Geman, Hélyette (2008) Stochastic clock and financial markets. In: Bensoussan, A. and Zhang, Q. (eds.) Mathematical Modellling and Numerical Methods in Finance. Handbook of Numerical Analysis 10.101. Amsterdam, The Netherlands: Elsevier, pp. 649-664. ISBN 9780444518798.Full text not available from this repository.
Brownian motion played a central role throughout the twentieth century in probability theory. The same statement is even truer in finance, with the introduction in 1900 by the French mathematician Louis Bachelier of an arithmetic Brownian motion (or a version of it) to represent stock price dynamics. This process was pragmatically transformed by Samuelson in 1965 into a geometric Brownian motion ensuring the positivity of stock prices. More recently, the elegant martingale property under an equivalent probability measure derived from the no-arbitrage assumption combined with Monroe's theorem on the representation of semimartingales has led to write asset prices as time-changed Brownian motion. Independently, Clark  had the original idea of writing cotton future prices as subordinated processes, with Brownian motion as the driving process. Over the last few years, time changes have been used to account for different speeds in market activity in relation to news arrival as the stochastic clock goes faster during periods of intense trading. They have also allowed us to uncover new classes of processes in asset price modeling.
|Item Type:||Book Section|
|School or Research Centre:||Birkbeck Schools and Research Centres > School of Business, Economics & Informatics > Economics, Mathematics and Statistics|
|Date Deposited:||01 Apr 2011 09:10|
|Last Modified:||17 Apr 2013 12:17|
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