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Yunmi Kim
 
''Autoregressive conditional beta''
( 2012, Vol. 32 No.2 )
 
 
The capital asset pricing model provides various predictions about equilibrium expected returns on risky assets. One key prediction is that the risk premium on a risky asset is proportional to the nondiversifiable market risk measured by the asset's beta coefficient. This paper proposes a new method for estimating and drawing inferences from a time-varying capital asset pricing model. The proposed method, which can be considered a vector autoregressive model for multiple beta coefficients, is different from existing time-varying capital asset pricing models in that the effects of an exogenous variable on an asset's beta coefficient can be unambiguously determined and the codependence between the beta coefficients of individual assets can be measured and estimated.
 
 
Keywords: Capital Asset Pricing Model, Beta Coefficient, Autoregressive Model
JEL: G1 - General Financial Markets: General (includes Measurement and Data)
 
Manuscript Received : Jan 29 2012 Manuscript Accepted : May 17 2012

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