An early practitioner of using advanced Statistics for evaluating financing transactions
Principal investing in fixed income/mezzanine instruments, chiefly in the area of high yield debt (real estate instruments), structuring credit investments, loan against shares and promoter financing, credit ...
more
An early practitioner of using advanced Statistics for evaluating financing transactions
Principal investing in fixed income/mezzanine instruments, chiefly in the area of high yield debt (real estate instruments), structuring credit investments, loan against shares and promoter financing, credit analysis of riskier and stressed credits, infrastructure project finance, junior tranches of securitisations (assessment of retail pools), credit analysis of different tiers of bank capital, distressed assets as well as fixed income derivatives such as credit default swaps. Credit investing (investment grade and distressed) by identifying value through analyzing if the underlying credit story holds under rigorous balance sheet analysis.
Quantitative Credit Analysis: Analytic Framework for Algorithmic Credit Analysis for P2P lending- Early practitioner of algorithmic credit analysis when I set up a neural network for dealer credit assessment of a paint company in 2003. Created a binary classification based retail credit risk assessment model.
Check out https://crediteye.files.wordpress.com/2011/06/stories-in-credit-analysis2.pdf for my thoughts on Credit Analysis
less