Semi-monthly effect in stock returns: new evidence from Bombay Stock Exchange

Semi-monthly effect is a kind of calendar anomalies which is less explored in the financial literature. The main objective of this paper to investigate the presence of semi-monthly effect in selected sectoral indices of Bombay Stock Exchange (BSE). The study uses the daily stock returns of five s...

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Main Authors: Shakila B., A K M Nazrul Islam
Format: Article
Language:English
Published: LLC "CPC "Business Perspectives" 2017-10-01
Series:Investment Management & Financial Innovations
Subjects:
Online Access:https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/9267/imfi_2017_03cont1_Shakila.pdf
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spelling doaj-d0907374ba6b47fa980a975faaddafa92020-11-25T02:15:54ZengLLC "CPC "Business Perspectives"Investment Management & Financial Innovations 1810-49671812-93582017-10-0114316017210.21511/imfi.14(3-1).2017.019267Semi-monthly effect in stock returns: new evidence from Bombay Stock ExchangeShakila B.0A K M Nazrul Islam1Assistant Professor and Research Scholar, Department of Business Administration, St. Joseph Engineering CollegeAssociate Professor, Dhaka School of Economics, University of Dhaka, Dhaka Semi-monthly effect is a kind of calendar anomalies which is less explored in the financial literature. The main objective of this paper to investigate the presence of semi-monthly effect in selected sectoral indices of Bombay Stock Exchange (BSE). The study uses the daily stock returns of five sectoral indices viz S&P BSE Auto Index, S&P BSE Bankex, S&P BSE Consumer Durables Index, S&P BSE FMCG Index and S&P BSE Health Care Index for the period of 10 years starting from 1st April 2007 to 31st March 2017. The data were analyzed using two approaches namely calendar days approach and trading days approach. To test the equality of mean returns for the two halves of the month, Mann-Whitney U test is used. The empirical results of the study did not provide any evidence for the presence of semi-monthly effect in the selected sectoral indices. Nevertheless, BSE Auto Index showed significant difference in the mean returns of first half and second half of trading month during the study period.https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/9267/imfi_2017_03cont1_Shakila.pdfBombay Stock Exchangecalendar anomaliescalendar days approachsemi-monthly effecttrading days approach
collection DOAJ
language English
format Article
sources DOAJ
author Shakila B.
A K M Nazrul Islam
spellingShingle Shakila B.
A K M Nazrul Islam
Semi-monthly effect in stock returns: new evidence from Bombay Stock Exchange
Investment Management & Financial Innovations
Bombay Stock Exchange
calendar anomalies
calendar days approach
semi-monthly effect
trading days approach
author_facet Shakila B.
A K M Nazrul Islam
author_sort Shakila B.
title Semi-monthly effect in stock returns: new evidence from Bombay Stock Exchange
title_short Semi-monthly effect in stock returns: new evidence from Bombay Stock Exchange
title_full Semi-monthly effect in stock returns: new evidence from Bombay Stock Exchange
title_fullStr Semi-monthly effect in stock returns: new evidence from Bombay Stock Exchange
title_full_unstemmed Semi-monthly effect in stock returns: new evidence from Bombay Stock Exchange
title_sort semi-monthly effect in stock returns: new evidence from bombay stock exchange
publisher LLC "CPC "Business Perspectives"
series Investment Management & Financial Innovations
issn 1810-4967
1812-9358
publishDate 2017-10-01
description Semi-monthly effect is a kind of calendar anomalies which is less explored in the financial literature. The main objective of this paper to investigate the presence of semi-monthly effect in selected sectoral indices of Bombay Stock Exchange (BSE). The study uses the daily stock returns of five sectoral indices viz S&P BSE Auto Index, S&P BSE Bankex, S&P BSE Consumer Durables Index, S&P BSE FMCG Index and S&P BSE Health Care Index for the period of 10 years starting from 1st April 2007 to 31st March 2017. The data were analyzed using two approaches namely calendar days approach and trading days approach. To test the equality of mean returns for the two halves of the month, Mann-Whitney U test is used. The empirical results of the study did not provide any evidence for the presence of semi-monthly effect in the selected sectoral indices. Nevertheless, BSE Auto Index showed significant difference in the mean returns of first half and second half of trading month during the study period.
topic Bombay Stock Exchange
calendar anomalies
calendar days approach
semi-monthly effect
trading days approach
url https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/9267/imfi_2017_03cont1_Shakila.pdf
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