{"title":"HOW LARGE IS THE JUMP DISCONTINUITY IN THE DIFFUSION COEFFICIENT OF A TIME-HOMOGENEOUS DIFFUSION?","authors":"C. Robert","doi":"10.1017/S0266466622000214","DOIUrl":null,"url":null,"abstract":"We consider high-frequency observations from a one-dimensional time-homogeneous diffusion process Y. We assume that the diffusion coefficient \n$\\sigma $\n is continuously differentiable in y, but with a jump discontinuity at some level y, say \n$y=0$\n . We first study sign-constrained kernel estimators of functions of the left and right limits of \n$\\sigma $\n at \n$0$\n . These functions intricately depend on both limits. We propose a method to extricate these functions by searching for bandwidths where the kernel estimators are stable by iteration. We finally provide an estimator of the discontinuity jump size. We prove its convergence in probability and discuss its rate of convergence. A Monte Carlo study shows the finite sample properties of this estimator.","PeriodicalId":49275,"journal":{"name":"Econometric Theory","volume":"39 1","pages":"848 - 880"},"PeriodicalIF":1.0000,"publicationDate":"2022-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometric Theory","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1017/S0266466622000214","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 1
Abstract
We consider high-frequency observations from a one-dimensional time-homogeneous diffusion process Y. We assume that the diffusion coefficient
$\sigma $
is continuously differentiable in y, but with a jump discontinuity at some level y, say
$y=0$
. We first study sign-constrained kernel estimators of functions of the left and right limits of
$\sigma $
at
$0$
. These functions intricately depend on both limits. We propose a method to extricate these functions by searching for bandwidths where the kernel estimators are stable by iteration. We finally provide an estimator of the discontinuity jump size. We prove its convergence in probability and discuss its rate of convergence. A Monte Carlo study shows the finite sample properties of this estimator.
Econometric TheoryMATHEMATICS, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY
CiteScore
1.90
自引率
0.00%
发文量
52
审稿时长
>12 weeks
期刊介绍:
Since its inception, Econometric Theory has aimed to endow econometrics with an innovative journal dedicated to advance theoretical research in econometrics. It provides a centralized professional outlet for original theoretical contributions in all of the major areas of econometrics, and all fields of research in econometric theory fall within the scope of ET. In addition, ET fosters the multidisciplinary features of econometrics that extend beyond economics. Particularly welcome are articles that promote original econometric research in relation to mathematical finance, stochastic processes, statistics, and probability theory, as well as computationally intensive areas of economics such as modern industrial organization and dynamic macroeconomics.