Cross Sectional Regression
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Cross sectional regression. Asset pricing with prof. Appendices a b and c contain complete reviews of these topics. Cross sectional research is an observational research methodology that tries to understand and sort out the differences between two or more variables.
Cross sectional analysis looks at data collected at a single point in time rather than over a period. In statistics and econometrics a cross sectional regression is a type of regression in which the explained and explanatory variables are all associated with the same single period or point in time. The distinctions are studied to find out how they affect the participating population at a given moment in time.
Cross sectional analysis is one of the two overarching comparison methods for stock analysis. An example of cross sectional analysis in economics is the regression of money demand the amounts that various people hold in highly liquid financial assets at a particular time upon their income total financial wealth and various demographic factors. This type of cross sectional analysis is in contrast to a time series regression or longitudinal regression in which the variables are considered to be associated with a sequence of points in time.
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