Systemic Risk and Productivity of the Major Australian Banks
- 1 School of Business, The University of Queensland, St Lucia Campus, Brisbane, Australia
Abstract
We measure the domestic systemic risk of the Australian major banks. We report systemic risk along five categories, namely, size, inter-connectedness, non-substitutability, complexity and domestic sentiment. We then carry out sensitivity analyses by changing equal weights in the categories, and examine the capital adequacy and inter-connectedness of the majors focusing on key ratios. In terms of sensitivity analyses, changing the equal weights do not influence systemic risk considerably, which indicates that the results are robust. Comparing systemic risk to productivity, we find that level systemic risk across time and high productivity are compatible, and rising systemic risk causes some inefficiency.
- Office of Financial Research (2016) Systemic Importance Data Shed Light on Global Banking Risks, Brief Series, April 13.
- Calluzzo, P. and Dong, G.N. (2015) Has the Financial System Become Safer after the Crisis? The Changing Nature of Financial Institution Risk. Journal of Banking & Finance, 53, 233-248. https://doi.org/10.1016/j.jbankfin.2014.10.009
- Gart, A. (1994) Regulation, Deregulation, Reregulation: The Future of the Banking, Insurance, and Securities Industries. John Wiley & Sons, New York.
- Jin, X. and De Simone, F.A.N. (2014) Banking Systemic Vulnerabilities: A Tail-Risk Dynamic CIMDO Approach. Journal of Financial Stability, 14, 81-101. https://doi.org/10.1016/j.jfs.2013.12.004
- Group of Twenty (2011) Building Our Common Future: Renewed Collective Action for the Benefit of All. Cannes Summit Final Declaration, Communique, November.
- Bramer, P. and Gischer, H. (2013) An Assessment Methodology for Domestic Systemically Important Banks in Australia. The Australian Economic Review, 46, 140-159. https://doi.org/10.1111/j.1467-8462.2013.12008.x
- Yun, J. and Moon, H. (2014) Measuring Systemic Risk in the Korean Banking Sector via Dynamic Conditional Correlation Models. Pacific-Basin Finance Journal, 27, 94-114. https://doi.org/10.1016/j.pacfin.2014.02.005
- Rosch, D. and Scheule, H. (2016) The Role of Loan Portfolio Losses and Bank Capital for Asian Financial System Resilience. Pacific-Basin Finance Journal, 40, 289-305. https://doi.org/10.1016/j.pacfin.2016.01.002
- Bollen, B., Skully, M., Tripe, D. and Wei, X. (2015) The Global Financial Crisis and Its Impact on Australian Bank Risk. International Review of Finance, 15, 89-111. https://doi.org/10.1111/irfi.12041
- Degryse, H., Elahi, M.A. and Penas, M.F. (2010) Cross-Border Exposures and Financial Contagion. International Review of Finance, 10, 209-240. https://doi.org/10.1111/j.1468-2443.2010.01109.x
- Bisias, D., Flood, M., Lo, A.W. and Valavanis, S. (2012) A Survey of Systemic Risk Analytics. Annual Review of Financial Economics, 4, 255-296. https://doi.org/10.1146/annurev-financial-110311-101754
- Basel Committee on Banking Supervision (2013) Global Systemically Important Banks: Updated Assessment Methodology and the Higher Loss Absorbency Requirement. Bank for International Settlements, July.
- Financial Stability Board (2012) Extending the G-SIFI Framework to Domestic Systemically Important Banks, April.