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020 _a9780691134796
040 _aICTS-TIFR
050 _aHG4636
100 _aTaylor, Stephen J.
245 _aAsset price dynamics, volatility, and prediction
260 _aNew Jersey
_bPrinceton University Press
_c2005
300 _axv, 525 pp.
505 _a1. Introduction; I. Foundations: 2. Prices and Returns; 3. Stochastic Processes: Definitions and Examples; 4. Stylized Facts for Financial Returns; II. Conditional Expected Returns: 5. The Variance-Ratio Test of the Random Walk Hypothesis; 6. Further Tests of the Random Walk Hypothesis; 7. Trading Rules and Market Efficiency; III. Volatility Processes: 8. An Introduction to Volatility; 9. ARCH Models: Definitions and Examples; 10. ARCH Models: Selection and Likelihood Methods; 11. Stochastic Volatility Models; IV. High-Frequency Methods: 12. High-Frequency Data and Models; V. Inferences from Option Prices: 13. Continuous-Time Stochastic Processes; 14. Option Pricing Formulae; 15. Forecasting Volatility; 16. Density Prediction for Asset Prices
520 _aThis book shows how current and recent market prices convey information about the probability distributions that govern future prices. Moving beyond purely theoretical models, Stephen Taylor applies methods supported by empirical research of equity and foreign exchange markets to show how daily and more frequent asset prices, and the prices of option contracts, can be used to construct and assess predictions about future prices, their volatility, and their probability distributions.
650 _aSocial Sciences: Finance
942 _2lcc
_cBK
999 _c3201
_d3201