Shu-Ping Shi, Xiaobin Liu, Jun Yu (2024). Fractional stochastic volatility model. Journal of Time Series Analysis.DOI
Yanbo Liu, Peter C. B. Phillips, Jun Yu (2023). A PANEL CLUSTERING APPROACH TO ANALYZING BUBBLE BEHAVIOR. International Economic Review, Vol. 640, No. 4.DOI
Xiao-Hu Wang, Wei-Lin Xiao, Jun Yu (2021). Asymptotic properties of least squares estimator in local to unity processes with fractional Gaussian noises.
Wei-Lin Xiao, Jun Yu (2020). Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Asymptotic theory for rough fractional vasicek models Asymptotic theory for rough fractional vasicek models.
Katsuto Tanaka, Wei-Lin Xiao, Jun Yu (2020). Maximum Likelihood Estimation for the Fractional Vasicek Model. Econometrics.DOI
Liang Jiang, Xiao-Hu Wang, Jun Yu (2020). In-fill asymptotic theory for structural break point in autoregressions. Econometric Reviews.DOI
Yue Qiu, Tian Xie, Jun Yu (2020). Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Forecast combinations in machine learning Forecast combinations in machine learning.
Yong Li, Jun Yu (2019). An improved Bayesian unit root test in stochastic volatility models.
Xiao-Hu Wang, Jun Yu (2019). Institutional Knowledge at Singapore Management University Limit Theory for an Explosive Autoregressive Process.
Yong Li, Jun Yu, T. Zeng (2019). Hypothesis testing, specification testing, and model selection based on the MCMC output using R. Handbook of Statistics.DOI
T. Ando, Ju-Shan Bai, M. Nishimura, Jun Yu (2019). A Quantile-based Asset Pricing Model.
A. Eriksson, D. Preve, Jun Yu (2019). Forecasting Realized Volatility Using a Nonnegative Semiparametric Model. Journal of Risk and Financial Management.DOI
Wei-Lin Xiao, Jun Yu, Xiao-Hu Wang (2018). Estimation and Inference in Fractional Ornstein–Uhlenbeck Model with Discrete-Sampled Data ∗.
Yong Li, Xiaobin Liu, Jun Yu, T. Zeng (2018). A New Wald Test for Hypothesis Testing Based on MCMC outputs.
Yong Li, Jun Yu, T. Zeng (2018). Integrated Deviance Information Criterion for Latent Variable Models.
Yong Li, Xiaobin Liu, T. Zeng, Jun Yu (2018). A Posterior-Based Wald-Type Statistic for Hypothesis Testing.DOI
Andras Fulop, Jun Yu (2017). Bayesian Analysis of Bubbles in Asset Prices.DOI
Yong Li, Jun Yu, T. Zeng (2017). Deviance Information Criterion for Bayesian Model Selection: Justification and Variation.
Jin Li, Jun Yu (2017). A THEORY OF TURNOVER AND WAGE DYNAMICS.DOI
Yubo Tao, Jun Yu (2017). Model Selection for Explosive Models. Essays in Honor of Cheng Hsiao.DOI
Xiao-Hu Wang, Jun Yu (2017). Bubble testing under deterministic trends.
Yong Li, Jun Yu, T. Zeng (2017). A specification test based on the MCMC output.
Wei-Lin Xiao, Jun Yu (2016). Asymptotic Theory for Estimating the Persistent Parameter in the Fractional Vasicek Model.
Cheng Liu, Ning-Ning Xia, Jun Yu (2016). Shrinkage Estimation of Covariance Matrix for Portfolio Choice with High Frequency Data.
Yong Li, T. Zeng, Jun Yu (2015). A Bayesian specification test.
Leh-chyan So, Jun Yu (2015). IMPROVED DETECTION OF RARE-EVENT RISK OF A PORTFOLIO WITH U.S. REITs.DOI
P. Phillips, Shu-Ping Shi, Jun Yu (2015). Supplement to two papers on multiple bubbles [Online supplementary materials].
Xiaobin Liu, Jun Yu (2015). A Bayesian Chi-Squared Test for Hypothesis.
Liang Jiang, Peter C. B. Phillips, Jun Yu (2014). A New Hedonic Regression for Real Estate Prices Applied to the Singapore Residential Market.DOI
T. Zeng, Yong Li, Jun Yu (2014). Deviance Information Criterion for Comparing VAR Models.DOI
Liang Jiang, Xiao-Hu Wang, Jun Yu (2014). On Bias in the Estimation of Structural Break Points.
H. Skaug, Jun Yu (2014). A flexible and automated likelihood based framework for inference in stochastic volatility models. Computational Statistics & Data Analysis.DOI
Aurobindo Ghosh, Jun Yu (2013). Knowledge Leadership Singapore Inflation Expectations : Expecting the Unexpected.
Yong Li, Jun Yu, T. Zeng (2013). Robust bayesian model Selection.
P. Phillips, Jun Yu (2013). SPECIAL ISSUE OF ECONOMETRIC THEORY ON SETA 2010: EDITORS’ INTRODUCTION. Econometric Theory.DOI
Yong Bao, A. Ullah, Yun Wang, Jun Yu (2013). Bias in the Mean Reversion Estimator in Continuous-Time Gaussian and Lévy Processes.
M. Yiu, Jun Yu, Lu Jin (2013). Detecting bubbles in Hong Kong residential property market.DOI
Jun Yu (2012). Simulation-Based Estimation Methods for Financial Time Series Models.DOI
R. Mariano, Zhi-Jie Xiao, Jun Yu (2012). Recent Advances in Nonstationary Time Series: A Festschrift in honor of Peter C. B. Phillips.DOI
R. Mariano, Zhi-Jie Xiao, Jun Yu (2012). Recent advances in panel data, nonlinear and nonparametric models: A festschrift in honor of Peter C.B. Phillips.DOI
J. Whalley, Jun Yu, Shun-Ming Zhang (2012). Trade Retaliation in a Monetary-Trade Model. Social Science Research Network.DOI
Andras Fulop, Junye Li, Jun Yu (2012). Bayesian Learning of Impacts of Self-Exciting Jumps in Returns and Volatility.DOI
Aurobindo Ghosh, Jun Yu (2011). Singapore Consumer’s Inflation Expectations and Creation of Singapore Index of Inflation Expectations.
Xiao-Hu Wang, Jun Yu (2011). Double Asymptotics for an Explosive Continuous Time Model.
T. S. Kleppe, Jun Yu, H. Skaug (2011). Simulated Maximum Likelihood Estimation for Latent Diffusion Models.
P. Phillips, Jun Yu (2011). Corrigendum to ‘A Gaussian approach for continuous time models of short-term interest rates’ (Yu, J. and P. C. B. Phillips, Econometrics Journal, 4, 210-24): Corrigendum to Yu and Phillips.DOI
Shu-Ping Shi, Peter C. B. Phillips, Jun Yu (2011). Specification Sensitivities in Right-Tailed Unit Root Testing for Financial Bubbles.DOI
P. Phillips, Jun Yu (2011). THE ET INTERVIEW: A CONVERSATION WITH ERIC GHYSELS. Econometric Theory.DOI
Jun Yu, P. Phillips (2011). Warning System for Property Bubbles.
Peter C. B. Phillips, Shuping Shi, Jun Yu (2011). Specification Sensitivity in Right-Tailed Unit Root Testing for Explosive Behavior.DOI
T. S. Kleppe, Jun Yu, H. Skaug (2010). Estimating the GARCH Diffusion: Simulated Maximum Likelihood in Continuous Time.
P. Phillips, Jun Yu (2010). A Conversation with Eric Ghysels Co-President of the Society for Financial Econometrics.
Qian-Kun Zhou, Jun Yu (2010). Asymptotic Distributions of the Least Squares Estimator for Diffusion Processes.
P. Phillips, Jun Yu, Eric Ghysels (2010). Measurement and High Finance.
P. Phillips, Jun Yu, Eric Ghysels (2010). Using Financial Econometrics to Measure Risk.
Jun Yu (2010). Evolution and Impacts of Transition of Preferences for Stock Investment by Mutual Funds.
Yong Li, Jun Yu (2010). A New Bayesian Unit Root Test in Stochastic Volatility Models.
T. S. Kleppe, Jun Yu, H. Skaug (2009). Simulated Maximum Likelihood Estimation of Continuous Time Stochastic Volatility Models.DOI
Shirley Huang, Jun Yu (2008). An efficient method for maximum likelihood estimation of a stochastic volatility model.DOI
J. Whalley, Jun Yu, Shun-Ming Zhang (2008). Trade Policy in a Multi-Commodity Model Incorporating Inside Money.
Peter C. B. Phillips, Jun Yu (2007). Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance.DOI
Shirley Huang, Qian-Qiu Liu, Jun Yu (2007). Realized Daily Variance of S&P 500 Cash Index: A Revaluation of Stylized Facts.
Xing Jin, Le-Ping Wang, Jun Yu (2007). Temporal Aggregation and Risk-Return Relation.DOI
P. Phillips, Yang-Ru Wu, Jun Yu (2006). Explosive Behavior and the Nasdaq Bubble in the 1990s: When Did Irrational Exuberance Escalate Asset Values?DOI
Jun Yu, Zhen-Lin Yang, Xi-Bin Zhang (2006). A class of nonlinear stochastic volatility models and its implications for pricing currency options. Computational Statistics & Data Analysis.DOI
Jun Yu, Zhen-Lin Yang (2006). A Class of Nonlinear Stochastic Volatility Models. Joint Conference on Information Sciences.DOI
Manabu Asai, M. McAleer, Jun Yu (2006). Multivariate Stochastic Volatility: A Review.DOI
P. Phillips, Jun Yu (2005). Comments on “A selective overview of nonparametric methods in financial econometricsâ€Â.
Yingfu Xie, Jun Yu (2005). Consistency of Maximum Likelihood Estimators for the Reduced Regime-Switching GARCH Model.
P. Phillips, Jun Yu (2005). Comment on “Realized Variance and Market Microstructure Noise†by Peter R. Hansen and Asger Lunde.
P. Phillips, Jun Yu (2005). Jackknifing Bond Option Prices.DOI
Jun Yu (2005). On Leverage in a Stochastic Volatility Model.DOI
P. Phillips, Jun Yu (2005). Comment: A Selective Overview of Nonparametric Methods in Financial Eco.DOI
Jun Yu (2005). Research on the Fractal Characteristics of the Capital Market.
Peter C. B. Phillips, Jun Yu (2005). A Two-Stage Realized Volatility Approach to the Estimation for Diffusion Processes from Discrete Observations.
M. McAleer, Manabu Asai, Massimiliano Caporin, F. Chan, Rob Engle, Ji-Ti Gao, S. Hoti, T. Jeantheau, S. Ling, Adrian R. Pagan, Peter C. B. Phillips, Peter M. Robinson, R. Tsay, N. Shephard, Jun Yu (2004). Automated Inference and Learning in Modelling Financial Volatility *.
Andreas Berg, R. Meyer, Jun Yu (2004). Deviance Information Criterion for Comparing Stochastic Volatility Models.DOI
Jun Yu (2004). Empirical Characteristic Function Estimation and Its Applications.DOI
Shirley Huang, Jun Yu (2004). On Stiffness in Affine Asset Pricing Models.DOI
Yiu-Kuen Tse, Xi-Bin Zhang, Jun Yu (2004). Estimation of hyperbolic diffusion using the Markov chain Monte Carlo method.DOI
Yingfu Xie, Jun Yu (2003). Asymptotics for Quasi-Maximum Likelihood Estimators of GARCH(1,2) Model Under Dependent Innovations.
Jun Yu (2002). MCMC Methods for Estimating Stochastic Volatility Models with Liverage Effects : Comments on Jacquier , Polson and Rossi ( 2002 ).
Jun Yu (2002). Forecasting volatility in the New Zealand stock market.DOI
J. Knight, Stephen E. Satchell, Jun Yu (2002). Theory & Methods: Estimation of the Stochastic Volatility Model by the Empirical Characteristic Function Method.DOI
Jun Yu, P. Phillips (2001). A Gaussian approach for continuous time models of the short-term interest rate.DOI
J. Knight, Jun Yu (2001). EMPIRICAL CHARACTERISTIC FUNCTION IN TIME SERIES ESTIMATION. Econometric Theory.DOI
Qi-Man Shao, Hao Yu, Jun Yu (2001). Do Stock Returns Follow a Finite Variance Distribution.
Jun Yu (2001). Testing for a finite variance in stock return distributions.DOI
H. Bluhm, Jun Yu (2001). Forecasting Volatility:Evidence from the German Stock Market.
R. Meyer, Jun Yu (2000). BUGS for a Bayesian Analysis of Stochastic Volatility Models.DOI
P. Phillips, Jun Yu (2000). Exact Gaussian Estimation of Continuous Time Models of The Term Structure of Interest Rates Rankings of Economics Departments in New Zealand.
Jun Yu (1999). Estimation of a Self-Exciting Poisson Jump Diffusion Model by the Empirical Characteristic Function Method.
Qi-Man Shao, Hao Yu, Jun Yu (1999). A Test Statistic and Its Application in Modelling Daily Stock Returns.
Graeme Guthrie, Julian Wright, Jun Yu (1999). Testing the expectations theory of the term structure for New Zealand.DOI
J. Gómez-González, Peter C. B. Phillips, Jun Yu, Hernando Vargas, Jair N. Ojeda-Joya, Catalina Rey-Guerra, Natalia Sicard. Federal Reserve Bank of Dallas Globalization and Monetary Policy Institute Testing for Bubbles in Housing Markets: New Results Using a New Method Testing for Bubbles in Housing Markets: New Results Using a New Method.
S. Hurn, Vance L. Martin, Peter C. B. Phillips, Jun Yu. TEACHING FINANCIAL ECONOMETRICS TO STUDENTS CONVERTING TO FINANCE.