Timely identification and anticipation of adverse conditions in the financial system are critical for macroprudential policy. However, there is no consensus on how to evaluate the quality of systemic measures. This paper provides a framework to compare measures of systemic conditions. We illustrate the proposed tests with a case study of US measures from 1976 to 2013. We find that measures which include information from multiple markets improve identification of critical system states. However, tested measures show limited capacity to anticipate critical episodes.

Economic policy uncertainty affects decisions of households, businesses, policy makers and financial intermediaries. We first examine the impact of economic policy uncertainty on aggregate bank credit growth. Then we analyze commercial bank entity level data to gauge the effects of policy uncertainty on financial intermediaries’ lending. We exploit the cross-sectional heterogeneity to back out indirect evidence of its effects on businesses and households. We ask (i) whether, conditional on standard macroeconomic controls, economic policy uncertainty affected bank level credit growth, and (ii) whether there is variation in the impact related to banks’ balance sheet conditions; that is, whether the effects are attributable to loan demand or, if impact varies with bank level financial constraints, loan supply. We find that policy uncertainty has a significant negative effect on bank credit growth. Since this impact varies meaningfully with some bank characteristics – particularly the overall capital-to-assets ratio and bank asset liquidity-loan supply factors at least partially (and significantly) help determine the influence of policy uncertainty. Because other studies have found important macroeconomic effects of bank lending growth on the macroeconomy, our findings are consistent with the possibility that high economic policy uncertainty may have slowed the U.S. economic recovery from the Great Recession by restraining overall credit growth through the bank lending channel.

We construct Monetary Services (Divisia) Indexes at various levels of aggregation (the broadest of which is M4) from the late 1940s through 1967 employing methods designed to permit these historical series to be spliced to corresponding series currently published by the Center for Financial Stability (CFS), which begin in 1967. The annualized growth rate of our MSI M2 during 1947 to 1967 generally lies between the growth rates of conventional M1 and M2, while the growth rate of MSI M3 is below that of conventional M3 over the same period. Using spliced series, we find that the velocities of the MSI exhibit gradual upward trends from the late 1940s through 1978, with distinct upward shifts in the late 1970’s and early 1980’s, while the velocity of conventional M3 trends downward between 1953 and 1982. Using a Fourier demand model, we find elastic substitution between M1 and the non-M1 components of MSI M3 up to 1967, but inelastic substitution between bank and thrift deposits.