An Inquiry into the Persistence of Turn-of-the-Month Effect on Stock Markets in India: Insights and Perspectives on a Seasonal Anomaly

2021 ◽  
pp. 227853372199471
Author(s):  
Meher Shiva Tadepalli ◽  
Ravi Kumar Jain ◽  
and Bhimaraya A. Metri
Keyword(s):  
Stock Market ◽  
Capital Markets ◽  
Stock Markets ◽  
Stock Exchange ◽  
Academic Research ◽  
Abnormal Returns ◽  
Stock Exchanges ◽  
Specific Class ◽  
Seasonal Behavior ◽  
Global Stock Markets

Asset pricing in capital markets is a strikingly vibrant area of academic research and is considered as an indicator to evaluate the efficiency of stock markets. Though the explanation for the seasonal behavior of capital markets was attempted by various market models, several anomalies were observed historically. Calendar anomalies that belong to the specific class of seasonal anomalies provided abnormal returns in the global stock markets at regular intervals within and across various calendar years. This article documents the study on one such anomaly—namely, the turn-of-the-month effect in the context of Indian stock indices. In this pursuit, exhaustive research has been carried out considering all the broad-market and sectoral indices of two major stock exchanges, namely, National Stock Exchange and the Bombay Stock Exchange. The study used the ARIMAX methodology with dummy exogenous variables (to represent the turn-of-the-month days) and presented comprehensive findings and learnings. Besides, this article attempts to analyze the changes in the strength and significance of the anomaly in progression with various stock market reforms in both the broad-market and sectoral indices to provide new insights into the efficiency of Indian stock market exchanges.

An Inquiry into the Persistence of Holiday Effect on Stock Markets in India: Insights and Perspectives on a Seasonal Anomaly

2021 ◽  
pp. 231971452110168
Author(s):  
Meher Shiva Tadepalli ◽  
Ravi Kumar Jain ◽  
Bhimaraya Metri
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Stock Exchanges ◽  
Indian Market ◽  
Pricing Models ◽  
Market Anomalies ◽  
Holiday Effect ◽  
Stock Market Efficiency

Asset pricing is a key area of literature in analysing and evaluating the stock market efficiency. Though various pricing models made efforts to explain the behaviour of the stocks, the existence of seasonal anomalies in the stock markets creates an opportunity for the investors to generate abnormal returns. The present article emphasizes one of such market anomalies namely, the holiday effect using indices belonging to Indian stock exchanges. Thorough research is performed by including all the prime market-capital and sectoral indices of the National Stock Exchange and the Bombay Stock Exchange. The ARIMAX methodology is adopted to observe the anomaly by considering exogenous variables representing the trading days before the exchange-mandated holidays. Further, the strength of the anomaly is analysed with the incorporation of various stock market reforms and observed to be significantly persistent among most of the Indian market indices (including both the sectoral and the market-capital based indices).

scholarly journals Influence of world stock markets on the development of the stock market in Ukraine

2021 ◽  
Vol 18 (4) ◽  
pp. 223-240
Author(s):  
Inna Shkolnyk ◽  
Serhiy Frolov ◽  
Volodymyr Orlov ◽  
Viktoriia Dziuba ◽  
Yevgen Balatskyi
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Mutual Influence ◽  
Stock Exchanges ◽  
World Federation ◽  
Pairwise Correlation ◽  
Stock Market Performance ◽  
The Us ◽  
The World ◽  
Global Stock Markets

Viewing the development of the stock market in Ukraine, the economy, which world financial organizations characterize as small and open, is largely determined by the trends formed by the global stock markets and leading stock exchanges. Therefore, the study aims to analyze Ukraine’s stock market, the world stock market, stock markets in the regions, and to assess their mutual influence. The study uses the data of the World Federation of Exchanges and National Securities and Stock Market Commission (Ukraine) from 2015 to 2020. Stock market performance forecasts are built using triple exponential smoothing. Based on pairwise correlation coefficients, the existence of a significant dependence in the development of the world stock market on the development of the American stock market was determined. Regarding the Ukrainian stock exchanges, only SE “PFTS” demonstrated its dependence on the US stock market. The results of the regression model based on an exponentially smoothed series of trading volumes in all markets showed that variations in the volume of trading on the world stock market are due to the situation on the US stock markets. Trading volume dynamics on Ukrainian stock exchanges such as SE “PFTS” and SE “Perspektiva” is almost 50% determined by the development of stock markets in the American region. Although Ukraine is geographically located in Europe, the results show a lack of significant links and the impacts of stock markets in this region on the major Ukrainian stock exchanges and the stock market as a whole.

Volatility of Indian Stock Market: An Emperical Evidence

2008 ◽  
Vol 4 (4) ◽  
pp. 53-61 ◽  
Author(s):  
Aman Srivastava
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Exchange ◽  
Stock Exchanges ◽  
Garch Models ◽  
Indian Stock Market ◽  
Class Models

The purpose of this paper is to apply the GARCH-class models to two major stock exchanges of Indian stock markets. The study includes main indices of Bombay Stock Exchange (SENSEX) and that of National stock exchange (NIFTY). GARCH-class models have been applied to analyze the characteristics of the volatility of Indian stock market. The findings suggest that both the Indian stock exchanges have significant ARCH effects and it is appropriate to use ARCH/GARCH models to estimate the process and also demonstrated that there are leverage effects in the markets. That means the investors in those markets are not grown well and they will be heavily influenced by information (good or bad) very easily.

The First Balkan War and the St. Petersburg Stock Exchange

2020 ◽  
Vol 2020 (11-1) ◽  
pp. 40-55
Author(s):  
Pavel Lizunov
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Exchange ◽  
The State ◽  
Stock Exchanges ◽  
The Balkans ◽  
Military Conflicts ◽  
State Of Affairs ◽  
European Stock Markets

The article shows the reaction of European stock markets and, first of all, the St. Petersburg Stock Exchange to the First Balkan War. Stock market reports demonstrated that stock exchanges were sensitive to any troubling economic, political and military conflicts. Their mood changed depending on hostilities, rumors and false reports about the state of affairs in the Balkans.

Analyzing Variations in Global Stock Markets

2015 ◽  
Vol 9 (1and2) ◽  
Author(s):  
Ms. Sakshi Saxena ◽  
Ms. Pranjali Sharma
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Markets ◽  
Developed Countries ◽  
Asia Pacific ◽  
Stock Exchanges ◽  
Political Events ◽  
Time Period ◽  
Significant Difference ◽  
Global Stock Markets

Fluctuations in financial markets have always been the subject of concern for academicians and practioners. Wide price fluctuations are a daily occurrence on the world's stock markets as investors react to economic, business, and political events. The soaring stock prices around the globe have taken valuations of stocks to unreachable heights. The present study is an attempt to analyse the volatility present in stock markets of Asia Pacific region and other developed countries. Data for the time period 2005-2013 has been collected to analyse the same. Coefficient of variation, Ttest and GARCH (1, 1) model has been used to investigate the variations in the stock markets. The results support the fact that there is no significant difference in volatility between stock exchanges within specific except between Germany stock market and US stock market. GARCH (1,1) provides that US stock market is the most volatile followed by India.

scholarly journals Co-integration of Karachi Stock Exchange with major South Asian Stock Exchanges

2014 ◽  
Vol 4 (1) ◽  
pp. 106
Author(s):  
Salleh Nawaz Khan ◽  
Mohamad Saad Aslam
Keyword(s):  
Stock Market ◽  
South Asia ◽  
South Asian ◽  
Stock Markets ◽  
Stock Exchange ◽  
Stock Exchanges ◽  
Cross Listing ◽  
The World ◽  
The Subject ◽  
China And Japan

International cross  listing have   amplified  the interest of  academics   and  investors  to the subject  of  co movement among  the  stock  markets of  the world . This  study  investigates the co integration of  Pakistan stock exchange (KSE 100 index) with  major stock exchanges of south Asia . The results reveals that there is no co integration  of  Pakistan’s stock  market  (KSE100  index)  with china and  Japan stock markets.  However   there  is co integration of Pakistan’s stock market (KSE 100 index) with the stock market of India, Indonesia, Malaysia and Singapore. 

Layoffs and stock market performance during the COVID-19 pandemic: evidence from the US

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christos Floros ◽  
Maria Psillaki ◽  
Efstathios Karpouzis
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Markets ◽  
Trading Volume ◽  
Negative Impact ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Content Type ◽  
Stock Market Performance ◽  
Event Date

PurposeThe authors examine the short-term stock market reaction surrounding US layoffs during the coronavirus disease 2019 (COVID-19) period. The authors’ specific interest is on any changes that may be observed in US stock markets during the COVID-19 outbreak. This information will help us assess the extent to which policymakers adopted at time revenue and expenditures measures to minimize its negative impact.Design/methodology/approachThe authors study the linkage between layoffs announced by firms and stock markets in US for the COVID-19 period between March 2020 and October 2020. This period shows important economic figures; a huge number of job cuts announced by blue-chip companies listed in the New York Stock Exchange (NYSE) due to widespread economic shutdowns. The authors examine whether and to what extent stock markets in US have reacted to layoff announcements during the COVID-19 pandemic using an event-study methodology.FindingsThe study’s results show that US layoffs during the pandemic did not cause any abnormalities on the stock returns, either positive or negative. Based on the mean-adjusted volume, the authors find that layoffs increase the stocks' trading volume, especially on the event date and the day following the event. US stocks become more volatile on the days following the event. Interestingly, on the event date, the authors find that stocks get the highest abnormal volatility; however, the result is statistically insignificant.Practical implicationsThe authors suggest that layoffs announcements follow the business cycle quite closely in most industries. The study’s results have implications for investors, regulators and policymakers as they permit to examine the effectiveness of the measures adopted.Social implicationsThe study’s results show that policymakers reduced uncertainty implementing intensive measures quickly and should follow similar policy in the future pandemic and/or unexpected events.Originality/valueThis paper contributes to the literature in two directions: First, to the best of the authors’ knowledge this is the first study that provides empirical evidence and assesses the extent to which a major global shock such as the COVID-19 pandemic may have altered the reaction of US stock markets to layoff announcements. Second, this is the first study on this topic that examines volume and volatility abnormalities, while the authors check the robustness of the findings with different methods to calculate abnormal returns.

Momentum Effect in Stock Market: Empirical Evidence from Pakistan Stock Exchange

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Shahid Rasheed ◽  
Umar Saood ◽  
Waqar Alam
Keyword(s):  
Stock Market ◽  
Empirical Evidence ◽  
Stock Markets ◽  
Stock Exchange ◽  
Momentum Effect ◽  
Using Data

This study aims to examine the momentum effect presence in selected stocks of Pakistan stock market using data from Jan 2007 to Dec 2016. This study constructed the strategies includes docile, equal weighted and full rebalancing techniques. Data was extracted from the PSX – 100 index ranging from 2007 to 2016. STATA coding ASM software was used for calculating momentum portfolios, finally top 25 stocks were considered as a winner stocks and bottom 25 stocks were taken as a loser stocks. In conclusion, the results of the study found a strong momentum effect in Pakistan stock exchange PSX 100- index. As by results it has been observed that a substantial profit can earn by the investors or brokers in constructing a portfolio with a short formation period of three months and hold for 3, 6 and 12 months. There is hardly a study is present on the same topic on Pakistan Stock Exchange as preceding studies were only conducted on individual stock markets before merger of stock markets in Pakistan while this study leads the explanation of momentum phenomenon in new dimension i.e. Pakistan Stock Exchange. Keywords: Momentum, Portfolio, Winner Stocks, Loser Stocks

scholarly journals Random Walk Investigation in Indian Market with special reference to S&P Nifty – Fifty Stocks

2015 ◽  
Vol 4 (4) ◽  
pp. 52-61
Author(s):  
Tamilselvan Manickam ◽  
R Madhumitha
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Empirical Support ◽  
Weak Form ◽  
Indian Market ◽  
Price Series ◽  
Stock Market Efficiency ◽  
Indian Stock Market ◽  
Weak Form Efficiency

The competence of a financial system is entirely depending upon the stock market efficiency. The gradual growth of equity investor’s participation is inevitable to enrich the overall growth of emerging economies.Hence the necessity is felt to provide an empirical support to the investing community. For the purpose, this study attempts to examine the weak-form efficiency of Indian stock market – National Stock Exchange (NSE). The study has used the daily closing price of the Nifty fifty stocks from 3rdJanuary 2011 to 24thApril 2015. To test the weak form efficiency both parametric and non-parametric tests called Autocorrelation, Augmented Dicky Fuller test, and Runs Test were performed.  The study reveals that 39 stocks of NSE-Nifty Fifty are found to be weak form inefficient, so that the investors can formulate trading strategies to gain abnormal returns. The Index and 10 stocks are found to be weak form efficient during the study period since the price series found to be autocorrelation existence.

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