ABSTRACT This study examines the pre-CLNY (Chinese Lunar New Year) effect in the pre-holiday returns of the Hang Seng index by using simplest generalized autoregressive conditional heteroskedasticty - GARCH (1, 1) model. The period investigated is from 2002 to 2007. This study reveals two major findings. First, by testing the returns on trading days preceding 11 Hong Kong public holidays, empirical results indicates that pre-holiday returns are significant higher than mean returns of any other trading days and therefore implying unusual returns patterns for Hang Seng index on trading days prior to holidays closing. The second results of this paper are consistent with prior research in that there is a strong pre-CLNY effect in many Asian st...
This study uncovers that there exists asymmetrical market reaction on the positive and negative news...
This paper investigates the relation between lunar phases and stock market returns of 48 countries. ...
This paper investigates the relation between lunar phases and stock market returns of 48 countries. ...
Abstract This study tests the presence of the day of the week effect, the monthly effect and the ho...
[[abstract]]This paper examines the existence/nonexistence of the Chinese Lunar New Year effect in H...
Within the context of the mainland Chinese (Shanghai and Shenzhen) and Hong Kong market places, we i...
This paper examines the day of the week effect, the month of the year effect and the half-month effe...
This study investigates the seasonal regularities in Chinese stock market, practically tests the exi...
The study investigates the existence of seasonal anomaly by testing four calendar anomalies; day-of-...
Our paper examines the calendar effects in Chinese stock market, particularly monthly and daily effe...
2006 This Working Paper should not be reported as representing the views of the IMF. The views expre...
The presence of the calendar effect has been recognized in equity markets throughout the world. Most...
Substantial past studies have shown the presence of holiday effect in the Singapore stock market. Th...
This paper conducts a study of behavioral finance by relating human’s mood and lunar phases. Startin...
The Chinese stock market is a remarkable emerging market, the two stock markets Shanghai and Shenzhe...
This study uncovers that there exists asymmetrical market reaction on the positive and negative news...
This paper investigates the relation between lunar phases and stock market returns of 48 countries. ...
This paper investigates the relation between lunar phases and stock market returns of 48 countries. ...
Abstract This study tests the presence of the day of the week effect, the monthly effect and the ho...
[[abstract]]This paper examines the existence/nonexistence of the Chinese Lunar New Year effect in H...
Within the context of the mainland Chinese (Shanghai and Shenzhen) and Hong Kong market places, we i...
This paper examines the day of the week effect, the month of the year effect and the half-month effe...
This study investigates the seasonal regularities in Chinese stock market, practically tests the exi...
The study investigates the existence of seasonal anomaly by testing four calendar anomalies; day-of-...
Our paper examines the calendar effects in Chinese stock market, particularly monthly and daily effe...
2006 This Working Paper should not be reported as representing the views of the IMF. The views expre...
The presence of the calendar effect has been recognized in equity markets throughout the world. Most...
Substantial past studies have shown the presence of holiday effect in the Singapore stock market. Th...
This paper conducts a study of behavioral finance by relating human’s mood and lunar phases. Startin...
The Chinese stock market is a remarkable emerging market, the two stock markets Shanghai and Shenzhe...
This study uncovers that there exists asymmetrical market reaction on the positive and negative news...
This paper investigates the relation between lunar phases and stock market returns of 48 countries. ...
This paper investigates the relation between lunar phases and stock market returns of 48 countries. ...