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Using Hybrid Machine Learning Models For Stock Price Forecasting And Trading., Ahmed Khalil
Using Hybrid Machine Learning Models For Stock Price Forecasting And Trading., Ahmed Khalil
Theses and Dissertations
Trading stocks of publicly traded companies in stock markets is a challenging topic since investors are researching what tools can be used to maximize their profits while minimizing risks, which encouraged all researchers to research and test different methods to reach such a goal. As a result, the use of both fundamental analysis and technical analysis started to evolve to support traders in buying and selling stocks. Recently, the focus increased on using Machine learning models to predict stock prices and algorithmic trading as currently there is a huge amount of data that can be processed and used to forecast …
Essays On Fake Review Detection, Managerial Response, And Consumer Perceptions, Long Chen
Essays On Fake Review Detection, Managerial Response, And Consumer Perceptions, Long Chen
Theses and Dissertations
This dissertation investigates how online reviews and managerial responses jointly affect consumer perceptions. I first examine and compare the outcomes of multiple fake review classifiers using various algorithms, including traditional machine learning methods and recently developed deep learning methods (essay I). Then, based on the findings of the first essay, I examine the interrelationship between fake review detection, managerial response, and hotel ratings and ratings’ growths (essay II).The first essay is a comparative study on the methodology of identifying fake reviews. Although online reviews have attracted much attention from academia and industry for over fifteen years, how to identify fake …