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Infrequent Rebalancing, Return Autocorrelation, and Seasonality

Infrequent Rebalancing, Return Autocorrelation, and Seasonality
Author: Vincent Bogousslavsky
Publisher:
Total Pages: 45
Release: 2017
Genre:
ISBN:

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A model of infrequent rebalancing can explain specific predictability patterns in the time-series and cross-section of stock returns. First, infrequent rebalancing produces return autocorrelations that are consistent with empirical evidence from intraday returns and new evidence from daily returns. Autocorrelations can switch sign and become positive at the rebalancing horizon. Second, the cross-sectional variance in expected returns is larger when more traders rebalance. This effect generates seasonality in the cross-section of stock returns, which can help explain available empirical evidence.


Stock Return Autocorrelation, Beta, and Data Frequency

Stock Return Autocorrelation, Beta, and Data Frequency
Author:
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN:

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In this thesis, I empirically test the autocorrelation function of stock returns and how the frequency of data affects the measurement of the beta of stock returns. Different data frequencies, from daily to monthly, of stock and market returns from the Center for Research in Security Prices over a 30-year period from 1983 to 2012 are used in the empirical analysis. I find that infrequent rebalancing generates a certain pattern in the autocorrelation function of stock returns and that return autocorrelations can switch sign and become positive. Furthermore, idiosyncratic risk strongly affects the detection of autocorrelation. In addition, the stock beta increases with the measurement time interval. The findings suggest that beta depends heavily on the shape of stock returns' autocorrelation function due to short-term stock reversal.


Financial Transformations Beyond The Covid-19 Health Crisis

Financial Transformations Beyond The Covid-19 Health Crisis
Author: Sabri Boubaker
Publisher: World Scientific
Total Pages: 857
Release: 2022-05-18
Genre: Business & Economics
ISBN: 1800610793

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The COVID-19 global health pandemic, which started in late December 2019, forced many countries to adopt unusual measures such as social distancing and strict lockdowns. It changed many of our certainties and practices, including the foundations of the market-led version of capitalism, by bringing social and health considerations back to the forefront of firms' considerations, investors' strategies and governments' priorities. Under the effects of this unprecedented crisis, all sectors of finance and real economy have been seriously affected.Health uncertainties and their increasing consequences for human life and activities require stronger and faster actions to shape pathways towards sustainability and better resilience. The COVID-19 health crisis is a visible part of a greater iceberg: the World Health Organization has tracked, over recent years, a large number of epidemic events around the world, suggesting that many other similar diseases could appear and evolve in the future from epidemic to pandemic in a globalized world.Financial Transformations Beyond the COVID-19 Health Crisis was specifically designed to provide the readers with new results, recent findings and future outlook on the impacts of COVID-19 on financial markets, firm behaviors, and finance and investment strategies. It favors multidimensional perspectives and brings together conceptual, empirical and policy-oriented chapters, using quantitative and qualitative methods alike. This is a timely and comprehensive collection of theoretical, empirical and policy contributions from renowned scholars around the world, and provides the thoughts and insights required to rethink the financial sector in the event of new shocks of the same nature.


The Cross-section of Stock Returns

The Cross-section of Stock Returns
Author: Stijn Claessens
Publisher: World Bank Publications
Total Pages: 28
Release: 1995
Genre: Rate of return
ISBN:

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The Handbook of Equity Market Anomalies

The Handbook of Equity Market Anomalies
Author: Leonard Zacks
Publisher: John Wiley & Sons
Total Pages: 352
Release: 2011-08-24
Genre: Business & Economics
ISBN: 1118127765

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Investment pioneer Len Zacks presents the latest academic research on how to beat the market using equity anomalies The Handbook of Equity Market Anomalies organizes and summarizes research carried out by hundreds of finance and accounting professors over the last twenty years to identify and measure equity market inefficiencies and provides self-directed individual investors with a framework for incorporating the results of this research into their own investment processes. Edited by Len Zacks, CEO of Zacks Investment Research, and written by leading professors who have performed groundbreaking research on specific anomalies, this book succinctly summarizes the most important anomalies that savvy investors have used for decades to beat the market. Some of the anomalies addressed include the accrual anomaly, net stock anomalies, fundamental anomalies, estimate revisions, changes in and levels of broker recommendations, earnings-per-share surprises, insider trading, price momentum and technical analysis, value and size anomalies, and several seasonal anomalies. This reliable resource also provides insights on how to best use the various anomalies in both market neutral and in long investor portfolios. A treasure trove of investment research and wisdom, the book will save you literally thousands of hours by distilling the essence of twenty years of academic research into eleven clear chapters and providing the framework and conviction to develop market-beating strategies. Strips the academic jargon from the research and highlights the actual returns generated by the anomalies, and documented in the academic literature Provides a theoretical framework within which to understand the concepts of risk adjusted returns and market inefficiencies Anomalies are selected by Len Zacks, a pioneer in the field of investing As the founder of Zacks Investment Research, Len Zacks pioneered the concept of the earnings-per-share surprise in 1982 and developed the Zacks Rank, one of the first anomaly-based stock selection tools. Today, his firm manages U.S. equities for individual and institutional investors and provides investment software and investment data to all types of investors. Now, with his new book, he shows you what it takes to build a quant process to outperform an index based on academically documented market inefficiencies and anomalies.


A Non-Random Walk Down Wall Street

A Non-Random Walk Down Wall Street
Author: Andrew W. Lo
Publisher: Princeton University Press
Total Pages: 449
Release: 2011-11-14
Genre: Business & Economics
ISBN: 1400829097

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For over half a century, financial experts have regarded the movements of markets as a random walk--unpredictable meanderings akin to a drunkard's unsteady gait--and this hypothesis has become a cornerstone of modern financial economics and many investment strategies. Here Andrew W. Lo and A. Craig MacKinlay put the Random Walk Hypothesis to the test. In this volume, which elegantly integrates their most important articles, Lo and MacKinlay find that markets are not completely random after all, and that predictable components do exist in recent stock and bond returns. Their book provides a state-of-the-art account of the techniques for detecting predictabilities and evaluating their statistical and economic significance, and offers a tantalizing glimpse into the financial technologies of the future. The articles track the exciting course of Lo and MacKinlay's research on the predictability of stock prices from their early work on rejecting random walks in short-horizon returns to their analysis of long-term memory in stock market prices. A particular highlight is their now-famous inquiry into the pitfalls of "data-snooping biases" that have arisen from the widespread use of the same historical databases for discovering anomalies and developing seemingly profitable investment strategies. This book invites scholars to reconsider the Random Walk Hypothesis, and, by carefully documenting the presence of predictable components in the stock market, also directs investment professionals toward superior long-term investment returns through disciplined active investment management.


Efficiency and Anomalies in Stock Markets

Efficiency and Anomalies in Stock Markets
Author: Wing-Keung Wong
Publisher: Mdpi AG
Total Pages: 232
Release: 2022-02-17
Genre: Business & Economics
ISBN: 9783036530802

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The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.


Trading Volatility

Trading Volatility
Author: Colin Bennett
Publisher:
Total Pages: 316
Release: 2014-08-17
Genre:
ISBN: 9781461108757

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This publication aims to fill the void between books providing an introduction to derivatives, and advanced books whose target audience are members of quantitative modelling community. In order to appeal to the widest audience, this publication tries to assume the least amount of prior knowledge. The content quickly moves onto more advanced subjects in order to concentrate on more practical and advanced topics. "A master piece to learn in a nutshell all the essentials about volatility with a practical and lively approach. A must read!" Carole Bernard, Equity Derivatives Specialist at Bloomberg "This book could be seen as the 'volatility bible'!" Markus-Alexander Flesch, Head of Sales & Marketing at Eurex "I highly recommend this book both for those new to the equity derivatives business, and for more advanced readers. The balance between theory and practice is struck At-The-Money" Paul Stephens, Head of Institutional Marketing at CBOE "One of the best resources out there for the volatility community" Paul Britton, CEO and Founder of Capstone Investment Advisors "Colin has managed to convey often complex derivative and volatility concepts with an admirable simplicity, a welcome change from the all-too-dense tomes one usually finds on the subject" Edmund Shing PhD, former Proprietary Trader at BNP Paribas "In a crowded space, Colin has supplied a useful and concise guide" Gary Delany, Director Europe at the Options Industry Council


Empirical Asset Pricing

Empirical Asset Pricing
Author: Wayne Ferson
Publisher: MIT Press
Total Pages: 497
Release: 2019-03-12
Genre: Business & Economics
ISBN: 0262039370

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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.