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Author:
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ISBN:
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Languages : en
Pages : 51
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Author:
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ISBN:
Category :
Languages : en
Pages : 51
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Author: Roman Liesenfeld
Publisher:
ISBN:
Category :
Languages : en
Pages : 22
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Book Description
This paper examines the joint long-run dynamics of trading volume and return volatility in futures contracts on the German stock index DAX using a sample of 5-minute returns and trading volume. Employing robust semiparametric methods of inference on memory parameters, I find that volume and volatility exhibit the same degree of long-memory which is consistent with a mixture-of-distributions (MOD) model in which the latent number of information arrivals follows a long-memory process. However, there is some evidence that volume and volatility are not driven by the same long-memory process suggesting that the MOD model cannot explain the joint long-run dynamics of volatility and volume.
Author: Jacques Lévy-Véhel
Publisher: Springer Science & Business Media
ISBN: 1846280486
Category : Technology & Engineering
Languages : en
Pages : 288
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Book Description
The application of fractals in the engineering sciences is evolving swiftly and the editors have turned to Springer for the third time to bring you the latest research emerging from the rapid growth in techniques available for the employment of the ideas of fractals and complexity to a variety of disciplines in and associated with the engineering field. The strong potential of this research can be seen in real industrial situations with recent progress being made in areas such as chemical engineering, internet traffic, physics and finance. Image processing continues to be a major field of application for fractal analysis and is well-represented here. It is important to note that the applications models are presented with a firm basis in theoretical argument, the qualitative observation of fractal phenomena no longer being sufficient. Consisting of papers written by a world-wide pool of experts, the multidisciplinary approach of this third volume will be of particular interest to industrial researchers and practitioners as well as to academics from many backgrounds. Fractals in Engineering: New Trends in Theory and Applications continues the publication of engineering-related research in fractal techniques begun in Fractals in Engineering and Fractals: Theory and Applications in Engineering (Springer London 1997 and 1999).
Author: Walter Willinger
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Using the CRSP (Center for Research in Security Prices) daily stock return data, we revisit the question of whether or not actual stock market prices exhibit long-range dependence. Our study is based on an empirical investigation reported in Teverovsky, Taqqu and Willinger [33] of the modified rescaled adjusted range or R/S statistic that was proposed by Lo [17] as a test for long-range dependence with good robustness properties under quot;extraquot; short-range dependence. Our main conclusion is that because the modified R/S statistic shows a strong preference for accepting the null hypothesis of no long-range dependence, irrespective of whether long-range dependence is present in the data or not, Lo's acceptance of the hypothesis for the CRSP data (i.e., no long-range dependence in stock market prices) is less conclusive than is usually regarded in the econometrics literature. In fact, upon further analysis of the data, we find empirical evidence of long-range dependence in stock price returns, but because the corresponding degree of long-range dependence (measured via the Hurst parameter H) is typically very low (i.e., H-values around 0.60), the evidence is not absolutely conclusive.
Author: Avishek Bhandari
Publisher:
ISBN:
Category :
Languages : en
Pages : 10
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The estimation and the analysis of long memory parameters have mainly focused on the analysis of long-range dependence in stock return volatility using traditional time and spectral domain estimators of long memory. The definitive ubiquity and existence of long memory in the volatility of stock returns is an established stylized fact. The presence of long memory requires major revisions in the standard estimation procedures without which the estimated results can be seriously biased. Therefore, a wavelet based semi-parametric estimator of long range dependence is applied to test for the presence of long memory in the Indian stock returns and returns volatility. We find the presence of long memory in the volatility of the stock returns as well as the returns themselves, when the analysis is performed using rolling windows. The presence of long-memory implies that distant observations in each of the volatility series are related to each other. This implication leads to the rejection of efficient markets as long range dependence in returns volatility seems to be incompatible with market efficiency.
Author: Gilles Teyssière
Publisher: Springer Science & Business Media
ISBN: 3540346252
Category : Business & Economics
Languages : en
Pages : 394
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Book Description
Assembles three different strands of long memory analysis: statistical literature on the properties of, and tests for, LRD processes; mathematical literature on the stochastic processes involved; and models from economic theory providing plausible micro foundations for the occurrence of long memory in economics.
Author: Thomas Lux
Publisher:
ISBN: 9783931052027
Category :
Languages : en
Pages : 28
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Author: Ben Jacobsen
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
We show that investigation of the return series of indices of five European countries, the United States and Japan rejects the conclusion of long term dependence in these series. The statistic used to establish this result is the 'modified' rescaled range, suggested by Lo (1991). This statistic adjusts the 'classical' rescaled range (introduced by Hurst (1951)) for short term dependence. We also report additional results of a Monte Carlo simulation to determine the empirical size and finite sample distribution of these statistics when the data exhibit so-called volatility clustering. Our simulation evidence indicates that in the presence of short term dependence and volatility clustering the modified and classical rescaled range reject the null hypothesis of no long term dependence too frequently.
Author: Wayne Ferson
Publisher: MIT Press
ISBN: 0262039370
Category : Business & Economics
Languages : en
Pages : 497
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Book Description
An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
Author: Bjørn Espen Eckbo
Publisher: Elsevier
ISBN: 0080488919
Category : Business & Economics
Languages : en
Pages : 559
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Book Description
Judging by the sheer number of papers reviewed in this Handbook, the empirical analysis of firms’ financing and investment decisions—empirical corporate finance—has become a dominant field in financial economics. The growing interest in everything “corporate is fueled by a healthy combination of fundamental theoretical developments and recent widespread access to large transactional data bases. A less scientific—but nevertheless important—source of inspiration is a growing awareness of the important social implications of corporate behavior and governance. This Handbook takes stock of the main empirical findings to date across an unprecedented spectrum of corporate finance issues, ranging from econometric methodology, to raising capital and capital structure choice, and to managerial incentives and corporate investment behavior. The surveys are written by leading empirical researchers that remain active in their respective areas of interest. With few exceptions, the writing style makes the chapters accessible to industry practitioners. For doctoral students and seasoned academics, the surveys offer dense roadmaps into the empirical research landscape and provide suggestions for future work. *The Handbooks in Finance series offers a broad group of outstanding volumes in various areas of finance *Each individual volume in the series should present an accurate self-contained survey of a sub-field of finance *The series is international in scope with contributions from field leaders the world over
