Metric-based methods quantify changes in ‘memory’ and variance properties of a time series without attempting to fit the data with a specific model structure.

Metric-based methods currently include:

• Autocorrelation and Spectral properties
• Variance
• Skewness and Kurtosis
• Detrended fluctuation analysis
• Conditional heteroskedasticity
• BDS test