negative skewness

negative skewness

[′neg·əd·iv ′skü·nəs]
(mathematics)
Skewness in which the mean is smaller than the mode.
References in periodicals archive ?
Results are quite different for Nino4, where weak negative skewness (Fig.
Having said this, they showed that returns from conventional momentum strategies have a deep negative skewness, indicating that distribution of returns is heavily tilted to the left with wider tails than a normal distribution (this could explain the reason for big losses during certain events in the markets).
Apart from REXR that posted negative skewness, and thus a distribution having a long left tail, the other variables CEXR and UNER have positive skewness implying that their distributions have long right tails.
A perfectly symmetrical distribution has skewness value of 0 while negative skewness indicates a shift to the left, while positive--a shift to the right
Presence of negative skewness in returns indicates that declines in returns are more frequent than the increases.
Disasters are usually modeled as a shock that induces negative skewness in the distribution of output.
Furthermore, negative skewness indicates a greater probability of large falls in electricity price than large increases.
The most serious departure from normality encountered with soil data has been reported as positive or negative skewness.
For the lubricating contact, surfaces with more negative skewness and higher kurtosis will benefit to reduce the frictional force, on account of a feature of flat surface with many deep valleys.
In practice, country equity markets with past positive skewness of return distributions should lose to markets with negative skewness.
In testing asymmetric volatility, recently Chen, Hong, and Stein (2001) show that stock daily returns revealed negative asymmetry or negative skewness in the U.