The fluctuation of wind speed within a specific time period affects a lot the energy conversion rate of wind turbine. In this paper, the concept of fractal dimension in chaos theory is applied to investigate wind speed characterizations; numerical algorithms for the calculation of the fractal...

Option prices provide valuable information on market expectations. This paper attempts to extract market expectations, as conveyed by an implied risk-neutral probability distribution, from option prices for the dollar-euro exchange rate. Returns' volatilities are inferred from observed and...

We measure bank vulnerability in emerging markets using the distance-to-default, a risk-neutral indicator based on Merton's (1974) structural model of credit risk. The indicator is estimated using equity prices and balance-sheet data for 38 banks in 14 emerging market countries. Results show it...

This paper examines the factors affecting the persistence of fiscal consolidation in 25 emerging market countries during 1980-2001. It proposes a new approach for defining spells of fiscal consolidation. The results indicate that the probability of ending a fiscal adjustment is affected by the...

This paper studies a principal-agent model of the relationship between an incumbent officeholder and the electorate, where the officeholder is initially uninformed about her ability. If officeholder effort and ability interact in the "production function" that determines performance in office,...

This paper provides a selective overview of nonlinear exchange rate models recently proposed in the literature and assesses their contribution to understanding exchange rate behavior. Two key questions are examined. The first question is whether nonlinear autoregressive models of real exchange...

This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregressive models (BVARs). After describing the Bayesian principle of estimation, we first present the methodology originally developed by Litterman (1986) and Doan et al. (1984) and review alternative...

We propose using a Bayesian time-varying coefficient model estimated with Markov chain-Monte Carlo methods to measure contagion empirically. The proposed measure works in the joint presence of heteroskedasticity and omitted variables and does not require knowledge of the timing of the crisis. It...

In this paper, the genetic algorithm (GA) is originally applied to compute the Weibull parameters for wind characterization analysis, in which an objective function required in GA for searching optimization solution has been first defined as well. Wind data analyzed are observed at a wind farm...