@article{jfe2021934,
author={{Adjei, Frederick and Adjei, Mavis},
title={TV Financial Analyst Predictive Power: The Case of <i>Jim Cramer</i> of Mad Money},
journal={Journal of Finance and Economics},
volume={9},
number={3},
pages={142--146},
year={2021},
url={http://pubs.sciepub.com/jfe/9/3/4},
issn={2328-7276},
abstract={In this study, using a unique dataset collected by web-scraping (using <i>Python Programming Language</i>), we assess analyst predictive power and whether analyst experience is associated with predictive power by tracking <i>Jim Cramer</i>¡¯s predictive power for future stock returns over a two-year period. We find that <i>Jim Cramer</i>¡¯s accuracy may be limited to <i>positive</i> and <i>buy</i> recommendations. Additionally, we find that there is improvement in recommendation accuracy with increase in analyst experience. However, the improvements are concentrated in the <i>positive</i> and <i>buy </i>recommendations. Finally, the <i>featured stock</i> segment of <i>Jim Cramer</i>¡¯s show seems to have the highest recommendation accuracy for both <i>positive </i>and <i>negative </i>recommendations.},
doi={10.12691/jfe-9-3-4}
publisher={Science and Education Publishing}
}