2008/07/31 by Stefan Dirnstorfer, Dirnstorfer, Stefan, Andreas J. Grau +1
Decision Sciences · Economics, Econometrics and Finance · #Computational Engineering #FOS: Computer and information sciences #Finance #Simulation Techniques and Applications #Stochastic processes and financial applications #and Science (cs.CE)
paper · pdf · doi:10.48550/arxiv.0807.5120
openalex publication_date 2008/07/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper covers a massive acceleration of Monte-Carlo based pricing method for financial products and financial derivatives. The method is applicable in risk management settings, where a financial product has to be priced under a number of potential future scenarios. Instead of starting a separate nested Monte Carlo simulation for each scenario under consideration, the new method covers the utilization of very few representative nested simulations and estimating the product prices at each scenario by a smoothing method based on the state-space. This smoothing technique can be e.g. non-parametric regression or kernel smoothing.