Kaixi Zhang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Kaixi Zhang has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Baoding Liu
Department of Mathematical Sciences, Tsinghua University, Beijing 100084, China
1 shared publication - Jinsheng Xie
Department of Mathematical Sciences, Tsinghua University, Beijing 100084, China
1 shared publication - Lifang Hong
School of Mathematics and Statistics, Hainan University, Haikou 570228, China
1 shared publication - Yuhan Sun
School of Economics and Management, Tongji University, Shanghai 200092, China
1 shared publication - Yuxing Jia
School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China
1 shared publication - Zhigang Wang
School of Mathematics and Statistics, Hainan University, Haikou, People’s Republic of China
1 shared publication
Latest Publications
- Open Access
Option Pricing Formulas of Uncertain Mean-Reverting Stock Model with Symmetry Analysis
With the development of uncertain finance, uncertain stock models have become increasingly popular for modeling stock prices. This paper explores the symmetric properties inherent in the uncertain mean-reverting stock model, particularly in the structure of its differential equations and the resulting pricing formulas. The primary findings comprise the derivation of explicit pricing formulas, via uncertain differential equations, for European, American, Asian, and geometric average Asian options under the uncertain mean-reverting stock model. The symmetry in the inverse uncertainty distributions and the duality between call and put options are highlighted, demonstrating the model’s alignment with symmetric financial principles. Furthermore, several numerical examples are provided to illustrate the applicability and the symmetry-related characteristics of the derived formulas.
Open AccessOption Pricing Formulas of Uncertain Mean-Reverting Stock Model with Symmetry Analysis
With the development of uncertain finance, uncertain stock models have become increasingly popular for modeling stock prices. This paper explores the symmetric properties inherent in the uncertain mean-reverting stock model, particularly in the structure of its differential equations and the resulting pricing formulas. The primary findings comprise the derivation of explicit pricing formulas, via uncertain differential equations, for European, American, Asian, and geometric average Asian options under the uncertain mean-reverting stock model. The symmetry in the inverse uncertainty distributions and the duality between call and put options are highlighted, demonstrating the model’s alignment with symmetric financial principles. Furthermore, several numerical examples are provided to illustrate the applicability and the symmetry-related characteristics of the derived formulas.
- 8 April 2024
- Published by Springer Nature in Fuzzy Optimization and Decision Making
- Vol. 23 (2) , 295-318
Higher-order derivative of uncertain process and higher-order uncertain differential equation
- 8 April 2024
- Published by Springer Nature in Fuzzy Optimization and Decision Making
- Vol. 23 (2) , 295-318
Higher-order derivative of uncertain process and higher-order uncertain differential equation