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This text focuses on the issue of non-linear modelling of high frequency financial data. Non-linearity refers to situations in which there is a high degree of apparent randomness to the way in which a particular financial measure, price, interest rate, or exchange rate moves with time.
Today s financial markets are characterised by a large number of participants, with different appetites for risk, different time horizons, different motivations and reactions to unexpected news.
This volume focuses on the following three themes: model and forecast combinations; structural change and long memory; and controlling downside risk and investment strategies.
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