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Neural Network Forecasts (linear, nonlinear logistic, hyperbolic tangent, and cosine).

Latin Hypercube Sampling (complements existing Monte Carlo Simulation).

T-Copulas and Quasi-Normal Copula, Normal Copula for correlated simulations.

Stepwise Multiple Regression (forward, backward, correlation, forward-backward).

Trendline Forecasts (linear, nonlinear polynomial, power, logarithmic, exponential, moving average).

Data Detrending and Cyclicality Analysis.

MLE-LIMDEP (Maximum Likelihood Estimation for Limited Dependent Variables): Logit, Probit, Tobit.

GARCH Models: GARCH, GARCH-M, TGARCH-M, TGARCH, EGARCH, EGARCH-T, GJR GARCH, GJR TGARCH.