Publication Type

PhD Dissertation

Version

publishedVersion

Publication Date

1-2018

Abstract

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.

Keywords

Structural breaks, Functional principal component analysis, OPEC and the energy market, Freight options, Implied volatility, Fundamental analysis

Degree Awarded

PhD in Business (Finance)

Discipline

Finance | Finance and Financial Management

Supervisor(s)

LIM, Kian Guan

Publisher

Singapore Management University

City or Country

Singapore

Copyright Owner and License

Author

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