The impact of non-trading periods on the measurement of volatility

Yaw Huei Wang, Yu Jen Hsiao

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Based upon the theory of the "arrival of news", the main purpose of this paper is to investigate the impact of non-trading periods on the measurement of volatility for the S&P 500, FTSE 100, and TAIEX indices. Using an adaptation of the GJR (1,1) model, we find that both weekday holiday periods and half-day trading periods have significant impacts on the estimation of volatility for the S&P 500 and FTSE 100 indices. On the other hand, weekends have significant impacts for the TAIEX index. Our findings imply that for the UK and US markets, much less relevant information is produced during weekends, while more relevant information continues to be produced during other types of non-trading periods. However, the weekend volatility of the Taiwan market is specially driven because the US macro news is announced on Fridays and the trading time of the US market is later than that of the Taiwan market without any overlapping.

Original languageEnglish
Pages (from-to)607-620
Number of pages14
JournalReview of Pacific Basin Financial Markets and Policies
Volume13
Issue number4
DOIs
Publication statusPublished - Dec 1 2010
Externally publishedYes

Fingerprint

News
Taiwan
Overlapping
Holidays

Keywords

  • GARCH
  • GJR
  • intraday
  • non-trading periods
  • Volatility

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics

Cite this

The impact of non-trading periods on the measurement of volatility. / Wang, Yaw Huei; Hsiao, Yu Jen.

In: Review of Pacific Basin Financial Markets and Policies, Vol. 13, No. 4, 01.12.2010, p. 607-620.

Research output: Contribution to journalArticle

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