Publication details
Evaluation the Day-of-the-Week Effect Using Long Range Dependence Measures
| Authors | |
|---|---|
| Year of publication | 2012 |
| Type | Article in Proceedings |
| Conference | Proceedings of 12th International Conference on Intelligent Systems Design and Applications (ISDA) |
| MU Faculty or unit | |
| Citation | |
| Web | |
| Doi | http://dx.doi.org/10.1109/ISDA.2012.6416527 |
| Field | Informatics |
| Keywords | Hurst exponent; informational efficiency; financial market; calendar effect; stock return; emerging market |
| Description | The researchers working in the area of financial market investigations have noticed various anomalies which cause deviations from the most widely discussed laws of the financial markets - the efficient market hypothesis. The day-of-the-week effect is one of the types of financial market anomalies, when the particular days of the week have exclusive characteristics of trading activeness or the profitability of the stocks. In this article we explore possibilities to identify the day-of-the-week effect in emerging financial markets by applying Hurst exponent measure which is primarily designed for identification and measurement of long range dependence and information efficiency of time series. |
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