Practical Research on Mathematical Forecasting Financial Model
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With the gradual development of finance, experts and scholars in the process of in-depth study of finance know that rigorous theoretical analysis and computational analysis methods are needed to carry out relevant empirical tests on experiments. In the process of empirical testing, we need to rely on mathematical models to analyze relevant data. Financial mathematical model originated from Louis Bachelier's speculation theory in 1900. The emergence of this theory marks the birth of continuous-time stochastic process and continuous-time option pricing theory. In recent years, with the vigorous development of probability theory and mathematical statistics, differential equation theory, stability theory, complex system theory and other related knowledge theories, the financial mathematical model has shown unprecedented scientificity and gained more and more attention. Mathematical and mathematical statistics as the basic analytical tools have become an important part of the financial research process. By discussing the influence of mathematical models in the financial process on the time process, and analyzing the actual impact of the mathematical model, it promotes the development of finance.
Mathematical prediction; Financial model; Practical research