𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A comparative study of alternative extreme-value volatility estimators

✍ Scribed by Turan G. Bali; David Weinbaum


Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
147 KB
Volume
25
Category
Article
ISSN
0270-7314

No coin nor oath required. For personal study only.

✦ Synopsis


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.


📜 SIMILAR VOLUMES


Forecasting performance of extreme-value
✍ Vipul; Joshy Jacob 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 149 KB

## Abstract This study evaluates the forecasting performance of extreme‐value volatility estimators for the equity‐based Nifty Index using two‐scale realized volatility. This benchmark mitigates the effect of microstructure noise in the realized volatility. Extreme‐value estimates with relatively s

A comparative study of range-based stock
✍ Neda Todorova; Sven Husmann 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 166 KB 👁 1 views

We thank the editor, Robert Webb, and an anonymous referee for their helpful comments. We also thank Thorben Lubnau, Tyge-F. Kummer, and the participants of the 2nd International Finance Conference of the Indian Institute of Management, Calcutta for their suggestions.

Robust detection of a weak signal with r
✍ Georgy Shevlyakov; Jae Won Lee; Kyung Min Lee; Vladimir Shin; Kiseon Kim 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 241 KB

## Abstract On finite samples redescending __M__‐estimators outperform linear bounded Huber's __M__‐estimators. To provide stable detection of a weak signal of arbitrary shape, robust Neyman–Pearson detection rules based on redescending __M__‐estimators of location are introduced and studied. It is

A COMPARATIVE STUDY OF HIGH-ACCURACY FRE
✍ IGNACIO SANTAMARÍA; CARLOS PANTALEÓN; JESÚS IBAÑEZ 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 202 KB

This paper presents a comparative study of three high-accuracy frequency estimation methods for application in vibration analysis of rotating machinery. The "rst two techniques are non-parametric methods based on the fast Fourier transform (FFT) : the interpolated fast Fourier transform (IFFT) and t

Scale of interest versus scale of estima
✍ Anirban Basu; Bhakti V. Arondekar; Paul J. Rathouz 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 221 KB

## Abstract We investigate how the scale of estimation in risk‐adjustment models for health‐care costs affects the covariate effect, where the scale of interest for the covariate effect may be different from the scale of estimation. As an illustrative example, we use claims data to estimate the inc

A Study of Value-at-Risk Based on M-Esti
✍ Farhat Iqbal; Kanchan Mukherjee 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 119 KB 👁 2 views

## ABSTRACT In this paper, we investigate the performance of a class of M‐estimators for both symmetric and asymmetric conditional heteroscedastic models in the prediction of value‐at‐risk. The class of estimators includes the least absolute deviation (LAD), Huber's, Cauchy and B‐estimator, as well