Essays about: "stocks predicting"

Showing result 1 - 5 of 42 essays containing the words stocks predicting.

  1. 1. Stock Price Predictions for FAANG Companies Using Machine Learning Models

    University essay from Lunds universitet/Statistiska institutionen

    Author : Hugo Dahlquist; Fredrik Fourong; [2024]
    Keywords : Random Forest; Artificial Neural Networks; Stock prices; Predictions.; Mathematics and Statistics;

    Abstract : The financial industry is one of the highest grossing sectors in the world as it is estimated to represent 24\% of the global economy. As most companies want their asset value to increase, it is of high interest to make good investments which will increase in either the short or long run. READ MORE

  3. 2. On Predicting Price Volatility from Limit Order Books

    University essay from Uppsala universitet/Matematiska institutionen

    Author : Reza Dadfar; [2023]
    Keywords : General Compound Hawkes Process; Limit Order Book LOB ; High- Frequency Trading; Price Volatility; Markov Chain.;

    Abstract : Accurate forecasting of stock price movements is crucial for optimizing trade execution and mitigating risk in automated trading environments, especially when leveraging Limit Order Book (LOB) data. However, developing predictive models from LOB data presents substantial challenges due to its inherent complexities and high-frequency nature. READ MORE

  4. 3. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning

    University essay from KTH/Matematisk statistik

    Author : Hannes Andersson; John Sjöberg; [2023]
    Keywords : Supply chain disruption; SMOTE; feature engineering; machine learning; random forest; statistics; applied mathematics; Störning i försörjningskedja; maskininlärning; matematik; statistik;

    Abstract : The dairy business is vulnerable to supply chain disruptions since large safety stocks to cover up losses are not always a viable option, therefore it is crucial to maintain a smooth supply chain to ensure stable delivery accuracies. Disruptions are unpredictable and hard to avoid in the supply chain, especially in cases where production errors cause lost production volume. READ MORE

  5. 4. Can Machine Be a Good Stock Picker?: Bridging the Gap between Fundamental Data and Machine Learning

    University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Author : Tomoya Narita; Povilas Stankevicius; [2023]
    Keywords : Machine Learning; XGBoost; Relative Valuation; Convergence Trade;

    Abstract : We investigate the efficacy of historical accounting data and consensus forecasts for relative valuation of stocks, employing tree-based machine learning methods. We run an XGBoost model for monthly cross-sections of financial and pricing data of US equities from 1984 to 2021. READ MORE

  6. 5. 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 datavetenskap

    Author : Teja Sai Vaibhav Boppana; Joseph Sudheer Vinakonda; [2023]
    Keywords : Machine Learning; Market Trends; News; Headlines Stock Price Prediction; VADER.;

    Abstract : 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