Economy – Quantitative Finance – Statistical Finance
Scientific paper
2010-10-21
Annals of Applied Probability 2010, Vol. 20, No. 4, 1425-1469
Economy
Quantitative Finance
Statistical Finance
Published in at http://dx.doi.org/10.1214/09-AAP654 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Inst
Scientific paper
10.1214/09-AAP654
We consider a process $X_t$, which is observed on a finite time interval $[0,T]$, at discrete times $0,\Delta_n,2\Delta_n,\ldots.$ This process is an It\^{o} semimartingale with stochastic volatility $\sigma_t^2$. Assuming that $X$ has jumps on $[0,T]$, we derive tests to decide whether the volatility process has jumps occurring simultaneously with the jumps of $X_t$. There are two different families of tests for the two possible null hypotheses (common jumps or disjoint jumps). They have a prescribed asymptotic level as the mesh $\Delta_n$ goes to $0$. We show on some simulations that these tests perform reasonably well even in the finite sample case, and we also put them in use on S&P 500 index data.
Jacod Jean
Todorov Viktor
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