Essays about: "Financial mathematics"
Showing result 16 - 20 of 131 essays containing the words Financial mathematics.
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16. Migration plan of Risky Total Return Swap to Bond Return Swap
University essay from KTH/Matematisk statistikAbstract : Since the 2008 crisis, the hedging instruments have gained popularity with financial institutions. This is the case of the total return swap that is used today by major institutions like Goldman Sachs or J.P. Morgan. READ MORE
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17. Portfolio optimization using factor models
University essay from Lunds universitet/Matematisk statistikAbstract : In this thesis model predictive control (MPC) is used to dynamically optimize a portfolio where data is sampled at the closing price. Previous research has shown that MPC optimization applied on financial data can yield a portfolio that exceeds the value of traditional portfolio strategies. READ MORE
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18. Option Pricing and Early Exercise Boundary of American Options under Markov-Modulated Volatility
University essay from Mälardalens högskola/Akademin för utbildning, kultur och kommunikationAbstract : The CRR binomial model is one of the most important models in financial mathematics. In this thesis we consider an extension to this model with Markov switching-state volatility. We present a detailed algorithm for obtaining early exercise boundaries for American options, as well as, fair prices for both American and European options. READ MORE
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19. Sustainability scores for portfolio performance
University essay from KTH/Matematisk statistikAbstract : In this thesis, the traditional methods of only using ESG scores to screen stocks for sustainable portfolios is broadened. The selection of securities for portfolios will instead depend on aggregation, weighting and normalization of a wider set of sustainability variables, in turn creating more all-encompassing sustainability scores. READ MORE
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20. Synthesis of Tabular Financial Data using Generative Adversarial Networks
University essay from KTH/Matematisk statistik; KTH/Matematisk statistikAbstract : Digitalization has led to tons of available customer data and possibilities for data-driven innovation. However, the data needs to be handled carefully to protect the privacy of the customers. Generative Adversarial Networks (GANs) are a promising recent development in generative modeling. READ MORE
