Pan Shenyin
ABSTRACT
since S.M. Ulam and J. von Neumann discovered the Monte Carlo simulation method, it has been widely used in various fields. However, its application in the field of financial management is very limited, and it is only used in the risk analysis of project investment. In this paper, Monte Carlo simulation is introduced into financial statement analysis. Combined with the application of Python in financial data mining and analysis, the method of financial statement analysis is broadened. Taking the long-term solvency index of 10 optical optoelectronic industries listed in China as an example, the application principle and process of this method are explained, which can provide reference for later researchers.
- Lu Jing Application of Monte Carlo simulation in financial forecasting [j] China commerce and trade, 2013 (12): 77-78J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, 68–73.Google Scholar
- Wangyufa Financial statement analysis based on Monte Carlo simulation random sampling [j] Statistics and decision making, 2017 (12): 182-185Google Scholar
- Xie ZuoKai, Ding Yao Research on PPP financial risk assessment of Chinese Characteristic Towns – Based on Monte Carlo method [j] Productivity research, 2019 (04): 139-144.Google Scholar
- Duguiying Analysis on the role of enterprise financial statement analysis in financial management [j] Knowledge economy, 2020 (10): 66-67.Google Scholar
- Lakshya Kumar,Apurva Jindal,Nagendra R. Velaga. Financial risk assessment and modelling of PPP based Indian highway infrastructure projects[J]. Transport Policy,2018,62.Google Scholar
- Uwe Arnold,Özgür Yildiz. Economic risk analysis of decentralized renewable energy infrastructures – A Monte Carlo Simulation approach[J]. Renewable Energy,2015,77.Google Scholar
- Li Qian, Xu Chaoyang Financial analysis of "Ningde era" under Harvard Analysis Framework [j] China business theory, 2020 (21): 114-118.Google Scholar
- Jiang Zhao, xiexiaowei Application and research of data visualization based on Python [j] Science and technology innovation, 2020 (30): 88-89.Google Scholar
- Siyujuan Enterprise financial statement analysis under Harvard Analysis Framework – Taking blue flame holdings as an example [j] Business accounting, 2020 (18): 75-78.Google Scholar
- Ji Hong On the application of financial intelligence in practical work [j] Business news, 2020 (23): 34-35.Google Scholar
- Linyudong Analysis of financial index stock selection and investment strategy based on Python – Taking China's stock market from 2009 to 2019 as an example [j] Business news, 2020 (01): 1-2.Google Scholar
- Linhongxi, linruyan Application analysis of DuPont financial model in Midea Group [j] Practice and understanding of mathematics, 2019,49 (24): 320-326.Google Scholar
- Zhang Yunyu Research on data analysis based on Python [j] Computer knowledge and technology, 2019,15 (30): 3-4.Google Scholar
- Wangyuhua, Li Jiao, Fang Shudong Research on Monte Carlo algorithm of PI based on Python [j] Journal of Chizhou University, 2019,33 (03): 17-18.Google Scholar
- Du fan, Zhang Qing Analysis of enterprise financial situation based on Analytic Hierarchy Process Model – Taking Tsingtao Beer Co., Ltd. as an example [j] Journal of Taiyuan municipal Party school, 2014 (06): 44-48+68.Google Scholar
- Zhouhanchen Financial analysis of Xinyu photovoltaic industry based on SWOT model [j] Shang, 2013 (02): 92Google Scholar
- Chaihong, Ma Zhushu Financial risk assessment of engineering project based on Monte Carlo simulation method [j] Project management technology, 2012,10 (11): 79-82.Google Scholar
Index Terms
- Research on Monte Carlo financial index simulation method based on Python Technology
Recommendations
SEO Pricing with Marketability Restriction - A Monte Carlo Method with Stochastic Return and Volatility
ISECS '09: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02In capital market, second equity offering (SEO) is the main method of refinancing for listed companies. Private placement is a representative example of SEO. And in recent years, more and more irrational phenomena have been rising with private placement ...
Option Sensitivity Simulation by Malliavin Calculus and Quasi-Monte Carlo Methods
BIFE '12: Proceedings of the 2012 Fifth International Conference on Business Intelligence and Financial EngineeringThis paper discusses simulation of the sensitivities or Greek letters of options by Malliavin calculus (MV) combined with Monte Carlo (MC) and quasi-Monte Carlo (QMC) methods. Formulas for Greek letters are derived for options with one underlying asset ...
Comments