High frequency correlation dynamics and day-of-the-week effect: A score-driven approach in an emerging market stock exchange

2022 ◽  
pp. 102008
Author(s):  
Hulusi Bahcivan ◽  
Cenk C. Karahan
Keyword(s):  
High Frequency ◽  
Stock Exchange ◽  
Emerging Market ◽  
Frequency Correlation ◽  
Day Of The Week

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.

Herd Behaviour: How Decisive is the Noise in the NSE and BSE Stock Markets?

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Paritosh Chandra Sinha
Keyword(s):  
Behavioral Finance ◽  
Stock Markets ◽  
High Frequency ◽  
Stock Exchange ◽  
Time Stamp ◽  
Trade Volume ◽  
Herding Behavior ◽  
Equilibrium Pricing ◽  
Indian Context ◽  
Herd Behaviour

Do investors in the stock markets act/react on true information or noise? Do they believe on their own information or simply herd? The study seeks to explore these typical research queries from the behavioral finance perspectives. In particular, it develops a new theory of herding behavior and extends the models of Banerjee (1992) and Bikhchandani, Hirshleifer, and Welch (1992). The study also empirically tests the same on the Indian context with the high frequency intraday trading data for the real trade-time or time-stamp, trade-volume, and trade-price of ten sample scripts listed for their trading in both markets - the Bombay Stock Exchange (BSE) and the National stock Exchange (NSE). The study contributes to the literature with original findings. It shows that investors in the two Indian stock markets show crowd of positive and negative herding as well significantly and there is huge noise along with information in the markets equilibrium pricing mechanism.

scholarly journals International Equity Portfolios and Currency Hedging: The Viewpoint of German and Hungarian Investors

2002 ◽  
Vol 32 (1) ◽  
pp. 171-197 ◽  
Author(s):  
Gyöngyi Bugár ◽  
Raimond Maurer
Keyword(s):  
Capital Market ◽  
Stock Exchange ◽  
Emerging Market ◽  
Currency Hedging ◽  
Portfolio Strategies ◽  
Different Types ◽  
International Equity ◽  
Good Potential ◽  
Points Of View ◽  
Equity Portfolios

AbstractIn this paper we study the benefits derived from international diversification of equity portfolios from the German and the Hungarian points of view. In contrast to the German capital market, which is one of the largest in the world, the Hungarian Stock Exchange is an emerging market. The Hungarian stock market is highly volatile, high returns are often accompanied by extremely large risk. Therefore, there is a good potential for Hungarian investors to realise substantial benefits in terms of risk reduction by creating multi-currency portfolios. The paper gives evidence on the above mentioned benefits for both countries by examining the performance of several ex ante portfolio strategies. In order to control the currency risk, different types of hedging approaches are implemented.

Creating Value in Small-cap Firms by Mitigating Risks of Market Volatility

2017 ◽  
Vol 21 (4) ◽  
pp. 350-355 ◽  
Author(s):  
Sayantan Khanra ◽  
Sanjay Dhir
Keyword(s):  
Stock Exchange ◽  
Emerging Market ◽  
Market Volatility ◽  
Emerging Market Economies ◽  
Financial Returns ◽  
Market Economies ◽  
Volatility Index

Extant research has explored numerous ideal approaches to predict and anticipate the unpredictability in stocks to mitigate business risks. This article attempts to offer an important insight on creating values in terms of financial returns dodging the risks associated with the market volatility in emerging market economies by exploring the context of National Stock Exchange (NSE), India. The study establishes that Small-cap companies, which are included in NSE Small 100 index, are less inclined to be impacted by the market volatility index (NVIX) compared to the Large-cap companies and Mid-cap companies that are under respective Broad Market Indices. Furthermore, this article examines 64 Small-cap companies, belonging to nine different sectors, to investigate the sector-wise impact of market volatility on Small-cap businesses in India.

Does time-varying illiquidity matter for the Indian stock market? Evidence from high-frequency data

2021 ◽  
pp. 031289622110102
Author(s):  
Mousumi Bhattacharya ◽  
Sharad Nath Bhattacharya ◽  
Sumit Kumar Jha
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
High Frequency ◽  
Jel Classification ◽  
Exogenous Shock ◽  
Intraday Data ◽  
Day Of The Week ◽  
Holiday Effects ◽  
Indian Stock Market ◽  
The Impact

This article examines variations in illiquidity in the Indian stock market, using intraday data. Panel regression reveals prevalent day-of-the-week, month, and holiday effects in illiquidity across industries, especially during exogenous shock periods. Illiquidity fluctuations are higher during the second and third quarters. The ranking of most illiquid stocks varies, depending on whether illiquidity is measured using an adjusted or unadjusted Amihud measure. Using pooled quantile regression, we note that illiquidity plays an important asymmetric role in explaining stock returns under up- and down-market conditions in the presence of open interest and volatility. The impact of illiquidity is more severe during periods of extreme high and low returns. JEL Classification: G10, G12

Conditional stock liquidity premium: is Warsaw stock exchange different?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Szymon Stereńczak
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Stock Exchange ◽  
Emerging Market ◽  
Market Liquidity ◽  
Investment Horizon ◽  
Liquidity Premium ◽  
Stock Liquidity ◽  
Content Type ◽  
Bear Market

Purpose This paper aims to empirically indicate the factors influencing stock liquidity premium (i.e. the relationship between liquidity and stock returns) in one of the leading European emerging markets, namely, the Polish one. Design/methodology/approach Various firms’ characteristics and market states are analysed as potentially affecting liquidity premiums in the Polish stock market. Stock returns are regressed on liquidity measures and panel models are used. Liquidity premium has been estimated in various subsamples. Findings The findings vividly contradict the common sense that liquidity premium raises during the periods of stress. Liquidity premium does not increase during bear markets, as investors lengthen the investment horizon when market liquidity decreases. Liquidity premium varies with the firm’s size, book-to-market value and stock risk, but these patterns seem to vanish during a bear market. Originality/value This is one of the first empirical papers considering conditional stock liquidity premium in an emerging market. Using a unique methodological design it is presented that liquidity premium in emerging markets behaves differently than in developed markets.

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.

Managers ability and investment dynamics during the global financial crisis: an emerging market context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rehana Naheed ◽  
Bushra Sarwar ◽  
Rukhsana Naheed
Keyword(s):  
Global Financial Crisis ◽  
Stock Exchange ◽  
Emerging Market ◽  
Investment Policy ◽  
Managerial Ability ◽  
Content Type ◽  
Crisis Period ◽  
Managerial Talent ◽  
The Impact

Purpose Many scholars have developed several theories and empirics to study issues related to investment policy. However, there are still some unexplored issues in the field of finance that require further analysis and investigation, particularly in the corporate governance literature such as the role of managerial talent in the firms. This study investigated the impact of managerial ability on investment decisions of the firms. Design/methodology/approach The study first uses firm efficiency and managerial ability by using data envelope analysis (DEA) proposed by Demerjian, Lev and McVay, 2012. Data is collected for the firms listed in Shenzhen and Shanghai stock exchange for an emerging market of China during the crisis period with 1,640 number of observations. Findings The study reveals that the presence of more managerial talent in a firm is significant for the strategic decisions of the firms. Findings follow a resource-based view and identify that more talented managers help the firms in the acquisition of resources specifically during financial distress. The study subdivides the firms based on: ownership structures and financial constraints. Results generated from propensity score matching imply that the role of high-talented managers is significantly different from that of low-talented managers. Originality/value The study reveals managerial ability as a determinant of investment policy. To the researchers’ best knowledge, none of the previous studies have been conducted in emerging market literature during the crisis period.

The Determinants of Financial Ratio Disclosures and Quality: Evidence from an Emerging market

2015 ◽  
Vol 1 (1) ◽  
pp. 188 ◽  
Author(s):  
Ben k. Agyei-Mensah
Keyword(s):  
Regression Analysis ◽  
Stock Exchange ◽  
Emerging Market ◽  
Negative Relationship ◽  
Ownership Concentration ◽  
Financial Ratios ◽  
Annual Reports ◽  
Executive Directors ◽  
Financial Ratio

This study investigated the influence of firm-specific characteristics which include proportion of Non-Executive Directors, ownership concentration, firm size, profitability, debt equity ratio, liquidity and leverage on the extent and quality of financial ratios disclosed by firms listed on the Ghana Stock Exchange.The research was conducted through detailed analysis of the 2012 financial statements of  the listed firms.  Descriptive analysis was performed to provide the background statistics of the variables examined.  This was followed by regression analysis which forms the main data analysis.  The results of the extent of financial ratio disclosure level, mean of 62.78%, indicate that most of the firms listed on the Ghana Stock Exchange did not overwhelmingly disclose such ratios in their annual reports.  The results of the low quality of financial ratio disclosure mean of 6.64% indicate that the disclosures failed woefully to meet the International Accounting Standards Board's qualitative characteristics of relevance, reliability, comparability and understandability.The results of the multiple regression analysis show that leverage and return on investment are associated on a statistically significant level as far as the extent of financial ratio disclosure is concerned. Board ownership concentration and proportion of (independent) non-executive directors, on the other hand were found to be statistically associated with the quality of financial ratio disclosed. There is a significant negative relationship between ownership concentration and the quality of financial ratio disclosure.  This means that under a higher level of ownership concentration less quality financial ratios are disclosed. The findings also show that there is a significant positive relationship between board composition (proportion of non-executive directors) and the quality of financial ratio disclosure.  JEL CLASSIFICATION: G3, M1, M2, M4.

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