Market Probability of Interest Rate Tick Movements

Journal of Derivatives, 2025

Posted: 9 Aug 2022 Last revised: 3 Apr 2024

See all articles by Anxin Liu

Anxin Liu

Shanghai University of Economics and Finance

Zhanyu Chen

London School of Economics & Political Science (LSE)

Kai Zhang

JPMorgan Chase & Co

Hongbiao Zhao

Shanghai University of Finance and Economics; London School of Economics & Political Science (LSE)

Date Written: June 28, 2022

Abstract

This paper introduces an analytically tractable model for modelling interest-rate tick movements and pricing interest-rate options in closed forms. We derive all higher-order moments analytically, and also equivalent martingale measures and their unique optimal measure in an incomplete market. It is applied to options on loan prime rates (LPR), the foremost benchmark interest rates that matter to almost all businesses and households in China. Empirically, by reverse engineering, our new option-pricing model is flexible enough to extract the market's forward-looking information from option prices, and reveals the evolution of market's views on future interest rate movements with tick effect.

Keywords: Policy rate, China's markets, Loan prime rate (LPR), Loan prime rate option, Delta negative binomial models, Delta negative binomial (DNB) distribution, Risk-neutral probability mass distribution, Incomplete market, Optimal martingale measure, Minimal entropy measure, Convexity adjustment

JEL Classification: G13, G12, E43, C51, C58

Suggested Citation

Liu, Anxin and Chen, Zhanyu and Zhang, Kai and Zhao, Hongbiao, Market Probability of Interest Rate Tick Movements (June 28, 2022). Journal of Derivatives, 2025, Available at SSRN: https://ssrn.com/abstract=4181092 or http://dx.doi.org/10.2139/ssrn.4181092

Anxin Liu

Shanghai University of Economics and Finance ( email )

Zhanyu Chen

London School of Economics & Political Science (LSE)

Houghton Street
London, WC2A 2AE
United Kingdom

Kai Zhang

JPMorgan Chase & Co ( email )

London
United Kingdom

Hongbiao Zhao (Contact Author)

Shanghai University of Finance and Economics ( email )

No. 777 Guoding Road
Yangpu District
Shanghai, Shanghai 200433
China

HOME PAGE: http://hongbiaozhao.weebly.com/

London School of Economics & Political Science (LSE)

Houghton Street
London, WC2A 2AE
United Kingdom

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