BIST100 Endeksinde İşlem Hacmi ve İşlem Miktarında Hava Durumu Anomalisi

Abstract

Neo-klasik iktisadın üzerinde durduğu noktalardan birisi, klasik iktisattan ödünç aldığı bireyin rasyonelliği ilkesidir. Bu ilke ile insanların acı ve zevklerinde, farklı malların kendisine sağladığı faydanın ölçülmesinde ve gelecek ihtiyaçlarının ayarlanmasında rasyonel olduğu kabul edilmiştir. Ancak hisse senedi borsalarında görülen piyasa anomalileri insanın rasyonelliğine dair beyan edilen bu ilkenin sorgulanmasına neden olmuştur. Bireysel yatırımcı davranışını etkileyen sebepler ve bu sebeplerin sonucu olarak karşımıza çıkan piyasa anomalileri farklı araştırmacılar tarafından farklı şekillerde açıklanmaya çalışılmıştır. Bu çalışmalar davranışsal finans kavramını literatüre katmıştır. Ancak piyasa etkinliğinin bozulmasına sebep olan faktörlerden bazıları insan davranışlarını etkileyen faktörlere kadar araştırılması gerekmektedir. Bu faktörlerden en bilineni hava durumu koşullarıdır. Bu çalışmada BIST100 endeksinde Şubat 2011 ile Eylül 2015 tarihleri arasında gerçekleşen işlem hacmi ve işlem miktarı ile hava durumu koşulları ele alınmıştır. Çalışmanın analizleri öncelikle, güneşli, bulutlu, yağmurlu, karlı şeklinde sınıflandırmada hava durumu koşulları bakımından işlem hacmi ve işlem miktarlarının ortalamaları arasında anlamlı bir fark olup olmadığını tespiti için SPSS 22.0 paket programı ile yapılacaktır.

Keywords

• Hava durumu anomalisi,BIST100 işlem hacmi,BIST100 işlem miktarı,Yatırımcı Davranışı

Trading Size and Trading Volume in BIST100 Index and Weather Anomaly

Abstract

One of the points of neoclassical economics is the rationality of the individual which is borrowed from classical economics. With this principle, it has been assumed that people are rational in their suffering, pleasure, perceived benefit and planning of future needs. However, market anomalies in the stock market have led to the questioning of this principle which advocates human rationality. The reasons that affect individual investor behavior and the resulting market anomalies have been tried to be explained by researchers in different ways. These studies have included the concept of behavioral finance in the literature. In order to understand the factors that lead to the deterioration of market efficiency, it is necessary to examine the factors affecting human behavior. One of the most common of these factors is the weather conditions. In this study, trading volume and trading size and weather conditions in BIST100 index between February 2011 and September 2015 were considered. For the analysis of the work, weather conditions will be classified as sunny, cloudy, rainy, and snowy. Afterwards, SPSS 22.0 program will be used to determine whether there is a meaningful difference between the average of transaction volume and transaction amounts.

Keywords

• Weather Anomalies,Decision Making,BIST100,Investor Behavior

References

1. Allen, A. M. ve Fisher, G. J. (1978). Ambient Temperature Effects on Paired Associate Learning, Ergonomics 21, 2, pp. 95-101.
2. Auliciems, A. (1978). Mood dependency on low intensity atmospheric variability, International Journal of Biometeorology. 22, 20–32.
3. Barnston, A. (1988). The effect of weather on mood, productivity, and frequency of emotional crisis in a temperate continental climate, International Journal of Biometeorology. 32, 134–143,.
4. Bell, P. A. ve Baron, R. A. (1976). Aggression And Heat: The Mediating Role of Negative Affect, Journal of Applied Social Psychology. 6, pp. 18-30.
5. Bell, P. A. (1981). Physiological Comfort, Performance And Social Effects Oh Heat Stress, Journal of Social Issues, 37, pp. 71-94.
6. Cao, M. ve Wei, J. (2005). Stock Market Returns: A Note on Temperature Anomaly, Journal of Banking and Finance, 29, pp. 1559-73.
7. Cesarini, D., Johannesson, M., Lichtenstein, P. ve Wallace, B. (2009). Heritability of Overconfidence. Journal of The European Economic Association 7. 2-3, 617-627.
8. Denissen, J., Butalid, L., Penke, L., ve van Aken, M. (2008). The Effects Of Weather On Daily Mood: A Multilevel Approach, Emotion, 8, 662–667.

9. Fletcher, R. (1988). Föhn illness” and human biometeorology in the Chinook area of Canada. International Journal of Biometeorology, 32, 168–175.
10. Goetzmann, W. N. ve Zu, N. (20025). Rain or Shine: Where is the Weather Effect. European Financial Management, (5), 559-578.
11. Gündüz, L. ve Hatemi-J. Aç (2014). Stock Price and Volume Relation in Emerging Markets. Emerging Markets Finance and Trade, Cilt.41, Sayı.1, (29-44).
12. Güngör, S. Finansal Yatırım Kararlarında Genetik Etkiler: Duygusal Ön Yargılar Analizi. Trakya Üniversitesi Sosyal Bilimler Enstitüsü, İşletme Anabilim Dalı, Doktora Tezi, 2017.
13. Hicmstra, C. ve Jones, J. (1994). Testing for Linear and Nonlinear Granger Causality in the Price Volume Relationship. Journal of Finance, Cilt.49, Sayı.5, (1639-1664).
14. Hirshleifer, D. ve Shumway, T. (2003). Good Day Sunshine: Stock Returns and The Weather. Journal of Finance, 58, pp. 1009-32.
15. Howarth, E. ve Hoffman M. (1984). A multidimensional approach to the relationship between mood and weather, British Journal of Psychology., 75, 15–23.
16. Hribersek, E., Van de Voorde, H., Poppe, H., ve Casselman, J. (1987). Influence of the day of the week and the weather on people using a telephone support system, British Journal of Psychology. 150, 189–192.
17. Jang, K., Lam, R., Livesley, W., ve Vernon, P. (1997). The relationship between seasonal mood change and personality: More apparent then real?, Acta Psychiatrica Scandinavica., 95, 539–543.
18. Kahneman D. Knetsch J. L. ve Thaler R. H. (1991). The Endowment Effect, Loss Aversion, and Status Quo Bias. Journal of Economic Perspectives. Volume 5, No: 1, 193-206.
19. Kahneman, D. ve Tversky, A. (1974). Judgment under Uncertainty: Heuristics and Biases. Science, New Series, Vol. 185, No. 4157, 1124-1131.
20. Lee, B. S. ve Rui, O. (2002). The Dynamic Relationship Between Stock Returns and Trading Volume: Domestic and Cross-Country Evidence. Journal of Banking & Finance, (26), 1, (51-78).
21. Loewenstein, G. (2000), Emotions in Economic Theory and Economic Behavior, American Economic Review, 65, pp. 426-432.
22. Loughran, T. ve Schultz, P. (2004). Weather, Stock Returns, and the Impact of Localized Trading Behavior. The Journal of Financial and Quantitative Analysis Vol. 39, No. 2, 343-364.
23. Murray, G., Hay, D., ve Armstrong, S. (1995). Personality Factors İn Seasonal Affective Disorder: Is Seasonality And Aspect Of Neuroticism? Personality and Individual Differences. 19, 613–617.
24. Palinkas, L. (2001). Mental And Cognitive Performance İn The Cold, International Journal of Circumpolar Health, 60, 430–439.
25. Persinger, M. (1975). Lag responses in mood reports to changes in the weather matrix, International Journal of Biometeorology., 19, 108–114.
26. Rashid, A. (2007). Stock Prices and Trading Volume: An Assessment for Linear and Nonlinear Granger Causality”, Journal of Asian Economics, Cilt.18, Sayı.4, (595-612).
27. Saunders, E. M. (1993). Stock Prices and Wall Street Weather. American Economic Review, 83, pp. 1337-45.
28. Sulman, F. (1980). Keine Angst mehr vor dem Föhn: die Wetterfühligkeit und ihre Behandlung, Umsch. Frankf. a/M, 80, 291–292, 294, 295.Thomson, W. (1979). A Change Of Air, Charles Scribner, New York.
29. Tromp, S. (1979). Studies on the origin and biological effects of the Chinook in western Canada, in: Biometeorological survey, vol. 1, part A: Human Biometeorology, edited by: Tromp, S. and Bouma, J., Heyden, London, 191–194.
30. Watson, D. (2000). Situational and environmental influence on mood. In: Mood and Temperament. (Guilford Press, New York).
31. Wyndham, H. C. (1969). Adaptation to Heat And Cold, Environmental Research, 2, pp. 442-469.
32. Yılancı,V. ve Bozoklu, Ş. (2014). Türk Sermaye Piyasasında Fiyat ve İşlem hacmi İlişkisi: Zamanla Değişen Asimetrik Nedensellik Analizi”, Ege Akademik Bakış, Cilt.14, Sayı.2, (211-220).
33. Yoon, M. S. ve Kang, S. H. (2009). Weather Effects On Returns: Evidence From The Korean Stock Market., Physica A: Statistical Mechanics and its Applications, Volume 388, Issue 5, 1 March 2009, Pages 682-690.