scholarly journals Bootstrapping Fuzzy-GARCH Regressions on the Day of the Week Effect in Stock Returns: Applications in MATLAB

2009 ◽  
Author(s):  
Eleftherios Giovanis
Keyword(s):  
Stock Returns ◽  
Day Of The Week

Intraday Stock Returns Patterns Revisited. A Day of the Week and Market Trend Approach

2020 ◽  
Author(s):  
Constantina Kottaridi ◽  
Emmanouil Skarmeas ◽  
Vasileios Pappas
Keyword(s):  
Stock Returns ◽  
Day Of The Week

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

scholarly journals Mood Sensitive Stocks and Sustainable Cross-Sectional Returns During the COVID-19 Pandemic: An Analysis of Day of the Week Effect in the Chinese A-Share Market

2021 ◽  
Vol 12 ◽  
Author(s):  
Qurat ul Ain ◽  
Tamoor Azam ◽  
Tahir Yousaf ◽  
Muhammad Zeeshan Zafar ◽  
Yasmeen Akhtar
Keyword(s):  
Stock Returns ◽  
Investor Sentiment ◽  
Excess Returns ◽  
Chinese Market ◽  
Market Anomalies ◽  
Cross Sectional ◽  
Day Of The Week ◽  
Stock Market Anomalies ◽  
New Evidence ◽  
A Share

This study examines two stock market anomalies and provides strong evidence of the day-of-the-week effect in the Chinese A-share market during the COVID-19 pandemic. Specifically, we examined the Quality minus Junk (QMJ) strategy return on Monday and FridayQuality stocks mean portfolio deciles that earn higher excess returns. As historical evidences suggest that less distressed/safe stocks earn higher excess returns (Dichev, 1998).. The QMJ factor is similar to the division of speculative and non-speculative stocks described by Birru (2018). Our findings provide evidence that the QMJ strategy gains negative returns on Fridays for both anomalies because the junk side is sensitive to an elevated mood and, thus, performs better than the quality side of portfolios on Friday. Our findings are also consistent with the theory of investor sentiment which asserts that investors are more optimistic when their mood is elevated, and generally individual mood is better on Friday than on other days of the week. Therefore, the speculative stocks earned higher sustainable stock returns during higher volatility in Chinese market due to COVID-19. Intrinsically, new evidence emerges on an inclined strategy to invest in speculative stocks on Fridays during the COVID-19 pandemic to gain sustainable excess returns in the Chinese A-share market.

The Earnings Event-Time Seasonal and the Calendar-Time Seasonal in Stock Returns: Naive Use of Earnings Information or Announcement Timing Effect?

1995 ◽  
Vol 10 (4) ◽  
pp. 677-698 ◽  
Author(s):  
Ray Ball ◽  
Eli Bartov
Keyword(s):  
Stock Returns ◽  
Abnormal Returns ◽  
Calendar Time ◽  
Earnings Announcement ◽  
Future Earnings ◽  
Quarterly Earnings ◽  
Earnings Information ◽  
Event Time ◽  
Unexpected Earnings ◽  
Day Of The Week

We document a pattern in the day-of-the-week timing of future earnings announcements that is predictable from knowledge of the current quarter's earnings. The pattern mimics the predictable (+, +, 0, -) dependence previously reported in both seasonally differenced quarterly earnings themselves and in estimated abnormal returns at future quarterly earnings announcement dates (the “SUE effect”; see Rendleman, Jones, and Latané [1987]; Bernard and Thomas [1990]). The predictability of abnormal returns at future earnings announcement dates therefore is not independent of the well-documented day-of-the-week seasonal in stock returns (the “DOW effect”; see Osborne [1962]; Cross [1973]; French [1980]; Gibbons and Hess [1981]). Although the DOW effect is too small to fully explain the SUE effect, it appears to contribute to it, since both past SUE and current earnings announcement DOW are incremental in explaining announcement-day estimated abnormal returns. The unclear role of size and the presence of errors in estimating both unexpected earnings and its announcement day suggest caution in interpreting these results.

Presidential administrations and the day-of-the-week effect in stock returns

1999 ◽  
Vol 8 (1) ◽  
pp. 93-99 ◽  
Author(s):  
Kartono Liano ◽  
Kadir Liano ◽  
Herman Manakyan
Keyword(s):  
Stock Returns ◽  
Day Of The Week

scholarly journals Testing Semi-strong Form Efficiency of Stock Market

2001 ◽  
Vol 40 (4II) ◽  
pp. 651-674 ◽  
Author(s):  
Salman Syed Ali ◽  
Khalid Mustafa
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Markets ◽  
Efficient Market Hypothesis ◽  
Seasonal Effects ◽  
Efficient Market ◽  
New Information ◽  
Empirical Regularities ◽  
Day Of The Week ◽  
Stock Traders

The efficient market hypothesis suggests that stock markets are “informationally efficient”. That is, any new information relevant to the market is spontaneously reflected in the stock prices. A consequence of this hypothesis is that past prices cannot have any predictive power for future prices once the current prices have been used as an explanatory variable. In other words the change in future prices depends only on arrival of new information that was unpredictable today hence it is based on surprise information. Another consequence of this hypothesis is that arbitrage opportunities are wiped out instantaneously. Empirical tests of the efficient market hypothesis actually test for these consequences in various ways. Some of them have been summarised in earlier chapters. These tests generally could not conclusively accept the random-walk hypothesis of stock returns even when GARCH effects were accounted for. Many studies have found empirical regularities that are contrary to the efficient market hypothesis. For example, the monthly, weekly and daily returns on stocks tend to exhibit discernable patterns, such as seasonal affects, month of the year affect, day of the week affect, hourly affect etc. In case of Pakistan’s stock markets too such affects are identified. Such as the Ramadan affect [see Hussain and Uppal (1999)], seasonal effects and day of the week affect. Further, the wide spread use of “technical analysis” among stock traders and their ability to predict to some extent the direction of movements in the prices of individual stocks over medium term testifies to the existence of patterns and seasonal trends.

Pengaruh The Day Of The Week Effect, Week Four Effect dan Rogalsky Effect terhadap Return Saham Lq-45 di Bursa Efek Indonesia

2015 ◽  
Vol 2 (01) ◽  
pp. 43-54
Author(s):  
Yunisa Rahardian Saraswati ◽  
Cicik Setiorini ◽  
Dhea Agatha Cornelia
Keyword(s):  
Stock Returns ◽  
Analysis Of Variance ◽  
Stock Exchange ◽  
Jel Classification ◽  
T Test ◽  
Day Of The Week ◽  
One Way Anova ◽  
Paired T Test

A B S T R A C T This study aims to examine the existence and influence of the effects of trade (the day of the week effect), the effect of the fourth week (week four effect), and the effect Rogalsky (Rogalsky effect) on stock returns. This research samples are 41 active stocks wich is listing in LQ-45 index in Indonesia Stock Exchange over a period of 2013. The statistic methods which are used to test hypotheses are one way anova, and paired t-test. The results show that the day of the week effect and week four effect exist in Indonesia Stock Exchange. But Rogalsky effect does not exist in Indonesia Stock Exchange during Januari-Desember 2013. A B S T R A K Penelitian ini bertujuan untuk menguji keberadaan dan pengaruh dampak perdagangan (hari efek minggu), efek dari minggu keempat (empat minggu efek), dan efek Rogalsky (efek Rogalsky) terhadap return saham. Ini sampel penelitian adalah 41 saham aktif CHITIN listing di LQ-45 Indeks di Bursa Efek Indonesia selama periode 2013. Pengujian hipotesis dilakukan dengan analysis of variance, dan t-test. Hasil penelitian menunjukkan bahwa pengaruh hari dalam satu minggu dan pengaruh minggu keempat efek terjadi di Bursa Efek Indonesia. Tapi efek Rogalsky tidak terbukti di Bursa Efek Indonesia selama Januari - Desember 2013. JEL Classification: G14, G30

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