Conditional multifactor asset pricing model and market anomalies

2013 ◽  
Vol 5 (4) ◽  
pp. 271-294 ◽  
Author(s):  
Saumya Ranjan Dash ◽  
Jitendra Mahakud
Keyword(s):  
Stock Market ◽  
Size Effect ◽  
Investment Strategy ◽  
Momentum Effect ◽  
Market Anomalies ◽  
Cross Sectional ◽  
Content Type ◽  
Short Run ◽  
The Cross ◽  
Indian Stock Market

Purpose – The purpose of this paper is to investigate the firm-specific anomaly effect and to identify market anomalies that account for the cross-sectional regularity in the Indian stock market. The paper also examines the cross-sectional return predictability of market anomalies after making the firm-specific raw return risk adjusted with respect to the systematic risk factors in the unconditional and conditional multifactor specifications. Design/methodology/approach – The paper employs first step time series regression approach to drive the risk-adjusted return of individual firms. For examining the predictability of firm characteristics on the risk-adjusted return, the panel data estimation technique has been used. Findings – There is a weak anomaly effect in the Indian stock market. The choice of a five-factor model (FFM) in its unconditional and conditional specifications is able to capture the book-to-market equity, liquidity and medium-term momentum effect. The size, market leverage and short-run momentum effect are found to be persistent in the Indian stock market even with the alternative conditional specifications of the FFM. The results also suggest that it is naï argue for disappearing size effect in the cross-sectional regularity. Research limitations/implications – Constrained upon the data availability, certain market anomalies and conditioning variables cannot be included in the analysis. Practical implications – Considering the practitioners' prospective, the results indicate that the profitable investment strategy with respect to the small size effect is still persistent and warrants close-ended mutual fund investment portfolio strategy for enhancing the long-term profitability. The short-run momentum effect can generate potential profits given a short-term investment horizon. Originality/value – This paper provides the first-ever empirical evidence from an emerging stock market towards the use of alternative conditional multifactor models for the complete explanation of market anomalies. In an attempt to analyze the anomaly effect in the Indian stock market, this paper provides further evidence towards the long-short hedge portfolio return variations in terms of a wide set of market anomalies that have been documented in prior literature.

Momentum anomaly: evidence from the Indian stock market

2017 ◽  
Vol 14 (1) ◽  
pp. 3-22 ◽  
Author(s):  
Supriya Maheshwari ◽  
Raj Singh Dhankar
Keyword(s):  
Stock Market ◽  
Trading Volume ◽  
Investment Strategy ◽  
Momentum Effect ◽  
Momentum Strategies ◽  
Content Type ◽  
Momentum Profits ◽  
The Usa ◽  
Short Run ◽  
Indian Stock Market

Purpose The purpose of this paper is to provide insights into the profitability of momentum strategies in the Indian stock market. This study further evaluates whether the momentum effect is a manifestation of size, value or an illiquidity effect. Design/methodology/approach Monthly stock return data of 470 BSE listed stocks over the sample period from January 1997 to March 2013 were used to create extreme portfolios (winner and loser). The returns of extreme portfolios were evaluated using t-statistics and a risk-adjusted measure. Further checks were imposed by controlling for other potential sources of risk including size, value and illiquidity. Findings The study provides support in favor of momentum profitability in the Indian stock market. In contrast to the literature, momentum profitability is driven by winning stocks, and hence, buying past winning stocks generates higher returns than shorting loosing stocks in the Indian stock market. Strong momentum profits were observed even after controlling for size, value and trading volume of stocks. This suggests that the momentum effect in the Indian stock market is not a manifestation of small size effect, value effect or an illiquidity effect. Practical implications From the practitioner’s perspective, the study indicates that a momentum-based investment strategy in the short run is still persistent and can generate potential profits in the Indian stock market. Originality/value There is little empirical evidence on the momentum profitability, especially in the Indian stock market. The study contributes toward the literature by analyzing the momentum profitability even after controlling for size, value and an illiquidity effect. Some aspects of the momentum effect were observed to be dissimilar from those observed in literature for the USA and other countries. Such findings justify the need for testing the momentum profitability in stock markets other than the USA.

The cross-section of Johannesburg Securities Exchange listed equity returns (1994-2011)

2015 ◽  
Vol 32 (4) ◽  
pp. 422-444 ◽  
Author(s):  
Jakobus Daniel Van Heerden ◽  
Paul Van Rensburg
Keyword(s):  
Cross Section ◽  
Equity Returns ◽  
Research Approach ◽  
Momentum Effect ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
Specific Factors ◽  
The Cross ◽  
The Impact

Purpose – The aim of this study is to examine the impact of technical and fundamental (referred to as firm-specific) factors on the cross-sectional variation in equity returns on the Johannesburg Securities Exchange (JSE). Design/methodology/approach – To reach the objective, the study follows an empirical research approach. Cross-sectional regression analyses, factor-portfolio analyses and multifactor analyses are performed using 50 firm-specific factors for listed shares over three sample periods during 1994 to 2011. Findings – The results suggest that a strong value and momentum effect is present and robust on the JSE, while a size effect is present but varies over time. Multifactor analyses show that value and momentum factors are collectively significant in explaining the cross-section of returns. The results imply that the JSE is either not an efficient market or that current market risk models are incorrectly specified. Practical implications – The findings of the study offers practical application possibilities to investment analysts and portfolio managers. Originality/value – To the authors’ knowledge, this is the first study to use such a comprehensive data set for the specific analyses on the JSE over such a long period. All previously identified statistical biases are addressed in this study. Different approaches are applied to compare results and test for robustness for the first time.

An empirical study on the dynamic relationship between oil prices and Indian stock market

2014 ◽  
Vol 40 (2) ◽  
pp. 200-215 ◽  
Author(s):  
Tarak Nath Sahu ◽  
Kalpataru Bandopadhyay ◽  
Debasish Mondal
Keyword(s):  
Stock Market ◽  
Error Correction ◽  
Oil Prices ◽  
Granger Causality Test ◽  
Oil Price ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Indian Stock Market

Purpose – This study aims to investigate the dynamic relationships between oil price shocks and Indian stock market. Design/methodology/approach – The study used daily data for the period starting from January 2001 to March 2013. In this study, Johansen's cointegration test, vector error correction model (VECM), Granger causality test, impulse response functions (IRFs) and variance decompositions (VDCs) test have been applied to exhibit the long-run and short-run relationship between them. Findings – The cointegration result indicates the existence of long-term relationship. Further, the error correction term of VECM shows a long-run causality moves from Indian stock market to oil price but not the vice versa. The results of the Granger causality test under the VECM framework confirm that no short-run causality between the variables exists. The VDCs analysis revealed that the Indian stock markets and crude oil prices are strongly exogenous. Finally, from the IRFs, analysis revealed that a positive shock in oil price has a small but persistence and growing positive impact on Indian stock markets in short run. Originality/value – The study would enhance the understandings of the interaction between oil price volatilities and emerging stock market performances. Further, the study would enable foreign investors who are interested in Indian stock market helps in understanding the conditional relationship between the variables.

Aversion of information ambiguity and momentum effect in China’s stock market

2016 ◽  
Vol 6 (2) ◽  
pp. 125-149 ◽  
Author(s):  
Yuandong Xu
Keyword(s):  
Stock Market ◽  
Empirical Studies ◽  
Information Uncertainty ◽  
Momentum Effect ◽  
Cross Sectional ◽  
Content Type ◽  
Concept Hierarchy ◽  
Financial Anomalies ◽  
Information Ambiguity ◽  
Concept Of Information

Purpose – The empirical studies have indicated that the information uncertainty is one of the reasons leading to the momentum effect in the stock market. Based on this conclusion, the concept of “information uncertainty” is deepened into the concept hierarchy of “information ambiguity,” the purpose of this paper is to explain the momentum effect in the China’s stock market from information ambiguity. Design/methodology/approach – Based on the information ambiguity, the paper puts forward two hypotheses, portfolio analysis and cross-sectional regression analysis method were used to empirically test these hypothesis based on the weekly data. Findings – The empirical results support the two hypotheses. Originality/value – Finally, the paper discusses the importance from ambiguity to understand financial anomalies, such as momentum effect.

Impact of herding on the returns in the Indian stock market: an empirical study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sunaina Kanojia ◽  
Deepti Singh ◽  
Ashutosh Goswami
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Market Condition ◽  
Individual Investors ◽  
Herd Behavior ◽  
Market Conditions ◽  
Absolute Deviation ◽  
Cross Sectional ◽  
Content Type ◽  
Indian Stock Market

PurposeHerd behavior has been studied herein and tested based on primary respondents from Indian markets.Design/methodology/approachThe paper expounds the empirical evidence by applying the cross-sectional absolute deviation method and reporting on herd behavior among decision-makers who are engaged in trading in the Indian stock market. Further, the study attempts to analyze the market-wide herding in the Indian stock market using 2230 daily, 470 weekly and 108 monthly observations of Nifty 50 stock returns for a period of nine years from April 1, 2009 to March 31, 2018 during the normal market conditions, extreme market conditions and in both increasing and decreasing market conditions.FindingsIn a span of a decade witnessing different market cycles, the authors’ results exhibit that there is no evidence of herding in any market condition in Indian stock market primarily due to the dominance of institutional investors and secondly because of low market participation by individual investors.Originality/valueThe results reveal that there is no impact of herd behavior on the stock returns in the Indian equity market during the normal market conditions. It highlights that the participation of individuals who are more prone to herding is more evident for short-run investments, contrary to long-term holdings.

Size Effect in Indian Stock Market: Some Empirical Evidence

2005 ◽  
Vol 9 (4) ◽  
pp. 27-42 ◽  
Author(s):  
Sanjay Sehgal ◽  
Vanita Tripathi
Keyword(s):  
Stock Market ◽  
Size Effect ◽  
Investment Strategy ◽  
Informational Efficiency ◽  
Enterprise Value ◽  
Size Premium ◽  
Fixed Assets ◽  
Alternative Measures ◽  
Small Investors ◽  
Indian Stock Market

In this study we attempt to test if there is a size effect in Indian stock market. The data relates to the top 482 Indian companies for the period 1990–2003. We find a strong size premium using six alternative measures of company size, viz., Market Capitalization, Enterprise Value, Net Fixed Assets, Net Annual Sales, Total Assets and Net Working Capital. Further the size based investment strategy seems to be economically feasible as it provides extra normal returns on risk adjusted basis. Frequent rebalancing of size based portfoilo is however found to be undesirable. The size effect does not seem to be owing to any seasonality or business cycle factors. The study has strong implications for mutual funds managers, investment analysts as well as small investors who are continuously on the lookout for trading strategies that beat the market. The presence of a strong size premium also raises doubts about the informational efficiency of Indian equity market.

Cross-herding behavior between the stock market and the crude oil market during financial distress

2018 ◽  
Vol 44 (4) ◽  
pp. 439-458 ◽  
Author(s):  
Houda BenMabrouk
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Investor Sentiment ◽  
Market Volatility ◽  
Herding Behavior ◽  
Absolute Deviation ◽  
Cross Sectional ◽  
Content Type ◽  
Oil Market ◽  
The Cross

Purpose The purpose of this paper is to investigate herding behavior around the crude oil market and the stock market and the possible cross-herding behavior between the two markets. The analysis examines also the herding behavior during financial turmoil and includes the investor sentiment and market volatility. Design/methodology/approach The authors use a modified version of the cross-sectional standard deviation and the cross-sectional absolute deviation to include investor sentiment, financial crisis and market volatility. Findings The authors find that the volatility of the stock market reduces the herding behavior around the oil market and boosts that around the stock market. However, the investors’ sentiment reduces the herding around the stock market and boosts that around the crude oil market. Consequently, the authors can conclude that the herding behavior around the two markets moves inversely and the herding in each market is enhanced by the lack of information in the other market. Research limitations/implications This paper is limited to the herding of stocks around the crude oil market and ignores the possible herding of commodities around the oil market. Originality/value The originality of the paper rests on the study of the possible cross-herding behavior between the oil market and the stock market especially during financial turmoil.

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