Avancerad sökning
Hittade 3 uppsatser som matchar ovanstående sökkriterier.
1. Using Machine Learning to Predict Aggregate Excess Returns
D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiSammanfattning : In this paper we examine whether standard linear regression and machine learning tools can be used to predict the time series of total returns in excess of the risk-free rate on the S&P500 and FTSE100 indices. We have virtually no success in predicting monthly returns. However, we do have some success in predicting annual returns. LÄS MER
2. Contributing factors to apartment pricing in Stockholm Vasastan: : An analysis using multilinear regression
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : This thesis uses multilinear regression analysis to identify the variables and the magnitude of the variables affecting the housing market in Vasastan, a district of Stockholm, Sweden. We then make an attempt to generalize the results to the entire Stockholm area, and reason around why certain factors may be important drivers of price. LÄS MER
3. The challenges of the ecotourism concept in Manaus - A contrasted on site perspective
C-uppsats, Handelshögskolan i Stockholm/Institutionen för marknadsföring och strategiSammanfattning : The purpose of this thesis is to identify and describe what implementation barriers companies face when implementing the ecotourism concept in Manaus, Brazil. To accomplish this, we have traveled to Manaus, in the heart of the Amazon rainforest, and conducted one quantitative and one qualitative study. LÄS MER