Econometric analysis of financial and economic time series, Part B:
Gespeichert in:
Bibliographische Detailangaben
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Amsterdam Elsevier JAI 2006
Schriftenreihe:Advances in econometrics 20,2
Schlagworte:
Online-Zugang:FAW01
FAW02
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Beschreibung:Includes bibliographical references
Cover -- Contents -- Dedication -- List of Contributors -- Introduction -- Good Ideas -- The Creativity Process -- Reference -- Realized Beta: Persistence and Predictability -- Introduction -- Theoretical Framework -- Realized Quarterly Variances, Covariances, and Betas -- Nonlinear Fractional Cointegration: A Common Long-Memory Feature in Variances and Covariances -- Empirical Analysis -- Dynamics of Quarterly Realized Variance, Covariances and Betas -- Predictability -- Assessing Precision: Interval Estimates of Betas -- Continuous-Record Asymptotic Standard Errors -- HAC Asymptotic Standard Errors -- Summary, Concluding Remarks, and Directions for Future Research -- Notes -- Acknowledgments -- References -- Asymmetric Predictive Abilities of Nonlinear Models for Stock Returns: Evidence from Density Forecast Comparison -- Introduction -- In-Sample Test for Martingale Difference -- Conditional Mean Models -- Out-of-Sample Test for Martingale Difference -- The BLS Test --
Results of the BLS Test -- Conclusions -- Notes -- Acknowledgement -- References -- Flexible Seasonal Time Series Models -- Introduction -- Modeling Procedures -- Local Linear Estimation -- Asymptotic Theory -- Empirical Studies -- Note -- Acknowledgments -- References -- Estimation of Long-Memory Time Series Models: A Survey of Different Likelihood-Based Methods -- Introduction -- Exact Maximum Likelihood Method -- Cholesky Decomposition -- Levinson-Durbin Algorithm -- Calculation of Autocovariances -- Exact State-Space Method -- Asymptotic Results for the Exact MLE -- Autoregressive Approximations -- Haslett-Raftery Method -- Beran Method -- Moving Average Approximations -- Kalman Recursions -- Whittle Approximations -- Whittle Approximation of the Gaussian Likelihood Function -- Discrete Version -- Alternative Versions -- Asymptotic Results -- Non-Gaussian Processes -- Semi-Parametric Methods -- Numerical experiments -- Estimation of Incomplete Series --
Effect of Data Irregularities and Missing Values on ML Estimates -- Estimation of Seasonal Long-Memory Models -- Monte Carlo Studies -- Heteroskedastic Time Series -- ARFIMA-GARCH Model -- Arch-Type Models -- Stochastic Volatility -- Numerical Experiments -- Summary -- Acknowledgment -- References -- Boosting-Based Frameworks in Financial Modeling: Application to Symbolic Volatility Forecasting -- Introduction -- Boosting: The Main Features and Relation to other Techniques -- Adaptive Boosting for Classification -- Boosting Frameworks in Financial and Econometric Applications -- Typical Classification Problems -- Symbolic Time Series Forecasting -- Portfolio Strategy Discovery and Optimization -- Regression Problems -- Symbolic Volatility Forecasting -- Discussion and Conclusion -- Acknowledgments -- References -- Overlaying Time Scales in Financial Volatility Data -- Introduction -- Integrated
The papers in this volume focus on volatility models and are organized by multivariate, high frequency and univariate types
Beschreibung:1 Online-Ressource (1 v.)
ISBN:0080462375
1849503885
9780080462370
9781849503884

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