Sökning: "Valuation accuracy"
Visar resultat 1 - 5 av 61 uppsatser innehållade orden Valuation accuracy.
1. The Missing Ingredient: How to improve value investing in the information age
D-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansieringSammanfattning : This thesis aims to inform a value investing strategy in specific niches of European firms by adjusting the book-to-market (B/M) ratio for intangible assets. An increase in intangible assets' importance for corporate value creation coupled with a lack of amendments to their accounting treatment has led to debates on the value relevance and accuracy of accounting information, including the B/M ratio used to derive value premiums. LÄS MER
2. The pricing accuracy of the unbiased RIV model
D-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansieringSammanfattning : This paper aims to investigate whether the pricing accuracy of the RIV model is improved with unbiased accounting. The introduction of the Feltham-Ohlson model has left researchers with an eagerness to propose a RIV model with high pricing accuracy. LÄS MER
3. Aktieanalytikers träffsäkerhet på den svenska aktiemarknaden : En kvantitativ studie om prognosfel på riktkurser och dess samband med bolagsspecifika variabler
Magister-uppsats, Linköpings universitet/Institutionen för ekonomisk och industriell utveckling; Linköpings universitet/Filosofiska fakultetenSammanfattning : Bakgrund: Internationell forskning pekar nästan samstämmigt på ett systematiskt problem med att aktieanalytiker regelbundet misslyckas med att publicera korrekta riktkurser. Aktieanalytikerna tenderar att övervärdera aktier, och deras prognoser stämmer sällan. LÄS MER
4. Prisestimering på bostadsrätter : Implementering av OCR-metoder och Random Forest regression för datadriven värdering
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : This thesis explores the implementation of Optical Character Recognition (OCR) – based text extraction and random forest regression analysis for housing market valuation, specifically focusing on the impact of value factors, derived from OCR-extracted economic values from housing cooperatives’ annual reports. The objective is to perform price estimations using the Random Forest model to identify the key value factors that influence the estimation process and examine how the economic values from annual reports affect the sales price. LÄS MER
5. Segmentation and Valuation in Stockholm Housing Market : Spatial Continuous and Discontinuous Submarkets Evaluating by Hedonic Price Model and XGBoost Model
Master-uppsats, KTH/Fastighetsekonomi och finansSammanfattning : The housing market segmentation could provide a reference for more targeted policymaking and investment strategies. Although there have been many studies, there are no consistent submarkets delineating methods because of a lack of theoretical support and subjective evaluation. In this paper, two market segmentation methods are introduced. LÄS MER