Essays about: "option derivatives"
Showing result 1 - 5 of 50 essays containing the words option derivatives.
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1. Dispersion Trading: A Way to Hedge Vega Risk in Index Options
University essay from KTH/Matematik (Avd.)Abstract : Since the introduction of derivatives to the financial markets, volatility trading has emerged as a method for investors to make money in every market condition. In parallel with introducing derivatives to the financial markets, hedging methods have emerged and are today essential instruments for the liquidity providers active in the markets. READ MORE
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2. The Predictive Power of Implied Volatility in Option Pricing
University essay from KTH/Matematisk statistikAbstract : During the last few years, financial derivatives have been growing in trading volume. There seem to be a high demand and supply of derivatives on the market and one common derivative is the option contract. The option contract is frequently the subject of studies and many different pricing models have been created for options. READ MORE
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3. Parameter Stability in Additive Normal Tempered Stable Processes for Equity Derivatives
University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikationAbstract : This thesis focuses on the parameter stability of additive normal tempered stable processes when calibrating a volatility surface. The studied processes arise as a generalization of Lévy normal tempered stable processes, and their main characteristic are their time-dependent parameters. READ MORE
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4. Pricing of Embedded Options: Implementing Stochastic Interest Rates & Stochastic Spread
University essay from Lunds universitet/Matematisk statistikAbstract : Given the current market climate, in an era of negative interest-rates, the Hull-White model has regained popularity in the eyes of investors. This thesis aims to extend this model to incorporate credit risk, to allow the modelling of credit derivatives such as diff swaps, defaultable corporate bonds and credit default swaps. READ MORE
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5. Option Modelling by Deep Learning
University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistikAbstract : In this thesis we aim to provide a fully data driven approach for modelling financial derivatives, exclusively using deep learning. In order for a derivatives model to be plausible, it should adhere to the principle of no-arbitrage which has profound consequences on both pricing and risk management. READ MORE