In this article, we study the algorithmic calculation of present values greeks for callable exotic instruments. The speed of greeks evaluations becomes important with recent initial margin rules, including the ISDA standard model SIMM, requiring sensitivity calculations for non-cleared deals (e.g. callable exotic/structured products) for a large set of risk factors and on a daily basis.

In general, present values of callable trades are obtained by the backward repetitive application of conditional expectation via least-squares Monte Carlo (regression) and arithmetic operations encoded in so called pricing (payoff) script. By nature, this pricing procedure is known to be computationally intensive leading to very slow greeks, if computed by a simple bump-and-reprice. The fast alternative is the adjoint differentiation (AD) method. However, a direct application of the AD is not straightforward because regressions introduce path interdependency, whereas traditional AD is applied on a path-by-path basis.

We describe how to extend the traditional AD method to include the regressions. Usually, the procedure must include the recording of information in a data structure, often referred to as the instrument tape, during the backward pricing. This is followed by a subsequent “playback” of the tape in which the recorded information is used to compute the greeks. The tape adds a significant complexity to the AD implementation and can introduce memory issues (due to the significant storage demands), coding and debugging difficulties, etc.

Next, we propose a new tapeless differentiation method, called backward differentiation (BD), for exotic deals. It is applied during the backward pricing procedure following the payoff script. Importantly, it completely avoids the tape and all of its related complications.

We demonstrate the efficiency of the BD on the example of a Bermudan swaption calculated with a one-factor Hull-White model. For 50–100 greeks, the BD calculation time is only 2–6 times slower than a single pricing which leads to up 20 times acceleration with respect to the bump-and-reprice. We also give a numerical convergence analysis demonstrating the high quality of the BD greeks.

Complete the form to download this research paper, “Algorithmic Differentiation for Callable Exotics”

About the Author:

Dr. Alexandre Antonov
Dr. Antonov was recently recognized with the honor of Risk Magazine’s 2016 Quant of the Year. He first began studying Physics
and Mathematics at the Moscow Institute of Physics and Technology, followed by the Landau Institute for Theoretical Physics (PhD in 1997) and The Laboratory of Theoretical and High Energy Physics at the University of Paris VI. In March 1998 Alexandre he joined Numerix based in Paris taking on a number of positions during his tenure with the company including Quantitative Analyst, Senior Quantitative Analyst, Vice President and Senior Vice President. During the course of his career Dr. Antonov has had over twenty articles published in industry journals, including six that have appeared on the pages of Risk Magazine.

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 "Derivative Insights & Innovations" monthly newsletter by Numerix:

* Required fields
white paper

FRTB: The Technology Considerations and What You Need to Know

on-demand webinar

Electronification of Illiquid Markets in Asia

on-demand webinar

Electronification of Illiquid Markets: Can Structured Products and Exotics become a Flow Business?

in the news - Mar 9, 2017

HedgeWeek | Numerix Acquires TFG Financial Systems

in the news - Mar 9, 2017

Risk Tech Forum | Numerix Acquires TFG Financial Systems

in the news - Mar 9, 2017

Banking Technology | Fintech acquisition round-up: 9 March 2017

in the news - Mar 9, 2017

FTF News | Numerix to Expand Wares via TFG Acquisition

in the news - Mar 8, 2017

Finance Magnates | Numerix Acquires TFG Financial Systems

in the news - Mar 8, 2017

HFM | Cloud firm Numerix acquires TFG Financial Systems

in the news - Mar 8, 2017

Waters Technology | Numerix Acquires TFG Financial Systems

product collateral

Numerix CrossAsset Fact Sheet

written blog

The Electronification of Capital Markets—Not Just for Tier I Institutions