## Abstract This article reports new empirical results on the information content of implied volatility, with respect to modeling and forecasting the volatility of individual firm returns. The 50 firms with the highest option volume on the Chicago Board Options Exchange between 1988 and 1995 are ex
Finnish turn-of-the-month effects: Returns, volume, and implied volatiliy
โ Scribed by Teppo Martikainen; Jukka Perttunen; Vesa Puttonen
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 613 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0270-7314
No coin nor oath required. For personal study only.
โฆ Synopsis
Recently, Martikainen, Perttunen, and Ziemba (henceforth, MPZ) (1 994) investigated the regularity of the TOM effect in 24 stock markets and 12 different regional indices of the world. They reported that the TOM effect exists for most countries as well as for regions. However, the TOM effect seemed not to exist in some small stock markets, such as those of Finland, Mexico, New Zealand, and Australia.
We are grateful to Lasse Jaaskelainen, Arto Laakkonen, Ricardo Leal, the participants of the 1 s t Annual Conference on Multinational Financial Issues in Atlantic City, and two anonymous JFM referees for useful comments. All remaining errors are ours. 'In his pioneering work, found that the returns of U.S. Stocks were larger at the TOM than in the rest of the month for the period of 1963-1981. His results have been supported
๐ SIMILAR VOLUMES
## Abstract This study provides a new and economically plausible explanation for turnโofโtheโmonth and intramonth anomalies. It is suggested that these anomalies arise from clustered information, namely from important macroeconomic news announcements, which are released systematically at a certain
## Abstract This paper investigates seasonal anomalies in the mean stock returns of Germany, the UK and the US during preโWorld War I (WWI) period. The anomalies studied are month of the year effect and the January effect. The empirical research is conducted using a nonโlinear GARCHโ__t__ model, an