In dynamic conditional score models, the innovation term of the dynamic specification is the score of the conditional distribution. These models are investigated for non-negative variables, using distributions from the generalized beta and generalized gamma families. The log-normal distribution...

An unobserved components model in which the signal is buried in noise that is non-Gaussian may throw up observations that, when judged by the Gaussian yardstick, are outliers. We describe an observation driven model, based on a conditional Student t-distribution, that is tractable and retains...

This paper investigates the causal relationship between FDI, GDP and the Euro/Hungarian Forint exchange rate in Hungary during the 1995-2012 period. Although the question has great significance from an economic policy standpoint, there has been little to no empirical analysis undertaken so far...

Principalul scop al acestui studiu este să prezinte o tehnică de modelare care este regresia ortogonală sau modelul EIV cu erori-în-variabile şi posibilele aplicaţii în economie. Metodele de calcul şi principalele proprietăţi statistice ale estimatorilor sunt discutate. In partea...

We analyze imbalances in external accounts that have historically a¤ected most developed countries. The purpose of this study is to shed some light on the sus- tainability of the current account for a group of OECD countires by merging the popular Husted (1992) testing procedure with recent...

This article shows the evolution of the main macroeconomic indicators of results, Gross Domestic Product correlated with variation of final consumption in our country in the years 1990 to 2011. The values of the two macroeconomic indicators have been deflated using the consumer price index with...

We compare two EGARCH models which belong to a new class of models in which the dynamics are driven by the score of the conditional distribution of the observations. Models of this kind are called dynamic conditional score (DCS) models and their form facilitates the development of a...

A time series model in which the signal is buried in noise that is non-Gaussian may throw up observations that, when judged by the Gaussian yardstick, are outliers. We describe an observation driven model, based on an exponential generalized beta distribution of the second kind (EGB2), in which...

We derive new theoretical results on the properties of the adaptive least absolute shrinkage and selection operator (adaptive lasso) for time series regression models. In particular we investigate the question of how to conduct finite sample inference on the parameters given an adaptive lasso...

Taking advantage of a trades-and-quotes database, the main stylized facts and dynamic properties of a time series related to spot precious metals, that is, gold, silver, palladium, and platinum, are documented. The behavior of spot prices, returns, volume, and selected liquidity measures is...