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.
| Original language | English |
|---|---|
| Pages (from-to) | 2357-2372 |
| Number of pages | 16 |
| Journal | Empirical Economics |
| Volume | 64 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2023 |
Funding
The authors would like to thank the editor, associate editor and the referees for their valuable comments, which significantly enhance the quality of this paper.
Austrian Fields of Science 2012
- 502025 Econometrics
- 502009 Corporate finance
Keywords
- Prospect theory
- Econometrics
- Nonlinear
- Modeling nonlinear relationship
- Bowman’s paradox
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