Day of the Week Effects in NSE Stock Returns

Day of the Week Effects in NSE Stock Returns
Author: Varun Arora
Publisher:
Total Pages: 27
Release: 2008
Genre:
ISBN:

The presence of the seasonal or monthly effect in stock returns has been reported in several developed and emerging stock markets. This study investigates the existence of seasonality in India's stock market, primarily trying to detect the quot;Day of the Week Effectquot; in the Stocks listed on the National Stock Exchange. It covers the post-reform period. The study uses the Daily return data of the stocks listed on National Stock Exchange and Bombay Stock Exchange Index for the period from November 1994 to September 2007 for analysis. After examining the stationarity of the return series, by applying quot;Kruskal Wallisquot; test and quot;One Way Anovaquot; i.e. using both Parametric and Non Parametric Tests, we specify an Augmented Dummy Regressive model to find the Day of the week effect monthly effect in stock returns in India. Another feature of our study was that we analysed the day of the week effect in three different phases of market ie. quot;Consolidationquot; Phase, quot;Bearishquot; Phase and the quot;Bullishquot; Phase. This was carried with an intention to see whether the day of the week effect was visible in these specific market phases or not. The results confirm the existence of seasonality (in the form of Day of the Week Effect) stock returns in India for 66 Stocks spanning across various sectors that we analysed - The results of the study imply that the stock market in India is inefficient, and hence, investors can time their share investments to improve returns and make abnormal profits. However the Day of the Week effect was found to be absent in the Bullish as well as the Bearish phase, which was a departure from our previous belief of the existence of this effect in all phases of the market.

Stock Market Return and Volatility

Stock Market Return and Volatility
Author: Hakan Berument
Publisher:
Total Pages:
Release: 2018
Genre:
ISBN:

This paper examines the stock market returns and volatility relationship using US daily returns from May 26, 1952 to September 29, 2006. The empirical evidence reported here does not support the proposition that the return-volatility relationship is present and the same for each day of the week.

A Monthly Effect in Stock Returns

A Monthly Effect in Stock Returns
Author: Robert A. Ariel
Publisher: Palala Press
Total Pages: 52
Release: 2018-03-03
Genre: History
ISBN: 9781379114314

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Handbook of Financial Markets: Dynamics and Evolution

Handbook of Financial Markets: Dynamics and Evolution
Author: Thorsten Hens
Publisher: Elsevier
Total Pages: 607
Release: 2009-06-12
Genre: Business & Economics
ISBN: 0080921434

The models of portfolio selection and asset price dynamics in this volume seek to explain the market dynamics of asset prices. Presenting a range of analytical, empirical, and numerical techniques as well as several different modeling approaches, the authors depict the state of debate on the market selection hypothesis. By explicitly assuming the heterogeneity of investors, they present models that are descriptive and normative as well, making the volume useful for both finance theorists and financial practitioners. - Explains the market dynamics of asset prices, offering insights about asset management approaches - Assumes a heterogeneity of investors that yields descriptive and normative models of portfolio selections and asset pricing dynamics

Day of the Week Effect in Returns and Volatility of the S&P 500 Sector Indices

Day of the Week Effect in Returns and Volatility of the S&P 500 Sector Indices
Author: Juan Liu
Publisher:
Total Pages: 56
Release: 2015
Genre: GARCH model
ISBN:

"Previous studies have shown that returns associated with the stock market or foreign exchange's futures show variations across the day of the week. On such study, that employs a modified GARCH model for estimation, shows that returns associated with the S&P 500 stock index is highest on Wednesday and lowest returns on Monday. The same study shows that volatility is highest on Fridays and lowest on Wednesdays. In this study we investigate if this day-of-the-week effect on returns and volatility is present in the different sectors that constitute the S&P 500 index. The data set used provides daily returns from February 2005 to February 2015 and is more recent than the data used for the original study on the S&P index. Results show mixed outcomes with some days showing higher returns or volatilities on certain days of the week depending on the sector."--Abstract, page iii.

The Day of the Week Effect on Stock Market Volatility

The Day of the Week Effect on Stock Market Volatility
Author: Hakan Berument
Publisher:
Total Pages:
Release: 2018
Genre:
ISBN:

This study tests the presence of the day of the week effect on stock market volatility by using the S&P 500 market index during the period of January 1973 and October 1997. The findings show that the day of the week effect is present in both volatility and return equations. While the highest and lowest returns are observed on Wednesday and Monday, the highest and the lowest volatility are observed on Friday and Wednesday, respectively. Further investigation of sub-periods reinforces our findings that the volatility pattern across the days of the week is statistically different.

Once Upon a Time

Once Upon a Time
Author: Jörg Prokop
Publisher:
Total Pages: 26
Release: 2009
Genre:
ISBN:

This paper studies the development of the day-of-the-week effect in German and US stock market returns over the past decades. Using an OLS regression approach, we analyse four major German stock market indices for abnormal returns on each trading day of the week, with the longest observation period ranging from 2007 back to the mid-1960s. Moreover, as prior studies indicate the existence of a relationship between the magnitude of the day-of-the-week anomaly and the time of the month at which it occurs, we also analyse the indices' return behaviour categorised by week of the month. The results are compared to those of prior studies, as well as to our own findings for a sample covering the US stock market. We find that for both markets, the leading equity indices, DAX and SP500, exhibit a strong Monday effect during the older sample periods, which is fading over time, reversing during the 1990s, and vanishing after the year 2000. However, regarding smaller stock market indices, our results for the German and for the US data differ substantially, indicating that there is no general parallel market behaviour with respect to this specific return anomaly. Finally, with respect to the more recent sample periods, none of the daily return anomalies observable between the 1960s and the 1980s seem to have persisted, suggesting an increase in informational efficiency of the respective markets over time.

Day of the Week Effect

Day of the Week Effect
Author: John Okey Onoh
Publisher:
Total Pages: 15
Release: 2016
Genre:
ISBN:

It is well documented that expected stock returns vary with the day of the week in developed stock markets as well as in emerging stock markets. The evidence of this seasonal pattern has, however, been very scanty in the case of Nigeria. The research therefore investigates the presence of the day of the week in the Nigerian Stock Exchange. The Ordinary Least Square method was used to analyze the stock returns pattern for a period ranging from 2nd January 2009 to 31st December 2015. Results obtained from the study shows that Friday returns is significantly higher than returns of other days of the week. This finding confirms the existence of the day of the week effect in the NSE daily return.