Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers ...

but the standard deviation assumes a normal distribution. As few return distributions appear normal, skewness is a better measure to base performance predictions. Skewness risk is the increased ...

Abstract: An approximate technique is presented for the evaluation of the mean and variance of the power sums with log-normal components ... the power sum provides a characterization of the cumulative ...

Flat prior (not usually recommended); Super-vague but proper prior: normal(0 ... have been scaled to have mean 0 and standard deviation 0.5, Gelman et al (2008) (A Weakly Informative Default Prior ...

Simulation and estimation of ARCH and GARCH processes, used to model the time-varying standard deviation (volatility) of asset returns, with conditional distributions such as the normal, Laplace, and ...

Now, there exists a lacuna in law regarding the true position of the NG-CDF, yet it has wholly transformed the society. CDF was established with good intentions, given the prevailing state of the ...

But this week my focus is not on these appointments but on the ongoing public participation forums by Parliament on constitutionalising the three funds, the National Government CDF, the ...

While “normal” encompasses statistical, medical, psychological, and sociocultural dimensions, its definitions diverge ...

This manuscript characterizes a mutated clone of RNA polymerase I in yeast, referred to as SuperPol, to understand the mechanisms of RNA polymerase I elongation and termination. The authors present ...