the purpose of this research is investigation of application of the arbitrage pricing theory and effect of unanticipated changes in a set of macroeconomic variables such as inflation rate, money supply, exchange rate, oil price, term structure and industrial production on expected security return in tehran stock exchange. in this research, data are analyzed quarterly for the period of 1997-2008...

Bayesian methods are developed for the seemingly unrelated regressions (SUR) model where the model order or structure is presumed random. In particular we consider the class of models that are linear in some basis space. This class includes standard linear regression as a special case, as well as those models that involve non-linear transformations of the explanatory variables through a set of ...

In this paper, we investigate seemingly unrelated regression (SUR) models that allow the number of equations (N) to be large, and comparable observations in each equation (T). It is well known literature conventional SUR estimator, for example, generalized least squares (GLS) estimator Zellner (1962) does not perform well. As main contribution propose a new feasible GLS called graphical lasso (...

Maximum Likelihood Estimation and Lagrange Multiplier Tests for Panel Seemingly Unrelated Regressions with Spatial Lag and Spatial Errors: An Application to Hedonic Housing Prices in Paris This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and spatial error components. We study the general case where spatial effects are incorporated...

This paper outlines an approach to Bayesian semiparametric regression in multiple equation models which can be used to carry out inference in seemingly unrelated regressions or simultaneous equations models with nonparametric components. The approach treats the points on each nonparametric regression line as unknown parameters and uses a prior on the degree of smoothness of each line to ensure ...

The negative CAPM alphas of high-beta and high-variance stocks are attributable to an unaccounted factor in the CAPM. We use eight seemingly unrelated anomalies construct a composite spirit optimal orthogonal portfolio (FOP). Accounting for FOP re-establishes positive relation between beta average returns time series regressions as well cross-sectional explains stocks. To analyze economic drive...

We propose an efficient semiparametric estimator for the coefficients of a multivariate linear regression model — with a conditional quantile restriction for each equation — in which the conditional distributions of errors given regressors are unknown. The procedure can be used to estimate multiple conditional quantiles of the same regression relationship. The proposed estimator is asymptotical...