Essays about: "GDP Forecasting"
Showing result 1 - 5 of 45 essays containing the words GDP Forecasting.
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1. Does industry survey data improve GDP forecasting?
University essay from Göteborgs universitet/Företagsekonomiska institutionenAbstract : This study assesses the integration of industry survey data into Bayesian Vector Auto Regressive (BVAR) models for GDP forecasting in Sweden. Analyzing a combination of macro economic indicators, CPI and unemployment rates, with survey data from NIER, it explores the effects of different variable combinations on the forecasting ability of different models. READ MORE
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2. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network
University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetAbstract : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). READ MORE
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3. Unlocking the crystal ball: Deciphering recessions through dynamic relationships among leading indicators in Sweden
University essay from Jönköping University/IHH, NationalekonomiAbstract : Forecasting economic recessions has been a major topic of interest for economists, decisionmakers and the public alike. In this study we ventured to analyse how changes in economic output or GDP is related to changes in consumer sentiment and house prices in the Swedish economy. READ MORE
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4. Extracting Growth Expectations from Financial Markets: An Investigation into the Dividend Market Dynamics
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : Dividend futures, reflecting the economic surplus, can be used as a forecasting tool for dividend and GDP growth. Building on prior research, I broaden the scope of analysis by encompassing a range of countries and evaluate the impact of shocks such as a military conflict on dividend and GDP growth expectations. READ MORE
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5. Forecasting CO2 Emissions in Sweden with a Bayesian Neural Network
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Carbon dioxide (CO2) is the main constituent of greenhouse gases whose increasing concentrations creates a multitude of different environmental problems. Developing an effective predictive modell for forecasting CO2 is therefore of great importance for future policymakers. READ MORE