Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mehrshad Motahari"'
Publikováno v:
The Journal of Financial Data Science. 3:9-30
Machine learning (ML) methods are attracting considerable attention among academics in the field of finance. However, it is commonly believed that ML has not transformed the asset management industry to the same extent as other sectors. This survey f
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Artificial intelligence (AI) has a growing presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. I
Publikováno v:
SSRN Electronic Journal.
This study shows that investor preference for positively skewed payoffs is a common driver of mispricing across a wide range of market anomalies. Specifically, skewness-loving investors overweight overpriced stocks in their portfolios and in doing so
Autor:
Mehrshad Motahari
Publikováno v:
SSRN Electronic Journal.
This study shows that market anomalies are stronger for stocks of firms headquartered in states with a history of better anomaly performance. Using a combined measure of mispricing based on 11 prominent anomaly strategies, I find that the level of mi