DEPARTMENT OF ECONOMICS MASTER THESIS: Another Look at Calendar Anomalies Chatzitzisi Evanthia October 2017 UNIVERSITY OF MACEDONIA DEPARTMENT OF ECONOMICS MASTER THESIS: Another Look at Calendar Anomalies Chatzitzisi Evanthia October 2017 A thesis submitted in partial fulfillment of the requirements for the degree of MASTER IN ECONOMICS in the Interdepartmental Programme of Postgraduate Studies (I.P.P.S.) in Economics with specialization in Applied Economics and Finance Supervisor: Panagiotidis Theodore Referee 1: Fountas Stylianos Referee 2: Katsikas Elias Date of graduation: November 10, 2017 Abstract Calendar anomalies interest researchers in the finance field nearly a century now. In a 27 years perspective reaching 2017, we employ daily S&P500 data in a context of both aggregate and sector analysis to examine a possible focus of abnormalities on specific constituents of the market. Nonlinear models of GARCH and EGARCH are employed in this spirit. The findings reveal that day-of-the-week effects are present in all sectors, resulting to the conclusion that they are part of a wide phenomenon affecting the whole market struc- ture. Moreover, a rolling regression approach is followed to test for sample selection bias. The presence of seasonality is indeed a small proportion of the total sample period. Four factors, namely recession, uncertainty, trading volumeandbearishsentimentarelastlyexaminedforbondingtothepresence of daily structures through the intervention of a logit setup. A cross-factor comparison emerges the interactions between recession and uncertainty with the presence of significant anomalies as the most powerful ones. However, trading volume is doubted to experience an actual connection. Keywords: day-of-the-week effect, GARCH, calendar anomalies, S&P500 In- dex, sectors, rolling regression, logit i To my family Acknowledgements I would like to express my gratitude and appreciation to my supervisor, Professor Panagiotidis Theodore, in the Economics Department at the Uni- versity of Macedonia for his consistent guidance, motivation and support during the planning and development of this master thesis. His willingness to offer useful comments and new insights has been immensely appreciated. I am totally indebted to his general assistance. My grateful thanks are also extended to all the academic faculty and colleagues for the eagerness to share their knowledge and provide valuable tools. IwouldalsoliketothanktheheadquartersoftheS&PDowJonesIndices1. Theircontributionofprovidingthedatasetatthedesireddatesmadefeasible the completion of this study. Last but definitely not least, my deepest gratitude goes to my dear family, my parents, Thoma and Vaia, and my two siblings, Georgia and Nick. I am very thankful for their support and encouragement throughout my years of study, through the process of researching and writing this thesis and my life in general. The accomplishment of this work would be impossible without them. 1www.spdji.com / www.djindexes.com / www.spglobal.com v
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