Econometric analysis of financial and economic time series, Part A:
Gespeichert in:
Format: | Elektronisch E-Book |
---|---|
Sprache: | English |
Veröffentlicht: |
Amsterdam
Elsevier JAI
2006
|
Schriftenreihe: | Advances in econometrics
20,1 |
Schlagworte: | |
Online-Zugang: | FAW01 FAW02 Volltext |
Beschreibung: | Includes bibliographical references 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 The papers in this volume focus on volatility models and are organized by multivariate, high frequency and univariate types |
Beschreibung: | 1 Online-Ressource (1 volume) |
ISBN: | 0080462367 1849503893 9780080462363 9781849503891 |
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245 | 1 | 0 | |a Econometric analysis of financial and economic time series, Part A |c edited by Dek Terrell, Thomas B. Fomby |
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490 | 1 | |a Advances in econometrics |v v. 20 | |
500 | |a Includes bibliographical references | ||
500 | |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 -- | ||
500 | |a 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 -- | ||
500 | |a 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 | ||
500 | |a The papers in this volume focus on volatility models and are organized by multivariate, high frequency and univariate types | ||
650 | 7 | |a BUSINESS & ECONOMICS / Econometrics |2 bisacsh | |
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650 | 7 | |a Econometric models |2 fast | |
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Datensatz im Suchindex
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discipline | Wirtschaftswissenschaften |
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id | DE-604.BV043156102 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T07:19:12Z |
institution | BVB |
isbn | 0080462367 1849503893 9780080462363 9781849503891 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028580293 |
oclc_num | 77517312 |
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owner_facet | DE-1046 DE-1047 |
physical | 1 Online-Ressource (1 volume) |
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publishDate | 2006 |
publishDateSearch | 2006 |
publishDateSort | 2006 |
publisher | Elsevier JAI |
record_format | marc |
series | Advances in econometrics |
series2 | Advances in econometrics |
spelling | Econometric analysis of financial and economic time series, Part A edited by Dek Terrell, Thomas B. Fomby Amsterdam Elsevier JAI 2006 1 Online-Ressource (1 volume) txt rdacontent c rdamedia cr rdacarrier Advances in econometrics v. 20 Includes bibliographical references 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 The papers in this volume focus on volatility models and are organized by multivariate, high frequency and univariate types BUSINESS & ECONOMICS / Econometrics bisacsh BUSINESS & ECONOMICS / Statistics bisacsh Econometric models fast Finance / Econometric models fast Time-series analysis fast Econometrische analyse gtt Tijdreeksen gtt Toepassingen gtt Statistik Wirtschaft Ökonometrisches Modell Econometric models Finance Econometric models Time-series analysis Terrell, Dek 1964- Sonstige (DE-588)171148029 oth Fomby, Thomas B. Sonstige (DE-588)170050165 oth Erscheint auch als Druck-Ausgabe 0-7623-1274-2 978-0-7623-1274-0 Ergänzung Part B 0-7623-1273-4 978-0-7623-1273-3 Advances in econometrics 20,1 (DE-604)BV023055191 20,1 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=166938 Aggregator Volltext |
spellingShingle | Econometric analysis of financial and economic time series, Part A Advances in econometrics BUSINESS & ECONOMICS / Econometrics bisacsh BUSINESS & ECONOMICS / Statistics bisacsh Econometric models fast Finance / Econometric models fast Time-series analysis fast Econometrische analyse gtt Tijdreeksen gtt Toepassingen gtt Statistik Wirtschaft Ökonometrisches Modell Econometric models Finance Econometric models Time-series analysis |
title | Econometric analysis of financial and economic time series, Part A |
title_auth | Econometric analysis of financial and economic time series, Part A |
title_exact_search | Econometric analysis of financial and economic time series, Part A |
title_full | Econometric analysis of financial and economic time series, Part A edited by Dek Terrell, Thomas B. Fomby |
title_fullStr | Econometric analysis of financial and economic time series, Part A edited by Dek Terrell, Thomas B. Fomby |
title_full_unstemmed | Econometric analysis of financial and economic time series, Part A edited by Dek Terrell, Thomas B. Fomby |
title_short | Econometric analysis of financial and economic time series, Part A |
title_sort | econometric analysis of financial and economic time series part a |
topic | BUSINESS & ECONOMICS / Econometrics bisacsh BUSINESS & ECONOMICS / Statistics bisacsh Econometric models fast Finance / Econometric models fast Time-series analysis fast Econometrische analyse gtt Tijdreeksen gtt Toepassingen gtt Statistik Wirtschaft Ökonometrisches Modell Econometric models Finance Econometric models Time-series analysis |
topic_facet | BUSINESS & ECONOMICS / Econometrics BUSINESS & ECONOMICS / Statistics Econometric models Finance / Econometric models Time-series analysis Econometrische analyse Tijdreeksen Toepassingen Statistik Wirtschaft Ökonometrisches Modell Finance Econometric models |
url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=166938 |
volume_link | (DE-604)BV023055191 |
work_keys_str_mv | AT terrelldek econometricanalysisoffinancialandeconomictimeseriesparta AT fombythomasb econometricanalysisoffinancialandeconomictimeseriesparta |