A central issue for managers or investors in portfolio management of assets is to select the assets to be included and to predict the value of the portfolio, given a variety of historical and concurrent information regarding each asset in the portfolio. There exist several criteria or models to...

A failure in providing human rights is generally due to at least four factors: bad governance, vested interests, cultural factors and poverty. We cannot eliminate human rights violations without a local countervailing power sustained by good governance. Local entrepreneurs, who are essential for...

Since causal paths are important for all sciences, my package 'generalCorr' provides sophisticated R functions using four orders of stochastic dominance and generalized partial correlation coefficients. A new test (in Version 1.0.3) replaces Hausman-Wu medieval-style diagnosis of endogeneity...

Consumer theory maximizes utility subject to a budget constraint, ignoring that the ratio of consumer debt to disposable income has varied between 30% and 130%. Granger-causality tests also confirm Consumption-precedence over income. We discuss features of newer US data allowing families greater...

Partial derivatives have a special place in economics since the marginal revolution of the 1850s. We present results from multivariate partial derivative estimates using nonlinear non-parametric regressions in a finite difference method, accessible via the R-package NNS. Numerical partial...

Certain lawyers are asking the president-elect Trump and family to sell all his assets including vast world-wide real estate at fire-sale prices and place the proceeds in a blind trust or US Treasury bonds. This will be very disruptive, unfair and may discourage future global entrepreneurs from...

Karl Pearson developed the correlation coefficient r(X,Y) in 1890s vastly underestimates dependence between two series. Vinod(2014} develops new generalized correlation coefficients so that when r*(Y|X) r*(X|Y) then X is the "kernel cause'' of Y. Vinod (2015) reports simulations favoring kernel...

Theil (1968) proposed a transformation of regression residuals so that they are best (minimizes the trace of its covariance matrix), linear, unbiased and subject to the constraint that its covariance matrix is scalar (BLUS) in the sense that it is proportional to the identity matrix. Despite...