Residential College | false |
Status | 已發表Published |
Modeling high-frequency financial data by pure jump processes | |
Jing B.-Y.2; Kong X.-B.3; Liu Z.1 | |
2012-04-01 | |
Source Publication | Annals of Statistics |
ABS Journal Level | 4* |
ISSN | 00905364 |
Volume | 40Issue:2Pages:759-784 |
Abstract | It is generally accepted that the asset price processes contain jumps. In fact, pure jump models have been widely used to model asset prices and/or stochastic volatilities. The question is: is there any statistical evidence from the high-frequency financial data to support using pure jump models alone? The purpose of this paper is to develop such a statistical test against the necessity of a diffusion component. The test is very simple to use and yet effective. Asymptotic properties of the proposed test statistic will be studied. Simulation studies and some real-life examples are included to illustrate our results. © Institute of Mathematical Statistics, 2012. |
Keyword | Diffusion High-frequency Data Hypothesis Testing Pure Jump Process Semi-martingales |
DOI | 10.1214/12-AOS977 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Mathematics |
WOS Subject | Statistics & Probability |
WOS ID | WOS:000307608000005 |
Scopus ID | 2-s2.0-84867691097 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF MATHEMATICS |
Affiliation | 1.Xiamen University 2.Hong Kong University of Science and Technology 3.Fudan University |
Recommended Citation GB/T 7714 | Jing B.-Y.,Kong X.-B.,Liu Z.. Modeling high-frequency financial data by pure jump processes[J]. Annals of Statistics, 2012, 40(2), 759-784. |
APA | Jing B.-Y.., Kong X.-B.., & Liu Z. (2012). Modeling high-frequency financial data by pure jump processes. Annals of Statistics, 40(2), 759-784. |
MLA | Jing B.-Y.,et al."Modeling high-frequency financial data by pure jump processes".Annals of Statistics 40.2(2012):759-784. |
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