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Author: Dr. Rengasamy Elango Publisher: ISBN: Category : Languages : en Pages : 19
Book Description
This paper examines whether the 'January anomaly' or 'seasonality of monthly returns' found in several advanced markets is also found in the fast developing Indian markets. Any anomaly, which includes January anomaly or effect, would enable the investors and speculators to gain abnormal returns. Although the presence of January anomaly defeats the basic premises of the efficient market hypothesis, it has greater implications to design suitable investment strategies in the long run. We use the logarithmic data of the five most important indices of the National Stock Exchange of India (NSE) for the period from 1999 to 2007 and apply a set of selected statistical parameters to examine the presence of anomaly, if any, in the market. Our analytical results indicate the presence of 'January anomaly' in Samp;P CNX Nifty which is the benchmark index of the NSE. Kruskal-Wallis test shows statistically significant differences in monthly returns in respect of three indices while Wilcoxon-Mann-Whitney test reveals statistically significant differences in the month of April, November and December when compared to January returns. Dummy Variable Regression, yet another test applied to investigate the January anomaly, also reveals statistically significant results in monthly returns. Friedman Anova test suggests that seasonality in stock returns is present in the case of only one index, Samp;P Nifty Jr. Our findings corroborate the results of previous evidences documented in the literature. Our investigation further reveals that March and April turn significant negative returns but prove to be the potential months to buy the scrips (buy low); Contrary to this, November and December show significant positive high returns goading us to conclude that these two months are the best period to sell the securities (sell high). Tax-loss selling hypothesis and Accounting-information hypothesis could be the possible explanations for the anomalous behavior of the scrips in the Indian markets. In a nutshell, our results indicate that the Indian markets show evidences of seasonal anomalies and offer enormous opportunities to gain reasonable returns in the long-run.
Author: Dr. Rengasamy Elango Publisher: ISBN: Category : Languages : en Pages : 19
Book Description
This paper examines whether the 'January anomaly' or 'seasonality of monthly returns' found in several advanced markets is also found in the fast developing Indian markets. Any anomaly, which includes January anomaly or effect, would enable the investors and speculators to gain abnormal returns. Although the presence of January anomaly defeats the basic premises of the efficient market hypothesis, it has greater implications to design suitable investment strategies in the long run. We use the logarithmic data of the five most important indices of the National Stock Exchange of India (NSE) for the period from 1999 to 2007 and apply a set of selected statistical parameters to examine the presence of anomaly, if any, in the market. Our analytical results indicate the presence of 'January anomaly' in Samp;P CNX Nifty which is the benchmark index of the NSE. Kruskal-Wallis test shows statistically significant differences in monthly returns in respect of three indices while Wilcoxon-Mann-Whitney test reveals statistically significant differences in the month of April, November and December when compared to January returns. Dummy Variable Regression, yet another test applied to investigate the January anomaly, also reveals statistically significant results in monthly returns. Friedman Anova test suggests that seasonality in stock returns is present in the case of only one index, Samp;P Nifty Jr. Our findings corroborate the results of previous evidences documented in the literature. Our investigation further reveals that March and April turn significant negative returns but prove to be the potential months to buy the scrips (buy low); Contrary to this, November and December show significant positive high returns goading us to conclude that these two months are the best period to sell the securities (sell high). Tax-loss selling hypothesis and Accounting-information hypothesis could be the possible explanations for the anomalous behavior of the scrips in the Indian markets. In a nutshell, our results indicate that the Indian markets show evidences of seasonal anomalies and offer enormous opportunities to gain reasonable returns in the long-run.
Author: Dr. P. Nageswari Sathish Publisher: ISBN: Category : Languages : en Pages : 1
Book Description
Any anomaly, including January Anomaly, would enable the investors and speculators to gain abnormal returns. The presence of January Anomaly defeats the basic premises of the efficient market hypothesis. Besides, it has greater implications for the design of investment strategy in the long run. This paper seeks to find out whether the 'January Anomaly', found in many countries, is also found in the fast developing Indian Markets. The study used the logarithmic data for S&P CNX Nifty and S&P CNX 500 sample indices and applied the Dummy Variable Regression Model from 1st April 2002 to 31st March 2011. It is found that the highest mean return was earned in December and the lowest/ negative mean return earned in January Month for S&P CNX Nifty index. The S&P CNX 500 Index recorded the Highest Mean Return in the Month of March and the Highest Negative Mean Returns in the Month of January. It is found that there was significant difference in the mean returns among the different months of the year. The analytical results of seasonality indicate the absence of January Anomaly during the study period.
Author: Donald B. Keim Publisher: Cambridge University Press ISBN: 9780521571388 Category : Business & Economics Languages : en Pages : 576
Book Description
The study of security market imperfections, namely the predictability of equity stock returns, is one of the fundamental research areas in financial modelling. These anomalies, which are not consistent with existing theories, concern the relation between stock returns and variables, such as firm size and earnings-to-price ratios, and seasonal effects, such as January and turn-of-the-month. This book provides the most complete and current account of work in the area. Leading academics and investment researchers have combined to produce a comprehensive coverage of the subject, including both cross-sectional and time series analyses, as well as discussing the measurement of risk and prediction models that have been used by institutional investors. The studies cover many worldwide markets including the US, Japan, Asia, and Europe. The book will be invaluable for courses in financial engineering, investment and portfolio management, and as a reference for investment professionals seeking an up-to-date source on return predictability.
Author: Wing-Keung Wong Publisher: Mdpi AG ISBN: 9783036530802 Category : Business & Economics Languages : en Pages : 232
Book Description
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.
Author: Wayne Ferson Publisher: MIT Press ISBN: 0262039370 Category : Business & Economics Languages : en Pages : 497
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: Vito Bobek Publisher: BoD – Books on Demand ISBN: 1839684348 Category : Business & Economics Languages : en Pages : 226
Book Description
The rapid growth and development of emerging economies offer both opportunities and threats for international businesses. Understanding the economic development of emerging markets, combined with a knowledge of the increasingly complex international business market, enables better exploitation of opportunities in increasingly competitive world markets. The BRIC countries, the most prominent emerging markets, have long been discovered by foreign firms due to their enormous potential for investment opportunities. This book offers a comprehensive look at emerging markets, especially as they integrate with the global economy. It offers a conceptual framework to analyze emerging markets from multiple perspectives, including those of indigenous entrepreneurs struggling to overcome constraints to build world-class businesses, multinationals from developed countries tapping into emerging markets for their next growth spurt, and domestic and foreign investors seeking to profit from investment opportunities in emerging markets.
Author: Leonard Zacks Publisher: John Wiley & Sons ISBN: 1118127765 Category : Business & Economics Languages : en Pages : 352
Book Description
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.
Author: Andrew Ang Publisher: Now Publishers Inc ISBN: 1601984685 Category : Business & Economics Languages : en Pages : 99
Book Description
The Efficient Market Hypothesis (EMH) asserts that, at all times, the price of a security reflects all available information about its fundamental value. The implication of the EMH for investors is that, to the extent that speculative trading is costly, speculation must be a loser's game. Hence, under the EMH, a passive strategy is bound eventually to beat a strategy that uses active management, where active management is characterized as trading that seeks to exploit mispriced assets relative to a risk-adjusted benchmark. The EMH has been refined over the past several decades to reflect the realism of the marketplace, including costly information, transactions costs, financing, agency costs, and other real-world frictions. The most recent expressions of the EMH thus allow a role for arbitrageurs in the market who may profit from their comparative advantages. These advantages may include specialized knowledge, lower trading costs, low management fees or agency costs, and a financing structure that allows the arbitrageur to undertake trades with long verification periods. The actions of these arbitrageurs cause liquid securities markets to be generally fairly efficient with respect to information, despite some notable anomalies.
Author: Dr. Rengasamy Elango
Author: Dr. Rengasamy Elango
Author: Dr. P. Nageswari Sathish
Author: Donald B. Keim
Author: Wing-Keung Wong
Author: 
Author: Wayne Ferson
Author: Elroy Dimson
Author: Vito Bobek
Author: Leonard Zacks
Author: Andrew Ang