Convexity Adjustments for ATS Models

Agatha Murgoci, Raquel M. Gaspar

Research output: Working paperResearch

Abstract

Practitioners are used to value a broad class of exotic interest rate derivatives simply by preforming for what is known as convexity adjustments (or convexity corrections). We start by exploiting the relations between various interest rate models and their connections to measure changes. As a result we classify convexity adjustments into forward adjustments and swaps adjustments.

We, then, focus on affine term structure (ATS) models and, in this context, conjecture convexity adjustments should be related of affine functionals. In the case of forward adjustments, we show how to obtain exact formulas. Concretely for LIBOR in arrears (LIA) contracts, we derive the system of Riccatti ODE-s one needs to compute to obtain the exact adjustment. Based upon the ideas of Schrager and Pelsser (2006) we are also able to derive general swap adjustments useful, in particular, when dealing with constant maturity swaps (CMS).
Original languageEnglish
Place of Publicationwww
PublisherSSRN: Social Science Research Network
Number of pages18
Publication statusPublished - 16 Dec 2010
SeriesISEG Advance Working Paper
NumberNo. 9
Volume2008

Keywords

  • Affine Term Structure
  • Convexity Adjustments
  • CMS
  • Libor in Arrears

Cite this

Murgoci, A., & Gaspar, R. M. (2010). Convexity Adjustments for ATS Models. www: SSRN: Social Science Research Network. ISEG Advance Working Paper, No. No. 9, Vol.. 2008
Murgoci, Agatha ; Gaspar, Raquel M. / Convexity Adjustments for ATS Models. www : SSRN: Social Science Research Network, 2010. (ISEG Advance Working Paper; No. No. 9, Vol. 2008).
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Murgoci, A & Gaspar, RM 2010 'Convexity Adjustments for ATS Models' SSRN: Social Science Research Network, www.

Convexity Adjustments for ATS Models. / Murgoci, Agatha; Gaspar, Raquel M.

www : SSRN: Social Science Research Network, 2010.

Research output: Working paperResearch

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Murgoci A, Gaspar RM. Convexity Adjustments for ATS Models. www: SSRN: Social Science Research Network. 2010 Dec 16.