Implications of a generic no-arbitrage condition on restructuring missing data

In this paper we determine the impact of a no-arbitrage condition on parameter estimation using models which otherwise possibly yield arbitrage opportunities. By establishing a positive impact on the overall out-of-sample fit, we aim to assist banks in their dual goal to implement a proxy methodology which generates sufficiently realistic market risk scenarios, and to gain the approval of the regulator to apply the methodology.