Results 171 to 180 of about 8,519,632 (410)
Distressed debt in Germany: What's next? Possible innovative exit strategies [PDF]
During the past two years, private equity funds have acquired substantial portfolios of nonperforming loans from banks in Germany. Typically a private equity investor does not commit funds unless exit strategies are clearly defined.
Dickler, Robert A., Schalast, Christoph
core
Wages and Risk-Taking in Occupational Credit Unions: Theory and Evidence [PDF]
, 1999 William R. Emmons, Frank A. Schmid
openalex +1 more source
Illiquidity Component of Credit Risk
, 2016 We describe and contrast three dierent measures of an institu- tion's credit risk. \Insolvency risk" is the conditional probability of default due to deterioration of asset quality if there is no run by short term creditors.
S. Morris, H. Shin
semanticscholar +1 more source
Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
Advanced Intelligent Systems, EarlyView.This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen +4 more
wiley +1 more source
Credit Risk Assessment Model for UAE Commercial Banks: A Machine Learning Approach [PDF]
National Undergraduate Research, Abu Dhabi University - 2021Credit ratings are becoming one of the primary references for financial institutions of the country to assess credit risk in order to accurately predict the likelihood of business failure of an individual or an enterprise. Financial institutions, therefore, depend on credit rating tools and services to help them predict the ability of creditors to meet
arxiv
Sovereign credit ratings, emerging market risk and financial market volatility: A commentary [PDF]
, 1998 Bernd Schnatz
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Advanced Intelligent Systems, EarlyView.This paper presents a novel Multi‐Distance Spatial‐Temporal Graph Neural Network for detecting anomalies in blockchain transactions. The model combines multi‐distance graph convolutions with adaptive temporal modeling to capture complex patterns in anonymized cryptocurrency networks.
Shiyang Chen +4 more
wiley +1 more source
Credit Risk and the Yen Interest Rate Swap Market [PDF]
, 2000 Young Ho Eom +2 more
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Artificial Intelligences: A Bridge Toward Diverse Intelligence and Humanity's Future
Advanced Intelligent Systems, EarlyView.Many discussions of artificial intelligence fail to address deeper questions being raised by advances in developmental biology, neuroscience, bioengineering, and philosophy of mind. Novel beings, including technologically and biologically augmented humans, engineered life forms, hybrots, and others, require tools of the emerging field of diverse ...
Michael Levin
wiley +1 more source
A More General Quantum Credit Risk Analysis Framework. [PDF]
Entropy (Basel), 2023 Dri E +6 more
europepmc +1 more source