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Showing result 1 - 5 of 38 essays matching the above criteria.

  1. 1. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Robert Iain Salter; [2023]
    Keywords : Behavioural Credit Scoring; Deep Learning; Machine Learning; Long Short-Term Memory; Default Prediction;

    Abstract : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. READ MORE

  3. 2. Modelling Proxy Credit Cruves Using Recurrent Neural Networks

    University essay from KTH/Matematisk statistik

    Author : Lucas Fageräng; Hugo Thoursie; [2023]
    Keywords : Deep Neural Networks; Credit Risk; Financial Modelling; LSTM; Credit Default Swaps; Credit Valuation Adjustment; Djupa Neurala Nätverk; Kreditrisk; Finansiell Modellering; LSTM; Kreditswappar; Kreditvärderingsjustering;

    Abstract : Since the global financial crisis of 2008, regulatory bodies worldwide have implementedincreasingly stringent requirements for measuring and pricing default risk in financialderivatives. Counterparty Credit Risk (CCR) serves as the measure for default risk infinancial derivatives, and Credit Valuation Adjustment (CVA) is the pricing method used toincorporate this default risk into derivatives prices. READ MORE

  4. 3. Artificial Neural Networks for Financial Time Series Prediction

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Dana Malas; [2023]
    Keywords : artificial neural networks; time series analysis; deep learning; finance; long short-term memory; simple moving average;

    Abstract : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. READ MORE

  5. 4. Risks, Concerns and Performance of AI Tools on the Stock Market

    University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Author : Albin Södervall; David Värmfors; [2023]
    Keywords : Artificial intelligence; stock market; issues; problems; risk;

    Abstract : This thesis investigates the impact of artificial intelligence (AI) tools on the stock market, focusing on its effects on risk, performance, and concerns. Through an analysis of existing literature and an experiment, this study aims to provide insights into the potential benefits and drawbacks of using AI in stock market trading. READ MORE

  6. 5. An Artificial Neural Network Approach to Algorithmic Trading

    University essay from Lunds universitet/Matematisk statistik

    Author : Timmie Bengtsson; [2023]
    Keywords : Financial Markets; Machine Learning; Long Short-Term Memory; Gated Recurrent Unit; Recurrent Neural Networks; Time Series Analysis; Algorithmic Trading; Mathematics and Statistics;

    Abstract : The field of machine learning has advanced significantly in recent decades, and, at the same time, computational power has improved to the point where training large machine learning models, such as artificial neural networks, is now accessible. Consequently, there has been a rise in the use of these models within the financial sector, with some firms leveraging them to assist with investment decisions. READ MORE