Modeling Sentiment, Temporal Volatility and Excess Returns: Empirical Evidence from Segmented Stock Market

Journal of Business & Economics 8 (2), 202-228

Posted: 8 Apr 2017 Last revised: 20 Jan 2018

See all articles by Mohsin Sadaqat

Mohsin Sadaqat

Institute of Business Administration, Karachi

Hilal Anwar Butt

University of Karachi - Institute of Business Administration (IBA), Karachi

Date Written: December 31, 2016

Abstract

This study examines the ability of investor sentiment to predict conditional volatility and excess returns at both aggregate market and industry level in Pakistani stock market. Following the top-down-approach, a broad band investor sentiment index for Pakistan has been developed to empirically test this issue. A significantly positive contemporaneous as well as negatively lagged effect of investor sentiment is found on excess returns at aggregate market and industry level. It has also been confirmed that bullish (bearish) sentiment increases (decreases) volatility which in-turn affect the mean variance relationship. However, the commonality of the effect of investor sentiment via conditional volatility has not been uniform across industries.

Keywords: Sentiment; volatility; emerging stock market; principal component

JEL Classification: A12, G14

Suggested Citation

Sadaqat, Mohsin and Butt, Hilal Anwar, Modeling Sentiment, Temporal Volatility and Excess Returns: Empirical Evidence from Segmented Stock Market (December 31, 2016). Journal of Business & Economics 8 (2), 202-228, Available at SSRN: https://ssrn.com/abstract=2947733

Mohsin Sadaqat (Contact Author)

Institute of Business Administration, Karachi ( email )

Sector H-12
Islamabad, 44000
Pakistan

Hilal Anwar Butt

University of Karachi - Institute of Business Administration (IBA), Karachi ( email )

University Road
Karachi, Sindh 75270
Pakistan

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