Academic Research Insight

Do sell-side analysts say “buy” while whispering “sell”?

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.

Estimating Long-Term Expected Returns

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.

Accessing Private Markets: What Does It Cost?

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.

Analysts set price targets using trailing P/E ratios

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 Economics of Private Equity

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.

Investors trade Cryptos and Trad-Fi Differently

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.

Can smart rebalancing improve factor portfolios?

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.

From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses

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.

Fixing the poor performance of the book-to-market ratio

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.

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