SOFR Term Structure Dynamics - Discontinuous Short Rates and Stochastic Volatility Forward Rates

42 Pages Posted: 21 Nov 2022

See all articles by Alan Brace

Alan Brace

Independent

Karol Gellert

University of Technology Sydney (UTS) - Quantitative Finance Research Centre

Erik Schlögl

University of Technology Sydney (UTS), Quantitative Finance Research Centre; University of Cape Town (UCT) - The African Institute of Financial Markets and Risk Management; Faculty of Science, Department of Statistics, University of Johannesburg; Financial Research Network (FIRN)

Date Written: November 7, 2022

Abstract

As more and more jurisdictions transition from LIBOR-type interest rate benchmarks to new riskfree rate (RFR) benchmarks based on overnight rates, such as SOFR in the US, it is important to adapt interest rate term structure models to reflect this. In particular, overnight rates are largely driven by monetary policy and thus display dynamics that are (at least to first order) piecewise constant between central bank rate decisions, while forward rates continue to evolve in a more diffusive fashion. We construct a tractable multifactor, stochastic volatility term structure model which incorporates these features. Calibrating to prices for options on SOFR futures, we achieve a good fit to the market across available maturities and strikes in a single, consistent model. The model also provides novel insights into SOFR term rate behaviour (and implied volatilities) within the SOFR term rate accrual periods, as well as into empirical mean reversion dynamics.

Keywords: SOFR, EFFR, Fed Funds, interest rate term structure modelling, interest rate futures, interest rate options

JEL Classification: G13, G18, E43

Suggested Citation

Brace, Alan and Gellert, Karol and Schloegl, Erik, SOFR Term Structure Dynamics - Discontinuous Short Rates and Stochastic Volatility Forward Rates (November 7, 2022). Available at SSRN: https://ssrn.com/abstract=4270811 or http://dx.doi.org/10.2139/ssrn.4270811

Alan Brace

Independent

Karol Gellert

University of Technology Sydney (UTS) - Quantitative Finance Research Centre ( email )

P.O. Box 123
Sydney
Australia

Erik Schloegl (Contact Author)

University of Technology Sydney (UTS), Quantitative Finance Research Centre ( email )

Ultimo
PO Box 123
Sydney, NSW 2007
Australia
+61 2 9514 2535 (Phone)

HOME PAGE: http://www.schlogl.com

University of Cape Town (UCT) - The African Institute of Financial Markets and Risk Management ( email )

Leslie Commerce Building
Rondebosch
Cape Town, Western Cape 7700
South Africa

Faculty of Science, Department of Statistics, University of Johannesburg ( email )

Auckland Park, 2006
South Africa

Financial Research Network (FIRN)

C/- University of Queensland Business School
St Lucia, 4071 Brisbane
Queensland
Australia

HOME PAGE: http://www.firn.org.au

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