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Research Commons at The http://waikato.researchgateway.ac.nz/ Research Commons at the University of Waikato Copyright Statement: The digital copy of this thesis is protected by the Copyright Act 1994 (New Zealand). The thesis may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use: Any use you make of these documents or images must be for research or private study purposes only, and you may not make them available to any other person. Authors control the copyright of their thesis. You will recognise the author’s right to be identified as the author of the thesis, and due acknowledgement will be made to the author where appropriate. You will obtain the author’s permission before publishing any material from the thesis. Credit Loss Dynamics in Australasian Banking A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy at the University of Waikato by Kurt Hess Department of Economics University of Waikato Management School 2008 [email protected] Date: 10 April 2008 i Abstract The purpose of this thesis is to analyze the drivers and dynamics of credit losses in Australasian banking over an extended period of time in order to improve the means by which financial institutions manage their credit risks and regulatory bodies safeguard the stability and integrity of the financial system. The analysis is based on a specially constructed data base of credit loss and provisioning data retrieved from original financial reports published by Australian and New Zealand banks. The observation period covers 1980 to 2005, starting at the time when such information was published for the first time in bank financial statements. It moreover covers the time of major crises which occurred in both Australia and New Zealand in the late 1980s and early 1990s. The heterogeneity of reporting the data both amongst banks and through time requires the development of a reporting typology which allows data extraction with equivalent informational content. As a thorough study of credit risks requires long data series often not available from third party data providers, the method developed here will provide value to a range of researchers. Based on an evaluation of many alternative proxies which track a bank’s credit loss experience (CLE), the thesis proposes a preferred model for impaired assets expense (as % of loans) as dependent variable, mainly because of its timely nature and good data availability. Explanatory variables include aggregate macro variables of which changes in unemployment and the return in the share markets are found to have the most significant influence on a bank’s credit losses. Bank-specific control variables include a pre-provision earnings proxy whose significance points to the use of provisions for the purpose of income smoothing by Australasian banks. The model also controls for size and nature of lending as smaller, retail-oriented housing lenders, on average, exhibit lower loan losses. Clear results are found with regard to the effect ii of rapid expansion which appears to be followed by a surge of bad debt provisions 2 to 3 years later. Moreover, inefficient banks tend to suffer greater credit losses. An important part of the thesis looks at the characteristics of alternative CLE proxies such as stock of provisions, impaired assets and write-offs which have been used by earlier literature. Estimating the preferred model with such alternative CLE parameters confirms their peculiarities such as the memory character of stock of provisions and the delayed nature of write-offs. These measures correlate rather poorly amongst themselves which calls for caution in the comparative interpretation of earlier studies that use differing CLE proxies. iii Acknowledgements Many people have supported me on the long journey towards submission of this PhD. Special thanks go to my supervisors Arthur Grimes and Mark Holmes for their advice and guidance. I am grateful to David Tripe of Massey University Centre of Banking Study for suggesting this topic area and his valuable feedback at various stages of this project. Finally, I would like to thank my wife Elisabeth for the patience of putting up with a stressed husband working on his PhD thesis. iv Table of Contents Abstract ............................................................................................................................................................ ii Acknowledgements ..........................................................................................................................................iv Table of Contents ............................................................................................................................................. v List of Figures ............................................................................................................................................. xii List of Tables ............................................................................................................................................... xv 1 INTRODUCTION .............................................................................................. 1 1.1 Background: banks and credit risks .................................................................................................. 1 1.2 The data sample ................................................................................................................................... 3 1.3 Methodological issues .......................................................................................................................... 3 1.4 Empirical analysis ................................................................................................................................ 5 1.5 Thesis structure .................................................................................................................................... 6 2 LITERATURE REVIEW .................................................................................... 7 2.1 Introduction.......................................................................................................................................... 7 2.2 A primer on loan loss provisioning ..................................................................................................... 7 2.2.1 Basic accounting transactions ........................................................................................................... 8 2.2.2 Life cycle perspective ....................................................................................................................... 9 2.3 Loan loss accounting: fundamental philosophies ............................................................................ 10 2.4 Hypotheses on behavioural factors affecting levels of loan loss provisions .................................. 13 v 2.4.1 Income Smoothing .......................................................................................................................... 14 2.4.2 Capital Regulation........................................................................................................................... 16 2.4.3 Signalling ........................................................................................................................................ 17 2.4.4 Taxation Management ..................................................................................................................... 19 2.4.5 Studies on behavioural aspects using non-US data ......................................................................... 20 2.5 Literature with a macro prudential and bank regulatory focus .................................................... 21 2.5.1 Studies with global data samples .................................................................................................... 25 2.5.2 Specific country and system studies................................................................................................ 26 2.6 Chapter summary .............................................................................................................................. 30 3 THE AUSTRALASIAN BANKING SYSTEM .................................................. 31 3.1 Introduction........................................................................................................................................ 31 3.2 Sample selection ................................................................................................................................. 33 3.2.1 Criteria for inclusion ....................................................................................................................... 34 3.2.2 Criteria for exclusion ...................................................................................................................... 34 3.3 The Australian banking system ........................................................................................................ 37 3.3.1 Development of the overall system ................................................................................................. 37 3.3.1.1 Pre-deregulation state of the world .......................................................................................... 37 3.3.1.2 Effects of the deregulation initiated by Campbell inquiry ....................................................... 39 3.3.1.3 Financial sector reforms of 1998 ............................................................................................
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