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Tests for time series linearity
Melicherčík, Martin ; Prášková, Zuzana (advisor) ; Hendrych, Radek (referee)
Title: Testing for linearity in time series Author: Martin Melicherčík Department: Department of Probability and Mathematical Statistics Supervisor: doc. RNDr. Zuzana Prášková, CSc., Department of Probability and Mathematical Statistics Abstract: In the first part of the thesis, a necessary theoretical base from time series analysis is explained, which is consequently used to formulate several tests for linearity. According to variety of approaches the theory includes wide range of knowledge from correlation and spectral analysis and introduces some basic nonlinear models. In the second part, linearity tests are described, classified and compared both theoretically and practically on simulated data from several linear and nonlinear models. At the end, some scripts and hints in R language are introduced that could be used when applying tests to real data. Keywords: linear time series, bispectrum, testing for linearity, nonlinear models
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Tests for time series linearity
Melicherčík, Martin ; Prášková, Zuzana (advisor) ; Hendrych, Radek (referee)
Title: Testing for linearity in time series Author: Martin Melicherčík Department: Department of Probability and Mathematical Statistics Supervisor: doc. RNDr. Zuzana Prášková, CSc., Department of Probability and Mathematical Statistics Abstract: In the first part of the thesis, a necessary theoretical base from time series analysis is explained, which is consequently used to formulate several tests for linearity. According to variety of approaches the theory includes wide range of knowledge from correlation and spectral analysis and introduces some basic nonlinear models. In the second part, linearity tests are described, classified and compared both theoretically and practically on simulated data from several linear and nonlinear models. At the end, some scripts and hints in R language are introduced that could be used when applying tests to real data. Keywords: linear time series, bispectrum, testing for linearity, nonlinear models
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Martingale measures and pricing of financial derivatives
Melicherčík, Martin ; Dostál, Petr (advisor) ; Haman, Jiří (referee)
Title: Martingale measures and pricing of financial derivatives Author: Martin Melicherčík Department: Department of Probability and Mathematical Statistics Supervisor: Mgr. Petr Dostál, Ph.D., Department of Probability and Mathema- tical Statistics Abstract: The theory written in this work explains basic tools for setting justified price of financial derivatives. Jusified pricing is based on principal of balance, which means, that in advance no side has bigger chance to profit than other. Because of this characteristic, the main pricing tool in the work are martingale measures, which respect the state of balance. From the point of view of martingale measures random processes keep their constant expected value, so we can never expect them to deflect to one side or another. The important part of the work, besides basics of martingales, is Douglas theorem, which answers the question of our ability to theoretically set the justified price of any financial derivative. In the last parts, there are also some manuals and examples how to determine the justified price. Keywords: martingale, martingale pricing, Douglas theorem, predictable process 1
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