【Author】 Gemayel, Roland; Preda, Alex
【Source】INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
【影响因子】8.235
【Abstract】We investigate the performance and learning ability of traders in an environment governed by ambiguity, such as the cryptocurrency market. Using a profit decomposition methodology, we find significant cross-sectional and temporal heterogeneity in performance. Traders do not learn to progressively increase the magnitude of returns; however, they are able to improve on their ability to realise profits as a mechanism of adaptation to survive through ambiguity. This adaptation increases as traders progress through their career. Moreover, we find evidence in support of the gambler's fallacy. We argue that learning in ambiguous environments has limitations, allowing traders primarily to survive.
【Keywords】Cryptocurrencies; Trading; Learning; Ambiguity; Performance appraisal; Skill
【发表时间】2021 OCT
【收录时间】2022-01-01
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