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

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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 Glucose Supplement 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 GOLD SNAIL CREAM as except liquidity all the factors exhibit substantially improved results.

Practical Implications- The study findings would be useful for stocks and portfolio managers constructing optimal and diversified portfolios while investing in PSX.

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