Essays about: "optioner"
Showing result 1 - 5 of 43 essays containing the word optioner.
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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. Pricing and Hedging American-Style Options withDeep Learning: Algorithmic implementation
University essay from Uppsala universitet/Analys och partiella differentialekvationerAbstract : This thesis aims at evaluating and implementing Longstaff & Schwarz approach for approximating the value of American options. American options are generally hard to value, exercised at any time up to its expiration and moreover, there is no closed- form solution for an American option’s price. READ MORE
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4. HR options and their valuation – a case study
University essay from KTH/Fastighetsekonomi och finansAbstract : This thesis introduces and discusses the notion that real options theory can be applied to investment decisions when the value lies in human capital. This approach contributes in circumventing traditional problems which arise during valuation of intangible assets. READ MORE
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5. Predicting the Options Expiration Effect Using Machine Learning Models Trained With Gamma Exposure Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The option expiration effect is a well-studied phenome, however, few studies have implemented machine learning models to predict the effect on the underlying stock market due to options expiration. In this paper four machine learning models, SVM, random forest, AdaBoost, and LSTM, are evaluated on their ability to predict whether the underlying index rises or not on the day of option expiration. READ MORE
