We study the possibility of making social evaluations of allocations independently of individuals’ preferences over unavailable commodities. This is related to the well-known problem of performing international comparisons of standard of living across countries with different consumption goods. We prove impossibility results which suggest that such evaluations encounter difficulties when the ob...

Despite having become firmly established as one of the major cornerstone principles of modern finance, traditional Markowitz mean-variance analysis has, nevertheless, failed to gain widespread acceptance as a practical tool for equity management. The Markowitz optimization enigma essentially centers on the severe estimation risk associated with the input parameters, as well as the resultant fin...

In universal personal telecommunication (UPT) environments, UPT networks retain information related to incall/outcall registration in UPT user service profiles in order to provide incoming UPT calls for UPT users in any location who have registered at a terminal. As UPT networks support incall registration, terminal users can be different from terminal owners, and several UPT users can register...

Suppose we observe an ergodic Markov chain on the real line, with a parametric model for the autoregression function, i.e. the conditional mean of the transition distribution. If one speciies, in addition, a paramet-ric model for the conditional variance, one can deene a simple estimator for the parameter, the maximum quasi-likelihood estimator. It is robust against misspeciication of the condi...

We provide a comprehensive analysis of the two-parameter Beta distributions seen from perspective second-order stochastic dominance. By changing its parameters through bijective mapping, we work with bounded subset D instead an unbounded plane. show that mean-preserving spread is equivalent to increase variance, which means higher moments are irrelevant compare riskiness distributions. then der...

Research on ensemble perception has shown that people can extract both mean and variance information, but much less is understand how these two different types of summaries interact with one another. Some research argued are more erroneous in extracting the displays have greater variability. In all three experiments, we manipulated variability displays. Participants reported size a set circles ...

In this review, we focus on two major influences on current conceptualizations of psychopathy: one clinical, with its origins largely in the early case studies of Cleckley, and the other empirical, the result of widespread use of the Hare Psychopathy Checklist-Revised (PCL-R) for assessment purposes. Some investigators assert that the PCL-R, ostensibly based on Cleckley's work, has "drifted" fr...

The purpose of this paper is to examine the application LSTM and mean variance portfolio optimization in Chinese stock market. 20 stocks are selected from CSI 300 components, we collect their High, Low, Open, Adjust Close trade volume June 16th 2020 2022. Then use model forecast price. results used construct 2 portfolios. One maximize Sharpe ratio, other minimize variance. From April 6th 2022, ...

The objective of comparing various dimensionality techniques is to reduce feature sets in order group attributes effectively with less computational processing time and utilization memory. reduction algorithms can decrease the dataset consisting a huge number interrelated variables, while retaining dissimilarity present as much possible. In this paper we use, Standard Deviation, Variance, Princ...