scholarly journals Testing the Monthly Calendar Anomaly of Stock Returns in Pakistan: A Stochastic Dominance Approach

2019 ◽  
Vol 58 (1) ◽  
pp. 83-104 ◽  
Author(s):  
Abdul Rashid ◽  
Saba Kausar
Keyword(s):  
High Risk ◽  
Stock Returns ◽  
Stochastic Dominance ◽  
Stock Prices ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Systematic Risk ◽  
January Effect ◽  
Firm Level ◽  
High Beta

In this paper, we first examine the presence of monthly calendar anomaly in Pakistan Stock Exchange (PSX) using aggregate and firm-level monthly stock returns. Secondly, we classify the sample firms into low-beta, medium-beta, and high-beta firms to examine the monthly anomaly of stock returns for firms having different level of systematic risk. By considering the stochastic dominance approach (SDA), we employ the simulation based method of Barrett and Donald (2003) to identify the dominant month over the period from January 2000 to December 2017. We find significant evidence of the existence of the January effect in both firm and market stock returns. We also find that the January effect exists more prominently in both low-risk and high-risk firms categorised based on their systematic risk. On the other end of the continuum, for moderately risky firms, there is strong evidence of the presence of the December effect. One of possible explanations of the January effect is the yearend bonus received in the month of January. Such bonuses are generally used to purchase stocks, causing the bullish trend of stock prices in January. However, the evidence of the January anomaly in both low-beta and high-beta portfolios returns is puzzling, suggesting that investors may invest in both low- and high-risk stocks when enthusiastically investing in stock market. The findings of the paper suggest that investors may get abnormal returns by forecasting stock return patterns and designing their investment strategies by taking into account the January and December effects and the level of systematic risk associated with the firms. JEL Classification: G02, G12, G14 Keywords: Behavioural Finance, Stochastic Dominance Approach, Monthly Anomaly, January Effect, December Effect, TOY Anomaly, Abnormal Returns, KS Type Test, PSX

Studying the Effect of Changing the Managing Director on the Abnormal Returns of Shares of Companies Listed on the Iraqi Stock Exchange

2021 ◽  
Vol 39 (11) ◽  
Author(s):  
Hussein Hasan ◽  
Hudaa Nadhim Khalbas ◽  
Farqad Mohammed Bakr AL Saadi
Keyword(s):  
Stock Returns ◽  
Significant Relationship ◽  
Stock Prices ◽  
Market Reaction ◽  
Stock Exchange ◽  
Hypothesis Test ◽  
Abnormal Returns ◽  
The Other ◽  
Other Hand ◽  
Abnormal Stock Returns

The aim of this research is to study the market reaction to the change of the managing director and how this change affects the abnormal returns of the shares. The research is based on the information published by the companies listed on the Iraq Stock Exchange, and 35 companies were selected for the period from 2015 to 2019. The results of the hypothesis test for this study show that there is a negative and significant relationship between the change of the managing director and abnormal stock returns. On the other hand, investors undervalue stock prices when changing CEOs. As a result, the stock returns are less than expected.

scholarly journals Systematic illiquidity, characteristic illiquidity, and stock returns: Timeseries analysis

2022 ◽  
Vol 9 (2) ◽  
pp. 72-80
Author(s):  
Soltane et al. ◽  
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Timeseries Analysis ◽  
The Relationship

The objective of this research is to investigate the relationship between illiquidity and stock prices on the Tunisian stock exchange. While previous researches tended to focus on one form of illiquidity to examine this relationship, our study unifies three forms of illiquidity at the same time. Indeed, we simultaneously consider illiquidity as systematic risk, as a characteristic of the market, and as a characteristic of the stock. The aggregate illiquidity of the market is the average of individual stock illiquidity. The illiquidity risk is the sensitivity of the stock price to illiquidity shocks. Shocks of market illiquidity are estimated by the innovations in the expected market illiquidity. Results show that investors on the Tunisian stock exchange do not require higher returns when they expect a rise of market illiquidity, whereas investors on U.S markets are compensated for higher expected market illiquidity. In addition, shocks of market illiquidity provoke a fall in stock prices of small caps, while large caps are not sensitive to market illiquidity shocks. This differs slightly from results based on U.S. data where illiquidity shocks reduce all stock prices but most notably those of small caps. Robustness tests validate our findings. Our results are consistent with previous studies which reported that the “zero-return” ratio predicts significantly the return-illiquidity relationship on emerging markets.

scholarly journals What Factors Affect Stocks’ Abnormal Return during the COVID-19 Pandemic: Data from the Indonesia Stock Exchange

2021 ◽  
Vol 6 (6) ◽  
pp. 1-11
Author(s):  
Yohanes Indrayono
Keyword(s):  
Financial Crisis ◽  
Stock Returns ◽  
Stock Prices ◽  
Trading Volume ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Early Period ◽  
World Health ◽  
Book Value ◽  
Market Capitalization

This study identifies Indonesian investors’ reactions to the drop in stock prices on the Indonesia Stock Exchange market, during the early months of the COVID-19 crisis, before and after the World Health Organization (WHO) announced that its global spread constitutes a pandemic. It also explores variables that influence stock returns on this market during the financial crisis caused by the COVID-19 pandemic. This study uses a regression analysis of 70 firms, listed on the Indonesia Stock Exchange to examine the pandemic’s influence on trading volume, market capitalization, profitability, and book value for the period December 31, 2019, to April 30, 2020. The results show that stock returns were lower in the early period of the financial crisis caused by the pandemic. Firms’ trading volumes, profitability and book values positively affected stock returns and their market capitalization negatively affected stock returns during the study period. This study contributes useful insights to the finance literature and stock-market participants in terms of dealing with stock markets during financial crises. This study recommends that in any crisis investors should begin buying stocks or increasing their stock purchases to achieve abnormal returns by choosing stocks that perform well in terms of firm profitability and book value by looking a number of financial factors.

scholarly journals ANOMALI EFEK KALENDER PADA RETURN SAHAM LQ-45 DI BURSA EFEK INDONESIA

2019 ◽  
Vol 8 (5) ◽  
pp. 2642
Author(s):  
Komang Intan Permatasari ◽  
I Ketut Mustanda
Keyword(s):  
Data Collection ◽  
Stock Prices ◽  
Abnormal Return ◽  
Stock Exchange ◽  
Participant Observation ◽  
Abnormal Returns ◽  
Stock Index ◽  
January Effect ◽  
Average Abnormal Return ◽  
Day Of The Week

Calendar effect anomalies indicate a return deviation in a capital market that allows investors to take advantage of a time and obtain abnormal returns. This study aims to determine the difference in the average abnormal return on the day (the day of the week effect), Monday the fourth week (week-four effect), and January with other months (January effect). The study was conducted on companies included in the LQ-45 stock group and obtained a sample of35 companies using the saturated sample method. The data source comes from secondary data, through the yahoo finance website and the method of data collection is done by non-participant observation including data collection on the development of stock prices included in the LQ-45 group during the period February 2015 to January 2018. Test results with the SPSS program through Kruskal-Wallis test and Mann Whitney Test, show that the stock’s average abnormal return at any time is not different, so the conclusion that there is no day of the week effect, week-four effect, and January effect on the LQ-45 stock index on the Stock Exchange Indonesia. Keywords: calendar effect anomaly, abnormal return

scholarly journals January Effect di Indonesia Periode 2017 – 2019

2021 ◽  
Vol 31 (3) ◽  
pp. 756
Author(s):  
Gusti Ayu Ratrini ◽  
I Wayan Suartana
Keyword(s):  
Stock Returns ◽  
Abnormal Return ◽  
Trading Volume ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
January Effect ◽  
Rank Test ◽  
Analysis Technique ◽  
Significant Difference ◽  
Signed Rank Test

The January Effect is one of the seasonal anomalies, which reveals that stock returns in January tend to be higher than in months other than January. This study aimed to examine and analyze the existence of the January effect using abnormal return and trading volume activity (TVA) variables. The presence of the January Effect was researched on companies listed on the Indonesia Stock Exchange (IDX) and continues to be included in the Investor33 Index during 2017-2019. The samples studied were 25 companies. It was selected using purposive sampling method. The results of the normality test showed that the data was not normally distributed. Thus, only the non-parametric test, namely the Wilcoxon Signed Rank Test, can be used as a data analysis technique. Based on the analysis conducted, it was found that there was a significant difference in abnormal returns and no significant difference in TVA in January and other than January. Therefore, it can be concluded that statistically, the January Effect occurred in Indonesia during the test period indicated by abnormal returns. Keywords: January Effect; Abnormal Return; TVA.

scholarly journals The Impact of Tax Amnesty Announcement towards Share Performance and Market Reaction in Indonesia

2018 ◽  
Vol 7 (2) ◽  
pp. 39
Author(s):  
Lidya Agustina ◽  
Yuliana Gunawan ◽  
Windawaty Chandra
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Trading Volume ◽  
Stock Return ◽  
Market Reaction ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Test Method ◽  
Tax Amnesty ◽  
The Impact

The Indonesian Government reviewed back the tax amnesty in 2016. Various reactions came up along with the announcement of tax amnesty, the investors did not accept- which led to the announcement of the Tax Forgiveness regulation through the market reactions and stock market performances in Indonesia Stock Exchange. This research is to analyze event study using information based on government-related announcements to show the impact of the new regulation towards stock performance and market reaction. The effect of the announcement will be seen from the changes in stock-prices or stock-returns that provide abnormal returns in the event period as well as market reaction which reflected in trading volume. This research used stock-return data and trading volume from all companies listed in IDX in 2016 and analyzed using the Paired Sample T-Test method. The result of this research shows there are differences among the average of stock-return, average abnormal-return of stock, and stock trading volume before and after the tax amnesty announcement.

scholarly journals The Influence of Financial Distress Using Altman Z-Score, The Beta of Stocks and Inflation To The Stock Return

2017 ◽  
Vol 2 (2) ◽  
pp. 21-27
Author(s):  
Mathius Tandiontong ◽  
Margaretha Sitompul
Keyword(s):  
High Risk ◽  
Stock Returns ◽  
Financial Distress ◽  
Stock Return ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Sampling Technique ◽  
Jel Classification ◽  
Z Score ◽  
Panel Data Regression

Objective - Stock is one securities among other securities, as a high risk instrument. Stock classified as high risk due to reflection in the uncertainty of the rate of return to be received by investors in the future. The purpose of this research is to examine of financial distress as measured by the Altman Z-Score, systematic risk as measured by beta stocks and macroeconomic measured by inflation on stock returns Manufacturing Company listed on the Stock Exchange 2008-2012 period Methodology/Technique - From 133 companies listed, 75 companies are taken as sample by using purposive sampling technique. Panel data regression analysis shows that the overall effect of variables is equal to 28.7%. Findings - Partially, the variables that affect the stock returns are financial distress with Altman Z-Score, beta stocks and inflation. Novelty - Financial distress with the measurement using the Altman Z-Score. Type of Paper: Empirical Keywords: Stock return; Financial distress; Altman Z-Score; Systematic risk; Beta stocks and Inflation JEL Classification: E44, F14, G01.

scholarly journals THE IMPACT OF DIVIDEND ANNOUNCEMENT ON STOCK RETURNS AMONG THE TEN TOP COMPANIES IN PAKISTAN

2020 ◽  
Author(s):  
Zubair Tanveer ◽  
Muhammad Zul Azri Muhammad Jamil
Keyword(s):  
Stock Returns ◽  
Insider Trading ◽  
Stock Prices ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Abuse ◽  
Study Methodology ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

The study tested the response of stock prices around the dividend declaration dates in Pakistan stock exchange. It estimated the data of 1110 dividends announced by 91 firms of the highest ten active sectors of Pakistan Stock Exchange. To empirically investigate the relationship between stock returns and dividend announcement, the panel regression was employed by creating dummy variables for 61 days around the dividend declaration dates. Cumulative average abnormal returns and average abnormal returns were also stimated around the events with the help of event study methodology. Outcomes of the empirical analysis revealed strong evidence of market abuse in the term of insider trading and supported the argument of the information content hypothesis and semistrong form of efficient market. Moreover, the study also found a robust impact of the probable ex-dividend date. The study recommended that it is a responsibility of stock exchange regulatory authorities, whistleblowers, registered companies, and the investors collectively to detect and punish this white-collar financial crime.  

AN ANALYSIS OF ABNORMAL RETURNS ASSOCIATED WITH STOCK SPLIT

2021 ◽  
pp. 1-14
Author(s):  
JYOTI PANDEY ◽  
VINAY KANDPAL ◽  
NEERAJ NAUTIYAL
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Model ◽  
Stock Splits ◽  
Event Window ◽  
Stock Split ◽  
Secondary Information ◽  
The Impact

A stock split is when a company’s outstanding shares are divided into multiple shares by issuing more shares to current shareholders without eroding their stake’s value. The company typically takes these actions to increase liquidity and marketability, lower stock prices, attract new investors and so on. The purpose of this study is to examine the impact of stock splits on the stock returns during the study period. Companies listed on the Bombay Stock Exchange (BSE) and those included in the S&P BSE 500 Index are included in the stock split data. The study period covers 14 years, between 2008 and 2021. Market model event study methodology is being employed to analyze the average abnormal returns (AARs), cumulative abnormal returns (CARs) and cumulative AAR (CAARs) using an event window period consisting of 31 days ([Formula: see text]). The study is largely based on secondary information from the CMIE Prowess IQ Database and the official BSE website. The [Formula: see text]-test, mean and standard deviation were used to investigate the influence of stock split announcements on share prices and the performance of stock splits before and after the announcement. The study found that on ([Formula: see text]), ([Formula: see text]), ([Formula: see text]) and ([Formula: see text]) and on the day of the announcement ([Formula: see text]), the market reacted favorably with significant positive abnormal returns. On ([Formula: see text]) and ([Formula: see text]) days, however, there were significant negative abnormal returns. The null hypothesis is accepted as the CAR for the whole 31-day event window, which is 0.0221, with a [Formula: see text]-statistic of 1.692, which is insignificant.

scholarly journals Stock Market Behavior after Large Price Changes and Winner-Loser Effect

2021 ◽  
Vol 7 (2) ◽  
pp. 114-116
Author(s):  
Muhammad Shahid Rasheed ◽  
Syed Zulfiqar Ali Shah ◽  
Muhammad Fayyaz Sheikh
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Fixed Effect Model ◽  
Price Changes ◽  
Specific Effects ◽  
Effect Model ◽  
Time Specific ◽  
Better Than

This study examines the behavior of stock prices following large price changes. It also examines the presence of disposition prone investors and effect of size on stock returns. The study uses daily prices data from Pakistan Stock Exchange (Formerly, Karachi Stock Exchange (KSE)) for the period of January 2001 to July 2012.  Our findings suggest that winners perform better than losers after experiencing large price shocks thus showing a momentum behavior. This also suggests that most of the investors in KSE behave rationally and we do not find any evidence of disposition effect in KSE. Further, pooled regression estimates show that size is positively related to post-event abnormal returns. The fixed effect model shows the presence of unobservable firm-specific and time specific effects that account for price continuation.

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