I would like to express my heartfelt thanks to all conference participants for their contribution to the International conference “Theoretical and Applied Econometrics Analysis” on 18 July 2019 at Hong Kong Shue Yan University. Around 40 scholars from 11 Universities (Shanghai University, Shanghai University of Finance and Economics, University of Illinois, Singapore Management University, Universitas Indonesia, Asia University, University of Macau, CUHK, CityU, OU, HKBU and HKSYU) gave their time and resources to contribute to the conference.
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Date: 18 July, 2019
|9:30 am||Registration (RLB303)|
|10:00 am||Opening (RLB303)|
|10:15 am- 11:00 am||Keynote|
Are the Combinations of Health Care Sector and T-Bill One of the Best Choices for investment?
Professor Wing Keung WONG
|11:00 am||Coffee Break|
|11:15 am – 12:30 pm||Session 1 (RLB303)|
Technical efficiency of the Chinese Health Care Sector: The Choice between Market-orientation and Government-orientation
Xinju HE, Sung Ko LI, and Valentin ZELENYUK
The Spillover Effect of Surgeons on Expanding the Use of Kidney-Exchange Networks
Bobby W. Chung and Ghanbariamin Roksana
What Do We Know About Housing Supply? The Case of Hong Kong
Edward TANG, Charles LEUNG and Joe NG
Chair: TANG Edward
|12:30 pm|| LUNCH (Play Cafe) |
Academic Building, 5/F
|2:00 pm – 3:45 pm||Session 2A (RLB303)|
External Shocks or Internal Causes? The Property Markets of Two Asian Financial Centers
Joe, NG Charles LEUNG and Jun YU
Are Institutions the Cause or the Outcome of Economic Growth? Evidence in Developing and Developed Countries
Chun Kei TSANG and Sung-Ko LI
Greater Bay Area: Price Convergence of Product
Kai Yin WOO, Shu Kam LEE and Jacky WONG
One belt One Road: Nonlinear PPP
Kai Yin WOO, Shu Kam LEE, and Paul SHUM
Chair: Chun Kei TSANG
|2:00 pm – 3:45 pm||Session 2B (RLB302)|
The Effect of Minimum Wage on Youth Employment
Thomson SITOMPUL and Paksi C.K. WALANDOUW
Analyzing the Relationship between Sources of Financing and Economic Growth in China
Suet Ching CHAK
Happiness and Overweight: Panel Data Analysis on the Differences between Male and Female
Wan Ling CHU and Wai Kee Thomas YUEN
Wine and Happiness: Panel Data Analysis
Wai Kee Thomas YUEN
Chair: Suet Ching CHAK
|3:45 am||Coffee Break|
|4:00pm – 5:45pm||Session 3A (RLB303)|
Inflation Dynamics: A Comparative Study of Mainland China and Hong Kong
Tsz Hin, Ronald HUNG and Yum K. KWAN
Is Sophia The Robot A Legal Person?
Chau Sheung, Rosa PANG
An Empirical Study on Child Mortality Rate – Application of Regression Analysis
Ngai Sang, Kenrick YEUNG, Yu Hong WONG, Tat Yu Owen LEUNG and Yik Man LAI
Economic and Political Inequality in Southeast Asia: 1998-2017
Ka Lok, Daniel CHAN
Chair: Ngai Sang, Kenrick YEUNG
|4:00pm – 5:45pm||Session 3B (RLB302)|
Global Warming, Climate Change and World Environmental Degradation
The Rank Tests for Nonlinear Cointegration: Examining the Price convergence of household products in Canada
Kai Yin, WOO, Shu Kam LEE and Alan CHAN
The Rank Tests for Nonlinear Cointegration: Examining the price competition between the two supermarket giants in Hong Kong
Kai Yin WOO, Shu Kam LEE and Fuk-kin Joe WONG
All rooms are equipped with a computer, running Microsoft Office 2016 (Word, Excel and PowerPoint). Please bring your PowerPoint presentation on a USB memory stick. Please make sure to load the presentation to the computer in the relevant session room well in advance of your presentation. If you would like to bring your own notebook, it can be connected via HDMI to our system.
Chairs and presenters are asked to be in the room 5 minutes before the scheduled start time so you can load the presentation PowerPoint to the computer. Oral presentations should typically be no more than 20 minutes. This will leave roughly 15-20 minutes for questions at the end of each session.
International Conference: Theoretical and Applied Econometrics
18 July 2019 CONFERENCE: THEORETICAL AND APPLIED ECONOMETRICS
at Hong Kong Shue Yan University
- The conference aims to provide an international forum for sharing research interests and cutting-edge knowledge in econometric methods and applications of econometrics to different fields.
- It will also bring academics, researchers and students together to exchange and share their research experiences and results regarding theoretical and applied econometrics.
- Moreover, it will provide an opportunity for participants to submit and present their original research papers in econometrics.
Hong Kong Shue Yan University
Braemar Hill Campus
Address: 10 Wai Tsui Crescent, Braemar Hill, North Point, Hong Kong
Tel: +852 25707110
Kowloon Motor Bus (KMB)
Buses depart to and from Braemar Hill at:
- 108 Kai Yip Bus Terminus
Citybus/New World First Bus
Buses depart to and from Braemar Hill at:
- 23B Park Road / Robinson Road
- 25 Central (Pier 5)
- 25A Wan Chai (HKCEC Extension)
- 27 North Point Ferry Pier
- 85 Siu Sai Wan (Island Resort)
Public Light Buses (Green Mini-buses)
Buses depart to and from Braemar Hill at:
- 25 Causeway Bay MTR Station
- 49M Tin Hau MTR Station
Professor Wing-Keung WONG
Chair Professor of Finance, Department of Finance, Fintech Center, and Big Data Research Center, Asia University, Taiwan.
Prof Wong has published more than two hundred papers and is in the list of top economists of RePEc and Asian economists. He has more than five thousand citations in Google scholar, around three thousand citations in ResearchGate, more than one thousand citations in Mendeley and more than six hundred citations in Web of Science. He also ranked in the top 1% by Social Science Research Network in 2017 by both downloads and citations. Citation: 6741 (3734 since 2014), h-index: 46, (32 since 2014) and i10-index: 143, (117 since 2014) by Google Scholar citation. His research interests include financial economics, econometrics, mathematical finance and economics, investment theory, risk management, behavioral finance and economics, operational research, stochastic dominance theory, time series analysis, Bayesian theory and decision theory.
Are the Combinations of Health Care sector and T-Bill one of the best choices for investment?
Health care sector plays an increasingly important role in the stock market because it is growing nearly in the entire period and has low correlation with the business cycle. On the other hand, T-Bill is also an important asset in investment because it has positive return and small variance. In this paper, we employ the mean-variance (MV) rules and stochastic dominance (SD) approach to investigate the portfolio performance with and without both health care sector and T-Bill in the US over the period from September 1986 to May 2017. The results show that all the portfolios with health care asset and 6-M TB significantly dominate the corresponding portfolios without health care and 6-M TB, regardless whether a short sale is allowed. This study also concludes that the combinations of health care sector and 6-M TB not only reduce risk but also gain better return and all risk-averse investors prefer to invest in portfolios with health care sector and 6-M TB, regardless whether they buy long or sell short the market.
By employing the mean-variance (MV) rules and stochastic dominance (SD) approach, this paper investigates the portfolio performance with and without both health care sector and T-Bill in the U.S. market over the period from September 1986 to May 2017. The results show that all the portfolios with health care asset and 6-m TB significantly dominate the corresponding portfolios without health care and 6-m TB, regardless whether a short sale is allowed. This study also concludes that the combinations of health care sector and 6-m TB not only reduce risk but also gain better return; all risk-averse investors prefer to invest in portfolios with health care sector and 6-m TB, regardless whether they buy long or sell short the market.
Conference Advisory Committee
Prof. YU Fu Lai, Tony (Head of Economics and Finance, SYU)
Dr. LEE Shu Kam (Assoc. Head of Economics and Finance, SYU)
Dr. CHEN Toro Tao (University of Macau)
Conference Organizing Committee
Dr. YUEN Wai Kee, Thomas (PI)
Dr. WOO Kai Yin (Co-PI)
Dr. TANG Chi Ho, Edward (Co-PI)
Ms. CHAK Suet Ching (SYU)
Ms. CHU Wan Ling (SYU)
We would like to thank the Research Grants Council of the Hong Kong Special Administrative Region, China for supporting this conference under the INTER-INSTITUTIONAL DEVELOPMENT SCHEME (IIDS). This conference is fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project no. UGC/IIDS15/B02/18)
I would like to express my appreciation to Dr. Jurgen DOORNIK (University of Oxford) for providing a seminar on “Automatic Selection of Multivariate Dynamic Econometric Models”and a workshop on “ Automatic Model Selection with Applications”.
Thanks Dr. Jurgen DOORNIK for his contribution to the “IIDS Project – Recent Developments in Theoretical and Applied Econometrics Analysis”. We are looking forward to our research collaborations in the future.
Speaker: Dr. Jurgen DOORNIK (University of Oxford)
Date: 26 June 2019 (Wed)
Time: 11:00am – 1:00 pm
Venue: RLG402, Research Complex
Automatic model selection is a powerful tool for the empirical modeller. This workshop will introduce Autometrics, which successfully implements the general-to-specific approach. Foundations of the algorithm will be described, together with interesting extensions, including applications that have more variables than observations. Hands-on computer illustrations will be used throughout.
A modeller is confronted with:
- many possible inter-related variables that matter,
- subject to intermittent breaks (earthquakes, financial crises, etc.),
- possible outliers (oil shocks, tsunamies, etc.)
- changes to the measurement system
- and dramatic changes over longer periods (recessions,technological progress, climate change)
Big data may help, but can bring further problems:
- data overload,
- too much heterogeneity,
- hidden stratification and unknown dependence.
- Information overload and complexity
Automatic modelling essential to cope with these challenges. Autometrics is the implementation of automatic model selection, designed to handle these challenges:
- Automatic: computer is powerful modelling aid,
- General to specific: can maintain econometric properties,
- Extensive search: to handle correlated data,
- Efficient search: need to estimate many models,
- Statistical congruence: maintained as a search constraint,
- Statistical properties: extensively researched,
- Not maximizing goodness-of-fit: avoids overfitting,
- Controlled by gauge: expected number of falsely selected variables,
- Flexible: more variables than observations, different model classes (logit, SEM), …
I am impressed by the power of XIModeler to estimate 300 models and select the best model within 1 sec automatically.
An introduction to XImodeler:https://www.xlmodeler.com/doc/xlmodeler.pdf
Oxmetrics: is a family of of software packages providing an integrated solution for the econometric analysis of time series, forecasting, financial econometric modelling, or statistical analysis of cross-section and panel data. OxMetrics consists of a front-end program called OxMetrics, and individual application modules such as PcGive, STAMP, etc. Oxmetrics