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Credit Loss Australasia
Credit Loss Australasia Historical Data

 

 

The purpose of this project is an empirical analysis of patterns and dynamics of loan losses in Australasian banking 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 thesis chapters are below.

 >>Download thesis as submitted April 2008  (2 MB)

Chapter  Title Description
1  Introduction  
2  Literature review Reviews fundamentals of accounting for credit losses and literature which has attempted to determine drivers of credit losses in the banking system.
 
3  The Australasian banking system This chapter describes the operating environment of Australasian banks through the 1980 to 2005 observation period. It also includes profiles of institutions in the database as well as a review of disclosure standards and rules during this observation period.
 
4  Typology of credit loss and
 provisioning reporting
Data on loan losses and provisions are widely used in empirical research yet the process of extracting these data from published financial accounts remains largely undocumented in the literature. This chapter develops a typology of accounting and reporting of credit provisions and losses by financial institutions. It then applies this typology to a comprehensive sample of Australasian banks where one observes a great heterogeneity of reporting such data, both between institutions and also through time. It then documents how this typology allows the capturing of relevant credit provision and loss data into a standardized data template yielding equivalent informational content.

Asian FA 2006 conference paper, Auckland, July
Asian FA 2006 draft presentation slides
5  Methodology Introduces a principal model to explain credit loss experience observed. Evaluates proxies to measure credit loss experience. Explores and presents explanatory variables that will be used for various functional forms (to be defined in the estimation chapter).
 
6  Model estimation and results Evaluates a preferred functional form based on the principal model of chapter 5. Conducts estimations for impaired asset expense (as % of loans) as well as for a range of other dependent credit loss experience (CLE) proxies. Explores, among other, country-specific effects and the impact of past bank expansion.
7  Thesis summary and conclusions  

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Copyright © January, 2009 Kurt Hess, University of Waikato
Last modified: 13-Jan-2009