research
∙
11/29/2022
Optimizing Stock Option Forecasting with the Assembly of Machine Learning Models and Improved Trading Strategies
This paper introduced key aspects of applying Machine Learning (ML) mode...
share
research
∙
08/25/2022
Application of Convolutional Neural Networks with Quasi-Reversibility Method Results for Option Forecasting
This paper presents a novel way to apply mathematical finance and machin...
research
∙
07/19/2022
Using the Newton-Raphson Method with Automatic Differentiation to Numerically Solve Implied Volatility of Stock Option through Binomial Model
In the paper written by Klibanov et al, it proposes a novel method to ca...
research
∙
11/18/2020