Download this Complimentary Numerix Research

Traditional methods for the stochastic alpha beta rho model tend to focus on expansion approximations that are inaccurate in the long maturity ‘wings’. However, if the Brownian motions driving the forward and its volatility are uncorrelated, option prices are analytically tractable. In the correlated case, model parameters can be mapped to a mimicking uncorrelated model for accurate option pricing.

Numerix authors Dr. Alexander Antonov, SVP of Quantitative Research, Dr. Michael Konikov, Executive Director Quantitative Development, andDr. Michael Spector, Director of Quantitative Research explain how in this cutting edge research published in Risk Magazine.

Highlights include an analysis of the following:

  • Stochastic Alpha Beta Rho (SABR) model and its widespread usage to capture volatility skew and smile effects of interest rate options
  • How traditional methods focus on expansion approximations that are not accurate when it comes to the longer maturity ‘wings’
  • How model parameters can be mapped to a mimicking uncorrelated model for accurate option pricing
  • How the Numerix approach is precise and near arbitrage-free, consistent with theoretical SABR, and still reasonably fast

Download Numerix Research Paper

Complete the form below to download this complimentary research paper.

Select Form: 

Form #5: Research

Keep me informed of future research from Numerix:

Sign me up to receive "Thinking Derivatively" monthly newsletter by Numerix:

* Required fields
journal issue

Numerix Journal Vol. 9, No. 1

journal issue

Numerix Journal Vol. 8, No. 1

conference

Asia Risk Congress Virtual

video blog

Numerix: Pushing Boundaries to Create Breakthrough Technology

product

CrossAsset Structured Finance

conference

Asia Risk Congress

product

CrossAsset - Leading the Industry in Advanced Models and Methods

content collection

Numerix Quant Tech Resource Hub

on-demand webinar

SRP Europe Conference 2021: Optimizing Financial Valuations to Improve Investor Experience

on-demand webinar

QuantMinds 2020: Modelling Energy Curves for XVA

conference

QuantMinds in Focus

on-demand webinar

Quantitative R&D Innovations Update