Essays about: "Heston Parameter Estimates"
Found 4 essays containing the words Heston Parameter Estimates.
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1. Financial Modelling Using Fractional Processes And The Wiener Chaos Expansion
University essay from KTH/Matematik (Avd.)Abstract : The aim of this thesis is to simulate stochastic models that are driven by a fractional Brownian motion process and to apply these methods to financial applications related to yield rate and asset price modelling. Several rough volatility processes are used to model the asset price and yield dynamics. READ MORE
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2. Consistent pricing of VIX options
University essay from Lunds universitet/Matematisk statistikAbstract : This thesis is an extension from the thesis "To what degree is the VIX benchmark computed by CBOE representative of its definition?" presented on June 16 in 2018. The primary purpose of this thesis is to investigate a consistent way of Fourier pricing with the Heston model and whether or not the estimates can be improved by extending the amount of CIR processes in order to catch the non-linear behavior of VIX options. READ MORE
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3. Implementation of Heston-Nandi GARCH model on OMXS30
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This paper evaluates the performance of Heston and Nandi’s closed form option pricing model (2000) on the OMXS30 (Swedish stock index), pre and post the financial crisis. The main purpose is to investigate if the more realistic assumptions of Heston and Nandi yield more accurate price estimates, than the computationally more simplistic Black-Scholes model. READ MORE
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4. Pricing Derivatives: Implementing Heston and Nandi's (2000) Model on the Swedish Stock Index
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This thesis is based on Heston and Nandi’s (2000) paper. The aim is to check how their closed-form discrete-time GARCH option pricing model performs on Swedish data, and if there are any significant changes to its performance when estimating it via maximum likelihood using the Normal- and the Student-t distribution. READ MORE