The paper discusses the possible economic consequences of the financial crisis from a (Post)Keynesian point of view. It examines the forthcoming depressive mechanisms, including the orthodox reactions of monetary and fiscal authorities, in the vein of those inferred in Europe by the mandate of...

In this paper, we investigate the impact of monetary policy signals stemming from the ECB Council and the FOMC on the intradaily Euro-dollar volatility, using high-frequency data (five minutes frequency). For that, we estimate an AR(1)-GARCH(1,1) model, which integrates a polynomials structure...

Using methods from machine learning - adaptive sequential ridge regression with discount factors - that prevent overfitting in-sample for better and more stable forecasting performance out-of-sample we show that fundamentals from the PPP, UIRP and monetary models consistently improve the...

With the emergence of the chaos theory and the method of surrogates data, nonlinear approaches employed in analysing time series typically suffer from high computational complexity and lack of straightforward explanation. Therefore, the need for methods capable of characterizing time series in...

Most of the international asset pricing models are developed in the situation where purchasing power parity (PPP) is not respected. Investors of different countries do not agree on expected security returns. However, in this case, an equilibrium on the international assets market may exist but...

This paper relaxes a fundamental hypothesis commonly accepted in the expectation formation literature: expectations are, unchangingly, either rational or generated by one of the three simple extrapolative, regressive or adaptive processes. Using expectations survey data provided by Consensus...

This paper examines the relationships between the CAC40 index, the Dow Jones index and the Euro/USD exchange rate using daily data over the period 1999-2008. We find that these variables are I(1) nonstationary series, but they are fractionally cointegrated: equilibrium errors exhibit slow mean...

This paper investigates the relative importance of different types of news in driving significant stock price changes of firms in the defense industry. We implement a systematic event study with a sample of the 58 largest publicly listed companies in the defense industry, over the time period...

This study reconsiders the role of jumps for volatility forecasting by showing that jumps have a positive and mostly significant impact on future volatility. This result becomes apparent once volatility is separated into its continuous and discontinuous component using estimators which are not...