Risk Magazine Cutting Edge Research Article | Funding Valuation Adjustment for General Instruments
quantitative research

Risk Magazine Cutting Edge Research Article | Funding Valuation Adjustment for General Instruments

In this Cutting Edge research article published in the November 2015 Issue of Risk Magazine, Drs Alexandre Antonov, Marco Bianchetti and Ion Mihai develop a universal and efficient approach to numerical FVA calculation for portfolios of general instruments with multiple stochastic assets and funding sources.

The authors presented a generalized pricing framework, where the replication portfolio is split between general, non-linear functions of the portfolio value, funded with different rates, based on Antonov, Bianchetti & Mihai (2013).

In this paper, they also proposed an implementation framework for the calculation of the FVA, which provides a practical and very accurate approximation for portfolios containing both vanilla and exotic instruments. Finally, they presented the numerical results for the FVA of a partially collateralized Bermudan swaption, showcasing the high accuracy of the approximation.

Authors: Alexandre Antonov, Marco Bianchetti, Ion Mihai

In this Cutting Edge research article published in the November 2015 Issue of Risk Magazine, Drs Alexandre Antonov, Marco Bianchetti and Ion Mihai develop a universal and efficient approach to numerical FVA calculation for portfolios of general instruments with multiple stochastic assets and funding sources.

The authors presented a generalized pricing framework, where the replication portfolio is split between general, non-linear functions of the portfolio value, funded with different rates, based on Antonov, Bianchetti & Mihai (2013).

In this paper, they also proposed an implementation framework for the calculation of the FVA, which provides a practical and very accurate approximation for portfolios containing both vanilla and exotic instruments. Finally, they presented the numerical results for the FVA of a partially collateralized Bermudan swaption, showcasing the high accuracy of the approximation.

Authors: Alexandre Antonov, Marco Bianchetti, Ion Mihai

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