This study examines the efficacy of machine learning (ML) and artificial intelligence (AI) in predicting profitability, offering valuable insights for investors and managerial decisions. Leveraging the extensive array of data associated with Big Data, ML and AI are compared with regression...

Prior academic research on hedge funds focuses predominately on fund strategies in relation to market timing, stock picking, and performance persistence, among others. However, the hedge fund industry lacks a universal classification scheme for strategies, leading to subjective fund...

Promoting social information reporting and disclosure can promote sustainable banking. The paper aims to measure banking social sustainability by constructing a new interval-based composite indicator using the Thomson Reuters database. In this work, we propose an approach to constructing...

We evaluate the importance of nonlinear and interactive effects in implied volatility innovation forecasting by comparing the performance of machine learning models that can search for interactive effects relative to classical ones that cannot, measuring the economic significance of these...

Artificial intelligence (AI) has a huge impact on economic development, while the literature focuses on the effect of AI on employment, and little is known about the impact of AI on intergenerational occupational mobility. Using a large, representative survey of individual-level data from the...

This paper shows that sophisticated diversification strategies outperform the 1/Nrule when adjusting for multiple testing; however, their edge is severely underminedby transaction costs. As a way forward, this paper provides a machine learning approachfor ex-ante strategy selection. By linking...

This paper examines the short-run weak-form efficiency of equities, using a proprietary data set permitting analysis of orderbook characteristics to measure short-term price predictability. The results show that high levels of algorithmic trader activity in a stock lowers the level of short-run...

This study analyzes the financial opportunities that the new Artificial Intelligence (AI) innovation presents. We first present what is AI in finance and then our analysis is broken down into two themes. First, we display the current and projected AI revenue by sector, technology type, and...

(Korean Abstract) 최근 세계적으로 금융위기의 그림자가 아른거리고 있다. 주식, 채권, 디지털자산, 부동산 등 거의 모든 자산가격이 급락하고, 일부 취약한 신흥국은 외환위기에 빠졌다. 민간에 대한 신용공급도 둔화되고...

The ability to accurately estimate whether a venture capital firm will invest in a region benefits investors, companies and investment promotion agencies. We applied machine learning techniques to make this prediction in Latin America, using firm, country, network and distance variables. The...