supported by National Natural Science Foundation of China(Grant Nos.11201080 and 11571250);Priority Academic Program Development of Jiangsu Higher Education Institutions;supported by National Natural Science Foundation of China(Grant No.11501503);Qinglan Project of Jiangsu Province,National Science Foundation of Jiangsu Province of China(Grant No.BK20181417);Jiangsu Province College Science Key Foundation(Grant No.17KJA110001);supported by National Natural Science Foundation of China(Grant No.71874028);State Key Programme of National Natural Science Foundation of China(Grant No.71331006);the Fundamental Research Funds for the Central Universities in University of International Business and Economics(Grant No.16YQ05)。
Existing estimators for the jump activity index only made use of the price dynamics of assets.In this study,we incorporate trading information and propose a trading-flow-adjusted(TA)estimator for the jump activity ind...
supported by the State Key Program of National Natural Science Foundation of China(No.71331006);by the Graduate Innovation Foundation of Shanghai University of Finance and Economics of China(No.CXJJ-2018-408)。
Published auxiliary information can be helpful in conducting statistical inference in a new study.In this paper,we synthesize the auxiliary information with semiparametric likelihood-based inference for censoring data...
supported by National Natural Science Foundation of China(Grant No.71601123);MOE(Ministry of Education in China)Project of Humanities and Social Sciences(Grant No.15YJC910004);supported by National Natural Science Foundation of China(Grant No.11471277);the Research Grant Council of the Hong Kong Special Administration Region(Grant No.GRF14305014);supported by the State Key Program of National Natural Science Foundation of China(Grant No.71331006);the Major Research Plan of National Natural Science Foundation of China(Grant No.91546202)
The double-threshold autoregressive conditional heteroscedastic(DTARCH) model is a useful tool to measure and forecast the mean and volatility of an asset return in a financial time series. The DTARCH model can handle...