abstract the aim of this study was to selecting the suitable model for forecast land, production and price of sugar beet in iran. for this purpose, models applied to forecast are arima, single and double exponential smoothing, harmonic, artificial neural network and arch for period 1993-2008. results of durbin-watson tests, land, production and price of sugar beet series were found non stochast...

The standard approaches to estimating minimum variance hedge ratios (MVHRs) are mis-specified when futures prices are subject to price limits. This paper proposes a bivariate tobit-FIGARCH model with maturity effects to estimate dynamic MVHRs using single and multiple period approaches. Simulations and an application to a commodity futures hedge support the proposed approach and highlight the i...

the risk free rate of return plays a main role in financial economic theory and financial markets. due to prohibition of interest in islamic countries there is no specific financial instrument with risk free rate of return as a criterion for measuring the risk free rate of market. we apply the kalman filter to estimate this variable for financial markets in iran. the technique is based on a sta...

We build a new empirical model to estimate the global impact of an increase in volatility US monetary policy shocks. Specifically, we admit time-varying variances local structural shocks from stochastic specification. By allowing for rich dynamic interaction between endogenous variables and setting, find that interest rate uncertainty not only drives output inflation volatility, but also causes...

in this study, we assess the impact of oil price changes on the macroeconomic variables of some oil importers in oecd countries, including usa, italian, france and japan during the period 1960-2002. the results for different countries imply asymmetric impact of oil price changes on gdp growth rates; moreover, the results show that monetary shocks are an important and noticeable factor explainin...

A semiparametric extension of the GJR model (Glosten et al., 1993. Journal of Finance 48, 1779–1801) is proposed for the volatility of foreign exchange returns. Under reasonable assumptions, asymptotic normal distributions are established for the estimators of the model, corroborated by simulation results. When applied to the Deutsche Mark/US Dollar and the Deutsche Mark/British Pound daily ret...

Two alternative methodologies are compared for identifying common trends and cycles in a set of variables. One, following Harvey, uses an unobserved components structural time series model. The other, following Vahid and Engle, is based on a multivariate BeveridgeNelson decomposition. Both approaches are applied to a four sector model of output in the UK over the period 1970Q1-1993Q2, producing...

This paper examines the use of autoregressive distributed lag (ARDL) models for the analysis of long-run relations when the underlying variables are I(1). It shows that after appropriate augmentation of the order of the ARDL model, the OLS estimators of the short-run parameters are p T -consistent with the asymptotically singular covariance matrix, and the ARDL-based estimators of the long-run ...

This paper proposes new iterative reduced-rank regression procedures for seasonal cointegration analysis. The suggested methods are motivated by the idea that modelling jointly the cointegration restrictions at the different frequencies may induce some efficiency gain in finite samples. Monte Carlo simulations indicate that the new tests and estimators perform well with respect to already exist...

In this note we consider the treatment of structural breaks in VAR models used to test for unit roots and cointegration. We give practical guidelines for the inclusion and the specification of intervention dummies in those models. JEL Classification Code: C32, C52, E43.