Forecasting Stock Returns using ARIMA model (Time Series Modeling)

“Prediction is very difficult, especially about the future”. In this session, we will cover the popular ARIMA forecasting model to predict returns on a stock and demonstrate a step-by-step process of ARIMA modeling.

 

 

Structure of the Hack-Session

This is a 1-hour Hack- Session and includes the following modules:

 

  • What makes Time Series Special?
  • Loading and Handling Time Series data (Stock data) in Pandas
  • How to Check Stationarity of a Time Series?
  • How to make a Time Series Stationary?
  • Forecasting a Stock Returns using ARIMA

 

Make sure you don’t miss this hack-session on Time Series forecasting using ARMA model! Get your tickets today to access this session.

 

 

INSTRUCTORS

Neeraj Singh Sarwan

 

 

Duration of Hack-Session: 1 hour

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