Geographic Investing and Company Operations
The article explores the limitations of traditional country-level stock market indexes that are constructed based on the domicile of issuing firms.
A New Wolf in Town? Pump-and-Dump Manipulation in Cryptocurrency Markets
Cryptocurrency and the various forms of infrastructure are currently in a stage of rapid innovation. If the manipulation embedded in PADs is widespread then the confidence in and integrity of the crypto market will suffer.
Trend Following and Momentum Turning Points
Trend follower nerd alert: This study is important because it offers a comprehensive analysis of TS momentum strategies, its unifying framework that links performance to underlying variables, and its practical implications for investors seeking to enhance their understanding of momentum investing and improve their portfolio performance.
Do Short-Term Factor Strategies Survive Transaction Costs?
Short term return anomalies are generally dismissed in the academic literature "because they seemingly do not survive after accounting for market frictions.” In this research, short term “factors” are taken seriously and the authors argue the standard parameters may not apply for short horizons.
The Determinants of Inflation
The findings from this Hidden Markov Model analysis provide policymakers with valuable insights into the nature and behavior of inflation regimes. This information can inform the design and implementation of monetary, fiscal, and regulatory policies to effectively manage inflation, stabilize the economy, and promote sustainable economic growth.
Evidence supporting factor-based seasonalities
Factor seasonality reflects its own stock-level equivalent. It is not an independent risk factor.
Flight to Safety in the Regional Bank Crisis of 2023
This article provides insights into the behavior of depositors and the role of large banks during a banking crisis, offering valuable implications for policymakers, regulators, and researchers in the field of banking and finance.
Investor demand, rating reform and equity returns
The traditional financial theory attributes security returns to market- or factor-based risk, with no role ascribed to other influences. In this research, the authors argue for including investor demand as an additional variable in explaining returns. Can changes in investor demand generate systematic changes in security returns?
Social Media and Inequality in Venture Capital Funding
The article aims to examine the role of social media in venture capital financing, its impact on disparities faced by underrepresented groups, and the mechanisms through which social media usage can facilitate venture capital funding.
Female execs bring more accuracy to analysts’ earnings forecasts
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.
Does investing in a more concentrated fund result in better performance?
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.
Managerial Multitasking in the Mutual Fund Industry
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 Gender Gap Among Top Business Executives
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.
Where Large Language Models and Finance Meet
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.
Fundamentals and the Attenuation of Anomalies
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
Industry classification and the momentum factor
This paper finds that the level of industry classification plays a significant role in the performance of industry momentum strategies.
Do we invest like our family members?
This study adds evidence to the literature of social interaction by confirming empirically that investors acquire investment ideas from their family members.
Can ChatGPT Help You Read Financial Statements? Yes.
Can chatbots, like ChatGPT, be used to interpret and condense lengthy financial disclosures into shorter but relevant documents?
Submergence: A Tool to Assess Drawdowns and Recoveries
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.
Reducing the Impact of Momentum Crashes
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.