Sökning: "market potential forecasting"
Visar resultat 1 - 5 av 33 uppsatser innehållade orden market potential forecasting.
1. Aktiemarknadsprognoser: En jämförande studie av LSTM- och SVR-modeller med olika dataset och epoker
Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : Predicting stock market trends is a complex task due to the inherent volatility and unpredictability of financial markets. Nevertheless, accurate forecasts are of critical importance to investors, financial analysts, and stakeholders, as they directly inform decision-making processes and risk management strategies associated with financial investments. LÄS MER
2. Forecasting Football Corner Odds: Statistical Modelling, Betting Strategies and Assessing Market Efficiency
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Statistical modelling could be included in a betting strategy where the value of a bet is assessed by comparing model predictions and market odds. This thesis presents several models based on statistical learning methods for predicting the total number of corners in a football match. LÄS MER
3. Development of an investment model for pumped storage hydropower
Magister-uppsats, Uppsala universitet/ElektricitetsläraSammanfattning : The energy market is evolving, with a prediction of heavily increased consumption and, consequently, increased production. In parallel, EU directives with targets prioritising fossil-free electricity production, reduction of greenhouse gas emissions and becoming climate neutral by 2050, poses a challenge for the current state of electricity production in the Nordics. LÄS MER
4. Usability of connected vehicle data for local winter road maintenance
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : NIRA is a company based in Linköping and operates within the automotive industry. NIRA's Tire Grip Indicator is one of their products used to create friction values during normal driving conditions. This data is, together with additional sensor information from the vehicle, such as environmental sensors, collected in NIRA's cloud environment RSI. LÄS MER
5. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. LÄS MER