We empirically analyze asset price boom-bust cycles over a long-run period of 1896-2014 for the U.S., the Netherlands, Norway and Sweden. We focus on macro-financial linkages to understand if these are common phenomena during financial crises, or if the linkage was simply amplified during the...

Given the economy's complex behavior and sudden transitions as evidenced in the 2007-08 crisis, agent-based models are widely considered a promising alternative to current macroeconomic practice dominated by DSGE models. Their failure is commonly interpreted as a failure to incorporate...

The main results of the macro stress testing exercise in this paper reveal that Malaysia's banking sector is resilient, well diversified, and highly interconnected. Further, Malaysia has a thriving equity market, large bond market and growing private debt securities. Main results of the baseline...

This paper examines which measures of financial conditions are informative about the tail risks to output growth in the euro area. The Composite Indicator of Systemic Stress (CISS) is more informative than indicators focusing on narrower segments of financial markets or their simple aggregation...

This paper contributes to the literature on the properties of money and credit indicators for detecting asset price misalignments. After a review of the evidence in the literature on this issue, the paper discusses the approaches that can be considered to detect asset price busts. Considering a...

I estimate a dynamic stochastic general equilibrium (DSGE) model for the United States that incorporates oil market shocks and risk shocks working through credit market frictions. The findings of this analysis indicate that risk shocks play a crucial role during the Great Recession and the...

The question of what is the economic environment that is most likely to anticipate a recession is still open, as the literature has emphasized either the importance of deteriorating financial conditions and that of worsening macroeconomic indicators. Using a probit forecasting model, we show...

A reflection on the lackluster growth over the decade since the Global Financial Crisis has renewed interest in preventative measures for a long-standing problem. Advances in machine learning algorithms during this period present promising forecasting solutions. In this context, the paper...

Financial cycles can be important drivers of real activity, but there is scant evidence about how well they signal recession risks. We run a horse race between the term spread - the most widely used indicator in the literature - and a range of financial cycle measures. Unlike most papers, ours...