Imperial College London
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DrLisaAufegger

Faculty of Medicine, Institute of Global Health Innovation

Honorary Research Fellow
 
 
 
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Contact

 

l.aufegger

 
 
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Location

 

Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hemakom:2016:10.1109/JSTSP.2016.2581299,
author = {Hemakom, A and Chanwimalueang, T and Carrion, A and Aufegger, L and Constantinides, AG and Mandic, DP},
doi = {10.1109/JSTSP.2016.2581299},
journal = {IEEE Journal of Selected Topics in Signal Processing},
pages = {1112--1126},
title = {Financial Stress Through Complexity Science},
url = {http://dx.doi.org/10.1109/JSTSP.2016.2581299},
volume = {10},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Abstract:Financial markets typically undergo periods of prosperity followed by periods of stagnation, and this undulation makes it challenging to maintain market efficiency. The efficient market hypothesis (EMH) states that there exist differences in structural complexity in security prices between regular and abnormal situations. Yet, despite a clear link between market acceleration (cf. recession in security prices) and stress in physical systems, indices of financial stress still have significant scope for further development. The overarching aim of this work is therefore to determine the characteristics of financial indices related to financial stress, and to establish a robust metric for the extent of such `stress'. This is achieved based on intrinsic multiscale analysis which quantifies the so called complexity-loss hypothesis in the context of financial stress. The multiscale sample entropy and our proposed Assessment of Latent Index of Stress methods have successfully assessed financial stress, and have served as a measure to establish an analogy between transitions from `normal' (relaxed) to `abnormal' (stressed) financial periods with the sympatho-vagal balance in humans. Four major stock indices of the US economy over the past 25 years are considered: (i) Dow Jones Industrial Average, (ii) NASDAQ Composite, (iii) Standard & Poor's 500, and (iv) Russell 2000, together with FTSE 100, CAC 40 and exchange rates. Our findings support the EMH theory and reveal high stress for both the periods of Internet bubble burst and sub-prime mortgage crisis.
AU  - Hemakom,A
AU  - Chanwimalueang,T
AU  - Carrion,A
AU  - Aufegger,L
AU  - Constantinides,AG
AU  - Mandic,DP
DO  - 10.1109/JSTSP.2016.2581299
EP  - 1126
PY  - 2016///
SN  - 1932-4553
SP  - 1112
TI  - Financial Stress Through Complexity Science
T2  - IEEE Journal of Selected Topics in Signal Processing
UR  - http://dx.doi.org/10.1109/JSTSP.2016.2581299
UR  - http://hdl.handle.net/10044/1/41466
VL  - 10
ER  -
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