Stess-testing the system: Financial shock contagion in the realm of uncertainty

This work proposes an augmented variant of DebtRank with uncertainty intervals as a method to investigate and assess systemic risk in financial networks, in a context of incomplete data. The algorithm is tested against a default contagion algorithm on three ensembles of networks with increasing density, estimated from real-world banking data related to the largest 227 EU15 financial institutions indexed in a stock market. Results suggest that DebtRank is capable of capturing increasing rates of systemic risk in a more sensitive and continuous way, thereby acting as an early-warning signal. The paper proposes three policy instruments based on this approach: the monitoring of systemic risk over time by applying the augmented DebtRank on time snapshots of interbank networks, a stress-testing framework able to test the systemic importance of financial institutions on different shock scenarios, and the evaluation of distribution of systemic losses in currency value.

[1]  Guido Caldarelli,et al.  Default Cascades in Complex Networks: Topology and Systemic Risk , 2013, Scientific Reports.

[2]  Thomas Lux,et al.  Please Scroll down for Article Critical Review the Financial Crisis and the Systemic Failure of the Economics Profession , 2022 .

[3]  L. Sessa,et al.  Credit and Banking in a DSGE Model of the Euro Area , 2010 .

[4]  Michael K. Andersson,et al.  Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks , 2007 .

[5]  Abdelaziz Rouabah,et al.  Financial (In)Stability, Supervision and Liquidity Injections: A Dynamic General Equilibrium Approach , 2008 .

[6]  Jan Bogg,et al.  Complexity, Science and Society , 2007 .

[7]  John B. Taylor,et al.  The Financial Crisis and the Policy Responses: An Empirical Analysis of What Went Wrong , 2009 .

[8]  Macroeconomics, Monetary Policy, and the Crisis , 2012 .

[9]  Oliver Hart,et al.  A New Capital Regulation for Large Financial Institutions , 2009 .

[10]  Kenneth S. Rogoff,et al.  Banking Crises: An Equal Opportunity Menace , 2013 .

[11]  S. Thurner,et al.  An Empirical Analysis of the Network Structure of the Austrian Interbank Market , 2004 .

[12]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[13]  G. Caldarelli,et al.  A Network Analysis of the Italian Overnight Money Market , 2005 .

[14]  Daniel Belingher.  COULD BE CONSIDERED A FAILURE THE OF THE ECONOMIST PROFESSION THE CURRENT GLOBAL CRISIS , 2012 .

[15]  Franklin Allen,et al.  Financial Contagion , 2000, Journal of Political Economy.

[16]  Stefan Thurner,et al.  DebtRank-transparency: Controlling systemic risk in financial networks , 2013, Scientific Reports.

[17]  Roma,et al.  Fitness model for the Italian interbank money market. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  C. Tovar.  DSGE Models and Central Banks , 2008 .

[19]  Robert N. McCauley,et al.  Manias, Panics, and Crashes: A History of Financial Crises , 1979 .

[20]  Christian,et al.  The Author Would like to Thank , 1988 .

[21]  G. Caldarelli,et al.  DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk , 2012, Scientific Reports.

[22]  Chen Zhou De Nederlandsche.  Are Banks Too Big to Fail? Measuring Systemic Importance of Financial Institutions , 2012 .

[23]  I. Visco,et al.  The Role of Macroeconomic Policies in the Global Crisis , 2010 .

[24]  Cristopher Moore,et al.  Stability Analysis of Financial Contagion Due to Overlapping Portfolios , 2012, ArXiv.

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

[26]  Matteo Luciani,et al.  Googling SIFIs , 2012 .

[27]  C. Ernesto.  DSGE Models and Central Banks Economics : The Open-Access , 2009 .

[28]  Christian Upper,et al.  Using Counterfactual Simulations to Assess the Danger of Contagion in Interbank Markets , 2007 .

[29]  T. Vicsek,et al.  Directed network modules , 2007, physics/0703248.

[30]  A. Rose,et al.  Cross-Country Causes and Consequences of the 2008 Crisis: Early Warning , 2012 .

[31]  Christian Weistroffer.  Identifying Systemically Important Financial Institutions (SIFIs) , 2011 .

[32]  C. P. Goodman.  From Complexity to Life: On the Emergence of Life and Meaning , 2003 .

[33]  S. Kapadia,et al.  Andrew G Haldane: Rethinking the Financial Network , 2022 .

[34]  Giulia Iori,et al.  Systemic Risk on the Interbank Market , 2004 .

[35]  W. Arthur.  Out-of-equilibrium economics and agent-based modeling , 2006 .

[36]  E. Marelli,et al.  The Impact of Financial Crises on Youth Unemployment Rate , 2010 .

[37]  G. Bondt.  Interest Rate Pass-Through: Empirical Results for the Euro Area , 2005 .

[38]  M. Mitchell Waldrop,et al.  Complexity : the emerging science and the edge of order and chaos , 1992 .

[39]  Philippe Jorion,et al.  Risk2: Measuring the Risk in Value at Risk , 1996 .

[40]  R. Shiller.  How Should the Financial Crisis Change How We Teach Economics? , 2010 .

[41]  Leibniz-Informationszentrum Wirtschaft,et al.  Estimating Bilateral Exposures in the German Interbank Market: Is there a Danger of Contagion? , 2002 .

[42]  H. Stanley,et al.  Cascading Failures in Bi-partite Graphs: Model for Systemic Risk Propagation , 2012, Scientific Reports.

[43]  W. Perraudin,et al.  The Impact of Capital Requirements on U.K. Bank Behaviour , 1998 .

[44]  M. Wickens.  Macroeconomic Theory: A Dynamic General Equilibrium Approach , 2008 .

[45]  X. Freixas,et al.  Contagion and efficiency in gross and net interbank payment systems , 1998 .

[46]  Mathias Drehmann,et al.  Measuring the Systemic Importance of Interconnected Banks , 2011 .

[47]  Dušan Tanasković,et al.  Global systemically important banks: Assessment methodology and the additional loss absorbency requirement , 2015 .

[48]  M. F.,et al.  Bibliography , 1985, Experimental Gerontology.

[49]  Robert E. Lucas,et al.  The Impact of Financial Crises on Labor Markets, Household Incomes, and Poverty: A Review of Evidence , 2002 .

[50]  Philippe Artzner,et al.  Coherent Measures of Risk , 1999 .

[51]  Gary H. Stern,et al.  Too Big to Fail: The Hazards of Bank Bailouts , 2004 .

[52]  Christoffer Kok,et al.  Bank Interest Rate Pass-Through in the Euro Area: A Cross Country Comparison , 2006, SSRN Electronic Journal.

[53]  N. Taleb.  Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets , 2001 .

[54]  Neil D. Pearson,et al.  Value at Risk , 2000 .

[55]  Virgil D. Gligor,et al.  Analysis of complex contagions in random multiplex networks , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[56]  N. Taleb.  Antifragile: Things That Gain from Disorder , 2012 .

[57]  A. Arenas,et al.  Mathematical Formulation of Multilayer Networks , 2013, 1307.4977.

[58]  G. Caldarelli,et al.  Vertex intrinsic fitness: how to produce arbitrary scale-free networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[59]  R. Aris.  Vectors, Tensors and the Basic Equations of Fluid Mechanics , 1962 .

[60]  Guido Caldarelli,et al.  Bootstrapping Topological Properties and Systemic Risk of Complex Networks Using the Fitness Model , 2012, Journal of Statistical Physics.

[61]  Dorothea Wagner,et al.  Analysis and Visualization of Social Networks , 2003, Graph Drawing Software.

[62]  Javier A. Reyes,et al.  A network analysis of global banking , 2011 .

[63]  P. Krugman,et al.  The Profession and the Crisis , 2011 .

[64]  Andrea Tambalotti,et al.  Policy Analysis Using DSGE Models: An Introduction , 2010 .

[65]  Systemic Risk in Financial Networks , 1999 .

[66]  Rómulo A. Chumacero,et al.  General Equilibrium Models: An Overview , 2004 .

[67]  R. Moessner,et al.  Macroprudential Policy – A Literature Review , 2011 .

[68]  Horst Gischer,et al.  Domestic Systemically Important Banks: An Indicator-Based Measurement Approach for the Australian Banking System , 2012 .

[69]  Gary Haberman.  Capital requirements of commercial and investment banks: contrasts in regulation , 1987 .

[70]  Sergio Masciantonio.  Identifying and Tracking Global, EU and Eurozone Systemically Important Banks with Public Data , 2013 .

[71]  Alexander M. Millkey.  The Black Swan: The Impact of the Highly Improbable , 2009 .

[72]  Eric D. Beinhocker.  The Origin of Wealth - Evolution, Complexity, and the Radical Remaking of Economics , 2007 .

[73]  Dynamic General-Equilibrium Models and Why the Bank of Canada is Interested in Them , 2001 .

[74]  R. Starr.  General Equilibrium Theory: An Introduction , 1997 .

[75]  J. Vromen,et al.  Darwin's conjecture: the search for general principles of social and economic evolution , 2012 .