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Statistical Inference in Multifractal Random Walk Models for Financial Time Series
Taschenbuch von Cristina Sattarhoff
Sprache: Englisch

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Beschreibung
The dynamics of financial returns varies with the return period, from high-frequency data to daily, quarterly or annual data. Multifractal Random Walk models can capture the statistical relation between returns and return periods, thus facilitating a more accurate representation of real price changes. This book provides a generalized method of moments estimation technique for the model parameters with enhanced performance in finite samples, and a novel testing procedure for multifractality. The resource-efficient computer-based manipulation of large datasets is a typical challenge in finance. In this connection, this book also proposes a new algorithm for the computation of heteroscedasticity and autocorrelation consistent (HAC) covariance matrix estimators that can cope with large datasets.
The dynamics of financial returns varies with the return period, from high-frequency data to daily, quarterly or annual data. Multifractal Random Walk models can capture the statistical relation between returns and return periods, thus facilitating a more accurate representation of real price changes. This book provides a generalized method of moments estimation technique for the model parameters with enhanced performance in finite samples, and a novel testing procedure for multifractality. The resource-efficient computer-based manipulation of large datasets is a typical challenge in finance. In this connection, this book also proposes a new algorithm for the computation of heteroscedasticity and autocorrelation consistent (HAC) covariance matrix estimators that can cope with large datasets.
Inhaltsverzeichnis
Contents: Financial econometrics - Multifractal volatility - Multifractal Random Walk - GMM estimation - Monte Carlo simulation study - Multifractality test - Empirical analysis of international stock index data - Financial markets efficiency - HAC estimation - Stylized facts of financial time series - Fat-tailed distribution - Scale invariance - MATLAB.
Details
Fachbereich: Volkswirtschaft
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
ISBN-13: 9783631606735
ISBN-10: 3631606737
Sprache: Englisch
Herstellernummer: 260673
Autor: Sattarhoff, Cristina
Hersteller: Peter Lang
Maße: 5 x 148 x 210 mm
Von/Mit: Cristina Sattarhoff
Gewicht: 0,15 kg
Artikel-ID: 103831627
Inhaltsverzeichnis
Contents: Financial econometrics - Multifractal volatility - Multifractal Random Walk - GMM estimation - Monte Carlo simulation study - Multifractality test - Empirical analysis of international stock index data - Financial markets efficiency - HAC estimation - Stylized facts of financial time series - Fat-tailed distribution - Scale invariance - MATLAB.
Details
Fachbereich: Volkswirtschaft
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
ISBN-13: 9783631606735
ISBN-10: 3631606737
Sprache: Englisch
Herstellernummer: 260673
Autor: Sattarhoff, Cristina
Hersteller: Peter Lang
Maße: 5 x 148 x 210 mm
Von/Mit: Cristina Sattarhoff
Gewicht: 0,15 kg
Artikel-ID: 103831627
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