[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-125250-en":3,"doc-seo-125250-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},125250,687197207057,"Sage","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","Leveraging Machine Learning for Financial Forecasting - A Dual Approach to Meme Stock Price and GDP Prediction","This Master of Philosophy dissertation investigates how machine learning can improve financial forecasting by building a dual approach for meme stock price prediction and GDP prediction. It frames the problem through research motivation, scope, and defined aims and research questions. The literature review covers meme culture and r/Wallstreetbets dynamics, evaluation metrics for stock performance, recurrent neural network models, and sentiment data sources. For GDP, it analyzes macroeconomic drivers and compares traditional methods with machine learning in economic prediction.","Leveraging Machine Learning for Financial Forecasting: A Dual Approach to Meme Stock Price and GDP Prediction  \nMaster of Philosophy  \nBy  \nPiyumi Perera  \nStrathclyde University  \n2024  \nLeveraging Machine Learning for Financial Forecasting: A Dual Approach to Meme Stock  \nPrice and GDP Prediction  \nBy  \nStudent Name: Piyumi Perera  \nStudent No: 202260979  \nFor the Master of Philosophy  \nUnder the Supervision of Prof. Anil Fernando  \n2024  \nTable of Contents  \nAbstract .................................................................................................................................. viii  \nAcknowledgement ..................................................................................................................... x  \nTable of Figures ........................................................................................................................xi  \nTable of Tables .........................................................................................................................xii  \nDefinition of Key Terminologies ........................................................................................... xiii  \n1 CHAPTER ONE ................................................................................................................. 1  \n1.1 Introduction ................................................................................................................ 1  \n1.2 Motivation and Research Scope.................................................................................3  \n1.3 Background of Research ............................................................................................4  \n1.4 Problem Statement .....................................................................................................7  \n1.5 Aims and Objectives .................................................................................................. 8  \n1.6 Research questions ................................................................................................... 10  \n1.7 Novelty and Contribution ........................................................................................ 10  \n1.8 Dissertation Outline ................................................................................................. 13  \n2 CHAPTER TWO .............................................................................................................. 17  \nLiterature Review ................................................................................................................. 17  \n2.1 Introduction .............................................................................................................. 17  \n2.2 The COVID-19 Pandemic Influence on Economic Indicators and the Stock Market  \n17  \n2.3 Retail Investors and Investing Platforms ................................................................. 19  \n2.4 Memes and Meme Culture.......................................................................................20  \n2.5 r/Wallstreetbets, GameStop and Short Squeeze .......................................................21  \n2.6 Meme Stocks............................................................................................................22  \n2.7 Evaluation of Stock Market Performance................................................................23  \n2.7.1 P/E ratio ...............................................................................................................23  \n2.7.2 EV/EBITDA ........................................................................................................24  \n2.7.3 DCF Model ..........................................................................................................25  \n2.8 RNN Models and Their Variants..............................................................................26  \n2.9 Machine Learning in Stock Price Prediction ...........................................................27  \n2.10 Historic","cbCaij92ueaQRoDB","https://ap.wps.com/l/cbCaij92ueaQRoDB","pdf",4067120,1,176,"English","en",105,"# Abstract\n# Acknowledgement\n# Table of Figures\n# Table of Tables\n# Definition of Key Terminologies\n# Chapter One\n## Introduction\n## Motivation and Research Scope\n## Background of Research\n## Problem Statement\n## Aims and Objectives\n## Research questions\n## Novelty and Contribution\n## Dissertation Outline\n# Chapter Two\n## Literature Review\n## The COVID-19 Pandemic Influence on Economic Indicators and the Stock Market\n## Retail Investors and Investing Platforms\n## Memes and Meme Culture\n## r/Wallstreetbets, GameStop and Short Squeeze\n## Meme Stocks\n## Evaluation of Stock Market Performance\n## RNN Models and Their Variants\n## Machine Learning in Stock Price Prediction\n## Historical and Technical Data in Stock Price Prediction\n## Sentiment Data in Stock Price Prediction\n## Current Direction of Sentiment Analysis in Finance\n## Gross Domestic Product\n## Macroeconomic variables and GDP\n## Traditional GDP Prediction Methods\n## Machine Learning in Economic Predictions\n# Chapter Three\n## Sentiment Driven Meme Stock Price Prediction: Analysing WallStreetBets Discussion to Forecast Stock Prices with Recurrent Neural Networks","[{\"question\":\"What two forecasting tasks does the dissertation focus on?\",\"answer\":\"It focuses on meme stock price prediction using sentiment signals and on GDP prediction using macroeconomic variables.\"},{\"question\":\"Which research directions are covered in the literature review for stock prediction?\",\"answer\":\"The review covers meme culture and WallStreetBets context, stock performance evaluation metrics, recurrent neural network model variants, and the role of historical/technical and sentiment data.\"},{\"question\":\"How does the dissertation treat GDP prediction methodology?\",\"answer\":\"It reviews macroeconomic drivers of GDP and contrasts traditional GDP prediction methods with machine learning approaches used in economic prediction.\"}]","Leveraging Machine Learning for Financial Forecasting - A Dual Approach to Meme Stock Price and GDP Prediction | 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two forecasting tasks does the dissertation focus on?","Question",{"text":75,"@type":76},"It focuses on meme stock price prediction using sentiment signals and on GDP prediction using macroeconomic variables.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which research directions are covered in the literature review for stock prediction?",{"text":80,"@type":76},"The review covers meme culture and WallStreetBets context, stock performance evaluation metrics, recurrent neural network model variants, and the role of historical/technical and sentiment data.",{"name":82,"@type":73,"acceptedAnswer":83},"How does the dissertation treat GDP prediction methodology?",{"text":84,"@type":76},"It reviews macroeconomic drivers of GDP and contrasts traditional GDP prediction methods with machine learning approaches used in economic 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