Lunch & Learn | Risk management with Local Least Squares Monte-Carlo
We are happy to invite you to participate in our next Lunch & Learn. This online session will take place on Tuesday, March 28, 2022 from 12:30 to 13:30 (UTC+1). It's FREE and OPEN to everyone.
Accreditation : 1 CPD | 6 PPC
It will be given in English by our Scientific Director, Donatien Hainaut and our TAP Consultant, Adnane Akbaraly
This Lunch & Learn will present our Detra Note about the same topic.
The method of least squares Monte-Carlo (LSMC) has become a standard in the insurance and financial sectors for computing the exposure of a company to market risk. The sensitive point of this procedure is the non-linear regression of simulated responses on risk factors. This article proposes a novel approach for this step, based on an a-priori segmentation of responses. Using a K-means algorithm, we identify clusters of responses that are next locally regressed on corresponding risk factors. A global function of regression is obtained by combining local models and a logistic regression. The efficiency of the Local Least squares Monte-Carlo (LLSMC) is checked in two illustrations. The first one focuses on butterfly and bull trap options in a Heston stochastic volatility model. The second illustration analyzes the exposure to risks of a participating life insurance.
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