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A machine learning approach to univariate time series forecasting of quarterly earnings

Fischer, Jan Alexander; Pohl, Philipp; Ratz, Dietmar - In: Review of quantitative finance and accounting 55 (2020) 4, pp. 1163-1179

Persistent link: https://www.econbiz.de/10012304132

Machine learning for regularized survey forecast combination : partially-egalitarian LASSO and its derivatives

Diebold, Francis X.; Shin, Minchul - In: International journal of forecasting 35 (2019) 4, pp. 1679-1691

Persistent link: https://www.econbiz.de/10012305515

Combining wavelet decomposition with machine learning to forecast gold returns

Risse, Marian - In: International journal of forecasting 35 (2019) 2, pp. 601-615

Persistent link: https://www.econbiz.de/10012300704

Machine learning for regularized survey forecast combination : partially-egalitarian lasso and its derivatives

Diebold, Francis X.; Shin, Minchul - 2018

Persistent link: https://www.econbiz.de/10012000602

Machine learning for regularized survey forecast combination : partially-egalitarian lasso and its derivatives

Diebold, Francis X.; Shin, Minchul - 2018

Persistent link: https://www.econbiz.de/10011913095

Analysis of book sales prediction at Amazon marketplace in India : a machine learning approach

Sharma, Satyendra Kumar; Chakraborti, Swapnajit; Jha, Tanaya - In: Information systems and e-business management : ISeB 17 (2019) 2/4, pp. 261-284

Persistent link: https://www.econbiz.de/10012139413

A comparative assessment of machine learning methods for predicting housing prices using Bayesian optimization

Lahmiri, Salim; Bekiros, Stelios; Avdoulas, Christos - In: Decision analytics journal 6 (2023), pp. 1-8

statistical models to house price prediction problems. In that order, we use boosting ensemble regression trees, support vector … determine their respective optimal kernels and parameter values. Four performance metrics are used to evaluate the prediction … price prediction in Taiwan. …

Persistent link: https://www.econbiz.de/10014505865

Prediction of corporate credit ratings with machine learning : simple interpretative models

Galil, Koresh; Hauptman, Ami; Rosenboim, Rosit Levy - In: Finance research letters 58 (2023) 4, pp. 1-8

Persistent link: https://www.econbiz.de/10014633496

Machine learning advances for time series forecasting

Masini, Ricardo P.; Medeiros, Marcelo C.; Mendes, Eduardo F. - 2020

In this paper we survey the most recent advances in supervised machine learning and highdimensional models for time series forecasting. We consider both linear and nonlinear alternatives. Among the linear methods we pay special attention to penalized regressions and ensemble of models. The...

Persistent link: https://www.econbiz.de/10012390030

Interpretable machine learning using partial linear models

Flachaire, Emmanuel; Hué, Sullivan; Laurent, Sébastien; … - In: Oxford bulletin of economics and statistics 86 (2024) 3, pp. 519-540

Persistent link: https://www.econbiz.de/10014543478