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Foreword | ||
Acknowledgments | ||
Contributing authors | ||
Introduction | ||
Pt. I | High Frequency Financial Series, Volatility and Risk | 1 |
1 | Efficient Estimation of Intra-day Volatility: A Method-of-Moments Approach Incorporating the Trading Range | 3 |
2 | Modelling Intra-day Equity Prices and Volatility Using Information Arrivals - A Comparative Study of Different Choices of Informational Proxies | 27 |
3 | The Incremental Volatility Information in One Million Foreign Exchange Quotations | 65 |
4 | Correlation of High-Frequency Financial Time Series | 91 |
5 | Highs and Lows: Times of the Day in the Currency CME Market | 127 |
Pt. II | Statistical Features of High Frequency Financial Series and Forecasting | 149 |
6 | The Intra-day Behaviour of Key Market Variables for LIFFE Derivatives | 151 |
7 | Price Discovery and Market Integration in European Bond Markets | 190 |
8 | A Practical Approach to Information Spillover at High Frequency: Empirical Study of the Gilt and FTSE LIFFE Contracts | 207 |
9 | High-Frequency Random Walks? | 227 |
10 | Trading Rules Profits and the Underlying Time Series Properties | 255 |
Pt. III | High Frequency Financial Series and Market Practitioners Applications | 303 |
11 | The Sources, Preparation and Use of High Frequency Data in the Derivatives Markets | 305 |
12 | The Design of a Quantitative Currency Overlay Program | 324 |
13 | Constructing A Managed Portfolio of High Frequency LIFFE Futures Positions | 347 |
14 | Is Short Term Better? An Insight Through Managed Futures Performances | 376 |
Index | 389 |
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