Authors: P Tardelli
Publish Date: 2007/10/12
Volume: 99, Issue: 2, Pages: 205-220
Abstract
An ultrahighfrequency data model on financial asset price movements is considered This model allows us to relate the changes in price volatility and trading activity to news or information arrivals The underlying event arrivals process is assumed to be unobserved by the market agents Then the study of the riskminimizing hedgingstrategies for derivatives under partial information bring us to a nonlinear filtering problem Taking into account the weak form of market efficiency under some Markovianity assumptions classical filtering techniques are used to evaluate the riskminimizing hedgingstrategies
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