We employ a multivariate BEKK GARCH model which allows news to affect conditional volatility in an asymmetric manner. The asymmetric model outperforms the standard symmetric model, implying that efficient financial decision makers should not treat good and bad news as homogenous. We estimate the conditional variance and covariance of the Japanese yen, Swiss franc and British pound vis-à-vis the...

the major challenge facing iranian economy is its overwhelming dependence on the oil exports. however, the world oil price has been subject to a lot of shocks, which have destabilized the iranian terms of trade. hence, this paper empirically examines the effect of terms of trade volatility on iran’s economic growth over 1967-2006. for this purpose, based on a garch model, a proxy for the terms ...

the aim of this research is to analyse of empirical relationship of fiscal policy and iranian trade account in the years 1338-1385(1959-2006). in and econometrics model the methods of engle and granger (1987), johansen (1988), ardl, pessaran and shin(1998), philips and hansen(1990), have been used to find out the effects of variables such as government expenditures(the component of public deman...

This paper investigates the transmission of price and volatility spillovers across the New York, London, Frankfurt and Paris stock markets under the framework of the multivariate EGARCH model. The model is extended to allow dynamic conditional correlations, with the correlations allowed to change with the introduction of the Euro. By using daily closing prices recorded at 16:00 London time (pse...

Recent time series methods are applied to the problem of forecasting New Zealand’s real GDP. Model selection is conducted within autoregressive (AR) and vector autoregressive (VAR) classes, allowing for evolution in the form of the models over time. The selections are performed using the Schwarz (1978) BIC and the Phillips-Ploberger (1996) PIC criteria. The forecasts generated by the data-deter...

This paper provides a unifying framework in which the coexistence of different form of common cyclical features can be tested and imposed to a cointegrated VAR model. This goal is reached by introducing a new notion of common cyclical features, namely the weak form of polynomial serial correlation common features, which encompasses most of the previous ones. Statistical inference is obtained by...

A continuous time econometric modelling framework for multivariate financial market event (or ‘transactions’) data is developed in which the model is specified via the vector conditional intensity. Generalised Hawkes models are introduced that incorporate inhibitory events and dependence between trading days. Novel omnibus specification tests based on a multivariate random time change theorem a...

Article history: Received 10 October 2009 Available online 26 May 2010 In this article we investigate the relation between population and real wages in the Italian economy during the period 1320–1870. The main result is that the positive check is strong and statistically significant but the other equilibrating mechanism in the Malthusian model – the preventive check – based on the positive rela...

We propose a new method to determine the cointegration rank in the error correction model of Engle and Granger (1987). To this end, we first estimate the cointegration vectors in terms of a residual-based principal component analysis. Then the cointegration rank, together with the lag order, is determined by a penalized goodness-of-fit measure. We have shown that the estimated cointegration vec...

Unrestricted reduced form vector autoregressive (VAR) models have become a dominant research strategy in empirical macroeconomics since Sims (1980) critique of traditional macroeconometric modeling. They are however subjected to the curse of dimensionality. In this paper we propose general-to-specific reductions of VAR models and consider computer-automated model selection algorithms embodied i...