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An extended regularized Kalman filter based on Genetic Algorithm : application to dynamic asset pricing models

Jiang, Minqi; Liu, Jiapeng; Zhang, Lu - In: The quarterly review of economics and finance : journal … 79 (2021), pp. 28-44

Persistent link: https://www.econbiz.de/10012655014

On the impact of deep learning-based time-series forecasts on multistage stochastic programming policies

Wang, Juyoung; Cevik, Mucahit; Bodur, Merve - In: INFOR : information systems and operational research 60 (2022) 2, pp. 133-164

Persistent link: https://www.econbiz.de/10013271181

Spatio-temporal hydro forecasting of multireservoir inflows for hydro-thermal scheduling

Lohmann, Timo; Hering, Amanda S.; Rebennack, Steffen - In: European journal of operational research : EJOR 255 (2016) 1, pp. 243-258

Persistent link: https://www.econbiz.de/10011530864

An empirical investigation of dynamic ordering policies

Larson, Chad R.; Turcic, Danko; Zhang, Fuqiang - In: Management science : journal of the Institute for … 61 (2015) 9, pp. 2118-2138

Persistent link: https://www.econbiz.de/10011372447

Forecasting dirty tanker freight rate index by using stochastic differential equations

Jafari, Hossein; Rahimi, Ghazaleh - In: International journal of financial engineering 5 (2018) 4, pp. 1-15

Persistent link: https://www.econbiz.de/10012028815

Large vector autoregressions with asymmetric priors

Carriero, Andrea; Clark, Todd E.; Marcellino, Massimiliano - 2015 - This draft: November 2015

We propose a new algorithm which allows easy estimation of Vector Autoregressions (VARs) featuring asymmetric priors and time varying volatilities, even when the cross sectional dimension of the system N is particularly large. The algorithm is based on a simple triangularisation which allows to...

Persistent link: https://www.econbiz.de/10011389735