5 Key Concepts of Neural Networks in Quantitative Finance
Neural networks, inspired by the intricate connections of the human brain, have become the backbone of modern artificial intelligence.
Neural networks, inspired by the intricate connections of the human brain, have become the backbone of modern artificial intelligence. These powerful models excel at tasks like image recognition, natural language processing, and recommendation systems. In this article, we'll delve into the fundamental concepts that underpin neural networks, demystifying their inner workings. Whether you're a beginner or an enthusiast, fasten your seatbelt as we explore the neural landscape!
Neural Networks in Quantitative Finance
In quantitative finance, neural networks are often used for time-series forecasting, constructing proprietary indicators, algorithmic trading, securities classification, and credit risk modelling. They have also been used to construct stochastic process models and price derivatives. Despite their usefulness, neural networks also face challenges in finance, including interpretability, overfitting, and data quality. As the field evolves, researchers continue to refine these model…