Evolution of the Chinese guarantee network under financial crisis and stimulus program

Our knowledge about the evolution of guarantee network in downturn period is limited due to the lack of comprehensive data of the whole credit system. Here we analyze the dynamic Chinese guarantee network constructed from a comprehensive bank loan dataset that accounts for nearly 80% total loans in China, during 01/2007-03/2012. The results show that, first, during the 2007-2008 global financial crisis, the guarantee network became smaller, less connected and more stable because of many bankruptcies; second, the stimulus program encouraged mutual guarantee behaviors, resulting in highly reciprocal and fragile network structure; third, the following monetary policy adjustment enhanced the resilience of the guarantee network by reducing mutual guarantees. Interestingly, our work reveals that the financial crisis made the network more resilient, and conversely, the government bailout degenerated network resilience. These counterintuitive findings can provide new insight into the resilience of real-world credit system under external shocks or rescues. The systemic risk of real-world financial networks is understudied. Here the authors focused on the guarantee network among Chinese firms and found that the global financial crisis during 2007-2008 and economic policies in the aftermath had significant influence on the evolution of guarantee network structure.

[1]  Anjan V. Thakor,et al.  The Financial Crisis of 2007–2009: Why Did It Happen and What Did We Learn? , 2015 .

[2]  M. Newman,et al.  Hierarchical structure and the prediction of missing links in networks , 2008, Nature.

[3]  L. Cong,et al.  Credit Allocation Under Economic Stimulus: Evidence from China , 2018, The Review of Financial Studies.

[4]  Matthias Scherer,et al.  Reconstructing the topology of financial networks from degree distributions and reciprocity , 2019, J. Multivar. Anal..

[5]  Garry Robins,et al.  An introduction to exponential random graph (p*) models for social networks , 2007, Soc. Networks.

[6]  Duncan J Watts,et al.  A simple model of global cascades on random networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[7]  R. May,et al.  Systemic risk in banking ecosystems , 2011, Nature.

[8]  Liqing Zhang,et al.  Visual Analytics for Networked-Guarantee Loans Risk Management , 2017, 2018 IEEE Pacific Visualization Symposium (PacificVis).

[9]  A. Thakor Why Did It Happen And What Did We Learn , 2015 .

[10]  James A. Ohlson FINANCIAL RATIOS AND THE PROBABILISTIC PREDICTION OF BANKRUPTCY , 1980 .

[11]  G. Fagiolo,et al.  Post-Mortem Examination of the International Financial Network , 2012 .

[12]  Mikko Kivelä,et al.  Generalizations of the clustering coefficient to weighted complex networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  Giulio Cimini,et al.  Systemic Risk Analysis on Reconstructed Economic and Financial Networks , 2014, Scientific Reports.

[14]  Kevin Cowan,et al.  The Effect of Credit Guarantees on Credit Availability and Delinquency Rates , 2012 .

[15]  M. Newman Analysis of weighted networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[16]  Keunkwan Ryu,et al.  Analysis of loan guarantees among the Korean Chaebol affiliates , 2004 .

[17]  Marco Ventura,et al.  The impact of public guarantees on credit to SMEs , 2009 .

[18]  M. Newman,et al.  Statistical mechanics of networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[19]  Prasanna Gai,et al.  Contagion in financial networks , 2010, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[20]  Liqing Zhang,et al.  A hybrid approach for risk assessment of loan guarantee network , 2017, ArXiv.

[21]  Garry Robins,et al.  Small Worlds Among Interlocking Directors: Network Structure and Distance in Bipartite Graphs , 2004, Comput. Math. Organ. Theory.

[22]  Junchi Yan,et al.  Visual analytics for loan guarantee network risk management. , 2017 .

[23]  B. A. D. Aghion,et al.  On the design of a credit agreement with peer monitoring , 1999 .

[24]  L. Amaral,et al.  Small-World Networks: Evidence for a Crossover Picture , 1999, cond-mat/9903108.

[25]  Mark R. Muldoon,et al.  The Small World of Corporate Boards , 2006 .

[26]  Steven M. Goodreau,et al.  Advances in exponential random graph (p*) models applied to a large social network , 2007, Soc. Networks.

[27]  Junrui Zhang,et al.  Loan Guarantees and Guarantor Default Risk: Evidence from China , 2014 .

[28]  Diego Garlaschelli,et al.  Stationarity, non-stationarity and early warning signals in economic networks , 2014, J. Complex Networks.

[29]  Krishna G. Palepu,et al.  Predicting takeover targets: A methodological and empirical analysis , 1986 .

[30]  Downloaded from , 1997 .

[31]  S. Schwarcz,et al.  Systemic Risk , 2008 .

[32]  Zhi-feng Dai,et al.  Forecasting stock market returns by combining sum-of-the-parts and ensemble empirical mode decomposition , 2020, Applied Economics.

[33]  Edward M. H. Lin,et al.  Systemic risk, financial markets, and performance of financial institutions , 2018, Ann. Oper. Res..

[34]  Ming Xu,et al.  Determinants of the guarantee circles: The case of Chinese listed firms , 2012 .

[35]  Guo Ju-e The Infection Mechanism of the Guarantee Chain Crisis , 2012 .

[36]  Stefan Thurner,et al.  Elimination of systemic risk in financial networks by means of a systemic risk transaction tax , 2014, 1401.8026.

[37]  J. Lin,et al.  New Structural Economics: A Framework for Rethinking Development , 2010 .

[38]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[39]  M. Newman,et al.  Renormalization Group Analysis of the Small-World Network Model , 1999, cond-mat/9903357.

[40]  Shaohua Tan,et al.  NetRating: Credit Risk Evaluation for Loan Guarantee Chain in China , 2017, PAISI.

[41]  Emmanuel Lazega,et al.  Embeddedness as a multilevel problem: A case study in economic sociology , 2016, Soc. Networks.

[42]  D. Garlaschelli,et al.  Multispecies grand-canonical models for networks with reciprocity. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[43]  Yang Jiang Vulgarisation of Keynesianism in China's response to the global financial crisis , 2015 .

[44]  Angelo Mele,et al.  A Structural Model of Dense Network Formation , 2017 .

[45]  Weiguo Fan,et al.  Credit risk transfer in SME loan guarantee networks , 2017, J. Syst. Sci. Complex..

[46]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[47]  T. Vicsek,et al.  Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.