We analyze the feedback mechanisms between economic downturns and financial stress for several euro area countries. Our study employs newly constructed financial condition indices that incorporate banking variables extensively. We apply a non-linear Vector Smooth Transition Autoregressive...

We analyze the feedback mechanisms between economic downturns and financial stress for euro area countries. Our study employs newly constructed financial condition indices that incorporate extensively banking variables. We apply a nonlinear Vector Smooth Transition Autoregressive (VSTAR) model...

We analyze the feedback mechanisms between economic downturns and financial stress for several euro area countries. Our study employs newly constructed financial condition indices that incorporate banking variables extensively. We apply a non-linear Vector Smooth Transition Autoregressive...

Failing to account for joint dynamics of credit and asset prices can be hazardous for countercyclical macroprudential policy. We show that composite financial cycles, emphasising expansions and contractions common to credit and asset prices, powerfully predict systemic banking crises. Further,...

The paper assesses the impact of adding information on financial cycles on the output gap estimates for eight advanced economies using two unobserved components models: a reduced form extended Hodrick-Prescott filter, and a standard semi-structural unobserved components model. To complement...

We examine a propagation mechanism that arises from households' long-term borrowing and show empirically that it has sizable real effects. The mechanism recognises that when there is long-term debt, an impulse to new borrowing generates a predictable hump-shaped path of future debt service. We...

The paper investigates three major debates on contemporary economies: (i) if the major components of real economic activity (RECs) stimulate financial development (FND) but not vice versa, (ii) if RECs and FND jointly suppress labor, and (iii) if these two dynamics have incurred any substantial...

Using text from 200 million pages of 13,000 US local newspapers and machine learning methods, we construct a 170-year-long measure of economic sentiment at the country and state levels, that expands existing measures in both the time series (by more than a century) and the cross-section. Our...