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This paper examines the main drawbacks of technical analysis. Although this is widely used by practitioners, from an academic perspective it can only be seen as a form of "voodoo finance". In particular, it runs into the following pitfalls: Subjectivity; Doubtful assumptions; Unjustified...
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Statistical learning models have profoundly changed the rules of trading on the stock exchange. Quantitative analysts try to utilise them predict potential profits and risks in a better manner. However, the available studies are mostly focused on testing the increasingly complex machine learning...
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when analysts forecast negative or large changes in EPS. We also compare the accuracy of a third forecast of longer …
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, and replicate internationally. It is difficult to explain the patterns with a unified risk theory. Some of the underlying …
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that more basic models such as GPT-1, GPT-2, and BERT cannot accurately forecast returns, indicating return predictability …
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It is assumed in the news-based model (NBM) that stock prices are determined with macroeconomic news (modeled with the total market return in the spirit of CAPM), industry news (modeled with the relevant industry ETF returns), and the company-specific news and momentum that are described using...
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