InterDigital Skewness
| IDCC Stock | | | USD 368.50 9.05 2.52% |
Skewness describes asymmetry of returns from the normal distribution. It can come in the form of negative skewness or positive skewness, depending on whether data points are skewed to the left (negative skew) or to the right (positive skew) of the data average. Below is InterDigital's current Skewness with peer comparisons and related risk metrics.
Current Skewness Value
With Skewness at 0.6476, InterDigital shows moderate positive skew — the return distribution leans toward larger upside moves. InterDigital's returns show a greater frequency or magnitude of positive outliers relative to negative ones.
Skewness Peers Comparison
Relative to peers, InterDigital's Skewness is above the group average of -0.42. Peer readings range from -1.4087 (Akamai Technologies) to 0.839 (Nice Ltd ADR), reflecting tight clustering across the sector. InterDigital's positive skew relative to peers indicates a higher frequency of large upside moves.
Skewness Relative To Other Indicators
The chart below plots Skewness against Maximum Drawdown for InterDigital and its peers. Each point represents one equity — position along the horizontal axis shows Skewness while the vertical axis shows Maximum Drawdown. Equities that cluster in different quadrants carry distinct risk-return profiles. Use the dropdowns to swap in other indicators for either axis.
With Skewness at
0.65 and Maximum Drawdown at
17.57 , InterDigital shows a
27.12 -to-one ratio between these indicators. This indicates Maximum Drawdown substantially exceeds Skewness for InterDigital.
Methodology, Assumptions & Data Sources
InterDigital has a current Skewness reading of 0.6476. The Skewness for InterDigital is produced by transforming raw price history into a standardized measure according to the indicator's defined methodology. Inputs are drawn from end-of-day closing prices reported by supported exchanges, adjusted for splits and dividends where applicable. InterDigital operates in the information technology sector, which may exhibit distinct volatility and momentum characteristics relative to the broader market. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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