Macroeconomic Stress Testing and the Resilience of the Indian Banking System: A Focus on Credit Risk

Niyogi Sinha Roy, Tanima and Bhattacharya, Basabi (2011): Macroeconomic Stress Testing and the Resilience of the Indian Banking System: A Focus on Credit Risk.

Abstract

The paper undertakes a macroprudential analysis of the credit risk of Public Sector Banks during the liberalization period. Using the Vector Autoregression methodology, the paper investigates the dynamic impact of changes in the macroeconomic variables on the default rate, the Financial Stability Indicator of banks by simulating interactions among all the variables included in the model. Feedback effects from the banking sector to the real economy are also estimated. The impact of variations in different Monetary Policy Instruments such as Bank Rate, Repo Rate and Reverse Repo Rate on the asset quality of banks is examined using three alternative baseline models. Impulse Response Functions of the estimated models are augmented by conducting sensitivity and scenario stress testing exercises to assess the banking sector’s vulnerability to credit risk in the face of hypothetically generated adverse macroeconomic shocks. Results indicate the absence of cyclicality and pro-cyclicality of the default rate. Adverse shocks to output gap, Real Effective Exchange Rate appreciation above its trend value, inflation rate and policy-induced monetary tightening significantly affect bank asset quality. Of the three policy rates, Bank Rate affects bank soundness with a lag and is more persistent while the two short-term rates impact default rate instantaneously but is much less persistent. Scenario stress tests reveal default rate of Public Sector Banks could increase on an average from 4% to 7% depending on the type of hypothetical macroeconomic scenario generated. An average buffer capital of 3% accumulated during the period under consideration could thus be inadequate for nearly twice the amount of Non-Performing Assets generated if macroeconomic conditions worsened. An important policy implication of the paper is that as the Indian economy moves gradually to Full Capital Account Convertibility, the banking sector is likely to come under increased stress in view of the exchange rate volatility with adverse repercussions on interest rates and bank default rates. In this emerging scenario, monetary policy stance thus emerges as an important precondition for banking stability. The study also highlights the inadequacy of existing capital reserves should macroeconomic conditions deteriorate and the urgency to strengthen the buffer capital position.

• Item Type: MPRA Paper
• Language: English
• Keywords: Banks, Macro Prudential analysis, Stress test
• Subjects: E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy; G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages

References

Amediku, Settor (2007), “Stress Tests of the Ghanaian Banking Sector: A VAR Approach, Monetary Policy Analysis and Financial Stability Department, Bank of Ghana, Working Paper/Bank Of Ghana (BOG)-2006/02, 1-37 www.bog.gov.gh

Baboucek, Ivan and Martin Jancar (2005), “ A VAR Analysis of the Effects of Macroeconomic Shocks to the Quality of the Aggregate Loan Portfolio of the Czech Banking Sector.” Czech National Bank Working Paper Series No. 1/2005, 1- 68, www.cnb.cz/en/research

Basic Statistical Returns, various issues www.rbi.org.in

Clair, Robert St (2004), “Macroeconomic Determinants of Banking Financial Performance and Resilience in Singapore” Macroeconomic Surveillance Department , Monetary Authority of Singapore (MAS) Staff paper No 38 ,1-34, www.mas.gov.sg/masmcm

Demirguc kunt , Asli and Enrica Detragiache (1998 ) “ The Determinants of Banking Crises in Developing and Developed Countries ”, IMF Staff Papers , Volume 45 , No. 1, 1-29 www.imf.org/external/pubs/ft/staffp/1998

Dickey, D.A. and W.A. Fuller (1979). “Distribution of the Estimators for Autoregressive Time Series with a Unit Root,” Journal of the American Statistical Association, 74, 427–431.

Elliot, G., T.J Rothenberg and J.H Stock (1996), “Efficient Tests for an Autoregressive Unit Root”, Econometrica, Vol. 64, 813–826.

Filosa, Renato (2007), “Stress testing of the Italian Banking System: a VAR Approach”, Heterogeneity and Monetary Policy, No. 0703, 1-46

Financial Soundness Indicators Compilation Guide (2006) www.imf.org

Gambera, Michele (2000) “Simple Forecasts of Bank Loan Quality in the Business cycle” Emerging Issues Series, Federal Reserve Bank of Chicago(S &R -2000-3), 1-31, www.chicagofed.org/publications

Gandolfo, Giancarlo (1981), Qualitative Analysis and Econometric Estimation of Continuous Time Dynamic Models, North Holland, Amsterdam.

Graeve, Ferre de; Thomas Kick & Michael Koetter (2008) , ‘Monetary Policy and Bank Distress: an Integrated Micro-macro Approach ‘ Deutsche Bundesbank Discussion Paper Series 2 : Banking and Financial Studies No.03/2008

Gyzycki, Marianne (2001), “The Effect of Macroeconomic Conditions on Banks’ Risk and Profitability” , Reserve Bank of Australia Research Discussion Paper 2001-06, 1-40, www.rba.gov.au/rdp

Handbook of Statistics on Indian Economy, various issues www.rbi.org.in

Handbook of Monetary Statistics on Indian Economy, various issues www.rbi.org.in

Hardy , Daniel C and Ceyla Pazarbasioglu (1999) “ Determinants and Leading Indicators of Banking Crises : Further Evidence .Washington DC , IMF Staff Papers, Volume 46, No. 3, 1-12, www.imf.org/external/pubs//ft/staffp

Hoggarth , Glen , Steffen Sorensen & Lea Zicchino (2005), ‘Stress Tests of UK Banks Using a VAR Approach’, Bank of England Working Paper , No.282, 1-44 www.bankofengland.co.uk/publications/wp282

Jordan, John S. and Eric. S Rosengren (2002), “Economic Cycles and Bank Health”, Federal Reserve Bank of Boston, 1-28 www.bos.frb.org/bankinfo/conevent/slowdown/jordanrosen.

Kaminsky , Graciela L and Carmen M. Reinhart (1999), “The Twin Crises: The Causes of Banking and Balance- of -Payments Problems’, American Economic Review, Vol 89 , 473- 500, http:// home.gwu.edu/graciela

Kwiatkowski, Denis, Peter C. B. Phillips, Peter Schmidt & Yongcheol Shin (1992). “Testing the Null Hypothesis of Stationary against the Alternative of a Unit Root,” Journal of Econometrics, 54, 159-178.

Lindhe, Lena (2000), “Macroeconomic Indicators of Credit Risk in Business Lending”. Sveriges Riksbank Economic Review 1/2000, 1-15, www.riksbank.com

Marcucci, Juri and Mario Quagliariello (2005), “Is Bank Portfolio Riskiness Procyclical? Evidence from Italy Using a Vector Autoregression. ” University of York, Discussion Papers in Economics, No. 2005/09, 1-45, www.york.ac.uk/depts/econ

Meyer, Andrew P. and Timothy J. Yeager (2001), “Are Small Rural Banks Vulnerable to Local Economic Downturns?” Federal Reserve Bank of St Louis Working Paper. March/April 2001, 1-14 www.stlouisfed.org

Phillips, P.C.B. and P. Perron (1988). “Testing for a Unit Root in Time Series Regression,” Biometrika, 75, 335–346

Pesaran, M.H and Shin Y (1998), “Generalized Impulse Response Analysis in Linear Multivariate Models”, Economic Letters , Vol 58, 17-29

Quagliariello, Mario (2003), ‘Are Macroeconomic Indicators Useful in Predicting Bank Loan Quality? Evidence from Italy’ http://www-users.york.ac.uk/mq102/mpa_en.pdf.

Ranjan, Rajiv and Sarat Chandra Dhal (2003), “Non Performing Loans and Terms of Credit of Public Sector Banks in India: An Empirical Assessment” . RBI Occasional Papers , Volume 24 , No 3 . Winter, 1 -41 www.rbi.org.in

Rajaraman, Indira, Sumon Bhaumik and Namita Bhatia (1999), ‘NPA Variations Across Indian Commercial Banks’, Economic & Political Weekly (EPW) , January 16-23 , 161-168

Rajaraman, Indira and Garima Vashistha (2002), ‘Non-Performing Loans of PSU Banks Some Panel results’, Economic & Political Weekly (EPW), February 2, 1-7

Reddy, Y. V. (2004), ‘Credit Policy, Systems and Culture’, Reserve Bank of India Bulletin, March., 303-311, www.rbi.org.in

Report on Currency and Finance , 2003-04 www.rbi.org.in

Salas, V and J Saurina (2002), ‘Credit Risk in Two Institutional Regimes: Spanish Commercial and Savings Banks’, Journal of Financial Services Research. Volume 22, No. 3, 203-224 www.papers.ssrm.com

Shu Chang (2002), ‘The Impact of Macro Economic Environment on the Asset quality of Hong Kong’s Banking Sector’, Hong Kong Monetary Authority (HKMA) www.bis.org/publ

Sims, C. (1980), “Macroeconomics and Reality”, Econometrica, Vol. 48, No. 1, 1-48

Sims, C. A., J. H. Stock and M. W. Watson (1990), ‘Inference in Linear Time Series Models with some Unit Roots’, Econometrica, Vol. 58, No. 1, 113-144

Sy, Amadou N.R(2007), ‘Capital Account Convertibility and Risk Management in India’ IMF Working paper /07/251 www.imf.org

Tracey, Marlon ( 2007 ) ‘A VAR Analysis of the Effects of Macroeconomic Shocks on Banking Sector Loan Quality in Jamaica’, 1-38 http://www.boj.org.jm/uploads