In this paper we use principal components analysis to obtain vulnerability indicators able to predict financial turmoil. Probit modelling through principal components and also stochastic simulation of a Dynamic Factor model are used to produce the corresponding probability forecasts regarding...

In this paper we compared the performance of country specific and regional indicators of reserve adequacy in predicting, out of sample, the balance of payment crisis affecting the South East Asian region during the 1997-98 period. A Dynamic Factor method was used to retrieve reserve adequacy...

This paper examines whether a monetary policy tightening (i.e., an increase in the domestic interest rate) was successful in defending the exchange rate from speculative pressures during the Asian financial crisis. We estimate a bivariate VECM for four Asian countries, and improve upon existing...

We contribute to the debate on whether the US large federal budget deficits are sustainable in the long run. We model the US government deficit per capita as a threshold autoregressive process. We find evidence that the US budget deficit is sustainable in the long run and that economic...

Our paper offers evidence that the print media can affect stock prices by covering public information. After price-to-book value figures of Italian listed shares were first published on the major national financial newspaper, the prices of value stocks did, on average, show a positive reaction....

In this paper, we use Structural VAR analysis to disentangle credit demand and supply shocks and their eFFect on real economic activity in Italy during the 2008-2014 crisis period. The three endogenous variables considered are the loan interest rate, the loans growth rate and the employment to...

We predict bond betas conditioning on a number of macro-finance variables. We explore differences across long-term government bonds, investment grade corporate bonds, and high yield corporate bonds. We conduct out-of-sample forecasting using the new approach of combining predictor variables...