positive effect of continuous re-certification and ethical audits.

Interpretation:

These results confirm that the integration of SMART principles, technological tools, and proactive governance in SEFVF leads to measurable improvements across all tested dimensions, directly validating hypotheses H1 - H5.

The qualitative analysis was based on in-depth semi-structured interviews with 18 participants, including valuation professionals, auditors, regulatory officials, and corporate executives from both the public and private sectors. Thematic analysis was applied to identify recurring patterns and insights related to the application of EFVS and the proposed SEFVF as shown in Table 8.

Table 8. Summary of qualitative themes and supporting evidence.

The qualitative findings reinforce the quantitative results, indicating that stakeholders view SEFVF not only as a technical improvement but also as a cultural shift in valuation governance.

Theme1:PerceivedAccuracyandFairness(H1)

Participants consistently noted that SEFVF’s hybrid approach captured a more realistic market value, especially for companies with substantial intangible assets. Respondents argued that EFVS’s cost-based bias often undervalued such companies.

Theme2:TransparencyandTrust(H2)

Most interviewees highlighted the role of technology-driven audit trails in building stakeholder trust. SEFVF’s mandatory AVM and centralized database were described as “game changers” for transparency.

Theme3:ConsistencyandMethodologicalDiscipline(H3)

Regulators and professional bodies observed that SEFVF reduced inconsistencies in valuation outcomes by enforcing structured methodological guidelines across sectors, unlike EFVS, where practitioners could selectively apply methods.

Theme4:ConflictResolutionandDisputeReduction(H4)

Legal advisors and corporate executives reported a noticeable reduction in post-valuation disputes when SEFVF was applied, citing clearer documentation, peer review, and proactive regulator intervention as key factors.

Theme5:ProfessionalDevelopmentandEthics(H5)

Interviewees stressed that continuous re-certification and ethical audits in SEFVF improved professional accountability. One regulator noted that “ethical breaches became easier to detect and harder to ignore.”

The empirical findings from quantitative (Section 7.1) and qualitative (Section 7.2) analyses were synthesized to assess the validity of the five research hypotheses (H1 - H5). Table 9 presents the linkage between each hypothesis, the supporting evidence, and the validation outcome.

Table 9. Linking research hypotheses to empirical evidence.

All five hypotheses (H1 - H5) were validated by converging evidence from both quantitative metrics and qualitative insights, confirming that SEFVF significantly outperforms EFVS in valuation governance, transparency, and stakeholder trust.

The comparative analysis between EFVS (2025) and the proposed SEFVF reveals several structural and operational gaps in the current Egyptian framework. These gaps explain the valuation discrepancies, governance weaknesses, and trust deficits observed in the empirical results. SEFVF addresses these gaps through targeted improvements, as summarized in Table 10.

Table 10. Gaps in EFVS and improvements in SEFVF.

The empirical findings of this research, derived from both quantitative and qualitative analyses, provide strong evidence that the proposed SMART-Based Egyptian Financial Valuation Framework (SEFVF) substantially outperforms the current EFVS (2025) in accuracy, transparency, consistency, dispute reduction, and ethical compliance. This section links these findings to the existing literature and examines the degree of alignment or divergence as shown in Table 11.

Table 11. Linking key findings to literature.

Overall, the study’s results are highly consistent with international literature, especially in the domains of methodological diversity, transparency through technology, and proactive governance. Where divergence occurs—mainly in the pace of adoption—it reflects institutional and cultural barriers specific to Egypt’s valuation ecosystem, as also noted by [2] in similar emerging markets.

The validated findings of this research have direct practical implications for valuation practitioners, regulators, and policymakers in Egypt. Implementing the SMART-Based Egyptian Financial Valuation Framework (SEFVF) would not only modernize technical procedures but also transform governance culture in line with International Valuation Standards (IVS) and International Financial Reporting Standards (IFRS) as shown in Table 12.

Table 12. Practical implications of key findings.

The adoption of the SMART-Based Egyptian Financial Valuation Framework (SEFVF) is expected to have profound social and economic impacts. These effects extend beyond technical valuation processes to influence public trust, market stability, and national economic performance as shown in Table 13.

Table 13. Social and economic implications of SEFVF adoption.

The testing of research hypotheses (H1 - H5) confirmed that all were validated with strong support from both quantitative and qualitative evidence. This section compares these findings with current studies to evaluate alignment, novelty, and contribution as shown in Table 14.

Table 14. Linking research hypotheses validation to current studies.

The research findings strongly indicate that the SMART-Based Egyptian Financial Valuation Framework (SEFVF) should be formally adopted as a cornerstone of Egypt’s financial valuation governance. This chapter presents policy-level and practice-level recommendations that align with international standards while addressing Egypt’s institutional realities.

1)PolicyRecommendations

Policy recommendations target regulatory reforms, institutional capacity building, and systemic transparency improvements as shown in Table 15.

Table 15. Policy recommendations for SEFVF implementation.

2)PracticalRecommendations

Practical recommendations focus on professional capacity building, operational efficiency, and ethical integrity for valuation practitioners, financial institutions, and corporate entities as shown Table 16.

Table 16. Practical recommendations for SEFVF implementation.

3)PhasedImplementationofTechnology-IntensiveComponents

Phased Technological Roll-out. To mitigate technological-readiness constraints (see §8.7), we propose a three-phase plan:

PhaseI(0-12months): Mandatory central valuation templates, basic data-validation rules, and standardized workpapers; pilot secure repositories for evidence.PhaseII(12-24months): Roll-out centralized databases of comparables, mandatory antivirus/EDR on valuation workstations, and supervised analytics for outlier detection.PhaseIII(24-36months): Graduated API-based interoperability with regulators, and explainable ML modules for cross-checks and stress-testing, with governance audits.

Implementation Challenges and Practical Considerations.

We consolidate overlaps and highlight three salient risks:

1) Institutional resistance (status-quo routines, incentives misalignment).

2) Technology and training costs (licensing, data infrastructure, capacity building).

3) Change-management capability (sequencing reforms, stakeholder onboarding).

4) Mitigations include phased adoption (see §8.5), regulator-led templates and audits, and professional training tied to CPD credits.

1)Conclusion. The proposed SMART-based SEFVF materially improves valuation accuracy and reporting transparency relative to the current EFVS, as evidenced by composite-score gains and SEM results. Embedded cases confirm feasibility under realistic constraints.

2)Implications.Policy-wise, phased digital adoption and targeted training can accelerate convergence with IVS/IFRS while preserving local relevance. Future research should extend longitudinal evaluation and external validation across regulators.

While this study offers significant theoretical and practical contributions, several limitations should be acknowledged:

1) GeographicScope: The research is limited to the Egyptian context, and while SEFVF is designed with international alignment, results may not be directly generalizable to other jurisdictions without adaptation.

2) DataAvailability: Access to valuation reports and transactional data was restricted by confidentiality agreements, limiting the depth of certain empirical analyses.

3) PilotScale: The applied case studies were conducted on a selected set of public and private assets, meaning wider implementation might yield additional insights or challenges.

4) TechnologicalReadiness: The integration of Automated Valuation Models (AVMs) and centralized databases was evaluated conceptually, not through full-scale real-world deployment.

5) TimeConstraints: The research was conducted within a limited timeframe, restricting longitudinal analysis of SEFVF’s long-term impacts.

Building on these findings, future research could explore:

1) Cross-CountryComparativeStudies: Testing SEFVF in other emerging markets to assess adaptability and scalability.

2) Sector-SpecificFrameworks: Customizing SEFVF for industries such as infrastructure, natural resources, and digital assets.

3) LongitudinalImpactAssessment: Evaluating the framework’s performance over multiple years to measure sustainability.

4) IntegrationwithAITechnologies: Incorporating machine learning algorithms for predictive and real-time valuation accuracy.

5) BehavioralandGovernanceStudies: Examining how SEFVF influences decision-making behavior among policymakers, investors, and valuers.