id um-stud-7774
recordtype eprints
spelling um-stud-77742017-11-02T08:34:47Z Stock market declines and market fundamentals / Ho Yew Joe Ho, Yew Joe HC Economic History and Conditions This research investigates if market fundamentals are significant in predicting stock market declines in an ex-ante fashion. The dates of stock market declines are determined via a list of ex-post models which comprise the approaches of parametric, non-parametric, semi-parametric and scale-invariant. This includes the Markov-switching model (with various extractions of probabilities for predictability tests), naïve moving average, Brys-Boschan algorithm (the Lunde & Timmermann variant and Candelon, Piplak & Straetman variant), and the integrated identifications with the JLS model and JLS "negative bubble" model. This research also improvises the existing methodologies and introduces the semi-parametric model of “naïve moving average negative return” in identifying bear market and in using the “dichotomised smoothed probabilities” which is transformed from the output of the Markov-switching model for predictability tests. Market fundamentals such as dividend growth, change in the cyclically adjusted price earnings ratio, change in Commerce Department composite index of 11 leading indicators, term spreads (both 3M-10Y and 5M-10Y), Chicago Fed National Activity Index and ISM manufacturing survey (inventories index) are found to be among the most consistent best predictors for stock market declines. The significance of these market fundamentals varies according to different forecasting horizons. 2017-07-26 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/7774/1/All.pdf application/pdf http://studentsrepo.um.edu.my/7774/2/1_Cover_page_%26_first_page.pdf application/pdf http://studentsrepo.um.edu.my/7774/4/3_Abstract.pdf application/pdf http://studentsrepo.um.edu.my/7774/5/4_Acknowledgements.pdf application/pdf http://studentsrepo.um.edu.my/7774/15/Write_Up_%2D_Full_Final.pdf application/pdf http://studentsrepo.um.edu.my/7774/6/5_Table_of_Contents.pdf application/pdf http://studentsrepo.um.edu.my/7774/7/6_List_of_Figures.pdf application/pdf http://studentsrepo.um.edu.my/7774/8/7_List_of_Tables.pdf application/pdf http://studentsrepo.um.edu.my/7774/9/8_List_of_Abbreviations.pdf application/pdf http://studentsrepo.um.edu.my/7774/10/9_List_of_Appendices.pdf application/pdf http://studentsrepo.um.edu.my/7774/11/10_References.pdf application/pdf http://studentsrepo.um.edu.my/7774/12/11_Appendix_A.pdf application/pdf http://studentsrepo.um.edu.my/7774/13/12_Appendix_B.pdf application/pdf http://studentsrepo.um.edu.my/7774/14/13_List_of_Publications.pdf application/pdf http://studentsrepo.um.edu.my/7774/56/2_Original_Literary_Work_Declaration.pdf Ho, Yew Joe (2017) Stock market declines and market fundamentals / Ho Yew Joe. PhD thesis, University of Malaya. http://studentsrepo.um.edu.my/7774/
repository_type Digital Repository
institution_category Local University
institution University Malaya
building UM Students Repository
collection Online Access
topic HC Economic History and Conditions
spellingShingle HC Economic History and Conditions
Ho, Yew Joe
Stock market declines and market fundamentals / Ho Yew Joe
description This research investigates if market fundamentals are significant in predicting stock market declines in an ex-ante fashion. The dates of stock market declines are determined via a list of ex-post models which comprise the approaches of parametric, non-parametric, semi-parametric and scale-invariant. This includes the Markov-switching model (with various extractions of probabilities for predictability tests), naïve moving average, Brys-Boschan algorithm (the Lunde & Timmermann variant and Candelon, Piplak & Straetman variant), and the integrated identifications with the JLS model and JLS "negative bubble" model. This research also improvises the existing methodologies and introduces the semi-parametric model of “naïve moving average negative return” in identifying bear market and in using the “dichotomised smoothed probabilities” which is transformed from the output of the Markov-switching model for predictability tests. Market fundamentals such as dividend growth, change in the cyclically adjusted price earnings ratio, change in Commerce Department composite index of 11 leading indicators, term spreads (both 3M-10Y and 5M-10Y), Chicago Fed National Activity Index and ISM manufacturing survey (inventories index) are found to be among the most consistent best predictors for stock market declines. The significance of these market fundamentals varies according to different forecasting horizons.
format Thesis
author Ho, Yew Joe
author_facet Ho, Yew Joe
author_sort Ho, Yew Joe
title Stock market declines and market fundamentals / Ho Yew Joe
title_short Stock market declines and market fundamentals / Ho Yew Joe
title_full Stock market declines and market fundamentals / Ho Yew Joe
title_fullStr Stock market declines and market fundamentals / Ho Yew Joe
title_full_unstemmed Stock market declines and market fundamentals / Ho Yew Joe
title_sort stock market declines and market fundamentals / ho yew joe
publishDate 2017
url http://studentsrepo.um.edu.my/7774/
http://studentsrepo.um.edu.my/7774/1/All.pdf
http://studentsrepo.um.edu.my/7774/2/1_Cover_page_%26_first_page.pdf
http://studentsrepo.um.edu.my/7774/4/3_Abstract.pdf
http://studentsrepo.um.edu.my/7774/5/4_Acknowledgements.pdf
http://studentsrepo.um.edu.my/7774/15/Write_Up_%2D_Full_Final.pdf
http://studentsrepo.um.edu.my/7774/6/5_Table_of_Contents.pdf
http://studentsrepo.um.edu.my/7774/7/6_List_of_Figures.pdf
http://studentsrepo.um.edu.my/7774/8/7_List_of_Tables.pdf
http://studentsrepo.um.edu.my/7774/9/8_List_of_Abbreviations.pdf
http://studentsrepo.um.edu.my/7774/10/9_List_of_Appendices.pdf
http://studentsrepo.um.edu.my/7774/11/10_References.pdf
http://studentsrepo.um.edu.my/7774/12/11_Appendix_A.pdf
http://studentsrepo.um.edu.my/7774/13/12_Appendix_B.pdf
http://studentsrepo.um.edu.my/7774/14/13_List_of_Publications.pdf
http://studentsrepo.um.edu.my/7774/56/2_Original_Literary_Work_Declaration.pdf
first_indexed 2018-09-06T08:33:43Z
last_indexed 2018-09-06T08:33:43Z
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