How Useful Are Implied Distributions? Evidence from Stock Index Options
By C. Peake. 2000
54 citations recorded by the source corpus.
Subfields: Finance
View Paper: https://www.semanticscholar.org/paper/6288e4136716f06f4b7f724f101791a5d65b1094
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Nikolaos Panigirtzoglou
- Rob Bliss
- George Skiadopoulos
- Kian Guan Lim
- Da Zhi
- Allan M. Malz
- Matthias R. Fengler
- K. Hadri
Citations in the corpus
- A new approach to modeling the dynamics of implied distributions: Theory and evidence from the S&P 500 options (2004, background): “tion Pricing, Principal Components Analysis, Value-at-Risk.”
- The Generalized Extreme Value (GEV) Distribution, Implied Tail Index and Option Pricing (2011, unknown): “2 As noted by Jackwerth and Rubinstein (1996) in a lognormal model of assets prices, the probability of a stock market crash with some 28% loss of equity values is 10, an event which is unlikely to happen even in the life time of the universe.”
- Testing the Stability of Implied Probability Density Functions (2002, methodology): “For instance, H€ ordahl (1999) applied the Longstaff–Schwartz model to Swedish interest rates.”
- Pricing options using implied trees: Evidence from FTSE‐100 options (2002, background): “Another recent study on FTSE-100 index option is done by Gemmill and Saflekos (2000)[15].”