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We develop a model featuring both a macroeconomic and a financial stability objective that speaks to the interaction between monetary and macro-prudential policies.

In this paper, I study the correlation between stock and bond returns. We can define flight-to-quality from stocks to bonds as the decrease in the correlation between the two assets in falling stock markets periods (bear state), since the two assets returns move in the opposite direction.

Several studies have established the predictive power of the yield curve in terms of real economic activity. In this paper we use data for a variety of E.U. countries: both EMU (Germany, France, Italy) and non-EMU members (Sweden and the U.K.). The data used range from 1991:Q1 to 2009:Q1.

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

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.

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.

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).

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.