That's Interesting

  • Greenwashing: Do Investors, Markets and Boards Really Care?

    What are the financial repercussions of corporate greenwashing? To answer this question, this article focuses on the impact of such ethically flawed practices on corporate stock market performance.

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  • Behavioral Machine Learning? Computer Predictions of Corporate Earnings also Overreact

    There is considerable evidence that machine learning algorithms have better predictive abilities than humans in various financial settings. But, the literature has not tested whether these algorithmic predictions are more rational than human predictions.

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  • Not even the machines are rational

    For 50 years, behavioural economics has thrown the gauntlet at the rational expectation hypothesis and the concept of homo economicus. But now, rationality could fight back. AI and machine learning algorithms have become so powerful that their forecasts can compete with analyst forecasts (at least before transaction costs) and these algorithms certainly aren’t biased like humans are. Or are they?

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  • Revealed Beliefs about Responsible Investing: Evidence from Mutual Fund Managers

    What do asset managers — a group of presumably sophisticated investors — believe regarding the financial performance of Environmental, Social, and Governance (ESG) investment strategies? This article addresses this question by exploring the relationship between US mutual fund managers’ incentives to deliver high returns and their portfolio ESG performance.

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  • Speed and Expertise in Stock Picking: Older, Slower, and Wiser?

    There are significant differences among sell-side analysts in how frequently they revise recommendations. This article shows that much of this variation is an analyst-individual trait, with analysts who change recommendations more slowly make recommendations that are more influential and generate better portfolio returns.

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  • Bloated Disclosures: Can ChatGPT Help Investors Process Financial Information?

    Generative AI tools such as ChatGPT can fundamentally change the way investors process information. A probe into the economic usefulness of these tools in summarizing complex corporate disclosures using the stock market as a laboratory, shows that unconstrained summaries are dramatically shorter, often by more than 70% compared to the originals, whereas their information content is amplified.

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  • Learning by Consuming

    Mutual fund managers increase investment allocations to companies manufacturing automobiles they have purchased. This effect is stronger (weaker) when these customer-managers have positive (negative) consumption experiences, as measured by repeat purchases (positive), brand switches, and swift resale after purchase (negative).

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  • Sensation Seeking and Hedge Funds

    This article shows that, motivated by sensation seeking, hedge fund managers who own powerful sports cars take on more investment risk but do not deliver higher returns, resulting in lower Sharpe ratios, information ratios, and alphas. Moreover, sensation-seeking managers trade more frequently, actively, and unconventionally, and prefer lottery-like stocks.

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  • Fortunate Timing: Scheduled Insider Trades, Earnings News, and Spin

    In a sample of scheduled (10b5-1 transactions) routine sales by insiders that occur between 2015 and 2020, we find evidence of an increased incidence of favorable earnings-related news occurring in the weeks leading up to large sale transactions (greater than $1 million).

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  • How to enjoy your retirement

    Coinciding with 30 years of compulsory superannuation, the start of a new financial year and the introduction of the Retirement Income Covenant, Firstlinks surveyed its readers to find out how they spend their retirement.

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