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Faruk Selcuk

(deceased)

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. Ramazan Gençay & Nikola Gradojevic & Richard Olsen & Faruk Selçuk, 2015. "Informed traders' arrival in foreign exchange markets: Does geography matter?," Post-Print hal-01563055, HAL.

    Cited by:

    1. Meifen Qian & Bin Yu & Qianyu Zhu, 2018. "Noise traders, firm-specific uncertainty and technical trading effectiveness," Applied Economics Letters, Taylor & Francis Journals, vol. 25(13), pages 918-923, July.
    2. Sandra Ferreruela & Daniel Martín, 2022. "Market Quality and Short-Selling Ban during the COVID-19 Pandemic: A High-Frequency Data Approach," JRFM, MDPI, vol. 15(7), pages 1-29, July.
    3. Nikola Gradojevic & Deniz Erdemlioglu & Ramazan Gençay, 2017. "Informativeness of trade size in foreign exchange markets," Post-Print hal-01745281, HAL.
    4. Gençay, Ramazan & Gradojevic, Nikola, 2013. "Private information and its origins in an electronic foreign exchange market," Economic Modelling, Elsevier, vol. 33(C), pages 86-93.

  2. Ramazan Gencay & Nikola Gradojevic & Faruk Selcuk, 2009. "Profitability in an Electronic Foreign Exchange Market: Informed Trading or Differences in Valuation?," Working Paper series 25_09, Rimini Centre for Economic Analysis.

    Cited by:

    1. Sirimon Treepongkaruna & Robert Brooks & Stephen Gray, 2012. "Do trading hours affect volatility links in the foreign exchange market?," Australian Journal of Management, Australian School of Business, vol. 37(1), pages 7-27, April.
    2. Bekiros, Stelios D., 2015. "Heuristic learning in intraday trading under uncertainty," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 34-49.

  3. Gencay, Ramazan & Selcuk, Faruk & Whitcher, Brandon, 2004. "Information flow between volatilities across time scales," MPRA Paper 10355, University Library of Munich, Germany.

    Cited by:

    1. Viviana Fernandez, 2006. "The International CAPM and a Wavelet-Based Decomposition of Value at Risk," NBER Working Papers 12233, National Bureau of Economic Research, Inc.
    2. Fulvio Corsi, 2009. "A Simple Approximate Long-Memory Model of Realized Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 7(2), pages 174-196, Spring.
    3. Benhmad, François, 2013. "Bull or bear markets: A wavelet dynamic correlation perspective," Economic Modelling, Elsevier, vol. 32(C), pages 576-591.
    4. 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.
    5. Alessandro Cardinali, 2009. "A Generalized Multiscale Analysis Of The Predictive Content Of Eurodollar Implied Volatilities," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 12(01), pages 1-18.
    6. Roger Bowden & Jennifer Zhu, 2010. "Multi-scale variation, path risk and long-term portfolio management," Quantitative Finance, Taylor & Francis Journals, vol. 10(7), pages 783-796.

  4. Ramazan Gencay & Faruk Selcuk, 2004. "Asymmetry of Information Flow Between Volatilities Across Time Scales," Econometric Society 2004 North American Winter Meetings 90, Econometric Society.

    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. Hasan, Mudassar & Arif, Muhammad & Naeem, Muhammad Abubakr & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Time-frequency connectedness between Asian electricity sectors," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 208-224.
    3. Pata, Ugur Korkut & Kartal, Mustafa Tevfik & Erdogan, Sinan & Sarkodie, Samuel Asumadu, 2023. "The role of renewable and nuclear energy R&D expenditures and income on environmental quality in Germany: Scrutinizing the EKC and LCC hypotheses with smooth structural changes," Applied Energy, Elsevier, vol. 342(C).
    4. Fratianni, Michele & Gallegati, Marco & Giri, Federico, 2022. "The medium-run Phillips curve: A time–frequency investigation for the UK," Journal of Macroeconomics, Elsevier, vol. 73(C).
    5. Deniz Erdemlioglu & Nikola Gradojevic, 2020. "Heterogeneous investment horizons, risk regimes, and realized jumps," Post-Print hal-02995997, HAL.
    6. Pata, Ugur Korkut & Yilanci, Veli & Zhang, Qianxiao & Shah, Syed Ale Raza, 2022. "Does financial development promote renewable energy consumption in the USA? Evidence from the Fourier-wavelet quantile causality test," Renewable Energy, Elsevier, vol. 196(C), pages 432-443.
    7. Jozef Baruník & Evžen Kocenda, 2019. "Total, Asymmetric and Frequency Connectedness Between Oil and Forex Markets," CESifo Working Paper Series 7756, CESifo.
    8. Dieter Hendricks & Tim Gebbie & Diane Wilcox, 2015. "Detecting intraday financial market states using temporal clustering," Papers 1508.04900, arXiv.org, revised Feb 2017.
    9. Naeem, Muhammad Abubakr & Karim, Sitara & Hasan, Mudassar & Lucey, Brian M. & Kang, Sang Hoon, 2022. "Nexus between oil shocks and agriculture commodities: Evidence from time and frequency domain," Energy Economics, Elsevier, vol. 112(C).
    10. Liu, Haiying & Pata, Ugur Korkut & Zafar, Muhammad Wasif & Kartal, Mustafa Tevfik & Karlilar, Selin & Caglar, Abdullah Emre, 2023. "Do oil and natural gas prices affect carbon efficiency? Daily evidence from China by wavelet transform-based approaches," Resources Policy, Elsevier, vol. 85(PB).
    11. Jozef Barunik & Lukas Vacha, 2015. "Realized wavelet-based estimation of integrated variance and jumps in the presence of noise," Quantitative Finance, Taylor & Francis Journals, vol. 15(8), pages 1347-1364, August.
    12. Yi-Ting Chen & Edward W. Sun & Min-Teh Yu, 2018. "Risk Assessment with Wavelet Feature Engineering for High-Frequency Portfolio Trading," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 653-684, August.
    13. Bera, Anil Kumar & Uyar, Umut & Kangalli Uyar, Sinem Guler, 2020. "Analysis of the five-factor asset pricing model with wavelet multiscaling approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 414-423.
    14. Jozef Barunik & Evzen Kocenda & Lukas Vacha, 2013. "Gold, Oil, and Stocks," Papers 1308.0210, arXiv.org, revised Mar 2014.
    15. Suleman, Muhammad Tahir & Rehman, Mobeen Ur & Sheikh, Umaid A. & Kang, Sang Hoon, 2023. "Dynamic time-frequency connectedness between European emissions trading system and sustainability markets," Energy Economics, Elsevier, vol. 123(C).
    16. Takaki Hayashi & Yuta Koike, 2017. "Multi-scale analysis of lead-lag relationships in high-frequency financial markets," Papers 1708.03992, arXiv.org, revised May 2020.
    17. Das, Debojyoti & Bhowmik, Puja & Jana, R.K., 2018. "A multiscale analysis of stock return co-movements and spillovers: Evidence from Pacific developed markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 379-393.
    18. Bekiros, Stelios D., 2015. "Heuristic learning in intraday trading under uncertainty," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 34-49.
    19. Long Hai Vo & Duc Hong Vo, 2020. "Modelling Australian Dollar Volatility at Multiple Horizons with High-Frequency Data," Risks, MDPI, vol. 8(3), pages 1-16, August.
    20. François Benhmad, 2011. "A wavelet analysis of oil price volatility dynamic," Economics Bulletin, AccessEcon, vol. 31(1), pages 792-806.
    21. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2020. "Dynamic frequency connectedness between oil and natural gas volatilities," Economic Modelling, Elsevier, vol. 84(C), pages 181-189.
    22. Swastika, Purti & Dewandaru, Ginanjar & Masih, Mansur, 2013. "The Impact of Debt on Economic Growth: A Case Study of Indonesia," MPRA Paper 58837, University Library of Munich, Germany.
    23. Theo Berger & Ramazan Gençay, 2020. "Short‐run wavelet‐based covariance regimes for applied portfolio management," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 642-660, July.
    24. Olivier Habimana, 2019. "Wavelet Multiresolution Analysis of the Liquidity Effect and Monetary Neutrality," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 85-110, January.
    25. Uluyol, Burhan & Hui Pu, Suan & Shaturaev, Jakhongir & Kanaparan, Geetha, 2023. "Cracking the Code of Market Secrets: A Deep Dive into Financial Anomalies," MPRA Paper 119039, University Library of Munich, Germany, revised 05 Oct 2023.
    26. Gradojevic, Nikola & Tsiakas, Ilias, 2021. "Volatility cascades in cryptocurrency trading," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 252-265.
    27. 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.
    28. Bhatia, Vaneet & Das, Debojyoti & Kumar, Surya Bhushan, 2020. "Hedging effectiveness of precious metals across frequencies: Evidence from Wavelet based Dynamic Conditional Correlation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    29. UÄŸur UrsavaÅŸ & Veli Yilanci, 2023. "Convergence analysis of ecological footprint at different time scales: Evidence from Southern Common Market countries," Energy & Environment, , vol. 34(2), pages 429-442, March.
    30. Antonis Michis, 2014. "Investing in Gold: Individual Asset Risk in the Long Run," Working Papers 2014-2, Central Bank of Cyprus.
    31. Benhmad, François, 2013. "Bull or bear markets: A wavelet dynamic correlation perspective," Economic Modelling, Elsevier, vol. 32(C), pages 576-591.
    32. Francis In & Sangbae Kim, 2012. "An Introduction to Wavelet Theory in Finance:A Wavelet Multiscale Approach," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8431, January.
    33. Vaclav Broz & Evzen Kocenda, 2020. "Mortgage-related bank penalties and systemic risk among U.S. banks," KIER Working Papers 1024, Kyoto University, Institute of Economic Research.
    34. Vincent Charvin & Jonathan Fullwood & Jessica James, 2014. "The fair value of FX options. Do you get what you pay for?," Quantitative Finance, Taylor & Francis Journals, vol. 14(1), pages 15-23, January.
    35. Mudassar Hasan & Muhammad Abubakr Naeem & Muhammad Arif & Syed Jawad Hussain Shahzad & Xuan Vinh Vo, 2022. "Liquidity connectedness in cryptocurrency market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    36. 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.
    37. BEN ABDALLAH Mohamed & TALBI Omar, 2024. "A Wavelet Analysis of Bitcoin Price Volatility Dynamic," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(1), pages 951-964, January.
    38. Alessandro Cardinali, 2009. "A Generalized Multiscale Analysis Of The Predictive Content Of Eurodollar Implied Volatilities," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 12(01), pages 1-18.
    39. Gallegati, Marco & Ramsey, James B., 2013. "Bond vs stock market's Q: Testing for stability across frequencies and over time," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 138-150.
    40. Thomas Conlon & John Cotter, 2012. "Downside risk and the energy hedger's horizon," Working Papers 201219, Geary Institute, University College Dublin.
    41. 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.
    42. Caporin, Massimiliano & Naeem, Muhammad Abubakr & Arif, Muhammad & Hasan, Mudassar & Vo, Xuan Vinh & Hussain Shahzad, Syed Jawad, 2021. "Asymmetric and time-frequency spillovers among commodities using high-frequency data," Resources Policy, Elsevier, vol. 70(C).
    43. 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.
    44. Marco Gallegati & Mauro Gallegati & James B. Ramsey & Willi Semmler, 2017. "Long waves in prices: new evidence from wavelet analysis," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 11(1), pages 127-151, January.
    45. Juliana Malagon & David Moreno & Rosa Rodr�guez, 2015. "Time horizon trading and the idiosyncratic risk puzzle," Quantitative Finance, Taylor & Francis Journals, vol. 15(2), pages 327-343, February.
    46. 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.
    47. Mudassar Hasan & Muhammad Abubakr Naeem & Muhammad Arif & Syed Jawad Hussain Shahzad & Safwan Mohd Nor, 2020. "Geopolitical Risk and Tourism Stocks of Emerging Economies," Sustainability, MDPI, vol. 12(21), pages 1-21, November.
    48. Hafner, Christian, 2012. "Cross-correlating wavelet coefficients with applications to high-frequency financial time series," LIDAM Reprints ISBA 2012027, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    49. Roger Bowden & Jennifer Zhu, 2010. "Multi-scale variation, path risk and long-term portfolio management," Quantitative Finance, Taylor & Francis Journals, vol. 10(7), pages 783-796.
    50. Gallegati, Marco & Delli Gatti, Domenico, 2018. "Macrofinancial imbalances in historical perspective: A global crisis index," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 190-205.
    51. 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.
    52. Arif, Muhammad & Hasan, Mudassar & Alawi, Suha M. & Naeem, Muhammad Abubakr, 2021. "COVID-19 and time-frequency connectedness between green and conventional financial markets," Global Finance Journal, Elsevier, vol. 49(C).
    53. Muhammad Abubakr Naeem & Mudassar Hasan & Abraham Agyemang & Md Iftekhar Hasan Chowdhury & Faruk Balli, 2023. "Time‐frequency dynamics between fear connectedness of stocks and alternative assets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 2188-2201, April.
    54. Al Rababa’a, Abdel Razzaq & Alomari, Mohammad & McMillan, David, 2021. "Multiscale stock-bond correlation: Implications for risk management," Research in International Business and Finance, Elsevier, vol. 58(C).
    55. Muhammed Sehid Gorus & Veli Yilanci & Maxwell Kongkuah, 2023. "FDI Inflows-Economic Globalization Nexus in ASEAN Countries: The Panel Bootstrap Causality Test Based on Wavelet Decomposition," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(2), pages 339-362, June.
    56. Sun, Edward W. & Chen, Yi-Ting & Yu, Min-Teh, 2015. "Generalized optimal wavelet decomposing algorithm for big financial data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 194-214.

  5. Faruk Selcuk & Ramazan Gencay, 2001. "Overnight Borrowing, Interest Rates and Extreme Value Theory," Working Papers 0103, Department of Economics, Bilkent University.

    Cited by:

    1. Kuzubaş, Tolga Umut & Ömercikoğlu, Inci & Saltoğlu, Burak, 2014. "Network centrality measures and systemic risk: An application to the Turkish financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 203-215.
    2. Ardic, Oya Pinar, 2006. "Output, the Real Exchange Rate, and the Crises in Turkey," MPRA Paper 6099, University Library of Munich, Germany.
    3. Rashid Nikzad & David McDonald, 2017. "Extreme Value Theory with an Application to Bank Failures through Contagion," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(3), pages 1-6.
    4. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    5. Nikola Gradojevic & Ramazan Gençay, 2009. "Overnight Interest Rates and Aggregate Market Expectations," Working Paper series 26_09, Rimini Centre for Economic Analysis.
    6. Rodolfo Mendez-Marcano & Jose Pineda, 2014. "Fiscal Sustainability and Economic Growth in Bolivia," Working Papers 1406, BBVA Bank, Economic Research Department.
    7. Ahmet Can Ýnci, 2007. "Currency and yield Co-integration between a developed and an emerging Country: The Case of Turkey," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 21(1+2), pages 1-20.
    8. U. Ozlale & E. Yeldan, 2004. "Measuring exchange rate misalignment in Turkey," Applied Economics, Taylor & Francis Journals, vol. 36(16), pages 1839-1849.
    9. Ardic, Oya Pinar & Yuzereroglu, Uygar, 2007. "How Do Individuals Choose Banks? An Application to Household Level Data from Turkey," MPRA Paper 6096, University Library of Munich, Germany.
    10. Oya Pinar Ardic & Uygar Yuzereroglu, 2006. "A Multinomial Logit Model of Bank Choice: An Application to Turkey," Working Papers 2006/02, Bogazici University, Department of Economics.
    11. Umit Ozale & Erinc Yeldan, 2002. "Measuring Exchange Rate Misalignment," Working Papers 0206, Economic Research Forum, revised 14 Feb 2002.
    12. 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.
    13. Raphael Solomon, 2004. "When Bad Things Happen to Good Banks: Contagious Bank Runs and Currency Crises," Staff Working Papers 04-18, Bank of Canada.
    14. Bi, Guang & Giles, David E., 2009. "Modelling the financial risk associated with U.S. movie box office earnings," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2759-2766.

  6. Faruk Selcuk & Erinc Yeldan, 2000. "On The Macroeconomic Impact Of The August, 1999 Earthquake In Turkey: A First Assessment," Working Papers 2001, Economic Research Forum, revised 01 Jun 2000.

    Cited by:

    1. Noy, Ilan, 2009. "The macroeconomic consequences of disasters," Journal of Development Economics, Elsevier, vol. 88(2), pages 221-231, March.
    2. Carlos Adri?n Romero & Omar Osvaldo Chisari & Leonardo Javier Mastronardi & Arturo Leonardo V?squez Cordano, 2015. "The cost of failing to prevent gas supply interruption: A CGE assessment for Peru," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2015(2), pages 131-148.
    3. Ilan Noy & Tam Bang Vu, 2009. "The Economics of Natural Disasters in a Developing Country: The Case of Vietnam," Working Papers 200903, University of Hawaii at Manoa, Department of Economics.
    4. Klomp, Jeroen, 2020. "Do natural disasters affect monetary policy? A quasi-experiment of earthquakes," Journal of Macroeconomics, Elsevier, vol. 64(C).
    5. Matthew A. COLE & Robert J R ELLIOTT & OKUBO Toshihiro & Eric STROBL, 2013. "Natural Disasters and Plant Survival: The impact of the Kobe earthquake," Discussion papers 13063, Research Institute of Economy, Trade and Industry (RIETI).
    6. Altinay, Galip, 2007. "Short-run and long-run elasticities of import demand for crude oil in Turkey," Energy Policy, Elsevier, vol. 35(11), pages 5829-5835, November.
    7. Matthew A. COLE & Robert J R ELLIOTT & OKUBO Toshihiro & Eric STROBL, 2015. "Natural Disasters, Industrial Clusters and Manufacturing Plant Survival," Discussion papers 15008, Research Institute of Economy, Trade and Industry (RIETI).
    8. Jeroen Klomp & John Sseruyange, 2021. "Earthquakes and Economic Outcomes: Does Central Bank Independence Matter?," Open Economies Review, Springer, vol. 32(2), pages 335-359, April.
    9. Umberto Monarca & Ernesto Cassetta & Alessandro Sarra & Cesare Pozzi, 2015. "Integrating renewable energy sources into electricity markets: Power system operation, resource adequacy and market design," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2015(2), pages 149-166.

  7. Faruk Selcuk, 1997. "A Brief Account of the Turkish Economy, 1987-1996," Working Papers 9701, Department of Economics, Bilkent University.

    Cited by:

    1. Ebru Voyvoda & Erinc Yeldan, 2015. "Aspects of Fiscal Policy in Turkey," Working papers wpaper109, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.

  8. Faruk Selcuk, 1996. "Seignorage and Dollarization in a High Inflation Economy : Evidence from Turkey," Working Papers 9607, Department of Economics, Bilkent University.

    Cited by:

    1. Diao, Xinshen & Roe, Terry L. & Yeldan, A. Erinc, 1998. "How Fiscal (Mis)-Management May Impede Trade Reform: Lessons From an Intertemporal, Multi-Sector General Equilibrium Model for Turkey," Bulletins 7459, University of Minnesota, Economic Development Center.

Articles

  1. Ramazan Gençay & Nikola Gradojevic & Richard Olsen & Faruk Selçuk, 2015. "Informed traders’ arrival in foreign exchange markets: Does geography matter?," Empirical Economics, Springer, vol. 49(4), pages 1431-1462, December.
    See citations under working paper version above.
  2. Ramazan Gencay & Nikola Gradojevic & Faruk Selcuk & Brandon Whitcher, 2010. "Asymmetry of information flow between volatilities across time scales," Quantitative Finance, Taylor & Francis Journals, vol. 10(8), pages 895-915.
    See citations under working paper version above.
  3. Selçuk, Faruk & Gençay, Ramazan, 2006. "Intraday dynamics of stock market returns and volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 375-387.

    Cited by:

    1. Onali, Enrico & Goddard, John, 2009. "Unifractality and multifractality in the Italian stock market," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 154-163, September.
    2. Chu, Carlin C.F. & Lam, K.P., 2011. "Modeling intraday volatility: A new consideration," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(3), pages 388-418, July.
    3. Wang, Dong-Hua & Yu, Xiao-Wen & Suo, Yuan-Yuan, 2012. "Statistical properties of the yuan exchange rate index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(12), pages 3503-3512.
    4. Guo-Hua Mu & Wei-Xing Zhou, 2007. "Relaxation dynamics of aftershocks after large volatility shocks in the SSEC index," Papers 0709.1219, arXiv.org.
    5. Naeem, Muhammad & Shahbaz, Muhammad & Saleem, Kashif & Mustafa, Faisal, 2019. "Risk analysis of high frequency precious metals returns by using long memory model," Resources Policy, Elsevier, vol. 61(C), pages 399-409.
    6. Negrea, Bogdan, 2014. "A statistical measure of financial crises magnitude," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 397(C), pages 54-75.
    7. Wei, Yu & Chen, Wang & Lin, Yu, 2013. "Measuring daily Value-at-Risk of SSEC index: A new approach based on multifractal analysis and extreme value theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2163-2174.

  4. Gencay, Ramazan & Selcuk, Faruk, 2006. "Overnight borrowing, interest rates and extreme value theory," European Economic Review, Elsevier, vol. 50(3), pages 547-563, April.
    See citations under working paper version above.
  5. Oya Pınar Ardıc & Faruk Selcuk, 2006. "The dynamics of a newly floating exchange rate: the Turkish case," Applied Economics, Taylor & Francis Journals, vol. 38(8), pages 931-941.

    Cited by:

    1. Levent, Korap, 2007. "Information content of exchange rate volatility: Turkish experience," MPRA Paper 19598, University Library of Munich, Germany.
    2. Nedeljković, Milan & Urošević, Branko, 2012. "Determinants of the Dinar-Euro Nominal Exchange Rate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 121-141, September.
    3. Levent, Korap, 2008. "Asymmetric information content of the YTL/US$ exchange rate return: new evidence from the post-crisis data using arma-egarch-m modeling," MPRA Paper 19631, University Library of Munich, Germany.
    4. Ardic, Oya Pinar & Yuzereroglu, Uygar, 2007. "How Do Individuals Choose Banks? An Application to Household Level Data from Turkey," MPRA Paper 6096, University Library of Munich, Germany.
    5. Alper, Emre & Hatipoglu, Ozan, 2009. "The Conduct of Monetary Policy in Turkey in the Pre- and Post-crisis Period of 2001 in Comparative Perspective: a Case for Central Bank Independence," MPRA Paper 18426, University Library of Munich, Germany.
    6. Levent, Korap, 2007. "Analyzing CBRT's FOREX interventions using EGARCH (2001-2006)," MPRA Paper 20634, University Library of Munich, Germany.

  6. Faruk Selçuk, 2005. "The Policy Challenge with Floating Exchange Rates: Turkey’s Recent Experience," Open Economies Review, Springer, vol. 16(3), pages 295-312, July.

    Cited by:

    1. Saadet Kasman & Duygu Ayhan, 2006. "Macroeconomic Volatility under Alternative Exchange Rate Regimes in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 6(2), pages 37-58.
    2. Metin-Özcan, Kıvılcım & Us, Vuslat, 2007. "Dedollarization in Turkey after decades of dollarization: A myth or reality?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(1), pages 292-306.
    3. Mr. Marco Airaudo & Mr. Edward F Buffie & Luis-Felipe Zanna, 2016. "Inflation Targeting and Exchange Rate Management In Less Developed Countries," IMF Working Papers 2016/055, International Monetary Fund.
    4. Buffie, Edward F. & Airaudo, M. & Zanna, Felipe, 2018. "Inflation targeting and exchange rate management in less developed countries," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 159-184.

  7. Gencay, Ramazan & Selcuk, Faruk & Whitcher, Brandon, 2005. "Multiscale systematic risk," Journal of International Money and Finance, Elsevier, vol. 24(1), pages 55-70, February.

    Cited by:

    1. Bandi, Federico M. & Chaudhuri, Shomesh E. & Lo, Andrew W. & Tamoni, Andrea, 2021. "Spectral factor models," Journal of Financial Economics, Elsevier, vol. 142(1), pages 214-238.
    2. Gazi Salah Uddin & Jose Areola Hernandez & Syed Jawad Hussain Shahzad & Seong-Min Yoon, 2018. "Time-varying evidence of efficiency, decoupling, and diversification of conventional and Islamic stocks," Post-Print hal-01997844, HAL.
    3. Power, Gabriel J. & Eaves, James & Turvey, Calum & Vedenov, Dmitry, 2017. "Catching the curl: Wavelet thresholding improves forward curve modelling," Economic Modelling, Elsevier, vol. 64(C), pages 312-321.
    4. Thomas Conlon & John Cotter & Chenglu Jin, 2019. "Co-skewness across Return Horizons," Working Papers 201910, Geary Institute, University College Dublin.
    5. el Alaoui, AbdelKader O. & Ismath Bacha, Obiyathulla & Masih, Mansur & Asutay, Mehmet, 2017. "Leverage versus volatility: Evidence from the capital structure of European firms," Economic Modelling, Elsevier, vol. 62(C), pages 145-160.
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    6. Matteo Grigoletto & Francesco Lisi, 2011. "Practical implications of higher moments in risk management," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(4), pages 487-506, November.
    7. 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.
    8. Shahzad, Syed Jawad Hussain & Kumar, Ronald Ravinesh & Ali, Sajid & Ameer, Saba, 2016. "Interdependence between Greece and other European stock markets: A comparison of wavelet and VMD copula, and the portfolio implications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 8-33.
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    11. 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.
    12. Karmakar, Madhusudan & Paul, Samit, 2016. "Intraday risk management in International stock markets: A conditional EVT approach," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 34-55.
    13. Mouridi M. HAMIDOU & Joseph K. Mung'atu & George O. Orwa, 2018. "Return Levels Approach and Periods of Currency Crises," Journal of Mathematics Research, Canadian Center of Science and Education, vol. 10(3), pages 77-96, June.
    14. Dimitrakopoulos, Dimitris N. & Kavussanos, Manolis G. & Spyrou, Spyros I., 2010. "Value at risk models for volatile emerging markets equity portfolios," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 515-526, November.
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    16. Szubzda Filip & Chlebus Marcin, 2019. "Comparison of Block Maxima and Peaks Over Threshold Value-at-Risk models for market risk in various economic conditions," Central European Economic Journal, Sciendo, vol. 6(53), pages 70-85, January.
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    20. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    21. Auerbach, Jonathan & Wan, Phyllis, 2020. "Forecasting the urban skyline with extreme value theory," International Journal of Forecasting, Elsevier, vol. 36(3), pages 814-828.
    22. Wijeyakulasuriya D. A. & Wickremasinghe W. N., 2015. "Measuring Extreme Market Risk: The Sri Lankan Context," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 9(2), pages 185-201, July.
    23. Milica D. Obadović & Mirjana M. Obadović, 2009. "An Analytical Method Of Estimating Value-At-Risk On The Belgrade Stock Exchange," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 54(183), pages 119-138, October -.
    24. Orlowski, Lucjan T., 2012. "Financial crisis and extreme market risks: Evidence from Europe," Review of Financial Economics, Elsevier, vol. 21(3), pages 120-130.
    25. Abad, Pilar & Benito, Sonia, 2013. "A detailed comparison of value at risk estimates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 258-276.
    26. Fong Chan, Kam & Gray, Philip, 2006. "Using extreme value theory to measure value-at-risk for daily electricity spot prices," International Journal of Forecasting, Elsevier, vol. 22(2), pages 283-300.
    27. Onour, Ibrahim, 2009. "Extreme Risk and Fat-tails Distribution Model:Empirical Analysis," MPRA Paper 17736, University Library of Munich, Germany, revised 20 Sep 2009.
    28. Haque, Mahfuzul & Varela, Oscar & Hassan, M. Kabir, 2007. "Safety-first and extreme value bilateral U.S.-Mexican portfolio optimization around the peso crisis and NAFTA in 1994," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(3), pages 449-469, July.
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    30. Lu-Tao Zhao & Li-Na Liu & Zi-Jie Wang & Ling-Yun He, 2019. "Forecasting Oil Price Volatility in the Era of Big Data: A Text Mining for VaR Approach," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    31. Sasa Zikovic & Randall Filer, 2009. "Hybrid Historical Simulation VaR and ES: Performance in Developed and Emerging Markets," CESifo Working Paper Series 2820, CESifo.
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    33. Dr. Ibrahim Onour, "undated". "The Global Financial Crisis and Equity Markets in Middle East Oil Exporting Countries," API-Working Paper Series 1009, Arab Planning Institute - Kuwait, Information Center.
    34. Ozun, Alper & Cifter, Atilla & Yilmazer, Sait, 2007. "Filtered Extreme Value Theory for Value-At-Risk Estimation," MPRA Paper 3302, University Library of Munich, Germany.
    35. Gencay, Ramazan & Selcuk, Faruk, 2006. "Overnight borrowing, interest rates and extreme value theory," European Economic Review, Elsevier, vol. 50(3), pages 547-563, April.
    36. 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.
    37. Bekiros, Stelios D. & Georgoutsos, Dimitris A., 2008. "The extreme-value dependence of Asia-Pacific equity markets," Journal of Multinational Financial Management, Elsevier, vol. 18(3), pages 197-208, July.
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    39. Vêlayoudom Marimoutou & Bechir Raggad & Abdelwahed Trabelsi, 2006. "Extreme Value Theory and Value at Risk : Application to Oil Market," Working Papers halshs-00410746, HAL.
    40. Kittiya Chaithep & Songsak Sriboonchitta & Chukiat Chaiboonsri & Pathairat Pastpipatkul, 2012. "Value at Risk Analysis of Gold Price Returns Using Extreme Value Theory," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 1(4), pages 151-168, December.
    41. 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.
    42. Rodolfo Mendez-Marcano & Jose Pineda, 2014. "Fiscal Sustainability and Economic Growth in Bolivia," Working Papers 1406, BBVA Bank, Economic Research Department.
    43. Michael P. Clements & Philip Hans Franses & Norman R. Swanson, 2003. "Forecasting economic and financial time-series with non-linear models," Departmental Working Papers 200309, Rutgers University, Department of Economics.
    44. Zuoxiang, Peng & Miaomiao, Liu & Nadarajah, Saralees, 2010. "Asymptotic expansions for the location invariant moment-type estimator," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(5), pages 982-998.
    45. Shi Bo & Minheng Xiao, 2022. "Dynamic Risk Measurement by EVT based on Stochastic Volatility models via MCMC," Papers 2201.09434, arXiv.org, revised Jun 2023.
    46. Negrea, Bogdan, 2014. "A statistical measure of financial crises magnitude," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 397(C), pages 54-75.
    47. Alexander, Carol & Sheedy, Elizabeth, 2008. "Developing a stress testing framework based on market risk models," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2220-2236, October.
    48. Yu, Wenhua & Yang, Kun & Wei, Yu & Lei, Likun, 2018. "Measuring Value-at-Risk and Expected Shortfall of crude oil portfolio using extreme value theory and vine copula," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1423-1433.
    49. Roni Bhowmik & Wu Chao & Wang Shouyang & Jewel Roy Kumar, 2017. "A Study on the Volatility of the Bangladesh Stock Market — Based on GARCH Type Models," Journal of Systems Science and Information, De Gruyter, vol. 5(3), pages 193-215, June.
    50. Wang, Xinya & Lucey, Brian & Huang, Shupei, 2022. "Can gold hedge against oil price movements: Evidence from GARCH-EVT wavelet modeling," Journal of Commodity Markets, Elsevier, vol. 27(C).
    51. Tolikas, Konstantinos & Gettinby, Gareth D., 2009. "Modelling the distribution of the extreme share returns in Singapore," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 254-263, March.
    52. He, Kaijian & Lai, Kin Keung & Yen, Jerome, 2011. "Value-at-risk estimation of crude oil price using MCA based transient risk modeling approach," Energy Economics, Elsevier, vol. 33(5), pages 903-911, September.
    53. Arian, Hamid & Moghimi, Mehrdad & Tabatabaei, Ehsan & Zamani, Shiva, 2022. "Encoded Value-at-Risk: A machine learning approach for portfolio risk measurement," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 202(C), pages 500-525.
    54. Wei, Yu & Chen, Wang & Lin, Yu, 2013. "Measuring daily Value-at-Risk of SSEC index: A new approach based on multifractal analysis and extreme value theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2163-2174.
    55. Ahmet Göncü & Mehmet Oguz Karahan & Tolga Umut Kuzubas, 2013. "Fitting the Variance-Gamma Model: A Goodness-of-Fit Check for Emerging Markets," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 27(2), pages 1-10.
    56. Mahfuzul Haque & Oscar Varela, 2010. "US-Thailand Bilateral Safety-first Portfolio Optimisation around the 1997 Asian Financial Crisis," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 9(2), pages 171-197, August.
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    58. Rizvi, Syed Aun R. & Arshad, Shaista, 2017. "Analysis of the efficiency–integration nexus of Japanese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 296-308.
    59. Siva Kiran GUPTHA. K & Prabhakar RAO. R, 2019. "GARCH based VaR estimation: An empirical evidence from BRICS stock markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(621), W), pages 201-218, Winter.
    60. Marimoutou, Velayoudoum & Raggad, Bechir & Trabelsi, Abdelwahed, 2009. "Extreme Value Theory and Value at Risk: Application to oil market," Energy Economics, Elsevier, vol. 31(4), pages 519-530, July.
    61. Goran Andjelic & Ivana Milosev & Vladimir Djakovic, 2010. "Extreme Value Theory In Emerging Markets," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 55(185), pages 63-106, April - J.
    62. Joel Hinaunye Eita & Charles Raoul Tchuinkam Djemo, 2022. "Quantifying Foreign Exchange Risk in the Selected Listed Sectors of the Johannesburg Stock Exchange: An SV-EVT Pairwise Copula Approach," IJFS, MDPI, vol. 10(2), pages 1-29, April.
    63. 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.
    64. Ra l de Jes s-Guti rrez & Roberto J. Santill n-Salgado, 2019. "Conditional Extreme Values Theory and Tail-related Risk Measures: Evidence from Latin American Stock Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 127-141.
    65. Hamed Tabasi & Vahidreza Yousefi & Jolanta Tamošaitienė & Foroogh Ghasemi, 2019. "Estimating Conditional Value at Risk in the Tehran Stock Exchange Based on the Extreme Value Theory Using GARCH Models," Administrative Sciences, MDPI, vol. 9(2), pages 1-17, May.

  9. Selçuk, Faruk, 2004. "Financial earthquakes, aftershocks and scaling in emerging stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 306-316.

    Cited by:

    1. Rizvi, Syed Aun R. & Dewandaru, Ginanjar & Bacha, Obiyathulla I. & Masih, Mansur, 2014. "An analysis of stock market efficiency: Developed vs Islamic stock markets using MF-DFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 86-99.
    2. Shapoval, A., 2010. "Prediction problem for target events based on the inter-event waiting time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5145-5154.
    3. Siokis, Fotios M., 2012. "Stock market dynamics: Before and after stock market crashes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1315-1322.
    4. Guo-Hua Mu & Wei-Xing Zhou, 2007. "Relaxation dynamics of aftershocks after large volatility shocks in the SSEC index," Papers 0709.1219, arXiv.org.
    5. Negrea, Bogdan, 2014. "A statistical measure of financial crises magnitude," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 397(C), pages 54-75.
    6. Kapopoulos, Panayotis & Siokis, Fotios, 2005. "Stock market crashes and dynamics of aftershocks," Economics Letters, Elsevier, vol. 89(1), pages 48-54, October.
    7. Siokis, Fotios M., 2012. "The dynamics of a complex system: The exchange rate crisis in Southeast Asia," Economics Letters, Elsevier, vol. 114(1), pages 98-101.

  10. Selçuk, Faruk, 2004. "Free float and stochastic volatility: the experience of a small open economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 342(3), pages 693-700.

    Cited by:

    1. Kasman, Adnan & Ayhan, Duygu, 2008. "Foreign exchange reserves and exchange rates in Turkey: Structural breaks, unit roots and cointegration," Economic Modelling, Elsevier, vol. 25(1), pages 83-92, January.
    2. Wei, Yu, 2012. "Forecasting volatility of fuel oil futures in China: GARCH-type, SV or realized volatility models?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5546-5556.

  11. Gencay, Ramazan & Selcuk, Faruk & Ulugulyagci, Abdurrahman, 2003. "High volatility, thick tails and extreme value theory in value-at-risk estimation," Insurance: Mathematics and Economics, Elsevier, vol. 33(2), pages 337-356, October.

    Cited by:

    1. Sofiane Aboura, 2014. "When the U.S. Stock Market Becomes Extreme?," Risks, MDPI, vol. 2(2), pages 1-15, May.
    2. Herrera, Rodrigo & Schipp, Bernhard, 2013. "Value at risk forecasts by extreme value models in a conditional duration framework," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 33-47.
    3. Ana-Maria Gavril, 2009. "Exchange Rate Risk: Heads or Tails," Advances in Economic and Financial Research - DOFIN Working Paper Series 35, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
    4. Saša ŽIKOVIÆ & Randall K. FILER, 2013. "Ranking of VaR and ES Models: Performance in Developed and Emerging Markets," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(4), pages 327-359, August.
    5. Karmakar, Madhusudan & Shukla, Girja K., 2015. "Managing extreme risk in some major stock markets: An extreme value approach," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 1-25.
    6. Karmakar, Madhusudan & Paul, Samit, 2016. "Intraday risk management in International stock markets: A conditional EVT approach," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 34-55.
    7. Dimitrakopoulos, Dimitris N. & Kavussanos, Manolis G. & Spyrou, Spyros I., 2010. "Value at risk models for volatile emerging markets equity portfolios," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 515-526, November.
    8. Szubzda Filip & Chlebus Marcin, 2019. "Comparison of Block Maxima and Peaks Over Threshold Value-at-Risk models for market risk in various economic conditions," Central European Economic Journal, Sciendo, vol. 6(53), pages 70-85, January.
    9. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    10. Milica D. Obadović & Mirjana M. Obadović, 2009. "An Analytical Method Of Estimating Value-At-Risk On The Belgrade Stock Exchange," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 54(183), pages 119-138, October -.
    11. Fong Chan, Kam & Gray, Philip, 2006. "Using extreme value theory to measure value-at-risk for daily electricity spot prices," International Journal of Forecasting, Elsevier, vol. 22(2), pages 283-300.
    12. Haque, Mahfuzul & Varela, Oscar & Hassan, M. Kabir, 2007. "Safety-first and extreme value bilateral U.S.-Mexican portfolio optimization around the peso crisis and NAFTA in 1994," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(3), pages 449-469, July.
    13. Sasa Zikovic & Randall Filer, 2009. "Hybrid Historical Simulation VaR and ES: Performance in Developed and Emerging Markets," CESifo Working Paper Series 2820, CESifo.
    14. Singh, Abhay K. & Allen, David E. & Robert, Powell J., 2013. "Extreme market risk and extreme value theory," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 310-328.
    15. Mapa, Dennis S. & Suaiso, Oliver Q., 2009. "Measuring market risk using extreme value theory," MPRA Paper 21246, University Library of Munich, Germany.
    16. Ozun, Alper & Cifter, Atilla & Yilmazer, Sait, 2007. "Filtered Extreme Value Theory for Value-At-Risk Estimation," MPRA Paper 3302, University Library of Munich, Germany.
    17. Vêlayoudom Marimoutou & Bechir Raggad & Abdelwahed Trabelsi, 2006. "Extreme Value Theory and Value at Risk : Application to Oil Market," Working Papers halshs-00410746, HAL.
    18. Zuoxiang, Peng & Miaomiao, Liu & Nadarajah, Saralees, 2010. "Asymptotic expansions for the location invariant moment-type estimator," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(5), pages 982-998.
    19. Łukasz Kuźmiński & Michał Nadolny & Henryk Wojtaszek, 2020. "Probabilistic Quantification in the Analysis of Flood Risks in Cross-Border Areas of Poland and Germany," Energies, MDPI, vol. 13(22), pages 1-16, November.
    20. 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.
    21. 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.
    22. He, Kaijian & Lai, Kin Keung & Yen, Jerome, 2011. "Value-at-risk estimation of crude oil price using MCA based transient risk modeling approach," Energy Economics, Elsevier, vol. 33(5), pages 903-911, September.
    23. Ghorbel, Ahmed & Trabelsi, Abdelwahed, 2007. "Predictive Performance of Conditional Extreme Value Theory and Conventional Methods in Value at Risk Estimation," MPRA Paper 3963, University Library of Munich, Germany.
    24. 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.
    25. Marimoutou, Velayoudoum & Raggad, Bechir & Trabelsi, Abdelwahed, 2009. "Extreme Value Theory and Value at Risk: Application to oil market," Energy Economics, Elsevier, vol. 31(4), pages 519-530, July.
    26. 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.
    27. He, Kaijian & Yu, Lean & Tang, Ling, 2015. "Electricity price forecasting with a BED (Bivariate EMD Denoising) methodology," Energy, Elsevier, vol. 91(C), pages 601-609.
    28. 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.
    29. Bi, Guang & Giles, David E., 2009. "Modelling the financial risk associated with U.S. movie box office earnings," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2759-2766.
    30. Lin, Jin-Guan & Huang, Chao & Zhuang, Qing-Yun & Zhu, Li-Ping, 2010. "Estimating generalized state density of near-extreme events and its applications in analyzing stock data," Insurance: Mathematics and Economics, Elsevier, vol. 47(1), pages 13-20, August.

  12. Selcuk, Faruk, 2003. "Currency substitution: new evidence from emerging economies," Economics Letters, Elsevier, vol. 78(2), pages 219-224, February.

    Cited by:

    1. Olga Aslanidi, 2008. "Dollarization in Transition Economies: New Evidence from Georgia," CERGE-EI Working Papers wp366, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    2. Reimers, Hans-Eggert & Roffia, Barbara & Dreger, Christian, 2006. "Long-run money demand in the new EU Member States with exchange rate effects," Working Paper Series 628, European Central Bank.
    3. Metin-Özcan, Kıvılcım & Us, Vuslat, 2007. "Dedollarization in Turkey after decades of dollarization: A myth or reality?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(1), pages 292-306.
    4. Mr. Marco Airaudo & Mr. Edward F Buffie & Luis-Felipe Zanna, 2016. "Inflation Targeting and Exchange Rate Management In Less Developed Countries," IMF Working Papers 2016/055, International Monetary Fund.
    5. Özbilgin, Murat H., 2012. "Currency substitution, inflation, and welfare," Journal of Development Economics, Elsevier, vol. 99(2), pages 358-369.
    6. Fullerton, Thomas M., Jr. & Molina, Angel L., Jr. & Pisani, Michael J., 2009. "Peso Acceptance Patterns in El Paso," MPRA Paper 17900, University Library of Munich, Germany, revised 19 Jun 2009.
    7. Aytac, Ozlem, 2015. "A model of a heterodox exchange rate based stabilization," Economic Modelling, Elsevier, vol. 46(C), pages 100-117.
    8. Ivan Milenković & Milivoje Davidović, 2013. "Determinants of Currency Substitution/Dollarization – The Case of the Republic of Serbia," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 2(1), pages 139-155.
    9. Michael J. Pisani & Thomas M. Fullerton, Jr., 2013. "Microenterprise Peso Acceptance in El Paso, Texas," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 75-94, November.
    10. Yoskowitz, David W. & Pisani, Michael J., 2007. "Risk and reward: Currency substitution and acceptance of the Mexican peso by firms in the United States southern frontier," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(3), pages 422-434, July.
    11. Angela Ifeanyi Ujunwa & Augustine Ujunwa & Emmanuel Onah & Nnenna Georgina Nwonye & Onyedikachi David Chukwunwike, 2021. "Extending the determinants of currency substitution in Nigeria: Any role for financial innovation?," South African Journal of Economics, Economic Society of South Africa, vol. 89(4), pages 590-607, December.
    12. Airaudo, Marco, 2012. "Endogenous Dollarization, Sovereign Risk Premia and the Taylor Principle," School of Economics Working Paper Series 2012-11, LeBow College of Business, Drexel University.
    13. Max Fuchs & Jochen Michaelis, 2022. "Is a Secondary Currency Essential? – On the Welfare Effects of a New Currency," MAGKS Papers on Economics 202205, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    14. Buffie, Edward F. & Airaudo, M. & Zanna, Felipe, 2018. "Inflation targeting and exchange rate management in less developed countries," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 159-184.

  13. Gençay Ramazan & Selçuk Faruk & Ulugülyagci Abdurrahman, 2001. "EVIM: A Software Package for Extreme Value Analysis in MATLAB," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(3), pages 1-29, October.

    Cited by:

    1. Sheri Markose & Amadeo Alentorn, 2005. "Option Pricing and the Implied Tail Index with the Generalized Extreme Value (GEV) Distribution," Computing in Economics and Finance 2005 397, Society for Computational Economics.

  14. Gençay, Ramazan & Selçuk, Faruk & Whitcher, Brandon, 2001. "Scaling properties of foreign exchange volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 289(1), pages 249-266.

    Cited by:

    1. T. Di Matteo & T. Aste & Michel M. Dacorogna, 2004. "Using the Scaling Analysis to Characterize Financial Markets," Finance 0402014, University Library of Munich, Germany.
    2. Nava, Noemi & Di Matteo, T. & Aste, Tomaso, 2016. "Anomalous volatility scaling in high frequency financial data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 434-445.
    3. Dutta, Srimonti & Ghosh, Dipak & Chatterjee, Sucharita, 2016. "Multifractal detrended Cross Correlation Analysis of Foreign Exchange and SENSEX fluctuation in Indian perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 188-201.
    4. el Alaoui, Abdelkader O. & Dewandaru, Ginanjar & Azhar Rosly, Saiful & Masih, Mansur, 2015. "Linkages and co-movement between international stock market returns: Case of Dow Jones Islamic Dubai Financial Market index," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 53-70.
    5. Saumya Ranjan Dash & Debasish Maitra & Byomakesh Debata & Jitendra Mahakud, 2021. "Economic policy uncertainty and stock market liquidity: Evidence from G7 countries," International Review of Finance, International Review of Finance Ltd., vol. 21(2), pages 611-626, June.
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    7. Shahzad, Syed Jawad Hussain & Kumar, Ronald Ravinesh & Ali, Sajid & Ameer, Saba, 2016. "Interdependence between Greece and other European stock markets: A comparison of wavelet and VMD copula, and the portfolio implications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 8-33.
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    60. Ali, Hakim & Masih, Mansur, 2016. "Evidence of cross-country portfolio diversification benefits: The case of Saudi Arabia," MPRA Paper 72180, University Library of Munich, Germany.
    61. Corbet, Shaen & Gurdgiev, Constantin & Meegan, Andrew, 2018. "Long-term stock market volatility and the influence of terrorist attacks in Europe," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 118-131.
    62. Stelios Bekiros, 2014. "Timescale Analysis with an Entropy-Based Shift-Invariant Discrete Wavelet Transform," Computational Economics, Springer;Society for Computational Economics, vol. 44(2), pages 231-251, August.

  16. Faruk Selcuk & Erinc Yeldan, 2001. "On the macroeconomic impact of the August 1999 earthquake in Turkey: a first assessment," Applied Economics Letters, Taylor & Francis Journals, vol. 8(7), pages 483-488.
    See citations under working paper version above.
  17. Faruk SELÇUK, 1993. "Reel Döviz Kurları Üzerine," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 8(84), pages 9-18.

    Cited by:

    1. Erlat, Güzin & Arslaner, Ferhat, 1997. "Measuring the Real Exchange Rate: Annual Series for Turkey," MPRA Paper 45999, University Library of Munich, Germany.
    2. Erlat, Güzin & Arslaner, Ferhat, 1997. "Measuring Annual Real Exchange Rate Series for Turkey," MPRA Paper 56396, University Library of Munich, Germany.
    3. Erlat, Güzin & Arslaner, Ferhat, 1997. "Measuring Annual Real Exchange Rates: Series for Turkey," MPRA Paper 45996, University Library of Munich, Germany.

Books

  1. Kibritçioğlu, Aykut & Rittenberg, Libby & Selçuk, Faruk & Akçay, O. Cevdet & Alper, C. Emre & Berument, M. Hakan & Dibooğlu, Selahattin & Erlat, Haluk & Ertuğrul, Ahmet & Malatyalı, N. Kamuran & Nas, , 2002. "Inflation and Disinflation in Turkey," EconStor Books, ZBW - Leibniz Information Centre for Economics, number 110203, July.

    Cited by:

    1. Sel Dibooglu & Aykut Kibritcioglu, 2003. "Inflation, Output Growth, and Stabilization in Turkey, 1980-2002," Macroeconomics 0306001, University Library of Munich, Germany.
    2. Hande Kucuk-Tuger & Burc Tuger, 2004. "Relative Price Variability : The Case of Turkey 1994-2002," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 4(2), pages 1-40.
    3. Levent, Korap, 2008. "Modeling base money demand and inflation for the Turkish economy," MPRA Paper 19617, University Library of Munich, Germany.
    4. Ardic, Oya Pinar, 2006. "Output, the Real Exchange Rate, and the Crises in Turkey," MPRA Paper 6099, University Library of Munich, Germany.
    5. Ozgur ASLAN & H. Levent KORAP, 2007. "Monetary Transmission Mechanism In An Open Economy Framework: The Case Of Turkey," Istanbul University Econometrics and Statistics e-Journal, Department of Econometrics, Faculty of Economics, Istanbul University, vol. 5(1), pages 41-66, May.
    6. Michael Arghyrou & Virginie Boinet & Christopher Martin, 2006. "Non-linear and non-symmetric exchange-rate adjustment: Evidence from medium- and high-inflation countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 30(1), pages 38-56, March.
    7. Michael Arghyrou & Virginie Boinet & Christopher Martin, 2004. "Non-linear and non-symmetric exchange-rate adjustment: new evidence from medium- and high-inflation economies," Money Macro and Finance (MMF) Research Group Conference 2003 2, Money Macro and Finance Research Group.
    8. Deniz Cicek & Ceyhun Elgin, 2010. "Not-Quite-Great Depressions of Turkey: A Quantitative Analysis of Economic Growth over 1968 - 2004," Working Papers 2010/07, Bogazici University, Department of Economics.
    9. Levent, Korap, 2009. "Parasal büyüme ve tüketici enflasyonu değişim oranı arasındaki nedensellik ilişkisi üzerine bir deneme: Türkiye örneği [An essay upon the causality relationship between the monetary growth and the ," MPRA Paper 19537, University Library of Munich, Germany.
    10. Chortareas, Georgios & Cipollini, Andrea & Eissa, Mohamed Abdelaziz, 2012. "Switching to floating exchange rates, devaluations, and stock returns in MENA countries," International Review of Financial Analysis, Elsevier, vol. 21(C), pages 119-127.
    11. Zeren, Fatma & Korap, Levent, 2010. "A cost-based empirical model of the aggregate price determination for the Turkish economy: a multivariate cointegration approach," MPRA Paper 23655, University Library of Munich, Germany.
    12. Faruk Selçuk, 2005. "The Policy Challenge with Floating Exchange Rates: Turkey’s Recent Experience," Open Economies Review, Springer, vol. 16(3), pages 295-312, July.
    13. Ardic, Oya Pinar & Yuzereroglu, Uygar, 2007. "How Do Individuals Choose Banks? An Application to Household Level Data from Turkey," MPRA Paper 6096, University Library of Munich, Germany.
    14. F. Gulcin Ozkan, 2005. "Currency and Financial Crises in Turkey 2000 –2001: Bad Fundamentals or Bad Luck?," The World Economy, Wiley Blackwell, vol. 28(4), pages 541-572, April.
    15. Voyvoda, Ebru & Yeldan, Erinc, 2005. "Managing Turkish debt: An OLG investigation of the IMF's fiscal programming model for Turkey," Journal of Policy Modeling, Elsevier, vol. 27(6), pages 743-765, September.
    16. Bilici, Berk & Çekin, Semih Emre, 2020. "Inflation persistence in Turkey: A TVP-estimation approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 64-69.
    17. Ozbek, Levent & Ozlale, Umit, 2005. "Employing the extended Kalman filter in measuring the output gap," Journal of Economic Dynamics and Control, Elsevier, vol. 29(9), pages 1611-1622, September.
    18. Haluk Erlat, 2009. "Persistence in Turkish Real Exchange Rates: Panel Approaches," FIW Working Paper series 029, FIW.
    19. Ari, Ali & Yılmaz, Ahmet & Cergibozan, Raif & Ozcan, Yunus, 2013. "The Inflation Dynamics of the Turkish Economy in 1990-2011 Period," MPRA Paper 95675, University Library of Munich, Germany.
    20. Aykut Kibritcioglu, 2004. "Economic Crises and Governments in Turkey, 1969-2001 (Turkiye'de Ekonomik Krizler ve Hukumetler, 1969-2001)," Macroeconomics 0401008, University Library of Munich, Germany.
    21. Abidin Ozdemir, Zeynel & Fisunoglu, Mahir, 2008. "On the inflation-uncertainty hypothesis in Jordan, Philippines and Turkey: A long memory approach," International Review of Economics & Finance, Elsevier, vol. 17(1), pages 1-12.
    22. Kulaksizoglu, Tamer, 2015. "Measuring the Core Inflation in Turkey with the SM-AR Model," MPRA Paper 62653, University Library of Munich, Germany.

  2. Gençay, Ramazan & Gençay, Ramazan & Selçuk, Faruk & Whitcher, Brandon J., 2001. "An Introduction to Wavelets and Other Filtering Methods in Finance and Economics," Elsevier Monographs, Elsevier, edition 1, number 9780122796708.

    Cited by:

    1. Tzagkarakis George & Dionysopoulos Thomas & Achim Alin, 2016. "Recurrence quantification analysis of denoised index returns via alpha-stable modeling of wavelet coefficients: detecting switching volatility regimes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(1), pages 75-96, February.
    2. Bandi, Federico M. & Chaudhuri, Shomesh E. & Lo, Andrew W. & Tamoni, Andrea, 2021. "Spectral factor models," Journal of Financial Economics, Elsevier, vol. 142(1), pages 214-238.
    3. Gazi Salah Uddin & Jose Areola Hernandez & Syed Jawad Hussain Shahzad & Seong-Min Yoon, 2018. "Time-varying evidence of efficiency, decoupling, and diversification of conventional and Islamic stocks," Post-Print hal-01997844, HAL.
    4. Burak Alparslan Eroğlu & Barış Soybilgen, 2018. "On the Performance of Wavelet Based Unit Root Tests," JRFM, MDPI, vol. 11(3), pages 1-22, August.
    5. Asgharian, Hossein, 2011. "A conditional asset-pricing model with the optimal orthogonal portfolio," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1027-1040, May.
    6. Power, Gabriel J. & Eaves, James & Turvey, Calum & Vedenov, Dmitry, 2017. "Catching the curl: Wavelet thresholding improves forward curve modelling," Economic Modelling, Elsevier, vol. 64(C), pages 312-321.
    7. Schröder, Anna Louise & Fryzlewicz, Piotr, 2013. "Adaptive trend estimation in financial time series via multiscale change-point-induced basis recovery," MPRA Paper 52379, University Library of Munich, Germany.
    8. Kumah, Seyram Pearl & Odei-Mensah, Jones, 2021. "Are Cryptocurrencies and African stock markets integrated?," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 330-341.
    9. Deniz Erdemlioglu & Nikola Gradojevic, 2020. "Heterogeneous investment horizons, risk regimes, and realized jumps," Post-Print hal-02995997, HAL.
    10. Naveed Raza & Ahmad Ibn Ibrahimy & Azwadi Ali & Sajid Ali, 2016. "Gold and Islamic stocks: A hedge and safe haven comparison in time frequency domain for BRICS markets," Journal of Developing Areas, Tennessee State University, College of Business, vol. 50(6), pages 305-318, Special I.
    11. Gencay, Ramazan & Fan, Yanqin, 2007. "Unit Root Tests with Wavelets," MPRA Paper 9832, University Library of Munich, Germany.
    12. Hossein Asgharian & Charlotte Christiansen & Ai Jun Hou, 2014. "Macro-Finance Determinants of the Long-Run Stock-Bond Correlation: The DCC-MIDAS Specification," CREATES Research Papers 2014-13, Department of Economics and Business Economics, Aarhus University.
    13. Wen-Yi CHEN & Yu-Hui LIN, 2016. "Co-Movement of Healthcare Financing in OECD Countries: Evidence from Discrete Wavelet Analyses," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 40-56, September.
    14. Brian Lucey & Fergal O’connor, 2017. "Are gold bugs coherent?," Applied Economics Letters, Taylor & Francis Journals, vol. 24(2), pages 90-94, January.
    15. Stanislaus Maier-Paape & Andreas Platen, 2015. "Lead-Lag Relationship using a Stop-and-Reverse-MinMax Process," Papers 1504.06235, arXiv.org.
    16. Gallegati, Marco & Ramsey, James B., 2013. "Structural change and phase variation: A re-examination of the q-model using wavelet exploratory analysis," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 60-73.
    17. Andersson, Fredrik N.G. & Edgerton, David L. & Opper, Sonja, 2013. "A Matter of Time: Revisiting Growth Convergence in China," World Development, Elsevier, vol. 45(C), pages 239-251.
    18. Stanislaus Maier-Paape & Andreas Platen, 2016. "Lead–Lag Relationship Using a Stop-and-Reverse-MinMax Process," Risks, MDPI, vol. 4(3), pages 1-20, July.
    19. Berger, Theo & Uddin, Gazi Salah, 2016. "On the dynamic dependence between equity markets, commodity futures and economic uncertainty indexes," Energy Economics, Elsevier, vol. 56(C), pages 374-383.
    20. Alqaralleh, Huthaifa & Canepa, Alessandra, 2022. "The role of precious metals in portfolio diversification during the Covid19 pandemic: A wavelet-based quantile approach," Resources Policy, Elsevier, vol. 75(C).
    21. Tursoy, Turgut & Mar'i, Muhammad, 2020. "Lead-lag and relationship between money growth and inflation in Turkey: New evidence from a wavelet analysis," MPRA Paper 99595, University Library of Munich, Germany.
    22. Bilgili, Faik & Mugaloglu, Erhan & Koçak, Emrah, 2018. "The impact of oil prices on CO2 emissions in China: A Wavelet coherence approach," MPRA Paper 90170, University Library of Munich, Germany.
    23. Aydin, Mucahit, 2019. "A New Nonlinear Wavelet-Based Unit Root Test with Structural Breaks," MPRA Paper 98693, University Library of Munich, Germany.
    24. Yushu Li & Fredrik N. G. Andersson, 2021. "A simple wavelet-based test for serial correlation in panel data models," Empirical Economics, Springer, vol. 60(5), pages 2351-2363, May.
    25. Marco Gallegati & Mauro Gallegati, 2005. "Wavelet variance and correlation analyses of output in G7 countries," Macroeconomics 0512017, University Library of Munich, Germany.
    26. Bandi, F.M & Perron, B & Tamoni, Andrea & Tebaldi, C., 2018. "The scale of predictability," LSE Research Online Documents on Economics 85646, London School of Economics and Political Science, LSE Library.
    27. Luká? Frýd, 2017. "A wavelet transformation approach to crude oil price and CZK/USD exchange rate dependence," Proceedings of Economics and Finance Conferences 4507429, International Institute of Social and Economic Sciences.
    28. Ardila, Diego & Sornette, Didier, 2016. "Dating the financial cycle with uncertainty estimates: a wavelet proposition," Finance Research Letters, Elsevier, vol. 19(C), pages 298-304.
    29. Costa, Antonio & da Silva, Cristiano & Matos, Paulo, 2022. "The Brazilian financial market reaction to COVID-19: A wavelet analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 13-29.
    30. Boryana Bogdanova, 2014. "Measuring the degree of integration within a group of stock markets," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 26-46.
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    32. Akan, Taner, 2023. "Can renewable energy mitigate the impacts of inflation and policy interest on climate change?," Renewable Energy, Elsevier, vol. 214(C), pages 255-289.
    33. Maissa Elmrabet & Boulila Ghazi, 2018. "Causality deficit-inflation : wavelet transform," Working Papers hal-01941464, HAL.
    34. Antonio Focacci, 2023. "A Wavelet Investigation of Periodic Long Swings in the Economy: The Original Data of Kondratieff and Some Important Series of GDP per Capita," Economies, MDPI, vol. 11(9), pages 1-21, September.
    35. Eman F. Attia & Sharihan Mohamed Aly & Ahmed said ElRawas & Ebtehal Orabi Awad, 2023. "Portfolio diversification benefits before and during the times of COVID-19: evidence from USA," Future Business Journal, Springer, vol. 9(1), pages 1-15, December.
    36. Tweneboah, George & Owusu Junior, Peterson & Kumah, Seyram Pearl, 2020. "Modelling the asymmetric linkages between spot gold prices and African stocks," Research in International Business and Finance, Elsevier, vol. 54(C).
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    38. Younis, Ijaz & Shah, Waheed Ullah & Yousaf, Imran, 2023. "Static and dynamic linkages between oil, gold and global equity markets in various crisis episodes: Evidence from the Wavelet TVP-VAR," Resources Policy, Elsevier, vol. 80(C).
    39. Deniz Kenan Kılıç & Ömür Uğur, 2018. "Multiresolution analysis of S&P500 time series," Annals of Operations Research, Springer, vol. 260(1), pages 197-216, January.
    40. Jozef Barunik & Evzen Kocenda & Lukas Vacha, 2013. "Gold, Oil, and Stocks," Papers 1308.0210, arXiv.org, revised Mar 2014.
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    42. Ben Moews & J. Michael Herrmann & Gbenga Ibikunle, 2018. "Lagged correlation-based deep learning for directional trend change prediction in financial time series," Papers 1811.11287, arXiv.org, revised Nov 2018.
    43. Spelta, Alessandro & De Giuli, Maria Elena, 2023. "Does renewable energy affect fossil fuel price? A time–frequency analysis for the Europe," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    44. Souhir, Ben Amor & Heni, Boubaker & Lotfi, Belkacem, 2019. "Price risk and hedging strategies in Nord Pool electricity market evidence with sector indexes," Energy Economics, Elsevier, vol. 80(C), pages 635-655.
    45. Nikola Gradojevic & Camillo Lento, 2015. "Multiscale analysis of foreign exchange order flows and technical trading profitability," Post-Print hal-01563053, HAL.
    46. Stelios Bekiros & Jose Arreola Hernandez & Gazi Salah Uddin & Ahmed Taneem Muzaffar, 2020. "On the predictability of crude oil market: A hybrid multiscale wavelet approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 599-614, July.
    47. Gannaz, Irène, 2023. "Asymptotic normality of wavelet covariances and multivariate wavelet Whittle estimators," Stochastic Processes and their Applications, Elsevier, vol. 155(C), pages 485-534.
    48. Dimitrios Panagiotou & Athanassios Stavrakoudis, 2023. "Price dependence among the major EU extra virgin olive oil markets: a time scale analysis," Review of Agricultural, Food and Environmental Studies, Springer, vol. 104(1), pages 1-26, March.
    49. Patrick M. Crowley, 2007. "A Guide To Wavelets For Economists," Journal of Economic Surveys, Wiley Blackwell, vol. 21(2), pages 207-267, April.
    50. Elizabeth A. Maharaj & Imad Moosa & Jonathan Dark & Param Silvapulle, 2008. "Wavelet Estimation of Asymmetric Hedge Ratios: Does Econometric Sophistication Boost Hedging Effectiveness?," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 7(3), pages 213-230, December.
    51. Kriechbaumer, Thomas & Angus, Andrew & Parsons, David & Rivas Casado, Monica, 2014. "An improved wavelet–ARIMA approach for forecasting metal prices," Resources Policy, Elsevier, vol. 39(C), pages 32-41.
    52. Huthaifa Alqaralleh & Canepa, Alessandra & Gazi Salah Uddin, 2022. "Dynamic Relations Between Housing Markets, Stock Markets, and Uncertainty in Global Cities: A Time-Frequency Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202213, University of Turin.
    53. Caraiani, Petre, 2015. "Estimating DSGE models across time and frequency," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 33-49.
    54. Crowley, Patrick M. & Maraun, Douglas & Mayes, David, 2006. "How hard is the euro area core? An evaluation of growth cycles using wavelet analysis," Bank of Finland Research Discussion Papers 18/2006, Bank of Finland.
    55. Antonis Michis, 2011. "Multiscale Analysis of the Liquidity Effect," Working Papers 2011-5, Central Bank of Cyprus.
    56. Antonis Michis, 2015. "Multiscale Analysis of the Liquidity Effect in the UK Economy," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 615-633, April.
    57. Gencay, Ramazan & Selcuk, Faruk & Whitcher, Brandon, 2004. "Information flow between volatilities across time scales," MPRA Paper 10355, University Library of Munich, Germany.
    58. Ines Kahloul & Anouar Ben Mabrouk & Slah-Eddine Hallara, 2010. "Wavelet-Based Prediction for Governance, Diversification and Value Creation Variables," Papers 1011.5020, arXiv.org.
    59. Alqaralleh, Huthaifa & Canepa, Alessandra & Zanetti Chini, Emilio, 2020. "COVID-19 Pandemic and Stock Market Contagion: A Wavelet-Copula GARCH Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202012, University of Turin.
    60. Filip Smolik & Lukas Vacha, 2015. "Time-scale analysis of co-movement in EU sovereign bond markets," Papers 1506.03347, arXiv.org, revised Mar 2016.
    61. Theo Berger & Ramazan Gençay, 2020. "Short‐run wavelet‐based covariance regimes for applied portfolio management," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 642-660, July.
    62. Jiang, Zhuhua & Yoon, Seong-Min, 2020. "Dynamic co-movement between oil and stock markets in oil-importing and oil-exporting countries: Two types of wavelet analysis," Energy Economics, Elsevier, vol. 90(C).
    63. Patrick Crowley, 2005. "An intuitive guide to wavelets for economists," Econometrics 0503017, University Library of Munich, Germany.
    64. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Doğan, Buhari & Ghosh, Sudeshna, 2023. "Sustainable debt and gas markets: A new look using the time-varying wavelet-windowed cross-correlation approach," Energy Economics, Elsevier, vol. 120(C).
    65. Cortés Espada Josué Fernando & Sámano Daniel & Gutiérrez Villanueva Rubí, 2019. "Dynamics of Mexican Inflation: A Wavelet Analysis," Working Papers 2019-17, Banco de México.
    66. Indranil Ghosh & Tamal Datta Chaudhuri, 2017. "Fractal Investigation and Maximal Overlap Discrete Wavelet Transformation (MODWT)-based Machine Learning Framework for Forecasting Exchange Rates," Studies in Microeconomics, , vol. 5(2), pages 105-131, December.
    67. Ali Abdul Aziz & Shukur Ghazi & Månsson Kristofer, 2020. "A wavelet-based variance ratio unit root test for a system of equations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(3), pages 1-16, June.
    68. A. Mbairadjim Moussa & J. Sadefo Kamdem & A.F. Shapiro & M. Terraza, 2014. "CAPM with fuzzy returns and hypothesis testing," Post-Print hal-02901727, HAL.
    69. Ahmad Alrazni Alshammari, Basheer Altarturi, Buerhan Saiti, Latifah Munassar, 2020. "The impact of exchange rate, oil price and gold price on the Kuwaiti stock market: a wavelet analysis," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 17(1), pages 31-54, June.
    70. Saadi, Samir & Rahman, Abdul, 2008. "Evidence of non-stationary bias in scaling by square root of time: Implications for Value-at-Risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(3), pages 272-289, July.
    71. Yang, Lu & Cai, Xiao Jing & Zhang, Huimin & Hamori, Shigeyuki, 2016. "Interdependence of foreign exchange markets: A wavelet coherence analysis," Economic Modelling, Elsevier, vol. 55(C), pages 6-14.
    72. Pandelara, Diego & Kristjanpoller, Werner & Michell, Kevin & Minutolo, Marcel C., 2022. "A fuzzy regression causality approach to analyze relationship between electrical consumption and GDP," Energy, Elsevier, vol. 239(PE).
    73. Gradojevic, Nikola & Gençay, Ramazan, 2013. "Fuzzy logic, trading uncertainty and technical trading," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 578-586.
    74. Alfred Mbairadjim Moussa & Jules Sadefo Kamdem & Arnold F. Shapiro & Michel Terraza, 2012. "Capital asset pricing model with fuzzy returns and hypothesis testing," Working Papers 12-33, LAMETA, Universtiy of Montpellier, revised Sep 2012.
    75. Yasir Habib & Enjun Xia & Zeeshan Fareed & Shujahat Haider Hashmi, 2021. "Time–frequency co-movement between COVID-19, crude oil prices, and atmospheric CO2 emissions: Fresh global insights from partial and multiple coherence approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 9397-9417, June.
    76. Alqaralleh, Huthaifa & Canepa, Alessandra & Chini, Zanetti, 2021. "Financial Contagion During the Covid-19 Pandemic: A Wavelet-Copula-GARCH Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202110, University of Turin.
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