Essays about: "rolling forecasts"
Showing result 1 - 5 of 21 essays containing the words rolling forecasts.
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1. Can Machine Learning improve inflation forecasting?
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This paper aims to compare and evaluate the performance of inflation forecasting performance for benchmark time series models and machine learning models. The process is performed for both a developed economy, the US, and an emerging economy, Mexico. READ MORE
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2. Healthcare Production Control Maturity Model
University essay from Lunds universitet/Teknisk logistikAbstract : Sweden has been struggling with bad access to healthcare. The National Healthcare Guarantee is not fulfilled, and Sweden has low productivity numbers. One suggested solution to deal with this issue is increased healthcare production control. READ MORE
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3. Road De-icing under a Rolling Horizon
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Road de-icing is part of the winter road maintenance sector, an area of interest to the Uppsala-based company BM System. In order to solve the road de-icing problem, BM System developed an optimisation engine which makes use of a local-search algorithm. READ MORE
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4. Inventory control of intermediatestorage in the steel industry:analysis of forecasting accuracyand erroneous products : Case study on SSAB, Oxelösund
University essay from Karlstads universitetAbstract : The case study has been carried out at SSAB Oxelösund, where a major project is on the way to improve the system support for substance planning, to ensure that the right products are actually produced. Purpose: The purpose of this thesis is to analyze inventory control in intermediate storage within steel industry with data-driven methods and simulation. READ MORE
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5. Value at Risk estimation : A comparison between different models
University essay from Uppsala universitet/Statistiska institutionenAbstract : In this thesis the performance of the quantile based CAV iaR models is evaluated and compared with GARCH models for predicting the Value at Risk. This is done by one step ahead out of sample prediction. The one step ahead out of sample prediction is done for the 500 observations at the end of the sample. READ MORE