Loosely inspired by biological neural networks, artificial neural networks (ANNs) are powerful statistical models. With the potential to recognize subtle structure in data, neural networks are commonly used for financial forecasting, such as volatility forecasting. Today we’ll introduce neural networks and discuss their differences with classical volatility models. If you have requests for any topics, reach out to Julia (@FinancePhoton) or Eddie (@ERajcevic11) on Twitter! You can also submit ideas through this form: https://www.tastytrade.com/alp