We propose exible models for multivariate realized volatility dynamics which involve generalizations of the Box-Cox transform to the matrix case. The matrix Box-Cox model of realized covariances (MBC-RCov) is based on transformations of the covariance matrix eigenvalues, while for the Box-Cox...

Ambiguity surrounds any importance measure in cases in which predictor variables are correlated. However, a new measure is proposed that has attractive properties, such as providing individual contributions that are both non-negative and sum to R2. The new measure is compared with four other...

This paper examines and analyzes the use of Multivariate Regression Analysis (MRA) as a forecasting tool. The authors attempt to test the capability of the multivariate regression model to forecast the prices of stocks classified as ‘A-Group' by the Bombay Stock Exchange (BSE). Researchers in...

In the present world where education is considered an important factor, all educational institutions are facing competition at a higher level. Students are diverted towards doing higher courses offered by numerous institutes, universities, and colleges, however with the increase in the number of...

This research explores how one may predict the Gross Domestic Product (GDP) of a country using a technique known as multiple linear regression (MLR). Specifically, we explore whether other macroeconomic variables such as population, interest rates, unemployment rates, amongst others, can be used...