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This is a Quantitative Study study.

October 15, 2025Financial InnovationOpen Access

An integrated analysis for digital financial assets and artificial intelligence-based financial management using AI-based neuro quantum picture fuzzy rough sets and econometric modeling

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The study identifies effective tools for managing digital financial asset portfolios, aiding institutional investors in selection.
Using 416 daily observations from March 2022 to October 2023, statistical and fuzzy logic methods were developed.
The analysis highlights 1.54 billion USD in circulating digital financial assets in the Russian market, reflecting significant investment opportunities.
Volatility in the digital asset market poses challenges, as the observed price premium lacks statistical significance for the sample duration.

Authors

HDHasan DınçerKhazar University SYSerhat YükselKhazar University AMAlexey MikhaylovPlekhanov Russian University of Economics

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Implication

Integrated analysis reveals tools for optimizing digital financial assets in volatile markets, highlighting their significance for institutional investors.

Cite This Study

Dınçer et al. (2025) studied this question.

synapsesocial.com/papers/68ef858cc6a308ba063555e6 https://doi.org/10.1186/s40854-025-00793-w

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Implication

Integrated analysis reveals tools for optimizing digital financial assets in volatile markets, highlighting their significance for institutional investors.

An integrated analysis for digital financial assets and artificial intelligence-based financial management using AI-based neuro quantum picture fuzzy rough sets and econometric modeling

Key Points

Discussion

Implication

Cite This Study

An integrated analysis for digital financial assets and artificial intelligence-based financial management using AI-based neuro quantum picture fuzzy rough sets and econometric modeling

Key Points

Discussion

Implication

Cite This Study

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