scholarly journals Day-of-the-week effect in Nigerian stock exchange: adaptive market hypothesis approach

2020 ◽  
Vol 17 (1) ◽  
pp. 97-108
Author(s):  
Anthony Olugbenga Adaramola ◽  
Kehinde Oladeji Adekanmbi
Keyword(s):  
Stock Market ◽  
Time Variation ◽  
Stock Exchange ◽  
Market Condition ◽  
Time Varying ◽  
Full Sample ◽  
Day Of The Week ◽  
The Mean ◽  
Autoregressive Conditional Heteroscedasticity ◽  
Over Time

The problems that this study informed are rooted in the uncertainty surrounding the presence of calendar anomalies in the Nigerian stock market and the need to ascertain whether calendar anomaly is changing with time and market condition according to the adaptive market hypothesis. This study evaluates how calendar anomaly behaves over time in the Nigerian stock market through the day-of-the-week effect since the latest trend is to examine time-changing anomaly. The general All Share Index returns of the Nigerian Stock Exchange between 2000 and 2017 are used in the analysis. Secondary daily index returns data for the period are sourced from the NSE Fact Book. The major estimation techniques employed in the study are the mean equations of the generalized autoregressive conditional heteroscedasticity (GARCH) and overlapping sub-period methodology. Moreover, returns are grouped into Up and Down periods depending on the periods that generate positive and negative returns, respectively. This study found out that Monday (MON), Tuesday (TUE), and Friday (FRI) effects are the only adaptive day-of-the-week effects. Thus, three (MON, TUE, FRI) day of the week effects found in the full sample are time-varying in subsample and are affected by market condition. On the whole, MON and Thursday (THUR) effects are found in Bull, while TUE and FRI are found in Bear. The investor must be careful to take time-variation into consideration; otherwise, they may incur a loss by thinking that the day-of-the-week effect is present every time.

Day-of-the-week effect: A sectoral analysis of Pakistan stock exchange

2021 ◽  
pp. 2141006
Author(s):  
Farah Naz ◽  
Kanwal Zahra ◽  
Muhammad Ahmad ◽  
Salman Riaz
Keyword(s):  
Stock Exchange ◽  
Abnormal Returns ◽  
Weak Form ◽  
Investment Strategy ◽  
Ordinary Least Squares ◽  
Financial Decision ◽  
Day Of The Week ◽  
Timing Strategies ◽  
Autoregressive Conditional Heteroscedasticity ◽  
Sector Returns

This study scrutinizes the day-of-the-week effect anomaly in the context of market and industry analysis of the Pakistan stock exchange. For this purpose, daily closing prices of KSE-100, KSE-30, and KSE-All Share Index from January 01, 2009 to December 31, 2018, have been used. Similarly, sector returns are also calculated, taking average log-returns of selected sample firms. To analyze the data ordinary least squares (OLS) regression, general generalized autoregressive conditional heteroscedasticity (GARCH) (1,1) as well as asymmetric threshold GARCH (TGARCH) and exponential GARCH (EGARCH) models have been employed to model the leverage effect of good and bad news on market volatility. The results indicate the evidence of daily seasonality, with significant Monday and Wednesday effect in PSX indices returns as well as in most of the industry returns. Monday is found to be the day with the highest average returns with the highest return volatility. The findings of the study reveal that there exists a weak form of inefficiency in the Pakistan Stock Market, which implies the possibility of earning abnormal returns by investors using timing strategies. In terms of return predictability, this study is essential for international and domestic investors and it may affect their investment strategy and return management. The results might be interesting to the financial experts as they ponder the available conditions in the capital market for financial decision-making. This study is one of its first kind that includes both indices as well as industry returns for analysis of manufacturing industries in Pakistan stock exchange.

scholarly journals Adaptive Market Hypothesis: Evidence from the Vietnamese Stock Market

2019 ◽  
Vol 12 (2) ◽  
pp. 81 ◽  
Author(s):  
Dzung Phan Tran Trung ◽  
Hung Pham Quang
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Ho Chi Minh City ◽  
Stock Exchanges ◽  
Ratio Test ◽  
Time Varying ◽  
Variance Ratio ◽  
Variance Ratio Test ◽  
The Relationship

This paper aims to test the adaptive market hypothesis in the two main Vietnamese stock exchanges, namely Ho Chi Minh City Stock Exchange (HSX) and Hanoi Stock Exchange (HNX), by measuring the relationship between current stock returns and historical stock returns. In particular, the tests employed are the automatic variance ratio test (“AVR”), the automatic portmanteau test (“AP”), the generalized spectral test (“GS”), and the time-varying autoregressive (TV-AR) approach. The empirical results validate the adaptive market hypothesis in the Vietnamese stock market. Furthermore, the results suggest that the evolution of HSX has served as an important factor of the adaptive market hypothesis.

scholarly journals Market Turnover of Nepalese Stock Market

2018 ◽  
Vol 10 (1) ◽  
pp. 96-100
Author(s):  
Baburam Lamichhane
Keyword(s):  
Stock Market ◽  
Research Design ◽  
Stock Exchange ◽  
Securities Market ◽  
Market Condition ◽  
Exchange Market ◽  
Demand And Supply ◽  
Business Studies ◽  
Descriptive Research ◽  
Share Value

Securities market turnover is one of the major behavioral phenomena of stock market. It always depends on the demand and supply of the securities, so the market turnover assumes a number of trading share units, values of share turnover and percentage share value of stocks. This paper is concerned to analyze the different areas of stock units’ turnover and value coverage of stock market .descriptive research design is applied for analyzing the stock market condition. The coverage of share units and share of value weight is analyzed of Nepal stock exchange market economy.The Journal of Nepalese Business Studies Vol. X No. 1 December 2017, Page: 96-100 

scholarly journals Did the Stock Market Regime Change after the Inauguration of the New Cabinet in Japan?

2014 ◽  
Vol 2 (1) ◽  
pp. 98
Author(s):  
Chikashi Tsuji
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Markov Switching ◽  
Sample Period ◽  
Full Sample ◽  
Markov Switching Models ◽  
Switching Models ◽  
Market Regime

This paper explored whether the Japanese stock market regime changed after the inauguration of the new Abe cabinet in Japan. Our application of Markov switching models to the Japanese stock price index returns and examinations of the price spreads in terms of the Japanese stock price indices derive the following evidence. First, (1) after the Abe cabinet started, regime of the Japanese stock markets changed. Second, (2) the regimes as to the JASDAQ Index and Tokyo Stock Exchange (TSE) Mothers Index more strongly and earlier changed than that of TOPIX. Third, (3) in our full sample period from January 4, 2011 to March 20, 2014, average positive price spreads over TOPIX were observed as to the JASDAQ, TSE Mothers, TOPIX Small, and TSE Second Section Index.

Day Of The Week And Its Effect On Stock Market Volatility: Evidence From An Emerging Market

2013 ◽  
Vol 29 (6) ◽  
pp. 1727 ◽  
Author(s):  
Omar Farooq ◽  
Mohammed Bouaddi ◽  
Neveen Ahmed
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Emerging Market ◽  
International Markets ◽  
Conditional Variance ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Foreign Investors ◽  
High Volatility ◽  
Day Of The Week

This paper investigates the day of the week effect in the volatility of the Saudi Stock Exchange during the period between January 7, 2007 and April 1, 2013. Using a conditional variance framework, we find that the day of the week effect is present in the volatility. Our results show that the lowest volatility occurs on Saturdays and Sundays. We argue that due to the closure of international markets on Saturdays and Sundays, there is not enough activity in the Saudi Stock Exchange. As a result, the volatility is the lowest on these days. Our results also show that the highest volatility occurs on Wednesdays. We argue Wednesday, being the last trading day of the week, corresponds with the start of four non-trading days (Thursday through Sunday) for foreign investors. Fearing that they will be stuck up with stocks in case some unfavorable information enters the market, foreign investors tend to exit the market on Wednesdays. As a result of excessive trading, there is high volatility on Wednesdays.

scholarly journals Against the Herd: Contrarian Investment Strategies on the Johannesburg Stock Exchange

2014 ◽  
Vol 6 (2) ◽  
pp. 120-129
Author(s):  
Prince K. Sarpong
Keyword(s):  
South Africa ◽  
Stock Market ◽  
Mutual Funds ◽  
Opposite Direction ◽  
Mutual Fund ◽  
Stock Exchange ◽  
Superior Performance ◽  
Johannesburg Stock Exchange ◽  
Herd Behaviour ◽  
Over Time

This study seeks to investigate herd behaviour among equity mutual fund managers and the performance of mutual funds that trade against the herd in South Africa. The behaviour of mutual funds has an effect on the stability and volatility of stock markets, the ultimate returns to the investors. The study builds upon the efficient market hypothesis, portfolio theory and behavioural finance to provide evidence of the behaviour of mutual funds in an emerging market context using the Johannesburg Stock Exchange. The Lakonishok, Shleifer and Vishney (1991) measure of herding is used to ascertain the behaviour of mutual funds over the period 2006 to 2012. Institutional investors in South Africa are susceptible to the behavioural bias of herding and this phenomenon influences the performance of their funds. Funds that trade in the opposite direction of herd funds are able to put up a superior performance over time. Superior performance, however, does not entice mutual fund investors to invest less in under-performing funds and more in funds that recently show superior performance. These findings imply that following investment waves does not culminate in superior returns in the stock market. Consequently, mutual funds that take an opposite direction to herd funds help stabilize the stock market and lessen the severity of bear markets. This study categorizes mutual funds into ‘herding’ and ‘contrarian’ and provides an insight into the performance of each category. Investors who oppose herd behaviour realize greater returns over time while stabilizing the markets at the same time.

Inter-relationship between performance of Bursa Malaysia and foreign stock markets

2006 ◽  
Vol 3 (1) ◽  
pp. 113
Author(s):  
T. Chantrathevi P. Thuraisingam ◽  
You Hoo Tew ◽  
Dalila Daud
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Exchange ◽  
Composite Index ◽  
Asian Financial Crisis ◽  
Moderate Correlation ◽  
Crisis Period ◽  
Dow Jones Industrial Average ◽  
Daily Returns ◽  
Over Time

This paper explores the general perception that the Malaysian stock market is influenced by leading overseas stock markets. Employing correlation analysis comparison was made between the performance ofBiirsa Malaysia's Composite Index and six stock market indices namely Straits Times Index, Hang Seng Index, Nikkei 225 Stock Average, Australia All Ordinaries Index, Dow Jones Industrial Average Index and Financial Times 100 Index. This study also seeks to determine ifthere is any significant stability ofcorrelations over time. These indices were studied over a period offifteen years from I January 1990 to 31 December 2004, beginning with the cessation oftrading ofMalaysian shares on the Singapore stock exchange, which is synonymous with the pre-Asian financial crisis period, the crisis period and a post crisis period of almost five years. The study found that the, daily returns of the Composite Index over the period is positively co-related with the foreign indices indicating that the markets were moving in the same direction, in other words there is interdependency between the stock markets. However, the low to moderate correlation refutes the belief that the Malaysian stock market is influenced by the performance ofthe major stock markets. The study also found that generally the correlations are unstable over lime.    

scholarly journals Time variation in the size of the multiplier: a Kalecki–Harrod approach

2019 ◽  
Vol 7 (1) ◽  
pp. 28-42 ◽  
Author(s):  
Mark Setterfield
Keyword(s):  
Time Variation ◽  
Slow Growth ◽  
Dynamic Theory ◽  
Investment Decision ◽  
Empirical Literature ◽  
Time Varying ◽  
Over Time

A growing empirical literature demonstrates that the size of the expenditure multiplier varies over time, being both larger and consistently greater than one during periods of slow growth and/or recession. This paper contributes to the theory of the time-varying multiplier. It is shown that a combination of Kalecki's dynamic theory of investment and Harrod's ‘satisficing’ approach to the investment decision furnish a theory in which the ‘crowding in’ of investment expenditures following an initial demand stimulus gives rise to an elevated expenditure multiplier during times of pronounced macroeconomic distress.

scholarly journals The Volatility Effect of Single-Stock Futures Trading on the Pakistani Stock Market

2013 ◽  
Vol 2 (1) ◽  
pp. 65-93
Author(s):  
Adil Awan ◽  
Amir Rafique
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Spot Market ◽  
Market Volatility ◽  
Time Varying ◽  
Futures Trading ◽  
F Test ◽  
Single Stock Futures ◽  
The Impact ◽  
Econometric Technique

The impact of single-stock futures on spot market volatility is still debated in the finance literature. The aim of this study is to analyze the effect of the introduction of single-stock futures on the volatility of the Karachi Stock Exchange (KSE). We examine changes in the level of volatility and structure after the introduction of single-stock futures, evaluating 24 companies listed on the KSE. The study applies the F-test to determine differences in variance as a traditional measure for volatility and uses GARCH (1,1) as an econometric technique for detecting time-varying volatility. The results show that there is no effect on the volatility level but that changes occur in the structure of volatility after stock futures trading.

scholarly journals Short Term Performance Analysis of IPOs in India

2018 ◽  
Vol 8 (11) ◽  
pp. 392-403
Author(s):  
Naveen Ramesh Yadav ◽  
Hirak Dasgupta ◽  
Rashmy Moray
Keyword(s):  
Performance Analysis ◽  
Stock Market ◽  
Stock Exchange ◽  
Short Term ◽  
Important Conclusion ◽  
The Mean ◽  
Indian Stock Market ◽  
Term Performance ◽  
Relative Valuation ◽  
Year 2013

The research is aimed at the short term IPO returns that are issued on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE). The evaluation of IPO is done on the basis of the returns generated on the day of issue, 10 and 30 days after the day of issue. The significance of this paper can be realized from the fact whether the return generated in short term in comparison to the market are more or less i.e. the IPO has outperformed the index as a benchmark. The study includes a sample of 28 IPO’s issued from the year 2013 to 2015. The results showed that the mean % performance of IPO on the day of issue, 10 and 30 days after the day of issue is 9%, 10% and 10% respectively for NSE and 8%, 9% and 14% respectively for BSE. The above results are also supported with relative valuation index which thus brings us to a very important conclusion that the Indian Stock market provides significant returns within 30 days from the date of issue of share.

Sign in / Sign up

Export Citation Format

Share Document