TY - GEN
T1 - A Python Application Software to Option Pricing and the Estimation of Price Sensitivities as a Component of a Financial Information System
AU - Hatemi-J, Abdulnasser
AU - Mustafa, Alan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Determining the fair price of options and estimating the price sensitivities are important issues for dealing with financial risk. However, the calculation of these values can be a tedious process. This paper aims at option pricing and the estimation of price sensitivities via a module created by the authors in Python. Furthermore, as it is known, any information system is a collection of sub subsystems, which work together as a series of supportive components to a larger system. This module works to support any 'Financial Information System' in its algorithmic approach to option pricing and the estimation of price sensitivities. This module has been developed in Python, which can work side-by-side with any financial information system and supports the decision-making process of financial planning of any financial organization. This Python module is being developed into four subcomponents. A numerical example is provided for determining the fair value of options and estimating the price sensitivities using two different approaches. These values can be important inputs for hedging purposes.
AB - Determining the fair price of options and estimating the price sensitivities are important issues for dealing with financial risk. However, the calculation of these values can be a tedious process. This paper aims at option pricing and the estimation of price sensitivities via a module created by the authors in Python. Furthermore, as it is known, any information system is a collection of sub subsystems, which work together as a series of supportive components to a larger system. This module works to support any 'Financial Information System' in its algorithmic approach to option pricing and the estimation of price sensitivities. This module has been developed in Python, which can work side-by-side with any financial information system and supports the decision-making process of financial planning of any financial organization. This Python module is being developed into four subcomponents. A numerical example is provided for determining the fair value of options and estimating the price sensitivities using two different approaches. These values can be important inputs for hedging purposes.
KW - Option Pricing
KW - Price Sensitivities
KW - Python
KW - Risk Management
KW - Software Component
UR - http://www.scopus.com/inward/record.url?scp=85151693950&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85151693950&partnerID=8YFLogxK
U2 - 10.1109/MCSI55933.2022.00015
DO - 10.1109/MCSI55933.2022.00015
M3 - Conference contribution
AN - SCOPUS:85151693950
T3 - Proceedings - 2022 7th International Conference on Mathematics and Computers in Sciences and Industry, MCSI 2022
SP - 51
EP - 54
BT - Proceedings - 2022 7th International Conference on Mathematics and Computers in Sciences and Industry, MCSI 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Mathematics and Computers in Sciences and Industry, MCSI 2022
Y2 - 22 August 2022 through 24 August 2022
ER -