Managing Risks in Financial Markets: A Market Simulation Approach

Author(s):  
Olukorede Eliza Abioye ◽  
Babis Theodoulidis ◽  
George Dimitrkopoulos ◽  
Nikolaos ◽  
Stuart Hyde ◽  
...  
2016 ◽  
Vol 43 (6) ◽  
pp. 954-965 ◽  
Author(s):  
Guglielmo Maria Caporale ◽  
Luis Alberiko Gil-Alana ◽  
Alex Plastun

Purpose The purpose of this paper is to provide some new empirical evidence on the weekend effect (one of the best known anomalies in financial markets) in Ukrainian futures prices. The analysis uses various statistical techniques. Design/methodology/approach The analysis uses various statistical techniques (average analysis, Student’s t-test, dummy variables, and fractional integration) to test for the presence of this anomaly, and then a trading simulation approach to establish whether it can be exploited to make extra profits. Findings The statistical evidence points to abnormal positive returns on Fridays, and a trading strategy based on this anomaly is shown to generate annual profits of up to 25 per cent. The implication is that the Ukrainian stock market is inefficient. Originality/value This paper provides some new empirical evidence on the weekend effect (one of the best known anomalies in financial markets) in Ukrainian futures prices. The analysis uses various statistical techniques (average analysis, Student’s t-test, dummy variables, and fractional integration) to test for the presence of this anomaly, and then a trading simulation approach to establish whether it can be exploited to make extra profits. The statistical evidence points to abnormal positive returns on Fridays, and a trading strategy based on this anomaly is shown to generate annual profits of up to 25 per cent. The implication is that the Ukrainian stock market is inefficient.


Author(s):  
Jakob de Haan ◽  
Sander Oosterloo ◽  
Dirk Schoenmaker

Author(s):  
Marek Capinski ◽  
Ekkehard Kopp

Author(s):  
Jakob de Haan ◽  
Sander Oosterloo ◽  
Dirk Schoenmaker

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