TOBIN-Q, LIQUIDITY AND MOMENTUM RISK-PREMIA: A DEMONSTRATION OF WEIGHTED LEAST SQUARES REGRESSION APPROACH

Tobin-Q, Liquidity and Momentum risk-premia: A Demonstration of Weighted Least Squares Regression Approach

Tobin-Q, Liquidity and Momentum risk-premia: A Demonstration of Weighted Least Squares Regression Approach

Blog Article

Purpose- The basic purpose of the study is to examine whether Tobin-q, liquidity and momentum risk-premium contributes the explanatory power in terms of explaining portfolio returns in PSX.Design/Methodology- The Weighted Least Square (WLS) regression technique is empirically used to examine the nexus between risk-factor and portfolio returns using PSX dataset.The models provide useful tools for making efficient strategies in hiboost 4k smart link the jurisdiction of investments and portfolio constructions.

Findings- The study reveals that multidimensional liquidity exhibits weak significant results while Tobin-q and momentum risk-factors demonstrate statistically significant determinants for PSX.Furthermore, WLS regression produces robust coefficient results than OLS regression as except liquidity all the factors exhibit substantially improved transpharm online shopping results.Practical Implications- The study findings would be useful for stocks and portfolio managers constructing optimal and diversified portfolios while investing in PSX.

Report this page