Along with the rapid growth in the utilization of robo-advisors, there has been similar growth in academic interest about robo-advisors. What is the current state and what are the main research streams in the literature?
The paper aims to contribute to the literature by providing insights into the current state of financial literacy in Italy, its implications for financial well-being and resilience, and the demographic disparities therein.
The paper aims to provide insights into the dynamics of benchmark selection, the effectiveness of Relative Performance Evaluation ( RPE ) incentivization, and the broader implications for fund performance and market competition.
One use of the NLP (natural language processing) features of ChatGPT is to search out patterns in the immense amounts of news, data and other sources of information about specific stocks, and then efficiently convert them into summaries valuable for all types of investors. Can this be accomplished with useful results? The authors use the Q2_2023 period to test performance around earnings announcements. Earnings announcements and earnings surprises are informationally rich as well as challenging events for investors to analyze.
Until that framework is defined, an assessment of the financial acumen of professional athletes will remain unfocused. This research addresses that gap.
The paper aims to investigate whether experienced institutional portfolio managers (PMs) exhibit behavioral biases in their decision-making processes, specifically focusing on the selling decisions.
In this academic article, the authors pull together an analysis of the types of thematic structures found most often in financial planning studies as well as the theories most often referenced.
This paper aims to analyze financial literacy in the United States, utilizing the most recent data from the National Financial Capability Study (NFCS) collected in 2021 by the Financial Industry Regulatory Authority (FINRA) Investor Education Foundation. The paper focuses on the importance of financial literacy, particularly in the context of the economic conditions in the US, such as the COVID-19 pandemic, inflation, and changes in the financial system.
We examine the research around the question of what the proper framework for building a defensive factor strategy is.
This article seeks to examine what research says about the interplay between risk tolerance, financial literacy, and trust and their collective impact on the pursuit of financial advice by Black and Hispanic households.
For many benchmark predictor variables, short-horizon return predictability in the U.S. stock market is local in time as short periods with significant predictability (“pockets”) are interspersed with long periods with no return predictability.
Can machine-learning methods be used to predict the performance of active mutual funds, specifically in terms of alpha net of all costs? Answer: yes.
Hence, the major research question examined here is: What is the impact of industrial pollution on market pricing? Short answer: polluters have earned higher returns.
The article discusses the importance of integrating psychology into the field of financial planning and highlights the need to understand and address the psychological aspects of financial decision-making and client relationships.
Momentum investors utilize different timeframes to identify high momentum equities: past 6, 9, 12 months as an example. Obviously, there is a significant degree of overlap in momentum stocks identified across various past time frames. However, there has been little research focused on understanding the characteristics of momentum stocks formed on six and 12 months that overlap one another. The authors refer to the subset as “overlapping” stocks and suggest they constitute the largest proportion of the profitability of the momentum strategy.
The article introduces a concept called "impact elasticity," which measures how a firm's environmental impact changes in response to shifts in its cost of capital (the "E" in "ESG"). It finds that the dominant sustainable investing strategy, which favors green firms and punishes brown firms by altering their cost of capital, can be counterproductive.
If inflation surges, how long on average, will it take to subside to a reasonable target rate of 2%?
This paper focuses on "organization capital," representing intangible assets in a firm's key employees that is not captured by classic value measures such as book-to-market. The authors propose a structural model to analyze the impact of organizational capital on asset prices and argue that shareholders perceive firms with high levels of organizational capital to be riskier than those with more physical capital.
The relationship between financial markets and ESG investing is obscured by the lack of clarity regarding motivations for investing in ESG strategies. Is the motive to align the investor’s values with the ESG theme? Or is the ESG term a misnomer for a set of stocks that are systematically undervalued, for some reason as a function of its ESG characteristics?
In this study, we introduce a novel measure of information content (Human-AI Differences, HAID) by exploiting the discrepancy between answers to questions at earnings calls provided by corporate executives and those given by several context-preserving Large Language Models (LLM) such as ChatGPT, Google Bard, and an open source LLM.
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