IDEAS home Printed from https://ideas.repec.org/e/pci27.html
   My authors  Follow this author

Atilla Cifter

Personal Details

First Name:Atilla
Middle Name:
Last Name:Cifter
Suffix:
RePEc Short-ID:pci27
[This author has chosen not to make the email address public]
http://works.bepress.com/atilla_cifter/
902126040000

Affiliation

İktisadi ve İdari Bilimler Fakültesi
İstanbul Kemerburgaz Üniversitesi (IKBU)

İstanbul, Turkey
http://www.kemerburgaz.edu.tr/akademik-birimler/iktisadi-idari.aspx
RePEc:edi:iikemtr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Cifter, Atilla & Ozun, Alper, 2007. "The Predictive Performance of Asymmetric Normal Mixture GARCH in Risk Management: Evidence from Turkey," MPRA Paper 2489, University Library of Munich, Germany.
  2. Cifter, Atilla & Ozun, Alper, 2007. "Multi-scale Causality between Energy Consumption and GNP in Emerging Markets: Evidence from Turkey," MPRA Paper 2483, University Library of Munich, Germany.
  3. Cifter, Atilla & Ozun, Alper, 2007. "Multiscale Systematic Risk: An Application on ISE-30," MPRA Paper 2484, University Library of Munich, Germany.
  4. Ozun, Alper & Cifter, Atilla & Yilmazer, Sait, 2007. "Filtered Extreme Value Theory for Value-At-Risk Estimation," MPRA Paper 3302, University Library of Munich, Germany.
  5. Cifter, Atilla & Ozun, Alper, 2007. "The Effects of International F/X Markets on Domestic Currencies Using Wavelet Networks: Evidence from Emerging Markets," MPRA Paper 2482, University Library of Munich, Germany.
  6. Ozun, Alper & Cifter, Atilla, 2007. "Portfolio Value-at-Risk with Time-Varying Copula: Evidence from the Americas," MPRA Paper 2711, University Library of Munich, Germany.
  7. Cifter, Atilla & Ozun, Alper, 2007. "Monetary Transmission Mechanism in the New Economy: Evidence from Turkey (1997-2006)," MPRA Paper 2486, University Library of Munich, Germany.
  8. Ozun, Alper & Cifter, Atilla, 2007. "Modeling Long-Term Memory Effect in Stock Prices: A Comparative Analysis with GPH Test and Daubechies Wavelets," MPRA Paper 2481, University Library of Munich, Germany.
  9. Cifter, Atilla & Ozun, Alper, 2007. "Estimating the Effects of Interest Rates on Share Prices Using Multi-scale Causality Test in Emerging Markets: Evidence from Turkey," MPRA Paper 2485, University Library of Munich, Germany.
  10. Ozun, Alper & Cifter, Atilla, 2007. "Nonlinear Combination of Financial Forecast with Genetic Algorithm," MPRA Paper 2488, University Library of Munich, Germany.
  11. Chambers, Nurgul & Cifter, Atilla, 2006. "The Effect of Scale on Productivity of Turkish Banks in the Post-Crises Period: An Application of Data Envelopment Analysis," MPRA Paper 2487, University Library of Munich, Germany.

Articles

  1. Silahli, Baykar & Dingec, Kemal Dincer & Cifter, Atilla & Aydin, Nezir, 2021. "Portfolio value-at-risk with two-sided Weibull distribution: Evidence from cryptocurrency markets," Finance Research Letters, Elsevier, vol. 38(C).
  2. Atilla Cifter & Gokhan H. Akay & F. İrem Doğan, 2021. "Oil Prices and Stock Returns in the MENA Countries: A Firm-level Data Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(15), pages 4350-4360, December.
  3. Gokhan H. Akay & Atilla Cifter & Ozdemir Teke, 2017. "Turkish tourism, exchange rates and income," Tourism Economics, , vol. 23(1), pages 66-77, February.
  4. Atilla Cifter, 2015. "Stock Returns, Inflation, and Real Activity in Developing Countries: A Markov-Switching Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 62(1), pages 55-76.
  5. Atilla Çifter, 2015. "Bank concentration and non-performing loans in Central and Eastern European countries," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(1), pages 117-137, February.
  6. Akay, Gokhan H. & Cifter, Atilla, 2014. "Exchange rate exposure at the firm and industry levels: Evidence from Turkey," Economic Modelling, Elsevier, vol. 43(C), pages 426-434.
  7. Atilla Cifter & Dilek Teker, 2013. "Gender differences in macroeconomic expectations: evidence from Turkey," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1793-1801, April.
  8. Cifter, Atilla, 2012. "Volatility Forecasting with Asymmetric Normal Mixture Garch Model: Evidence from South Africa," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 127-142, June.
  9. Cifter, Atilla, 2011. "Value-at-risk estimation with wavelet-based extreme value theory: Evidence from emerging markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(12), pages 2356-2367.
  10. Alper Ozun & Atilla Cifter, 2010. "A wavelet network model for analysing exchange rate effects on interest rates," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 37(4), pages 405-418, September.
  11. Alper Ozun & Atilla Cifter & Sait Yılmazer, 2010. "Filtered extreme‐value theory for value‐at‐risk estimation: evidence from Turkey," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 11(2), pages 164-179, March.
  12. Cifter, Atilla & Yilmazer, Sait & Cifter, Elif, 2009. "Analysis of sectoral credit default cycle dependency with wavelet networks: Evidence from Turkey," Economic Modelling, Elsevier, vol. 26(6), pages 1382-1388, November.
  13. Cifter Atilla & Ozun Alper, 2008. "Estimating the Effects of Interest Rates on Share Prices in Turkey Using a Multi-Scale Causality Test," Review of Middle East Economics and Finance, De Gruyter, vol. 4(2), pages 68-79, April.
  14. Alper Ozun & Atilla Cifter, 2008. "Modeling long‐term memory effect in stock prices," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 25(1), pages 38-48, March.
  15. Atilla Cifter & Alper Ozun, 2008. "Multiscale Systematic Risk: an Application on the ISE-30," Istanbul Stock Exchange Review, Research and Business Development Department, Borsa Istanbul, vol. 10(38), pages 1-24.
  16. Alper ÖZÜN & Atilla ÇİFTER, 2007. "Hisse senedi getirilerinde global ve yerel faiz oranı riski: Kısmi çokdeğişkenli GARCH modeliyle İstanbul Menkul Kıymetler Borsası üzerine bir çalışma," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 22(254), pages 47-60.
  17. Atilla Çifter & Alper Özün, 2007. "The Predictive Performance of Asymmetric Normal Mixture GARCH in Risk Management: Evidence from Turkey," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 1(1), pages 7-34.
  18. Cifter Atilla & Ozun Alper, 2007. "The Monetary Transmission Mechanism in the New Economy: Evidence from Turkey (1997-2006)," South East European Journal of Economics and Business, Sciendo, vol. 2(1), pages 15-24, April.
  19. Alper Ozun & Atilla Cifter, 2007. "Estimating Portfolio Risk with Conditional Joe-Clayton Copula: An Empirical Analysis with Asian Equity Markets," The IUP Journal of Financial Economics, IUP Publications, vol. 0(3), pages 28-41, September.
    RePEc:voj:journl:v:62:y:2015:i:1:p:55-76 is not listed on IDEAS
    RePEc:eme:jrfpps:v:11:y:2010:i:2:p:164-179 is not listed on IDEAS

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. Cifter, Atilla & Ozun, Alper, 2007. "The Predictive Performance of Asymmetric Normal Mixture GARCH in Risk Management: Evidence from Turkey," MPRA Paper 2489, University Library of Munich, Germany.

    Cited by:

    1. Guglielmo Maria Caporale & Timur Zekokh, 2018. "Modelling Volatility of Cryptocurrencies Using Markov-Switching Garch Models," CESifo Working Paper Series 7167, CESifo.
    2. Cifter, Atilla, 2012. "Volatility Forecasting with Asymmetric Normal Mixture Garch Model: Evidence from South Africa," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 127-142, June.

  2. Cifter, Atilla & Ozun, Alper, 2007. "Multi-scale Causality between Energy Consumption and GNP in Emerging Markets: Evidence from Turkey," MPRA Paper 2483, University Library of Munich, Germany.

    Cited by:

    1. Arshad Khan, Muhammad & Ahmed, Usman, 2009. "Energy Demand in Pakistan: A Disaggregate Analysis," MPRA Paper 15056, University Library of Munich, Germany.
    2. Benhmad, François, 2013. "Dynamic cyclical comovements between oil prices and US GDP: A wavelet perspective," Energy Policy, Elsevier, vol. 57(C), pages 141-151.
    3. Saldivia, Mauricio & Kristjanpoller, Werner & Olson, Josephine E., 2020. "Energy consumption and GDP revisited: A new panel data approach with wavelet decomposition," Applied Energy, Elsevier, vol. 272(C).
    4. Bamidele P. Abalaba & Matthew Abiodun Dada, 2013. "Energy Consumption and Economic Growth Nexus: New Empirical Evidence from Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 3(4), pages 412-423.
    5. Junsheng Ha & Pei-Pei Tan & Kim-Leng Goh, 2018. "Linear and nonlinear causal relationship between energy consumption and economic growth in China: New evidence based on wavelet analysis," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-21, May.
    6. Yu, Lean & Li, Jingjing & Tang, Ling & Wang, Shuai, 2015. "Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach," Energy Economics, Elsevier, vol. 51(C), pages 300-311.
    7. Haiyun Xu, 2016. "Economic policy uncertainty and housing returns in Germany: Evidence from a bootstrap rolling window," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 34(2), pages 309-332.
    8. Raza Muhammad khan & Sohail Farooq & Muhammad Akram Gilal, 2020. "Electricity Consumption and Economic Growth: A Time-Series Study on Pakistan," Global Economics Review, Humanity Only, vol. 5(1), pages 24-37, March.
    9. Yılmaz Bayar & Hasan Alp Özel, 2014. "Electricity Consumption and Economic Growth in Emerging Economies," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 4(2), pages 1-15, April.
    10. Benhmad, François, 2012. "Modeling nonlinear Granger causality between the oil price and U.S. dollar: A wavelet based approach," Economic Modelling, Elsevier, vol. 29(4), pages 1505-1514.
    11. Inchauspe, Julian & Li, Jun & Park, Jason, 2020. "Seasonal patterns of global oil consumption: Implications for long term energy policy," Journal of Policy Modeling, Elsevier, vol. 42(3), pages 536-556.
    12. Kristjanpoller R., Werner & Sierra C., Alejandro & Scavia D., Javier, 2018. "Dynamic co-movements between energy consumption and economic growth. A panel data and wavelet perspective," Energy Economics, Elsevier, vol. 72(C), pages 640-649.
    13. Upadhyay, Shashankaditya & Banerjee, Anirban & Panigrahi, Prasanta K., 2020. "Causal evolution of global crisis in financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    14. Alina Razaq & Abdus Samie & Muhammad Bilal Saleem & M. Amjed Iqbal & Muhammad Awais Jameel & Muhammad Yousuf & Muhammad Qadeer Ashraf, 2023. "Investigating the Impact of Energy Consumption on Economic Growth of Pakistan: An Econometric Analysis," Journal of Economic Impact, Science Impact Publishers, vol. 5(3), pages 225-230.
    15. Mirza, Faisal Mehmood & Kanwal, Afra, 2017. "Energy consumption, carbon emissions and economic growth in Pakistan: Dynamic causality analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1233-1240.
    16. Erdost Torun & Afife Duygu Ayhan Akdeniz & Erhan Demireli & Simon Grima, 2022. "Long-Term US Economic Growth and the Carbon Dioxide Emissions Nexus: A Wavelet-Based Approach," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    17. Neeraj, & Panigrahi, Prasanta K., 2017. "Causality and correlations between BSE and NYSE indexes: A Janus faced relationship," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 481(C), pages 284-313.
    18. Tonn, Victor Lux & Li, H.C. & McCarthy, Joseph, 2010. "Wavelet domain correlation between the futures prices of natural gas and oil," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 408-414, November.
    19. Wei, Jiangqiao & Ma, Zhe & Wang, Anjian & Li, Pengyuan & Sun, Xiaoyan & Yuan, Xiaojing & Hao, Hongchang & Jia, Hongxiang, 2022. "Multiscale nonlinear Granger causality and time-varying effect analysis of the relationship between iron ore futures and spot prices," Resources Policy, Elsevier, vol. 77(C).
    20. Jammazi, Rania & Aloui, Chaker, 2015. "Environment degradation, economic growth and energy consumption nexus: A wavelet-windowed cross correlation approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 110-125.

  3. Cifter, Atilla & Ozun, Alper, 2007. "Multiscale Systematic Risk: An Application on ISE-30," MPRA Paper 2484, University Library of Munich, Germany.

    Cited by:

    1. Bruno Milani & Paulo Sérgio Ceretta, 2014. "A multiscale approach to emerging market pricing," Economics Bulletin, AccessEcon, vol. 34(2), pages 784-792.

  4. Ozun, Alper & Cifter, Atilla & Yilmazer, Sait, 2007. "Filtered Extreme Value Theory for Value-At-Risk Estimation," MPRA Paper 3302, University Library of Munich, Germany.

    Cited by:

    1. Sofiane Aboura, 2014. "When the U.S. Stock Market Becomes Extreme?," Risks, MDPI, vol. 2(2), pages 1-15, May.
    2. Hammoudeh, Shawkat & Araújo Santos, Paulo & Al-Hassan, Abdullah, 2013. "Downside risk management and VaR-based optimal portfolios for precious metals, oil and stocks," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 318-334.
    3. Chlebus Marcin, 2017. "EWS-GARCH: New Regime Switching Approach to Forecast Value-at-Risk," Central European Economic Journal, Sciendo, vol. 3(50), pages 01-25, December.
    4. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    5. Mateusz Buczyński & Marcin Chlebus, 2019. "Old-fashioned parametric models are still the best. A comparison of Value-at-Risk approaches in several volatility states," Working Papers 2019-12, Faculty of Economic Sciences, University of Warsaw.
    6. Sasa Zikovic & Bora Aktan, 2009. "Global financial crisis and VaR performance in emerging markets: A case of EU candidate states - Turkey and Croatia," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 27(1), pages 149-170.
    7. Amira Akl Ahmed & Doaa Akl Ahmed, 2016. "Modelling Conditional Volatility and Downside Risk for Istanbul Stock Exchange," Working Papers 1028, Economic Research Forum, revised Jul 2016.
    8. Laura Garcia-Jorcano & Alfonso Novales, 2020. "A dominance approach for comparing the performance of VaR forecasting models," Computational Statistics, Springer, vol. 35(3), pages 1411-1448, September.
    9. Degiannakis, Stavros & Floros, Christos & Livada, Alexandra, 2012. "Evaluating Value-at-Risk Models before and after the Financial Crisis of 2008: International Evidence," MPRA Paper 80463, University Library of Munich, Germany.
    10. Imed Gammoudi & Lotfi BelKacem & Mohamed El Ghourabi, 2014. "Value at Risk Estimation for Heavy Tailed Distributions," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(3), pages 109-125.

  5. Cifter, Atilla & Ozun, Alper, 2007. "The Effects of International F/X Markets on Domestic Currencies Using Wavelet Networks: Evidence from Emerging Markets," MPRA Paper 2482, University Library of Munich, Germany.

    Cited by:

    1. Cifter Atilla & Ozun Alper, 2008. "Estimating the Effects of Interest Rates on Share Prices in Turkey Using a Multi-Scale Causality Test," Review of Middle East Economics and Finance, De Gruyter, vol. 4(2), pages 68-79, April.
    2. Tiwari, Aviral Kumar, 2012. "Decomposing Time-Frequency Relationship between Interest Rates and Share Prices in India through Wavelets," MPRA Paper 39693, University Library of Munich, Germany.

  6. Ozun, Alper & Cifter, Atilla, 2007. "Portfolio Value-at-Risk with Time-Varying Copula: Evidence from the Americas," MPRA Paper 2711, University Library of Munich, Germany.

    Cited by:

    1. Berger, Theo, 2015. "A wavelet based approach to measure and manage contagion at different time scales," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 338-350.
    2. Ruijun Bu & Ludovic Giet & Kaddour Hadri & Michel Lubrano, 2009. "Modeling Multivariate Interest Rates using Time-Varying Copulas and Reducible Stochastic Differential Equations," Working Papers halshs-00408014, HAL.
    3. Kuzmina, Jekaterina & Pettere, Gaida & Voronova, Irina, 2009. "Conditional risk measure modeling for Latvian insurance companies," Perspectives of Innovations, Economics and Business (PIEB), Prague Development Center (PRADEC), vol. 3, pages 1-3, December.
    4. Jekaterina Kuzmina & Gaida Pettere & Irina Voronova, 2009. "Conditional Risk Measure Modeling For Latvian Insurance Companies," Perspectives of Innovation in Economics and Business (PIEB), Prague Development Center, vol. 3(3), pages 59-61.
    5. Berger, Theo, 2016. "On the isolated impact of copulas on risk measurement: Asimulation study," Economic Modelling, Elsevier, vol. 58(C), pages 475-481.
    6. Bhatti, M. Ishaq & Nguyen, Cuong C., 2012. "Diversification evidence from international equity markets using extreme values and stochastic copulas," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 622-646.
    7. Ruijun Bu & Ludovic Giet & Kaddour Hadri & Michel Lubrano, 2009. "Modelling Multivariate Interest Rates using Time-Varying Copulas and Reducible Non-Linear Stochastic Differential," Economics Working Papers 09-02, Queen's Management School, Queen's University Belfast.
    8. Berger, T. & Missong, M., 2014. "Financial crisis, Value-at-Risk forecasts and the puzzle of dependency modeling," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 33-38.

  7. Cifter, Atilla & Ozun, Alper, 2007. "Monetary Transmission Mechanism in the New Economy: Evidence from Turkey (1997-2006)," MPRA Paper 2486, University Library of Munich, Germany.

    Cited by:

    1. Ibrahim Ethem Guney & Oguzhan Cepni, 2016. "Endogeneity of Money Supply : Evidence From Turkey," CBT Research Notes in Economics 1619, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    2. James L. Butkiewicz & Zeliha Ozdogan, 2013. "Financial crisis, monetary policy reform and the monetary transmission mechanism in Turkey," Working Papers 13-08, University of Delaware, Department of Economics.
    3. Nayan, Sabri & Ahmad, Mahyudin & Kadir, Norsiah & Abdullah, Mat Saad, 2013. "Post Keynesian Endogeneity of Money Supply: Panel Evidence," MPRA Paper 48716, University Library of Munich, Germany.
    4. M. Lopreite, 2012. "The endogenous money hypothesis and securitization: the Euro area case (1999-2010)," Economics Department Working Papers 2012-EP02, Department of Economics, Parma University (Italy).
    5. Marina Yu. Malkina & Igor A. Moiseev, 2020. "Endogeneity of Money Supply in the Russian Economy in the Context of the Monetary Regime Change," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 8-27, June.
    6. Matteo Deleidi, 2019. "Endogenous money theory: horizontalists, structuralists and the credit market," Bulletin of Political Economy, Bulletin of Political Economy, vol. 13(1), pages 21-53, June.

  8. Ozun, Alper & Cifter, Atilla, 2007. "Modeling Long-Term Memory Effect in Stock Prices: A Comparative Analysis with GPH Test and Daubechies Wavelets," MPRA Paper 2481, University Library of Munich, Germany.

    Cited by:

    1. Bhandari, Avishek, 2020. "Long Memory and Correlation Structures of Select Stock Returns Using Novel Wavelet and Fractal Connectivity Networks," MPRA Paper 101946, University Library of Munich, Germany.
    2. Avishek Bhandari & Bandi Kamaiah, 2020. "Long memory in select stock returns using an alternative wavelet log-scale alignment approach," Papers 2004.08550, arXiv.org.
    3. Avishek Bhandari & Bandi Kamaiah, 2021. "Long Memory and Fractality Among Global Equity Markets: a Multivariate Wavelet Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 23-37, March.
    4. Quinton Morris & Gary Van Vuuren & Paul Styger, 2009. "Further Evidence Of Long Memory In The South African Stock Market," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 81-101, March.
    5. Anju Bala & Kapil Gupta, 2020. "Examining The Long Memory In Stock Returns And Liquidity In India," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 9(3), pages 25-43.
    6. Bhandari, Avishek, 2020. "Long memory and fractality among global equity markets: A multivariate wavelet approach," MPRA Paper 99653, University Library of Munich, Germany.

  9. Cifter, Atilla & Ozun, Alper, 2007. "Estimating the Effects of Interest Rates on Share Prices Using Multi-scale Causality Test in Emerging Markets: Evidence from Turkey," MPRA Paper 2485, University Library of Munich, Germany.

    Cited by:

    1. Khalfaoui, Rabeh, 2018. "Oil–gold time varying nexus: A time–frequency analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 86-104.
    2. Zatul Badarudin & Ahmed Khalid & Mohamed Ariff, 2009. "Money supply behaviour in emerging economies: a comparative analysis," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 14(4), pages 331-350.

  10. Ozun, Alper & Cifter, Atilla, 2007. "Nonlinear Combination of Financial Forecast with Genetic Algorithm," MPRA Paper 2488, University Library of Munich, Germany.

    Cited by:

    1. Cifter, Atilla, 2011. "Value-at-risk estimation with wavelet-based extreme value theory: Evidence from emerging markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(12), pages 2356-2367.

  11. Chambers, Nurgul & Cifter, Atilla, 2006. "The Effect of Scale on Productivity of Turkish Banks in the Post-Crises Period: An Application of Data Envelopment Analysis," MPRA Paper 2487, University Library of Munich, Germany.

    Cited by:

    1. Wahidudin, Ahmad Nazri, 2010. "Technical Efficiency of Commercial Banks in Malaysia: An Application of Window Data Envelopment Analysis," MPRA Paper 45136, University Library of Munich, Germany.
    2. Mohammad Hanif Akhtar, 2010. "Technical Efficiency and Productivity Growth of Saudi Banks," Global Business Review, International Management Institute, vol. 11(2), pages 119-133, June.

Articles

  1. Silahli, Baykar & Dingec, Kemal Dincer & Cifter, Atilla & Aydin, Nezir, 2021. "Portfolio value-at-risk with two-sided Weibull distribution: Evidence from cryptocurrency markets," Finance Research Letters, Elsevier, vol. 38(C).

    Cited by:

    1. Katarína Draganová & Karol Semrád & Monika Blišťanová & Tomáš Musil & Rastislav Jurč, 2021. "Influence of Disinfectants on Airport Conveyor Belts," Sustainability, MDPI, vol. 13(19), pages 1-13, September.
    2. Ko, Hyungjin & Son, Bumho & Lee, Jaewook, 2024. "Portfolio insurance strategy in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 67(PA).
    3. Abdulaziz S. Alghamdi & M. M. Abd El-Raouf, 2023. "A New Alpha Power Cosine-Weibull Model with Applications to Hydrological and Engineering Data," Mathematics, MDPI, vol. 11(3), pages 1-25, January.
    4. Díaz, Antonio & Esparcia, Carlos & Huélamo, Diego, 2023. "Stablecoins as a tool to mitigate the downside risk of cryptocurrency portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    5. Mercik, Aleksander & Słoński, Tomasz & Karaś, Marta, 2024. "Understanding crypto-asset exposure: An investigation of its impact on performance and stock sensitivity among listed companies," International Review of Financial Analysis, Elsevier, vol. 92(C).

  2. Gokhan H. Akay & Atilla Cifter & Ozdemir Teke, 2017. "Turkish tourism, exchange rates and income," Tourism Economics, , vol. 23(1), pages 66-77, February.

    Cited by:

    1. Vatsa, Puneet, 2020. "Comovement amongst the demand for New Zealand tourism," Annals of Tourism Research, Elsevier, vol. 83(C).
    2. Sahib Oad & Qu Jinliang & Syed Babar Hussain Shah & Shafique-ul-Rehman Memon, 2022. "Tourism: economic development without increasing CO2 emissions in Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 4000-4023, March.
    3. Ferhat Citak, 2018. "Exchange Rate and Turkish Tourism Trade," International Journal of Economics and Financial Issues, Econjournals, vol. 8(4), pages 206-213.

  3. Atilla Çifter, 2015. "Bank concentration and non-performing loans in Central and Eastern European countries," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(1), pages 117-137, February.

    Cited by:

    1. Ana Kristel Lapid & Rogelio Mercado & Peter Rosenkranz, 2023. "Concentration in Asia's cross‐border banking: Determinants and impacts," Pacific Economic Review, Wiley Blackwell, vol. 28(2), pages 267-292, May.
    2. Candida Ferreira, 2023. "The Influence of Bank Performance, Market Condition and Economic Growth on Non-Performing Loansa," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 9(1), pages 77-98, June.
    3. Juan Carlos CUESTAS & Yannick LUCOTTE & Nicolas REIGL, 2019. "Banking sector concentration, competition and financial stability: the case of the Baltic countries," LEO Working Papers / DR LEO 2731, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    4. Dimitrios Anastasiou & Zacharias Bragoudakis & Ioannis Malandrakis, 2019. "Non-performing loans, governance indicators and systemic liquidity risk: evidence from Greece," Working Papers 260, Bank of Greece.
    5. Kozak Sylwester & Wierzbowska Agata, 2021. "Banking Market Concentration and Bank Efficiency. Evidence from Southern, Eastern and Central Europe," South East European Journal of Economics and Business, Sciendo, vol. 16(1), pages 38-52, June.
    6. Krzysztof Kil & Radosław Ciukaj & Justyna Chrzanowska, 2021. "Scoring Models and Credit Risk: The Case of Cooperative Banks in Poland," Risks, MDPI, vol. 9(7), pages 1-15, July.

  4. Akay, Gokhan H. & Cifter, Atilla, 2014. "Exchange rate exposure at the firm and industry levels: Evidence from Turkey," Economic Modelling, Elsevier, vol. 43(C), pages 426-434.

    Cited by:

    1. Ngo, Thanh, 2017. "Exchange rate exposure of REITs," The Quarterly Review of Economics and Finance, Elsevier, vol. 64(C), pages 249-258.
    2. İbrahim Ethem Güney & Abdullah Kazdal & Doruk Küçüksaraç & Muhammed Hasan Yılmaz, 2021. "Exchange Rate Sensitivity of Firm Value: Evidence from Nonfinancial Firms Listed on Borsa Istanbul," Springer Books, in: Burcu Adıgüzel Mercangöz (ed.), Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, edition 1, pages 141-165, Springer.
    3. Mücahid Samet YILMAZ & Mustafa ACAR, 2024. "Balance Sheet Effects of Exchange Rate Changes and Debt Dollarisation: An Econometric Analysis on the Turkish Real Sector," Sosyoekonomi Journal, Sosyoekonomi Society, issue 32(60).
    4. Sikarwar, Ekta, 2022. "Board attributes, hedging activities and exchange rate risk: Multi-country firm-level evidence," Economic Modelling, Elsevier, vol. 110(C).
    5. Ibrahim Ethem Guney & Abdullah Kazdal & Doruk Kucuksarac & Muhammed Hasan Yilmaz, 2019. "Exchange Rate Sensitivity of Firm Value : Recent Evidence from Non-Financial Firms Listed on Borsa Istanbul," CBT Research Notes in Economics 1911, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    6. Nurul Anisak & Azhar Mohamad, 2020. "Foreign Exchange Exposure of Indonesian Listed Firms," Global Business Review, International Management Institute, vol. 21(4), pages 918-936, August.
    7. Sikarwar, Ekta, 2020. "Forex interventions and exchange rate exposure: Evidence from emerging market firms," Economic Modelling, Elsevier, vol. 93(C), pages 69-81.
    8. Chow, Yee Peng & Muhammad, Junaina & Bany-Ariffin, A.N. & Cheng, Fan Fah, 2019. "Macroeconomic Uncertainty and Corporate Capital Structure: Evidence from the Asia Pacific Region," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 53(2), pages 99-122.
    9. Meen Chee Hong & Ei Yet Chu & Saw Imm Song, 2018. "Exchange Rate Exposure and Crude Oil Price: The Case of an Emerging Market," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 14(2), pages 157-184.
    10. M. A. Adebiyi & M. O. Abeng, 2019. "The Sensitivity of Sector Stock Returns to Exchange Rate Risks in Nigeria," Economic and Financial Review, Central Bank of Nigeria, vol. 57(2), June.
    11. Chou, De-Wai & Lin, Lin & Hung, Pi-Hsia & Lin, Chun Heng, 2017. "A revisit to economic exposure of U.S. multinational corporations," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 273-287.
    12. Van Cauwenberge, Annelies & Vancauteren, Mark & Braekers, Roel & Vandemaele, Sigrid, 2021. "Measuring and explaining firm-level exchange rate exposure: The role of foreign market destinations and international trade," Economic Modelling, Elsevier, vol. 105(C).
    13. Andrikopoulos, Athanasios & Dassiou, Xeni & Zheng, Min, 2020. "Exchange-rate exposure and Brexit: The case of FTSE, DAX and IBEX," International Review of Financial Analysis, Elsevier, vol. 68(C).

  5. Cifter, Atilla, 2012. "Volatility Forecasting with Asymmetric Normal Mixture Garch Model: Evidence from South Africa," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 127-142, June.

    Cited by:

    1. Lamine Diane & Pradeep Brijlal, 2024. "Forecasting Stock Market Realized Volatility using Random Forest and Artificial Neural Network in South Africa," International Journal of Economics and Financial Issues, Econjournals, vol. 14(2), pages 5-14, March.

  6. Cifter, Atilla, 2011. "Value-at-risk estimation with wavelet-based extreme value theory: Evidence from emerging markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(12), pages 2356-2367.

    Cited by:

    1. Khalfaoui, Rabeh, 2018. "Oil–gold time varying nexus: A time–frequency analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 86-104.
    2. Jammazi, Rania & Lahiani, Amine & Nguyen, Duc Khuong, 2015. "A wavelet-based nonlinear ARDL model for assessing the exchange rate pass-through to crude oil prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 173-187.
    3. Małgorzata Just & Krzysztof Echaust, 2021. "An Optimal Tail Selection in Risk Measurement," Risks, MDPI, vol. 9(4), pages 1-16, April.
    4. Onder Buberkoku, 2018. "Examining the Value-at-risk Performance of Fractionally Integrated GARCH Models: Evidence from Energy Commodities," International Journal of Economics and Financial Issues, Econjournals, vol. 8(3), pages 36-50.
    5. Krzysztof Echaust & Małgorzata Just, 2020. "Value at Risk Estimation Using the GARCH-EVT Approach with Optimal Tail Selection," Mathematics, MDPI, vol. 8(1), pages 1-24, January.
    6. Rania Jammazi & Duc Khuong Nguyen, 2017. "Estimating and forecasting portfolio’s Value-at-Risk with wavelet-based extreme value theory: Evidence from crude oil prices and US exchange rates," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1352-1362, November.
    7. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2014. "Semi-nonparametric VaR forecasts for hedge funds during the recent crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 330-343.
    8. Wen, Shaobo & An, Haizhong & Huang, Shupei & Liu, Xueyong, 2019. "Dynamic impact of China's stock market on the international commodity market," Resources Policy, Elsevier, vol. 61(C), pages 564-571.
    9. Kaijian He & Kin Keung Lai & Guocheng Xiang, 2012. "Portfolio Value at Risk Estimate for Crude Oil Markets: A Multivariate Wavelet Denoising Approach," Energies, MDPI, vol. 5(4), pages 1-26, April.
    10. He, Kaijian & Wang, Lijun & Zou, Yingchao & Lai, Kin Keung, 2014. "Value at risk estimation with entropy-based wavelet analysis in exchange markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 62-71.
    11. Aloui, Chaker & Jammazi, Rania, 2015. "Dependence and risk assessment for oil prices and exchange rate portfolios: A wavelet based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 62-86.
    12. Dai, Yun-Shi & Dai, Peng-Fei & Zhou, Wei-Xing, 2023. "Tail dependence structure and extreme risk spillover effects between the international agricultural futures and spot markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    13. Chakrabarty, Anindya & De, Anupam & Gunasekaran, Angappa & Dubey, Rameshwar, 2015. "Investment horizon heterogeneity and wavelet: Overview and further research directions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 45-61.
    14. Jolanta Tamošaitienė & Vahidreza Yousefi & Hamed Tabasi, 2021. "Project Portfolio Construction Using Extreme Value Theory," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    15. Lu Yang & Shigeyuki Hamori, 2020. "Forecasts of Value-at-Risk and Expected Shortfall in the Crude Oil Market: A Wavelet-Based Semiparametric Approach," Energies, MDPI, vol. 13(14), pages 1-27, July.
    16. Cifter, Atilla, 2012. "Volatility Forecasting with Asymmetric Normal Mixture Garch Model: Evidence from South Africa," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 127-142, June.
    17. Salhi, Khaled & Deaconu, Madalina & Lejay, Antoine & Champagnat, Nicolas & Navet, Nicolas, 2016. "Regime switching model for financial data: Empirical risk analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 148-157.
    18. Zhang, Bangzheng & Wei, Yu & Yu, Jiang & Lai, Xiaodong & Peng, Zhenfeng, 2014. "Forecasting VaR and ES of stock index portfolio: A Vine copula method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 112-124.
    19. Yingchao Zou & Kaijian He, 2022. "Forecasting Crude Oil Risk Using a Multivariate Multiscale Convolutional Neural Network Model," Mathematics, MDPI, vol. 10(14), pages 1-11, July.

  7. Alper Ozun & Atilla Cifter, 2010. "A wavelet network model for analysing exchange rate effects on interest rates," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 37(4), pages 405-418, September.

    Cited by:

    1. Oguzhan Cepni & Yavuz Selim Hacihasanoglu & Muhammed Hasan Yilmaz, 2020. "Credit decomposition and economic activity in Turkey: A wavelet-based approach," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 20(3), pages 109-131.
    2. Gang-Jin Wang & Chi Xie & Shou Chen, 2017. "Multiscale correlation networks analysis of the US stock market: a wavelet analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 561-594, October.
    3. Sharath AMBROSE & Dr. K.R. MANJUNATH, 2020. "A review of international Fisher’s effect focusing on inflation in Indian context for corporate decisions," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(622), S), pages 137-146, Spring.

  8. Alper Ozun & Atilla Cifter & Sait Yılmazer, 2010. "Filtered extreme‐value theory for value‐at‐risk estimation: evidence from Turkey," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 11(2), pages 164-179, March.

    Cited by:

    1. Laura Garcia‐Jorcano & Alfonso Novales, 2021. "Volatility specifications versus probability distributions in VaR forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 189-212, March.
    2. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    3. Laura Garcia-Jorcano & Alfonso Novales, 2020. "A dominance approach for comparing the performance of VaR forecasting models," Computational Statistics, Springer, vol. 35(3), pages 1411-1448, September.

  9. Cifter, Atilla & Yilmazer, Sait & Cifter, Elif, 2009. "Analysis of sectoral credit default cycle dependency with wavelet networks: Evidence from Turkey," Economic Modelling, Elsevier, vol. 26(6), pages 1382-1388, November.

    Cited by:

    1. Castro, Vítor, 2013. "Macroeconomic determinants of the credit risk in the banking system: The case of the GIPSI," Economic Modelling, Elsevier, vol. 31(C), pages 672-683.
    2. Dorian Noel & Prosper Bangwayo-Skeete & Justin Robinson & Michael Brei, 2021. "Sovereign risk spill-overs in the banking sectors of Central America and the Caribbean," Post-Print hal-03592667, HAL.
    3. MVK, Jagannath & Maitra, Debasish, 2023. "Do election cycles, political stability, and government effectiveness matter for the risk of banks? Evidence from Indian banks," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    4. Oguzhan Cepni & Yavuz Selim Hacihasanoglu & Muhammed Hasan Yilmaz, 2020. "Credit decomposition and economic activity in Turkey: A wavelet-based approach," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 20(3), pages 109-131.
    5. Hakimi, Abdelaziz & Hamdi, Helmi, 2013. "Credit Information, Guarantees and Non-Performing Loans," MPRA Paper 55750, University Library of Munich, Germany, revised 2014.
    6. Vonnák, Dzsamila, 2018. "Why do firms default on their foreign currency loans? The case of Hungary," Journal of International Money and Finance, Elsevier, vol. 86(C), pages 207-222.
    7. Petr Jakubik & Eyup Kadioglu, 2022. "Factors affecting bank loan quality: a panel analysis of emerging markets," International Economics and Economic Policy, Springer, vol. 19(3), pages 437-458, July.
    8. Martin Macháček & Aleš Melecký & Monika Šulganová, 2018. "Macroeconomic Drivers of Non-Performing Loans: A Meta-Regression Analysis," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(3), pages 351-374.
    9. Mariusz Górajski & Dobromił Serwa & Zuzanna Wośko, 2019. "Measuring expected time to default under stress conditions for corporate loans," Empirical Economics, Springer, vol. 57(1), pages 31-52, July.
    10. Chaibi, Hasna & Ftiti, Zied, 2015. "Credit risk determinants: Evidence from a cross-country study," Research in International Business and Finance, Elsevier, vol. 33(C), pages 1-16.
    11. Louzis, Dimitrios P. & Vouldis, Angelos T. & Metaxas, Vasilios L., 2012. "Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1012-1027.
    12. Haithem Awijen & Younes Ben Zaied & Ahmed Imran Hunjra, 2023. "Systematic and Unsystematic Determinants of Sectoral Risk Default Interconnectedness," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 561-587, August.
    13. Sascha Tobias Wengerek & Benjamin Hippert & André Uhde, 2019. "Risk allocation through securitization - Evidence from non-performing loans," Working Papers Dissertations 58, Paderborn University, Faculty of Business Administration and Economics.
    14. Kanas, Angelos & Molyneux, Philip, 2018. "Macro stress testing the U.S. banking system," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 54(C), pages 204-227.
    15. Ghosh, Amit, 2015. "Banking-industry specific and regional economic determinants of non-performing loans: Evidence from US states," Journal of Financial Stability, Elsevier, vol. 20(C), pages 93-104.
    16. Sergio Edwin Torrico Salamanca, 2014. "Macro credit scoring as a proposal for quantifying credit risk," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 2(1), pages 42-64.
    17. Ghosh, Amit, 2017. "Sector-specific analysis of non-performing loans in the US banking system and their macroeconomic impact," Journal of Economics and Business, Elsevier, vol. 93(C), pages 29-45.
    18. Fatima Zohra Marouf & Zeyneb Guellil, 2017. "The Macroeconomic Determinants of Credit Risk: The Algerian Banking System," MIC 2017: Managing the Global Economy; Proceedings of the Joint International Conference, Monastier di Treviso, Italy, 24–27 May 2017,, University of Primorska Press.

  10. Cifter Atilla & Ozun Alper, 2008. "Estimating the Effects of Interest Rates on Share Prices in Turkey Using a Multi-Scale Causality Test," Review of Middle East Economics and Finance, De Gruyter, vol. 4(2), pages 68-79, April.

    Cited by:

    1. Foued Saâdaoui, 2013. "The Price and Trading Volume Dynamics Relationship in the EEX Power Market: A Wavelet Modeling," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 47-69, June.
    2. Ahiadorme, Johnson Worlanyo & Sonyo, Emmanuel & Ahiase, Godwin, 2019. "Time series analysis of interest rates volatility and stock returns in Ghana," MPRA Paper 94292, University Library of Munich, Germany.
    3. Selcuk Bayraci & Sercan Demiralay & Hatice Gaye Gencer, 2018. "Stock†Bond Co†Movements And Flight†To†Quality In G7 Countries: A Time†Frequency Analysis," Bulletin of Economic Research, Wiley Blackwell, vol. 70(1), pages 29-49, January.
    4. Tiwari, Aviral Kumar, 2012. "Decomposing Time-Frequency Relationship between Interest Rates and Share Prices in India through Wavelets," MPRA Paper 39693, University Library of Munich, Germany.
    5. Saâdaoui, Foued & Naifar, Nader & Aldohaiman, Mohamed S., 2017. "Predictability and co-movement relationships between conventional and Islamic stock market indexes: A multiscale exploration using wavelets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 552-568.
    6. BENDOB, Ali & Benahmed-Daho, Rachida, 2017. "Pourrions-nous utiliser l'Euribor comme taux de rendement sans risque dans la région Arabe ? [Could we use the Euribor as risk-free rate return in Arabic region?]," MPRA Paper 81405, University Library of Munich, Germany, revised Jun 2017.
    7. Ferrer, Román & Bolós, Vicente J. & Benítez, Rafael, 2016. "Interest rate changes and stock returns: A European multi-country study with wavelets," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 1-12.

  11. Alper Ozun & Atilla Cifter, 2008. "Modeling long‐term memory effect in stock prices," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 25(1), pages 38-48, March.

    Cited by:

    1. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    2. Quinton Morris & Gary Van Vuuren & Paul Styger, 2009. "Further Evidence Of Long Memory In The South African Stock Market," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 81-101, March.
    3. Anju Bala & Kapil Gupta, 2020. "Examining The Long Memory In Stock Returns And Liquidity In India," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 9(3), pages 25-43.
    4. Yalama, Abdullah & Celik, Sibel, 2013. "Real or spurious long memory characteristics of volatility: Empirical evidence from an emerging market," Economic Modelling, Elsevier, vol. 30(C), pages 67-72.

  12. Atilla Cifter & Alper Ozun, 2008. "Multiscale Systematic Risk: an Application on the ISE-30," Istanbul Stock Exchange Review, Research and Business Development Department, Borsa Istanbul, vol. 10(38), pages 1-24.
    See citations under working paper version above.
  13. Atilla Çifter & Alper Özün, 2007. "The Predictive Performance of Asymmetric Normal Mixture GARCH in Risk Management: Evidence from Turkey," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 1(1), pages 7-34.
    See citations under working paper version above.
  14. Cifter Atilla & Ozun Alper, 2007. "The Monetary Transmission Mechanism in the New Economy: Evidence from Turkey (1997-2006)," South East European Journal of Economics and Business, Sciendo, vol. 2(1), pages 15-24, April.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Featured entries

This author is featured on the following reading lists, publication compilations, Wikipedia, or ReplicationWiki entries:
  1. Turkish Economists

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 11 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CWA: Central and Western Asia (6) 2007-04-09 2007-04-09 2007-04-09 2007-04-09 2007-04-09 2007-04-09. Author is listed
  2. NEP-RMG: Risk Management (5) 2007-04-09 2007-04-09 2007-04-09 2007-04-21 2007-05-26. Author is listed
  3. NEP-ECM: Econometrics (3) 2007-04-09 2007-04-09 2007-05-26
  4. NEP-ETS: Econometric Time Series (3) 2007-04-09 2007-04-09 2007-04-09
  5. NEP-FOR: Forecasting (3) 2007-04-09 2007-04-09 2007-05-26
  6. NEP-BAN: Banking (2) 2007-04-09 2007-04-21
  7. NEP-CMP: Computational Economics (2) 2007-04-09 2007-04-09
  8. NEP-CFN: Corporate Finance (1) 2007-05-26
  9. NEP-EFF: Efficiency and Productivity (1) 2007-04-09
  10. NEP-ENE: Energy Economics (1) 2007-04-09
  11. NEP-FMK: Financial Markets (1) 2007-04-21
  12. NEP-MAC: Macroeconomics (1) 2007-04-09
  13. NEP-MON: Monetary Economics (1) 2007-04-09

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Atilla Cifter should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

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