Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 19 of 19 for “"Financial forecasting"”.
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Economic evaluation of financial forecasting
This thesis examines the economic evaluation of forecasting strategies based on past prices, bringing together academics and practitioners techniques Forecasting methods based on past prices are convex and path-dependent dynamic strategies Therefore, they must be able to profitably exploit positive …
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Natural Language Financial Forecasting: The South African Context
… reviews the literature of Natural Language Financial Forecasting (NLFF) and proposes novel implementation techniques with the use of Stock Exchange News Service (SENS) announcements to predict stock price trends with machine learning methods. Deep Learning has recently sparked interest in …
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Gene expression programming for Efficient Time-series Financial Forecasting
Stock market prediction is of immense interest to trading companies and buyers due to high profit margins. The majority of successful buying or selling activities occur close to stock price turning trends. This makes the prediction of stock indices and analysis a crucial factor in the determination …
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Opportunities for improving corporate budgeting and the financial forecasting process
This thesis focuses on how the financial planning and budgeting department of a corporation can improve its annual budget and financial forecasting processes. A series of interview were conducted to better assess the main issues and how they can be improved.
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A comparative evaluation of machine learning models for stock price prediction and uncertainity estimation
… which helps with model selection for practical financial forecasting. Four models were tested for point forecasting: Random Forest (RF), Gradient Boosting (GB), Multi-Layer Perceptron (MLP), and a hybrid stacking ensemble composed of multiple base learners. For uncertainty quantification, three …
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IncrediBowl by Petnique: Unique Pet Technology
… similar to the IncrediBowl, budgeting and financial forecasting, and Petnique's future as a company was created in order to promote the company and product to potential investors. Detailed finer element analysis (FEA) was also done to ensure that the product was safe.
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Empirical Analysis of Neural Architectures and Side Information in Financial Time Series Forecasting
… predictive capabilities of neural networks in financial time series forecasting, focusing on predicting the weekly close price of the SPY index. We explore the integration of options-derived features alongside traditional price data, compare recurrent architectures and transformer-based models, …
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Lifted Inference for Relational Hybrid Models
… medical informatics, environmental engineering, financial forecasting and robot localizations. Scaling inference algorithms for large models is a key challenge for scaling up current applications and enabling future ones. This thesis presents new insights into large-scale probabilistic graphical …
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LSTM prediction capability on the South African JSE Top 40 of historical and live data
… Short-Term Memory (LSTM) models in stock price forecasting using data from the South African FTSE/JSE Top 40 index, a domain yet to be extensively explored, particularly in real-time data analysis. Addressing the gap in existing research, this study assesses LSTM model predictive capability in …
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Evaluating the Strategic Intent and Competitive Dynamics of China’s Satellite Communications Constellations
… that integrates system throughput analysis and financial forecasting. Three deployment scenarios (base, optimistic, and pessimistic) are analyzed, accounting for satellite production rates, launch capabilities, and regional adoption patterns, particularly across Belt and Road Initiative (BRI) …
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Business plan for the Solar Recycle-o-Sort
… with business discussion and strategy. Necessary financial projections and analysis were added in order to assist the team in obtaining outside funding. The product will be marketed to communities and municipalities primarily as a means of recycling promotion, but also as a way of combating …
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Investor attention and stock market behaviour in Europe: Evidence from Google search data
… internet search data as a powerful tool for both forecasting and nowcasting stock market performance. Specifically, it presents an empirical analysis that applies both nowcasting and forecasting methodologies using aggregated Google search data through the Google Search Volume Index (GSVI) across …
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New probabilistic approaches for detecting and evaluating concept drift in data streams
In modern applications like online shopping, financial forecasting, and real-time fraud detection, data distributions frequently shift, causing predictive models trained on historical data to underperform. This phenomenon, known as Concept Drift (CD), presents a major challenge in adaptive learning …
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Implications of Financial Literacy on Entrepreneurship in Germany
… crises have highlighted the importance of financial forecasting and planning in the business environment. Both start-ups and established companies need to convince potential investors and lenders by demonstrating the expected return on their investment through correct calculations for their …
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Using international diversification to enhance predicted equity index performance: a South African perspective
… behaves as a random walk and as a result, price forecasting is impossible. Furthermore, financial forecasting is a difficult task due to the intrinsic complexities of any financial system. The purpose of this study is to examine the potential of developing an international investment strategy …
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Corporate Decision-Making: Three Essays in Applied Finance
… decision-making processes within the U.S. financial market. Drawing on two decades of comprehensive financial data from Compustat, encompassing the years 2000 to 2019 and involving 18,595 firm-year observations across 980 diverse companies, this study employs a robust methodological …