Advanced search
Showing result 1 - 5 of 189 essays matching the above criteria.
-
1. From Investment to Payoff: Exploring the CostImplications of AI Adoption in InventoryManagement Across the Different Phases
University essay from Jönköping University/Internationella HandelshögskolanAbstract : Background and problem discussion: In recent years, there has been increasing recognition ofArtificial intelligence (AI) and its benefits in various sectors, including inventory management,which is a significant component of company expenses. However, adopting AI in inventorymanagement also comes with challenges and expenses before businesses can fully reap itsbenefits. READ MORE
-
2. A Markovian Approach to Financial Market Forecasting
University essay from KTH/Matematisk statistikAbstract : 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. READ MORE
-
3. Volatility Modelling in the Swedish and US Fixed Income Market : A comparative study of GARCH, ARCH, E-GARCH and GJR-GARCH Models on Government Bonds
University essay from Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakultetenAbstract : Volatility is an important variable in financial markets, risk management and making investment decisions. Different volatility models are beneficial tools to use when predicting future volatility. The purpose of this study is to compare the accuracy of various volatility models, including ARCH, GARCH and extensions of the GARCH framework. READ MORE
-
4. Artificial Neural Networks for Financial Time Series Prediction
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. READ MORE
-
5. CryptoCurrency Time Series analysis : Comparative analysis between LSTM and BART Algorithm
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : 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. READ MORE