scholarly journals Sentiment and Stock Returns: A Case for Conventional and Islamic equities in Pakistan

2020 ◽  
Vol 12 (3) ◽  
pp. 1-22
Author(s):  
Sana Tauseef
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Principal Component ◽  
Relative Strength ◽  
Firm Level ◽  
Market Sentiment ◽  
Level Data ◽  
Money Flow ◽  
Auto Regression

The study constructs market sentiment index over the period from August 2009 to June 2019 and examines the causality between market sentiment and returns for conventional and Islamic stocks in Pakistan. Using the firm-level data for all stocks listed on Pakistan Stock Exchange, market sentiment index is constructed as the first principal component of six variables: advances-to-decline, premium on dividends, price-to-earnings, relative strength, money flow and turnover rate. We employ the Vector auto-regression model to examine the two-way causal relationship between investor sentiment and aggregate stock return. Our results show that market sentiment has strong predictive power for subsequent conventional stock returns. Sentiment based trading actions of the investors cause persistence in conventional stock returns for one month; however, as these stocks become overpriced, the price movement reverses in two months’ time. In contrast, we do not find any significant association between market sentiment and Islamic stock returns. Our findings are suggestive of different dynamics and investor behavior in Islamic financial markets of Pakistan and along with the existing literature documenting Islamic stocks performance to be at least as good as the conventional stock can be a comfort to the Muslim Investors and may serve as the catalyst to stimulate the growth of Islamic equities.

scholarly journals Investor sentiment by relative strength index and stock return: Empirical evidence on Vietnam's stock market

Accounting ◽  
2021 ◽  
pp. 451-456
Author(s):  
Lai Cao Mai Phuong
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Daily Basis ◽  
Relative Strength ◽  
Least Square ◽  
Trading Behavior ◽  
Strength Index ◽  
Near Term

This article examines how investor sentiment affects stock returns on Vietnam's stock market. Investor sentiment index is measured by a relative strength index (RSI) of 57 companies listed on the Ho Chi Minh Stock Exchange from January 1, 2015 to July 31, 2020. Control variables include investors' stock trading behavior, firm size, and cash flow per share. Using Fama-MacBeth regression estimation and general least square estimation (GSL) on a daily basis, both methods find the sentiment of high investors producing higher stock returns, on the contrary, the sentiment of low investors erodes stock returns. Different from the results of Brown and Cliff (2004) [Brown, G. W., & Cliff, M. T. (2004). Investor sentiment and the near-term stock market. Journal of empirical finance, 11(1), 1-27], the article found that the investor sentiment factor plays the most important role in explaining the return of the stock market compared to the rest of the factors.

scholarly journals Investor sentiment measurement based on technical analysis indicators affecting stock returns: Empirical evidence on VN100

2021 ◽  
Vol 18 (4) ◽  
pp. 297-308
Author(s):  
Lai Cao Mai Phuong ◽  
Vu Cam Nhung
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Risk Premium ◽  
Investor Sentiment ◽  
Price Volatility ◽  
Principal Component ◽  
Technical Analysis ◽  
Relative Strength ◽  
Least Square ◽  
The Impact

The purpose of this study is to examine whether investor sentiment as measured by technical analysis indicators has an impact on stock returns. The research period is from 2015 to mid-2020. 1-year government bond yields, financial data, transaction data of 57 companies in the VN100 basket, and VNIndex are analyzed. The investor sentiment variable is measured by each technical analysis indicator (Relative Strength Index – RSI, Psychological Line Index – PLI), and the general sentiment variable is established based on extracting the principal component from individual indicators. The paper uses two regression methods – Fama-MacBeth and Generalized Least Square (GLS) – for five different research models. The results show that sentiment plays an important role in stock returns in the Vietnamese stock market. Even controlling the factors such as cash flow per share, firm size, market risk premium, and stock price volatility in the studied models, the impact of sentiment is significant in both the model using individual technical indicators and the model using the general sentiment variable. Furthermore, investor sentiment has a stronger power to explain excess stock returns than their trading behavior. The implication from the results shows that the Vietnamese stock market is inefficient, in which psychology is a very important issue and participants need to pay due attention to this factor. AcknowledgmentThis study was funded by the Industrial University of Ho Chi Minh City (IUH), Vietnam (grant number: 21/1TCNH03).

scholarly journals Idiosyncratic volatility, investor sentiment, and returns of the GCC stock markets

2021 ◽  
Vol 18 (4) ◽  
pp. 190-202
Author(s):  
Shah Saeed Hassan Chowdhury
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Markets ◽  
Factor Model ◽  
Investor Sentiment ◽  
Principal Component ◽  
Ordinary Least Squares ◽  
Idiosyncratic Volatility ◽  
Market Sentiment ◽  
Finance Theory

Standard finance theory suggests that idiosyncratic volatility should not influence stock returns. In reality, if investors are unable to achieve efficient diversification, such risk may affect stock returns. The purpose of the study is to examine the presence of idiosyncratic volatility and sentiment in the stock markets of the GCC (Gulf Cooperation Council) countries. Monthly idiosyncratic volatility is estimated using the Fama-French three-factor model. A unified sentiment proxy for each market is created by employing Principal Component Analysis (PCA). Then, Ordinary Least Squares (OLS) regressions are applied. F-statistics, t-statistics, and adjusted R2s are used to test the presence of idiosyncratic volatility and sentiment in the GCC markets.Findings show that the effect of sentiment on stock returns is observed across all the GCC markets. Investor sentiment can weakly explain the effect of idiosyncratic volatility on stock returns. In general, investors do not price expected idiosyncratic volatility, and only the unexpected part of it affects stock returns. Overall, the first implication for investors is that they must consider market sentiment to predict the cross-section of stock prices and should not completely ignore the influence of idiosyncratic volatility on stocks. Secondly, the implication for policymakers is that they should motivate companies to go public so that investors have more options to diversify their portfolios across different sectors.

Do Indian stock market sentiments impact contemporaneous returns?

2018 ◽  
Vol 7 (3) ◽  
pp. 332-346
Author(s):  
Divya Aggarwal ◽  
Pitabas Mohanty
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Temporal Dynamics ◽  
Stock Exchange ◽  
Principal Component ◽  
Stock Index ◽  
Content Type ◽  
Investor Sentiments ◽  
Indian Stock Market ◽  
The Impact

Purpose The purpose of this paper is to analyse the impact of Indian investor sentiments on contemporaneous stock returns of Bombay Stock Exchange, National Stock Exchange and various sectoral indices in India by developing a sentiment index. Design/methodology/approach The study uses principal component analysis to develop a sentiment index as a proxy for Indian stock market sentiments over a time frame from April 1996 to January 2017. It uses an exploratory approach to identify relevant proxies in building a sentiment index using indirect market measures and macro variables of Indian and US markets. Findings The study finds that there is a significant positive correlation between the sentiment index and stock index returns. Sectors which are more dependent on institutional fund flows show a significant impact of the change in sentiments on their respective sectoral indices. Research limitations/implications The study has used data at a monthly frequency. Analysing higher frequency data can explain short-term temporal dynamics between sentiments and returns better. Further studies can be done to explore whether sentiments can be used to predict stock returns. Practical implications The results imply that one can develop profitable trading strategies by investing in sectors like metals and capital goods, which are more susceptible to generate positive returns when the sentiment index is high. Originality/value The study supplements the existing literature on the impact of investor sentiments on contemporaneous stock returns in the context of a developing market. It identifies relevant proxies of investor sentiments for the Indian stock market.

scholarly journals The herding behaviour on Pakistan stock exchange – using firm-level data

2020 ◽  
Vol 10 (1) ◽  
pp. 71
Author(s):  
Attaullah Shah ◽  
Naimat U. Khan ◽  
Fasiha Kiran
Keyword(s):  
Stock Exchange ◽  
Firm Level ◽  
Level Data ◽  
Firm Level Data

scholarly journals The Impact of Investor Sentiment on Return of Different Industries in Pakistan

2017 ◽  
pp. 1-23
Author(s):  
Sumayya Chughtai Et al.,
Keyword(s):  
Stock Returns ◽  
Principle Component Analysis ◽  
Negative Relationship ◽  
Investor Sentiment ◽  
Differential Impact ◽  
Future Period ◽  
Market Sentiment ◽  
Available Information ◽  
The Impact ◽  
The Relationship

We classify stocks in different industries to measure industrial sentiment based on principle component analysis in order to examine whether investor sentiment exerts a differential impact on stock returns across different industries. After having constructed industry-level sentiment indices we construct a composite investor sentiment index. Our results suggest that investor sentiment negatively affects current as well as future stock returns in Pakistan over the examined period. However, we find that the influence of investor sentiment varies substantially across different industries. We also find that the market sentiment index has a negative relationship with both current and future stock returns. We also show that the direction of the relationship between return and sentiment remains same for the current and future period. This indicates that investors overreact to the available information and mispricing exists for a prolonged time. Our results confirm that sentiment driven mispricing persists for upcoming time and stock markets are not fully efficient to adjust instantaneously.

scholarly journals ARE ISLAMIC STOCKS LESS EXPOSED TO SENTIMENT-BASED MISPRICING THAN NON-ISLAMIC ONES? EVIDENCE FROM THE INDONESIAN STOCK EXCHANGE

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Rizqi Umar Al Hashfi ◽  
Ahmad Maulin Naufa ◽  
U’um Munawaroh
Keyword(s):  
Capital Market ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Principal Component ◽  
Equation Model ◽  
Cross Sectional ◽  
Stock Mispricing ◽  
Time Invariant ◽  
Islamic Values

The aim of this research is to verify the role of Islamic value in stock mispricing in the Indonesian capital market. Empirically, high investor sentiment can lead to mispricing on equity appraisal. When investors feel excessively optimistic about their valuation, equity will be overpriced, or vice versa. The presence of Islamic values, such as the prohibition of interest, speculative and uncertain transactions, and excessive leverage, arguably reduce sentiment-based mispricing. Daily and cross-sectional market data were employed. In addition, principal component analysis was conducted to construct a firm-specific investor sentiment variable. With regard to the method, the Hausman-Taylor (H-T) approach was used to deal with heterogeneity, endogeneity, and the time-invariant variable in Fama-MacBeth regression. The results show that our baseline analysis confirms the mispricing of overall stocks. However, Islamic stocks are less exposed to sentiment-based mispricing than their non-Islamic counterparts. The results are consistent with our robustness test, in which we estimate the equation model across industry and portfolio. Finally, our findings imply various insights for both investors and policymakers.

scholarly journals Presence and Sources of Contrarian Profits in the Bangladesh Stock Market

2018 ◽  
Vol 20 (1) ◽  
pp. 84-104
Author(s):  
Shah Saeed Hassan Chowdhury ◽  
Rashida Sharmin ◽  
M Arifur Rahman
Keyword(s):  
Time Series ◽  
Stock Market ◽  
Stock Returns ◽  
Common Factor ◽  
Relative Strength ◽  
Specific Information ◽  
Cross Sectional ◽  
Market Sentiment ◽  
Holding Period ◽  
Momentum Profits

This article, using weekly data for the period 2002 through 2013, investigates the presence of both contrarian and momentum profits and their sources in the Bangladesh stock market. It follows the methodology of Lo and MacKinlay ( Review of Financial Studies, 1990, 3(2), 175–205) to form portfolios with a weighted relative strength scheme (WRSS). The methodology of Jegadeesh and Titman ( Review of Financial Studies, 1995, 8(4), 973–993) is used to decompose the contrarian/momentum profits into three elements: compensation for cross-sectional risk, lead–lag effect in time series with respect to the common factor and the time-series pattern of stock returns. Results provide the evidence of significant contrarian profits for the holding period of one through eight weeks. There is a stronger presence of contrarian profits during 2002–2008 sub-period. The time-series pattern is found to be the main source of contrarian profits, suggesting that idiosyncratic (firm-specific) information is the main contributor to contrarian profits. Interestingly, the influence of idiosyncratic information on such profits has gradually decreased since 2008. Contrarian profits are robust to market sentiment and other systematic risk factors.

The Lead-Lag Relationship between the Stock Market and CDS Market in Korea

2010 ◽  
Vol 18 (4) ◽  
pp. 1-22
Author(s):  
Kwangil Bae ◽  
Hankil Kang ◽  
Changjun Lee
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Empirical Finding ◽  
Sample Analysis ◽  
Firm Level ◽  
Level Data ◽  
Firm Level Data ◽  
Controlling Variables ◽  
Bid Ask Spreads ◽  
Number Of Firms

This study examines the lead-lag relationship between the stock market and CDS market in Korea using the firm-level data during 2006-2009. Our main findings can be summarized as follows. First, our empirical finding shows that stock returns Granger cause CDS spread changes for a larger number of firms than vice versa. Second, the sub-sample analysis reveals that while the stock market leads the CDS market in each sub-sample, the lead-lag relationship is more pronounced in the post-crisis period. Finally, our main findings remain the same even in the presence of controlling variables such as equity volatilities, absolute bid-ask spreads, and CDS premium on foreign exchange stabilization bonds issued by Korean government. In sum, consistent with the U. S. and U. K. evidence, it appears that the stock market leads the CDS market in Korea.

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