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@article{194239,
        author = {Dr. Arunkumar Deshalbhai Chauhan},
        title = {Comparative study of Classical Black-Scholes model and Machine Learning Models for Indian Call Option Pricing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {3206-3213},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194239},
        abstract = {This paper compares the option prices of Indian stock’s call options computed by classical Black-Scholes model with some machine learning models. Five machine learning models, Multiple Linear Regression model, Polynomial regression model, Support Vector regression model, Decision tree regression model and Random Forest regression model have used in this comparison. First, we have trained these machine learning models using call data downloaded from NSE website. Then use them to predict call option prices. After this we have compared these option prices with Black Scholes prices and actual market prices. Then we have used Root Mean Square Error (RMSE) to check which model computes the best option prices for Indian stocks.},
        keywords = {Black–Scholes Option Pricing Model, Multiple Linear Regression, Polynomial Regression, Decision Tree Regression, Random Forest Regression, Support Vector Regression, Indian Stock Market.},
        month = {March},
        }