This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...
This article was written by Jerome Barkate, Nakul Nair, Zane Van Dusen, and Scott Coulter. We are witnessing a remarkable period in the credit markets. Following years of accommodative monetary ...
The six largest U.S. banks delivered broadly solid first-quarter 2026. Yet, the foundations of the next stress cycle are ...
A Berkeley-trained quantitative researcher who developed quantitative approaches to align internal credit assessments with ...
Qiping Wang; Raymond Yiu Keung Lau; Wai Ting Eric Ngai; Thatcher, Jason Bennett; Wei Xu. Consumers' Opinion Orientations and Their Credit Risk: An Econometric Analysis Enhanced by Multimodal Analytics ...
MUMBAI, Aug 5 (Reuters) - The Reserve Bank of India said on Monday that the entities it regulates will have to abide by certain broad principles when employing various credit models, as it attempts to ...
When it comes to credit risk monitoring, many banks find themselves falling behind the regulatory expectations. Regulators are expecting banks to take a more proactive approach, using forward-looking ...
About the author: Amit Seru is a senior fellow at the Hoover Institution and the Stanford Institute for Economic Policy Research and a Steven and Roberta Denning professor of finance at the Stanford ...
Artem Lalaiants is the Founder and CEO of RiskSeal with 10+ years in fintech and deep expertise in alternative credit risk scoring. Fraudsters used to exploit a lack of signals. Today, they exploit ...
Structural models of default are widely used to analyze corporate bond spreads, but have generally been unable to explain why risk premiums are as high as they are. This credit spread puzzle can be ...
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