AN ASYMPTOTIC THEORY FOR JUMP DIFFUSION MODELS

IF 1 4区 经济学 Q3 ECONOMICS Econometric Theory Pub Date : 2024-04-02 DOI:10.1017/s0266466624000069
Minsoo Jeong, Joon Y. Park
{"title":"AN ASYMPTOTIC THEORY FOR JUMP DIFFUSION MODELS","authors":"Minsoo Jeong, Joon Y. Park","doi":"10.1017/s0266466624000069","DOIUrl":null,"url":null,"abstract":"<p>This paper presents an asymptotic theory for recurrent jump diffusion models with well-defined scale functions. The class of such models is broad, including general nonstationary as well as stationary jump diffusions with state-dependent jump sizes and intensities. The asymptotics for recurrent jump diffusion models with scale functions are largely comparable to the asymptotics for the corresponding diffusion models without jumps. For stationary jump diffusions, our asymptotics yield the usual law of large numbers and the standard central limit theory with normal limit distributions. The asymptotics for nonstationary jump diffusions, on the other hand, are nonstandard and the limit distributions are given as generalized diffusion processes.</p>","PeriodicalId":49275,"journal":{"name":"Econometric Theory","volume":"20 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometric Theory","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1017/s0266466624000069","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: 0

Abstract

This paper presents an asymptotic theory for recurrent jump diffusion models with well-defined scale functions. The class of such models is broad, including general nonstationary as well as stationary jump diffusions with state-dependent jump sizes and intensities. The asymptotics for recurrent jump diffusion models with scale functions are largely comparable to the asymptotics for the corresponding diffusion models without jumps. For stationary jump diffusions, our asymptotics yield the usual law of large numbers and the standard central limit theory with normal limit distributions. The asymptotics for nonstationary jump diffusions, on the other hand, are nonstandard and the limit distributions are given as generalized diffusion processes.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
跳跃扩散模型的渐近理论
本文提出了具有明确尺度函数的递归跳跃扩散模型的渐近理论。这类模型的范围很广,包括一般的非稳态跳跃扩散和稳态跳跃扩散,跳跃的大小和强度都与状态有关。具有尺度函数的递归跳跃扩散模型的渐近线与相应的无跳跃扩散模型的渐近线基本相似。对于静态跳跃扩散,我们的渐近学得出了通常的大数定律和具有正态极限分布的标准中心极限理论。而非稳态跃迁扩散的渐近线则是非标准的,极限分布是作为广义扩散过程给出的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Econometric Theory
Econometric Theory MATHEMATICS, 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.
期刊最新文献
INFERENCE IN MILDLY EXPLOSIVE AUTOREGRESSIONS UNDER UNCONDITIONAL HETEROSKEDASTICITY EFFICIENCY IN ESTIMATION UNDER MONOTONIC ATTRITION WELFARE ANALYSIS VIA MARGINAL TREATMENT EFFECTS APPLICATIONS OF FUNCTIONAL DEPENDENCE TO SPATIAL ECONOMETRICS IDENTIFICATION AND STATISTICAL DECISION THEORY
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1