Journals / Uluslararası Ekonomi ve Yenilik Dergisi / 2020 / Cilt: 6 - Sayı: 2

Highest Price and Trading Volume Relationship in Stock Indices: A Comporative Approach with Linear Analysis and Frequency Distribution Analysis

Pay Endekslerinde En Yüksek Fiyat Oluşumu ile İşlem Hacmi Arasındaki İlişki: Doğrusal Analizler ve Frekans Dağılımı Analizleri ile Karşılaştırmalı bir Yaklaşım

Pages
157–173
Publication Date
2019-10-17
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings of the study, which analyzed the daily data of the BIST30 index in 2010-2019 period, are obtained by VAR analysis and Granger causality test, as well as frequency distribution of Breitung-Candelon (2006).

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Numerous academic studies have been conducted on the relationship between transaction volume and prices of securities in financial markets, especially in stock markets.
📊
Key Findings & Data:This study differs from its examples in the literature with its two characteristics: 1) the direction of the relationship changes while the price-volume relationship in stock indices is compared with the highest price-volume relationship realized during the day, and (2) the strength of the relationship has been varying in terms of frequency domains.
💡
Conclusion & Impact:The findings of the study, which analyzed the daily data of the BIST30 index in 2010-2019 period, are obtained by VAR analysis and Granger causality test, as well as frequency distribution of Breitung-Candelon (2006).
🔬Design:Research Article
📍Scope:2010-2019 Verileri
⚙️Variables:Fiyat-Hacim · Breitung-Candelon · frekans dağılımı

Abstract

Numerous academic studies have been conducted on the relationship between transaction volume and prices of securities in financial markets, especially in stock markets. This study differs from its examples in the literature with its two characteristics: 1) the direction of the relationship changes while the price-volume relationship in stock indices is compared with the highest price-volume relationship realized during the day, and (2) the strength of the relationship has been varying in terms of frequency domains. The findings of the study, which analyzed the daily data of the BIST30 index in 2010-2019 period, are obtained by VAR analysis and Granger causality test, as well as frequency distribution of Breitung-Candelon (2006).

Özet

Pay piyasaları başta olmak üzere finans piyasalarında menkul kıymetlerin işlem hacmi ve fiyatları arasındaki ilişki üzerine çok sayıda akademik çalışma yapılmıştır. Bu çalışma iki özelliği ile literatürdeki örneklerinden farklılık arzetmektedir: 1) pay senedi endekslerindeki fiyat-hacim ilişkisi, gün içinde gerçekleşen en yüksek fiyat-hacim ilişkisi ile karşılaştırıldığında ilişkinin yönünün değiştiği, (2) frekans dağılımları açısından ele alındığında ise ilişkinin frekansa göre farklılaştığı gösterilmiştir. 2010-2019 döneminde BİST30 endeksinin günlük verilerinin analiz edildiği çalışmanın bulguları, VAR analizi ve Granger nedensellik testi yanında Breitung-Candelon (2006)’un frekans dağılımı nedensellik analizi ile elde edilmiştir.

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Cite This Article

KOY, A., ERDEM, K., AKDAĞ, S. (2019). Highest Price and Trading Volume Relationship in Stock Indices: A Comporative Approach with Linear Analysis and Frequency Distribution Analysis. Uluslararası Ekonomi ve Yenilik Dergisi, Cilt: 6 - Sayı: 2, 157–173. https://ajindex.com/articles/417285

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References (13)

  1. Acar Boyacıoğlu, M., Güvenek, B., ve Alptekin, V. (2010). Getiri Volatilitesi ile İşlem Hacmi Arasındaki İlişki. Muhasebe ve Finansman Dergisi, 48, 200-217.
  2. Ajayi, R. A., Mehdian, S., ve Mougoue, M. (2006). The Empirical Relation between Price Changes and Trading Volumes: Further Evidence from European Stock Markets. Alliance Journal of Business Research, 2009, 3-20
  3. Bohl, M. T., ve Henke, H. (2003). Trading Volume and Stock Market Volatility: The Polish Case. International Review of Financial Analysis, 12(5), 513-525.
  4. Breitung, J., ve Candelon, B. (2006). Testing for Short and Long-Run Causality: A Frequency-Domain Approach. Journal of Econometrics, 132(2), 363-378.
  5. Brock, W. A., ve LeBaron, B. D. (1995). A Dynamic Structural Model for Stock Return Volatility and Trading Volume. National Bureau of Economic Research. Working Paper No. w4988. Brooks, C. (2008). Introductory Econometrics for Finance, 2. ed., New York, Cambridge University. Buhlmann, P. (1998). Extreme Events from The Return-Volume Process: A Discretization Approach for Complexity Reduction. Applied Financial Economics, 8(3), 267-278.
  6. Çelik, S., ve Koy, A. (2019). Chicken-Egg Dilemma for the Relationship Between Price and Volume in Borsa Istanbul. In Behavioral Finance and Decision-Making Models (pp. 46-69).
  7. IGI Global. Clark, P. K. (1973). A Subordinated Stochastic Process Model with Finite Variance For Speculative Prices. Econometrica: Journal of the Econometric Society, 41(1), 135-155.
  8. Chen, G. M., Firth, M., ve Rui, O. M. (2001). The Dynamic Relation between Stock Returns, Trading Volume, and Volatility. Financial Review, 36(3), 153-174.
  9. Chuang, C. C., Kuan, C. M., ve Lin, H. Y. (2009). Causality in Quantiles and Dynamic Stock Return–Volume Relations. Journal of Banking ve Finance, 33(7), 1351-1360.
  10. Copeland, T. E. (1976). A Model of Asset Trading under The Assumption of Sequential Information Arrival. The Journal of Finance, 31(4), 1149-1168.
  11. Darwish, M. (2012). Testing The Contemporaneous and Causal Relationship Between Trading Volume and Return in The Palestine Exchange. International Journal of Economics and Finance, 4(4), 182-192.
  12. Elmas, B., ve Yıldırım, M. (2010). Kriz Dönemlerinde Hisse Senedi Fiyati ile İşlem Hacmi İlişkisi: İMKB’de İşlem Gören Bankacılık Sektör Hisseleri Üzerine Bir Uygulama. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 24(2), 37-46.
  13. Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The journal of Finance, 25(2), 383