Sökning: "Mathematical Finance"

Visar resultat 1 - 5 av 39 uppsatser innehållade orden Mathematical Finance.

  1. 1. A multi-gene symbolic regression approach for predicting LGD : A benchmark comparative study

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Hanna Tuoremaa; [2023]
    Nyckelord :Symbolic regression; loss given default; credit risk; logit transformed regression; beta regression; multi-gene genetic programming; regression tree;

    Sammanfattning : Under the Basel accords for measuring regulatory capital requirements, the set of credit risk parameters probability of default (PD), exposure at default (EAD) and loss given default (LGD) are measured with own estimates by the internal rating based approach. The estimated parameters are also the foundation of understanding the actual risk in a banks credit portfolio. LÄS MER

  3. 2. Generating Extreme Value Distributions in Finance using Generative Adversarial Networks

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :William Nord-Nilsson; [2023]
    Nyckelord :Extreme Value Theory; Generative Adversarial Networks; Stress Testing; Machine Learning; Convolutional Neural Networks; evtGAN; Extreme Events; Extremvärdesteori; Generativa nätverk; Stresstestning; Maskininlärning; Djupt neuralt nätverk; evtGAN; Extrema händelser;

    Sammanfattning : This thesis aims to develop a new model for stress-testing financial portfolios using Extreme Value Theory (EVT) and General Adversarial Networks (GANs). The current practice of risk management relies on mathematical or historical models, such as Value-at-Risk and expected shortfall. LÄS MER

  4. 3. Forecasting Stock Prices Using an Auto Regressive Exogenous model

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Måns Hjort; Lukas Andersson; [2023]
    Nyckelord :Bachelor thesis; Asset pricing; Quantitative finance; ARX model; OMX30; Finance; Stocks; Predictive models; Time series analysis; mathematical optimization theory; Gurobi Optimization Software;

    Sammanfattning : 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. LÄS MER

  5. 4. Artificial Intelligence for Option Pricing

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Emil Hietanen; [2022-06-19]
    Nyckelord :Options; calls; puts; pricing; artificial neural networks; models; volatility; comparison;

    Sammanfattning : This thesis addresses the issue of vulnerable underlying assumptions used in option pricing methodology. More precisely; underlying assumptions made on the financial assets and markets make option pricing theory vulnerable to changes in the financial framework. LÄS MER

  7. 5. A Model for Estimating Short Interest

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Knut Dahlström; Carl Forssbeck; [2021]
    Nyckelord :Statistics; applied mathematics; regression; finance; short interest; stock market; Statistik; tillämpad matematik; regression; finans; korta positioner; aktiemarknaden;

    Sammanfattning : The hefty price increases in heavily shorted stocks in the beginning of 2021 indicates that short interest might be an underrated yet important key figure for investors when deciding on whether to take on an investment strategy or not. Most stock exchanges release information regarding the short interest only once a month leaving investors having to make decisions on outdated information. LÄS MER