Sökning: "thesis on price forecasting model"

Visar resultat 1 - 5 av 59 uppsatser innehållade orden thesis on price forecasting model.

1. 1. 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

3. 2. A Markovian Approach to Financial Market Forecasting

   Kandidat-uppsats, KTH/Matematisk statistik

   Författare :Kevin Sun Wang; William Borin; [2023]
   Nyckelord :Markov chain; Markov model; stock market prediction; Laplace smoothing; steady-state; forecasting; trading strategy; stochastic; trading algorithm; Markovkedjor; Markovmodell; prediktion; Laplace-jämning; stationär fördelning; tradingstrategi; stokastisk; trading algoritm;

   Sammanfattning : This thesis aims to investigate the feasibility of using a Markovian approach toforecast short-term stock market movements. To assist traders in making soundtrading decisions, this study proposes a Markovian model using a selection ofthe latest closing prices. LÄS MER

4. 3. CryptoCurrency Time Series analysis : Comparative analysis between LSTM and BART Algorithm

   Uppsats för yrkesexamina på grundnivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Lakshmi Vyshnavi Nerella; Chiranjeevi Ponnada; [2023]
   Nyckelord :;

   Sammanfattning : Background: Cryptocurrency is an innovative digital or virtual form of money thatuses cryptographic techniques for secured financial transactions within a decentralized structure. Due to its high volatility and susceptibility to external factors, itis difficult to understand its behavior which makes accurate predictions challengingfor the investors who are trying to forecast price changes and make profitable investments. LÄS MER

5. 4. Decision support in a volatile electricity market: forecasting and cost optimization

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

   Författare :Oscar Andreas Olsson; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : Given the increase in electricity prices in recent years due to two reasons; the rebound effect after the initial corona outbreak and the Russian invasion of Ukraine, the burden of paying the rising monthly expense for electricity has become an unwelcome reality for a significant part of society. The electricity trades on the open market called Nord Pool for the Nordic countries, among others, where buyers and sellers come together to find a market price for electricity each day. LÄS MER

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

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

   Författare :Maria Margarida de Mendoça de Atayde P. de Mascarenhas; [2023]
   Nyckelord :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.;

   Sammanfattning : 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. LÄS MER