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An Integrated Early Warning System for Stock Market Turbulence

Peiwan Wang, Lu Zong, Ye Ma

arXiv 28 Nov 2019 · Econometrics · publishedExpert Systems with Applications (2020) · 32 citations (OpenAlex)

arXiv:1911.12596 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This study constructs an integrated early warning system (EWS) that identifies and predicts stock market turbulence. Based on switching ARCH (SWARCH) filtering probabilities of the high volatility regime, the proposed EWS first classifies stock market crises according to an indicator function with thresholds dynamically selected by the two-peak method. A hybrid algorithm is then developed in the framework of a long short-term memory (LSTM) network to make daily predictions that alert turmoils. In the empirical evaluation based on ten-year Chinese stock data, the proposed EWS yields satisfying results with the test-set accuracy of $96.6%$ and on average $2.4$ days of the forewarned period. The model's stability and practical value in real-time decision-making are also proven by the cross-validation and back-testing.

Citation extraction

68
references
102
in-text mentions
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distinct cited
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Fu, J., Zhou, Q., Liu, Y., Wu, X (2019) Predicting stock market crises using daily stock market valuation and investor sentiment indicators0.81142100%
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5Li, W.X., Chen, C.C.S., French, J.J (2015) Toward an early warning system of financial crises: What can index futures and options tell us?0.73732100%
6Babecký, J., Havránek, T., Mateju, J., Rusnák, M., Smídková, K., Vas… (2014) Banking, debt, and currency crises in developed countries: Stylized facts and early warning indicators0.64422100%
7Jordan, M (1997) Serial order: A parallel distributed processing approach0.64422100%
8Rosenfeld, A., De La Torre, P (1983) Histogram concavity analysis as an aid in threshold selection0.64422100%
9Shannon, C.E (1948) A mathematical theory of communication0.58531100%
10Rand, W.M (1971) Objective criteria for the evaluation of clustering methods0.58531100%

Showing the top 10 of 68 scored citations.