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How much is the gap?—Efficient jump risk-adjusted valuation of leveraged certificates

Ally Quan Zhang and Matthias Thul

Quantitative Finance, 2017, vol. 17, issue 9, 1387-1401

Abstract: This paper develops a novel and highly efficient numerical algorithm for the gap risk-adjusted valuation of leveraged certificates. The existing literature relies on Monte Carlo simulations, which are not fast enough to be used in a market-making environment. This is because issuers need to compute thousands of price updates per second. By valuing leveraged certificates as multi-window barrier options, we explicitly model random jumps that occur at known times, such as between the exchange closing and re-opening. Our algorithm combines the one-day transition probability with Simpson’s numerical integration rule. This yields a backward induction scheme which requires a significantly coarser spatial and time grid than finite-difference methods. We confirm its robustness and accuracy through Monte Carlo simulations.

Date: 2017
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DOI: 10.1080/14697688.2016.1276299

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