<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1110753</article-id><article-id pub-id-type="publisher-id">OALibJ-128801</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Mathematical Model of Actuarial Valuation of Social Benefits in Latin America under IAS 19
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Evaristo</surname><given-names>Diz Cruz</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jeffrey</surname><given-names>T. Query</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>New Mexico State University, Las Cruces, USA</addr-line></aff><aff id="aff1"><addr-line>Spanish Institute of Actuaries, Madrid, Spain</addr-line></aff><pub-date pub-type="epub"><day>28</day><month>09</month><year>2023</year></pub-date><volume>10</volume><issue>10</issue><fpage>1</fpage><lpage>9</lpage><history><date date-type="received"><day>16,</day>	<month>September</month>	<year>2023</year></date><date date-type="rev-recd"><day>28,</day>	<month>October</month>	<year>2023</year>	</date><date date-type="accepted"><day>31,</day>	<month>October</month>	<year>2023</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Development of a generic model for the valuation of Labor Liabilities under the international standards IAS 19 and FASB 87, for defined benefits, generally granted in Latin American countries, following [1]. The contribution of this work is to provide a detailed valuation tool for defined benefits that depend structurally on a salary and creditable service over time. Likewise, assess a defined benefit plan for termination of employment under 2 very similar current approaches, but with different liabilities [2].
 
</p></abstract><kwd-group><kwd>Defined Benefits</kwd><kwd> IAS 19</kwd><kwd> FASB 87</kwd><kwd> Benefit Method</kwd><kwd> Projected</kwd><kwd> Actuarial Models</kwd><kwd> Liabilities</kwd><kwd> Actuarial Costs</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Description of Benefits</title><p>Generally, the benefits as in the case of Venezuela, in effect, are a function of two variables: on the one hand, the salary, and on the other hand, creditable service in the company [<xref ref-type="bibr" rid="scirp.128801-ref3">3</xref>] . Additionally, there is a parameter of goodness associated with the magnitude of the benefits that are going to be granted (see <xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>In the most elementary case for the issue of retroactive benefits, the form of the benefit is as follows:</p><p>B x : Benefit at age x.</p><p>x − y : Cumulative service between ages x e y.</p><p>S x : Salary at age x.</p><p>K%: Goodness parameter.</p><p>The benefit at age x is</p><p>B x = ( K % ) ( S x ) ( x − y ) (1)</p><p>Generally, 0 ≤ K ≤ 1 .</p><p>Generally, the benefit due to its structure presents exponential growth, derived from the change in salaries, following [<xref ref-type="bibr" rid="scirp.128801-ref3">3</xref>] and [<xref ref-type="bibr" rid="scirp.128801-ref4">4</xref>] .</p><p>S ^ x = S x − 1 ( 1 + s ) (2)</p><p>Being s the rate of salary increases 0 ≤ s ≤ 1 .</p><p>In particular,</p><p>S ^ x = S o ( 1 + s ) x − y (3)</p><p>S o : Starting salary at age .</p><p>Under the projected benefit method, which is indicated in IAS 19, the service accumulated to date is frozen and the salary is projected, as can be seen in the following graph (see <xref ref-type="fig" rid="fig2">Figure 2</xref>).</p><p>Δ T 1 : Current service = x − y .</p><p>Δ T 2 : Future service = w − x .</p><p>So he;</p><p>1) B x = ( K ) ( S x ) ( x − y ) Cumulative benefit at age x (4)</p><p>2) B ^ r = ( K ) ( s r ) ( x − y ) Cumulative benefit at age renelintervalo: (x, w) (5)</p><p>An interesting variable is the difference in profits accumulated in the interval ( x , x + 1 ) which we will call b x</p><p>b ^ x = B ^ x + 1 − B x (6)</p><p>B ^ x + 1 : Accumulated profit in x + 1 .</p><p>B x : Estimated profit in x.</p><p>b: Annual rate of profit increase.</p><p>b ^ x : Estimated change in profit between ( x , x + 1 ) .</p><p>(See <xref ref-type="fig" rid="fig3">Figure 3</xref>)</p><p>b ^ x = B ^ x + 1 − B x (7)</p><p>= B x ( 1 + b ) − B x (8)</p><p>= B x [ ( 1 − b ) − 1 ] (9)</p><p>= B x b (10)</p><p>Being 0 ≤ b ≤ 1 , the rate of increase of profit.</p><p>In the case of retroactive defined benefits, the following follows</p><p>Being:</p><p>b ^ x = B ^ x + 1 − B x (11)</p><p>B x : Beneficio en x (12)</p><p>B x = K S x ( x − y ) and (13)</p><p>B ^ x + 1 = K S x + 1 ( x + 1 − y ) (14)</p><p>Then, the change being K = c t t e would be given by:</p><p>b ^ x = ( k ) S x + 1 ( x + 1 − y ) − K S x ( x − y ) (15)</p><p>= ( K ) S x ( 1 + s ) ( x + 1 − y ) − K S x ( x − y ) (16)</p><p>= K S x [ ( 1 + s ) ( x + 1 − y ) − ( x − y ) ] (17)</p><p>( 1 + s ) ( x + 1 − y ) ; service adjusted by the wage rate.</p><p>Expanding the bracket, we see:</p><p>[ ( 1 + s ) ( x + 1 − y ) − ( x − y ) ] = x ( s ) − y ( s ) + ( 1 + s ) (18)</p><p>= s ( x − y ) + ( 1 + s ) (19)</p><p>Then,#Math_45#; which represents the level of profit earned between</p><p>( x , x + 1 ) (20)</p></sec><sec id="s2"><title>2. Actuarial Liability Models</title><p>Under a job termination scheme, that is, at any time between the valuation date and an age previously defined as the mandatory age of departure, the following can be displayed.</p><p>(See <xref ref-type="fig" rid="fig4">Figure 4</xref>)</p><p>The worker in each future year between 40 years and 70 years can terminate his employment relationship. Suppose for pedagogical reasons only 3 causes of departure, death, turnover, leaving the company, that is, there are 3 contingencies given by tables that statistically reflect death, turnover and final departure.</p><p>q x m : Mortality rate at age x.</p><p>q x r : Turnover rate at age x.</p><p>q x s : Withdrawal rate at w.</p><p>It is important to note that eventually there are at least (2) models, one a little more expensive than the other in terms of labor cost based on the following concepts (see <xref ref-type="fig" rid="fig5">Figure 5</xref>):</p><p>MODEL 1 (MULTI-DECREASE)</p><p>In any case, once the worker reaches 40, he can leave at any time in the interval (40.70) according to the triplet of probabilities, that is, ( q x m , q x r , q x w ) if he dies, the benefit is paid to him or if his relationship ends or it comes out at the end of a mandatory way at w 70 years old. In any case, where it comes out and for whatever contingent reason, the benefit is paid to you.#Math_53#</p><p>In general, the structure of the model is as follows:</p><p>P B O x : Pasivo actuarial en x</p><p>P B O x = ∑ k = 0 w − 1 B k P x T V k + 1 (21)</p><p>Being; V = ( 1 + i ) − 1 e i = the interest rate (22)</p><p>Updated expected value of benefit in ( x , w − 1 ) con s = w</p><p>P x T = ( k p x ( m , r , s ) ) ( q x + r ( m , r , s ) ) (23)</p><p>Probability of leaving for all causes in ( x , r , w − 1 ) .</p><p>The above represents the exit for any cause in the interval (40, 70). We follow the reference [<xref ref-type="bibr" rid="scirp.128801-ref4">4</xref>] .</p><p>MODEL 2 (MULTIDECREMENT)<sup>1</sup></p><p>It is very similar to the previous model, however, by design, once w(70)the maximum valuation age is reached, the accumulated amount of the benefit is paid, obviously because it did not come out before, this emulates a mixed endowment in insurance, where both death as the survival of the insured.</p></sec><sec id="s3"><title>3. Comparative Analysis of the 2 Models</title><p>In summary, to understand the operation of the 2 models, the probabilistic structure of both is shown below (see <xref ref-type="table" rid="table1">Table 1</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Insurance mathematical models</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >MODEL I</th><th align="center" valign="middle" >v T T ≤ n 0 T &gt; n</th><th align="center" valign="middle" >A &#175; x : n &#175; 1 <sup>2</sup></th></tr></thead><tr><td align="center" valign="middle" >MODEL II</td><td align="center" valign="middle" >v T T ≤ n v n T &gt; n</td><td align="center" valign="middle" >A &#175; x : n &#175; <sup>3</sup></td></tr></tbody></table></table-wrap><p>T: It is a random variable that describes the future life span, at age x.</p><p>v: discount factor.</p><p><sup>1</sup>The second model, rewards the employee’s permanence in the company even ( w − 1 ) without a probability of leaving the company, recognizes a final benefit for job survival.</p><p><sup>2</sup>Its structure is similar to a term insurance for periods, in which case n = w − x .</p><p><sup>3</sup>It corresponds to a mixed insurance where leaving is rewarded at any time, in the period ( x , w − 1 ) , and if it did not leave, survival in the company is paid in w.</p><p>n: time to reach .</p><p>v = ( 1 + i ) − 1 ; being i the interest rate (24)</p><p>A<sup>1</sup>: Single premium or expected present value equivalent to (PBOU)<sup>1</sup>.</p><p>A<sup>2</sup>: Single Premium or Expected Present Value (PBOU)<sup>2</sup>.</p></sec><sec id="s4"><title>4. Test Results with Both Models</title><p>Below are the results of each of the aforementioned models with and without rewarding survival to the final age of departure w.</p><p>Annexes I-II show the tables used to describe mortality by age, rotation and probability of departure.</p><p>As expected, Model II is generally more expensive than Model I and in this sense, the contribution of our paper does not go beyond that; however, many times the benefit plans offered to workers are not clearly written in actuarial terms or, in other words, there is no easy actuarial derivation from the text of the benefit plan, which is generally a legal or intentional description that in the best of the cases it can have several interpretations; depending on which one is adopted, it will have a greater or lesser impact on the liability or actuarial obligation.</p></sec><sec id="s5"><title>5. Description of the Population</title><p>The actuarial assumptions and hypotheses of the actuarial valuation are summarized below:</p><p>1) Interest rate: 7.49%.</p><p>2) Salary increase rate: 4.88%.</p><p>3) Population rates: See Annex I and Annex II.</p><p>4) Real rate of interest on salary.</p><p>(See <xref ref-type="table" rid="table2">Table 2</xref>)</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Demographic summary</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >SUMMARY DEMOGRAPHIC</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >TO THE 31/03/2023</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >EVALUATED POPULATION</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >LEGAL ENTITY</td><td align="center" valign="middle" >FEM</td><td align="center" valign="middle" >MAS</td><td align="center" valign="middle" >TOTAL</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >EMPRESA ABC</td><td align="center" valign="middle" >97</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >329</td><td align="center" valign="middle" >100.00%</td></tr><tr><td align="center" valign="middle" >TOTAL</td><td align="center" valign="middle" >97</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >329</td><td align="center" valign="middle" >100.00%</td></tr><tr><td align="center" valign="middle"  colspan="3"  >WEIGHTING OF ACTIVE PERSONNEL DATA BY PAYROLL</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >LEGAL ENTITY</td><td align="center" valign="middle" >POPULATION</td><td align="center" valign="middle" >AVERAGE AGE (years)</td><td align="center" valign="middle" >AVERAGE SERVICE (years)</td><td align="center" valign="middle" >AVERAGE SALARY ($US)</td></tr><tr><td align="center" valign="middle" >EMPRESA ABC</td><td align="center" valign="middle" >329</td><td align="center" valign="middle" >34.40</td><td align="center" valign="middle" >6.60</td><td align="center" valign="middle" >3725.02</td></tr><tr><td align="center" valign="middle" >TOTAL</td><td align="center" valign="middle" >329</td><td align="center" valign="middle" >34.40</td><td align="center" valign="middle" >6.60</td><td align="center" valign="middle" >3725.02</td></tr></tbody></table></table-wrap><p>From the previous tables (see <xref ref-type="table" rid="table2">Table 2</xref>), it is observed:</p><p>1) A total of 329 employees with 70.5% men and the rest women.</p><p>2) The average age in the order of 34.4 years.</p><p>3) An antiquity of 6.60 years of service.</p><p>4) An average reference salary in US dollars in the order of 3725.02.</p></sec><sec id="s6"><title>6. Analysis of the Results</title><p>Below are the results of the application of both models to the same data from the ABC Company (see Tables 3-5).</p><p>MODEL I</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Actuarial obligations: MODEL I</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="3"  >ACTUARIAL OBLIGATIONS</th></tr></thead><tr><td align="center" valign="middle" >Population</td><td align="center" valign="middle" >PBO</td><td align="center" valign="middle" >Service Cost</td><td align="center" valign="middle" >Interest Cost</td></tr><tr><td align="center" valign="middle" >329</td><td align="center" valign="middle" >535784.16</td><td align="center" valign="middle" >102165.75</td><td align="center" valign="middle" >40130.23</td></tr><tr><td align="center" valign="middle" >329</td><td align="center" valign="middle" >535784.16</td><td align="center" valign="middle" >102165.75</td><td align="center" valign="middle" >40130.23</td></tr></tbody></table></table-wrap><p>MODEL II</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Actuarial obligations: MODEL II</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="3"  >ACTUARIAL OBLIGATIONS</th></tr></thead><tr><td align="center" valign="middle" >Population</td><td align="center" valign="middle" >PBO</td><td align="center" valign="middle" >Service Cost</td><td align="center" valign="middle" >Interest Cost</td></tr><tr><td align="center" valign="middle" >329</td><td align="center" valign="middle" >1.094839.36</td><td align="center" valign="middle" >169466.76</td><td align="center" valign="middle" >82003.47</td></tr><tr><td align="center" valign="middle" >329</td><td align="center" valign="middle" >1.094839.36</td><td align="center" valign="middle" >169466.76</td><td align="center" valign="middle" >82003.47</td></tr></tbody></table></table-wrap><p>As can be seen in <xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="table" rid="table4">Table 4</xref>, the liability difference is substantial, depending on the approach taken. Obviously, the demographics of the company, in terms of the number of employees by age, gender and magnitude of the benefit determine its magnitude.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Actuarial differentials</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >MMBs (Million of Bs)</th><th align="center" valign="middle" >MODEL I</th><th align="center" valign="middle" >MODEL II</th><th align="center" valign="middle" >∆%</th></tr></thead><tr><td align="center" valign="middle" >PBO</td><td align="center" valign="middle" >535</td><td align="center" valign="middle" >1094</td><td align="center" valign="middle" >48.90%</td></tr></tbody></table></table-wrap><p>The liability of Model I is less than half that of Model II.</p><p>In the end, what is important for this company is that the liability almost doubles, therefore, it is very important to clarify the issue of survival in the company.</p><p><sup>4</sup>Actuarial commutative functions help simplify calculations in general D x = ( v x ) ( l x ) .</p><p>In other words, whether or not to exhaustively recognize the survival of the employee in the company in the end is decisive in the magnitude of the cost. The foregoing is reduced, as explained above, by adding the term (Dw, Dx)<sup>4</sup> as a mixed insurance in actuarial commutative notation.</p></sec><sec id="s7"><title>7. Conclusions</title><p>Indeed, in almost all employment termination benefit plans, it seems obvious that the corresponding benefit will be paid at any time and for any cause of departure.</p><p>However, what we want to highlight is that if it is explicitly clear that the benefit is going to be paid for any of the two causes (m, r) in theory to close the probabilistic model or a third cause is added, which is the separation of the employee upon reaching the maximum exit age (w) or, a final exit benefit is recognized in the company. The point is simply that both approaches generate different costs that could be substantially different, depending on the distribution of the company’s demographics in terms of age and years of service and course of the creditable benefit accumulation system.</p><p>The use of a probability or exit rate of the company in (w) or the explicit recognition of the terminal benefit of survival in the company, are essentially 2 different types of benefits with different actuarial liabilities.</p><p>Because the legal text of some benefits may not be very clear, the difficulty arises in translating it into the actuarial formulation to evaluate the plan. Hence, the importance of clarifying very well with the company what the scope is in terms of the condition of the benefit.</p><p>As was clearly seen in the analysis of the results, the two possible versions are exhaustive and the differential cost can be important, to clearly distinguish if there is a survival benefit in the end, in the case that the 3 possible causes: {death (m), rotation (r), exit (s)} are only considered a payment with employer responsibility for (m and r) and not for (s), it is determining in the corresponding actuarial liability.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest.</p></sec><sec id="s9"><title>Cite this paper</title><p>Cruz, E.D. and Query, J.T. (2023) Mathematical Model of Actuarial Valuation of Social Benefits in Latin America under IAS 19. Open Access Library Journal, 10: e10753. https://doi.org/10.4236/oalib.1110753</p></sec><sec id="s10"><title>Annexes</title>Annex I<p>x: Age.</p><p>q<sub>x</sub> (m): Probability of death.</p><p>q<sub>x</sub> (crp): Probability of departure with employer responsibility (rotation).</p><p>q<sub>x</sub> (srp): Probability of departure withoutemployer responsibility (rotation).</p>Annex II<p>x: Age.</p><p>q<sub>x</sub> (m): Probability of death.</p><p>q<sub>x</sub> (crp): Probability of departure with employer responsibility (rotation).</p><p>q<sub>x</sub> (srp): Probability of departure without employer responsibility (rotation).</p><p>In this case, at the age of 70, the sum of all exit probabilities gives 1 with an explicit benefit of recognition in the event that the employee has not died or left with employer responsibility at (20, 69).</p></sec></body><back><ref-list><title>References</title><ref id="scirp.128801-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Buchelli Aguirre, E.E., Africano MartíNEZ, E.A. and Yara Rodríguez, Y.K. 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