Given two vectors of portfolio returns this function summarizes their ranks based on moments, deciles and exact measures of stochastic dominance. as explained in Vinod (2021). This algorithm has model selection applications.
Data on returns for portfolio A in the form of a T by 1 vector
Data on returns for portfolio B in the form of a T by 1 vector
Returns three numbers which represent signs based differences in ranks (rank=1 for most desirable) measured by [rank(xa)-rank(xb)] using momentVote, decileVote, and exactSdMtx which are weighted averages of four moments, nine deciles and exact measures of stochastic dominance (from ECDFs of four orders, SD1 to SD4) respectively.
There are model-selection applications where two models A and B are
compared and one wants to choose the model smaller absolute value of
residuals. This function when applied for model-selection will have
he inputs xa and xb as absolute residuals. We can compare the entire
probability distributions of absolute residuals by moments, deciles
or SD1 to SD4. Of course, care must be taken to choose xa or
xb depending on which model has smaller absolute residuals. This choice
is the exact opposite of portfolio choice application where
larger return is more desirable.
siPair2Blk call this
function for model selection application.
Prof. H. D. Vinod, Economics Dept., Fordham University, NY
Vinod, H. D.", "Hands-On Intermediate Econometrics Using R" (2008) World Scientific Publishers: Hackensack, NJ. (Chapter 4) https://www.worldscientific.com/worldscibooks/10.1142/6895
Vinod, Hrishikesh D., R Package GeneralCorr Functions for Portfolio Choice (November 11, 2021). Available at SSRN: https://ssrn.com/abstract=3961683
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