<?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">OJBM</journal-id><journal-title-group><journal-title>Open Journal of Business and Management</journal-title></journal-title-group><issn pub-type="epub">2329-3284</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojbm.2019.72060</article-id><article-id pub-id-type="publisher-id">OJBM-91919</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Business&amp;Economics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Literature Review of the Research on Real Estate Financial Risk
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yemin</surname><given-names>Miao</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China</addr-line></aff><pub-date pub-type="epub"><day>01</day><month>02</month><year>2019</year></pub-date><volume>07</volume><issue>02</issue><fpage>876</fpage><lpage>891</lpage><history><date date-type="received"><day>25,</day>	<month>March</month>	<year>2019</year></date><date date-type="rev-recd"><day>19,</day>	<month>April</month>	<year>2019</year>	</date><date date-type="accepted"><day>22,</day>	<month>April</month>	<year>2019</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>
 
 
  After a brief conceptual explanation and background introduction of real estate finance and its risks, this paper mainly focuses on the relationship between real estate price fluctuation and financial risk, real estate bubble, the formation and transmission of real estate financial risk, and the control of real estate financial risk. Several research categories were classified and related research was reviewed. In the end, it summarizes and puts forward that China’s research on real estate financial risk also has the following problems and development direction: the research on the connotation of real estate financial risk needs to be improved; the research on real estate bubble needs to be quantified; the research on risk formation needs to be deepened from the mechanism; the research on risk transmission needs to be combined with the reality of China; and the empirical research on real estate financial risk needs to be improved.
 
</p></abstract><kwd-group><kwd>Real Estate Finance</kwd><kwd> Real Estate Financial Risk</kwd><kwd> Literature Review</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>As a capital-intensive industry, the real estate industry has a strong dependence on finance. Real estate finance linked to real estate refers to the general term for investment, financing and related financial services through currency circulation and credit channels in the process of real estate development, construction, operation, circulation and consumption. While supporting the development of the real estate industry, real estate finance realizes and strengthens financial functions through the special carrier of real estate, which forms the main source of financial risks.</p><p>At present, China has initially formed a real estate financial system that is based on commercial banks and serves real estate development and housing consumption. The real estate finance industry has also played a positive role in supporting urban residents to purchase houses, boosting housing vestment, expanding domestic demand, and promoting the development of the national economy. However, in the rapid development of real estate finance, a series of problems such as imperfect market, single financing channel and weak product innovation ability are also exposed. On the one hand, the rental income is higher than the bank deposit rate and the personal housing loan rate. On the other hand, the house price continues to rise rapidly, and the index keeps rising. In the case of other investment channels are blocked, a large amount of social funds have turned to home purchases for the purpose of maintaining and increasing value, which has further aggravated real estate financial risks.</p><p>At the same time, due to the impact of the real estate industry on the overall national economy, the real estate market contains huge financial risks, which will also threaten the security of the entire financial system and even affect the stability of the macro economy. Therefore, strengthening the research on real estate financial risk has important theoretical and practical significance.</p><p>Domestic scholars began to study the real estate financial risk from the land rent theory, and then the scholars studied the relationship between real estate and financial systems and macroeconomics from the macro and micro levels. This paper first introduces the concept and classification of real estate financial risk, and then mainly summarizes the research on the relationship between real estate price fluctuation and financial risk, real estate bubble, the formation and transmission of real estate financial risk, and the control of real estate financial risk.</p></sec><sec id="s2"><title>2. The Concept and Classification of Real Estate Financial Risk</title><p>Real estate financial risk refers to the possibility of economic losses caused by the bank’s actual income and expected income due to various uncertain factors when the bank provides financing, financing, liquidation and other financial service activities for the real estate industry [<xref ref-type="bibr" rid="scirp.91919-ref1">1</xref>].</p><p>Real estate financial risks include not only individual business, the risks faced by individual financial institutions, but also the risks of the entire real estate financial system. The real estate industry itself is a high-input, high-profit industry. It is inherently high-risk. After the financial industry is involved in the real estate industry, if it is over-supported, it will be more likely to cause credit expansion and thus induce a crisis.</p><p>Due to the division of service content, real estate finance is mainly based on real estate finance and financial services. Therefore, real estate financial risks can be divided into the following types:</p><p>・ Credit risk: The risk that the borrower (real estate development enterprise or residential consumer) is unable to repay or is unwilling to repay, resulting in the real estate loan principal and interest can not be recovered on time or even recoverable.</p><p>・ Liquidity risk: It is due to the lack of sufficient cash in the financial institutions and other assets that can be converted into cash at any time, so that it is unable to pay off the debts due and meet the risk of customers withdrawing deposits.</p><p>・ Asset and liability structure risk: Since the asset structure of real estate financing is usually based on medium and long-term loans, if the financial sector’s liability structure is dominated by demand deposits, liquidity risk may be formed.</p><p>・ Asset quality risk: If there are more loans with poor quality (not overdue, insolvent, unrecoverable, etc.), the lending bank will face the risk of poor efficiency.</p><p>・ Interest rate risk: If the deposit interest rate rises, or the loan interest rate declines, or the deposit and loan interest rate changes in the same direction but the interest rate difference shrinks, it may bring risks in operating efficiency.</p><p>・ Inflation risk: Since the nominal interest rate minus the inflation rate is the actual interest rate, inflation will cause the real interest rate to fall when the nominal interest rate is constant, which puts the bank at risk.</p><p>・ Exchange rate risk: If the foreign exchange appreciation value depreciates against the foreign currency, the debt burden of foreign currency denomination will increase. Therefore, when real estate finance borrows foreign debt or introduces foreign exchange, it will also face foreign exchange risk.</p><p>・ Other risks: There are other risks in real estate finance, such as the risk of declining economic benefits or even loss due to poor management, the operational risks caused by other mistakes in business operations, and the lack of comprehensive attention to legal provisions in the business process leading to legal risks and national policies. Risk of change, risk in real estate fund transfer settlement, risk in real estate insurance, risk in real estate trust, etc.</p></sec><sec id="s3"><title>3. Research on the Relationship between the Real Estate Price Fluctuation and Financial Risk</title><p>Domestic scholars have done a lot of research on financial risks, including the causes, the measurement and the industries of financial risks. For example, Luo Fang constructed a dynamic game model between banks and enterprises to study the liquidity risk and credit risk faced by commercial banks [<xref ref-type="bibr" rid="scirp.91919-ref2">2</xref>] ; Chen Jun and Wang Min used the evaluation model to measure the stability of the financial system [<xref ref-type="bibr" rid="scirp.91919-ref3">3</xref>] ; Huang Jiajun and Jiang Hai believes that financial agglomeration and lack of information are the main factors for the formation of financial risks [<xref ref-type="bibr" rid="scirp.91919-ref4">4</xref>]. Financial agglomeration increases the asymmetric information and incomplete information, and increases the risk of financial markets. Zhang Lichao et al. assess the default risk of the industry and build the risk-warning mechanism [<xref ref-type="bibr" rid="scirp.91919-ref5">5</xref>] ; Li Youhuan studied the financial risks caused by overseas hot money based on the impact of overseas hot money on the real exchange rate fluctuation of the RMB, the effectiveness of monetary policy, and the real estate market [<xref ref-type="bibr" rid="scirp.91919-ref6">6</xref>] ; Li Yang et al. analyzed China’s sovereign balance sheets, studied the sovereign debt risk of China [<xref ref-type="bibr" rid="scirp.91919-ref7">7</xref>] ; Li Youhuan pointed out that China’s housing prices and rents showed a consistent upward trend, high housing prices and high rents amplified financial risks, mainly reflected in the risks of residents and real estate developers [<xref ref-type="bibr" rid="scirp.91919-ref8">8</xref>].</p><p>Financial risks may evolve into financial crises, in which asset price volatility plays an important role. Zhang Zhiying believes that when long-term accumulation of financial risks has not been resolved, financial risks will be transmitted to related parties, including transmission between financial institutions and financial markets [<xref ref-type="bibr" rid="scirp.91919-ref9">9</xref>]. Gong Xiaolin and Yang Shuzhen combined with China’s macro financial data from 2000 to 2008, using the undecided equity analysis method to explain the evolution mechanism of macro financial risks. During the economic growth period, the value of various assets rose steadily, and when the economy was impacted by risks, assets the value usually falls sharply [<xref ref-type="bibr" rid="scirp.91919-ref10">10</xref>]. Li Youhuan believes that there are obvious financial risks in China, such as the weakness of the real economy, the emergence of real estate bubbles, and the high risk of local government debt. The improper handling will lead to “structural financial crisis” or “local financial crisis” [<xref ref-type="bibr" rid="scirp.91919-ref11">11</xref>]. Zhang Huayong pointed out that with the increasing linkage between financial markets, the transmission and destructiveness of financial risks are also increasing, which may lead to regional financial crisis, and the chain reaction of financial crisis has intensified the large-scale infection of financial risks. It has caused negative effects such as financial market turmoil, monetary devaluation, and shrinking of residents’ wealth [<xref ref-type="bibr" rid="scirp.91919-ref12">12</xref>].</p><p>When real estate financial risks were generated and accumulating, time bombs were buried for the financial crisis. Xie Jingrong et al. found that among the 16 more serious financial crises that occurred worldwide since 1980, 12 of them had different levels of real estate bubbles [<xref ref-type="bibr" rid="scirp.91919-ref13">13</xref>]. Wu Kangping believes that the real estate market and the financial market are mutually symbiotic in the economic operation, and the two markets are important carriers of risk accumulation, which easily encourages the mutual accumulation of risks. Once the risks are excessively expanded and impacted, the real estate market will be led. Crashes and even financial crises [<xref ref-type="bibr" rid="scirp.91919-ref14">14</xref>]. Zhou Jingkui believes that excessive financial support leads to the emergence and expansion of the real estate bubble, and the bursting of real estate bubble will have a chain reaction, triggering a financial systemic crisis [<xref ref-type="bibr" rid="scirp.91919-ref15">15</xref>]. Ruan Jia and Liu Yanping pointed out that the rapid rise in housing prices masks a large number of credit risks. The sharp decline in housing prices has ignited credit risks, leading to a break in the capital chain of real estate developers and an increase in the default rate of mortgage loans, which ultimately impacted the entire financial system [<xref ref-type="bibr" rid="scirp.91919-ref16">16</xref>]. Chen Xuechu et al. studied the spatial distribution of housing prices in 34 major cities in China from 2003 to 2007. It was found that under the pressure of rising housing prices in core cities, housing prices in surrounding cities may be pushed up, triggering a global real estate bubble, and the systemic financial risks of the real estate industry will follow [<xref ref-type="bibr" rid="scirp.91919-ref17">17</xref>].</p></sec><sec id="s4"><title>4. Research on Real Estate Bubble</title><p>In recent years, as China’s real estate market continues to heat up, a large number of literatures on real estate bubbles have emerged [<xref ref-type="bibr" rid="scirp.91919-ref18">18</xref>]. Some scholars try to find a scientific method to measure the rational bubble and irrational bubble of real estate. More scholars tend to use the indicator method or construct an early warning indicator system to judge whether there is a real estate bubble in China.</p><p>Domestic scholars mainly have the following three viewpoints: The first one is the bubble theory. There have been local and regional real estate bubbles in China [<xref ref-type="bibr" rid="scirp.91919-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.91919-ref20">20</xref>] ; the second is non-bubble theory. There is an imbalance between supply and demand in some areas of China’s real estate market, but this is not entirely the performance of the real estate bubble [<xref ref-type="bibr" rid="scirp.91919-ref21">21</xref>] ; the third is the bubble inequality. There is bound to be a real estate bubble in China. The key is to pay attention to the extent of the existence of the bubble and the extent of its impact on the financial economy [<xref ref-type="bibr" rid="scirp.91919-ref22">22</xref>].</p><p>Regarding the cause of the real estate bubble, He Xiaoxing and Zhao Hua believe that the underdeveloped land market, the excessive dependence of local governments on real estate, the large amount of credit investment by banks on real estate, and financial liberalization are the main causes of China’s real estate bubble [<xref ref-type="bibr" rid="scirp.91919-ref23">23</xref>]. Ge Yang and Yan Xiaoyan analyzed the real estate bubble mechanism. The real estate market situation is the long-term factor of the real estate bubble. The financial policy and tax policy promote the generation of real estate bubble, and the market expectation changes lead to the expansion of the real estate bubble [<xref ref-type="bibr" rid="scirp.91919-ref24">24</xref>]. Li Wenhu studies the real estate bubble based on the perspective of virtual economy, and believes that real estate is virtual, and the non-equilibrium, symbiosis and inductivity of the virtual economy have led to the emergence of real estate bubbles [<xref ref-type="bibr" rid="scirp.91919-ref25">25</xref>]. Chen Xuechu et al. pointed out that China’s urban housing prices are seriously divided at two levels. High-price cities and low-price cities coexist. High-price cities may trigger real estate bubbles in low-price cities through housing price correlation and risk transmission effects [<xref ref-type="bibr" rid="scirp.91919-ref17">17</xref>].</p><p>In response to the real estate bubble in Japan in the 1980s, many domestic scholars studied the background and reasons for its occurrence. Zhou Jian believes that the main reason for the Japanese bubble economy is that the Japanese government over-trusts the “yen appreciation of the yen” and the drawbacks of the financial system, leading to financial out of control [<xref ref-type="bibr" rid="scirp.91919-ref26">26</xref>]. Lu Peng believes that the Japanese bubble economy has historical inevitability, and the wrong macroeconomic policy is the key factor for the emergence and breaking of the bubble economy [<xref ref-type="bibr" rid="scirp.91919-ref27">27</xref>]. Feng Weijiang and He Fan attributed the bursting of the Japanese real estate bubble to the mismatch between the financial system and the corporate system caused by the failure of the economic system reform, and the mistakes brought by the game of government power [<xref ref-type="bibr" rid="scirp.91919-ref28">28</xref>]. Zhang Ruoxue mentioned that Japan had basically completed industrialization and urbanization in the 1970s, and accelerated the expansion of the real estate bubble under the influence of financial liberalization and the Bank of Japan’s wrong policy [<xref ref-type="bibr" rid="scirp.91919-ref29">29</xref>].</p></sec><sec id="s5"><title>5. Research on the Formation of Real Estate Financial Risk</title><p>Domestic literature on the formation of real estate financial risks mostly explores the accumulation of real estate financial risks in China from the perspective of economic entities such as banks, local governments, investors, and buyers. Li Lanying and Li Wei pointed out that the formation mechanism of real estate financial risk lies in the information asymmetry of real estate developers and banks, the failure of government regulation, the uneven development of the real estate market, and excessive speculation in the market [<xref ref-type="bibr" rid="scirp.91919-ref30">30</xref>]. <xref ref-type="fig" rid="fig1">Figure 1</xref> shows the relationship between capital flows and individual participants.</p><p>In the bank-led real estate economy, banks provide a large amount of funds for the real estate industry, which plays a key role in the formation of real estate financial risks. Li Jianfei and Shi Chenyu verified the inevitable connection between real estate price volatility and bank credit growth through empirical research, which effectively explained the overheating of real estate in China in recent years [<xref ref-type="bibr" rid="scirp.91919-ref31">31</xref>]. Li Rui believes that China’s real estate financing channels are single and highly dependent on indirect financing of banks, which makes real estate loans imply a large credit risk, while bank financial innovation guides the real estate mortgage loan securitization, further aggravating real estate financial risks [<xref ref-type="bibr" rid="scirp.91919-ref32">32</xref>]. Zheng Yi explored the process of real estate mortgage loan securitization from the aspects of demand, risk and credit of securitization products, and simulated the relevant institutional arrangements, and found that real estate mortgage loan securitization hides the inherent risks [<xref ref-type="bibr" rid="scirp.91919-ref33">33</xref>]. Ge Hongling analyzes the innovation of China’s real estate investment and financing model, especially the mode selection and risk characteristics of real estate investment trusts [<xref ref-type="bibr" rid="scirp.91919-ref34">34</xref>] (<xref ref-type="fig" rid="fig2">Figure 2</xref>, <xref ref-type="fig" rid="fig3">Figure 3</xref> and <xref ref-type="table" rid="table1">Table 1</xref>).</p><p>Real estate is a key area of government macro-control, and improper government macro policies or lack of financial supervision play a role in fueling real estate financial risks. Yi Xianrong believes that China’s real estate is manipulated by the government and does not achieve complete market-oriented operation. Real estate that does not achieve real market operation will certainly have a bubble [<xref ref-type="bibr" rid="scirp.91919-ref19">19</xref>]. Song Bo and Gao Bo studied the impact of government interest rate policy on housing prices. In the short term, the central bank deposit reserve ratio and the actual loan interest rate have a negative effect on housing prices. In the long run, the actual deposit interest rate has a negative effect on housing prices. House prices have a positive effect [<xref ref-type="bibr" rid="scirp.91919-ref35">35</xref>]. Deng Fumin and Wang Gang established</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> China’s real estate development fund source breakdown between 2008 and 2018 (BN Yuan RMB)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Year</th><th align="center" valign="middle" >Domestic loans for real estate development funds</th><th align="center" valign="middle" >Foreign funds</th><th align="center" valign="middle" >Self Raised funds</th><th align="center" valign="middle" >From Other Sources</th><th align="center" valign="middle" >Total funds</th></tr></thead><tr><td align="center" valign="middle" >2008</td><td align="center" valign="middle" >7256.55</td><td align="center" valign="middle" >726.33</td><td align="center" valign="middle" >15,081.27</td><td align="center" valign="middle" >15,081.88</td><td align="center" valign="middle" >38,146.03</td></tr><tr><td align="center" valign="middle" >2009</td><td align="center" valign="middle" >11,292.69</td><td align="center" valign="middle" >469.73</td><td align="center" valign="middle" >17,905.99</td><td align="center" valign="middle" >27,459.22</td><td align="center" valign="middle" >57,127.63</td></tr><tr><td align="center" valign="middle" >2010</td><td align="center" valign="middle" >12,540.48</td><td align="center" valign="middle" >795.56</td><td align="center" valign="middle" >26,704.58</td><td align="center" valign="middle" >32,453.72</td><td align="center" valign="middle" >72,494.34</td></tr><tr><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >12,563.79</td><td align="center" valign="middle" >813.63</td><td align="center" valign="middle" >34,093.4</td><td align="center" valign="middle" >35,775.12</td><td align="center" valign="middle" >83,245.94</td></tr><tr><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >14,778.39</td><td align="center" valign="middle" >402.09</td><td align="center" valign="middle" >39,082.68</td><td align="center" valign="middle" >42,274.52</td><td align="center" valign="middle" >96,537.67</td></tr><tr><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >19,672.66</td><td align="center" valign="middle" >534.17</td><td align="center" valign="middle" >47,424.95</td><td align="center" valign="middle" >54,490.7</td><td align="center" valign="middle" >122,122.47</td></tr><tr><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >21,242.61</td><td align="center" valign="middle" >639.26</td><td align="center" valign="middle" >50,419.8</td><td align="center" valign="middle" >49,689.81</td><td align="center" valign="middle" >121,991.48</td></tr><tr><td align="center" valign="middle" >2015</td><td align="center" valign="middle" >20,214.38</td><td align="center" valign="middle" >296.53</td><td align="center" valign="middle" >49,037.56</td><td align="center" valign="middle" >55,654.6</td><td align="center" valign="middle" >125,203.06</td></tr><tr><td align="center" valign="middle" >2016</td><td align="center" valign="middle" >21,512.4</td><td align="center" valign="middle" >140.44</td><td align="center" valign="middle" >49,132.85</td><td align="center" valign="middle" >73,428.37</td><td align="center" valign="middle" >144,214.05</td></tr><tr><td align="center" valign="middle" >2017</td><td align="center" valign="middle" >25,241.76</td><td align="center" valign="middle" >168.19</td><td align="center" valign="middle" >50,872.22</td><td align="center" valign="middle" >79,770.46</td><td align="center" valign="middle" >156,052.62</td></tr><tr><td align="center" valign="middle" >2018</td><td align="center" valign="middle" >24,004.52</td><td align="center" valign="middle" >107.98</td><td align="center" valign="middle" >55,830.65</td><td align="center" valign="middle" >6895.68</td><td align="center" valign="middle" >165,962.89</td></tr></tbody></table></table-wrap><p>a multivariate VAR model to study the impact of government monetary policy on the real estate market. In the long run, monetary policy will significantly affect housing prices and real estate investment [<xref ref-type="bibr" rid="scirp.91919-ref36">36</xref>]. Wang Liping based on the housing price data of 30 inter-provincial regions in China from 2000 to 2009, using the extreme boundary method to analyze the influencing factors of real estate price “stability”, found that local government is the main force pushing up housing prices [<xref ref-type="bibr" rid="scirp.91919-ref37">37</xref>]. Xu Jing investigated the decoupling of housing price rise and economic growth in 35 large and medium-sized cities in China from 2001 to 2010. It was found that economic growth will drive the rise of housing prices, while the lagging real estate regulation caused abnormal fluctuations in housing prices [<xref ref-type="bibr" rid="scirp.91919-ref38">38</xref>].</p><p>From the perspective of real estate cyclical perspective, real estate price volatility, housing prices have risen and fallen in a real estate cycle, housing price reversal may lead to systemic risks. He Guozhao et al. believe that an important reason for China’s real estate risk is the cyclical fluctuation of the real estate market, while the cyclical fluctuations are related to policies and investment. The real estate regulation and control policies have obvious cyclicality, the expansion of real estate regulation and control, and the tightening of policies. The period of real estate fluctuations is basically the same [<xref ref-type="bibr" rid="scirp.91919-ref39">39</xref>]. Liu Xuecheng believes that under the strong influence of external factors such as institutional policies, China has experienced short-term fluctuations in real estate, implying certain risks [<xref ref-type="bibr" rid="scirp.91919-ref40">40</xref>]. Liang Yunfang and Gao Tiemei pointed out that the price, output, investment and consumption of the real estate market affect the economic development level of a region, and the development level of the region determines the development of the real estate market. Therefore, the fluctuation of the real estate cycle also has a distinct regional nature [<xref ref-type="bibr" rid="scirp.91919-ref41">41</xref>].</p><p>The formation of real estate financial risks is also affected by other factors. For example, Xie Jingrong et al. believe that China’s current real estate bubble is not national and regional, and regional land speculation directly leads to the formation of a real estate bubble [<xref ref-type="bibr" rid="scirp.91919-ref13">13</xref>]. Xu Jianbin and Lin Guanbiao analyze the micro-mechanism of real estate credit risk formation from the perspective of information economics. The information asymmetry between real estate developers and banks is the cause of risk [<xref ref-type="bibr" rid="scirp.91919-ref42">42</xref>]. Chen Hongbo and Wang Zhen pointed out that the financial supervision and regulation mechanism of China’s real estate market is still not perfect, and relevant laws and regulations are relatively lacking. For example, the real estate mortgage system is imperfect, which can not effectively suppress real estate financial risks [<xref ref-type="bibr" rid="scirp.91919-ref43">43</xref>]. Shen Jianguang pointed out that the enthusiasm of land speculation in Japan in the 1980s boosted the formation of the real estate bubble [<xref ref-type="bibr" rid="scirp.91919-ref44">44</xref>]. Jia Shenghua and Li Hang introduced the noise trading model. Through the mathematical derivation of the model, the noise trader’s expectation and expected deviation mean and proportion were found, and the trader risk was the main factor in the formation of real estate bubble, determined the extent of the real estate bubble [<xref ref-type="bibr" rid="scirp.91919-ref45">45</xref>].</p></sec><sec id="s6"><title>6. Research on the Transmission of Real Estate Finance Risk</title><p>When domestic scholars study the real estate financial risk transmission in China, they find that the real estate financial risk will be transmitted to the banking system, macroeconomic system, land finance field and other actors through a certain transmission mechanism. The transmission path is mainly concentrated in the banking system. Among them, Wang wei’an and He Cong believe that with the continuous development of cross-regional investment in real estate enterprises, the regional risks of overheated real estate investment will spread to other regions, especially in less developed regions. Diffusion [<xref ref-type="bibr" rid="scirp.91919-ref46">46</xref>] ; Zhou Hui and Wang Qing believe that real estate will influence investment through the “Tobin q effect”, affect consumption through the wealth effect, and influence output through the industrial chain transmission mechanism [<xref ref-type="bibr" rid="scirp.91919-ref47">47</xref>].</p><p>Banks in China provide a large amount of funds for real estate developers. There is a complex credit and debt relationship between them. Real estate financial risks may first impact the banking system. Wu Kangping and Pi Wei believe that the cyclical fluctuation of real estate is closely related to the stability of banks. The fluctuation of housing prices directly affects the security of bank funds, and banks may shrink the scale of credit for real estate at any time [<xref ref-type="bibr" rid="scirp.91919-ref14">14</xref>]. Fan Xiaoyun et al. used the matrix method to analyze the risk-infective characteristics of China’s inter-bank market. The degree of influence of inter-bank risk contagion mainly depends on the types of incentives, the changes in losses and the links between banks [<xref ref-type="bibr" rid="scirp.91919-ref48">48</xref>]. Chen Hongbo and Wang Zhen analyzed the impact of financial risks brought by the real estate industry on the stability of banks based on the characteristics of real estate loans. The research found that the related risks are concentrated in the credit loans of real estate developers [<xref ref-type="bibr" rid="scirp.91919-ref43">43</xref>]. Zhang Xiaojing and Sun Tao believe that the form of real estate finance is single, and most of the funds needed for the real estate industry come from banks, making the real estate market risk easily convert into bank credit risk [<xref ref-type="bibr" rid="scirp.91919-ref49">49</xref>].</p><p>Real estate financial risks will impact the macroeconomic system, including investment, consumption, interest rates, and inflation. Duan Zhongdong pointed out that house prices affect the price level through total social demand, real estate price volatility has a significant relationship with inflation and output, and the long-term impact of real estate price volatility on inflation and output is more significant [<xref ref-type="bibr" rid="scirp.91919-ref50">50</xref>]. Tang Zhijun et al. (2010) found through VAR regression analysis that house price fluctuations significantly affect the total retail sales of social consumer goods. The fluctuation of house price fluctuations on the variance of consumption fluctuations is greater than 2.5%, and the increase in house prices tends to reduce social consumption [<xref ref-type="bibr" rid="scirp.91919-ref51">51</xref>]. When Yang Junjie studied the mechanism of real estate price volatility on the macro-economy, he found that the rise in housing prices caused consumption reduction and investment growth in the short-term, and quickly boosted GDP growth, but the pulling effect did not last, and from the global financial crisis and the current economic situation in China. The dilemma can also be seen that the real estate bubble will have a negative effect on a country’s macro economy [<xref ref-type="bibr" rid="scirp.91919-ref52">52</xref>]. Zhang Hong and Li Yang pointed out that the impact of housing prices has a pulling effect on the regional economy in the short term, but it has a crowding effect in the long run, and the impact on the eastern region is stronger than that in the central and western regions [<xref ref-type="bibr" rid="scirp.91919-ref53">53</xref>].</p><p>When discussing the real estate financial risk transmission in China, some scholars found that the financial risk of real estate will impact the land finance field. When Wei Runqing studied the impact mechanism of real estate, it found that real estate price fluctuations significantly affected the local government’s fiscal revenue, and land transfer fees as an important source of local government fiscal revenue, with greater flexibility [<xref ref-type="bibr" rid="scirp.91919-ref54">54</xref>]. Li Lanying and Li Wei pointed out that the prosperity of the real estate market directly promotes the expansion of local government “land finance”, and the financial risks faced by the real estate market may cause continuous pressure on local finances and trigger local debt risks [<xref ref-type="bibr" rid="scirp.91919-ref30">30</xref>].</p><p>In addition, the financial network has attracted a great deal of attention in recent years since it reveals the mechanism of the formation of systemic risk via interbank linkages in a clear and straightforward manner. Studies have demonstrated that the financial network accelerates risk contagion, promotes cascade defaults and causes systemic risk in crisis periods. Earlier studies, such as those of Rochet &amp; Tirole [<xref ref-type="bibr" rid="scirp.91919-ref55">55</xref>], Kiyotaki &amp; Moore [<xref ref-type="bibr" rid="scirp.91919-ref56">56</xref>], Allen &amp; Gale [<xref ref-type="bibr" rid="scirp.91919-ref57">57</xref>], and Leitner [<xref ref-type="bibr" rid="scirp.91919-ref58">58</xref>], have indicated that the financial network, which has been considered as a risk-sharing mechanism in normal times, boosts risk transmission in crisis periods. Notably, Eisenberg &amp; Noe proposed a model that can measure direct and indirect risk contributions from the default bank to other banks in the system [<xref ref-type="bibr" rid="scirp.91919-ref59">59</xref>]. Glasserman &amp; Young estimated how much of the loss is attributed to the interbank linkages by comparing two different financial systems, where one is a connected system, and the alternative has no interbank borrowing. Their results documented that the financial network is the root of risk contagion [<xref ref-type="bibr" rid="scirp.91919-ref60">60</xref>]. In line with Glasserman &amp; Young, Acemoglu et al. showed that financial networks exacerbate risk contagion when the magnitude of the initial shock exceeds a certain critical value [<xref ref-type="bibr" rid="scirp.91919-ref61">61</xref>]. Battiston et al. confirmed that the financial network is also more sensitive to extreme shock [<xref ref-type="bibr" rid="scirp.91919-ref62">62</xref>]. Related empirical evidence can also be found in, e.g., Martinez-Jaramillo et al. [<xref ref-type="bibr" rid="scirp.91919-ref63">63</xref>], Paltalidis et al. [<xref ref-type="bibr" rid="scirp.91919-ref64">64</xref>], and Affinito and Pozzolo [<xref ref-type="bibr" rid="scirp.91919-ref65">65</xref>].</p></sec><sec id="s7"><title>7. Research on the Control of Real Estate Financial Risk</title><p>In order to effectively curb the real estate financial risk, domestic scholars mainly put forward suggestions from the perspective of government regulation, similar to foreign research. Zhang Yuming stressed that to carry out the total regulation and structural regulation of the real estate market, it is necessary to focus on the regional real estate market, and the way of regulation should start from the demand [<xref ref-type="bibr" rid="scirp.91919-ref66">66</xref>]. An Peng et al. established a set of real estate bubble forecasting system that can be used for macro-control early warning based on the analytic hierarchy process, which provides a basis for the government to control the real estate bubble [<xref ref-type="bibr" rid="scirp.91919-ref67">67</xref>]. Dai Guoqiang and Zhang Jianhua elaborated on the important role of monetary policy in real estate transmission channels. It is suggested that the government accelerate the construction of real estate price transmission channels to ensure the orderly and efficient transmission of China’s monetary policy [<xref ref-type="bibr" rid="scirp.91919-ref68">68</xref>]. Xu Jing believes that the effect of real estate regulation and control cannot be evaluated simply by the rise and fall of short-term indicators. Instead, comprehensive consideration should be given to the phased changes of various indicators. At the same time, the timeliness of policies should be fully considered when formulating real estate control policies, and the effect evaluation of policy implementation should be strengthened [<xref ref-type="bibr" rid="scirp.91919-ref38">38</xref>].</p><p>As far as specific control measures are concerned, it is possible to establish an early warning mechanism for the financial system, carry out countercyclical regulation, and build a real estate market mechanism. Yi Xianrong believes that in order to establish an early warning indicator system for real estate price imbalance, the government should take comprehensive measures from housing policy, tax policy, land policy, etc., and financial institutions should also improve their risk prediction capabilities [<xref ref-type="bibr" rid="scirp.91919-ref19">19</xref>]. Duan Junshan found that there is a strong positive correlation between house prices and money supply. The government can curb the excessive rise in house prices by controlling the scale of real estate credit and minimize the negative impact of monetary policy [<xref ref-type="bibr" rid="scirp.91919-ref69">69</xref>]. Cai Mingchao et al. constructed the utility function of residents based on housing consumption, housing investment, other consumption and financial investment, and analyzed the response of macro-control policies. The research results for the government to carry out real estate counter-cyclical Regulation provides theoretical support [<xref ref-type="bibr" rid="scirp.91919-ref70">70</xref>].</p></sec><sec id="s8"><title>8. Literature Summary and Review</title><p>Based on the existing literature research, scholars have studied the multi-angle, multi-modal financial risks, real estate bubbles, real estate financial risk formation and transmission, and revealed the state of real estate financial risks from the generation, expansion and outbreak. On the whole, the current academic research on financial risk, real estate bubble, real estate financial risk formation is relatively complete, but there are some shortcomings in the research on real estate financial risk. For example, the research on real estate financial risk evolution is still scattered, and further research is needed.</p><p>1) The research on the connotation of real estate financial risk needs to be improved</p><p>From the perspective of real estate, the literature on financial risk references is mostly concerned with the risks of real estate financial markets, while the research on financial risks in the real estate market is less. Especially for China, real estate risk interacts with financial risks. The risk of real estate financial market is only a part of real estate financial risk, which cannot fully reveal real estate financial risk. In addition, domestic and foreign scholars generally include real estate financial risks into the real estate bubble and financial crisis categories, and there are not many studies on real estate financial risks.</p><p>2) The study of the real estate bubble needs to be quantified</p><p>Scholars at home and abroad generally believe that the real estate bubble is the root of financial risks, and many countries have a certain degree of real estate bubble. Scholars’ research on real estate bubble is rich and perfect, especially the cause and mechanism of real estate bubble. It has carried out a lot of theoretical and empirical research, and also explains some typical real estate bubble phenomenon. However, the research on real estate bubbles at home and abroad is mostly qualitative research, and there are few quantitative studies. Most documents do not quantify the size of the real estate bubble, but only verify the existence of financial risks through the real estate bubble. At the same time, the research on the process of real estate bubble affecting financial stability is not deep enough, and it is basically in the stage of simple discussion.</p><p>3) Research on the formation of real estate financial risks needs to be deepened</p><p>Foreign scholars mainly discuss the formation of real estate financial risks from the aspects of market information asymmetry, bank fragility and financial liberalization. Chinese scholars also analyze the influencing factors such as housing system and land finance in China. However, the research on the formation of real estate financial risk by domestic and foreign scholars is based on the theoretical level and less on the factual level. Most scholars study the formation of real estate financial risk under a framework system, and use one or several economic theories to analyze real estate credit risk, government policy risk, etc., and systematically expound the real estate financial risk formation mechanism.</p><p>4) Research on real estate financial risk transmission needs to be expanded</p><p>For a long time, scholars at home and abroad have been biased towards the study of real estate financial risks under the banking-led financial system. The research on real estate financial risk transmission has focused on the impact of the banking system and less attention to other transmission paths. At the same time, most of the literature analyzes the transmission of real estate financial risks through complex models, and there are few studies on specific conduction paths. For China’s specific national conditions, China’s real estate financial risk is different from the foreign market based on the transmission mechanism of the financial system. The model for studying the risk transmission at home and abroad needs to be further revised.</p><p>5) Empirical research on real estate financial risks needs to be improved</p><p>Most foreign scholars use the United States, Japan, and the United Kingdom as research objects to conduct empirical research on the relationship between real estate price volatility and financial risk, and conclude that financial credit over-supporting to push up housing prices, or the real estate bubble triggered a financial crisis. Chinese scholars also follow the foreign research ideas. However, China’s real estate market started late, and the data on real estate financial risks are still incomplete, leading to imperfect domestic empirical research.</p></sec><sec id="s9"><title>Conflicts of Interest</title><p>The author declares no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s10"><title>Cite this paper</title><p>Miao, Y.M. (2019) Literature Review of the Research on Real Estate Financial Risk. Open Journal of Business and Management, 7, 876-891. https://doi.org/10.4236/ojbm.2019.72060</p></sec></body><back><ref-list><title>References</title><ref id="scirp.91919-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Zhou, Y.L. (2003) Monitoring and Prevention of Real Estate Financial Risks. China Finance, No. 7, 26-27.</mixed-citation></ref><ref id="scirp.91919-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Luo, F. (2009) Game Analysis of Financial Risk and Indirect Financing of Commercial Banks. Journal of Wuhan University of Technology, No. 12, 152-154.</mixed-citation></ref><ref id="scirp.91919-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Chen, J. and Wang, M. (2010) Empirical Analysis of Regional Financial Risk and Vulnerability Based on Balance Sheet. Shanghai Finance, No. 9, 45-49.</mixed-citation></ref><ref id="scirp.91919-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Huang, J. and Jiang, H. (2010) Analysis of Financial Agglomeration, Information Defects and Financial Risk Formation Mechanism. Southern Finance, No. 11, 31-35.</mixed-citation></ref><ref id="scirp.91919-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Zhang, L., Fang, J. and Gao, S. (2011) Research on the Construction of Industrial Risk Early Warning System Based on Industrial Competitive Intelligence. Information Theory &amp; Practice, 34, 69-73.</mixed-citation></ref><ref id="scirp.91919-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Li, Y.H. (2012) Strengthening the Monitoring of the Development of Private Finance. China Finance, No. 3, 76-78.</mixed-citation></ref><ref id="scirp.91919-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Li, Y. (2014) Introduction to China’s Sovereign Balance Sheet and Its Risk Assessment. China Merchants, No. 7, 78-89.</mixed-citation></ref><ref id="scirp.91919-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Li, Y.H. (2014) New Trends in Current Housing Rents. People’s Forum, No. 3, 46-48.</mixed-citation></ref><ref id="scirp.91919-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Zhang, Z. (2008) Research on the Path of Financial Risk Transmission. Enterprise Economy, No. 3, 144-146.</mixed-citation></ref><ref id="scirp.91919-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Gong, X.L. and Yang, S.Z. (2013) Quantitative Analysis of the Nonlinear Evolution Rate and Mechanism of Macro Financial Risks. Financial Research, No. 4, 99-111.</mixed-citation></ref><ref id="scirp.91919-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Li, Y.H. (2013) The Potential Risk of Domestic “Hot Money” Outflow. People’s Forum, No. 13, 50-51.</mixed-citation></ref><ref id="scirp.91919-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Zhang, H.Y. (2014) Research on the Internal Mechanism of Financial Market Linkage and Risk Contagion. Yunnan Social Sciences, No. 4, 81-84.</mixed-citation></ref><ref id="scirp.91919-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Xie, J.R. (2002) Real Estate Bubble and Financial Crisis. Economic Management Press, Beijing.</mixed-citation></ref><ref id="scirp.91919-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Wu, K.P., Pi, W. and Lu, G. (2004) A General Equilibrium Analysis of the Symbiosis between China’s Real Estate Market and Financial Market. Journal of Quantitative and Technical Economics, No. 10, 24-32.</mixed-citation></ref><ref id="scirp.91919-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Zhou, J. (2005) Information Asymmetry, Belief and Financial Support Excessiveness—A Game Theory Analysis of the Formation of Real Estate Bubble. Finance and Trade Economics, No. 8, 3-9.</mixed-citation></ref><ref id="scirp.91919-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Ruan, J. and Liu, Y.P. (2009) The Cause of the Subprime Mortgage Crisis and the Prevention of Real Estate Financial Risks. Management World, No. 5, 166-167.</mixed-citation></ref><ref id="scirp.91919-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Chen, X.C., Peng, J. and Wu, M.Y. (2012) Urban House Price Correlation and Systemic Financial Risk Prevention. Shanghai Finance, No. 8, 16-22.</mixed-citation></ref><ref id="scirp.91919-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Li, M. and Cao, Y. (2013) The Measurement and Cause Analysis of China’s Real Estate Market Bubble—Based on the Perspective of Behavioral Finance Theory. Macroeconomic Research, No. 9, 86-91.</mixed-citation></ref><ref id="scirp.91919-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Yi, X.R. (2005) China’s Real Estate Market Overheating and Risk Warning. Finance and Trade Economics, No. 5, 14-23.</mixed-citation></ref><ref id="scirp.91919-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Li, Y.G. (2014) Research on China’s Housing Price Bubble Measurement. Economic System Reform, No. 5, 111-114.</mixed-citation></ref><ref id="scirp.91919-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Du, M. and Liu, X.H. (2007) Expectation of RMB Appreciation and Changes in Real Estate Prices. World Economy, 30, 81-88.</mixed-citation></ref><ref id="scirp.91919-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Wu, J.L. (2008) Difficulties and Ways Out for China’s Economic Transformation. China Reform, No. 2, 67-68.</mixed-citation></ref><ref id="scirp.91919-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">He, X.X. and Zhao, H. (2006) A Comment on the Application of Chaos Theory to Financial Economics and Macroeconomics. Journal of Financial Research, No. 7.</mixed-citation></ref><ref id="scirp.91919-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Ge, Y. and Yan, X.Y. (2009) Review on the Mechanism and Impact of Real Estate Bubbles. Economics, No. 11, 125-130.</mixed-citation></ref><ref id="scirp.91919-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Li, W.H. (2010) Research on Real Estate Bubble Based on the Perspective of Virtual Economic Characteristics. SAR Economics, No. 11, 277-279.</mixed-citation></ref><ref id="scirp.91919-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Zhou, J. (2001) Rethinking the Japanese Bubble Economy. Economic Research Reference, No. 50, 15-29.</mixed-citation></ref><ref id="scirp.91919-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Lu, P. (2008) Reflections on Japan’s Bubble Economy from the Perspective of Industrial Upgrade. Modern Japan Economy, No. 4, 13-17.</mixed-citation></ref><ref id="scirp.91919-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Feng, W.J. and He, F. (2008) Political and Economic Interpretation of the Origin and Collapse of Japanese Stock Market and Real Estate Bubble. World Economy, 31, 3-12.</mixed-citation></ref><ref id="scirp.91919-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Zhang, R.X. (2010) Comparison of Real Estate Bubble International and Development of China’s Real Estate Industry. Finance and Economics, No. 12, 91-100.</mixed-citation></ref><ref id="scirp.91919-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Li, L.Y. and Li, W. (2012) Analysis of the Game Mechanism of Real Estate Financial Risk Transfer to Land Fiscal Risk in China. Modern Finance and Economics, No. 7, 59-69.</mixed-citation></ref><ref id="scirp.91919-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Li, J.F. and Shi, C.Y. (2005) The Impact of Bank Credit in China on Real Estate Price Volatility. Journal of Shanghai University of Finance and Economics, No. 2, 26-32.</mixed-citation></ref><ref id="scirp.91919-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Li, R. (2006) Research on Credit Risk Management of Real Estate Loan in China Commercial Bank. East China Normal University, Shanghai.</mixed-citation></ref><ref id="scirp.91919-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Zheng, Y. (2008) Real Estate Mortgage Securitization. China Social Press, Beijing.</mixed-citation></ref><ref id="scirp.91919-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Ge, H.L. (2009) Innovation of Real Estate Investment and Financing Model: Analysis Based on the Perspective of REITs. Intellectual Property Press, Beijing.</mixed-citation></ref><ref id="scirp.91919-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Song, B. and Gao, B. (2007) The Impact of International Capital Flow on Real Estate Price—Based on China’s Empirical Test (1998-2006). Studies in Finance and Economics, No. 3, 55-61.</mixed-citation></ref><ref id="scirp.91919-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Deng, F.M. and Wang, G. (2012) Empirical Analysis of the Impact of Monetary Policy on Real Estate Prices and Investment. Management World, No. 6, 177-179.</mixed-citation></ref><ref id="scirp.91919-ref37"><label>37</label><mixed-citation publication-type="other" xlink:type="simple">Wang, L.P. (2013) Empirical Study on the Factors Affecting the “Stableness” of Real Estate Price in China. Management World, No. 10, 184-185.</mixed-citation></ref><ref id="scirp.91919-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">Xu, J. (2013) Decoupling Analysis of Rising House Prices and Economic Growth. Management World, No. 9, 172-174.</mixed-citation></ref><ref id="scirp.91919-ref39"><label>39</label><mixed-citation publication-type="other" xlink:type="simple">He, G.Z., Cao, Z.L. and Li, W. (1996) Research on China’s Real Estate Cycle. Economic Research.</mixed-citation></ref><ref id="scirp.91919-ref40"><label>40</label><mixed-citation publication-type="other" xlink:type="simple">Liu, X.C. (2001) A Review of Foreign Real Estate Cycle Research. China Real Estate, No. 4, 9-12.</mixed-citation></ref><ref id="scirp.91919-ref41"><label>41</label><mixed-citation publication-type="other" xlink:type="simple">Liang, Y.F. and Gao, T.M. (2007) An Empirical Analysis of Regional Differences in China’s Real Estate Price Volatility. Economic Research, No. 8, 133-142.</mixed-citation></ref><ref id="scirp.91919-ref42"><label>42</label><mixed-citation publication-type="other" xlink:type="simple">Xu, J.B. and Lin, G.B. (2003) The Micro-Mechanism of Real Estate Credit Risk Formation. Zhejiang Finance, No. 7, 15-18.</mixed-citation></ref><ref id="scirp.91919-ref43"><label>43</label><mixed-citation publication-type="other" xlink:type="simple">Chen, H.B. and Wang, Z. (2006) China’s Real Estate Macro Finance Research. Finance and Trade Economics, No. 5, 11-16.</mixed-citation></ref><ref id="scirp.91919-ref44"><label>44</label><mixed-citation publication-type="other" xlink:type="simple">Shen, J.G. (2010) Will China Repeat the Mistakes of Japan’s Bubble Economy? Financial Development Review, No. 2, 27-40.</mixed-citation></ref><ref id="scirp.91919-ref45"><label>45</label><mixed-citation publication-type="other" xlink:type="simple">Jia, S.H. and Li, H. (2014) Noise Trader Expectation and Real Estate Bubble—An Empirical Study Based on 35 Large and Medium Cities. Audit and Economic Research, 29, 85-92.</mixed-citation></ref><ref id="scirp.91919-ref46"><label>46</label><mixed-citation publication-type="other" xlink:type="simple">Wang, W. and He, C. (2005) Real Estate Price and Inflation Expectation. Journal of Finance and Economics, 31, 64-76.</mixed-citation></ref><ref id="scirp.91919-ref47"><label>47</label><mixed-citation publication-type="other" xlink:type="simple">Zhou, H. and Wang, Q. (2009) Monetary Policy and Asset Price Fluctuation: Theoretical Model and Empirical Analysis of China. Economic Research, No. 10, 61-74.</mixed-citation></ref><ref id="scirp.91919-ref48"><label>48</label><mixed-citation publication-type="other" xlink:type="simple">Fan, X.Y. and Li, Z. (2005) The Value Creation Paradox of Banking M&amp;A and Reorganization: Empirical Interpretation and Its Enlightenment. International Finance Research, No. 1, 40-47.</mixed-citation></ref><ref id="scirp.91919-ref49"><label>49</label><mixed-citation publication-type="other" xlink:type="simple">Zhang, X.J. and Sun, T. (2006) China’s Real Estate Cycle and Financial Stability. Economic Research, No. 1, 23-33.</mixed-citation></ref><ref id="scirp.91919-ref50"><label>50</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Duan</surname><given-names> Z.D. </given-names></name>,<etal>et al</etal>. (<year>2007</year>)<article-title>The Relationship between Real Estate Price and Inflation and Output—A Theoretical Analysis and Empirical Test Based on Chinese Data</article-title><source> Quantitative Economics of Economics and Technology</source><volume> 24</volume>,<fpage> 127</fpage>-<lpage>139</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.91919-ref51"><label>51</label><mixed-citation publication-type="other" xlink:type="simple">Tang, Z.J., Xu, H.J. and Ba, S.S. (2010) Research on the Impact of China’s Real Estate Market Fluctuation on Macroeconomic Fluctuations. Statistical Research, 27, 15-22.</mixed-citation></ref><ref id="scirp.91919-ref52"><label>52</label><mixed-citation publication-type="other" xlink:type="simple">Yang, J.J. (2012) Research on the Micro-Action Mechanism of Real Estate Price Fluctuation on Macroeconomic Fluctuations. Economic Research.</mixed-citation></ref><ref id="scirp.91919-ref53"><label>53</label><mixed-citation publication-type="other" xlink:type="simple">Zhang, H. and Li, Y. (2013) Research on Regional Differences of Transmission Effect of Monetary Policy in Real Estate Market—An Empirical Analysis Based on GVAR Model. Financial Research, No. 2, 114-128.</mixed-citation></ref><ref id="scirp.91919-ref54"><label>54</label><mixed-citation publication-type="other" xlink:type="simple">Wei, R.Q. (2009) Research on the Sustainable and Healthy Development of China’s Real Estate Industry. East China Normal University, Shanghai.</mixed-citation></ref><ref id="scirp.91919-ref55"><label>55</label><mixed-citation publication-type="other" xlink:type="simple">Rochet, J.C. and Tirole, J. (1996) Interbank Lending and Systemic Risk. Money Credit Bank, 28, 733-762. https://doi.org/10.2307/2077918</mixed-citation></ref><ref id="scirp.91919-ref56"><label>56</label><mixed-citation publication-type="other" xlink:type="simple">Kiyotaki, N. and Moore, J. (1997) Credit Cycles. Journal of Political Economy, 105, 211-248. https://doi.org/10.1086/262072</mixed-citation></ref><ref id="scirp.91919-ref57"><label>57</label><mixed-citation publication-type="other" xlink:type="simple">Allen, F. and Gale, D. (2000) Financial Contagion. Journal of Political Economy, 108, 1-33. https://doi.org/10.1086/262109</mixed-citation></ref><ref id="scirp.91919-ref58"><label>58</label><mixed-citation publication-type="other" xlink:type="simple">Leitner, Y. (2005) Financial Networks: Contagion, Commitment, and Private Sector Bailouts. Journal of Finance, 60, 2925-2953.  
https://doi.org/10.1111/j.1540-6261.2005.00821.x</mixed-citation></ref><ref id="scirp.91919-ref59"><label>59</label><mixed-citation publication-type="other" xlink:type="simple">Eisenberg, L. and Noe, T.H. (2001) Systemic Risk in Financial Systems. Management Science, 47, 236-249. https://doi.org/10.1287/mnsc.47.2.236.9835</mixed-citation></ref><ref id="scirp.91919-ref60"><label>60</label><mixed-citation publication-type="other" xlink:type="simple">Glasserman, P. and Young, H.P. (2015) How Likely Is Contagion in Financial Networks. Journal of Banking &amp; Finance, 50, 383-399.  
https://doi.org/10.1016/j.jbankfin.2014.02.006</mixed-citation></ref><ref id="scirp.91919-ref61"><label>61</label><mixed-citation publication-type="other" xlink:type="simple">Acemoglu, B.D., Ozdaglar, A. and Tahbaz-Salehi, A. (2015) Systemic Risk and Stability in Financial Networks. American Economic Review, 105, 564-608.  
https://doi.org/10.1257/aer.20130456</mixed-citation></ref><ref id="scirp.91919-ref62"><label>62</label><mixed-citation publication-type="other" xlink:type="simple">Battiston, S., Puliga, M., Kaushik, R., Tasca, P. and Caldarelli, G. (2012) DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk. Scientific Reports, 2, 541-546. https://doi.org/10.1038/srep00541</mixed-citation></ref><ref id="scirp.91919-ref63"><label>63</label><mixed-citation publication-type="other" xlink:type="simple">Martinez-Jaramillo, S., Alexandrova-Kabadjova, B., Bravo-Benitez, B. and Solórzano-Margain, J.P. (2014) An Empirical Study of the Mexican Banking Systems Network and Its Implications for Systemic Risk. Journal of Economic Dynamics and Control, 40, 242-265. https://doi.org/10.1016/j.jedc.2014.01.009</mixed-citation></ref><ref id="scirp.91919-ref64"><label>64</label><mixed-citation publication-type="other" xlink:type="simple">Paltalidis, N., Gounopoulos, D., Kizys, R. and Koutelidakis, Y. (2015) Transmission Channels of Systemic Risk and Contagion in the European Financial Network. Journal of Banking &amp; Finance, 61, 36-52.  
https://doi.org/10.1016/j.jbankfin.2015.03.021</mixed-citation></ref><ref id="scirp.91919-ref65"><label>65</label><mixed-citation publication-type="other" xlink:type="simple">Affinito, M.A. and Pozzolo, F. (2017) The Interbank Network across the Global Financial Crisis: Evidence from Italy. Journal of Banking &amp; Finance, 80, 90-107.  
https://doi.org/10.1016/j.jbankfin.2017.03.019</mixed-citation></ref><ref id="scirp.91919-ref66"><label>66</label><mixed-citation publication-type="other" xlink:type="simple">Zhang, Y.M. (2003) Standing on the Objective Position to Comment on China’s Real Estate Market. China Real Estate, No. 6, 1.</mixed-citation></ref><ref id="scirp.91919-ref67"><label>67</label><mixed-citation publication-type="other" xlink:type="simple">An, P., Cai, M.C. and Gao, G.H. (2008) Analysis of the Measurement and Causes of China’s Real Estate Bubble—Taking Shanghai as an Example. Statistics and Decision, No. 20, 115-118.</mixed-citation></ref><ref id="scirp.91919-ref68"><label>68</label><mixed-citation publication-type="other" xlink:type="simple">Dai, G.Q. and Zhang, J.H. (2009) Research on the Relationship between Asset Price and Inflation in China—Analysis of Technology Based on ARDL. International Finance Research, No. 11, 19-28.</mixed-citation></ref><ref id="scirp.91919-ref69"><label>69</label><mixed-citation publication-type="other" xlink:type="simple">Duan, J.S. (2006) Monetary Policy and Asset Price Bubble Regulation: Taking China’s Real Estate Industry as an Example. Price Theory and Practice, No. 8, 56-57.</mixed-citation></ref><ref id="scirp.91919-ref70"><label>70</label><mixed-citation publication-type="other" xlink:type="simple">Cai, M.C., Huang, X.X. and Zhao, D.Y. (2011) Micro Analysis of the Performance of Countercyclical Macro-Control Policies in the Real Estate Market. Economic Research, No. S1, 80-89.</mixed-citation></ref></ref-list></back></article>