Essays in commodities and freight markets
Chapter 1: Structural Changes in Functional Curves: Estimation and Testing Abstract: This paper considers the estimation and testing of structural changes in functional curves that occurs at an unknown date. The functional principal component analysis is applied to the random functional curves, deco...
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sg-smu-ink.etd_coll-11672019-05-17T08:29:40Z Essays in commodities and freight markets YAP, Nelson Chapter 1: Structural Changes in Functional Curves: Estimation and Testing Abstract: This paper considers the estimation and testing of structural changes in functional curves that occurs at an unknown date. The functional principal component analysis is applied to the random functional curves, decomposing them into interpretable simple latent functions and random scalars. We model the random scalars using a simple autoregressive model and test for a change in parameters that occur at an unknown date. This method is applied to the crude oil futures market to estimate and date possible structural breaks during OPEC announcement periods from 1984 to 2017. 2018-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/etd_coll/167 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1167&context=etd_coll http://creativecommons.org/licenses/by-nc-nd/4.0/ Dissertations and Theses Collection (Open Access) eng Institutional Knowledge at Singapore Management University Structural breaks Functional principal component analysis OPEC and the energy market Freight options Implied volatility Fundamental analysis Finance Finance and Financial Management |
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Structural breaks Functional principal component analysis OPEC and the energy market Freight options Implied volatility Fundamental analysis Finance Finance and Financial Management YAP, Nelson Essays in commodities and freight markets |
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Chapter 1: Structural Changes in Functional Curves: Estimation and Testing
Abstract: This paper considers the estimation and testing of structural changes in functional curves that occurs at an unknown date. The functional principal component analysis is applied to the random functional curves, decomposing them into interpretable simple latent functions and random scalars. We model the random scalars using a simple autoregressive model and test for a change in parameters that occur at an unknown date. This method is applied to the crude oil futures market to estimate and date possible structural breaks during OPEC announcement periods from 1984 to 2017. |
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YAP, Nelson |
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YAP, Nelson |
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Essays in commodities and freight markets |
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Essays in commodities and freight markets |
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Essays in commodities and freight markets |
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Essays in commodities and freight markets |
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Essays in commodities and freight markets |
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essays in commodities and freight markets |
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Institutional Knowledge at Singapore Management University |
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2018 |
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https://ink.library.smu.edu.sg/etd_coll/167 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1167&context=etd_coll |
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