Consider a spectrally negative Levy process with unknown diffusion coefficient and Levy measure and suppose that the high frequency trading data is given. We use the techniques of threshold estimation and regularized Laplace inversion to obtain the estimator of survival probability for a spectrally negative Levy process. The asymptotic properties are given for the proposed estimator. Simulation studies are also given to show the finite sample performance of our estimator.
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机译:考虑一个扩散系数和 Levy 测度未知的谱负 Levy 过程,并假设给出了高频交易数据。我们使用阈值估计和正则化拉普拉斯反演技术来获得谱负Levy过程的生存概率估计器。给出了所提出的估计器的渐近属性。还给出了仿真研究,以显示我们的估计器的有限样本性能。
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