We investigate the gains obtained by using GRID, an innovative web-based technology for parallel computing, in a Risk Management application. We show, by estimating a parametric Value at Risk, how GRID computing offers an opportunity to enhance the solution of computationally demanding problems...

In this paper we use an affine asset pricing model to jointly value stocks and bonds. This enables us to derive endogenous correlations and to explain how economic fundamentals influence the correlation between stock and bond returns. The presented model is implemented for G7 post- war economies...

Building on the seminal work of Veronesi (2000), we investigate the relationship between the quality of information on the state of the economy and equity risk premium. In this, we use a setup where investors have Epstein-Zin preferences and the economy switches between booms and recessions at...

We analyze the current state of monetary integration in Europe, focusing on the United Kingdom’s position regarding the European Monetary Union (EMU). The interest rate decisions of the European Central Bank and the Bank of England are compared through different specifications of the Taylor...

We develop a model of asset pricing assuming that investor's behavior is habit forming. The model predicts that the effect of consumption growth shocks on the risk premium depends on the business cycle phase of the economy. This empirical implication is tested with a Markovswitching VAR model on...

This article examines the role of country-specific sources of output and interest rate or exchange rate volatility in driving Foreign Direct Investment (FDI) activities. Building on a dataset with bilateral FDI flows among 24 Organization for Economic Co-operation and Development (OECD)...

Building on Veronesi (2000), we investigate the relationship between the quality of information on the state of the economy and the equity risk premium. We analyze the driving forces of the premium in a regime-switching setup where agents have Epstein-Zin preferences, finding a remarkably rich...

For purposes of Value-at-Risk estimation, we consider several multivariate families of heavy-tailed distributions, which can be seen as multidimensional versions of Paretian stable and Student's t distributions allowing different marginals to have different tail thickness. After a discussion of...

We compare in a backtesting study the performance of univariate models for Value-at-Risk (VaR) and expected shortfall based on stable laws and on extreme value theory (EVT). Analyzing these different approaches, we test whether the sum–stability assumption or the max–stability assumption,...