Measuring financial contagion:a copula approach
By Juan Carlos Meléndez Rodríguez. 2007
875 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/78adf94d9519df6e3fd61e49e4ae705bed38d320
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Andrew J. Patton
- Fotios Petropoulos
- Konstantinos Nikolopoulos
- Rob J Hyndman
- Nikolaos Kourentzes
- Vassilios Assimakopoulos
- Evangelos Spiliotis
- Spyros Makridakis
In Finance
- Andrew J. Patton
- Claudia Czado
- Yu Wei
- Tatsuyoshi Okimoto
- Dirk G. Baur
- David E. Rapach
- Francesco Ravazzolo
- F. Busetti
Citations in the corpus
- Copula-Based Models for Financial Time Series (2009, methodology): “Rodriguez (2007) was the rst to apply copulas to contagion, which he studies with a Markov switching copula model.”
- Effectiveness of copula-extreme value theory in estimating value-at-risk: empirical evidence from Asian emerging markets (2012, background): “Recent empirical studies applying copulas, e.g., Chen and Fan (2006); Kole, Koedijk, and Verbeek (2007); Okimoto (2008); Patton (2006a and b); and Rodriguez (2007), focus on developed countries but pay less attention to emerging markets, in particular the dependence between stock markets and…”
- Tail Risk in Hedge Funds: A Unique View from Portfolio Holdings (2017, background): “(8)Longin and Solnik (2001) and Rodriguez (2007) apply the lower tail dependence coefficient to analyze financial contagion between different international equity markets. Boyson, Stahel, and Stulz (2010) use a similar technique to study contagion across different hedge fund styles.”
- Modeling International Financial Returns with a Multivariate Regime Switching Copula (2009, positive): “Our dependence model can be thought of as a multivariate extension of the model in Rodriguez (2007) or as an extension to more realistic dependence of the Pelletier (2006) model.”
- Dependence structure and extreme comovements in international equity and bond markets (2011, positive): “We can therefore write (3.1) equivalently as 14 See Nelsen (1999) for a general presentation.”
- Copula Methods for Forecasting Multivariate Time Series (2013, methodology): “…integration between seventeen European stock market indices; Heinen and Rengifo (2007) use copulas to model multivariate time series of count data; Rodriguez (2007) uses copulas to study nancial contagion; Dearden, et al. (2008) and Bonhomme and Robin (2009) use copulas to model the dynamics in…”
- A revisit to the dependence structure between the stock and foreign exchange markets: A dependence-switching copula approach (2013, positive): “To capture the above dependence switching, this paper proposes a Markov-switching copula model in which the unobserved state variable affects both copula functions and marginal models (Rodriguez, 2007; Okimoto, 2008).”