Essays about: "price competitive"

Showing result 11 - 15 of 351 essays containing the words price competitive.

1. 11. Forecasting copper price using VAR and the XGBoost model: an experiment with a relatively small dataset

   University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

   Author : Juanli Hu; [2023]
   Keywords : copper price; Vector autoregressive model; XGBoost; Time series; Business and Economics;

   Abstract : Given the importance of copper prices to investors, governments, and policymakers, this paper investigates short-term price predictability using VAR and XGBoost models. All models are trained with historical data from November 2021 to December 2022 and using MSE, RMSE and MAE for evaluating the model performance. READ MORE

3. 12. A Mixed Time-Series & Machine Learning Approach for Price Forecasting in the Swedish Ancillary Market

   University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

   Author : Daniel Arredondo; [2023]
   Keywords : Hybrid model; Volatility model; Machine learning model; Price spike prediction; Energy trading; Time series forecasting; Ancillary service market; Business and Economics;

   Abstract : This study aims to forecast the Swedish FCR-D Down A2 market prices through a hybrid model combining a volatility model and a machine learning approach, and compares its performance with a standalone machine learning model. We further examine the impact of different lag orders (1-Hr vs. 24-Hr) on volatility estimates and forecast performance. READ MORE

4. 13. Research on marketing strategies for apparel FMCG brands based on young female consumer purchasing behaviour

   University essay from Jönköping University/IHH, Företagsekonomi

   Author : Xinying Liu; Zirong Wang; [2023]
   Keywords : Apparel FMCG; Consumer behaviour; Competitiveness; Digital Transformation;

   Abstract : Background: In today's fast-paced and highly competitive marketplace, Fast Moving Consumer Goods (FMCG) brands must create a strong competitive advantage in one way to achieve this is to understand and cater to the needs, preferences and behaviors of their target consumers.In case of apparel FMCG brands, young women are an important demographic group as they make up a large portion of the consumer market. READ MORE

5. 14. Modelling Airbnb Prices in the Maltese Islands

   University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

   Author : Gabriella Camilleri; [2023]
   Keywords : Airbnb; Maltese Islands; Machine Learning; Geospatial Data; Transfer; Business and Economics;

   Abstract : The digital platform Airbnb has gained popularity in a number of countries particu- larly in the Maltese islands. Striking a balance in setting a price that is competitive and also renders a good profit can be a challenge. READ MORE

6. 15. Interpretability and Accuracy in Electricity Price Forecasting : Analysing DNN and LEAR Models in the Nord Pool and EPEX-BE Markets

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Maria Margarida de Mendoça de Atayde P. de Mascarenhas; [2023]
   Keywords : Deep Neural Network DNN ; Lasso Estimated AutoRegressive LEAR ; Electricity Price Forecasting EPF ; Interpretability; EPEX-BE; Nord Pool.; Deep Neural Network DNN ; Lasso Estimate AutoRegressive LEAR ; elprisprognoser; tolkbarhet; EPEX-BE; Nord Pool.;

   Abstract : Market prices in the liberalized European electricity system play a crucial role in promoting competition, ensuring grid stability, and maximizing profits for market participants. Accurate electricity price forecasting algorithms have, therefore, become increasingly important in this competitive market. READ MORE