Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

Abstract: Maximum and minimum of correlated Gaussian random variables arise naturally with respect to statistical static time analysis. It appears, however, that only approximations have been used in ...

Interest Rate Probability Distributions Implied by Derivatives Prices is a daily measure of the distribution of future short-term interest rates, calculated from prices of fixed-income derivatives ...

Traditional probability-based structural reliability analysis method can only consider random uncertainties described by random distribution functions, which required sufficient experimental samples.

In statistics, a population refers to the entire group of individuals or items that we are interested in studying. However, collecting data from the whole population is often impractical due to size, ...

(L-R) Samuel L. Pierce and Eric Doctorow Random Media EXCLUSIVE: Eighteen-year-old Seattle-based actor and filmmaker Samuel L. Pierce and his newly formed production company Electric Shock Productions ...

Forecasting for any small business involves guesswork. You know your business and its past performance, but you may not be comfortable predicting the future. Using Excel is a great way to perform what ...

Abstract: In this paper, we investigate the classical problem of finding the probability density function of the sum of Nakagami-m random variables. An exact infinite series formula is derived for the ...