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Showing result 1 - 5 of 23 essays matching the above criteria.
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1. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. READ MORE
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2. Net Present Value of Investments in Data Warehousing and Differences Across Firm Sizes
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : The continuous advent of data management technologies has enabled small and medium-sized enterprises (SME)s like Transalb Kühl- und Express-GmbH, a small German trucking company, to explore the strategic and financial benefits of data warehousing. This case study evaluates the data warehouse investment at Transalb by employing a Net Present Value (NPV) analysis to determine its financial viability. READ MORE
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3. The future is green : How the greenium of corporate bonds evolve over time and what factors impact yield
University essay from Jönköping UniversityAbstract : Background: The impact of climate change on people's health and lives is a growing concern, with viruses, malnutrition, and heat stress potentially causing up to 250,000 deaths per year between 2030-2050. To address this issue, organizations and institutions are taking action to create a more sustainable world. READ MORE
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4. Forecasting Stock Prices Using an Auto Regressive Exogenous model
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : This project aimed to evaluate the effectiveness of the Auto Regressive Exogenous(ARX) model in forecasting stock prices and contribute to research on statisticalmodels in predicting stock prices. An ARX model is a type of linear regression modelused in time series analysis to forecast future values based on past values and externalinput signals. READ MORE
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5. Financial Applications of Benford’s Law - A Mathematical Approach for Analyzing Financial Market Behaviour
University essay from KTH/Matematisk statistikAbstract : The increasing usage of algorithms and extensive collections of data have changed the discipline of finance and created new possibilities for analyzing the financial markets. To further explore the potential of developing new methods for understanding financial market behaviour, this thesis examines the first digit probability distribution of Benford's Law and its applicability within the financial markets. READ MORE