In the evolving landscape of financial technology, innovative methods are emerging to assess creditworthiness. One such approach involves analyzing borrowers' facial expressions during loan applications to predict delinquency risk. This study explores this novel intersection of psychology, machine learning, and finance.
This article explains how researchers studied small investors' trading habits by looking at tiny price differences, called subpennies, in stock trades. They found that the current method to identify these trades isn't very accurate. By using a new approach, they improved the accuracy, helping to better understand how small investors buy and sell stocks.
A study found that when investors trust their advisors more, they are more likely to invest in riskier assets, even if the advisor charges higher fees.
This article explores how many American households have retirement and bank accounts, focusing on those with lower incomes.
Trend following, at its core, is a strategy where investors buy an asset when it's going up and sell when it’s going down. But unlike panic-driven investors who sell at the worst possible moment, trend followers adhere to a rules-based approach in an attempt to remove emotion from the equation.
This paper seeks to address three pivotal questions that explore the broader economic and social impacts of IPO activity, particularly its role in influencing stock market participation through localized attention and wealth effects.
This paper examines the time-varying roles of subjective expectations in driving stock price and return variations.
This paper examines the level of financial literacy across the 27 EU member states, using data from the 2023 Flash Eurobarometer 525 survey.
The hurdles to adding alpha for active managers are getting higher—investment practitioners make use of it as soon as or shortly after it is available.
How can textual analysis of business news, specifically The Wall Street Journal (WSJ), be used to measure the state of the economy?
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.
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.
This article provides detailed insights into how high school financial education policies are implemented at the local level.
Without question the topic of greatest debate among investors, including investment professionals, and financial economists, is whether or not the market, and the technology sector in particular, is overvalued. There are two very strong conflicting views regarding not only the current valuation of technology stocks, but also the valuation of the entire asset class of large-cap growth stocks. One side, I’ll call the “new paradigm” or “it’s different this time” school. The other side, I’ll call “the been there, done that” school. Its theme is those that don’t learn from the past are doomed to repeat the same mistakes. No two sides could have more different viewpoints. To understand each side, let’s imagine a dialogue between the two schools.
Wallstreetbets has become an increasingly prominent source of investment research. Do their recommendations have value?
The shrinking pool of public companies across which active funds can diversify their holdings, increases the risk of crowding, which the research we reviewed shows negatively impacts performance. That provides yet another reason for investors to choose to avoid playing the loser’s game of active management.
We find that a significant share of Canadian Bitcoin owners have low crypto knowledge and low financial literacy. We also find gender differences in crypto literacy among Bitcoin owners, with female owners scoring lower in Bitcoin knowledge than male owners.
What are the primary factors contributing to the steep and persistent decline in U.S. consumption growth during the Great Financial Crisis of 2008-2009?
Low short positions come from positive public news, while negative news can drive average short or extremely high short positions
This paper explores the effectiveness of the BJZZ algorithm, developed by Boehmer, Jones, Zhang, and Zhang (2021), in identifying and signing retail trades executed off exchanges with subpenny price improvements.
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