An Empirical Analysis of the Turn-of-the-month and January Anomalies in Five Emerging Stock Markets
| dc.Location | 2013 HG 1601 K46 | |
| dc.Supervisor | Dr Elango Rengasamy | |
| dc.contributor.author | Khouri, Yousuf | |
| dc.date.accessioned | 2013-11-13T10:35:29Z | |
| dc.date.available | 2013-11-13T10:35:29Z | |
| dc.date.issued | 2013-02 | |
| dc.description | DISSERTATION WITH DISTINCTION | |
| dc.description.abstract | The Efficient Market Hypothesis has been tested using various statistical models and approaches. The findings in the existing literature provide mixed strong evidence that financial markets are efficient and inefficient. Calendar anomalies are among the famous techniques that have attracted many academicians and investors to exploit, and find strong evidence of potential superior returns. These anomalies are cyclical patterns found in stock average returns that have seasonal affects and are based on the calendar. Examples of calendar anomalies include the January effect, the turn of the month and the Monday effect. The existence of calendar anomalies has been accepted in the academic field as many studies have found strong evidence which can enable market participants make excess returns. This research attempts to re-examine the Efficient Market Hypothesis through exploiting the turn-of-the-month anomaly and the January effect in five emerging markets using a seven-year data from 2005 to 2011. The findings show that there is no enough evidence of both anomalies in the five emerging markets. | en_US |
| dc.identifier.other | 100058 | |
| dc.identifier.uri | http://bspace.buid.ac.ae/handle/1234/370 | |
| dc.language.iso | en | en_US |
| dc.publisher | The British University in Dubai (BUiD) | en_US |
| dc.subject | turn-of-the-month | en_US |
| dc.subject | january anomalies | en_US |
| dc.subject | stock markets | en_US |
| dc.subject | emerging markets | en_US |
| dc.title | An Empirical Analysis of the Turn-of-the-month and January Anomalies in Five Emerging Stock Markets | en_US |
| dc.type | Dissertation | en_US |