Levy Random Bridges and the Modelling of Financial Information
Edward Hoyle, Lane P. Hughston, Andrea Macrina

TL;DR
This paper extends the information-based asset-pricing framework by introducing Levy random bridges to model market information flow, providing explicit asset and option pricing formulas within this generalized setting.
Contribution
It introduces Levy random bridges as a new class of information processes, generalizing previous models, and derives explicit pricing formulas for assets and options.
Findings
Explicit asset price process derived using Levy random bridges
European option prices computed within the new framework
Generalization of information processes beyond Brownian and gamma bridges
Abstract
The information-based asset-pricing framework of Brody, Hughston and Macrina (BHM) is extended to include a wider class of models for market information. In the BHM framework, each asset is associated with a collection of random cash flows. The price of the asset is the sum of the discounted conditional expectations of the cash flows. The conditional expectations are taken with respect to a filtration generated by a set of "information processes". The information processes carry imperfect information about the cash flows. To model the flow of information, we introduce in this paper a class of processes which we term Levy random bridges (LRBs). This class generalises the Brownian bridge and gamma bridge information processes considered by BHM. An LRB is defined over a finite time horizon. Conditioned on its terminal value, an LRB is identical in law to a Levy bridge. We consider in…
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Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis · Financial Risk and Volatility Modeling
