Essays about: "Autoregressive Model"
Showing result 1 - 5 of 248 essays containing the words Autoregressive Model.
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1. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks
University essay from Uppsala universitet/Statistiska institutionenAbstract : 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
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2. Modelling the Exchange Rate: Evidence from the Impacts of Quantitative Easing in Sweden
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : Quantitative easing, the unconventional monetary policy measure used by many central banks to combat low inflation when interest rates are at the lower bound, has shown to be an effective tool for depreciating the domestic currency. Although the exchange rate is of particular importance in a small open economy as it directly impacts inflation dynamics,trade competitiveness and plays a substantial role in shaping monetary policy, few papers have investigated how the depreciating effect of QE to the exchange rate works. READ MORE
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3. Investigating Non-Linear Exchange Rate Pass-Through in Sweden: Estimates from a Logistic Smooth Transition Vector Autoregressive Model
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : This paper provides novel estimations of a non-linear exchange rate pass-through dependent on inflation for Sweden using a logistic smooth transition vector autoregressive model. The model enables smooth transitions between high and low inflation regimes, mirroring the dynamics of the economy and capturing regime-specific effects. READ MORE
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4. Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of multivariate time-series models for the incidence counts, obtained from the surveillance systems. READ MORE
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5. Forecasting Volatility of Electricity Intraday Log Returns with Generalized Autoregressive Score Models
University essay from Göteborgs universitet/Graduate SchoolAbstract : We forecast volatility of electricity intraday log returns with Generalized Autoregressive Score (GAS) models. We extend our GAS models with variables representing the difference between the public’s expectation of weather and energy load and the actual outcome using a restricted ARMA(4,4) model. READ MORE
