MANAGING AND MODELLING RISK AND COMPLEXITY IN THE INVESTMENT AND HEDGE FUNDS INDUSTRY

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The project will develop an evolutionary learning algorithm for modeling non-linear financial asset price movements and conduct simulations to gain a better understanding of price formation in securities markets with a focus on the equity market. We will focus on extreme market conditions to calibrate the benefits and efficiency of risk management techniques. The models will be applied to benchmarking and evaluating portfolio decisions of hedge funds; investment risk management and dynamic portfolio selection strategies. The research will result in new theoretical approaches and empirical methods to study price movements and evaluate fund performance.