Econometric analysis of financial and economic time series.

Other Authors: Terrell, Dek.
Format: Book
Language:English
Published: Amsterdam ; Oxford : Elsevier JAI, 2006.
Series:Advances in econometrics, v. 20
Subjects:
Online Access:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=166938
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245 0 0 |a Econometric analysis of financial and economic time series.  |c edited by Dek Terrell, Thomas B. Fomby. 
260 |a Amsterdam ;  |b Elsevier JAI,  |c 2006.  |a Oxford : 
300 |a 1 online resource (1 volume) :  |b illustrations, portraits. 
490 1 |a Advances in econometrics,  |v v. 20  |x 0731-9053 ; 
504 |a Includes bibliographical references. 
505 0 |a Cover -- Contents -- Dedication -- List of Contributors -- Introduction -- Good Ideas -- The Creativity Process -- Reference -- Part I: Multivariate Volatility Models -- A Flexible Dynamic Correlation Model -- Introduction -- Existing Multivariate GARCH Models -- Simulations -- Empirical Results -- Conclusions -- Notes -- Acknowledgments -- References -- A Multivariate Skew-Garch Model -- Introduction -- The Skew-Normal Distribution -- The SGARCH Model -- Conditional Distributions and Related Moments -- Unconditional Distributions -- Analysis of Some Financial Markets -- Conclusions -- References -- Appendix -- Semi-Parametric Modelling of Correlation Dynamics -- Introduction -- Dynamic Conditional Correlation Models -- A Semi-Parametric Conditional Correlation Model -- Empirical Application -- Concluding Remarks -- Notes -- Acknowledgments -- References -- Appendix: Assumptions and Proof of Theorem 1 -- A Multivariate Heavy-Tailed Distribution for ARCH/GARCH Residuals -- Introduction -- The Implicit Arch Model in the Univariate Case: A Brief Review -- A Multivariate Heavy-Tailed Distribution for ARCH/GARCH -- Numerical Maximum Likelihood -- The Bivariate Paradigm -- A Real Data Example -- Notes -- References -- A Portmanteau Test for Multivariate GARCH when the Conditional Mean is an ECM: Theory and Empirical Applications -- Introduction -- Basic Properties of the Models and the Test Statistic -- Distribution of the Sum of Squared Residual Autocorrelations -- Monte Carlo Experiments -- Empirical Examples -- Conclusions -- Acknowledgements -- References -- Appendix: Lemmas -- Part II: High Frequency Volatility Models -- Sampling Frequency and Window Length Trade-Offs in Data-Driven Volatility Estimation: Appraising the Accuracy of Asymptotic Approximations -- Introduction -- Theoretical Comparison of Estimators with different Sampling Frequencies -- Some Examples of Asymptotically Equivalent Filters -- Monte CARLO Study -- Conclusions -- Notes -- Acknowledgments -- References -- Model-Based Measurement of Actual Volatility in High-Frequency Data -- Introduction -- Models for High-Frequency Prices -- Estimation Methods -- Empirical Results for Three Months of IBM Prices -- Discussion and Conclusion -- References -- Cubic Spline for Intra-Daily Volatility Pattern -- Approximating Model for SV with Noise -- Noise Reduced Realized Volatility: A Kalman Filter Approach -- Introduction -- Model -- Multivariate Normal Approach -- Implementation -- Performance -- Conclusions -- Notes -- References -- Part III: Univariate Volatility Models -- Modeling the Asymmetry of Stock Movements Using Price Ranges -- Introduction -- Model Specification, Estimation, and Properties -- An Empirical Example Using the S & P 500 Daily Index, 1962/01/03-2000/08/25 -- Conclusion -- Notes -- Acknowledgments -- Ref. 
650 0 |a Econometric models. 
650 0 |a Finance  |x Econometric models. 
650 0 |a Time-series analysis. 
650 7 |a BUSINESS & ECONOMICS  |x Econometrics. 
650 7 |a BUSINESS & ECONOMICS  |x Statistics. 
650 7 |a Econometric models. 
650 7 |a Finance  |x Econometric models. 
650 7 |a Time-series analysis. 
650 1 7 |a Econometrische analyse. 
650 1 7 |a Tijdreeksen. 
700 1 |a Terrell, Dek. 
856 4 0 |a Fomby, Thomas B.  |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=166938 
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