Sökning: "Option-pricing"
Visar resultat 16 - 20 av 142 uppsatser innehållade ordet Option-pricing.
16. Pricing Put Options with Multilevel Monte Carlo Simulation
Kandidat-uppsats, Mälardalens högskola/Akademin för utbildning, kultur och kommunikationSammanfattning : Monte Carlo path simulations are common in mathematical and computational finance as a way of estimating the expected values of a quantity such as a European put option, which is functional to the solution of a stochastic differential equation (SDE). The computational complexity of the standard Monte Carlo (MC) method grows quite large quickly, so in this thesis we focus on the Multilevel Monte Carlo (MLMC) method by Giles, which uses multigrid ideas to reduce the computational complexity. LÄS MER
17. Implied volatility with HJM–type Stochastic Volatility model
Master-uppsats, Mälardalens högskola/Akademin för utbildning, kultur och kommunikationSammanfattning : In this thesis, we propose a new and simple approach of extending the single-factor Heston stochastic volatility model to a more flexible one in solving option pricing problems. In this approach, the volatility process for the underlying asset dynamics depends on the time to maturity of the option. LÄS MER
18. Multilevel Monte Carlo Simulation for American Option Pricing
Kandidat-uppsats, Mälardalens högskola/Akademin för utbildning, kultur och kommunikationSammanfattning : In this thesis, we center our research around the analytical approximation of American put options with the Multilevel Monte Carlo simulation approach. The focus lies on reducing the computational complexity of estimating an expected value arising from a stochastic differential equation. LÄS MER
19. Option pricing in the binomial model
Kandidat-uppsats, Uppsala universitet/Tillämpad matematik och statistikSammanfattning : .... LÄS MER
20. Volatility Forecasting Performance of GARCH Models : A Study on Nordic Indices During COVID-19
Master-uppsats, Umeå universitet/NationalekonomiSammanfattning : Volatility forecasting is an important tool in financial economics such as risk management, asset allocation and option pricing since an understanding of future volatility can help professional and private investors minimize their losses. The purpose of this paper is to investigate the volatility forecasting performance of symmetric and asymmetric GARCH models on Nordic indices during COVID-19. LÄS MER