How accurate is the square-root-of-time rule in scaling tail risk: A global study

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題名:	How accurate is the square-root-of-time rule in scaling tail risk: A global study
作者:	Wang,JN;Yeh,JH;Cheng,NYP
貢獻者:	財務金融學系
關鍵詞:	EMPIRICAL-EVIDENCE;VOLATILITY;RETURNS;MARKET;JUMPS
日期:	2011
上傳時間:	2012-03-27 19:03:20 (UTC+8)
出版者:	國立中央大學
摘要:	The square-root-of-time rule (SRTR) is popular in assessing multi-period VaR; however, it makes several unrealistic assumptions. We examine and reconcile different stylized factors in returns that contribute to the SRTR scaling distortions. In complementing the use of the variance ratio test, we propose a new intuitive subsampling-based test for the overall validity of the SRTR. The results indicate that serial dependence and heavy-tailedness may severely bias the applicability of SRTR, while jumps or volatility clustering may be less relevant. To mitigate the first-order effect from time dependence, we suggest a simple modified-SRTR for scaling tail risks. By examining 47 markets globally, we find the SRTR to be lenient, in that it generally yields downward-biased 10-day and 30-day VaRs, particularly in Eastern Europe, Central-South America, and the Asia Pacific. Nevertheless, accommodating the dependence correction is a notable improvement over the traditional SRTR. (C) 2010 Elsevier B.V. All rights reserved.
關聯:	JOURNAL OF BANKING & FINANCE
顯示於類別:	[財務金融學系] 期刊論文

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