Essays about: "Financial Forecast."
Showing result 1 - 5 of 142 essays containing the words Financial Forecast..
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1. Staff Shortage on SJ Trains
University essay from KTH/Matematisk statistikAbstract : This thesis is a case study in collaboration with SJ AB, a government owned railway companyin Sweden. The employees aboard the trains are an essential part of operating thetrains efficiently. Therefore, it is vital to forecast absences well in order to avoid havingto cancel train trips or having employees work over time. READ MORE
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2. On modelling OMXS30 stocks - comparison between ARMA models and neural networks
University essay from Uppsala universitet/Matematiska institutionenAbstract : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. READ MORE
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3. Battery storage implementation in Sweden and sizing software development
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Due to the rampant growth of the penetration of renewables into the electrical grids across the world, more challenges appear in the way to assure the optimal operation of the energy system. More particularly, in the case of Sweden, the nuclear power decommissioning tendency and the 100% renewable energy target by 2040, set two strong additional motivations for the rise of issues regarding variability, uncertainty, stability, balancing and quality in the grid. READ MORE
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4. 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
University essay from Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakultetenAbstract : 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. READ MORE
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5. Can Machine Be a Good Stock Picker?: Bridging the Gap between Fundamental Data and Machine Learning
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : We investigate the efficacy of historical accounting data and consensus forecasts for relative valuation of stocks, employing tree-based machine learning methods. We run an XGBoost model for monthly cross-sections of financial and pricing data of US equities from 1984 to 2021. READ MORE