Items where Author is "Lin, Xiaozheng"
Black-Scholes model
Lin, Xiaozheng, Wang, Meiqing and Lai, Choi-Hong ORCID: https://orcid.org/0000-0002-7558-6398 (2021) A modification term for Black-Scholes model based on discrepancy calibrated with real market data. Data science in finance and economics. Data Science in Finance and Economics, 1 (4). pp. 313-326. ISSN 2769-2140 (Online) (doi:10.3934/DSFE.2021017)
disturbance term
Lin, Xiaozheng, Wang, Meiqing and Lai, Choi-Hong ORCID: https://orcid.org/0000-0002-7558-6398 (2021) A modification term for Black-Scholes model based on discrepancy calibrated with real market data. Data science in finance and economics. Data Science in Finance and Economics, 1 (4). pp. 313-326. ISSN 2769-2140 (Online) (doi:10.3934/DSFE.2021017)
higher-order algorithm
Lin, Xiaozheng, Wang, Meiqing and Lai, Choi-Hong ORCID: https://orcid.org/0000-0002-7558-6398 (2021) A modification term for Black-Scholes model based on discrepancy calibrated with real market data. Data science in finance and economics. Data Science in Finance and Economics, 1 (4). pp. 313-326. ISSN 2769-2140 (Online) (doi:10.3934/DSFE.2021017)
modification term
Lin, Xiaozheng, Wang, Meiqing and Lai, Choi-Hong ORCID: https://orcid.org/0000-0002-7558-6398 (2021) A modification term for Black-Scholes model based on discrepancy calibrated with real market data. Data science in finance and economics. Data Science in Finance and Economics, 1 (4). pp. 313-326. ISSN 2769-2140 (Online) (doi:10.3934/DSFE.2021017)
option pricing
Lin, Xiaozheng, Wang, Meiqing and Lai, Choi-Hong ORCID: https://orcid.org/0000-0002-7558-6398 (2021) A modification term for Black-Scholes model based on discrepancy calibrated with real market data. Data science in finance and economics. Data Science in Finance and Economics, 1 (4). pp. 313-326. ISSN 2769-2140 (Online) (doi:10.3934/DSFE.2021017)
second-order derivatives
Lin, Xiaozheng, Wang, Meiqing and Lai, Choi-Hong ORCID: https://orcid.org/0000-0002-7558-6398 (2021) A modification term for Black-Scholes model based on discrepancy calibrated with real market data. Data science in finance and economics. Data Science in Finance and Economics, 1 (4). pp. 313-326. ISSN 2769-2140 (Online) (doi:10.3934/DSFE.2021017)