Pramath Nath Acharya, Srinivasan Kaliyaperumal and Rudra Prasanna Mahapatra
In the research of stock market efficiency, it is argued that the stock market moves randomly and absorbs all the available information. As a result, it is quite impossible to…
Abstract
Purpose
In the research of stock market efficiency, it is argued that the stock market moves randomly and absorbs all the available information. As a result, it is quite impossible to make predictions about the possible future movement by the investors. But literatures have detected certain calendar anomalies where a day(s) in a week or month(s) in a year or a particular event in a year becomes conducive for investors to earn more than the normal. Hence, the purpose of this study is to find out the month of the year effect in the Indian stock market.
Design/methodology/approach
In this study, daily time series data of Sensex and Nifty from 1996 to 2021 is used. The study uses month dummies to capture the effect. Different variants of generalised autoregressive conditional heteroskedasticity (GARCH) models, both symmetric and asymmetric, are used in the study to model the conditional volatility in the presence month effect.
Findings
This study found the September effect in the return series of both the stock market. Apart from that, asymmetric GARCH models are found to be the best fit model to estimate conditional volatility.
Originality/value
This study is an endeavour to study month of the year effect in the Indian context. This research will provide valuable insight for studying the different calendar anomalies.
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Mohammed Abdallrahman and Nidal A. Darwish
The paper aims to investigate the impact of customers’ expectations, negative emotions and regret on consumers' intention to buy Chinese clothing products in the Palestinian…
Abstract
Purpose
The paper aims to investigate the impact of customers’ expectations, negative emotions and regret on consumers' intention to buy Chinese clothing products in the Palestinian market.
Design/methodology/approach
This paper used a convenience sampling technique. The path relationship of the study model was analyzed by structural equation modeling (SEM) based on partial least squares (PLS-SEM).
Findings
Results showed that regret was affected by the negative feelings that consumers could incur after buying the product. Additionally, negative feelings and regret negatively affected consumers' intention to buy Chinese clothing products, while their expectations positively affected their decisions. However, the mediation effect of regret was approved in the relationship between negative feelings and the intention to buy.
Originality/value
This is to certify, that the research paper submitted by us is an outcome of our independent and original work. We have duly acknowledged all the sources from which the ideas and extracts have been taken. The project is free from any plagiarism and has not been submitted elsewhere for publication.
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Vijay Pereira, Cary L. Cooper, Rajesh Chandwani, Arup Varma and Shlomo Yedidia Y. Tarba
Abstract
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S.K. Shanthi, Vinay Kumar Nangia, Sanjoy Sircar and K. Srinivasa Reddy
This study aims to explain the Indian taxpayers’ harassment saga in the name of revenue collections by the taxmen.
Abstract
Purpose
This study aims to explain the Indian taxpayers’ harassment saga in the name of revenue collections by the taxmen.
Design/methodology/approach
The study gas adopted descriptive viewpoints supported by empirical evidence.
Findings
Pursuant to the recent amendments in the Act, a good number of Sections such as 132(1), 132(1 A) and 153 A have empowered the tax officials to conduct raids without explaining the reasons, call for papers for reopening assessments of cases of a decade old and has increased the quantum of penalty for the default period substantially.
Originality/value
The paper is an original one and free from plagiarism.