Istanbul Management Journal

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DOI :10.26650/imj.2019.86.0005   IUP :10.26650/imj.2019.86.0005    Tam Metin (PDF)

Hisse Senedi Getirileri İle Finansal Oranlar Arasındaki İlişkinin Araştırılmasında Bir Panel ARDL Uygulaması

Cemile Özgür

Bu araştırmada, Borsa İstanbul’da hisseleri işlem gören ve BİST Sınai endeksinin birer üyesi olan yüz adet firma belirlenmiş ve bu firmaların 2012–2017 çeyrek dönemlerine ait hisse senedi getirileri ile finansal oranları arasındaki ilişki incelenmiştir. Bu amaçla, son yirmi yıl içerisinde geliştirilen ve Panel Autoregressive Distributed Lag (Panel-ARDL) olarak adlandırılan model kullanılarak, bağımlı (hisse senedi getirileri) ve bağımsız (finansal oranlar) değişkenlerin gecikmeli değerleri regresyon modeline dahil edilmiş ve oluşturulan panel veri seti analiz edilmiştir. Bu yöntemin geliştirilmesi ile tüm değişkenlerin gecikmeli değerlerinin de hisse senedi getirileri üzerindeki açıklama ve tahmin gücünün araştırılması mümkün kılınmıştır. Bu araştırma ile elde edilen bulgulara göre, hisse senedi getirileri ile cari oran, alacak devir hızı, aktif devir hızı, net kar marjı ve özsermaye/maddi duran varlıklar oranları arasında uzun dönemli; kaldıraç oranı, aktif devir hızı, net kar marjı, alacak devir hızı oranları arasında ise kısa dönemli olmak üzere, hisse senedi getirileri ile finansal oranlar arasında iki farklı türde ilişkinin mevcut olduğu görülmüştür. 

Anahtar Kelimeler: Hisse senedi getirileri, Finansal oranlar, Uzun ve kısa dönemli ilişki, Panel veri analizi, Panel ARDL, BİST
DOI :10.26650/imj.2019.86.0005   IUP :10.26650/imj.2019.86.0005    Tam Metin (PDF)

A Panel ARDL Application on the Research of the Relationships between Stock Returns and Financial Ratios

Cemile Özgür

In this research, one hundred firms that are a member of BIST Industrial Index are selected and the relationship between their stock returns and financial ratios are examined for the quarterly period of 2012-2017. For this purpose, lagged values of dependent (stock returns) and independent (financial ratios) variables are included in a regression model and the panel data is analyzed by employing Panel Autoregressive Distributed Lag (Panel-ARDL) Model that is developed during the last twenty years. The development of this method made it possible to investigate the stock return explanation and forecasting power of lagged values of all variables. According to the results obtained within this research, the existence of two different types of relationships between stock returns and financial ratios; consisting a statistically significant long-term relationship between stock returns and current ratio, accounts receivable turnover rate, asset turnover rate, net profit margin and shareholders’ equity/tangible fixed assets ratio and a statistically significant short-term relationship between stock returns and leverage ratio, asset turnover rate, net profit margin and accounts receivable turnover rate are observed. 

Anahtar Kelimeler: Stock returns, Financial ratios, Long and short term relation, Panel data analysis, Panel ARDL, BIST

GENİŞLETİLMİŞ ÖZET


Research Problem

The main aim of the study was to be able to contribute to the growing literature on the existence of the relationships between stock returns and financial ratios by employing an analysis methodology that differentiates short-term temporary relations from the long-term ones. 

Research Questions

Is there a significant relationship between stock returns and lagged values of returns? 

Is there a significant relationship between stock returns and their financial ratios and/or lagged values of financial ratios?

If there is; is it possible to differentiate the relationship into short-term and longterm components?

Literature Review

The purpose of the literature review was to conduct a comprehensive study in order to identify the existent research on the predictability of stock returns. Seminal works were found and classified into three main classes. The first class constituted early studies advocating the impossibility of predicting stock returns because of random walk and efficient market hypothesis. Studies mentioning about the temporary and permanent components of stock returns and advocating the predictability of returns constituted the second class. Finally, studies including the findings of predictability of returns with some macroeconomic variables and/or financial ratios were classified into the third class. Focusing on the relationships between stock returns and financial ratios, the main research findings of the literature are; there are statistically significant relationships between stock returns and financial ratios with some studies mentioning about the stock return predictive ability of financial ratios. Nevertheless, identification of a certain type of financial ratio, the extent of the relationship and a specific methodology remains open. 

Methodology

In this research, a quantitative analysis methodology is employed. Stock returns and eight financial ratios of one hundred industrial firms, listed in BIST Industrial Index, are collected by using financial services software called Finnet. Using the obtained quarterly data, a panel data set is constructed for the period of 2012 – 2017. For the econometric model, the stock returns are described as a function of financial ratios and the data set is analyzed by applying an advanced method of dynamic panel estimation called Panel Autoregressive Distributed Lag (Panel-ARDL) developed by Pesaran, Shin and Smith (1999, 2001). The Model is a cointegration technique which is consistent to correct the heterogeneity bias of panel estimation and flexible enough to allow long-run coefficient homogeneity at the same time by allowing for short-run coefficient heterogeneity.

Results and Conclusions

According to the empirical results, the estimated error correction coefficient (φi ) of the developed ARDL (1,1,1,1,1,1,1,1,1) Model is negative and statistically significant which indicates the presence of a working error correction mechanism and cointegration between variables. From the estimated long-run coefficients; the Model suggests the existence of a positive and statistically significant long-term relationship between stock returns and asset turnover rate, net profit margin and shareholders’ equity/tangible fixed assets ratios, and also the existence of a negative and significant long-term relationship between stock returns, current ratio and accounts receivable turnover rate. Additionally, four statistically significant short-term variable coefficients are estimated suggesting; a positive and significant short-term relationship between stock returns and accounts receivable turnover rate, and a negative and significant shortterm relationship between stock returns and leverage ratio, asset turnover rate and net profit margin. The main implication of this research is that it shows the importance of considering the effects of periodic differences (long-term or short-term) additional to the lagged values of dependent and independent variables while analyzing the relationship between stock returns and financial ratios.



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Referanslar

  • Aberbanell, J. S. & Bushee, B. J. (1998). Abnormal returns to a fundamental analysis strategy. The Accounting Review, 73(1), 19–45. google scholar
  • Alexakis, C., Patra, T., & Poshakwale, S. (2010). Predictability of stock returns using financial statement ınformation: Evidence on semi-strong efficiency of emerging greek stock market. Applied Financial Economics, 20(16), 1321–1326. google scholar
  • Aktaş, R. & Karan, M. B. (1999). Multivariate statistical modelling for the classification of the shares traded at the IMKB as to their average earnings. Kara Harp Okulu Bilim Dergisi, 3, 44–55. google scholar
  • Aktaş, R. & Karan, M. B. (2000). Predicting stock returns using fundamental ınformation and multivariate statistical modelling: An empirical study on ıstanbul stock exchange. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 18(2), 433–449. google scholar
  • Beaver, W. H., Lambert, R. A. & Morse, D. (1980). The ınformation content of security prices. Journal of Accounting and Economics, 2, 3–28. google scholar
  • Canbaş, S., Düzakın, H. & Kılıç, S. B. (2002). Fundamental and macroeconomic ınformation for common stock valuation: The turkish case. Yapı Kredi Economic Review, 13(1), 55–64. google scholar
  • Collins, D. W., Kothari, S. P. & Rayburn, J. D. (1987). Firm Size and the ınformation content of prices with respect to earnings. Journal of Accounting and Economics, 9, 111–38. google scholar
  • Cowles, A. & Jones, H. (2002). Some a posteriori probabilities in stock market action. Econometrica, 5(3), 280–294. google scholar
  • Dehuan, J. & Jin, Z. (2008). Firm performance and stock returns: An empirical study of the top performing stocks listed on Shanghai stock exchange. Academy of Accounting and Financial Studies Journal, 12(1), 79–85. google scholar
  • Demirgüneş, K. (2015). Determinants of target dividend payout ratio: a panel autoregressive distributed lag analysis. International Journal of Economics and Financial Issues, 5(2), 418–426. google scholar
  • Ege, İ. ve Bayrakdaroğlu, A. (2009). İMKB şirketlerinin hisse senedi getiri başarılarının lojistik regresyon tekniği ile analizi. Zonguldak Karaelmas University Journal of Social Sciences, 5(10), 139–158. google scholar
  • Fama, E. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25, 383–417. google scholar
  • Fama, E. F.&e French, K. R. (1988). Permanent and temporary components of stock prices. Journal of Political Economy, 96(2), 246–273. google scholar
  • Fama, E. F. & French, K. R. (1992). The cross-section of expected stock returns. Journal of Finance, 47, 427–465. google scholar
  • Freeman, R. N. (1987). The association between accounting earnings and security returns for large and small firms. Journal of Accounting and Economics, 9, 195–228. google scholar
  • Güler, A. ve Özyurt, H. (2011). Merkez bankası bağımsızlığı ve reel ekonomik performans: panel ardl analizi. Ekonomi Bilimleri Dergisi, 3(2), 11–20. google scholar
  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46, 1251–1272. google scholar
  • Holthausen, W. & Larcker, D. (1992). The prediction of stock returns using financial statement ınformation. Journal of Accounting and Economics, 15, 373–411. google scholar
  • Im, K. S., Pesaran, M. H. & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115, 53–74. google scholar
  • Kao, C. D. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90, 1–44. google scholar
  • Kendall, M. & Hill, A. (2002). The analysis of economic time-series-part I: Prices. Journal of the Royal Statistical Society, Series A, 116 (1) (1953), 11–34. google scholar
  • Korkmaz, Ö. ve Karaca, S. S. (2013). Firma performansını etkileyen faktörler ve türkiye örneği. Ege Akademik Bakış, 13(2), 169–179. google scholar
  • Levin, A., Lin, C. F. & Chu, C. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108, 1–24. google scholar
  • Lewellen, J. (2002). Predicting Returns with Financial Ratios. MIT Sloan School of Management Working Paper 4374-02. google scholar
  • Maddala, G. S. & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61, 631–652. google scholar
  • Martikainen, T. (1989). Modelling stock price behaviour by financial ratios, Rivista di Matematica per le Scienze Economiche e Sociali - Anno 12, Fascicolo 1 (Decisions in Economics and Finance, 12(1)), 119-138. google scholar
  • Martinez, I. (1999). Fundamental and macroeconomic ınformation for the security prices valuation: The french case. Managerial Finance, 12, 17–30. google scholar
  • Mukherji S., Manjeet, S. D. & Yong, H. K. (1997). A fundamental analysis of korean stock returns. Financial Analysts Journal, 53(3), 75–80. google scholar
  • Navas, R. D. (2017). Accounting Fundamentals and Volatility in the Euronext 100 index. Doktora Tezi, Universidade Da Beira Interior, Ciências Sociais e Humanas, 19.05.2018. https://ubibliorum.ubi.pt/bitstream/10400.6/4459/1/Accounting%20Fundamentals%20and%20Volatility%20in%20the%20Euronext%20100%20index%20-%20Definitiva.pdf google scholar
  • Ou, J. A. & Penman, S. H. (1989). Accounting measurement, price-earnings ratio, and the ınformation content of security prices. Journal of Accounting Research, 27, 111–144. google scholar
  • Öz, B., Ayrıçay, Y. ve Kalkan, G. (2011). Finansal oranlarla hisse senedi getirilerinin tahmini: İMKB 30 endeksi hisse senetleri üzerine diskriminant analizi ile bir uygulama. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 11(3), 51–64. google scholar
  • Pesaran, M. H., Shin, Y. & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621–634. google scholar
  • Pesaran, M. H., Shin, Y. & Smith, R. P. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. google scholar
  • Pontiff, J. & Schall, L. D. (1998). Book-to-market ratios as predictors of market returns. Journal of Financial Economics, 49(2), 141–160. google scholar
  • Poterba, J. & Summers, L. (1988). Mean-Reversion in stock prices: Evidence and implications. Journal of Financial Economics, 22, 27–59. google scholar
  • Setiono, B. & Strong, N. (1998). Predicting stock returns using financial statement ınformation. Journal of Business Finance and Accounting, 25(5-6), 631–657. google scholar
  • Working, H. (2002). A random-difference series for use in the analysis of time series. Journal of the American Statistical Association, 29(185) (1934), 11–24. google scholar

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APA

Özgür, C. (0001). Hisse Senedi Getirileri İle Finansal Oranlar Arasındaki İlişkinin Araştırılmasında Bir Panel ARDL Uygulaması. Istanbul Management Journal, 0(86), 97-112. https://doi.org/10.26650/imj.2019.86.0005


AMA

Özgür C. Hisse Senedi Getirileri İle Finansal Oranlar Arasındaki İlişkinin Araştırılmasında Bir Panel ARDL Uygulaması. Istanbul Management Journal. 0001;0(86):97-112. https://doi.org/10.26650/imj.2019.86.0005


ABNT

Özgür, C. Hisse Senedi Getirileri İle Finansal Oranlar Arasındaki İlişkinin Araştırılmasında Bir Panel ARDL Uygulaması. Istanbul Management Journal, [Publisher Location], v. 0, n. 86, p. 97-112, 0001.


Chicago: Author-Date Style

Özgür, Cemile,. 0001. “Hisse Senedi Getirileri İle Finansal Oranlar Arasındaki İlişkinin Araştırılmasında Bir Panel ARDL Uygulaması.” Istanbul Management Journal 0, no. 86: 97-112. https://doi.org/10.26650/imj.2019.86.0005


Chicago: Humanities Style

Özgür, Cemile,. “Hisse Senedi Getirileri İle Finansal Oranlar Arasındaki İlişkinin Araştırılmasında Bir Panel ARDL Uygulaması.” Istanbul Management Journal 0, no. 86 (Dec. 2024): 97-112. https://doi.org/10.26650/imj.2019.86.0005


Harvard: Australian Style

Özgür, C 0001, 'Hisse Senedi Getirileri İle Finansal Oranlar Arasındaki İlişkinin Araştırılmasında Bir Panel ARDL Uygulaması', Istanbul Management Journal, vol. 0, no. 86, pp. 97-112, viewed 23 Dec. 2024, https://doi.org/10.26650/imj.2019.86.0005


Harvard: Author-Date Style

Özgür, C. (0001) ‘Hisse Senedi Getirileri İle Finansal Oranlar Arasındaki İlişkinin Araştırılmasında Bir Panel ARDL Uygulaması’, Istanbul Management Journal, 0(86), pp. 97-112. https://doi.org/10.26650/imj.2019.86.0005 (23 Dec. 2024).


MLA

Özgür, Cemile,. “Hisse Senedi Getirileri İle Finansal Oranlar Arasındaki İlişkinin Araştırılmasında Bir Panel ARDL Uygulaması.” Istanbul Management Journal, vol. 0, no. 86, 0001, pp. 97-112. [Database Container], https://doi.org/10.26650/imj.2019.86.0005


Vancouver

Özgür C. Hisse Senedi Getirileri İle Finansal Oranlar Arasındaki İlişkinin Araştırılmasında Bir Panel ARDL Uygulaması. Istanbul Management Journal [Internet]. 23 Dec. 2024 [cited 23 Dec. 2024];0(86):97-112. Available from: https://doi.org/10.26650/imj.2019.86.0005 doi: 10.26650/imj.2019.86.0005


ISNAD

Özgür, Cemile. “Hisse Senedi Getirileri İle Finansal Oranlar Arasındaki İlişkinin Araştırılmasında Bir Panel ARDL Uygulaması”. Istanbul Management Journal 0/86 (Dec. 2024): 97-112. https://doi.org/10.26650/imj.2019.86.0005



ZAMAN ÇİZELGESİ


Gönderim11.01.2019
Kabul05.03.2019

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