The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns
Open accessAbstract
This paper investigates the presence of asymmetric conditional second moments in international equity and bond returns. The analysis is carried out through an asymmetric version of the Dynamic Conditional Correlation model of Engle (2002). Widespread evidence is found that national equity index return series show strong asymmetries in conditional volatility, while little evidence is seen that bond index returns exhibit this behaviour. However, both bonds and equities exhibit asymmetry in conditional correlation. Worldwide linkages in the dynamics of volatility and correlation are examined. It is also found that beginning in January 1999, with the introduction of the Euro, there is significant evidence of a structural break in correlation, although not in volatility. The introduction of a fixed exchange rate regime leads to near perfect correlation among bond returns within EMU countries. However, equity return correlation both within and outside the EMU also increases after January 1999.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Generalized autoregressive conditional heteroskedasticity
Bollerslev, T. (1986) · Journal of Econometrics · doi:10.1016/0304-4076(86)90063-1 · Cited by 22,254
Engle, R. F. (1982) · Econometrica · doi:10.2307/1912773 · Cited by 20,795
Self-citationConditional Heteroskedasticity in Asset Returns: A New Approach
Nelson, D. B. (1991) · Econometrica · doi:10.2307/2938260 · Cited by 10,236
On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks
GLOSTEN, L. R., JAGANNATHAN, R., & RUNKLE, D. E. (1993) · The Journal of Finance · doi:10.1111/j.1540-6261.1993.tb05128.x · Cited by 9,008
Multivariate Simultaneous Generalized ARCH
Engle, R. F., & Kroner, K. F. (1995) · Econometric Theory · doi:10.1017/s0266466600009063 · Cited by 4,487
Self-citationExpected stock returns and volatility
French, K. R., Schwert, G. W., & Stambaugh, R. F. (1987) · Journal of Financial Economics · doi:10.1016/0304-405x(87)90026-2 · Cited by 4,107
Measuring and Testing the Impact of News on Volatility
ENGLE, R. F., & NG, V. K. (1993) · The Journal of Finance · doi:10.1111/j.1540-6261.1993.tb05127.x · Cited by 3,611
Self-citationModelling the Coherence in Short-Run Nominal Exchange Rates: A Multivariate Generalized Arch Model
Bollerslev, T. (1990) · The Review of Economics and Statistics · doi:10.2307/2109358 · Cited by 3,512
A Capital Asset Pricing Model with Time-Varying Covariances
Bollerslev, T., Engle, R. F., & Wooldridge, J. M. (1988) · Journal of Political Economy · doi:10.1086/261527 · Cited by 3,138
Self-citationPolitis, D. N., & Romano, J. P. (1994) · Journal of the American Statistical Association · doi:10.1080/01621459.1994.10476870 · Cited by 2,649
Cited by
Financialization, crisis and commodity correlation dynamics
Silvennoinen, A., & Thorp, S. (2013) · Journal of International Financial Markets, Institutions and Money · doi:10.1016/j.intfin.2012.11.007 · Cited by 650
Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin
Hussain Shahzad, S. J., Bouri, E., Roubaud, D., & Kristoufek, L. (2020) · Economic Modelling · doi:10.1016/j.econmod.2019.07.023 · Cited by 513
Silvennoinen, A., & Teräsvirta, T. (2009) · Handbook of Financial Time Series · doi:10.1007/978-3-540-71297-8_9 · Cited by 452
Dependence structure and extreme comovements in international equity and bond markets
Garcia, R., & Tsafack, G. (2011) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2011.01.003 · Cited by 267
Should investors include Bitcoin in their portfolios? A portfolio theory approach
Platanakis, E., & Urquhart, A. (2020) · The British Accounting Review · doi:10.1016/j.bar.2019.100837 · Cited by 265
Metadata
- Authors
- Cappiello, L., Engle, R. F., & Sheppard, K.
- Venue
- Journal of Financial Econometrics
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-08-09
- Volume
- 4
- Issue
- 4
- Pages
- 537-572
- ISSN
- 1479-8409 (ISSN-L)
- 1479-8417
- OpenAlex
- W2018364810
- Cited by
- 1,767
- References
- 38
- FWCI
- 99.91
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns. https://app.cochat.ai/papers/10.1093/jjfinec/nbl005
- The paper
- Cappiello, L., Engle, R. F., & Sheppard, K. (2006). Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns. Journal of Financial Econometrics. https://doi.org/10.1093/jjfinec/nbl005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.