E44 Financial Markets and the Macroeconomy

April 18, 2011

I estimate the dynamic effects of respectively traditional interest rate innovations and unconventional monetary policy actions on the Euro area economy. The results show that the Eurosystem can stimulate the economy beyond the policy rate by increasing the size of its balance sheet. The ultimate consequences on output and consumer prices are however more sluggish compared to interest rate innovations. Furthermore, the transmission mechanism via financial institutions - very likely the risk-taking channel - turns out to be different.

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January 6, 2011

return on a well-diversified portfolio of corporate bonds is close to zero. In contrast, the empirical finance literature documents large and time-varying risk premia in the corporate bond market (the "credit spread puzzle"). This paper introduces a parsimonious real business cycle model where firms issue defaultable debt and equity to finance investment. The mix between debt and equity is determined by a trade-off between tax savings and bankruptcy costs. By their very nature, corporate bonds, while safe in normal times, are highly exposed to the risk of economic depression. This motivates introducing a small, time-varying risk of large economic disaster. This simple feature generates large, volatile and countercyclical credit spreads as well as novel business cycle implications. An increase in disaster risk makes default more systematic, leading to higher risk premia, and higher expected discounted bankruptcy costs, hence worsening financial frictions. This leads to a reduction in investment, output, and leverage. Financial frictions amplify significantly the effects of disaster risk: the response of investment and output is about three times larger than in the frictionless model.

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August 1, 2010

Uncertainty about the riskiness of a new financial environment was an important factor behind the U.S. credit crisis. We show that a boom-bust cycle in debt, asset prices and consumption characterizes the equilibrium dynamics of a model with a collateral constraint in which agents learn "by observation" the true riskiness of the new environment. Early realizations of states with high ability to leverage assets into debt turn agents overly optimistic about the probability of persistence of a high-leverage regime. Conversely, the first realization of the low-leverage state turns agents unduly pessimistic about future credit prospects. These effects interact with the Fisherian deflation mechanism, resulting in changes in debt, leverage, and asset prices larger than predicted under either rational expectations without learning or with learning but without Fisherian deflation. The model can account for 69 percent of the rise in net household debt and 53 percent of the rise in residential land prices between 1997 and 2006, and it predicts a sharp collapse in 2007.

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November 1, 2009

The paper shows that US GDP velocity of M1 money has exhibited long cycles around a 1.25% per year upward trend, during the 1919-2004 period. It explains the velocity cycles through shocks constructed from a DSGE model and annual time series data (Ingram et al., 1994). Model velocity is stable along the balanced growth path, which features endogenous growth and decentralized banking that produces exchange credit. Positive shocks to credit productivity and money supply increase velocity, as money demand falls, while a positive goods productivity shock raises temporary output and velocity. The paper explains such velocity volatility at both business cycle and long run frequencies. With filtered velocity turning negative, starting during the 1930s and the 1987 crashes, and again around 2003, results suggest that the money and credit shocks appear to be more important for velocity during less stable times and the goods productivity shock more important during stable times.

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January 1, 2009

In many research studies it is argued that it is possible to extract useful information about future economic growth from the performance of financial markets. However, this study goes further and shows that it is not only possible to use expectations derived from financial markets to forecast future economic growth, but that data about the financial system can be used for this purpose as well. The research is conducted for the Polish emerging economy on the basis of monthly data. The results suggest that, based purely on the data from the financial system, it is possible to construct reasonable measures that can, even for an emerging economy, effectively forecast future real economic activity. The outcomes are proved by two different econometric methods, namely, by a time series analysis and by a probit model. All presented models are tested in-sample and out-of-sample.

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