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On the functional estimation of jump-diffusion models

机译:关于跳跃扩散模型的函数估计

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We provide a general asymptotic theory for the fully functional estimates of the infinitesimal moments of continuous-time models with discontinuous sample paths of the jump-diffusion type. Minimal requirements are placed on the dynamic properties ofthe underlying jump-diffusion process, i.e., slationarity is not required. Our theoretical framework justifies consistent (in a statistical sense) nonparametric extraction of the parameters and functions that drive the dynamic evolution of the process ofinterest (i.e., the potentially nonaffinc and level-dependent intensity of the jump arrival being an example) from the estimated infinitesimal conditional moments as suggested in Johannes, 2003 (The statistical and economic role of jumps in continuous-time interest rate models. Journal of Finance, forthcoming).
机译:我们提供了具有跳跃扩散类型的不连续样本路径的连续时间模型的无穷小时刻的全函数估计的一般渐近理论。对基本的跳跃扩散过程的动态特性提出了最低要求,即不需要固定性。我们的理论框架证明了从估计的无穷小中一致地(在统计意义上)非参数提取参数和函数,这些参数和函数驱动着感兴趣过程的动态演化(例如,跳跃到达的潜在非亲和性和依赖于水平的强度为例)如约翰内斯(Johannes,2003)所建议的那样,建立条件性矩(连续时间利率模型中跳跃的统计和经济作用。《金融杂志》,即将出版)。

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