Essays about: "Quantitative Forecast"
Showing result 6 - 10 of 64 essays containing the words Quantitative Forecast.
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6. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. READ MORE
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7. Development of an Improved Demand Planning Process - A Case Study at KåKå
University essay from Lunds universitet/Teknisk logistikAbstract : Background: Operations planning and control has undergone an extensive shift from an individual company focus to a complete supply chain focus which has required a new common approach for supply chain planning and control to evolve. Increasing competition and globalization has created complexity in supply chain planning and integration since it requires a new cross-functional approach. READ MORE
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8. Relative or Discounted Cash Flow Valuation on the Fifty Largest US-Based Corporations on Nasdaq : Which of these valuation methods provides the most accurate valuation forecast?
University essay from Linnéuniversitetet/Institutionen för management (MAN)Abstract : The topic of this Bachelor Thesis is “Which of these valuation methods provides the most accurate valuation forecast”. Assuming that the year is 2020, the goal of this thesis is to forecast the future stock prices of the fifty largest US-based companies on the Nasdaq stock exchange for 2021 and 2022. READ MORE
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9. 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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10. Development of a Forecasting Model for Original Equipment Manufacturer (OEM) Components - A Design Science Study at Tetra Pak
University essay from Lunds universitet/Teknisk logistikAbstract : Title: Development of a Forecasting Model for Original Equipment Manufacturer (OEM) Components. A Design Science Study at Tetra Pak. READ MORE