Essays about: "random walk"
Showing result 1 - 5 of 122 essays containing the words random walk.
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1. A Comparative Investigation of Classical Random and Quantum Walks in Terms of Algorithms, Implementation, and Characteristics
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : In recent years, there has been a significant development in high performance computing, driven by advances in hardware and software technology. The performance of the computers to the present has improved in accordance with Moore’s law, on the other hand, it seems to be reaching the limits in the near future. READ MORE
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2. Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of multivariate time-series models for the incidence counts, obtained from the surveillance systems. READ MORE
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3. CROSS-SECTIONAL AND TIME SERIES MOMENTUM RETURNS EVIDENCE FROM THE SWEDISH STOCK MARKET
University essay from KTH/Matematisk statistikAbstract : The study investigates the presence of the momentum effect in the Swedish stock market by utilizing both cross-sectional introduced by Jegadeesh and Titman (1993) and time-series momentum introduced by Moskowtozt et al. (2011). The period of analysis is between 1998 to 2022. READ MORE
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4. Does the Level of Swedish Economic Policy Uncertainty Help Forecast Excess Returns on the Swedish Stock Market?
University essay from Uppsala universitet/Företagsekonomiska institutionenAbstract : 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). READ MORE
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5. 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
