The results of this research extend the literature in a number of areas including: the analyst forecast literature; the literature on behavioral accounting and finance with respect to corporate decision-making all in the context of gender; and the dominant role of the CEO on information transparency.
This study explores the degree to which fund concentration (high tracking error) affects the magnitude of excess returns and whether or not the likelihood of outperformance or underperformance are distributed similarly.
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.
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.
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 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
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.
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.
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.
Do men and women differ in their financial returns on housing investments? What are the main drivers?
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.
This article studies how investment ideas can propagate through a social network and affect market behavior and prices.
Factor strategies need to be rebalanced in order to maintain their factor exposure. But different factors decay at different rates and this affects how they should be rebalanced. For example, momentum needs to be rebalanced more than value. This study digs into these questions.
This article studies whether index investing has implications for the informational efficiency of stock prices.
In this study, the impact of the FTX collapse and bankruptcy is investigated across global financial markets.
The objective of this article is to build better estimates of CPI headline and core inflation values so inflation comparisons over time are more reliable. The run-up in inflation we are currently experiencing is difficult to contextualize because it is inconsistent with past practices, weights on expenditures have changed, and the treatment of housing costs.
This article examines the state of Artificial Intelligence (AI). We examine its history with an eye toward what it may mean for the world in years to come.
The contribution of salience theory to the theory of asset pricing turns out to be quite a profitable insight for momentum strategies.
© Copyright 2025 alpha architect | All Rights Reserved | Home | Terms of Use | Privacy Policy | Disclosures | Subscribe | Contact Us
