Dynamic portfolio choice with uncertain rare-events risk in stock and cryptocurrency markets

被引:0
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作者
Wujun Lv
Tao Pang
Xiaobao Xia
Jingzhou Yan
机构
[1] Donghua University,Department of Statistics, College of Science
[2] North Carolina State University,Department of Mathematics
[3] Fudan University,School of Economics
[4] Sichuan University,School of Economics
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关键词
Robust portfolio choice; Detection error probability; Rare events; Ambiguity; Cryptocurrency; Welfare loss; D81; G11; G41;
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摘要
In response to the unprecedented uncertain rare events of the last decade, we derive an optimal portfolio choice problem in a semi-closed form by integrating price diffusion ambiguity, volatility diffusion ambiguity, and jump ambiguity occurring in the traditional stock market and the cryptocurrency market into a single framework. We reach the following conclusions in both markets: first, price diffusion and jump ambiguity mainly determine detection-error probability; second, optimal choice is more significantly affected by price diffusion ambiguity than by jump ambiguity, and trivially affected by volatility diffusion ambiguity. In addition, investors tend to be more aggressive in a stable market than in a volatile one. Next, given a larger volatility jump size, investors tend to increase their portfolio during downward price jumps and decrease it during upward price jumps. Finally, the welfare loss caused by price diffusion ambiguity is more pronounced than that caused by jump ambiguity in an incomplete market. These findings enrich the extant literature on effects of ambiguity on the traditional stock market and the evolving cryptocurrency market. The results have implications for both investors and regulators.
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