In this paper, the demand for real money M1, M2 and M3 is estimated for Austria. The modelling takes place within the framework of a small vector autoregression. To estimate the demand for money, two-equation error-correction models are constructed, which contain the short-run dynamics and the long-run economic equilibrium. It is found that a stable money demand exists for all monetary aggregat...

This paper studies the question of maximizing terminal wealth from expected utility in a multidimensional jump-diffusion model. The special feature of our approach is that the investor only observes the vector of stock prices, therefore leading to a partial information framework. Using non-linear filtering and change of measure techniques, we show that the optimization problem can be rewritten ...

We take a model selection approach to the question of whether a class of adaptive prediction models ("artificial neural networks") are useful for predicting future values of 9 macroeconomic variables. We use a variety of out-of-sample forecast-based model selection criteria including forecast error measures and forecast direction accuracy. Ex ante or real-time forecasting results based on rolli...

This paper introduces a new trade model type. It combines the gravity model, well-known in international economics, with network theory. With this approach, complicated trade networks can be algebraically solved in form of systems of linear (differential) equations. Business cycles and productivity shocks can be represented via complex numbers or the Laplace transformation. With the help of thi...

We propose Time-Space Threshold Vector Error Correction (TS-TVEC) model for short term traffic state prediction. The theory of cointegration with error correction mechanism is employed in the general design of the new model TS-TVEC. An inherent connection between mathematical form of error correction model and the microscopic traffic flow theory is revealed through the transformation of the Fun...

This paper analyses the evolution of the business cycle worldwide synchronization since 1960. For that, it purposes a correlation index that allows to measure the cross-country synchronization period per period rather than using time windows. This new methodlogy allows to control for outliers when synchronizion across countries increased/droped unexpectedly in single years, and so, it can check...

In the present study, individual groups of construction companies were first classified according to size, and then the processes of changes needed for them to become insolvent were examined utilizing KMV models. Another objective of the present study was to analyze the relationship between macroeconomic fluctuations and the changes needed for construction companies to become insolvent (based o...

Semiconductor experts are convinced that the rate of soft errors occurring in electronic devices will rise to levels that regularly affect everyday operation of devices. Correcting every single error implies a significant hardware and real-time overhead, especially for embedded devices. Hence, an error classification is needed to distinguish whether an error has to be corrected or not. In this ...

In area efficient low error compensation multiplier design is using fixed width RPR(Reduced Precision Redundancy). We propose a new method called fixed width RPR for DSP applications. This fixed width multiplier is placed in ANT architecture to meet high speed, low power consumption and area efficiency. The fixed RPR is designed with compensation circuit for minimizing the occurrence of error. ...

This paper considers vertical price relationships between wholesalers and retailers on five local maize markets in Benin. We show that if the common factor and the long-run disequilibrium error are not explicitly taken into account in testing the channel model, one can easily be wrong about how restrictions on the error-correction structure must be interpreted in terms of economic power in the ...