This paper looks into the sovereign credit default swap (CDS) market from two perspectives. First, it analyses the relation between CDS and bond spreads. The results on a single-entity basis suggest that the CDS market leads the bond market in price discovery, especially during 2010, while both...

This paper investigates the relationship between futures prices and financial investments in derivatives of the main agricultural commodities. We first provide a broad picture of how these markets function and how they have evolved, showing that traders who deal mostly in commodity index...

We exploit highly disaggregated bank-firm data to investigate the dynamics of foreign vs. domestic credit supply in Italy around the period of the Lehman collapse, which brought a sudden and unexpected deterioration of economic conditions and a sharp increase in credit risk. Taking advantage of...

This paper evaluates the use of risk-neutral probability density functions implied in 3-month interest-rate futures options to assess market perceptions regarding future monetary policy moves options allow the information content implied in simpler derivatives to be extended by providing...

In recent years, banks have become increasingly aware of the credit risk borne in lending in the interbank market and they select their counterparties accordingly. They may also fear that if they come across a bad borrower, rescue plans will be skewed towards domestic creditors; moreover,...

Recent theoretical papers suggest that high uncertainty about firms� economic prospects can explain delays in the adjustment of their stock prices to economic news. Using analyst forecast revisions and earnings announcements as proxies of news, we find mixed evidence in support of this...

Using a clustering procedure, we classify Italian funds ex-post on the basis of the composition of their portfolios and find that the optimal number of clusters is equal to 4. The four groups which result from the statistical classification closely match the 4-level aggregation of the 20 ex-ante...

This paper proposes a policy framework for intercepting, monitoring and containing the unintended harmful effects of financial innovation. The current approach, adopted by several authorities, makes extensive use of the tools of transparency and disclosure, mainly for consumer protection. It has...

We study an endowment economy with complete markets and heterogeneous agents who do not have rational expectations, but form their beliefs using adaptive learning algorithms that may differ from one individual to another. We show that market completeness allows agents to smooth consumption...

The applied literature on adaptive learning has mostly focused on small, linear models, with homogenous expectations. In non-linear models heterogeneous expectations prevail and the process through which agents select (and change) a forecasting model becomes a necessary ingredient of the...