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Unifying Market Microstructure and Dynamic Asset Pricing
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We introduce a discrete binary tree for pricing contingent claims with the underlying security prices exhibiting history dependence characteristic of that induced by market microstructure phenomena. Example dependencies considered include moving average or autoregressive behavior. Our model is market-complete, arbitrage-free, and preserves all of the parameters governing the historical (natural world) price dynamics when passing to an equivalent martingale (risk-neutral) measure. Specifically, this includes the instantaneous mean and variance of the asset return and the instantaneous probabilities for the direction of asset price movement. We believe this is the first paper to demonstrate the ability to include market microstructure effects in dynamic asset/option pricing in a market-complete, no-arbitrage, format.
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Cited by 1 Pith paper
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Binary Tree Option Pricing Under Market Microstructure Effects: A Random Forest Approach
A Random Forest-based binomial tree is proposed to inject market microstructure into option pricing, but the delivered implementation reduces to a 20-state tree and the 13.79% Black-Scholes gap is a fitted, unvalidate...
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