scholarly journals REVISITING CALENDAR ANOMALIES IN BRICS COUNTRIES

2019 ◽  
Vol 22 (2) ◽  
pp. 213-236 ◽  
Author(s):  
Harald Kinateder ◽  
Kimberly Weber ◽  
Niklas Wagner
Keyword(s):  
South African ◽  
January Effect ◽  
Chinese Market ◽  
Holiday Effect ◽  
Brics Countries ◽  
Day Of The Week ◽  
Calendar Anomalies ◽  
Holiday Effects ◽  
Public Holidays ◽  
Daily Returns

We use a GARCH-dummy approach to analyze the influence of calendar anomalies on conditional daily returns and risk for BRICS countries’ stock markets during 1996 to 2018. The month-of-the-year (MOY), turn-of-the-month (TOM), day-of-the-week (DOW), and holiday effects are investigated. The most striking DOW effect is given for Tuesdays. The TOM effect is validated, while we interestingly find no evidence of a January effect. A general holiday effect is not documented, but the Indian market shows a significant pre- and a post-holiday effect, the Chinese market is anomalous before public holidays and the South African market is affected after holidays only.

scholarly journals Holiday effects in the South African futures market

1998 ◽  
Vol 29 (3) ◽  
pp. 119-133 ◽  
Author(s):  
C. F. Smit ◽  
E. V.D.M. Smit
Keyword(s):  
South African ◽  
Futures Market ◽  
Weekend Effect ◽  
Futures Contracts ◽  
The South ◽  
Futures Contract ◽  
Holiday Effect ◽  
Holiday Effects ◽  
Daily Returns ◽  
Local Research

International and local research in share markets offered evidence of a holiday effect. Pre-holiday mean returns are significantly higher than on other trading days. The holiday effect cannot be separated from the weekend effect, as holidays which fall on Fridays and Mondays also influence the weekend analysis. Both these effects exist in their own right. Research on international futures markets supports the existence of a holiday effect. The present study investigates the holiday effect on daily returns of the All Gold Near Futures contract, the All Industrial Near Futures contract and the All Share Near Futures contract in the South African futures market. A distinction is made between pre-holidays, post-holidays and non-holidays. None of the near futures contracts exhibit a significant holiday effect, although signs of a holiday effect are present. It is further shown that the month-end effect is not strongly influenced by the holiday effect. It is also concluded that the pre-holiday effects are not large enough to be exploited on an on-going basis in the South African futures market.

scholarly journals The Disappearing Calendar Anomalies in the Singapore Stock Market

2006 ◽  
Vol 11 (2) ◽  
pp. 123-139 ◽  
Author(s):  
Wing-Keung Wong ◽  
Aman Agarwal ◽  
Nee-Tat Wong
Keyword(s):  
Stock Market ◽  
Efficient Market Hypothesis ◽  
Stock Index ◽  
January Effect ◽  
Trading Behavior ◽  
Recent Period ◽  
Efficient Market ◽  
Day Of The Week ◽  
Calendar Anomalies ◽  
Stock Index Returns

This paper investigates the calendar anomalies in the Singapore stock market over the recent period from 1993-2005. Specifically, changes in stock index returns are examined surrounding January (the January effect), on different days of the week (the day-of-the-week effect), around the turn of the month (the turn-of-the-month effect) and before holidays (the pre-holiday effect). The findings reveal that these anomalies have largely disappeared from the Singapore stock market in recent years. The disappearance of these anomalies has important implications for the efficient market hypothesis and the trading behavior of investors.

Short-Term Seasonalities on the Jakarta Stock Exchange

1999 ◽  
Vol 02 (03) ◽  
pp. 375-398 ◽  
Author(s):  
Kie Ann Wong ◽  
Kusnadi Yuanto
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
The Other ◽  
January Effect ◽  
Seasonal Effects ◽  
Short Term ◽  
Day Of The Week ◽  
Twist Effect ◽  
Holiday Effects

This research attempts to uncover the presence of various stock market seasonalities on the Jakarta Stock Exchange (JSX). We find that most of the seasonal effects exist on the JSX, except for the January effect. There is a day-of-the-week effect with low Tuesday and high Friday returns. The "twist" effect is confirmed with a negative Tuesday return following a market decline in the previous week. The Tuesday "Rogalski" effect is present, with Tuesday return being positive in the month of January and negative for the other months. The monthly, turn-of-the-month, turn-of-the-year and pre-holiday effects are also confirmed in recent sub-periods after the reforms of the JSX in 1988.

scholarly journals Calendar anomalies in the Ukrainian stock market

2017 ◽  
Vol 14 (1) ◽  
pp. 104-114 ◽  
Author(s):  
Guglielmo Maria Caporale ◽  
Alex Plastun
Keyword(s):  
Stock Market ◽  
Simulation Analysis ◽  
January Effect ◽  
Year Effect ◽  
Average Analysis ◽  
Day Of The Week ◽  
Calendar Anomalies ◽  
Student’S T ◽  
Trading Simulation ◽  
Halloween Effect

This paper is a comprehensive investigation of calendar anomalies in the Ukrainian stock market. It employs various statistical techniques (average analysis, Student’s t-test, ANOVA, the Kruskal-Wallis test, and regression analysis with dummy variables) and a trading simulation approach to test for the presence of the following anomalies: day-of-the-week effect; turn-of-the-month effect; turn-of-the-year effect; month-of-the-year effect; January effect; holiday effect; Halloween effect. The results suggest that in general calendar anomalies are not present in the Ukrainian stock market, but there are a few exceptions, i.e. the turn-of-the-year and Halloween effect for the PFTS index, and the month-of-the-year effect for UX futures. However, the trading simulation analysis shows that only trading strategies based on the turn-of-the-year effect for the PFTS index and the month-of-the-year effect for the UX futures can generate exploitable profit opportunities that can be interpreted as evidence against market efficiency.

Do the calendar anomalies still exist? Evidence from Indian currency market

2016 ◽  
Vol 42 (2) ◽  
pp. 136-150 ◽  
Author(s):  
Satish Kumar ◽  
Rajesh Pathak
Keyword(s):  
Least Square ◽  
January Effect ◽  
Currency Markets ◽  
Content Type ◽  
Currency Market ◽  
Before And After ◽  
Calendar Anomalies ◽  
Ordinary Least Square Regression ◽  
The 2008 Financial Crisis ◽  
Using Data

Purpose – The purpose of this paper is to examine the presence of the day-of-the-week (DOW) and January effect in the Indian currency market for selected currency pairs; USD-(Indian rupee) INR, EUR-INR, GBP-INR and JPY-INR, from January, 1999 to December, 2014. Design/methodology/approach – Ordinary least square regression analysis is used to examine the presence of DOW and January effect to test the efficiency of the Indian currency market. The sample period is later divided into two sub-periods, that is, pre- and post-2008 to capture the behavior of returns before and after the 2008 financial crisis. Further, the authors also use the non-parametric technique, the Kruskal-Wallis test, to provide robustness check for the results. Findings – The results indicate that the returns during Monday to Wednesday are positive and higher than the returns on Thursday and Friday which show negative returns. The returns during January are found to be higher than the returns during rest of the year. Further, all currencies exhibit significant DOW and January effects in pre-crisis period, however, post-crisis; these effects disappear for all currencies indicating that the markets have become more efficient in the later time. The findings can be further attributed to the increased intervention in the forex markets by the Reserve Bank of India after the crisis. Practical implications – The results have important implications for both traders and investors. The findings suggest that the investors might not be able to earn excess profits by timing their positions in some particular currencies taking the advantage of DOW or January effect which in turn indicates that the currency markets have become more efficient with time. The results are in conformity with those reported for the developed markets. The results might be appealing to the practitioners as well in a way that they can consider the state of financial market for financial decision making. Originality/value – The authors provide the first study to examine the calendar anomalies (DOW and January effect) across a range of emerging currencies using 16 years of data from January, 1999 to December, 2014. To the best of the authors’ knowledge, no study has yet examined these calendar anomalies in the currency markets using data which covers two important periods, pre-2008 and post-2008.

DAY-OF-THE-WEEK EFFECT IN US BIOTECHNOLOGY STOCKS — DO POLICY CHANGES AND ECONOMIC CYCLES MATTER?

2016 ◽  
Vol 11 (02) ◽  
pp. 1650008
Author(s):  
SWARN CHATTERJEE ◽  
AMY HUBBLE
Keyword(s):  
Stock Returns ◽  
Small Firm ◽  
Economic Cycles ◽  
Trading Decisions ◽  
Portfolio Managers ◽  
Small Investors ◽  
Garch Processes ◽  
Day Of The Week ◽  
Firm Effect ◽  
Daily Returns

This study examines the presence of the day-of-the-week effect on daily returns of biotechnology stocks over a 16-year period from January 2002 to December 2015. Using daily returns from the NASDAQ Biotechnology Index (NBI), we find that the stock returns were the lowest on Mondays, and compared to the Mondays the stock returns were significantly higher on Wednesdays, Thursdays, and Fridays. The day-of-the-week effect on returns of biotechnology stocks remained significant even after controlling for the Fama–French and Carhart factors. Moreover, the results from using the asymmetric generalized autoregressive conditional heteroskedastic (GARCH) processes reveal that momentum and small-firm effect were positively associated with the market risk-adjusted returns of the biotechnology stocks during this period. The findings of our study suggest that active portfolio managers need to consider the day of the week, momentum, and small-firm effect when making trading decisions for biotechnology stocks. Implications for portfolio managers, small investors, scholars, and policymakers are included.

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

An assessment of the day-of the-week-effect in BRICS countries

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Venkataramanaiah Malepati ◽  
Challa Madhavi Latha ◽  
K. Siva Nageswara Rao
Keyword(s):  
Brics Countries ◽  
Day Of The Week

ANOMALI PASAR PADA RETURN SAHAM LQ 45 DI BURSA EFEK INDONESIA: FENOMENA THE DAY OF WEEK EFFECT, WEEK FOUR EFFECT, ROGALSKY EFFECT, DAN JANUARY EFFECT

2016 ◽  
Vol 12 (1) ◽  
pp. 51
Author(s):  
Reza Widhar Pahlevi
Keyword(s):  
Empirical Research ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Weak Form ◽  
Strong Form ◽  
January Effect ◽  
Efficient Markets ◽  
Efficient Market ◽  
Market Anomalies ◽  
Day Of The Week

Market anomalies appears on all forms of efficient markets, both weak form, semi-strong and strongform. But plenty of evidence to link the anomaly with semi-strong form efficient market exploited togenerate abnormal returns. Market anomalies that is often discussed is the Day of the Week Effect,January Effect, Week Four Effect and other market anomalies. Empirical research is intended todetermine whether there is the phenomenon of the day of the week effect, week four effect, the effectrogalsky and January effect on LQ 45 stocks in the Indonesia Stock Exchange year period 2014-2015.Based on the analysis of data, shows that there is the phenomenon of the day of week effect on thecompany LQ-45 in Indonesia Stock Exchange 2014-2015 period, there is the phenomenon of weekfour effect on the LQ-45 in Indonesia Stock Exchange 2014-2015 period, there are phenomenonRogalski Effect on the LQ-45 in Indonesia Stock Exchange 2014-2015 period and there is no Januaryeffect phenomenon in the LQ-45 in Indonesia Stock Exchange 2014-2015 period.Keywords: the day of the week effect, week four effect, rogalsky effect and january effect

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