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Turgut Kisinbay

Personal Details

First Name:Turgut
Middle Name:
Last Name:Kisinbay
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RePEc Short-ID:pki50
[This author has chosen not to make the email address public]
International Monetary Fund 700 19th Street, N.W. Washington, D.C. 20431 USA

Affiliation

International Monetary Fund (IMF)

Washington, District of Columbia (United States)
http://www.imf.org/
RePEc:edi:imfffus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Turgut Kisinbay & Chikako Baba, 2011. "Predicting Recessions: A New Approach for Identifying Leading Indicators and Forecast Combinations," IMF Working Papers 2011/235, International Monetary Fund.
  2. Ms. Inci Ötker & David Vávra & Mr. Francisco F. Vazquez & Mr. Luis Ignacio Jácome & Mr. Karl F Habermeier & Kotaro Ishi & Alessandro Giustiniani & Turgut Kisinbay, 2009. "Inflation Pressures and Monetary Policy Options in Emerging and Developing Countries—A Cross Regional Perspective," IMF Working Papers 2009/001, International Monetary Fund.
  3. Turgut Kisinbay, 2007. "The Use of Encompassing Tests for Forecast Combinations," IMF Working Papers 2007/264, International Monetary Fund.
  4. Jorge Canales-Kriljenko & Turgut Kisinbay & Rodolfo Maino & Eric Parrado, 2006. "Setting the Operational Framework for Producing Inflation Forecasts," Working Papers Central Bank of Chile 362, Central Bank of Chile.
  5. Turgut Kisinbay, 2003. "Predictive Ability of Asymmetric Volatility Models At Medium-Term Horizons," IMF Working Papers 2003/131, International Monetary Fund.
  6. John W. Galbraith & Turgut Kisinbay, 2002. "Information Content of Volatility Forecasts at Medium-term Horizons," CIRANO Working Papers 2002s-21, CIRANO.
    repec:imf:imfops:2009/004 is not listed on IDEAS

Articles

  1. Turgut Kısınbay, 2010. "Predictive ability of asymmetric volatility models at medium-term horizons," Applied Economics, Taylor & Francis Journals, vol. 42(30), pages 3813-3829.
  2. Turgut Kışınbay, 2010. "The use of encompassing tests for forecast combinations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(8), pages 715-727, December.
  3. Galbraith, John W. & KI[#x1e63]Inbay, Turgut, 2005. "Content horizons for conditional variance forecasts," International Journal of Forecasting, Elsevier, vol. 21(2), pages 249-260.

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. Turgut Kisinbay & Chikako Baba, 2011. "Predicting Recessions: A New Approach for Identifying Leading Indicators and Forecast Combinations," IMF Working Papers 2011/235, International Monetary Fund.

    Cited by:

    1. Cang, Shuang & Yu, Hongnian, 2014. "A combination selection algorithm on forecasting," European Journal of Operational Research, Elsevier, vol. 234(1), pages 127-139.
    2. Donadelli, Michael & Paradiso, Antonio & Riedel, Max, 2015. "A novel ex-ante leading indicator for the EU industrial production," SAFE Working Paper Series 118, Leibniz Institute for Financial Research SAFE.
    3. Donadelli, Michael & Paradiso, Antonio & Riedel, Max, 2016. "A quasi real-time leading indicator for the EU industrial production," SAFE Working Paper Series 118 [rev.], Leibniz Institute for Financial Research SAFE, revised 2016.

  2. Ms. Inci Ötker & David Vávra & Mr. Francisco F. Vazquez & Mr. Luis Ignacio Jácome & Mr. Karl F Habermeier & Kotaro Ishi & Alessandro Giustiniani & Turgut Kisinbay, 2009. "Inflation Pressures and Monetary Policy Options in Emerging and Developing Countries—A Cross Regional Perspective," IMF Working Papers 2009/001, International Monetary Fund.

    Cited by:

    1. de Carvalho Filho Irineu E, 2011. "28 Months Later: How Inflation Targeters Outperformed Their Peers in the Great Recession," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-46, July.
    2. Siddig, Khalid & Grethe, Harald, 2012. "International Price Transmission in CGE Models: How to Reconcile Econometric Evidence and Endogenous Model Response?," Conference papers 332281, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. International Monetary Fund, 2010. "Commodity Prices and Inflation in the Middle East, North Africa, and Central Asia," IMF Working Papers 2010/135, International Monetary Fund.
    4. Marc Pourroy, 2012. "Does Exchange Rate Control Improve Inflation Targeting in Emerging Economies?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02619540, HAL.
    5. Antonia Lòpez-Villavicencio & Marc Pourroy, 2019. "Inflation target and (a)symmetries in the oil price pass-through to inflation," Post-Print hal-02082415, HAL.
    6. Choi, Sangyup & Furceri, Davide & Loungani, Prakash & Mishra, Saurabh & Poplawski-Ribeiro, Marcos, 2018. "Oil prices and inflation dynamics: Evidence from advanced and developing economies," Journal of International Money and Finance, Elsevier, vol. 82(C), pages 71-96.
    7. Grégory Levieuge & Yannick Lucotte & Sébastien Ringuedé, 2015. "Central bank credibility and the expectations channel: Evidence based on a new credibility index," NBP Working Papers 209, Narodowy Bank Polski.
    8. Nir Klein, 2012. "Estimating the Implicit Inflation Target of the South African Reserve Bank," IMF Working Papers 2012/177, International Monetary Fund.
    9. Alqaralleh, Huthaifa Sameeh & Canepa, Alessandra, 2024. "Modelling Dynamic Relationships Between Energy Prices and Inflation in Euro Area Using Wavelets," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202420, University of Turin.
    10. Tiwari, Aviral Kumar & Cunado, Juncal & Hatemi-J, Abdulnasser & Gupta, Rangan, 2019. "Oil price-inflation pass-through in the United States over 1871 to 2018: A wavelet coherency analysis," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 51-55.
    11. Mr. Yan Carriere-Swallow & Mr. Pragyan Deb & Davide Furceri & Daniel Jimenez & Mr. Jonathan David Ostry, 2022. "Shipping Costs and Inflation," IMF Working Papers 2022/061, International Monetary Fund.
    12. Berganza, Juan Carlos & Broto, Carmen, 2012. "Flexible inflation targets, forex interventions and exchange rate volatility in emerging countries," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 428-444.
    13. Aissa Djedaiet & Hicham Ayad, "undated". "The double whammy of COVID-19 and oil price collapse: Spillover effects on inflation and exchange rates," Review of Socio - Economic Perspectives 202206, Reviewsep.
    14. Stephen A. O'Connell, 2011. "Towards a Rule-based Approach to Monetary Policy Evaluation in Sub-Saharan Africa-super- †," Journal of African Economies, Centre for the Study of African Economies, vol. 20(suppl_2), pages -66, May.
    15. Abdallah, Chadi & Kpodar, Kangni, 2023. "How large and persistent is the response of inflation to changes in retail energy prices?," Journal of International Money and Finance, Elsevier, vol. 132(C).
    16. Sheng, Xin & Marfatia, Hardik A. & Gupta, Rangan & Ji, Qiang, 2023. "The non-linear response of US state-level tradable and non-tradable inflation to oil shocks: The role of oil-dependence," Research in International Business and Finance, Elsevier, vol. 64(C).
    17. de Carvalho Filho, Irineu, 2010. "Inflation Targeting and the Crisis: An Empirical Assessment," MPRA Paper 19960, University Library of Munich, Germany.
    18. Salas, Jorge, 2009. "¿Qué explica las fluctuaciones de la inflación en el Perú en el periodo 2002-2008? Evidencia de un análisis VAR estructural," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 16, pages 9-36.
    19. Mr. Gaston Gelos & Ms. Yulia Ustyugova, 2012. "Inflation Responses to Commodity Price Shocks: How and Why Do Countries Differ?," IMF Working Papers 2012/225, International Monetary Fund.
    20. International Monetary Fund, 2012. "Global Food Price Inflation and Policy Responses in Central Asia," IMF Working Papers 2012/086, International Monetary Fund.
    21. Abou Hamia, Mohamad A., 2024. "Why developing countries need a new central bank paradigm: Evidence from the Middle East and North Africa region," Economic Systems, Elsevier, vol. 48(4).

  3. Turgut Kisinbay, 2007. "The Use of Encompassing Tests for Forecast Combinations," IMF Working Papers 2007/264, International Monetary Fund.

    Cited by:

    1. Cang, Shuang & Yu, Hongnian, 2014. "A combination selection algorithm on forecasting," European Journal of Operational Research, Elsevier, vol. 234(1), pages 127-139.
    2. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Costantini, Mauro & Pappalardo, Carmine, 2010. "A hierarchical procedure for the combination of forecasts," International Journal of Forecasting, Elsevier, vol. 26(4), pages 725-743, October.
    4. Antonis Michis, 2012. "Monitoring Forecasting Combinations with Semiparametric Regression Models," Working Papers 2012-2, Central Bank of Cyprus.
    5. Zhenni Ding & Huayou Chen & Ligang Zhou, 2023. "Using shapely values to define subgroups of forecasts for combining," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 905-923, July.
    6. Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2019. "Forecasting the KOSPI200 spot volatility using various volatility measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 156-166.
    7. Bacci, Livio Agnew & Mello, Luiz Gustavo & Incerti, Taynara & Paulo de Paiva, Anderson & Balestrassi, Pedro Paulo, 2019. "Optimization of combined time series methods to forecast the demand for coffee in Brazil: A new approach using Normal Boundary Intersection coupled with mixture designs of experiments and rotated fact," International Journal of Production Economics, Elsevier, vol. 212(C), pages 186-211.
    8. Morales-Arias, Leonardo & Moura, Guilherme V., 2013. "Adaptive forecasting of exchange rates with panel data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 493-509.
    9. Morales-Arias, Leonardo & Dross, Alexander, 2010. "Adaptive forecasting of exchange rates with panel data," Kiel Working Papers 1656, Kiel Institute for the World Economy (IfW Kiel).

  4. Jorge Canales-Kriljenko & Turgut Kisinbay & Rodolfo Maino & Eric Parrado, 2006. "Setting the Operational Framework for Producing Inflation Forecasts," Working Papers Central Bank of Chile 362, Central Bank of Chile.

    Cited by:

    1. Christian P Pinshi, 2022. "Ciblage des prévisions d'inflation : Un nouveau cadre pour la politique monétaire ?," Working Papers hal-03548273, HAL.
    2. Jorge Iván Canales-Kriljenko & Luis I. Jácome H. & Ali Alichi & Ivan Luis de Oliveira Lima, 2011. "Sorteando la tormenta mundial: beneficios de la reforma de política monetaria en cinco países latinoamericanos," Boletín, CEMLA, vol. 0(4), pages 194-226, Octubre-d.
    3. Mr. Douglas Laxton & Mr. Andrew Berg & Mr. Philippe D Karam, 2006. "A Practical Model-Based Approach to Monetary Policy Analysis—Overview," IMF Working Papers 2006/080, International Monetary Fund.
    4. International Monetary Fund, 2010. "Weathering the Global Storm: The Benefits of Monetary Policy Reform in the LA5 Countries," IMF Working Papers 2010/292, International Monetary Fund.
    5. Héctor Cuasquer & René Maldonado, 2011. "Microfinanzas y microcrédito en Latinoamérica," Boletín, CEMLA, vol. 0(4), pages 179-193, Octubre-d.
    6. PINSHI, Christian P., 2022. "Inflation-Forecast Targeting: A New Framework for Monetary Policy?," MPRA Paper 111709, University Library of Munich, Germany.
    7. Mr. Marcel Peter & Mr. Scott Roger & Mr. Geoffrey M Heenan, 2006. "Implementing Inflation Targeting: Institutional Arrangements, Target Design, and Communications," IMF Working Papers 2006/278, International Monetary Fund.
    8. Damdinsuren, Batnyam & Doojav, Gan-Ochir & Łyziak, Tomasz, 2008. "Small Inflation Model of Mongolia (SIMOM)," MPRA Paper 72139, University Library of Munich, Germany, revised Apr 2008.

  5. Turgut Kisinbay, 2003. "Predictive Ability of Asymmetric Volatility Models At Medium-Term Horizons," IMF Working Papers 2003/131, International Monetary Fund.

    Cited by:

    1. N. Antonakakis & J. Darby, 2013. "Forecasting volatility in developing countries' nominal exchange returns," Applied Financial Economics, Taylor & Francis Journals, vol. 23(21), pages 1675-1691, November.
    2. Bednarik, Radek, 2008. "Analýza volatility devizových kurzů vybraných ekonomik [The Analysis of Volatility of Selected Countries' Exchange Rates]," MPRA Paper 15046, University Library of Munich, Germany.
    3. Dimitrios Louzis & Spyros Xanthopoulos-Sisinis & Apostolos Refenes, 2011. "Stock index realized volatility forecasting in the presence of heterogeneous leverage effects and long range dependence in the volatility of realized volatility," Post-Print hal-00709559, HAL.
    4. Raj Kumar Singh & Yashvardhan Singh & Satish Kumar & Ajay Kumar & Waleed S. Alruwaili, 2024. "Mapping Risk–Return Linkages and Volatility Spillover in BRICS Stock Markets through the Lens of Linear and Non-Linear GARCH Models," JRFM, MDPI, vol. 17(10), pages 1-26, September.

  6. John W. Galbraith & Turgut Kisinbay, 2002. "Information Content of Volatility Forecasts at Medium-term Horizons," CIRANO Working Papers 2002s-21, CIRANO.

    Cited by:

    1. Turgut Kısınbay, 2010. "Predictive ability of asymmetric volatility models at medium-term horizons," Applied Economics, Taylor & Francis Journals, vol. 42(30), pages 3813-3829.

Articles

  1. Turgut Kısınbay, 2010. "Predictive ability of asymmetric volatility models at medium-term horizons," Applied Economics, Taylor & Francis Journals, vol. 42(30), pages 3813-3829.
    See citations under working paper version above.
  2. Turgut Kışınbay, 2010. "The use of encompassing tests for forecast combinations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(8), pages 715-727, December.
    See citations under working paper version above.
  3. Galbraith, John W. & KI[#x1e63]Inbay, Turgut, 2005. "Content horizons for conditional variance forecasts," International Journal of Forecasting, Elsevier, vol. 21(2), pages 249-260.

    Cited by:

    1. Vasilios Plakandaras & Theophilos Papadimitriou & Periklis Gogas, 2015. "Forecasting Daily and Monthly Exchange Rates with Machine Learning Techniques," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(7), pages 560-573, November.
    2. Turgut Kısınbay, 2010. "Predictive ability of asymmetric volatility models at medium-term horizons," Applied Economics, Taylor & Francis Journals, vol. 42(30), pages 3813-3829.
    3. Tsiotas, Georgios, 2012. "On generalised asymmetric stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 151-172, January.
    4. John W. Galbraith & Greg Tkacz, 2007. "Forecast content and content horizons for some important macroeconomic time series," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(3), pages 935-953, August.
    5. John G. Galbraith & Greg Tkacz, 2006. "How Far Can We Forecast? Forecast Content Horizons For Some Important Macroeconomic Time Series," Departmental Working Papers 2006-13, McGill University, Department of Economics.
    6. Li, Xingyi & Zakamulin, Valeriy, 2020. "The term structure of volatility predictability," International Journal of Forecasting, Elsevier, vol. 36(2), pages 723-737.
    7. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    8. Enno Mammen & Jens Perch Nielsen & Michael Scholz & Stefan Sperlich, 2019. "Conditional Variance Forecasts for Long-Term Stock Returns," Risks, MDPI, vol. 7(4), pages 1-22, November.
    9. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    10. Georgios Tsiotas, 2009. "On the use of non-linear transformations in Stochastic Volatility models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(4), pages 555-583, November.
    11. Dovern, Jonas, 2006. "Predicting GDP components: do leading indicators increase predictability?," Kiel Advanced Studies Working Papers 436, Kiel Institute for the World Economy (IfW Kiel).
    12. Edoardo Otrano & Umberto Triacca, 2007. "Testing for Equal Predictability of Stationary ARMA Processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(9), pages 1091-1108.
    13. Taylor, Nicholas, 2008. "Can idiosyncratic volatility help forecast stock market volatility?," International Journal of Forecasting, Elsevier, vol. 24(3), pages 462-479.
    14. Raunig, Burkhard, 2008. "The predictability of exchange rate volatility," Economics Letters, Elsevier, vol. 98(2), pages 220-228, February.

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