Essays about: "Superior"

Showing result 1 - 5 of 1178 essays containing the word Superior.

1. 1. Does industry survey data improve GDP forecasting?

   University essay from Göteborgs universitet/Företagsekonomiska institutionen

   Author : Oscar Andersson; Ludvig Fornstedt; [2024-03-06]
   Keywords : Bayesian; BVAR; Forecasting; GDP; survey data;

   Abstract : 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

3. 2. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience

   University essay from KTH/Hälsoinformatik och logistik

   Author : Habib Jabeli; [2024]
   Keywords : Machine Learning; Flight Comparison; Flygresor.se; Neural Networks; Flight Ranking; Random Forest; XGBoost;

   Abstract : 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

4. 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 ekonomi

   Author : Oleksii Chepil; [2024]
   Keywords : value investing; quality investing;

   Abstract : 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

5. 4. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks

   University essay from Uppsala universitet/Statistiska institutionen

   Author : Klara Enerud; [2024]
   Keywords : time series forecasting; ARIMA; recurrent neural networks; LSTM; electricity forecasting; EED forecasting;

   Abstract : 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

6. 5. Deep reinforcement learning for automated building climate control

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Erik Snällfot; Martin Hörnberg; [2024]
   Keywords : Machine Learning; Reinforcement Learning; Deep Learning; Deep Reinforcement Learning; Building Control; Control System;

   Abstract : 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