This paper examines empirically the causal relationship among the degree of openness of the economy, financial development and economic growth by using a multivariate autoregressive VAR model in Greece for the examined period 1960:Ι – 2000:IV. The results of cointegration analysis suggest that there is one cointegrated vector among GDP, financial development and the degree of openness of the ec...

In this paper we investigate the merits of artiicial neural networks in forecasting foreign exchange rates. From previous research it is known that it is hard to beat the random walk model using structural exchange rate models. In this paper we show that by using a suitable multivariate speciication a structural model can be derived that beats the random walk. By introducing a new method for mu...

This paper examines the influence of latency on cloud computing pricing dynamics. Using Amazon EC2 east and west market spot instance pricing and latency intra-day data from April 9, 2010 to May 22, 2011, we find considerable time variation in spot instance prices and prices are often persistently greater in the west. Bivariate Vector Autoregressive model results show that within-market autoreg...

We implement several Bayesian and classical models to forecast employment for eight sectors of the US economy. In addition to standard vector-autoregressive and Bayesian vector autoregressive models, we also include the information content of 143 additional monthly series in some models. Several approaches exist for incorporating information from a large number of series. We consider two approa...

Knill demonstrated a fault-tolerant quantum computation scheme based on concatenated error-detecting codes and postselection with a simulated error threshold of 3% over the depolarizing channel. We show how to use Knill’s postselection scheme in a practical two-dimensional quantum architecture that we designed with the goal to optimize the error correction properties, while satisfying important...

according to amount of oil seeds import in iran are more than 80% of domestic needs, in this study, import comparative advantage in soybeans using rca and rsca index is calculated in 1961-2008 periods for iran and ten important importer countries. iran’s competition state is investigated. also long run relation between production and import comparative advantage index is estimated using johanse...

iran is one of the most concentrated areas of afghan migrants and refugees. most afghans dispersed throughout the country mixed with iranian households. the majority of afghan immigrants are typically unskilled and illegal workers. this study aims at investigating the nature of the causal relationship between afghan immigrants and two main labor market indicators, average wages and unemployment...