Abstract
This paper extends the classic factor-based asset pricing model by including network linkages, leading to a network-augmented linear factor model. This extension of the model allows a better understanding of the determinants of systematic risk and shows that cross-sectional risk premia can be estimated more precisely. Moreover, we demonstrate that in the presence of network links a misspecified traditional linear factor model presents residuals that are correlated and heteroskedastic. We support our claims with an extensive simulation experiment and real data.
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