the main objective of this paper is to study the relationship between the energy consumption (energy use intensity), economic growth, and co2 emission in iran. to that end, we use time series data of iran during 1967–2004. in order to examine the long-run relationship among these variables, the johanson-juselius cointegration method is used along with vecm. the main finding of this study shows ...

abstract comparison of food prices in different periods, indicates fluctuations and continually upward trend. any change in agricultural sector variables, as main food supplier, will affect food price. productivity shocks and production gap are examples of such variables. in this paper ,hodrick prescott and kalman filters are used as generators of productivity shocks and production gap series. ...

This paper provides a comprehensive analysis of the interest rate pass-through euro area monetary policy to retail rates outside area, contributing literature on consequences unofficial financial euroisation and transmission channels spillovers. The results suggest that in long run, more than one third all euroised countries central, eastern south-eastern Europe (CESEE) are linked shadow rate. ...

Most econometric methods for testing the proposition of long-run monetary neutrality rely on the assumption that money and real output do not cointegrate. This paper argues that these results can be attributed in part to the low power of univariate tests, and that a violation of the noncointegration assumption is likely to result in a nonrejection of the neutrality proposition. To alleviate thi...

In this paper, we consider the role of “leads” of the first difference of integrated variables in the dynamic OLS estimation of cointegrating regression models. Specifically, we investigate Stock and Watson’s (1993) claim that the role of leads is related to the concept of Granger causality by a Monte Carlo simulation. From the simulation results, we find that the dynamic OLS estimator without ...

We measure asset price jumps by the hedging error they induce on a delta-hedged position of European options. Based on high frequency data, we propose a nonparametric estimator for this measure and a test for its positivity. We further construct a Kolmogorov-type test for the presence of jump hedging errors for a possibly infinite-dimensional family of options based on the worst-case contract i...

We study how total factor productivity (TFP), energy prices, and the Great Moderation are linked. First we estimate a joint stochastic process for the energy price and TFP and establish that until the second quarter of 1982, energy prices negatively affected productivity. This spillover has since disappeared. Second, we show that within the framework of a dynamic stochastic general equilibrium ...

We generalise the Black-Litterman (BL) portfolio management framework to incorporate time-variation in the conditional distribution of returns in the asset allocation process. We evaluate the performance of the dynamic BL model using both standard performance ratios as well as other measures that are designed to capture tail risk in the presence of non-normally distributed asset returns. We fin...

This paper focuses on the performance of various GARCH models in terms of their ability of delivering volatility forecasts for stock return data. Volatility forecasts obtained from a variety of mean and variance specifications in GARCH models are compared to a proxy of actual volatility calculated using daily data. In-sample tests suggest that a regression of volatility estimates on actual vola...

This paper assesses the finite sample refinements of the block bootstrap and the Non-Parametric Bootstrap for conditional moment models. The study recononsiders inference in the generalized method of moments estimation of the consumption asset pricing model of Singleton (1986). These dependent bootstrap resampling schemes are proposed as an alternative to the asymptotic approximation in small s...