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Rolling Moments
Single Asset View: Korea
Index Family: [dynAAx EMMA]
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How to read this graph
Time series plots of rolling moments show us how the distribution of financial returns changes over time. Moments, (mean and variance), and Cumulants (skewness and kurtosis) are computed from a running window of one year length which are shifted on a monthly base.

The mean is the average location measure of the returns. High values reflect high performance gains, negative values reflect losses. Steep increases in the mean reflect a bullish market, steep decreases a bearish market.

Standard deviation is computed as the square root of the variance which measures the disperson from the mean. High values of the standard deviation reflect a volatile market. Incresing volatility means increasing risk.

Skewness measures the spread of financial returns symmetrically around the mean value. A positive skewness tells us that gains overbalnance losse. On the otherhand a negative skewness reflects that losses dominate the financial return series.

Kurtosis is a measure of the peakedness of the financial return distribution. Higher kurtosis means more of the variance is due to infrequent extreme deviations, as opposed to frequent modestly-sized deviations. Financial return series with high kurtosis show often also fat tails.
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