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Machine Learning Versus Fundamental Investment Analysis: A Meta-Analysis

Rothman, Ties (2021) Machine Learning Versus Fundamental Investment Analysis: A Meta-Analysis.

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Abstract:The performance of machine learning algorithms in financial asset pricing is assessed through a meta-analysis in which the results of previous research is combined. The meta-analysis consisted of a research sample of 63 research papers on the application of machine learning algorithms in stock pricing, option pricing, and bond pricing. The 63 research papers aided in accepting the three sub-hypotheses, that machine learning algorithms are associated with higher pricing performance than traditional financial asset pricing tools, and the main hypothesis, that machine learning algorithms outperform fundamental investment analysis.
Item Type:Essay (Bachelor)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:85 business administration, organizational science
Programme:International Business Administration BSc (50952)
Link to this item:http://purl.utwente.nl/essays/87928
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