Essays about: "Prediction Market"
Showing result 21 - 25 of 306 essays containing the words Prediction Market.
-
21. A Mixed Time-Series & Machine Learning Approach for Price Forecasting in the Swedish Ancillary Market
University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenAbstract : This study aims to forecast the Swedish FCR-D Down A2 market prices through a hybrid model combining a volatility model and a machine learning approach, and compares its performance with a standalone machine learning model. We further examine the impact of different lag orders (1-Hr vs. 24-Hr) on volatility estimates and forecast performance. READ MORE
-
22. Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy
University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenAbstract : This paper investigates the best methods for modeling hourly profiles in the German energy market for the period between 2018 and 2022. Modeling emphasized variable renewable energy (VRE) and included information on the level of energy production, oil price, COVID lockdowns, and historic hourly energy spot prices. READ MORE
-
23. Segmentation and Valuation in Stockholm Housing Market : Spatial Continuous and Discontinuous Submarkets Evaluating by Hedonic Price Model and XGBoost Model
University essay from KTH/Fastighetsekonomi och finansAbstract : The housing market segmentation could provide a reference for more targeted policymaking and investment strategies. Although there have been many studies, there are no consistent submarkets delineating methods because of a lack of theoretical support and subjective evaluation. In this paper, two market segmentation methods are introduced. READ MORE
-
24. Risk Assessment of Digital Assets – Insurance Applications in Cryptocurrencies and NFTs
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The aim of the project is to develop a framework for an insurance policy for digital assets. The project comprised several stages, starting with the identification of risks associated with these assets. Policyholders were then categorized into two groups based on a predefined rating factor. READ MORE
-
25. Prediction of nickel product prices with LSTM
University essay from Uppsala universitet/Analys och partiella differentialekvationerAbstract : Prediction of future stock markets has long been, and will continue to be a relevant topic. However, predicting markets is one of the most challenging areas to work with due to the unpredictability of the market. The extent to which markets can be predicted is a debated subject that has not yet been answered. READ MORE