The article aims to explore the relationship between multitasking and performance for mutual fund managers, investigate the potential mechanisms and factors influencing this relationship, and provide insights for fund companies and investors regarding the implications of multitasking on fund performance.
Although the most efficient way to implement a value strategy may need to be clarified, it is clear that value has withstood the test of time and that some implementations are superior to others. The evidence suggests that P/B is not an efficient metric as a standalone criteria. Instead, value strategies that use P/B should include at least a measure of profitability while managing sector - and security-level diversification.
The article aims to provide insights into the gender gaps in executive employment and compensation, explore the role of corporate culture and temporal flexibility in these gaps, and understand the factors influencing gender differences in entry, exit, and pay among top business executives.
Researchers have raised questions and led to research into how many factors are needed, the replicability of originally reported results, and the decay of factor performance over time.
BloombergGPT is a large language model (LLM) developed specifically for financial tasks. The authors trained the LLM on a large body of financial textual data, evaluated it on several financial language processing tasks and found it performed at a significantly higher level than several other state-of-the-art LLMs.
The “Intangible Value Factor” (IHML) can play an additive role in factor portfolios alongside the established market, size, value, quality, and momentum factors. This Six-Factor Model avoids the problematic “anti-innovation” bias of traditional factor portfolios and can be easily implemented using ETFs.
The article aims to explore the possibility that changes in fundamentals play a role in the attenuation of stock market anomalies, offering an alternative explanation to the prevailing arbitrage-based explanation
There are several significant, well-documented benefits of index funds. In addition to outperforming a large majority of actively managed funds, they tend to have low fees, low turnover (resulting in low trading costs and high tax efficiency), broad diversification, high liquidity, and near-zero tracking error (generally assumed to mean that they incur negligible trading costs).
This paper finds that the level of industry classification plays a significant role in the performance of industry momentum strategies.
This study adds evidence to the literature of social interaction by confirming empirically that investors acquire investment ideas from their family members.
While most sin stocks in the IC method were also identified as sin in the TA method, there were 57 firm-year cases where a company showed up as sin only in the IC method—these were false positive sin stocks as identified in the IC method.
Can chatbots, like ChatGPT, be used to interpret and condense lengthy financial disclosures into shorter but relevant documents?
According to research by the authors, stocks and bonds have been submerged for about 75% of the time since 1980; and treasuries have been submerged 80% of the time. Submergences are therefore both commonplace and significant, which means that handling them is very important for investors and their investing strategies.
I’ve received calls from clients inquiring about moving assets to gold. When I asked them why, three reasons dominated.
Momentum crashes are a blight on the performance of momentum strategies. Although there has been a fair amount of research on the topic, few practical solutions have emerged to mitigate the impact on portfolios. In this study, the authors document the outperformance of stocks, in terms of momentum, far away from their peak position relative to stocks very near their peaks. Turns out the outperformance is very large. It also accounts for the majority of negative momentum performance.
This article examines the research conducted by Dimensional to determine the efficacy of an industry or country approach to factor investing.
Do men and women differ in their financial returns on housing investments? What are the main drivers?
No surprise: reddit message boards don't lead to alpha generation.
The expense ratio aside, the cost of transacting in an ETF depends on the size of the bid/ask spread at any point in time during the trading day. The ETF investor should make evidence-based trading decisions since the bid/ask spread can range from 1 basis point (bp) to several hundred bps. What are some intelligent guidelines for ETF investors--avoid the open, avoid the close, and what about everything in-between? This article provides data on the effect of the time of day on the average bid/ask spread for ETFs.
In this paper, we propose a cross-sectional option momentum strategy that is based on the risk component of delta-hedged option returns. We find strong evidence of risk continuation in option returns.
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