Essays about: "Superior"
Showing result 1 - 5 of 1178 essays containing the word Superior.
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1. Does industry survey data improve GDP forecasting?
University essay from Göteborgs universitet/Företagsekonomiska institutionenAbstract : This study assesses the integration of industry survey data into Bayesian Vector Auto Regressive (BVAR) models for GDP forecasting in Sweden. Analyzing a combination of macro economic indicators, CPI and unemployment rates, with survey data from NIER, it explores the effects of different variable combinations on the forecasting ability of different models. READ MORE
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2. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience
University essay from KTH/Hälsoinformatik och logistikAbstract : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. READ MORE
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3. Combining Value Investing with Quality Investing: Empirical Evidence from the European and Nordic Stock Markets
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : The aim of this thesis is to explore whether stock selection based on five value metrics and six quality metrics can generate superior returns compared to the overall market. The selected markets are the Nordic one (Nasdaq OMX Nordic 120 being the benchmark) and the European one (STOXX Europe 600 being the benchmark), while the selected time period is 2001-2023 for Europe and 2010-2023 for the Nordics. READ MORE
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4. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks
University essay from Uppsala universitet/Statistiska institutionenAbstract : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). READ MORE
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5. Deep reinforcement learning for automated building climate control
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The building sector is the single largest contributor to greenhouse gas emissions, making it a natural focal point for reducing energy consumption. More efficient use of energy is also becoming increasingly important for property managers as global energy prices are skyrocketing. READ MORE