Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26126
Title: Witching days and abnormal profits in the US stock market
Authors: Caporale, GM
Plastun, A
Keywords: witching days;abnormal returns;stock markets;anomalies;trading
Issue Date: 2-Mar-2023
Publisher: Cogent OA (Taylor and Francis Group)
Citation: Caporale, G.M. and Plastun, A. (2023) 'Witching days and abnormal profits in the US stock market', Cogent Economics and Finance, 11 (1), 2182016, pp. 1 - 12. doi: 10.1080/23322039.2023.2182016.
Abstract: Copyright © 2023 The Author(s). This paper examines price effects related to witching days in the US stock market using both weekly and daily data for three major indices, namely the Dow Jones, S&P500 and Nasdaq, over the period 2000–2021. First it analyses whether or not anomalies in price behaviour arise from witching by using various parametric (Student’s t-test, and ANOVA) and non-parametric (Mann-Whitney) tests as well as an event study method and regressions with dummies; then it investigates whether or not any detected anomalies give rise to profit opportunities by applying a trading simulation approach. The results suggest the presence of the anomaly in daily returns on witching days which can be exploited by means of suitably designed trading strategies to earn abnormal profits, especially in the case of the Nasdaq index. Such evidence is inconsistent with the Efficient Market Hypothesis (EMH).
Description: JEL Classification: G12; C63.
URI: https://bura.brunel.ac.uk/handle/2438/26126
DOI: https://doi.org/10.1080/23322039.2023.2182016
Other Identifiers: ORCID iD: Guglielmo Maria Caporale https://orcid.org/0000-0002-0144-4135.
2182016
Appears in Collections:Dept of Economics and Finance Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2023 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.866.22 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons