Based on the 2012 Version of the Romanian Macromodel, the first section of this paper discusses the evolution of the Romanian economy in 2014. The previous simulations were revised taking into account the changes in the internal and external socio-economic conjuncture or in the available...

This study investigates the behavior of US stock price–dividend relationships over the period 1871:01 to 2012:03 using a two-regime Threshold Autoregressive (TAR) model with an autoregressive unit root developed by Caner and Hansen (2001), which allows for simultaneously testing nonlinearity...

The paper describes the version (2012) of the Romanian economic macromodel2. The model has been constructed taking into account the important consequences induced by the integration of the country into the European Union and by the world crisis. Some supplementary requests of the government...

The option price forecasting is still a big challenging problem because the option pricing is determined by many factors. Accordingly, it is difficult to predict option price accurately. To counter this problem, this paper proposes a novel hybrid model to forecast the option price. The proposed...

The study aims to extend the GARCH type volatility models to their nonlinear TAR (Tong, 1990) and STAR-based (Terasvirta, 1994) counter parts where both the conditional mean and the conditional variance processes follow TAR and STAR nonlinearity. The paper further investigates the models under...

The paper attempts to study the influences of the quarterly changes in the international oil price upon certain macroeconomic indicators and upon the GDP, using the principal components analysis. It also analyzes the indirect impact of a change in oil prices – through all the other indicators...

The paper estimates a medium-term forecasting model used to generate short-term series of the quarterly GDP. The GDP used was computed using the expenditures decomposition method in accordance with the national accounts, and the data were generated by applying the principal components analysis...

The paper estimates a medium-term forecasting model used to generate short-term series of the quarterly GDP. The GDP used was computed using the production decomposition method in accordance with the national accounts, and the data were generated by applying the principal components analysis and...

Polynomial interpolation can be used to approximate functions and their derivatives. Some autoregressive models can be stated by using polynomial interpolation and function approximation.

The paper makes a critical assessment of the Principal Components-GARCH (PC-GARCH) model and argues why, when dealing with hundreds or thousands of variables, this model comes up as the most appropriate to be used. The suitability originates from the perspective of quality/cost ratio of...