Sökning: "Forecasting Accuracy"

Visar resultat 6 - 10 av 282 uppsatser innehållade orden Forecasting Accuracy.

1. 6. Svenska Bankers Prognosutveckling för Kreditförluster under Införandet av IFRS 9 : En kvantitativ studie av redovisningsstandardens inverkan på svenska banker

   Kandidat-uppsats, Södertörns högskola

   Författare :Nour Al-Fakhoury; Nour-Eddin Shaker; [2023]
   Nyckelord :IFRS 9; Förväntade kreditförluster; konstaterade kreditförluster; svenska banker; medelstora banker; små banker;

   Sammanfattning : This study examines the impact of the transition from IAS 39 to IFRS 9 on the credit loss forecasting ability of banks, and its implications for value relevance. The implementation of IFRS 9 brought about a shift from the Incurred Credit Loss (ICL) model to the Expected Credit Loss (ECL) model, emphasizing forward-looking information. LÄS MER

3. 7. Sales forecasting for supply chain using Artificial Intelligence

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Vaibhav Mittal; [2023]
   Nyckelord :AI; sales forecasting; supply chain; predictive analytics; AI; försäljningsprognoser; supply chain; predictiv analys;

   Sammanfattning : Supply chain management and logistics are two sectors currently experiencing a transformation thanks to the advent of AI(Artificial Intelligence) technologies. Leveraging predictive analytics powered by AI presents businesses with novel opportunities to streamline their operations effectively. LÄS MER

4. 8. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

   Författare :Stella Jarlöv; Anton Svensson Dahl; [2023]
   Nyckelord :demand forecasting; data augmentation; time series data; machine learning; restaurant industry; generative adversarial networks; TimeGAN; XGBoost;

   Sammanfattning : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. LÄS MER

5. 9. Does the Level of Swedish Economic Policy Uncertainty Help Forecast Excess Returns on the Swedish Stock Market?

   Master-uppsats, Uppsala universitet/Företagsekonomiska institutionen

   Författare :Gustav Jacobsson; Oscar Klersell; [2023]
   Nyckelord :Economic Policy Uncertainty EPU ; Excess stock returns; Out-of-sample forecasting; Random walk; Sweden;

   Sammanfattning : This thesis examines whether the level of Swedish economic policy uncertainty (EPU) can predict excess returns on the Swedish stock market. We run out-of-sample forecasting using an EPU-based predictive model constructed with the official Swedish EPU index developed by Armelius et al. (2017). LÄS MER

7. 10. On Predicting Price Volatility from Limit Order Books

   Master-uppsats, Uppsala universitet/Matematiska institutionen

   Författare :Reza Dadfar; [2023]
   Nyckelord :General Compound Hawkes Process; Limit Order Book LOB ; High- Frequency Trading; Price Volatility; Markov Chain.;

   Sammanfattning : Accurate forecasting of stock price movements is crucial for optimizing trade execution and mitigating risk in automated trading environments, especially when leveraging Limit Order Book (LOB) data. However, developing predictive models from LOB data presents substantial challenges due to its inherent complexities and high-frequency nature. LÄS MER