Valuation of interest rate ceiling and floor based on the uncertain fractional differential equation in Caputo sense

被引:21
作者
Jin, Ting [1 ]
Ding, Hui [2 ]
Li, Bo [3 ]
Xia, Hongxuan [4 ]
Xue, Chenxi [1 ]
机构
[1] Nanjing Forestry Univ, Sch Sci, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Forestry Univ, Coll Econ & Management, Nanjing, Jiangsu, Peoples R China
[3] Nanjing Univ Finance & Econ, Sch Appl Math, Nanjing, Jiangsu, Peoples R China
[4] Nanjing Forestry Univ, Coll Int Educ, Nanjing, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Fractional differential equation; uncertain theory; interest rate; mean-reverting; predictor-corrector method; NUMERICAL-SOLUTION; TERM STRUCTURE; MODEL;
D O I
10.3233/JIFS-201930
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As an economic lever in financial market, interest rate option is not only the function of facilitating the bank to adjust the market fund supply and demand relation indirectly, but also provides the guarantee for investors to choose whether to exercise the right at the maturity date, thereby locking in the interest rate risk. This paper mainly studies the price of the interest rate ceiling as well as floor under the uncertain environment. Firstly, from the perspective of expert reliability, rather than relying on a large amount of historical financial data, to consider interest rate trends, and further assume that the dynamic change of the interest rate conforms to the uncertain process. Secondly, since uncertain fractional-order differential equations (UFDEs) have non-locality features to reflect memory and hereditary characteristics for the asset price changes, thus is more suitable to model the real financial market. We construct the mean-reverting interest rate model based on the UFDE in Caputo type. Then, the pricing formula of the interest rate ceiling and floor are provided separately. Finally, corresponding numerical examples and algorithms are given by using the predictor-corrector method, which support the validity of the proposed model.
引用
收藏
页码:5197 / 5206
页数:10
相关论文
共 35 条
[1]   Existence and uniqueness theorem for uncertain differential equations [J].
Chen, X. ;
Liu, B. .
FUZZY OPTIMIZATION AND DECISION MAKING, 2010, 9 (01) :69-81
[2]   Uncertain term structure model of interest rate [J].
Chen, Xiaowei ;
Gao, Jinwu .
SOFT COMPUTING, 2013, 17 (04) :597-604
[3]   A THEORY OF THE TERM STRUCTURE OF INTEREST-RATES [J].
COX, JC ;
INGERSOLL, JE ;
ROSS, SA .
ECONOMETRICA, 1985, 53 (02) :385-407
[4]   An effective improved co-evolution ant colony optimisation algorithm with multi-strategies and its application [J].
Deng, Wu ;
Xu, Junjie ;
Song, Yingjie ;
Zhao, Huimin .
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2020, 16 (03) :158-170
[5]   Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem [J].
Deng, Wu ;
Xu, Junjie ;
Song, Yingjie ;
Zhao, Huimin .
APPLIED SOFT COMPUTING, 2021, 100
[6]   A predictor-corrector approach for the numerical solution of fractional differential equations [J].
Diethelm, K ;
Ford, NJ ;
Freed, AD .
NONLINEAR DYNAMICS, 2002, 29 (1-4) :3-22
[7]   The numerical solution of fractional differential equations: Speed versus accuracy [J].
Ford, NJ ;
Simpson, AC .
NUMERICAL ALGORITHMS, 2001, 26 (04) :333-346
[8]   Chaotic Local Search-Based Differential Evolution Algorithms for Optimization [J].
Gao, Shangce ;
Yu, Yang ;
Wang, Yirui ;
Wang, Jiahai ;
Cheng, Jiujun ;
Zhou, MengChu .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (06) :3954-3967
[9]   Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction [J].
Gao, Shangce ;
Zhou, MengChu ;
Wang, Yirui ;
Cheng, Jiujun ;
Yachi, Hanaki ;
Wang, Jiahai .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 30 (02) :601-614
[10]   Pricing and hedging interest rate options: Evidence from cap-floor markets [J].
Gupta, A ;
Subrahmanyam, MG .
JOURNAL OF BANKING & FINANCE, 2005, 29 (03) :701-733