Divestment, a commonly used strategy, involves withdrawing support from companies that contribute to these issues, with the intention of creating positive societal change. Despite its appeal, the connection between divestment actions and their actual impact on society remains unclear.
This paper investigates how modeling choices impact MLM outcomes such as cross-sectional return predictability.
One critical, yet often overlooked, choice is how stocks are weighted in the objective function during training, with equally weighted (EW) approaches being the norm. This paper investigates how such choices impact cross-sectional return predictability and the performance of trading strategies derived from these predictions, focusing on the interplay between objective function design and model outcomes.
This study addresses a critical gap in financial forecasting by improving the accuracy of long-term expected return (E(R)) predictions. By evaluating various frameworks and proxies out-of-sample, free from biases like look-ahead bias, it provides more reliable methods for investors to make informed decisions about asset allocations.
This paper examines the time-varying roles of subjective expectations in driving stock price and return variations.
This paper examines the level of financial literacy across the 27 EU member states, using data from the 2023 Flash Eurobarometer 525 survey.
By quantifying how non-performance-based fees dominate the cost structure, this research questions whether current fee models effectively align with investor interests, which could influence future fee arrangements and industry standards.
Access to automated online credit boosts sales, transactions, and customer capital for firms, particularly in regions underserved by traditional banks.
How can textual analysis of business news, specifically The Wall Street Journal (WSJ), be used to measure the state of the economy?
The paper examines key factors that influence the performance and success of private equity investments. Specifically, it focuses on the importance of manager selection, the role of LP sophistication and skill, the relationship between fund size and performance, the potential misalignment of incentives between GPs and LPs, and the benefits and risks associated with co-investment opportunities.
Retail traders are contrarian in stocks and gold, yet the same traders follow a momentum-like strategy in cryptocurrencies. The differences are not explained by individual characteristics, investor composition, inattention, differences in fees, or preference for lottery-like assets. We conjecture that retail investors have a model where cryptocurrency price changes affect the likelihood of future widespread adoption, which leads them to further update their price expectations in the same direction.
An AI analyst trained to digest corporate disclosures, industry trends, and macroeconomic indicators surpasses most analysts in stock return predictions. AI wins when information is transparent but voluminous. Humans provide significant incremental value in “Man + Machine,” which also substantially reduces extreme errors.
This article provides detailed insights into how high school financial education policies are implemented at the local level.
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