Niepełna identyfikacja w makroekonomicznym liniowym modelu czynnikowym APT i rola rezydualnego czynnika rynkowego [Underspecification in the macroeconomic APT linear factor model and the role of the residual market factor] J.J. (Kuba) Szczygielski (Department of Financial Management, University of Pretoria, South Africa) The linear factor model is a building block of the Arbitrage Pricing Theory (APT). Macroeconomic factors may be used in linear factor models to proxy for pervasive influences in stock returns. However, macroeconomic linear factor models are likely to suffer from underspecification, which may pose a challenge to the general validity and interpretation of linear factor models and the APT model. A widely applied solution to omitted factor bias in APT literature is the Burmeister and Wall (1986) residual market factor. This study sets out to determine whether macroeconomic factors are adequate proxies for the pervasive factors that drive stock returns and whether the use of a conventional residual market factor derived from a domestic market aggregate adequately resolves underspecification. The role of a second residual market factor derived from a widely used global market index, the MSCI World Market Index, is also considered. By relating factor scores and industrial sector returns to macroeconomic factors and residual market factors in linear factor models, this study finds that macroeconomic factors are poor proxies for pervasive influences in stock returns and that residual market factors fail to account for remaining omitted factors. Researchers of the APT and practitioners are encouraged to take note of these findings. The use of macroeconomic factors and the application of a widely used approach in APT literature to resolve factor omission may not be adequate. This can adversely impact the results of studies focusing on the linear factor model and equilibrium pricing within the APT and studies that apply macroeconomic linear factor models motivated by the APT in general. (*) Based on joint work with L.M. Brummer & H. Wolmarans.