Pricing, Loss and Sensitivity Analysis of Barrier Options via Regression

Monte Carlo simulation methods for the valuation of financial instruments have become a staple of empirical economic analysis. A specific focus is dedicated to the feasibility of the stock price losses and barrier options as well as the sensitivity of partial time barrier options in dependence on their barrier values, which, to the best of our knowledge, hasn't been analysed in academic papers so far. This paper compares the performance of analytical results with empirical regression-based Monte Carlo outcomes, as proposed by Broadie et. al. (2015), where outer stage samples are used to generate financial risk factors and an inner stage simulation is applied to price the barrier options given the outer stage scenarios. Furthermore, potential correlation characteristics between portfolio pricing and loss regarding infinitesimal small changes in the underlying asset (Delta) are exhibited. Thus, a theoretical assumption approach to the explicit loss function is considered, as yet such an analytical loss function has not occurred in related literature