Abstract
In this chapter, some of the many prominent and recent papers in the systemic risk literature are reviewed. In all these papers, financial econometrics methods are used whether to extract the connections between institutions or assets by analyzing the related data or to construct a measure of systemic risk. There are many published survey papers on systemic risk. However, there is still a gap for research whose focus is particularly on the econometric methods behind the calculation of systemic risk indicators. This chapter is an attempt to contribute to filling this gap.
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Notes
- 1.
Figure 1 presents the number of research articles in different years containing the concept “systemic risk.”
- 2.
A list of abbreviations and their meanings is given in Appendix.
- 3.
March 3, 2014, is a date when there were large losses in Russian markets given the political tension related to the annexation of Crimea to Russian Federation.
- 4.
Kritzman et al. (2011) also use principal components analysis to measure systemic risk.
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Appendix: List of Abbreviations
Appendix: List of Abbreviations
Abbreviation | Meaning |
---|---|
ACRA | Analytical Credit Rating Agency |
ARMA | Autoregressive moving average |
CCC-GARCH | Constant conditional correlation GARCH |
CoVaR | Conditional Value at Risk |
DCC-GARCH | Dynamic conditional correlations GARCH |
GARCH | Generalized autoregressive conditional heteroscedasticity |
GGM | Gaussian graphical model |
GJR-GARCH | Glosten-Jagannathan-Runkle GARCH |
HAC | Heteroscedasticity and autocorrelation consistent |
RTSVX | Russian Volatility Index |
SP100 | Standard and Poor’s 100 |
VaR | Value at Risk |
VAR | Vector autoregression |
w.n. | White noise |
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Eratalay, M.H. (2021). Financial Econometrics and Systemic Risk. In: Adıgüzel Mercangöz, B. (eds) Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics. Springer, Cham. https://doi.org/10.1007/978-3-030-54108-8_3
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