activity
20192021
most citedBias-Corrected Peaks-Over-Threshold Estimation of the CVaR

3 citations · 6 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2021

Risk averse non-stationary multi-armed bandits

Leo Benac, Frédéric Godin

This paper tackles the risk averse multi-armed bandits problem when incurred losses are non-stationary. The conditional value-at-risk (CVaR) is used as the objective function. Two…

q-fin.CP2021

Deep equal risk pricing of financial derivatives with non-translation invariant risk measures

Alexandre Carbonneau, Frédéric Godin

The use of non-translation invariant risk measures within the equal risk pricing (ERP) methodology for the valuation of financial derivatives is investigated. The ability to move b…

stat.ME20213 cited

Bias-Corrected Peaks-Over-Threshold Estimation of the CVaR

Dylan Troop, Frédéric Godin, Jia Yuan Yu

The conditional value-at-risk (CVaR) is a useful risk measure in fields such as machine learning, finance, insurance, energy, etc. When measuring very extreme risk, the commonly us…

q-fin.CP20213 cited

Deep Equal Risk Pricing of Financial Derivatives with Multiple Hedging Instruments

Alexandre Carbonneau, Frédéric Godin

This paper studies the equal risk pricing (ERP) framework for the valuation of European financial derivatives. This option pricing approach is consistent with global trading strate…

q-fin.CP2020

Equal Risk Pricing of Derivatives with Deep Hedging

Alexandre Carbonneau, Frédéric Godin

This article presents a deep reinforcement learning approach to price and hedge financial derivatives. This approach extends the work of Guo and Zhu (2017) who recently introduced…

stat.ML2019

Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaR

Dylan Troop, Frédéric Godin, Jia Yuan Yu

In a wide variety of sequential decision making problems, it can be important to estimate the impact of rare events in order to minimize risk exposure. A popular risk measure is th…