DefaultRisk.com the web's biggest credit risk modeling resource.

Home Store Glossary Links Site Guide Search
pa_quant_07


Submit Your Paper

Fitch Ratings Jobs

[ Worldwide]

Post Your Résumé
For Recruiters

Featured Book
Paris-Princeton Lectures on Mathematical Finance 2004
Paris-Princeton Lectures on Mathematical Finance 2004 Finance 2004

by Rene A. Carmona, Ivar Ekeland, Arturo Kohatsu-Higa, Jean-Michel Lasry, Pierre-Louis Lions, Huyen Pham, Erik Taflin, Springer, (
October 1, 2007), Paperback, 248 pages

Fitch Quantitative Financial Research (QFR)
Training Discounted for DefaultRisk.com visitors only:

The Mathematics of Credit Derivatives: The Essential Credit Modelling and Pricing Companion
by Philipp J. Schönbucher,
WBS Training, August 2003, DVD / Interactive CD-ROM
Sponsor:
Shop at Amazon.com and support DefaultRisk.com

In Rememberance: World Trade Center (WTC)

Bali, Turan G. and David Weinbaum, "A Comparative Study of Alternative Extreme-value Volatility Estimators", Journal of Futures Markets, Vol. 25, No. 9, (September 2005), pp. 873-892.

Abstract: Recent advances in econometric methodology and newly available sources of data are used to examine empirically the performance of the various extreme-value volatility estimators that have been proposed over the past two decades. Overwhelming support is found for the use of extreme-value estimators when computing daily volatility measures across all assets: Daily extreme-value volatility estimators are both less biased and substantially more efficient than the traditional close-to-close estimator. In the case of weekly and monthly measures, the results still suggest that extreme-value estimators are appropriate, but the evidence is more mixed.

Quantitative Methods books at amazon.com

[Home] [Quantitative Methods Papers]

Support DefaultRisk.com by shopping at Amazon.com

 

 

Home ]

Please contact me with problems or suggestions.
Copyright © 2000-2008 DefaultRisk.com
Last modified: May 15, 2008