scholarly journals AN ANALYSIS OF VALUE STOCKS IN INDIAN EQUITY MARKET IN 2020

2021 ◽  
Vol 11 (12) ◽  
Author(s):  
Chaya R ◽  
Sharada Devi K G
Keyword(s):  
2018 ◽  
Vol 15 (3) ◽  
pp. 267-282 ◽  
Author(s):  
Mukail Aremu Akinde ◽  
Eriki Peter ◽  
Ochei Ailemen Ikpefan

The empirical evidence in the developed equity markets such as the United States, the United Kingdom, Germany, Japan and emerging markets had pronounced that there are institutional and individual investors’ cognitive psychology and mental biases in favor of the Growth Stocks, that is, the Growth Stocks are always preferred to the Value Stocks by the investors. The investors most times prefer the Growth Stocks to the Value Stocks irrespective of the stock fundamentals behavior in the equity market. The paper investigated whether Cognitive Psychology and Mental biases affect Portfolio Selection strategies using the Growth or the Value Stocks investment styles in the Nigerian Stock Market. In the study, the summary of the primary data was described and Multinomial Logistic Regression (MLR) models were adopted to make inferential decisions. The paper collected primary data through questionnaire administered to individual and institutional investors on the floor of Nigeria Stock Exchange (NSE). The findings from the analyses conducted confirmed a strong existence of Cognitive Psychology and mental biases in favor of the Growth Stocks in the Nigerian Equity Market. Investors had more belief in Growth Stocks than the Value Stocks notwithstanding the behavior of the market fundamentals. The study recommended that investors should seriously consider occurrences and performance fundamentals in Portfolio Selection in the Nigerian Equity Market.


2019 ◽  
Vol 16 (3) ◽  
pp. 62-75 ◽  
Author(s):  
Shilpa Peswani ◽  
Mayank Joshipura

The portfolio of low-volatility stocks earns high risk-adjusted returns over a full market cycle. The annual alpha spread of low versus high-volatility quintile portfolios is 25.53% in the Indian equity market for the period from January 2000 to September 2018. The low-volatility (LV) effect is not an overlap of other established factors such as size, value or momentum. The effect persists across various size buckets (market capitalization). The performance of the low-volatility effect within various size buckets is analyzed using three different portfolio formation methods. Irrespective of the method of portfolio construction, the low-volatility effect exists and it also generates economically and statistically significant risk-adjusted returns. The long-short portfolios across the study deliver exceptionally high and statistically significant returns accompanied by negative beta. The low-volatility effect is not restricted to small or illiquid stocks. The effect delivers the highest risk-adjusted returns for the portfolio consisting of largecap stocks. Though the returns of the portfolio comprising of large-cap LV stocks are lower than the returns of the portfolio comprising of small-cap LV stocks, its Sharpe ratio is higher because of less risky nature of large-cap stocks as compared to small-cap stocks. The LV portfolio majorly comprises of large-cap, growth and winner stocks. But within size buckets, large-cap and mid-cap low LV picks growth and winner stocks, while small-cap LV picks value stocks.


2017 ◽  
Vol 30 (01) ◽  
pp. 73-88
Author(s):  
Pradip Banerjee ◽  
Soumya G. Deb

Purpose This paper investigates whether a simple accounting information-based fundamental analysis strategy could identify winners from losers within a portfolio of high book-to-market (value) stocks, over the last decade in the Indian equity market, where historically, information disclosure and transparency levels have been on the lower side. Design/methodology/approach Using a sample of ‘value’ firms, the authors formulate an ‘F-score’ for each firm as the sum of binary signals (favourable and unfavourable), with respect to nine key variables. The authors then form ten equal size F-score portfolios within the value band for each year, and track the performance of robust high F-score firms vis-à-vis that of weaker low F-score firms. Findings The study highlights that the historical success of a value strategy, in general, relies on the strong performance of a few firms while ‘tolerating the poor performance of many deteriorating companies’ within the broad value group and shows that firms with strong fundamentals within the value group outperform their less robust counterparts, based on absolute as well as risk adjusted measures. Practical implications The results of the study show that strong performers can indeed be distinguished from underperformers within the broad category of value stocks. This can have significant implications for investors at large in the Indian equity market. Originality/value The study suggests an approach to identify potential winners within a broad ‘value’ portfolio using an array of accounting information, even in a relatively less transparent Indian equity market.


2015 ◽  
Vol 18 (03) ◽  
pp. 1550014 ◽  
Author(s):  
Tian Yuan ◽  
Rakesh Gupta ◽  
Robert J. Bianchi

This study examines the pre-holiday effect in the Chinese stock market. It provides new insights into the weak-form efficiency of China's equity market indexes. Using the GARCH (1,1) model, we find the pre-holiday effect in broad-based Chinese stock returns and in size, value and growth style indexes. Further analysis using a GARCH (1,1)-M model suggests that the pre-holiday effect at both market and industry/sector levels can be attributed to time-varying risk. We show the pre-holiday effect reflects abnormal returns in small-cap, large-cap and growth style indexes while this same effect reflects compensation for bearing risk in value stocks.


CFA Magazine ◽  
2011 ◽  
Vol 22 (3) ◽  
pp. 10-10
Author(s):  
Osman Ghani
Keyword(s):  

CFA Digest ◽  
2012 ◽  
Vol 42 (1) ◽  
pp. 9-11
Author(s):  
Keith Joseph MacIsaac

2008 ◽  
Author(s):  
Kee-Hong Bae ◽  
Vidhan K. Goyal ◽  
Angela Ng

Sign in / Sign up

Export Citation Format

Share Document