Showing 1 - 10 of 7,953
Prediction is very important in business planning. The ability to accurately predict the future is fundamental to many decision activities in sales, marketing, production, inventory control, personnel, and many other functional areas of business. Time series modeling approach is one of the major...
Persistent link: https://www.econbiz.de/10010839011
Throughout the history man has considered gold as a precious metal and its forcast has always been important. Traditional methods of forcast, e.g.Regresion, ARIMA, Exponential Smoothing, Moving Average, and methods of this kind have been applied. Only recently Artificial Intelligence, Neural...
Persistent link: https://www.econbiz.de/10005626880
In this paper we done a comparison between a Neural Network model and a Support Vector Machine model adapted to predict the exchange rate EUR-LEU. We emphasize the strengths and weakness of these two Artificial Intelligence paradigms and we compare the results of prediction obtained with those...
Persistent link: https://www.econbiz.de/10010675560
This paper aims to explore the forecasting accuracy of RON/USD exchange rate structural models with monetary fundamentals. I used robust regression approach for constructing robust neural models less sensitive to contamination with outliers and I studied its predictability on 1 to 6-month...
Persistent link: https://www.econbiz.de/10011265554
forecast the exchange rate of euro versus the Romanian currency using a large set of financial data. The possible influence of …
Persistent link: https://www.econbiz.de/10005272628
The paper advances an original artificial intelligence-based mechanism for specific economic predictions. The time series under discussion are non-stationary; therefore the distribution of the time series changes over time. The algorithm establishes how a viable structure of an artificial neural...
Persistent link: https://www.econbiz.de/10005272655
This study constructs a flexible range-based volatility model by considering extreme-value information to explore the volatility and dependence structures between the oil price and the US dollar exchange rate. An asset-allocation strategy is implemented to evaluate the economic value and confirm...
Persistent link: https://www.econbiz.de/10011048522
We derive a new family of probability densities that have the property of closed-form integrability. This flexible family finds a variety of applications, of which we illustrate density forecasting from models of the AR-ARCH class for U.S. inflation. We find that the hypernormal distribution for...
Persistent link: https://www.econbiz.de/10004968837
The question of energy supply continuity is essential from the perspective of the functioning of society and the economy today. The study describes modern methods of forecasting emergency situations using Artificial Intelligence (AI) tools, especially neural networks. It examines the structure...
Persistent link: https://www.econbiz.de/10011166184
Border region transportation forecast analysis is fraught with difficulty. In the case of El Paso, Texas and Ciudad Juarez, Chihuahua, Mexico, dual national business cycles and currency market fluctuations further complicate modeling efforts. Incomplete data samples and asymmetric data reporting...
Persistent link: https://www.econbiz.de/10011114405