In this paper, we solve two problems related to growth and survival probability maximization of an economy. We assume that the problems are subject to the stochastic net worth model introduced by Fleming and Stein (2004) and apply the techniques of stochastic optimal control theory in order to...

Impulse response and variance decomposition estimations are similar in traditional VAR (1) and BVAR-DSGE models but the later model can provide theoretical and structural reasons behind those estimations. In the context of growth competition and spill over effects of policies, it is important to...

We use a panel of European firms to investigate the relationship between intangible assets and productivity. We disentangle between tfp and technology adoption, while available studies so far have considered only a notion of productivity con ating the two effects. To this aim, we estimate...

We propose a new method for estimating the covariance matrix of a multivariate time series of nancial returns. The method is based on estimating sample covariances from overlapping windows of observations which are then appropriately weighted to obtain the nal covariance estimate. We extend the...

Understanding what drives international portfolio flows has important policy implications for countries wishing to exert some control on the size, direction and volatility of the flows. This paper empirically assesses the relative contribution of common (push) and country-specific (pull) factors...

We investigate the R&D portfolio of a monopolist investing in cost-reducing and quality enhancing R&D. Incentives along the two directions are inversely related to the size of market demand, and independent of each other. The stability analysis shows the existence of a unique stable steady state...

This paper discusses estimation of US inflation volatility using time varying parameter models, in particular whether it should be modelled as a stationary or random walk stochastic process. Specifying inflation volatility as an unbounded process, as implied by the random walk, conflicts with...

The time-varying parameter vector autoregressive (TVP-VAR) model has been used to successfully model interest rates and other variables. As many short interest rates are now near their zero lower bound (ZLB), a feature not included in the standard TVP-VAR specification, this model is no longer...

This article develops a new econometric methodology for performing stochastic model specification search (SMSS) in the vast model space of time-varying parameter VARs with stochastic volatility and correlated state transitions. This is motivated by the concern of over-fitting and the typically...

We investigate the relation between aggregate trading imbalances and interest rates in the Euro money market. We use data for OTC contracts as well as information from the major electronic trading platform in Europe to study the presence of cointegration between trading pressures and money...