The Federal Reserve Bank of New York works to promote sound and well-functioning financial systems and markets through its provision of industry and payment services, advancement of infrastructure reform in key markets and training and educational support to international institutions.
The Outreach and Education function engages, empowers and educates the Second District communities that the Bank serves, especially civic leaders, students, educators, small business owners, policymakers and the general public. It furthers the Bank's commitment to the region by listening to the communities we serve and leveraging our unique attributes to positively impact school and university programs, as well as analysis and research.
We complement the conditional capital asset pricing model (CAPM) by introducing unobservable long-run changes in risk factor loadings. In this environment, investors rationally “learn” the long-run level of factor loading by observing realized returns. As a direct consequence of this assumption, conditional betas are modeled using the Kalman filter. Because of its focus on low-frequency variation in betas, our approach circumvents recent criticisms of the conditional CAPM. When tested on portfolios sorted by size and book-to-market ratio, our learning-augmented conditional CAPM fails to be rejected.
For a published version of this report, see Tobias Adrian and Francesco Franzoni, "Learning about Beta: Time-Varying Factor Loadings, Expected Returns, and the Conditional CAPM," Journal of Empirical Finance 16, no. 4: 537-556.