Nildag Basak Ceylan

Personal Details

First Name:	Nildag
Middle Name:	Basak
Last Name:	Ceylan
Suffix:
RePEc Short-ID:	pce35
	[This author has chosen not to make the email address public]

Affiliation

Bankacılık ve Finans Bölümü
İşletme Fakültesi
Ankara Yıldırım Beyazıt Üniversitesi

Ankara, Turkey
http://isletme.ybu.edu.tr/index.php/tr/bolumlertr/bankacilikvefinanstr
RePEc:edi:bfybutr (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Hulisi Ögüt & M. Mete Doganay & Nildag Basak Ceylan & Ramazan Aktas, 2012. "Predicting Bank Financial Strength Ratings in an Emerging Economy: The Case of Turkey," Working Papers 740, Economic Research Forum, revised 2012.

   Cited by:

   1. Li, Jing-Ping & Mirza, Nawazish & Rahat, Birjees & Xiong, Deping, 2020. "Machine learning and credit ratings prediction in the age of fourth industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
   2. Salvador, Carlos & Fernández de Guevara, Juan & Pastor, José Manuel, 2018. "The adjustment of bank ratings in the financial crisis: International evidence," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 289-313.
   3. Kong, Hyeongwoo & Yun, Wonje & Kim, Woo Chang, 2023. "Tracking customer risk aversion," Finance Research Letters, Elsevier, vol. 54(C).
   4. Li, Hui & Hong, Lu-Yao & He, Jia-Xun & Xu, Xuan-Guo & Sun, Jie, 2013. "Small sample-oriented case-based kernel predictive modeling and its economic forecasting applications under n-splits-k-times hold-out assessment," Economic Modelling, Elsevier, vol. 33(C), pages 747-761.
   5. Patrycja Chodnicka-Jaworska, 2018. "Banks credit ratings – is the size of the credit rating agency important?," Faculty of Management Working Paper Series 32018, University of Warsaw, Faculty of Management.
   6. Alexander M. Karminsky & Ella Khromova, 2016. "Modelling banks’ credit ratings of international agencies," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 341-363, December.
   7. Patrycja Chodnicka -Jaworska, 2019. "Banks and shareholders credit ratings – evidence from the European market," Faculty of Management Working Paper Series 32019, University of Warsaw, Faculty of Management.
   8. Plakandaras, Vasilios & Papadimitriou, Theophilos & Gogas, Periklis, 2019. "Forecasting transportation demand for the U.S. market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 195-214.
   9. Valdir Domeneghetti & Fabiano Guasti Lima, 2019. "Strategic direction re-evaluation of bank ratings in Brazil," Economics Bulletin, AccessEcon, vol. 39(2), pages 1336-1347.
   10. Pompella, Maurizio & Dicanio, Antonio, 2017. "Ratings based Inference and Credit Risk: Detecting likely-to-fail Banks with the PC-Mahalanobis Method," Economic Modelling, Elsevier, vol. 67(C), pages 34-44.
   11. Shi, Baofeng & Chi, Guotai & Li, Weiping, 2020. "Exploring the mismatch between credit ratings and loss-given-default: A credit risk approach," Economic Modelling, Elsevier, vol. 85(C), pages 420-428.
   12. Yu, Baojun & Li, Changming & Mirza, Nawazish & Umar, Muhammad, 2022. "Forecasting credit ratings of decarbonized firms: Comparative assessment of machine learning models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
   13. Theodore Syriopoulos & Michael Tsatsaronis & Ioannis Karamanos, 2021. "Support Vector Machine Algorithms: An Application to Ship Price Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 55-87, January.
   14. John A. Ruddy, 2021. "An Analysis of Bank Financial Strength Ratings and Credit Rating Data," Risks, MDPI, vol. 9(9), pages 1-16, August.
   15. Ben Jabeur, Sami & Serret, Vanessa, 2023. "Bankruptcy prediction using fuzzy convolutional neural networks," Research in International Business and Finance, Elsevier, vol. 64(C).

2. Hakan Berument & Nildag Basak Ceylan & Eray Yucel, 2007. "The Differential Sectoral Effects of Policy Shocks : Evidence from Turkey," Working Papers 0703, Department of Economics, Bilkent University.

   Cited by:

   1. Nandini Sengupta, 2014. "Sectoral Effects of Monetary Policy in India," South Asian Journal of Macroeconomics and Public Finance, , vol. 3(1), pages 127-154, June.

Articles

1. Mohammed Kalloub & Ayhan Kapusuzoglu & Nildag Basak Ceylan, 2018. "The Impact Of Basel Iii Adoption By G20 Members On Their Credit Ratings," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 6(1), pages 47-55.

   Cited by:

   1. Ozili, Peterson K, 2021. "Basel III in Nigeria: making it work," MPRA Paper 108495, University Library of Munich, Germany.

2. Ayhan KAPUSUZOGLU & Nildag Basak CEYLAN, 2018. "Multidimensional Scaling For Credit Default Swap (Cds): Evidence From Oecd Countries," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 17(3), pages 3-8.

   Cited by:

   1. Emrah BALKAN & Umut UYAR, 2022. "The Fractal Structure of CDS Spreads: Evidence from the OECD Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 106-121, April.

3. M. Hakan Berument & Nildag Basak Ceylan & Bahar Onar, 2013. "Football and the Risk-Return Relationship for a Stock Market: Borsa Istanbul," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(2), pages 19-30, March.

   Cited by:

   1. Jerome Geyer-Klingeberg & Markus Hang & Matthias Walter & Andreas Rathgeber, 2018. "Do stock markets react to soccer games? A meta-regression analysis," Applied Economics, Taylor & Francis Journals, vol. 50(19), pages 2171-2189, April.

4. Öğüt, Hulisi & Doğanay, M. Mete & Ceylan, Nildağ Başak & Aktaş, Ramazan, 2012. "Prediction of bank financial strength ratings: The case of Turkey," Economic Modelling, Elsevier, vol. 29(3), pages 632-640.

   Cited by:

   1. Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou & Rangan Gupta, 2016. "The Term Premium as a Leading Macroeconomic Indicator," Working Papers 201613, University of Pretoria, Department of Economics.
   2. Li, Jing-Ping & Mirza, Nawazish & Rahat, Birjees & Xiong, Deping, 2020. "Machine learning and credit ratings prediction in the age of fourth industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
   3. Salvador, Carlos & Fernández de Guevara, Juan & Pastor, José Manuel, 2018. "The adjustment of bank ratings in the financial crisis: International evidence," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 289-313.
   4. Kong, Hyeongwoo & Yun, Wonje & Kim, Woo Chang, 2023. "Tracking customer risk aversion," Finance Research Letters, Elsevier, vol. 54(C).
   5. Li, Hui & Hong, Lu-Yao & He, Jia-Xun & Xu, Xuan-Guo & Sun, Jie, 2013. "Small sample-oriented case-based kernel predictive modeling and its economic forecasting applications under n-splits-k-times hold-out assessment," Economic Modelling, Elsevier, vol. 33(C), pages 747-761.
   6. Patrycja Chodnicka-Jaworska, 2018. "Banks credit ratings – is the size of the credit rating agency important?," Faculty of Management Working Paper Series 32018, University of Warsaw, Faculty of Management.
   7. Alexander M. Karminsky & Ella Khromova, 2016. "Modelling banks’ credit ratings of international agencies," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 341-363, December.
   8. Patrycja Chodnicka -Jaworska, 2019. "Banks and shareholders credit ratings – evidence from the European market," Faculty of Management Working Paper Series 32019, University of Warsaw, Faculty of Management.
   9. Plakandaras, Vasilios & Papadimitriou, Theophilos & Gogas, Periklis, 2019. "Forecasting transportation demand for the U.S. market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 195-214.
   10. Valdir Domeneghetti & Fabiano Guasti Lima, 2019. "Strategic direction re-evaluation of bank ratings in Brazil," Economics Bulletin, AccessEcon, vol. 39(2), pages 1336-1347.
   11. Pompella, Maurizio & Dicanio, Antonio, 2017. "Ratings based Inference and Credit Risk: Detecting likely-to-fail Banks with the PC-Mahalanobis Method," Economic Modelling, Elsevier, vol. 67(C), pages 34-44.
   12. Shi, Baofeng & Chi, Guotai & Li, Weiping, 2020. "Exploring the mismatch between credit ratings and loss-given-default: A credit risk approach," Economic Modelling, Elsevier, vol. 85(C), pages 420-428.
   13. Yu, Baojun & Li, Changming & Mirza, Nawazish & Umar, Muhammad, 2022. "Forecasting credit ratings of decarbonized firms: Comparative assessment of machine learning models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
   14. Vasilios Plakandaras & Elie Bouri & Rangan Gupta, 2019. "Forecasting Bitcoin Returns: Is there a Role for the U.S. – China Trade War?," Working Papers 201980, University of Pretoria, Department of Economics.
   15. Theodore Syriopoulos & Michael Tsatsaronis & Ioannis Karamanos, 2021. "Support Vector Machine Algorithms: An Application to Ship Price Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 55-87, January.
   16. Mahalakshmi Manian & Parthajit Kayal, 2024. "Detecting and Forecasting Financial Bubbles in The Indian Stock Market Using Machine Learning Models," Working Papers 2024-270, Madras School of Economics,Chennai,India.
   17. Liao, Jui-Jung & Shih, Ching-Hui & Chen, Tai-Feng & Hsu, Ming-Fu, 2014. "An ensemble-based model for two-class imbalanced financial problem," Economic Modelling, Elsevier, vol. 37(C), pages 175-183.
   18. Periklis Gogas & Theophilos Papadimitriou & Vasilios Plakandaras & Rangan Gupta, 2015. "The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach," Working Papers 201548, University of Pretoria, Department of Economics.
       • Vasilios Plakandaras & Periklis Gogas & Theophilos Papadimitriou & Rangan Gupta, 2017. "The Informational Content of the Term Spread in Forecasting the US Inflation Rate: A Nonlinear Approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(2), pages 109-121, March.
       • Periklis Gogas & Theophilos Papadimitriou & Vasilios Plakandaras & Rangan Gupta, 2019. "The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate: A Nonlinear Approach," DUTH Research Papers in Economics 3-2016, Democritus University of Thrace, Department of Economics.
   19. John A. Ruddy, 2021. "An Analysis of Bank Financial Strength Ratings and Credit Rating Data," Risks, MDPI, vol. 9(9), pages 1-16, August.
   20. Plakandaras, Vasilios & Gupta, Rangan & Gogas, Periklis & Papadimitriou, Theophilos, 2015. "Forecasting the U.S. real house price index," Economic Modelling, Elsevier, vol. 45(C), pages 259-267.
       • Vasilios Plakandaras & Rangan Gupta & Periklis Gogas & Theophilos Papadimitriou, 2014. "Forecasting the U.S. Real House Price Index," Working Paper series 30_14, Rimini Centre for Economic Analysis.
       • Vasilios Plakandaras & Rangan Gupta & Periklis Gogas & Theophilos Papadimitriou, 2017. "Forecasting the U.S. Real House Price Index," Papers 1707.04868, arXiv.org.
       • Vasilios Plakandaras & Rangan Gupta & Theophilos Papadimitriou & Periklis Gogas, 2014. "Forecasting the U.S. Real House Price Index," DUTH Research Papers in Economics 10-2014, Democritus University of Thrace, Department of Economics.
       • Vasilios Plakandaras & Rangan Gupta & Periklis Gogas & Theophilos Papadimitriou, 2014. "Forecasting the U.S. Real House Price Index," Working Papers 201418, University of Pretoria, Department of Economics.
   21. Ben Jabeur, Sami & Serret, Vanessa, 2023. "Bankruptcy prediction using fuzzy convolutional neural networks," Research in International Business and Finance, Elsevier, vol. 64(C).

5. Berument Hakan & Ceylan Nildag Basak, 2008. "US Monetary Policy Surprises and Foreign Interest Rates: Evidence from a Set of MENA Countries," Review of Middle East Economics and Finance, De Gruyter, vol. 4(2), pages 117-133, April.

   Cited by:

   1. Bedri Kamil Onur Tas, 2010. "Determinants of Time-Varying Sensitivity of MENA Countries to Global Shocks: A State Space Approach," Working Papers 530, Economic Research Forum, revised 06 Jan 2010.

6. Hakan Berument & Nildag Basak Ceylan & Hasan Olgun, 2007. "Inflation uncertainty and interest rates: is the Fisher relation universal?," Applied Economics, Taylor & Francis Journals, vol. 39(1), pages 53-68.
   • Hakan Berument & Hasan Olgun & Basak Ceylan, 2006. "Inflation Uncertainty and Interest Rates : Is The Fisher Relation Universal?," Working Papers 0607, Department of Economics, Bilkent University.

   Cited by:

   1. Shu‐Chin Lin, 2009. "Inflation And Real Stock Returns Revisited," Economic Inquiry, Western Economic Association International, vol. 47(4), pages 783-795, October.
   2. Pelin Oge Guney & Erdinc Telatar & Mubariz Hasanov, 2012. "Time Series Behaviour of the Real Interest Rates in Transition Economies," Hacettepe University Department of Economics Working Papers 20125, Hacettepe University, Department of Economics.
      • Pelin Öge Güney & Erdinç Telatar & Mübariz Hasanov, 2015. "Time series behaviour of the real interest rates in transition economies," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 28(1), pages 104-118, January.
   3. Sadaf Zafar & Attiya Yasmin Javid, 2015. "Evaluation of Gold Investment as an Inflationary Hedge in Case of Pakistan," PIDE-Working Papers 2015:118, Pakistan Institute of Development Economics.
   4. Koziol, Philipp, 2014. "Inflation and interest rate derivatives for FX risk management: Implications for exporting firms under real wealth," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(4), pages 459-472.
   5. Basse, Tobias & Wegener, Christoph, 2022. "Inflation expectations: Australian consumer survey data versus the bond market," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 416-430.
   6. Burak Güriş & Yaşar Yaşgül, 2015. "Does the Fisher hypothesis hold for the G7 countries? Evidence from ADL threshold cointegration test," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2549-2557, November.
   7. Habib Rahman & Hasan Mohsin, 2011. "Monetary Policy Announcements and Stock Returns: Evidence from the Pakistani Market," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 18(2), pages 342-360, December.
   8. Sunal, Onur, 2022. "The efficiency of primary sovereign bond markets in Turkey: The so-called Fisher puzzle reconsidered," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 255-261.
   9. Ge, Zhenyu & Sun, Yang, 2024. "Asymmetric impact of oil price shocks on inflation: Evidence from quantile-on-quantile regression," International Review of Financial Analysis, Elsevier, vol. 92(C).
   10. Ercan Özen & Letife Özdemir & Simon Grima, 2020. "The Relationship between the Exchange Rate, Interest Rate and Inflation: The Case of Turkey," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 67(2), pages 259-275, March.
   11. Lorde, Troy & Francis, Brian & Waithe, Kimberly & Taylor, Timothy, 2008. "Interest Rate Determination in Small Developing Countries," MPRA Paper 95621, University Library of Munich, Germany.
   12. Takayasu Ito, 2009. "Fisher Hypothesis in Japan: Analysis of Long‐term Interest Rates under Different Monetary Policy Regimes," The World Economy, Wiley Blackwell, vol. 32(7), pages 1019-1035, July.
   13. Serdar Ongan & Ismet Gocer, 2018. "Interest Rates, Inflation and Partial Fisher Effects under Nonlinearity: Evidence from Canada," Economics Bulletin, AccessEcon, vol. 38(4), pages 1957-1969.
   14. Borja Balparda & Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2017. "The fisher relationship in Nigeria," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(2), pages 343-353, April.
   15. Chen, XiaoHua & Maringer, Dietmar, 2011. "Detecting time-variation in corporate bond index returns: A smooth transition regression model," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 95-103, January.

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