Kai ZHANG
Professeur
- Département Finance
Domaines d'enseignement
Finance
Financial Engineering
Asset Pricing
Financial Risk Management
Investment Management
Computational Finance
Domaines de recherche
Computational Finance and Financial Engineering
Innovation Economics and Finance
Financial Optimization and Portfolio
Financial Technology
Biographie
Chinese Dean of Shenzhen Nantes Business School, Shenzhen University, Professor, Ph.D., and part-time Ph.D. Guangdong Provincial “City of Ten Thousand Projects for Training at Provincial Level”, Shenzhen’s overseas high-level talents, local leaders and high-level talents. In 2006, he obtained a Ph.D. in Financial Optimization at Hong Kong Polytechnic University. After graduating, he was engaged in post-doctoral research at the University of Western Australia and Monash University in 2006 and 2008, and engaged in academic visits at Northeastern University Business School from 2013 to 2014. He has been engaged in theoretical and practical research in financial engineering, quantitative investment, and risk management. He is the deputy chief editor of a number of international SCI journals. He has published 30 academic papers and 2 monographs in international SCI journals. In recent years, He has undertaken a large number of major issues of the National Fund Committee, the State Administration of Taxation, the Ministry of Education, and the Shenzhen Local Taxation Bureau. At the same time, he served as a project review and decision-making expert for local governments in Shenzhen and Dongguan. Also, He is an academic advisor to several investment companies.
During working in Australia, the author participated in two Australian national scientific research projects. After returning to China, he has hosted and participated in a number of national, provincial, and prefecture-level scientific research projects. The main projects are: Research on Penalty Methods of Infinite Dimensional Complementarity and Balance Problem in Option Pricing (National Natural Science Fund Committee), Theoretical and Empirical Analysis of Tax Revenue in China's Financial Industry under Current Economic Situation (State Administration of Taxation), and Encouraging Innovation Research on the effect of tax exemption policy (SAT), financial support for innovation-driven development in China's special economic zones (Humanities and Social Sciences Key Research Base Project foundation from the Ministry of Education), and pricing of complex financial products with American options (Guangdong Province Philosophical and Social Sciences Planning Offices, pricing studies that can carry out feature contracts ahead of schedule (Guangdong Provincial Department of Education), development and transfer laws of industrial enterprises in Shenzhen, and impacts on local economy and taxation (Soft Science Research Program in ShenZhen), Feasibility Study of Establishing Futures Exchange in ShenZhen (Philosophy and Social Science Projects in ShenZhen during the Twelfth Five-year Plan Period), and Investigation on the Tax Sources of 1000 Households in Shenzhen City and the Forecast of Economic Situation in the Second Half of the Year 2017 (Shenzhen Municipal Bureau of Local Taxation Large Enterprise Tax Sources Bureau).
Publications
2022
ZHANG, K., Yang, X., Wang, S. (2022) . Solution method for discrete double obstacle problems based on a power penalty approach, Journal of Industrial and Management Optimization, 18 (2), 1261-1274
2020
ZHANG, K., Yang, X. (2020) . A power penalty method for discrete HJB equations, Optimization Letters, 14 (6), 1419-1433
ZHANG, K., Yang, X., Hu, Y. (2020) . Power penalty method for solving HJB equations arising from finance, Automatica, 111 (January 2020), 108668
2019
Liu, Z., Ding, Z., Zhai, P., Lv, T., Wu, J., ZHANG, K. (2019) . Revisiting the Integration of China Into the World Crude Oil Market: The Role of Structural Breaks, Frontiers in Energy Research, 7 (December 2019), Article 146
2018
ZHANG, K., YANG, X. (2018) . Power Penalty Approach to American Options Pricing Under Regime Switching, Journal of Optimization Theory and Applications, 179 (1), 311-331
2016
WANG, S., ZHANG, K. (2016) . An interior penalty method for a nite-dimensional linear complementarity problem in financial engineering, Optimization Letters, 12 (6), 1161–1178
2015
ZHANG, K., TEO, K. (2015) . A penalty-based method from reconstructing smooth local volatility surface from american options, Journal of Industrial and Management Optimization, 11 (2), 631-644
2014
ZHANG, K., TEO, K., STEWART, M. (2014) . A Robust Numerical Scheme For Pricing American Options Under Regime Switching Based On Penalty Method, Computational Economics, 43 (4), 463–483
2013
ZHANG, K., TEO, K. (2013) . Convergence analysis of power penalty method for American bond option pricing, Journal Of Global Optimization, 56 (4), 1313-1323
2012
ZHANG, K. (2012) . Applying power penalty method to numerically pricing American bond options, Journal of Optimization Theory and Applications, 154 (1), 278-291
ZHANG, K., WANG, S. (2012) . Pricing American bond options using a penalty method, Automatica, 48 (3), 472-479
2011
ZHANG, K., WANG, S. (2011) . Convergence property of an interior penalty approach to pricing American option, Journal of Industrial and Management Optimization, 7 (2), 435-447
Formation
PhD in Applied Mathematics
Hong Kong Polytechnic University (HKPU), Chine (RPC) (2006)
Master of Science in Computational Mathematics
Chongqing University, Chine (RPC) (2003)
Bachelor of Science, in Computational Mathematics
Chongqing University, Chine (RPC) (2000)