Modeling nonlinear in Bowman's paradox: the case of Pakistan

Author(s)
Robert Kunst, Farrukh Mahmood
Abstract

Prospect theory frequently explains the empirical results of Bowman's paradox (negative relationship between risk and return). However, the empirical econometric model of these researches is misspecified. This study used a data-driven approach to improve the econometric model. Empirical results based on the improved econometric model are also reinforced by data visualization to be illustrated in depth. For this purpose, we used the data of 622 listed firms on the Pakistan Stock Exchange from 2000 to 2019. Our results contradict the literature on prospect theory based on the improved econometric model.

Organisation(s)
Department of Economics
External organisation(s)
IHS - Institut für Höhere Studien und wissenschaftliche Forschung, University of the Punjab
Journal
Empirical Economics
Volume
64
Pages
2357-2372
No. of pages
16
ISSN
0377-7332
DOI
https://doi.org/10.1007/S00181-022-02308-3
Publication date
2023
Peer reviewed
Yes
Austrian Fields of Science 2012
502025 Econometrics, 502009 Corporate finance
Keywords
ASJC Scopus subject areas
Statistics and Probability, Mathematics (miscellaneous), Social Sciences (miscellaneous), Economics and Econometrics
Portal url
https://ucrisportal.univie.ac.at/en/publications/8ec4a666-ed1f-4060-a9af-0c8192551b57