We examine the dynamic effects of credit shocks using a large data set of U.S. economic and financial indicators in a structural factor model. The identified credit shocks, interpreted as unexpected deteriorations of credit market conditions, immediately increase credit spreads, decrease rates...

This paper uses the multivariate unobserved components model with phase shifts to analyse the interaction of interest rates, output, asset prices and credit in the US. We find close linkages amongst cyclical fluctuations in the variables.

In everyday macroeconomic analysis, businessmen and policymakers monitor many variables in order to assess the current situation of a country’s business cycle. However, making this assessment is extremely difficult, especially on the verge of recessions: does a drop in one or more of these...

This paper investigates the existence of spillovers from stock prices onto consumption and the interest rate for South Africa using a time-varying vector autoregressive (TVP-VAR) model with stochastic volatility. In this regard, we estimate a three-variable TVP-VAR model comprising of real...

This paper asks how well a general equilibrium agency cost model describes the dynamic relationship between credit variables and the business cycle. A Bayesian VAR is used to obtain probability intervals for empirical correlations. The agency cost model is found to predict the leading,...

This paper estimates the contribution of financial shocks to fluctuations in the real economy by augmenting the standard macroeconomic vector autoregression (VAR) with five financial variables (real stock prices, real house prices, term spread, loans-to-GDP ratio and loans-todeposits ratio)....

In this paper we present an overview of theoretical and empirical contributions exploring the inter-linkages between financial factors and real economic activity. We first revisit the main theoretical approaches that allow financial frictions to be embedded into general equilibrium models, and...

We examine the dynamic effects of credit shocks using a large data set of U.S. economic and financial indicators in a structural factor model. The identified credit shocks, interpreted as unexpected deteriorations of credit market conditions, immediately increase credit spreads, decrease rates...

We investigate the long-run stock-bond correlation using a novel model that combines the dynamic conditional correlation model with the mixed-data sampling approach. The long-run correlation is affected by both macro-finance variables (historical and forecasts) and the lagged realized...

The negative consequences of financial instability for the world economy during the recent financial crisis have highlighted the need for a better understanding of financial conditions. We use a financial conditions index (FCI) for South Africa previously constructed from 16 financial variables...