Essays about: "error correction model and forecast."

Showing result 1 - 5 of 10 essays containing the words error correction model and forecast..

1. 1. Is there a long-run relationship between stock prices and economic activity and are stock returns a leading indicator for economic growth? : Evidence from the Scandinavian countries: Sweden, Norway and Denmark

   University essay from Örebro universitet/Handelshögskolan vid Örebro Universitet

   Author : Anna Carlsson; Jonas Holm; [2021]
   Keywords : ;

   Abstract : The purpose of this paper is twofold. First, the Johansen cointegration framework is applied to analyze the long-run relationship between stock prices and economic activity, using GDP as a proxy. In consideration of a long-run relationship a vector error correction model (VECM) is estimated to analyze the parameters of cointegration. READ MORE

3. 2. An evaluation of using GPM satellite products to forecast flash floods in mountainous catchments

   University essay from Lunds universitet/Avdelningen för Teknisk vattenresurslära

   Author : Yihan Chen; [2017]
   Keywords : GPM; Han River; Flood; IMERG; Mountain; Technology and Engineering;

   Abstract : NASA's GPM satellite rainfall products IMERG early run and IMERG late run were evaluated for their applicability in flash flood forecasting. The selected catchment was the upper Han River basin, a mountainous catchment with low precipitation in winter and heavy precipitation during summers located in central China. READ MORE

4. 3. An Investigation of the Swedish Consumption Function : An Error-Correction Approach

   University essay from Linnéuniversitetet/Institutionen för nationalekonomi och statistik (NS)

   Author : Robert Pölder; [2017]
   Keywords : Consumption; consumption function; vector error-correction model; forecast accuracy; intercept correction; cointegration; Sweden; wealth effects; housing wealth; financial wealth; vector autoregressive model; Bayesian vector autoregressive model;

   Abstract : This thesis examines the Swedish aggregate consumption function using the concept of cointegration, and explores whether consumption, income, financial wealth, and housing wealth share a long-run trend. The goal of the study was to determine the strength of this cointegrating relationship, the relative roles of housing wealth and financial wealth in the consumption function, and a suitable method for forecasting consumption. READ MORE

5. 4. Wind Power Forecast Accuracy in Scandinavia:Analysis of Forecast Errors Using TAPM

   University essay from KTH/Kraft- och värmeteknologi

   Author : Sara Jarmander; [2017]
   Keywords : ;

   Abstract : Wind power has different characteristics compared to conventional energy sources. The main difference is that wind power fluctuates under the influence of meteorological variables. This gives rise to problems related to grid stability. READ MORE

6. 5. Can the forecast of the cotton price be improved using a model based upon economic variables?

   University essay from Lunds universitet/Nationalekonomiska institutionen

   Author : Camilla Olén; Tobias Norrman Andersson; [2013]
   Keywords : Cotton; VECM; Forecasting; Out-Of-Sample; Business and Economics;

   Abstract : The purpose of this thesis is to find a model, which is based on economic variables that can forecast the cotton price better than commonly used benchmark models. A vector error correction model is used because of the existence of non-stationary variables and one cointegration relation in the data. READ MORE