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SP-500-Time-Series-analysis

In this statistical project we study the properties of the financial series of the SP500 index since 1980. We perform a statistical analysis of the properties of the series:

  • Descriptive statistics
  • Stationarity
  • Normality
  • Autocorrelation
  • Financial interpretation of properties

We explore different modeling approaches:

  • Exponential smoothing and moving average smoothing
  • ARIMA model
  • ARCH and GARCH volatility model
  • Combination of ARIMA and ARCH models

The details of the work can be found in the report and the notebook