Sökning: "forecast horizon"

Visar resultat 1 - 5 av 45 uppsatser innehållade orden forecast horizon.

1. 1. Demand Forecasting of Automobile Spare Parts after the End-of-Production - A review of demand forecasting models

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Abid Ali; Arosha Ratnayake; [2023-07-03]
   Nyckelord :Demand forecasting; Spare parts; Automobile; End-of-Production EOP ; PRISMA; AHP; MCDM;

   Sammanfattning : Demand forecasting of spare parts plays a crucial role in automobile industry where it generally requires a significant attention in controlling inventory. It is possible to maintain an optimal stock level when there is a continues supply at the Original Equipment Manufacturers (OEMs). LÄS MER

3. 2. The pricing accuracy of the unbiased RIV model

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

   Författare :Jonny Jin; Daniel Klingberg; [2023]
   Nyckelord :Pricing accuracy; Residual income valuation; Unbiased accounting; Accounting measurement bias; Conservative accounting;

   Sammanfattning : 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

4. 3. Teoretiska multiplar i praktiken : En kvantitativ studie av en investeringsstrategi baserad på multiplars fundamentala värdedrivare.

   Magister-uppsats, Linköpings universitet/Institutionen för ekonomisk och industriell utveckling; Linköpings universitet/Filosofiska fakulteten

   Författare :Viktor Ström; Victor Wallenborg; [2022]
   Nyckelord :Relative valuation; Excess return; Efficient market hypothesis; Multiple; Investment strategy.; Relativvärdering; Överavkastning; Effektiva marknadshypotesen; Multiplar; Investeringsstrategi.;

   Sammanfattning : Background: Investing in stocks seems to be more widespread than ever. The question is whether there are strategies that mean that investors systematically and over a longer period of time can generate excess returns. LÄS MER

5. 4. Evaluation of Machine Learning Methods for Time Series Forecasting on E-commerce Data

   Master-uppsats, KTH/Matematisk statistik

   Författare :Peter Abrahamsson; Niklas Ahlqvist; [2022]
   Nyckelord :Thesis; Time Series; Machine Learning; E-commerce; Demand Forecasting; Multiple Linear Regression; SARIMAX; XGBoost; LSTM; Model Evaluation; Examensarbete; tidsserier; maskininlärning; e-handel; efterfrågeprognoser; multipel linjär regression; SARIMAX; XGBoost; LSTM; modellutvärdering;

   Sammanfattning : Within demand forecasting, and specifically within the field of e-commerce, the provided data often contains erratic behaviours which are difficult to explain. This induces contradictions to the common assumptions within classical approaches for time series analysis. Yet, classical and naive approaches are still commonly used. LÄS MER

7. 5. The efficiency of Hyndman-Ullah methods in case of populations with abnormal short-term increases of mortality rates due to wars and pandemics.

   Master-uppsats, Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

   Författare :Teo Raspudić; [2022]
   Nyckelord :;

   Sammanfattning : This report is written with the goal of analyzing the efficiency of the Hyndman-Ullah (HU) and weighted Hyndman-Ullah (wHU) methods when working with the populations that suffered higher mortalities due to the wars and pandemics. Accordingly, the HU and wHU methods are applied to the training sets containing outlying years. LÄS MER