Stocks aren’t always the best in the long-run
Advisors and managers will have to adopt a more nuanced view of risk as recognition of the frequency of equity underperformance becomes widespread.
Advisors and managers will have to adopt a more nuanced view of risk as recognition of the frequency of equity underperformance becomes widespread.
Managers are more likely to vote for analysts who exhibit greater “say-buy/whisper-sell” behavior toward these man agers. This suggests that analysts reduce the accuracy of their public recommendations, thereby maintaining the value of their private advice to funds.
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.
Underreaction to continuous news plays a key role in generating momentum internationally.
This paper examines the time-varying roles of subjective expectations in driving stock price and return variations.
The propagation of factors actually reflect valid characteristics of the markets and market fluctuations.
This paper examines the level of financial literacy across the 27 EU member states, using data from the 2023 Flash Eurobarometer 525 survey.
Measures of asset growth add considerable explanatory power to asset pricing models, but wait, there’s a twist. The formulation for measuring asset growth in risk [...]
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.
If the task is to identify a firm’s true profitability, can AI outsmart seasoned analysts?
Access to automated online credit boosts sales, transactions, and customer capital for firms, particularly in regions underserved by traditional banks.
AI-powered growth concentrates among larger firms and is associated with higher industry concentration. Our results highlight that new technologies like AI can contribute to growth and superstar firms through product innovation.
How can textual analysis of business news, specifically The Wall Street Journal (WSJ), be used to measure the state of the economy?
Trailing twelve-month P/E ratios account for 91% of the variation in analysts’ price targets. We construct a new kind of asset-pricing model around this fact and show that it explains the market response to earnings surprises.
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.
This paper provides new evidence on the efficacy of prioritizing transactions so as to focus portfolio turnover on the trades that offer the strongest signals and hence the highest potential performance impact.
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.
The authors effectively argue the case for intrinsic value and DCF based approaches to building Value factor strategies. The traditional value measures, especially the book-to-market ratio, are described as ineffective in today's market environment.
This article provides detailed insights into how high school financial education policies are implemented at the local level.
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