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Predictable patterns following large price changes and volume: Evidence from the Indian stock market

Srikanth Parthasarathy (Department of Finance, Rajalakshmi School of Business, Chennai, India)

Review of Behavioral Finance

ISSN: 1940-5979

Article publication date: 24 June 2019

Issue publication date: 20 November 2019

222

Abstract

Purpose

The purpose of this paper is to examine the short horizon stock behavior following large price shocks in the Indian stock market.

Design/methodology/approach

The author followed the methodology developed by Pritamani and Singhal (2001) to the short horizon stock behavior following large price shocks. Multivariate regression has also been used to test the robustness of the evidenced results.

Findings

The abnormal return following large one-day price changes were not found to be important. However, large price one-day changes, conditioned with volume, evidenced significant reversals and momentum over the following 20-day period. Large price changes accompanied by low volume exhibited significant reversals and suggests significant economic profits. The large price changes accompanied by high volume exhibited continuations.

Research limitations/implications

Large price changes accompanied by low volume exhibited significant reversals and suggested significant economic profits. The large price changes with high volume exhibited continuations. The contrarian strategy of buying low-volume one-day losers and selling one-day winners produced significant short horizon economic profits in the Indian stock market directly contradicting the efficient market hypothesis and has behavioral implications.

Practical implications

In this paper, the author has unearthed significant simple profitable trading strategies based on reversals and continuation following large one-day price changes with potential for significant economic profits.

Originality/value

This paper provides a practical framework for profitable trading strategies based on reversals and continuation following large one-day price changes with a potential for significant economic profits. The analysis of short horizon stock behavior following large price shocks conditional on volume based on the chosen methodology has not been attempted so far in the Indian stock market.

Keywords

Citation

Parthasarathy, S. (2019), "Predictable patterns following large price changes and volume: Evidence from the Indian stock market", Review of Behavioral Finance, Vol. 11 No. 4, pp. 393-405. https://doi.org/10.1108/RBF-06-2018-0058

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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