Implied Volatility Indexes and Daily Value at Risk Models
By P. Giot. 2005
116 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/419811c3e59d6bce64200ee1d3728e118d686154
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In Economics and Econometrics
- Emilia Tzagkaraki
- Eirini Konstantinidi
- Pilar Corredor
- George Skiadopoulos
- Sandra Ferreruela
- Natividad Blasco
- L. Pham
In Finance
- Emilia Tzagkaraki
- Eirini Konstantinidi
- Pilar Corredor
- George Skiadopoulos
- Sandra Ferreruela
- Natividad Blasco
- Carol Alexander
- Leonardo M. Nogueira
Citations in the corpus
- Can the evolution of implied volatility be forecasted? Evidence from European and US implied volatility indices (2008, methodology): “…studies have already explored the relationship of implied volatility with a number of economic variables in a contemporaneous setting (see e.g., Franks and Schwartz, 1991, Fleming et al., 1995, Whaley, 2000, Davidson et al., 2001, Mixon, 2002, Simon, 2003, Bollen and Whaley, 2004, and Giot, 2005b).”
- The importance of fear: investor sentiment and stock market returns (2017, unknown): “Whaley (2000), Simon and Wiggins (2001) and Giot (2005) use a VIX as a sentiment proxy and report both a large negative contemporaneous sentiment–return relationship, and that such measures are reliable contrarian indicators of market returns.”
- Does herding affect volatility? Implications for the Spanish stock market (2012, background): “The results were still significant although the coefficients rapidly decrease when n increases. significant power to predict future volatility in the stock market (Fleming et al. 1995, Simon 2003, Giot 2005).”