Evidence map›Paper›PMID 37033296›Full record

ArticleFinancial innovation2023

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

Wujun Lv, Tao Pang, Xiaobao Xia, Jingzhou Yan

Abstract read
In one paragraph

Article in Financial innovation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Wujun LvDepartment of Statistics, College of Science, Donghua University, No. 2999 Renmin North Road, Songjiang District, Shanghai, 201620 China.
Tao PangDepartment of Mathematics, North Carolina State University, 2311 Stinson Drive, Raleigh, NC 27695-8205 USA.
Xiaobao XiaSchool of Economics, Fudan University, 600 Guoquan Road, Shanghai, 200433 China.
Jingzhou YanSchool of Economics, Sichuan University, 24 South Section 1, Yihuan Road, Chengdu, 610065 Sichuan China.ORCID 0000-0003-1303-5168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AmbiguityCryptocurrencyDetection error probabilityRare eventsRobust portfolio choiceWelfare loss

Identifiers

PMID37033296
PMCPMC10073631

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.