I am an Associate Professor at the Department of Mathematics, and an Affiliate Researcher at the Center for Applied Mathematics, and the Center for Artificial Intelligence and Robotics, at the University of Macau. Here is my Google Scholar page.
I finished my Ph.D. in Statistics at the Hong Kong University of Science and Technology in 2010. During 2011-2012, I was an Assistant Professor in Economics at the Wang Yanan Institute for Studies in Economics and the Department of Statistics, at the Xiamen University.
My current research interests are Statistics for Stochastic Processes, Financial Statistics, and Statistical Learning for Health Science. If you are interested in a Ph.D. in Statistics at the University of Macau, feel free to email me at liuzhi@um.edu.mo to discuss this.
Education
Working Experience
Teaching
Ph.D. students supervised
Master students supervised
Research Grants
External Grants
Internal Grants
Joint Laplace Transform of Volatility Matrix (1/1/2019-31/12/2021), MYRG from University of Macau, MYRG2018-00107-FST, MOP $588,000. Sole PI.
Selected Publications (Full Publications List)
ZHU Haibin and LIU Zhi (2024). On Bivariate time-varying price staleness, Journal of Business and Economic Statistics. 42, 229-242.
FENG Xinwei, HE Lidan and LIU Zhi (2022). Large deviation principles of realized Laplace transform of volatility, Journal of Theoretical Probability. 35, 186–208.
LIU Qiang and LIU Zhi (2022). Statistical Inference of spot correlation and spot market Beta under infinite variation jumps, Journal of Financial Econometrics, 20, 612-654.
DING Li-zhong, LIU Zhi, LI Yu, LIAO Shi-zhong, LIU Yong, YANG Peng, YU Ge, SHAO Ling, GAO Xin (2019). Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data, AAAI2019. Acceptance rate: 16.2%
WANG Li, LIU Zhi and XIA Xiao-chao (2019). Rate efficient estimation of realized Laplace transform of volatility with microstructure noise, Scandinavian Journal of Statistics. 46(3), 920-953.
Yuta KOIKE and LIU Zhi (2019). Asymptotic properties of the realized skewness and related statistics, Annals of the Institute of Statistical Mathematics. 71(4), 703-741.
KONG Xin-bing, LIU Zhi and ZHOU Wang (2019), A rank test for the number of factors with high-frequency data, Journal of Econometrics. 211(2), 439-460.
LIU Yi-ming, LIU Zhi and ZHOU Wang (2019). A test for equality of two distributions via integrating characteristic functions, Statistica Sinica. 29, 1779-1801.
HU Jiang, LI Wei-ming, LIU Zhi and ZHOU Wang (2019). High-dimensional covariance matrices in elliptical distributions with application to spherical test, Annals of Statistics. 47(1), 527-555.
LIU Zhi, KONG Xin-bing and JING Bing-yi (2018). Estimating the integrated volatility using high-frequency data with zero durations, Journal of Econometrics. 204, 18-32.
CHENG Cong-hua, LIU Yi-ming, LIU Zhi and ZHOU Wang (2018). Balanced augmented Jackknife Empirical Likelihood for two-sample U-Statistics. SCIENCE CHINA Mathematics, 61, 1129-1138.
LIU Qiang, LIU Yi-qi and LIU Zhi (2018). Estimating spot volatility in the presence of infinite variation jumps, Stochastic Processes and their Applications, 128, 1958-1987.
KONG Xin-bing, LIU Zhi, ZHAO Peng and ZHOU Wang (2017). SURE estimates under dependence and heteroscedasticity, Journal of Multivariate Analysis, 161, 1-11.
LIU Yi-qi, LIU Qiang, LIU Zhi and DING Deng (2017). Determining the integrated volatility via limit order books with multiple records. Quantitative Finance, 17(11), 1697-1714.
CAI Zong-wu, JING Bing-yi, KONG Xin-bing and LIU Zhi (2017). Nonparametric regression with nearly integrated regressors under long-run dependence. Econometrics Journal, 20(1), 118-138.
KONG Xin-bing, LIU Zhi, YAO Yuan and ZHOU Wang (2017). Sure screening by ranking the canonical correlations. TEST, 26(1), 46-70.
LIU Zhi (2017). Jump-robust estimation of volatility with the simultaneous presence of microstructure noise and multiple observations. Finance and Stochastics, 21(2), 427-469.
JING Bing-yi, LIU Zhi and KONG Xin-bing (2017). Estimating the volatility functionals with multiple transactions. Econometric Theory, 33(2), 331-365.
LIU Zhi (2016). Estimating integrated co-volatility with partially miss-ordered high-frequency data. Statistical Inference for Stochastic Processes, 19(2), 175-197.
KONG Xin-bing, LIU Zhi and JING Bing-yi (2015). Testing for pure-jump processes for high-frequency data. Annals of Statistics, 43(2), 847-877.
JING Bing-yi, LIU Zhi and KONG Xin-bing (2014). On the estimation of integrated volatility with jumps and microstructure noise. Journal of Business & Economic Statistics, 32(3), 457-467. The article was the JBES Invited Address presented at the Joint Statistical Meetings, Boston, Massachusetts, August 2-7, 2014
WANG Kent, LIU Jun-wei and LIU Zhi (2013). Disentangling the effect of jumps on systematic risk with a new estimator of integrated co-volatility. Journal of Banking and Finance, 37, 1777-1786.
LIU Zhi, Abbas AHMED, JING Bing-yi and GAO Xin (2012). WaVPeak: picking NMR peaks through wavelet transform and volume-based filtering. Bioinformatics, 28(7), 914-920.
JING Bing-yi, KONG Xin-bing and LIU Zhi (2012). Modeling high-frequency financial data by pure jump processes. Annals of Statistics, 40(2), 759-784.
JING Bing-yi, KONG Xin-bing, LIU Zhi and Per MYKLAND (2012). On the jump activity index for semi-martingales. Journal of Econometrics, 166(2), 213-223.
JING Bing-yi, KONG Xin-bing and LIU Zhi (2011). Estimating the jump activity index under noisy observations using high-frequency data. Journal of American Statistical Association, 106, 558-568.
JING Bing-yi, KONG Xin-bing, LIU Zhi and ZHANG Bo (2009). Stochastic regression and its application to hedging in finance. SCIENCE CHINA Mathematics, 52(6), 1365-1372.
Awards
Faculty of Science and Technology
University of Macau, Avenida da Universidade, Taipa,
Macau, China
Room: E11-3072
Telephone: (853) 8822-4494
Fax: (853) 8822-2426
Email: liuzhi@um.edu.mo