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Salvador Torra
Salvador Torra
Profesor de Métodos Cuantitativos para la economía y la empresa
Verified email at ub.edu
Title
Cited by
Cited by
Year
Forecasting tourism demand to Catalonia: Neural networks vs. time series models
O Claveria, S Torra
Economic Modelling 36, 220-228, 2014
3892014
Tourism demand forecasting with neural network models: different ways of treating information
O Claveria, E Monte, S Torra
International Journal of Tourism Research 17 (5), 492-500, 2015
1382015
STAR and ANN Models: Forecasting Performance on the Spanish ‘Ibex35’ Stock Index
J Pérez-Rodríguez, S Torra, J Andrada
Journal of Empirical Finance 12 (3), 490-509, 2005
1322005
A new forecasting approach for the hospitality industry
O Claveria, E Monte, S Torra
International Journal of Contemporary Hospitality Management 27 (7), 1520-1538, 2015
1132015
Combination forecasts of tourism demand with machine learning models
O Claveria, E Monte, S Torra
Applied Economics Letters 23 (6), 428-431, 2016
612016
A new approach for the quantification of qualitative measures of economic expectations
O Claveria, E Monte, S Torra
Quality & Quantity 51, 2685-2706, 2017
452017
Common trends in international tourism demand: Are they useful to improve tourism predictions?
O Claveria, E Monte, S Torra
Tourism Management Perspectives 16, 116-122, 2015
452015
Data pre-processing for neural network-based forecasting: does it really matter?
O Claveria, E Monte, S Torra
Technological and Economic Development of Economy 23 (5), 709-725, 2017
402017
Economic uncertainty: a geometric indicator of discrepancy among experts’ expectations
O Claveria, E Monte, S Torra
Social Indicators Research 143 (1), 95-114, 2019
362019
Evolutionary computation for macroeconomic forecasting
O Claveria, E Monte, S Torra
Computational Economics 53, 833-849, 2019
352019
Unemployment expectations: A socio-demographic analysis of the effect of news
P Sorić, I Lolić, O Claveria, E Monte, S Torra
Labour Economics 60, 64-74, 2019
322019
Modelling tourism demand to Spain with machine learning techniques. The impact of forecast horizon on model selection
O Claveria, E Monte, S Torra
arXiv preprint arXiv:1805.00878, 2018
322018
Quantification of survey expectations by means of symbolic regression via genetic programming to estimate economic growth in Central and Eastern European economies
O Claveria, E Monte, S Torra
Eastern European Economics 54 (2), 171-189, 2016
302016
Economic forecasting with evolved confidence indicators
O Claveria, E Monte, S Torra
Economic Modelling 93, 576-585, 2020
282020
A self-organizing map analysis of survey-based agents׳ expectations before impending shocks for model selection: The case of the 2008 financial crisis
O Claveria, E Monte, S Torra
International Economics 146, 40-58, 2016
262016
Using survey data to forecast real activity with evolutionary algorithms. A cross-country analysis
O Claveria, E Monte, S Torra
Journal of Applied Economics 20 (2), 329-349, 2017
242017
Modelling cross-dependencies between Spain’s regional tourism markets with an extension of the Gaussian process regression model
O Claveria, E Monte, S Torra
SERIEs 7, 341-357, 2016
242016
Are Spanish IBEX35 Stock Future Index Returns Forecasted with Nonlinear Models?
J Pérez-Rodríguez, S Torra, J Andrada
Applied Financial Economics 15 (14), 963-975, 2005
242005
Tourism demand forecasting with different neural networks models
O Claveria, E Monte, S Torra
AQR Working Papers 2013/13. Regional Quantitative Analysis Research Group …, 2013
212013
Multiple-input multiple-output vs. single-input single-output neural network forecasting
O Claveria, E Monte, S Torra
Research Institute of Applied Economics, 2015-02, 2015
192015
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