Handbook of Quantitative Finance and Risk Management [PDF]
Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis.
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Financial Management Innovation in Hospital Groups: An Empirical Study of Ophthalmology Specialty Care Under Consolidation. [PDF]
Ye B, Pan X, Wu Z.
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Enhancing the pricing efficiency of financial assets with an optimized bayesian network based on efficient fusion. [PDF]
Fu Q, Li X.
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Explainable AI augmented retailer segmentation using knowledge graph. [PDF]
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A reproducible bibliometric-content analysis workflow for mapping research fields in computer science. [PDF]
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PROTOCOL: Advancing Agent Networks and Merchant Payments for Financial Inclusion in Low- and Middle-Income Countries (LMICs): An Evidence and Gap Map. [PDF]
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Dynamic financial tail risk networks: A backtesting-based conditional expected shortfall approach. [PDF]
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An ambitious global goal on adaptation for heritage. [PDF]
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The Role of Smart Governance in Mitigating Financial Risks in the Era of Artificial Intelligence: Evidence from Iraqi Banks. [PDF]
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