Academic Finance Research and Insights

Betting on a Short Squeeze as Investment Strategy

By |March 8th, 2024|Skewness, Larry Swedroe, Factor Investing, Research Insights, Guest Posts, Other Insights, Tactical Asset Allocation Research|

Short squeezes are often associated with a large positive jump in the price of a stock. Filippou, Garcia-Ares, and Zapatero demonstrated that skewness-seeking investors try to identify securities that could experience a short squeeze in the near future and are willing to pay a premium for them. That results in an overvaluation of the options and, on average, negative returns. Investors are best served to avoid investments with lottery-like distributions. One way to do that is to turn a blind eye to social media sites like Robinhood and Reddit so you don’t get caught up in the hype and excitement. That’s another example of why retail investors are called “dumb money.” Forewarned is forearmed.

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Financial Literacy and Financial Resilience: Evidence from Italy

By |February 26th, 2024|Financial Planning, Research Insights, Basilico and Johnsen, Academic Research Insight, Behavioral Finance, Corporate Governance|

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.

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Self-Declared Benchmarks and Fund Manager Intent: “Cheating” or Competing?

By |February 20th, 2024|Research Insights, Basilico and Johnsen, Academic Research Insight, Behavioral Finance, Corporate Governance|

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.

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On the Persistence of Growth and Value Stocks

By |February 16th, 2024|Asset Growth, Research Insights, Larry Swedroe, Value Investing Research|

While analysts underwrite high growth for companies that have grown quickly and slow growth for companies that have grown slowly in the past, a large body of evidence demonstrates that reversion to the mean of both positive and negative abnormal earnings growth is the norm.

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Can ChatGPT Improve Your Stock Picks?

By |February 12th, 2024|Research Insights, Basilico and Johnsen, Academic Research Insight, AI and Machine Learning|

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.

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