Can the Collateral Value of a Data Asset Be Increased by Insurance?
Nan Zhang,
Chunjuan Qiu (),
Xianyi Wu and
Yongchao Zhao
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Nan Zhang: Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University, Shanghai 200062, China
Chunjuan Qiu: Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University, Shanghai 200062, China
Xianyi Wu: Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University, Shanghai 200062, China
Yongchao Zhao: Shanghai Data Exchange, Shanghai 200135, China
Mathematics, 2025, vol. 13, issue 22, 1-14
Abstract:
As an emerging production factor, data assets are gaining strategic prominence, yet their application in collateralized financing faces persistent challenges, including illiquidity and risk evaluation complexities. This study introduces an innovative P max model to enhance the Collateral Value of data assets through insurance mechanisms, systematically demonstrating the feasibility conditions under which risk transfer optimizes asset valuation and delineating implementation pathways to integrate data insurance with asset-backed financing. Building on the theoretical framework of Value-at-Risk (VaR), this study develops a dynamic valuation model to assess the value of the collateral before and after insurance. Our analysis shows that insurance coverage for potential losses significantly enhances financing viability when premiums satisfy P max . Empirical analysis employing Monte Carlo simulations reveals a nonlinear positive correlation between pledgees’ risk tolerance thresholds and the maximum acceptable premium P max . This study bridges theoretical gaps in understanding insurance-value relationships for data assets while providing conceptual foundations and operational blueprints to standardize data markets and foster financial innovation.
Keywords: data asset insurance; Value at Risk; collateral value (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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