Decreasing inflation uncertainty, as the major source of welfare costs, requires finding the driving factors of this variable. Counting inflation as one of the driving factors of inflation uncertainty has created some concern due to the ambiguity over the causality between inflation and...

El trabajo analiza el comportamiento del Ibex35, durante el período que abarca desde enero de 1999 a diciem¬bre de 2011, con el objetivo de comprobar si sigue un proceso diferente al paseo aleatorio, de tal forma que su rendimiento no se caracteriza por ser ruido blanco y resulta, en contra de...

In order to shed new light on the influence of volume and economic fundamentals on the long-run volatility of the Chinese stock market we follow the methodology introduced by Engle et al. (2009) and Engle and Rangel (2008) to account for the effects of macro fundamentals, and augment it with...

In any sector of activity, the uncertainty of price evolution poses challenges to producers, consumers, traders and investors, from private to national level. Moreover, the strategic importance of agricultural sector makes the issue of price volatility in this field an even more important matter...

An increasing amount of timberlands have been securitized and made available to investors in the form of Master Limited Partnerships (MLPs) or Real Estate Investment Trusts (REITs). In this study, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and extreme value models were...

Although non-stationarity in the level of a time series is always tested (and there is a variety of tests for this purpose), non-stationarity in the variance is sometimes neglected in applied research. In this work, the consequences of neglecting variance non-stationarity in economic time...

This paper attempts to determine the relationship between conditional stock market volatility and macroeconomic volatility using monthly data for Turkey from 1986 to 2003. The macroeconomic variables used include industrial production, the money supply M1, inflation, an exchange rate variable,...

In this article, we investigate conditional mean and variance forecasts using a dynamic model following a k-factor GIGARCH process. We are particularly interested in calculating the conditional variance of the prediction error. We apply this method to electricity prices and test spot prices...

O presente trabalho avaliou as características das séries de retornos, normalmente encontradas em séries financeiras, para dados do mercado de arroz em casca ao produtor do Rio Grande do Sul. Um modelo da classe GARCH (1,1) tipo VaR foi utilizado para obter previsões da variância...