Market Models: A Guide to Financial Data Analysis
By Carol Alexander. 2001
222 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/9606d50aa2132080c1adc2a519bdc5a0960ab3cd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Nikolaos Panigirtzoglou
- Eirini Konstantinidi
- Emilia Tzagkaraki
- George Skiadopoulos
- Rataporn Deesomsak
- Jun Wang
- Frankie Chau
- Carol Alexander
Citations in the corpus
- Political uncertainty and stock market volatility in the Middle East and North African (MENA) countries (2014, background): “Most univariate GARCH models should encounter few convergence problems if model is well-specified and fits data reasonably well (Alexander, 2001).”
- Glossary to ARCH (GARCH) (2008, methodology): “Estimation and inference in the OGARCH model are discussed in detail in Alexander (2001, 2008).”
- A new approach to modeling the dynamics of implied distributions: Theory and evidence from the S&P 500 options (2004, background): “Kamal and Derman (1997), Skiadopoulos et al. (1999), Alexander (2001), Ane´ and Labidi (2001), Fengler et al. (2001), and Cont and da Fonseca (2002) have applied PCA to investigate the dynamics of implied volatilities.”
- Can the evolution of implied volatility be forecasted? Evidence from European and US implied volatility indices (2008, methodology): “It has been used in a number of applications in asset allocation and option pricing and hedging (see e.g., Alexander, 2001, for a description of the method and financial applications).”