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Discrete-valued Levy processes and low latency financial econometrics.

Abstract:
Motivated by features of low latency data in finance we study in detail discrete-valued Levy processes as the basis of price processes for high frequency econometrics. An important case of this is a Skellam process, which is the difference of two independent Poisson processes. We propose a natural generalisation which is the difference of two negative binomial processes. We apply these models in practice to low latency data for a variety of different types of futures contracts.

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Publisher:
Department of Economics (University of Oxford)
Series:
Discussion Paper Series
Publication date:
2010-06-01
Language:
English
UUID:
uuid:8a345c34-2c48-4331-8fff-5cc984bab2b1
Local pid:
oai:economics.ouls.ox.ac.uk:14811
Deposit date:
2011-08-16

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