The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...

We identify the origin of the contradicting perspectives on credit creation offered by Austrian, Mainstream and Post Keynesian economists as the neglect of the primacy of such assets as goods, properties and securities, which always pre-exist any transaction and loan. We develop a unified...

We offer a theory of financial c ontagion b ased o n t he i nformation c hoice o f i nvestors after observing a financial crisis e lsewhere. We study global coordination games of regime change in two regions linked by an initially unobserved macro shock. A crisis in region 1 is a wake-up call to...

We study the interaction between borrowers' and banks' solvency in a quantitative macroeconomic model with financial frictions in which bank assets are a portfolio of defaultable loans. We show that ex-ante imperfect diversification of bank lending generates bank asset returns with limited...

This paper proposes a semi-structural approach to identifying excessive household credit developments. Using an overlapping generations model, a normative trend level for the real household credit stock is derived that depends on four fundamental economic factors: real potential GDP, the...

The main result in Svensson (2017) and its previous versions is that, given current knowledge and empirical estimates, the cost of using monetary policy to \lean against the wind" for financialstability purposes exceeds the benefit by a substantial margin. Adrian and Liang (2016a) conduct a...

Since 2009, stock markets have resided in a long bull market regime. Passive investment strategies have succeeded during this low-volatility growth period. From 2018 on, however, there was a transition into a more volatile market environment interspersed by corrections increasing in amplitude...

We present evidence that referenda have a significant, detrimental outcome on investment. Employing an unsupervised machine learning algorithm over the period 2008-2017, we construct three important uncertainty indices underlying reports in the Scottish news media: Scottish independence...