IDEAS home Printed from https://ideas.repec.org/e/pbu128.html
   My authors  Follow this author

Daniel Buncic

Personal Details

First Name:Daniel
Middle Name:
Last Name:Buncic
Suffix:
RePEc Short-ID:pbu128
http://www.danielbuncic.com

Affiliation

Sveriges Riksbank

Stockholm, Sweden
http://www.riksbank.se/

: 08 - 787 00 00
08-21 05 31
Brunkebergstorg 11, 103 37 Stockholm
RePEc:edi:rbgovse (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Buncic, Daniel, 2017. "Identification and Estimation issues in Exponential Smooth Transition Autoregressive Models," Working Paper Series 344, Sveriges Riksbank (Central Bank of Sweden).
  2. Buncic, Daniel & Gisler, Katja I. M., 2015. "Global Equity Market Volatility Spillovers: A Broader Role for the United States," Economics Working Paper Series 1508, University of St. Gallen, School of Economics and Political Science.
  3. Buncic, Daniel & Tischhauser, Martin, 2015. "Macroeconomic Factors and Equity Premium Predictability," Economics Working Paper Series 1522, University of St. Gallen, School of Economics and Political Science.
  4. Buncic, Daniel & Piras, Gion Donat, 2014. "Heterogeneous Agents, the Financial Crisis and Exchange Rate Predictability," Economics Working Paper Series 1436, University of St. Gallen, School of Economics and Political Science, revised Oct 2015.
  5. Buncic, Daniel & Moretto, Carlo, 2014. "Forecasting Copper Prices with Dynamic Averaging and Selection Models," Economics Working Paper Series 1430, University of St. Gallen, School of Economics and Political Science.
  6. Buncic, Daniel & Martin Melecky, 2013. "Equilibrium Credit: The Reference Point for Macroprudential Supervisors," Economics Working Paper Series 1301, University of St. Gallen, School of Economics and Political Science, revised Feb 2014.
  7. Buncic, Daniel & Melecky, Martin, 2011. "Macroprudential Stress Testing of Credit Risk: A Practical Approach for Policy Makers," Economics Working Paper Series 1139, University of St. Gallen, School of Economics and Political Science.
  8. Daniel Buncic & Jon E. Eggins & Robert J. Hill, 2010. "Mutual Fund Style, Characteristic-Matched Performance Benchmarks and Activity Measures: A New Approach," University of St. Gallen Department of Economics working paper series 2010 2010-20, Department of Economics, University of St. Gallen.
  9. Daniel Buncic, 2009. "Understanding forecast failure of ESTAR models of real exchange rates," EERI Research Paper Series EERI_RP_2009_18, Economics and Econometrics Research Institute (EERI), Brussels.
  10. Claus Brand & Daniel Buncic & Jarkko Turunen, 2008. "The Impact of ECB Monetary Policy Decisions and Communication on the Yield Curve," Discussion Papers 2008-11, School of Economics, The University of New South Wales.
  11. Buncic, Daniel, 2008. "A note on long horizon forecasts of nonlinear models of real exchange rates: Comments on Rapach and Wohar (2006)," MPRA Paper 6904, University Library of Munich, Germany.
  12. Buncic, Daniel & Melecky, Martin, 2007. "An estimated New Keynesian policy model for Australia," MPRA Paper 4138, University Library of Munich, Germany.

Articles

  1. Buncic, Daniel & Tischhauser, Martin, 2017. "Macroeconomic factors and equity premium predictability," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 621-644.
  2. Buncic, Daniel & Müller, Oliver, 2017. "Measuring the output gap in Switzerland with linear opinion pools," Economic Modelling, Elsevier, vol. 64(C), pages 153-171.
  3. Buncic, Daniel & Gisler, Katja I.M., 2017. "The role of jumps and leverage in forecasting volatility in international equity markets," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 1-19.
  4. Buncic, Daniel & Gisler, Katja I.M., 2016. "Global equity market volatility spillovers: A broader role for the United States," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1317-1339.
  5. Buncic, Daniel & Piras, Gion Donat, 2016. "Heterogeneous agents, the financial crisis and exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 313-359.
  6. Daniel Buncic, 2016. "Superforecasting: The Art and Science of Prediction. By Philip Tetlock and Dan Gardner," Risks, MDPI, Open Access Journal, vol. 4(3), pages 1-5, July.
  7. Buncic, Daniel & Lentner, Philipp, 2016. "The term structure of interest rates in an estimated New Keynesian policy model," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 126-150.
  8. Daniel Buncic & Jon E. Eggins & Robert J. Hill & David Gallagher, 2015. "Measuring fund style, performance and activity: a new style-profiling approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 55(1), pages 29-55, March.
  9. Buncic, Daniel & Moretto, Carlo, 2015. "Forecasting copper prices with dynamic averaging and selection models," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 1-38.
  10. Buncic, Daniel & Melecky, Martin, 2014. "Equilibrium credit: The reference point for macroprudential supervisors," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 135-154.
  11. Buncic, Daniel & Melecky, Martin, 2013. "Macroprudential stress testing of credit risk: A practical approach for policy makers," Journal of Financial Stability, Elsevier, vol. 9(3), pages 347-370.
  12. Daniel Buncic, 2012. "Understanding forecast failure of ESTAR models of real exchange rates," Empirical Economics, Springer, vol. 43(1), pages 399-426, August.
  13. Claus Brand & Daniel Buncic & Jarkko Turunen, 2010. "The Impact of ECB Monetary Policy Decisions and Communication on the Yield Curve," Journal of the European Economic Association, MIT Press, vol. 8(6), pages 1266-1298, December.
  14. Daniel Buncic & Martin Melecky, 2008. "An Estimated New Keynesian Policy Model for Australia," The Economic Record, The Economic Society of Australia, vol. 84(264), pages 1-16, March.

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. Buncic, Daniel & Gisler, Katja I. M., 2015. "Global Equity Market Volatility Spillovers: A Broader Role for the United States," Economics Working Paper Series 1508, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Nyberg, Henri & Pönkä, Harri, 2016. "International sign predictability of stock returns: The role of the United States," Economic Modelling, Elsevier, vol. 58(C), pages 323-338.
    2. Buncic, Daniel & Gisler, Katja I.M., 2017. "The role of jumps and leverage in forecasting volatility in international equity markets," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 1-19.

  2. Buncic, Daniel & Piras, Gion Donat, 2014. "Heterogeneous Agents, the Financial Crisis and Exchange Rate Predictability," Economics Working Paper Series 1436, University of St. Gallen, School of Economics and Political Science, revised Oct 2015.

    Cited by:

    1. Buncic, Daniel & Lentner, Philipp, 2016. "The term structure of interest rates in an estimated New Keynesian policy model," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 126-150.
    2. Daniel Buncic, 2016. "Superforecasting: The Art and Science of Prediction. By Philip Tetlock and Dan Gardner," Risks, MDPI, Open Access Journal, vol. 4(3), pages 1-5, July.
    3. Buncic, Daniel & Gisler, Katja I.M., 2016. "Global equity market volatility spillovers: A broader role for the United States," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1317-1339.
    4. Buncic, Daniel & Müller, Oliver, 2017. "Measuring the output gap in Switzerland with linear opinion pools," Economic Modelling, Elsevier, vol. 64(C), pages 153-171.
    5. Buncic, Daniel & Tischhauser, Martin, 2017. "Macroeconomic factors and equity premium predictability," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 621-644.

  3. Buncic, Daniel & Moretto, Carlo, 2014. "Forecasting Copper Prices with Dynamic Averaging and Selection Models," Economics Working Paper Series 1430, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. Buncic, Daniel & Lentner, Philipp, 2016. "The term structure of interest rates in an estimated New Keynesian policy model," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 126-150.
    2. Krzysztof Drachal, 2018. "Determining Time-Varying Drivers of Spot Oil Price in a Dynamic Model Averaging Framework," Energies, MDPI, Open Access Journal, vol. 11(5), pages 1-24, May.
    3. Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2015. "Behavioral influences in non-ferrous metals prices," Resources Policy, Elsevier, vol. 45(C), pages 9-22.
    4. Buncic, Daniel & Gisler, Katja I.M., 2016. "Global equity market volatility spillovers: A broader role for the United States," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1317-1339.
    5. Liu, Chang & Hu, Zhenhua & Li, Yan & Liu, Shaojun, 2017. "Forecasting copper prices by decision tree learning," Resources Policy, Elsevier, vol. 52(C), pages 427-434.
    6. Boriss Siliverstovs, 2015. "Dissecting Models' Forecasting Performance," KOF Working papers 15-397, KOF Swiss Economic Institute, ETH Zurich.
    7. Buncic, Daniel & Piras, Gion Donat, 2016. "Heterogeneous agents, the financial crisis and exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 313-359.
    8. Mark Cummins & Brian M. Lucey & Michael M. Dowling, 2014. "Behavioral Influences in Non-Ferrous Metals Prices," The Institute for International Integration Studies Discussion Paper Series iiisdp459, IIIS.
    9. Buncic, Daniel & Müller, Oliver, 2017. "Measuring the output gap in Switzerland with linear opinion pools," Economic Modelling, Elsevier, vol. 64(C), pages 153-171.
    10. Buncic, Daniel & Tischhauser, Martin, 2017. "Macroeconomic factors and equity premium predictability," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 621-644.
    11. Pincheira, Pablo & Hardy, Nicolas, 2018. "Forecasting Base Metal Prices with Commodity Currencies," MPRA Paper 83564, University Library of Munich, Germany.
    12. Siliverstovs, Boriss, 2017. "Dissecting models' forecasting performance," Economic Modelling, Elsevier, vol. 67(C), pages 294-299.

  4. Buncic, Daniel & Martin Melecky, 2013. "Equilibrium Credit: The Reference Point for Macroprudential Supervisors," Economics Working Paper Series 1301, University of St. Gallen, School of Economics and Political Science, revised Feb 2014.

    Cited by:

    1. Han, Rui & Melecky, Martin, 2013. "Financial inclusion for financial stability : access to bank deposits and the growth of deposits in the Global Financial Crisis," Policy Research Working Paper Series 6577, The World Bank.
    2. Daniel Buncic, 2016. "Superforecasting: The Art and Science of Prediction. By Philip Tetlock and Dan Gardner," Risks, MDPI, Open Access Journal, vol. 4(3), pages 1-5, July.
    3. Vouldis, Angelos, 2015. "Credit market disequilibrium in Greece (2003-2011) - a Bayesian approach," Working Paper Series 1805, European Central Bank.
    4. Buncic, Daniel & Gisler, Katja I.M., 2016. "Global equity market volatility spillovers: A broader role for the United States," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1317-1339.
    5. Melecky, Ales & Melecky, Martin & Sulganova, Monika, 2014. "Úvěry v selhání a makroekonomika: Modelování systémového kreditního rizika v České republice
      [Non-performing loans and the macroeconomy: Modeling the systemic credit risk in Czech Republic]
      ," MPRA Paper 59917, University Library of Munich, Germany.
    6. Buncic, Daniel & Piras, Gion Donat, 2016. "Heterogeneous agents, the financial crisis and exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 313-359.
    7. Mathias Drehmann & Kostas Tsatsaronis, 2014. "The credit-to-GDP gap and countercyclical capital buffers: questions and answers," BIS Quarterly Review, Bank for International Settlements, March.
    8. Hosszú, Zsuzsanna & Körmendi, Gyöngyi & Mérő, Bence, 2016. "Egy- és többváltozós szűrők a hitelrés alakulásának meghatározására
      [Filters with single or multiple variables in measuring the size of the credit gap]
      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 233-259.
    9. Buncic, Daniel & Moretto, Carlo, 2014. "Forecasting Copper Prices with Dynamic Averaging and Selection Models," Economics Working Paper Series 1430, University of St. Gallen, School of Economics and Political Science.
    10. Buncic, Daniel & Müller, Oliver, 2017. "Measuring the output gap in Switzerland with linear opinion pools," Economic Modelling, Elsevier, vol. 64(C), pages 153-171.
    11. Beck, Thorsten & Feyen, Erik, 2013. "Benchmarking financial systems : introducing the financial possibility frontier," Policy Research Working Paper Series 6615, The World Bank.
    12. Maimbo, Samuel Munzele & Melecky, Martin, 2014. "Financial sector policy in practice : benchmarking financial sector strategies around the world," Policy Research Working Paper Series 6746, The World Bank.
    13. Beck, Thorsten & De Jonghe, Olivier, 2013. "Lending concentration, bank performance and systemic risk : exploring cross-country variation," Policy Research Working Paper Series 6604, The World Bank.
    14. Buncic, Daniel & Tischhauser, Martin, 2017. "Macroeconomic factors and equity premium predictability," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 621-644.
    15. Brown, Martin, 2013. "The transmission of banking crises to households : lessons from the 2008-2011 crises in the ECA region," Policy Research Working Paper Series 6528, The World Bank.

  5. Buncic, Daniel & Melecky, Martin, 2011. "Macroprudential Stress Testing of Credit Risk: A Practical Approach for Policy Makers," Economics Working Paper Series 1139, University of St. Gallen, School of Economics and Political Science.

    Cited by:

    1. George Papadopoulos & Savas Papadopoulos & Thomas Sager, 2016. "Credit risk stress testing for EU15 banks: a model combination approach," Working Papers 203, Bank of Greece.
    2. Adam Gersl & Petr Jakubik & Tomas Konecny & Jakub Seidler, 2013. "Dynamic Stress Testing: The Framework for Assessing the Resilience of the Banking Sector Used by the Czech National Bank," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(6), pages 505-536, December.
    3. Cecilia Dassatti & Alejandro Pena & Jorge Ponce & Magdalena Tubio, 2015. "Countercyclical Capital Buffer: The Case of Uruguay," Monetaria, Centro de Estudios Monetarios Latinoamericanos, vol. 0(2), pages 251-285, July-Dece.
    4. Xisong Jin & Francisco Nadal De Simone, 2013. "Banking Systemic Vulnerabilities: A Tail-risk Dynamic CIMDO Approach," BCL working papers 82, Central Bank of Luxembourg.
    5. Buncic, Daniel & Melecky, Martin, 2013. "Equilibrium credit : the reference point for macroprudential supervisors," Policy Research Working Paper Series 6358, The World Bank.
    6. Buncic, Daniel & Gisler, Katja I.M., 2016. "Global equity market volatility spillovers: A broader role for the United States," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1317-1339.
    7. Melecky, Ales & Melecky, Martin & Sulganova, Monika, 2014. "Úvěry v selhání a makroekonomika: Modelování systémového kreditního rizika v České republice
      [Non-performing loans and the macroeconomy: Modeling the systemic credit risk in Czech Republic]
      ," MPRA Paper 59917, University Library of Munich, Germany.
    8. Adam Gersl & Petr Jakubik & Tomas Konecny & Jakub Seidler, 2012. "Dynamic Stress Testing: The Framework for Testing Banking Sector Resilience Used by the Czech National Bank," Working Papers 2012/11, Czech National Bank, Research Department.
    9. Buncic, Daniel & Müller, Oliver, 2017. "Measuring the output gap in Switzerland with linear opinion pools," Economic Modelling, Elsevier, vol. 64(C), pages 153-171.
    10. Petr Jakubík & Tomáš Slacík, 2013. "Measuring Financial (In)Stability in Emerging Europe: A New Index-Based Approach," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 25, pages 102-117.
    11. Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2015. "Many a little makes a mickle: Macro portfolio stress test for small and medium-sized German banks," Discussion Papers 23/2015, Deutsche Bundesbank.
    12. Cecilia Dassatti & Alejandro Pena & Jorge Ponce & Magdalena Tubio, 2014. "Requerimiento de capital contra-cíclico. El caso uruguayo," Documentos de trabajo 2014008, Banco Central del Uruguay.
    13. Martin Macháček & Aleš Melecký & Monika Šulganová, . "Macroeconomic Drivers of Non-Performing Loans: A Meta-Regression Analysis," Prague Economic Papers, University of Economics, Prague, vol. 0, pages 1-24.
    14. Patrick Van Roy & Stijn Ferrari & Cristina Vespro, 2018. "Sensitivity of credit risk stress test results: Modelling issues with an application to Belgium," Working Paper Research 338, National Bank of Belgium.
    15. Petr Jakubík & Thomas Reininger, 2013. "Determinants of Nonperforming Loans in Central, Eastern and Southeastern Europe," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 48-66.
    16. Ghosh, Amit, 2017. "Sector-specific analysis of non-performing loans in the US banking system and their macroeconomic impact," Journal of Economics and Business, Elsevier, vol. 93(C), pages 29-45.
    17. Svetozar Tanasković & Maja Jandrić, 2015. "Macroeconomic and Institutional Determinants of Non-performing Loans," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 4(1), pages 47-62.

  6. Daniel Buncic, 2009. "Understanding forecast failure of ESTAR models of real exchange rates," EERI Research Paper Series EERI_RP_2009_18, Economics and Econometrics Research Institute (EERI), Brussels.

    Cited by:

    1. Buncic, Daniel & Lentner, Philipp, 2016. "The term structure of interest rates in an estimated New Keynesian policy model," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 126-150.
    2. Peter Martey Addo & Monica Billio & Dominique Guegan, 2013. "Understanding Exchange Rates Dynamics," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00803447, HAL.
    3. Buncic, Daniel & Melecky, Martin, 2013. "Macroprudential stress testing of credit risk: A practical approach for policy makers," Journal of Financial Stability, Elsevier, vol. 9(3), pages 347-370.
    4. Buncic, Daniel & Melecky, Martin, 2013. "Equilibrium credit : the reference point for macroprudential supervisors," Policy Research Working Paper Series 6358, The World Bank.
    5. Peter Martey Addo & Monica Billio & Dominique Guegan, 2011. "A test for a new modelling: The Univariate MT-STAR Model," Documents de travail du Centre d'Economie de la Sorbonne 11083, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    6. Buncic, Daniel & Piras, Gion Donat, 2016. "Heterogeneous agents, the financial crisis and exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 313-359.
    7. Buncic, Daniel & Moretto, Carlo, 2014. "Forecasting Copper Prices with Dynamic Averaging and Selection Models," Economics Working Paper Series 1430, University of St. Gallen, School of Economics and Political Science.
    8. Peter Martey Addo & Monica Billio & Dominique Guegan, 2011. "A New Modelling Test: The Univariate MT-STAR Model," Documents de travail du Centre d'Economie de la Sorbonne 11083r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Aug 2013.
    9. Corina SAMAN, 2015. "Out-Of-Sample Forecasting Performance Of A Robust Neural Exchange Rate Model Of Ron/Usd," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 93-106, March.

  7. Claus Brand & Daniel Buncic & Jarkko Turunen, 2008. "The Impact of ECB Monetary Policy Decisions and Communication on the Yield Curve," Discussion Papers 2008-11, School of Economics, The University of New South Wales.

    Cited by:

    1. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob de Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," DNB Working Papers 170, Netherlands Central Bank, Research Department.
    2. Rosa, Carlo & Verga, Giovanni, 2006. "The impact of central bank announcements on asset prices in real time: testing the efficiency of the Euribor futures market," LSE Research Online Documents on Economics 19777, London School of Economics and Political Science, LSE Library.
    3. Buncic, Daniel & Lentner, Philipp, 2016. "The term structure of interest rates in an estimated New Keynesian policy model," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 126-150.
    4. Carlo Rosa & Giovanni Verga, 2006. "The Impact of Central Bank Announcements on Asset Prices in Real Time: Testing the Efficiency of the Euribor Futures Market," CEP Discussion Papers dp0764, Centre for Economic Performance, LSE.
    5. Özer Karagedikli & Pierre L. Siklos, 2008. "Explaining Movements in the NZ Dollar - Central Bank Communication and the Surprise Element in Monetary Policy?," Reserve Bank of New Zealand Discussion Paper Series DP2008/02, Reserve Bank of New Zealand.
    6. Paul Hubert, 2015. "The effect of interest rate and communication shocks on private inflation expectations," Working papers wpaper122, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.
    7. Ehrmann, Michael & Fratzscher, Marcel, 2007. "Explaining monetary policy in press conferences," Working Paper Series 767, European Central Bank.
    8. Berger, Helge & Ehrmann, Michael & Fratzscher, Marcel, 2006. "Monetary policy in the media," Working Paper Series 679, European Central Bank.
    9. Caldas M., Gabriel, 2012. "Financial market reaction to central bank monetary policy communications under an inflation- targeting regime: the case of Brazil," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    10. Rosa, Carlo, 2013. "Market efficiency broadcasted live: ECB code words and euro exchange rates," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 167-178.
    11. Buncic, Daniel & Melecky, Martin, 2013. "Macroprudential stress testing of credit risk: A practical approach for policy makers," Journal of Financial Stability, Elsevier, vol. 9(3), pages 347-370.
    12. da Costa Filho, Adonias Evaristo & Rocha, Fabiana, 2009. "Comunicação e política monetária no Brasil," Revista Brasileira de Economia - RBE, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 63(4), December.
    13. Petra Geraats, 2014. "Monetary Policy Transparency," CESifo Working Paper Series 4611, CESifo Group Munich.
    14. Salomon Fiedler & Isabel Hanisch & Dr. Nils Jannsen Hanisch & Prof. Dr. Maik Wolters, 2017. "Effectiveness of Unconventional Monetary Policy in the Euro Area: An Assessment Based on a Literature Survey," Credit and Capital Markets, Credit and Capital Markets, vol. 50(4), pages 455-488.
    15. Hussain, Syed Mujahid, 2011. "Simultaneous monetary policy announcements and international stock markets response: An intraday analysis," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 752-764, March.
    16. Refet S. Gürkaynak & Jonathan H. Wright, 2013. "Identification and Inference Using Event Studies," Manchester School, University of Manchester, vol. 81, pages 48-65, September.
    17. Jan-Egbert Sturm & Jakob Haan, 2011. "Does central bank communication really lead to better forecasts of policy decisions? New evidence based on a Taylor rule model for the ECB," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 147(1), pages 41-58, April.
    18. Buncic, Daniel & Gisler, Katja I.M., 2016. "Global equity market volatility spillovers: A broader role for the United States," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1317-1339.
    19. Novotný, Jan & Petrov, Dmitri & Urga, Giovanni, 2015. "Trading price jump clusters in foreign exchange markets," Journal of Financial Markets, Elsevier, vol. 24(C), pages 66-92.
    20. Masahiko Shibamoto, 2016. "Source of Underestimation of the Monetary Policy Effect: Re-Examination of the Policy Effectiveness in Japan's 1990s," Manchester School, University of Manchester, vol. 84(6), pages 795-810, December.
    21. Benoît Cœuré, 2017. "Central Bank Communication in a Low Interest Rate Environment," Open Economies Review, Springer, vol. 28(5), pages 813-822, November.
    22. Carlo Rosa & Giovanni Verga, 2008. "The Impact of Central Bank Announcements on Asset Prices in Real Time," International Journal of Central Banking, International Journal of Central Banking, vol. 4(2), pages 175-217, June.
    23. Islas C., Alejandro & Cortez, Willy Walter, 2012. "Mexico: what is the impact of monetary policy on unemployment rates?," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    24. Hüning, Hendrik, 2016. "Asset market response to monetary policy news from SNB press releases," HWWI Research Papers 177, Hamburg Institute of International Economics (HWWI).
    25. León, Ángel & Sebestyén, Szabolcs, 2012. "New measures of monetary policy surprises and jumps in interest rates," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2323-2343.
    26. Michael Ehrmann & Jonathan Talmi, 2016. "Starting from a Blank Page? Semantic Similarity in Central Bank Communication and Market Volatility," Staff Working Papers 16-37, Bank of Canada.
    27. Buncic, Daniel & Piras, Gion Donat, 2016. "Heterogeneous agents, the financial crisis and exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 313-359.
    28. Jakob Haan, 2008. "The effect of ECB communication on interest rates: An assessment," The Review of International Organizations, Springer, vol. 3(4), pages 375-398, December.
    29. Helder Ferreira de Mendonça & Ivando Faria, 2015. "Brazilian Central Bank communication and interest rate expectations," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 8(1-2), pages 25-44, July.
    30. Rosa, Carlo, 2008. "Talking less and moving the market more: is this the recipe for monetary policy effectiveness?: evidence from the ECB and the Fed," LSE Research Online Documents on Economics 19629, London School of Economics and Political Science, LSE Library.
    31. Jérôme Coffinet & Sylvain Gouteron, 2010. "Euro-Area Yield Curve Reaction to Monetary News," German Economic Review, Verein für Socialpolitik, vol. 11, pages 208-224, May.
    32. Buncic, Daniel & Moretto, Carlo, 2014. "Forecasting Copper Prices with Dynamic Averaging and Selection Models," Economics Working Paper Series 1430, University of St. Gallen, School of Economics and Political Science.
    33. Donato Masciandaro & Davide Romelli, 2016. "From Silence to Voice: Monetary Policy, Central Bank Governance and Communication," BAFFI CAREFIN Working Papers 1627, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    34. Aleš Bulíř & Martin Čihák & David-Jan Jansen, 2013. "What Drives Clarity of Central Bank Communication About Inflation?," Open Economies Review, Springer, vol. 24(1), pages 125-145, February.
    35. El-Shagi, Makram & Giesen, Sebastian & Jung, Alexander, 2016. "Revisiting the relative forecast performances of Fed staff and private forecasters: A dynamic approach," International Journal of Forecasting, Elsevier, vol. 32(2), pages 313-323.
    36. C.Jardet & A. Monks, 2014. "Euro Area monetary policy shocks: impact on financial asset prices during the crisis?," Working papers 512, Banque de France.
    37. Lars winkelmann & Markus Bibinger & Tobias Linzert, 2013. "ECB monetary policy surprises: identification through cojumps in interest rates," SFB 649 Discussion Papers SFB649DP2013-038, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    38. Gabriel Caldas Montes & Rodolfo Tomás da Fonseca Nicolay, 2015. "Central bank’s perception on inflation and inflation expectations of experts: Empirical evidence from Brazil," Journal of Economic Studies, Emerald Group Publishing, vol. 42(6), pages 1142-1158, November.
    39. Patrick Luennemann & Dirk Mevis, 2008. "Eurosystem communication and financial market expectations," BCL working papers 30, Central Bank of Luxembourg.
    40. Hubert Paul, 2017. "Qualitative and quantitative central bank communication and inflation expectations," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(1), pages 1-41, January.
    41. Marcello Pericoli & Giovanni Veronese, 2017. "Monetary policy surprises over time," Temi di discussione (Economic working papers) 1102, Bank of Italy, Economic Research and International Relations Area.
    42. Adonias Evaristo Costa Filho & Fabiana Rocha, 2008. "Comunicação e política monetária no Brasil," Working Papers 08_17, Universidade de São Paulo, Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto.
    43. Schnatz, Bernd, 2006. "Is reversion to PPP in euro exchange rates non-linear?," Working Paper Series 682, European Central Bank.
    44. Winkelmann, Lars & Bibinger, Markus & Linzert, Tobias, 2013. "ECB monetary policy surprises: identification through cojumps in interest rates," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79721, Verein für Socialpolitik / German Economic Association.
    45. Buncic, Daniel & Tischhauser, Martin, 2017. "Macroeconomic factors and equity premium predictability," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 621-644.
    46. Hüning, Hendrik, 2017. "Asset market response to monetary policy news from SNB press releases," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 160-177.
    47. Vergote, Olivier & Puigvert Gutiérrez, Josep Maria, 2012. "Interest rate expectations and uncertainty during ECB Governing Council days: Evidence from intraday implied densities of 3-month EURIBOR," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2804-2823.
    48. Burak Eroglu & Secil Yildirim-Karaman, 2017. "Responses Of Term Structure Of Interest Rates And Asset Prices To Monetary Policy Shocks: Evidence From Turkey," Working Papers 1705, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    49. Gregor, Jiri & Melecky, Martin, 2018. "The Pass-Through of Monetary Policy Rate to Lending Rates: The Role of Macro-financial Factors," MPRA Paper 84048, University Library of Munich, Germany.
    50. Lubomira Gertler, 2015. "Interactions of Unconventional Monetary Policy Measures with the Euro Area Yield Curve," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(2), pages 106-126, March.
    51. Lars Winkelmann & Markus Bibinger & Tobias Linzert, 2016. "ECB Monetary Policy Surprises: Identification Through Cojumps in Interest Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 613-629, June.
    52. Paul Hubert, 2014. "Disentangling qualitative and quantitative central bank influence," Working Papers hal-01098464, HAL.
    53. Linzert, Tobias & Winkelmann, Lars & Bibinger, Markus, 2014. "ECB monetary policy surprises: identification through cojumps in interest rates," Working Paper Series 1674, European Central Bank.

  8. Buncic, Daniel & Melecky, Martin, 2007. "An estimated New Keynesian policy model for Australia," MPRA Paper 4138, University Library of Munich, Germany.

    Cited by:

    1. Haider, Adnan & Khan, Safdar Ullah, 2008. "A Small Open Economy DSGE Model for Pakistan," MPRA Paper 12977, University Library of Munich, Germany, revised 17 Jan 2009.
    2. Melecky, Ales & Melecky, Martin, 2008. "From Inflation to Exchange Rate Targeting: Estimating the Stabilization Effects," MPRA Paper 10844, University Library of Munich, Germany.
    3. Martin Melecky & Evgenij Najdov, 2010. "Comparing constraints to economic stabilization in Macedonia and Slovakia: macroestimates with micronarratives," Applied Financial Economics, Taylor & Francis Journals, vol. 20(9), pages 681-699.
    4. Buncic, Daniel & Lentner, Philipp, 2016. "The term structure of interest rates in an estimated New Keynesian policy model," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 126-150.
    5. Eurilton Araújo & Débora Gouveia, 2013. "Calvo-type rules and the forward-looking behavior of inflation targeting central banks," Economics Bulletin, AccessEcon, vol. 33(3), pages 2042-2051.
    6. Daniel Rees & Penelope Smith & Jamie Hall, 2015. "A Multi-sector Model of the Australian Economy," RBA Research Discussion Papers rdp2015-07, Reserve Bank of Australia.
    7. Jarkko Jääskelä & Kristoffer Nimark, 2008. "A Medium-scale Open Economy Model of Australia," RBA Research Discussion Papers rdp2008-07, Reserve Bank of Australia.
    8. Syed, Kanwar Abbas, 2009. "Do Money Or Oil And Crop Productivity Shocks Lead To Inflation: The Case Of Pakistan," MPRA Paper 15223, University Library of Munich, Germany.
    9. Buncic, Daniel & Melecky, Martin, 2013. "Macroprudential stress testing of credit risk: A practical approach for policy makers," Journal of Financial Stability, Elsevier, vol. 9(3), pages 347-370.
    10. Georgiadis, Georgios & Jancokova, Martina, 2017. "Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks," Globalization and Monetary Policy Institute Working Paper 314, Federal Reserve Bank of Dallas.
    11. Melecky, Martin, 2009. "Macroeconomic Management, Financial Sector Development and Crisis Resilience: Some Stylized Facts from Central and Eastern Europe," MPRA Paper 28214, University Library of Munich, Germany, revised 15 Jan 2011.
    12. Buncic, Daniel & Melecky, Martin, 2013. "Equilibrium credit : the reference point for macroprudential supervisors," Policy Research Working Paper Series 6358, The World Bank.
    13. Leu, Shawn Chen-Yu, 2011. "A New Keynesian SVAR model of the Australian economy," Economic Modelling, Elsevier, vol. 28(1-2), pages 157-168, January.
    14. Malikane, Christopher & Ojah, Kalu, 2014. "Fisher's Relation and the Term Structure: Implications for IS Curves," MPRA Paper 55553, University Library of Munich, Germany.
    15. Mardi Dungey & Denise Osborn & Mala Raghavan, 2014. "International Transmissions to Australia: The Roles of the USA and Euro Area," The Economic Record, The Economic Society of Australia, vol. 90(291), pages 421-446, December.
    16. Ara Stepanyan & Era Dabla-Norris & Ashot Anatolii Mkrtchyan, 2009. "A New Keynesian Model of the Armenian Economy," IMF Working Papers 09/66, International Monetary Fund.
    17. Buncic, Daniel & Müller, Oliver, 2017. "Measuring the output gap in Switzerland with linear opinion pools," Economic Modelling, Elsevier, vol. 64(C), pages 153-171.
    18. Jarkko P. Jääskelä & Kristoffer P. Nimark, 2011. "A Medium-Scale New Keynesian Open Economy Model of Australia," Working Papers 588, Barcelona Graduate School of Economics.
    19. Sheen, Jeffrey & Wang, Ben Zhe, 2016. "Assessing labor market frictions in a small open economy," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 231-251.
    20. Harding, Don & Negara, Siwage, 2008. "Estimating baseline real business cycle models of the Australian economy," MPRA Paper 33556, University Library of Munich, Germany.
    21. de Silva, Ashton, 2008. "Forecasting macroeconomic variables using a structural state space model," MPRA Paper 11060, University Library of Munich, Germany.
    22. Kitov, Ivan & Kitov, Oleg, 2011. "The Australian Phillips curve and more," MPRA Paper 28762, University Library of Munich, Germany.
    23. Melecky, Ales & Melecky, Martin, 2010. "From inflation to exchange rate targeting: Estimating the stabilization effects for a small open economy," Economic Systems, Elsevier, vol. 34(4), pages 450-468, December.
    24. Felipe Morandé L. & Mauricio Tejada G., 2009. "Persistent Supply Shocks: A Pain in the Neck for Central Banks?," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 12(3), pages 25-58, December.
    25. Caraiani, Petre, 2008. "An Analysis Of Domestic And External Shocks On Romanian Economy Using A Dsge Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(3), pages 100-114, September.

Articles

  1. Buncic, Daniel & Müller, Oliver, 2017. "Measuring the output gap in Switzerland with linear opinion pools," Economic Modelling, Elsevier, vol. 64(C), pages 153-171.

    Cited by:

    1. Buncic, Daniel & Tischhauser, Martin, 2017. "Macroeconomic factors and equity premium predictability," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 621-644.

  2. Buncic, Daniel & Gisler, Katja I.M., 2016. "Global equity market volatility spillovers: A broader role for the United States," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1317-1339.
    See citations under working paper version above.
  3. Buncic, Daniel & Piras, Gion Donat, 2016. "Heterogeneous agents, the financial crisis and exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 313-359.
    See citations under working paper version above.
  4. Buncic, Daniel & Lentner, Philipp, 2016. "The term structure of interest rates in an estimated New Keynesian policy model," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 126-150.

    Cited by:

    1. Buncic, Daniel & Müller, Oliver, 2017. "Measuring the output gap in Switzerland with linear opinion pools," Economic Modelling, Elsevier, vol. 64(C), pages 153-171.

  5. Daniel Buncic & Jon E. Eggins & Robert J. Hill & David Gallagher, 2015. "Measuring fund style, performance and activity: a new style-profiling approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 55(1), pages 29-55, March.

    Cited by:

    1. Michael J. O'Neill & Zhangxin Liu & Tom Smith, 2017. "Fund Volatility Index using equity market state prices," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(3), pages 837-853, September.

  6. Buncic, Daniel & Moretto, Carlo, 2015. "Forecasting copper prices with dynamic averaging and selection models," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 1-38.
    See citations under working paper version above.
  7. Buncic, Daniel & Melecky, Martin, 2014. "Equilibrium credit: The reference point for macroprudential supervisors," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 135-154.
    See citations under working paper version above.
  8. Buncic, Daniel & Melecky, Martin, 2013. "Macroprudential stress testing of credit risk: A practical approach for policy makers," Journal of Financial Stability, Elsevier, vol. 9(3), pages 347-370.
    See citations under working paper version above.
  9. Daniel Buncic, 2012. "Understanding forecast failure of ESTAR models of real exchange rates," Empirical Economics, Springer, vol. 43(1), pages 399-426, August.
    See citations under working paper version above.
  10. Claus Brand & Daniel Buncic & Jarkko Turunen, 2010. "The Impact of ECB Monetary Policy Decisions and Communication on the Yield Curve," Journal of the European Economic Association, MIT Press, vol. 8(6), pages 1266-1298, December.
    See citations under working paper version above.
  11. Daniel Buncic & Martin Melecky, 2008. "An Estimated New Keynesian Policy Model for Australia," The Economic Record, The Economic Society of Australia, vol. 84(264), pages 1-16, March.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 19 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-FOR: Forecasting (8) 2005-12-09 2008-02-02 2008-02-16 2009-02-07 2009-08-30 2014-09-25 2015-01-03 2015-10-25. Author is listed
  2. NEP-MAC: Macroeconomics (6) 2005-12-09 2007-07-27 2008-08-31 2011-10-15 2015-01-03 2015-10-25. Author is listed
  3. NEP-BAN: Banking (5) 2011-10-09 2011-10-15 2012-01-18 2013-02-16 2013-03-09. Author is listed
  4. NEP-CBA: Central Banking (4) 2007-07-27 2008-08-31 2013-02-16 2013-03-09
  5. NEP-IFN: International Finance (4) 2008-02-02 2008-02-16 2009-02-07 2009-08-30
  6. NEP-ECM: Econometrics (3) 2008-02-02 2009-08-30 2017-11-19
  7. NEP-ETS: Econometric Time Series (3) 2008-02-02 2009-02-07 2017-11-19
  8. NEP-RMG: Risk Management (3) 2011-10-09 2011-10-15 2012-01-18
  9. NEP-TRA: Transition Economics (3) 2011-10-09 2011-10-15 2012-01-18
  10. NEP-MON: Monetary Economics (2) 2007-07-27 2008-08-31
  11. NEP-OPM: Open Economy Macroeconomics (2) 2009-02-07 2009-08-30
  12. NEP-DGE: Dynamic General Equilibrium (1) 2005-12-09
  13. NEP-EEC: European Economics (1) 2008-08-31

Corrections

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

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

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

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

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

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.