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by members of

İşletme Fakütesi
Dokuz Eylül Üniversitesi
İzmir, Turkey

(Faculty of Business, Dokuz Eylul University)

These are publications listed in RePEc written by members of the above institution who are registered with the RePEc Author Service. Thus this compiles the works all those currently affiliated with this institution, not those affilated at the time of publication. List of registered members. Register yourself. Citation analysis. This page is updated in the first days of each month.
| Journal articles | Chapters |

Journal articles


  1. Cagli, Efe Caglar & Mandaci, Pinar Evrim, 2023. "Time and frequency connectedness of uncertainties in cryptocurrency, stock, currency, energy, and precious metals markets," Emerging Markets Review, Elsevier, vol. 55(C).
  2. Cagli, Efe Caglar & Mandaci, Pinar Evrim & Taskin, Dilvin, 2023. "The volatility connectedness between agricultural commodity and agri businesses: Evidence from time-varying extended joint approach," Finance Research Letters, Elsevier, vol. 52(C).
  3. Cagli, Efe Caglar, 2023. "The volatility spillover between battery metals and future mobility stocks: Evidence from the time-varying frequency connectedness approach," Resources Policy, Elsevier, vol. 86(PA).


  1. Evrim Mandaci, Pinar & Cagli, Efe Caglar, 2022. "Herding intensity and volatility in cryptocurrency markets during the COVID-19," Finance Research Letters, Elsevier, vol. 46(PB).
  2. Efe Caglar Cagli & Dilvin Taşkin & Pınar Evrim Mandaci, 2022. "The role of uncertainties on sustainable stocks and green bonds," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 15(4), pages 647-671, December.
  3. Zeliha Can Ergün & Efe Caglar Cagli & M. Banu Durukan Salı, 2022. "The interconnectedness across risk appetite of distinct investor types in Borsa Istanbul," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 40(3), pages 425-444, December.


  1. Efe Caglar Cagli & Pinar Evrim Mandaci, 2021. "Information transmission between bitcoin derivatives and spot markets: high-frequency causality analysis with Fourier approximation," Economics and Business Letters, Oviedo University Press, vol. 10(4), pages 394-402.


  1. Evrim Mandacı, Pınar & Cagli, Efe Çaglar & Taşkın, Dilvin, 2020. "Dynamic connectedness and portfolio strategies: Energy and metal markets," Resources Policy, Elsevier, vol. 68(C).


  1. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
  2. Cagli, Efe Caglar, 2019. "Explosive behavior in the prices of Bitcoin and altcoins," Finance Research Letters, Elsevier, vol. 29(C), pages 398-403.


  1. EVRIM MANDACI, Pinar & CAGLI, Efe Caglar, 2016. "Who Drives Whom? Investigating The Relationship Between The Major Stock Markets," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 20(2), pages 6-24.


  1. Umut Halaç & Fatma Dilvin Taşkın & Efe Çağlar Çağlı, 2013. "Turkish Stock Market Integration with Oil Prices: Cointegration Analysis with Unknown Regime Shifts," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 60(4), pages 499-513.


  1. Efe Çağlar Çağli & Pinar Evrim Mandaci & Pinar Hakan Kahyaoğlu, 2011. "Volatility Shifts and Persistence in Variance: Evidence from the Sector Indices of Istanbul Stock Exchange," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 4(3), pages 119-140, December.



  1. Efe Caglar Cagli, 2019. "The Causal Relationship Between Returns and Trading Volume in Cryptocurrency Markets: Recursive Evolving Approach," Contributions to Economics, in: Umit Hacioglu (ed.), Blockchain Economics and Financial Market Innovation, chapter 0, pages 167-190, Springer.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.