Essays about: "deep hedging"
Showing result 1 - 5 of 7 essays containing the words deep hedging.
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1. 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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2. Powering up profits - Integrating Power Purchase Agreements and Battery Systems for Nordic Power Futures
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : This master’s thesis aims to assess the profitability and the factors impacting the profitability of entering a short position in financial derivative contracts on the Nordic power market while procuring electricity through a pay-as-produced power purchase contract and on the day-ahead (DA) market, simultaneously the strategy utilizes a battery storage system to mitigate the effects of price spikes. The research adopted a mixed-method approach by combining quantitative analysis with qualitative findings. READ MORE
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3. Pricing and Hedging of Financial Instruments using Forward–Backward Stochastic Differential Equations : Call Spread Options with Different Interest Rates for Borrowing and Lending
University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikationAbstract : In this project, we are aiming to solve option pricing and hedging problems numerically via Backward Stochastic Differential Equations (BSDEs). We use Markovian BSDEs to formulate nonlinear pricing and hedging problems of both European and American option types. READ MORE
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4. 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
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5. Deep Learning and the Heston Model:Calibration & Hedging
University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistikAbstract : The computational speedup of computers has been one of the de ning characteristics of the 21st century. This has enabled very complex numerical methods for solving existing problems. As a result, one area that has seen an extraordinary rise in popularity over the last decade is what is called deep learning. READ MORE