Essays about: "least-squares Monte Carlo"
Showing result 16 - 20 of 20 essays containing the words least-squares Monte Carlo.
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16. Pricing swing options in the electricity market
University essay from Lunds universitet/Matematisk statistikAbstract : The thesis deals with how to price swing options in the electricity market by using a least squares Monte Carlo method. This is a simulation method which uses a backwards moving algorithm where the optimal decision is calculated at every time step. READ MORE
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17. Estimation, model selection and evaluation of regression functions in a Least-squares Monte-Carlo framework
University essay from Linköpings universitet/Produktionsekonomi; Linköpings universitet/Tekniska högskolanAbstract : This master thesis will investigate one solution to the problem issues with nested stochastic simulation arising when the future value of a portfolio need to be calculated. The solution investigated is the Least-squares Monte-Carlo method, where regression is used to obtain a proxy function for the given portfolio value. READ MORE
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18. Diffuse reflectance spectroscopy as a tool to evaluate liver tissue
University essay from Lunds universitet/Matematisk fysik; Lunds universitet/AtomfysikAbstract : The shape of a diffuse reflectance spectra can provide knowledge about tissue composition. By analysing this spectra one can, with the right evaluation methods, find out information about the tissue. READ MORE
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19. Game contingent claims
University essay from KTH/Matematisk statistikAbstract : Abstract Game contingent claims (GCCs), as introduced by Kifer (2000), are a generalization of American contingent claims where the writer has the opportunity to terminate the contract, and must then pay the intrinsic option value plus a penalty. In complete markets, GCCs are priced using no-arbitrage arguments as the value of a zero-sum stochastic game of the type described in Dynkin (1969). READ MORE
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20. A Study of Impulse Response System Identification
University essay from Karlstads universitet/Fakulteten för teknik- och naturvetenskapAbstract : In system identification, different methods are often classified as parametric or non-parametric methods. For parametric methods, a parametric model of a system is considered and the model parameters are estimated. For non-parametric methods, no parametric model is used and the result of the identification is given as a curve or a function. READ MORE