The Implied Risk Neutral Density Dynamics: Evidence from the S&P TSX 60 Index

Author

Souissi, Nessim

Source

Journal of Applied Mathematics

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-06-11

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Mathematics

Abstract EN

The risk neutral density is an important tool for analyzing the dynamics of financial markets and traders’ attitudes and reactions to already experienced shocks by financial markets as well as the potential ones.

In this paper, we present a new method for the extraction information content from option prices.

By eliminating bias caused by daily variation of contract maturity through a completely nonparametric technique based on kernel regression, we allow comparing evolution of risk neutral density and extracting from time continuous indicators that detect evolution of traders’ attitudes, risk perception, and belief homogeneity.

This method is useful to develop trading strategies and monetary policies.

American Psychological Association (APA)

Souissi, Nessim. 2017. The Implied Risk Neutral Density Dynamics: Evidence from the S&P TSX 60 Index. Journal of Applied Mathematics،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1169948

Modern Language Association (MLA)

Souissi, Nessim. The Implied Risk Neutral Density Dynamics: Evidence from the S&P TSX 60 Index. Journal of Applied Mathematics No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1169948

American Medical Association (AMA)

Souissi, Nessim. The Implied Risk Neutral Density Dynamics: Evidence from the S&P TSX 60 Index. Journal of Applied Mathematics. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1169948

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1169948