Publication Type
Journal Article
Version
submittedVersion
Publication Date
12-2019
Abstract
This paper proposes a new model for capturing discontinuities in the underlying financial environment that can lead to abrupt falls, but not necessarily sustained monotonic falls, in asset prices. This notion of price dynamics is consistent with existing understanding of market crashes, which allows for a mix of market responses that are not universally negative. The model may be interpreted as a martingale composed with a randomized drift process that is designed to capture various asymmetric drivers of market sentiment. In particular, the model is capable of generating realistic patterns of price meltdowns and bond yield inflations that constitute major market reversals while not necessarily being always monotonic in form. The recursive and moving window methods developed in Phillips, Shi and Yu (2015a,b; PSY), which were designed to detect exuberance in financial and economic data, are shown to have detective capacity for such meltdowns and expansions. This characteristic of the PSY tests has been noted in earlier empirical studies by the present authors and other researchers but no analytic reasoning has yet been given to explain why methods intended to capture the expansionary phase of a bubble may also detect abrupt and broadly sustained collapses. The model and asymptotic theory developed in the present paper together explain this property of the PSY procedures. The methods are applied to analyse S&P 500 stock prices and sovereign risk in European Union countries over 2001-16 using government bond yields and credit default swap (CDS) premia. A pseudo real-time empirical analysis of these data shows the effectiveness of the monitoring strategy in capturing key events and turning points in market risk assessment.
Keywords
Collapse, Crash, Exuberance, Recursive test, Rolling test, Sovereign risk
Discipline
Econometrics
Research Areas
Econometrics
Publication
Oxford Bulletin of Economics and Statistics
Volume
81
Issue
6
First Page
1336
Last Page
1361
ISSN
0305-9049
Identifier
10.1111/obes.12307
Publisher
Wiley: 24 months
Citation
PHILLIPS, Peter C. B. and SHI, SP.
Detecting financial collapse and ballooning sovereign risk. (2019). Oxford Bulletin of Economics and Statistics. 81, (6), 1336-1361.
Available at: https://ink.library.smu.edu.sg/soe_research/2350
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1111/obes.12307