Abstract
This paper investigates whether equity market volatility in one major market is related to volatility elsewhere. This paper models the daily conditional volatility of equity market wide returns as a GARCH-(1,1) process. Such a model will capture the changing nature of the conditional variance through time. It is found that the correlation between the conditional variances of major equity markets has increased substantially over the last two decades. This supports work which has been undertaken on conditional mean returns which indicates there has been an increase in equity market integration.
Original language | English |
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Pages (from-to) | 341-345 |
Number of pages | 5 |
Journal | Applied Economics Letters |
Volume | 7 |
Issue number | 5 |
DOIs | |
Publication status | Published - May 2000 |
Keywords
- equity market volatility
- market
- daily conditional volatility
- equity market
- conditional variances
- conditional mean returns
- equity market integration