Sökning: "forecasting"
Visar resultat 31 - 35 av 1252 uppsatser innehållade ordet forecasting.
31. Volatility Modelling in the Swedish and US Fixed Income Market : A comparative study of GARCH, ARCH, E-GARCH and GJR-GARCH Models on Government Bonds
Kandidat-uppsats, Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakultetenSammanfattning : Volatility is an important variable in financial markets, risk management and making investment decisions. Different volatility models are beneficial tools to use when predicting future volatility. The purpose of this study is to compare the accuracy of various volatility models, including ARCH, GARCH and extensions of the GARCH framework. LÄS MER
32. Forecasting Swedish FCR-D Prices using Penalized Multivariate Time Series Techniques
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenSammanfattning : The Swedish energy market is becoming more and more sustainable, with an increasing volume and number of diversified energy sources being continuously added to the mix. To stabilize the grid frequency, auctions are held to offer energy providers incentives to produce or consume energy on short notice. LÄS MER
33. Understanding Sales Performance Using Natural Language Processing - An experimental study evaluating rule-based algorithms in a B2B setting
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Natural Language Processing (NLP) is a branch in data science that marries artificial intelligence with linguistics. Essentially, it tries to program computers to understand human language, both spoken and written. Over the past decade, researchers have applied novel algorithms to gain a better understanding of human sentiment. LÄS MER
34. Can Machine Learning improve inflation forecasting?
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : 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. LÄS MER
35. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. LÄS MER