A Measure of Pure Causality: Application to the CAPM Framework

31 Pages Posted: 31 Jul 2020

Date Written: July 22, 2020


An observed correlation between two variables, unless there are some special conditions, includes the possibility of multiple relations among the two and a third variable. The correlation coefficient is therefore not sufficient to measure the pure relation between two variables. I propose a measure of pure causality (pure predictability) and a linear regression model to estimate it. I apply this method to the capital asset pricing model (CAPM) framework, and analyze the pure predictability of asset returns.

Keywords: third variable problem, Granger causality, pure causality, capital asset pricing model

JEL Classification: C00, G10

Suggested Citation

Lee, Woongki, A Measure of Pure Causality: Application to the CAPM Framework (July 22, 2020). Available at SSRN: https://ssrn.com/abstract=3657414 or http://dx.doi.org/10.2139/ssrn.3657414

Woongki Lee (Contact Author)

Korea University ( email )

Anam-Dong, Seongbuk-Gu
Seoul 136-701, Seoul 136701
Korea, Republic of (South Korea)
82-10-9759-8400 (Phone)

HOME PAGE: http://sites.google.com/view/wlee

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