Corporate governance, board responsibilities and financial performance : the National Bank of Australia

This paper examines board responsibilities and accountability by management and Board of Directors in relation to the National Australia Bank's (NABs) performance. The NAB, an international financial service provider within the top thirty most profitable banks in the world, is compared with the Australian major banks. The evidence suggests that NABs poor performance was consistent with a lack of accountability, poor corporate governance and board dysfunction associated with fraudulent currency trading and the subsequent AUD360 million foreign currency losses. The NAB's performance is investigated by utilising accounting-based measures of profitability and cost efficiency as proxies for performance. Following the foreign currency trading losses in 2004 the NAB under-performed the other major Australian banks in terms of profits, cost to income ratio and growth in assets. In terms of profitability and cost efficiency NAB had the lowest ROE and ROA with a 19.7% fall in net profit and the highest cost to income ratio of 5 7.4% of any of the five largest banks. This case study provides an Australian example of poor corporate governance and suggests that financial institutions and regulators can learn from the NAB's experience. Failure to have top-down accountability can have significant impact on over-all performance, profitability and reputation. In particular, it suggests that management and Boards need to review their risk management procedures and regulators need to be more pro-active in their prudential oversight of financial institutions.

Modelling financial investment planning from agent perspectives

Multi-agent Systems (MASs) offer strong models for representing complex and dynamic real-world environments. Taking financial investment planning as an example, this paper describes how to model complex systems from agent perspectives. Different agents and their behaviours are identified for financial investment planning. These agents are put together as an agent-based system. The experimental results show that all agents in the system can work cooperatively to provide reasonable investment advice. The system is very flexible and robust. The success of the system indicates that (MASs) can significantly facilitate the modelling of complex systems.