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Michiel De Pooter

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. Michiel De Pooter, 2021. "Questions and Answers: The Information Content of the Post-FOMC Meeting Press Conference," FEDS Notes 2021-10-12, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Sinem Kandemir & Peter Tillmann, 2023. "Not all ECB meetings are created equal," MAGKS Papers on Economics 202312, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    2. Ruman, Asif M., 2023. "A Comparative Textual Study of FOMC Transcripts Through Inflation Peaks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 87(C).

  2. Michiel De Pooter & Giovanni Favara & Michele Modugno & Jason J. Wu, 2020. "Monetary Policy Uncertainty and Monetary Policy Surprises," Finance and Economics Discussion Series 2020-032, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Efrem Castelnuovo, 2022. "Uncertainty Before and During COVID-19: A Survey," "Marco Fanno" Working Papers 0279, Dipartimento di Scienze Economiche "Marco Fanno".
    2. Altmeyer, Patrick & Boneva, Leva & Kinston, Rafael & Saha, Shreyosi & Stoja, Evarist, 2023. "Yield curve sensitivity to investor positioning around economic shocks," Bank of England working papers 1029, Bank of England.
    3. Danilo Cascaldi-Garcia & Cisil Sarisoy & Juan M. Londono & Bo Sun & Deepa D. Datta & Thiago Ferreira & Olesya Grishchenko & Mohammad R. Jahan-Parvar & Francesca Loria & Sai Ma & Marius Rodriguez & Ilk, 2023. "What Is Certain about Uncertainty?," Journal of Economic Literature, American Economic Association, vol. 61(2), pages 624-654, June.
    4. Yang Hu & Yanran Hong & Kai Feng & Jikai Wang, 2023. "Evaluating the Importance of Monetary Policy Uncertainty: The Long- and Short-Term Effects and Responses," Evaluation Review, , vol. 47(2), pages 264-286, April.
    5. Onur Polat, 2021. "Time-Varying Network Connectedness of G-7 Economic Policy Uncertainties: A Locally Stationary TVP-VAR Approach," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 7(2), pages 47-59, December.
    6. Matsumoto, Ryo & Morita, Hiroshi & Ono, Taiki, 2022. "Central Bank Information Effects in Japan : The Role of Uncertainty Channel," Discussion paper series HIAS-E-126, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    7. Enrique Alberola & Carlos Cantú & Paolo Cavallino & Nikola Mirkov, 2022. "Fiscal regimes and the exchange rate," Working Papers 2022-01, Swiss National Bank.
    8. Samuel Federico Kaplan & Arin Kerim Peren & Polyzos Efstathios & Spagnolo Nicola, 2022. "Stock Market Responses to Monetary Policy Shocks: Universal Firm-Level Evidence," Asociación Argentina de Economía Política: Working Papers 4571, Asociación Argentina de Economía Política.
    9. Chao Liang & Yanran Hong & Luu Duc Toan Huynh & Feng Ma, 2023. "Asymmetric dynamic risk transmission between financial stress and monetary policy uncertainty: thinking in the post-covid-19 world," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1543-1567, May.
    10. Jung, Alexander, 2023. "US monetary policy spillovers to European banks," Working Paper Series 2876, European Central Bank.
    11. Sekandary, Ghezal & Bask, Mikael, 2023. "Monetary policy uncertainty, monetary policy surprises and stock returns," Journal of Economics and Business, Elsevier, vol. 124(C).
    12. Fraccaroli, Nicolò & Giovannini, Alessandro & Jamet, Jean-Francois, 2020. "Central banks in parliaments: a text analysis of the parliamentary hearings of the Bank of England, the European Central Bank and the Federal Reserve," Working Paper Series 2442, European Central Bank.
    13. Han, Haozhe & Wang, Xingjian, 2023. "Monetary policy uncertainty and corporate cash holdings: Evidence from China," Journal of Financial Stability, Elsevier, vol. 67(C).
    14. Camelia Minoiu & Rebecca Zarutskie & Andrei Zlate, 2021. "Motivating Banks to Lend? Credit Spillover Effects of the Main Street Lending Program," Finance and Economics Discussion Series 2021-078, Board of Governors of the Federal Reserve System (U.S.).
    15. Botshekan , Mohammad Hashem & Takaloo , Amir & H. soureh , Reza & Abdollahi Poor , Mohammad Sadegh, 2021. "Global Economic Policy Uncertainty (GEPU) and Non-Performing Loans (NPL) in Iran's Banking System: Dynamic Correlation using the DCC-GARCH Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(2), pages 187-212, June.

  3. Michiel De Pooter & Giovanni Favara & Michele Modugno & Jason J. Wu, 2018. "Monetary Policy Surprises and Monetary Policy Uncertainty," FEDS Notes 2018-05-18, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Oguzhan Cepni & Rangan Gupta, 2020. "Time-Varying Impact of Monetary Policy Shocks on U.S. Stock Returns: The Role of Investor Sentiment," Working Papers 202039, University of Pretoria, Department of Economics.
    2. Michael D Bauer & Aeimit Lakdawala & Philippe Mueller, 2022. "Market-Based Monetary Policy Uncertainty," The Economic Journal, Royal Economic Society, vol. 132(644), pages 1290-1308.
    3. Husted, Lucas & Rogers, John & Sun, Bo, 2020. "Monetary policy uncertainty," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 20-36.
    4. Lakdawala, Aeimit, 2018. "The growing impact of US monetary policy on emerging financial markets: Evidence from India," Working Papers 2018-9, Michigan State University, Department of Economics.
    5. Tarek Chebbi, 2021. "The response of precious metal futures markets to unconventional monetary surprises in the presence of uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1897-1916, April.
    6. Jonathan Goldberg & Elizabeth C. Klee & Edward Simpson Prescott & Paul R. Wood, 2020. "Monetary Policy Strategies and Tools: Financial Stability Considerations," Finance and Economics Discussion Series 2020-074, Board of Governors of the Federal Reserve System (U.S.).

  4. Stephanie E. Curcuru & Michiel De Pooter & George Eckerd, 2018. "Measuring Monetary Policy Spillovers between U.S. and German Bond Yields," International Finance Discussion Papers 1226, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Ca' Zorzi, Michele & Dedola, Luca & Georgiadis, Georgios & Jarociński, Marek & Stracca, Livio & Strasser, Georg, 2020. "Monetary policy and its transmission in a globalised world," Working Paper Series 2407, European Central Bank.
    2. Jarociński, Marek, 2022. "Central bank information effects and transatlantic spillovers," Journal of International Economics, Elsevier, vol. 139(C).
    3. Jasper Hoek & Steven B. Kamin & Emre Yoldas, 2020. "When is Bad News Good News? U.S. Monetary Policy, Macroeconomic News, and Financial Conditions in Emerging Markets," International Finance Discussion Papers 1269, Board of Governors of the Federal Reserve System (U.S.).
    4. Don H. Kim & Marcelo Ochoa, 2021. "International Yield Spillovers," Finance and Economics Discussion Series 2021-001, Board of Governors of the Federal Reserve System (U.S.).
    5. Richard H. Clarida, 2021. "Perspectives on Global Monetary Policy Coordination, Cooperation, and Correlation: a speech at the "Macroeconomic Policy and Global Economic Recovery" 2021 Asia Economic Policy Conference, s," Speech 93388, Board of Governors of the Federal Reserve System (U.S.).

  5. Doug Brain & Michiel De Pooter & Dobrislav Dobrev & Michael J. Fleming & Peter Johansson & Collin Jones & Frank M. Keane & Michael Puglia & Liza Reiderman & Anthony P. Rodrigues & Or Shachar, 2018. "Unlocking the Treasury Market through TRACE," Liberty Street Economics 20180928b, Federal Reserve Bank of New York.
    • Doug Brain & Michiel De Pooter & Dobrislav Dobrev & Michael J. Fleming & Peter Johansson & Collin Jones & Frank M. Keane & Michael Puglia & Liza Reiderman & Tony Rodrigues & Or Shachar, 2018. "Unlocking the Treasury Market through TRACE," FEDS Notes 2018-09-28-1, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. De Pooter, Michiel & Favara, Giovanni & Modugno, Michele & Wu, Jason, 2021. "Monetary policy uncertainty and monetary policy surprises," Journal of International Money and Finance, Elsevier, vol. 112(C).
    2. De Pooter, Michiel & Favara, Giovanni & Modugno, Michele & Wu, Jason, 2021. "Reprint: Monetary policy uncertainty and monetary policy surprises," Journal of International Money and Finance, Elsevier, vol. 114(C).
    3. Egemen Eren & Philip Wooldridge, 2021. "Non-bank financial institutions and the functioning of government bond markets," BIS Papers, Bank for International Settlements, number 119.
    4. James Collin Harkrader & Michael Puglia, 2020. "Price Discovery in the U.S. Treasury Cash Market: On Principal Trading Firms and Dealers," Finance and Economics Discussion Series 2020-096, Board of Governors of the Federal Reserve System (U.S.).

  6. Doug Brain & Michiel De Pooter & Dobrislav Dobrev & Michael J. Fleming & Peter Johansson & Frank M. Keane & Michael Puglia & Anthony P. Rodrigues & Or Shachar, 2018. "Breaking Down TRACE Volumes Further," Liberty Street Economics 20181129, Federal Reserve Bank of New York.
    • Doug Brain & Michiel De Pooter & Dobrislav Dobrev & Michael J. Fleming & Peter Johansson & Frank M. Keane & Michael Puglia & Tony Rodrigues & Or Shachar, 2018. "Breaking Down TRACE Volumes Further," FEDS Notes 2018-11-29, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Darrell Duffie & Michael Fleming & Frank Keane & Claire Nelson & Or Shachar & Peter Van Tassel, 2023. "Dealer capacity and US Treasury market functionality," BIS Working Papers 1138, Bank for International Settlements.
    2. Adrian, Tobias & Capponi, Agostino & Fleming, Michael & Vogt, Erik & Zhang, Hongzhong, 2020. "Intraday market making with overnight inventory costs," Journal of Financial Markets, Elsevier, vol. 50(C).
    3. Broto, Carmen & Lamas, Matías, 2020. "Is market liquidity less resilient after the financial crisis? Evidence for US Treasuries," Economic Modelling, Elsevier, vol. 93(C), pages 217-229.
    4. Michael J. Fleming & Frank M. Keane, 2021. "The Netting Efficiencies of Marketwide Central Clearing," Staff Reports 964, Federal Reserve Bank of New York.
    5. James Collin Harkrader & Michael Puglia, 2020. "Price Discovery in the U.S. Treasury Cash Market: On Principal Trading Firms and Dealers," Finance and Economics Discussion Series 2020-096, Board of Governors of the Federal Reserve System (U.S.).

  7. John Ammer & Michiel De Pooter & Christopher J. Erceg & Steven B. Kamin, 2016. "International Spillovers of Monetary Policy," IFDP Notes 2016-02-08-1, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Stefan Avdjiev & Galina Hale, 2018. "U.S. Monetary Policy and Fluctuations of International Bank Lending," Working Paper Series 2018-2, Federal Reserve Bank of San Francisco.
    2. Hoek, Jasper & Kamin, Steve & Yoldas, Emre, 2022. "Are higher U.S. interest rates always bad news for emerging markets?," Journal of International Economics, Elsevier, vol. 137(C).
    3. Javier G. Gómez-Pineda, 2017. "Volatility spillovers and the global financial cycle across economies: evidence from a global semi-structural model," Borradores de Economia 1011, Banco de la Republica de Colombia.
    4. Arrigoni, Simone & Bobasu, Alina & Venditti, Fabrizio, 2021. "The simpler, the better: Measuring financial conditions for monetary policy and financial stability," EIB Working Papers 2021/10, European Investment Bank (EIB).
    5. Kose,Ayhan & Lakatos,Csilla & Ohnsorge,Franziska Lieselotte & Stocker,Marc, 2017. "The global role of the U.S. economy: linkages, policies and spillovers," Policy Research Working Paper Series 7962, The World Bank.
    6. Ernest Gnan & Claudia Kwapil & Maria Teresa Valderrama, 2018. "Monetary policy after the crisis: mandates, targets, and international linkages," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q2/18, pages 8-33.
    7. Gustavo Adler & Carolina Osorio Buitron, 2019. "Policy mix and the U.S. trade balance," International Finance, Wiley Blackwell, vol. 22(2), pages 138-154, August.
    8. Christensen, Jens H.E. & Fischer, Eric & Shultz, Patrick J., 2021. "Bond flows and liquidity: Do foreigners matter?," Journal of International Money and Finance, Elsevier, vol. 117(C).
    9. Urom, Christian & Guesmi, Khaled & Abid, Ilyes & Dagher, Leila, 2023. "Dynamic integration and transmission channels among interest rates and oil price shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 296-317.
    10. Pierre-Richard Agénor & Luiz A. Pereira da Silva, 2022. "Financial spillovers, spillbacks, and the scope for international macroprudential policy coordination," International Economics and Economic Policy, Springer, vol. 19(1), pages 79-127, February.
    11. Arestis, Philip & Phelps, Peter, 2017. "Financial market implications of monetary policy coincidences: Evidence from the UK and Euro Area government-bond markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 49(C), pages 88-102.
    12. Ruch,Franz Ulrich, 2020. "Prospects, Risks, and Vulnerabilities in Emerging and Developing Economies : Lessons from the Past Decade," Policy Research Working Paper Series 9181, The World Bank.

  8. Michiel De Pooter & Robert F. Martin & Seth Pruitt, 2015. "The Liquidity Effects of Official Bond Market Intervention," International Finance Discussion Papers 1138, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Trebesch, Christoph & Zettelmeyer, Jeromin, 2018. "ECB interventions in distressed sovereign debt markets: The case of Greek bonds," Kiel Working Papers 2101, Kiel Institute for the World Economy (IfW Kiel).
    2. Marco Casiraghi & Eugenio Gaiotti & Lisa Rodano & Alessandro Secchi, 2013. "The impact of unconventional monetary policy on the Italian economy during the sovereign debt crisis," Questioni di Economia e Finanza (Occasional Papers) 203, Bank of Italy, Economic Research and International Relations Area.
    3. Christophe Blot & Caroline Bozou & Jérôme Creel & Paul Hubert, 2021. "Are all Central Bank Asset Purchases the Same? Different Rationales, Different Effects," SciencePo Working papers Main hal-03554141, HAL.
    4. Blix Grimaldi, Marianna & Crosta, Alberto & Zhang, Dong, 2021. "The Liquidity of the Government Bond Market – What Impact Does Quantitative Easing Have? Evidence from Sweden," Working Paper Series 402, Sveriges Riksbank (Central Bank of Sweden).
    5. Gómez-Puig, Marta & Pieterse-Bloem, Mary & Sosvilla-Rivero, Simón, 2023. "Dynamic connectedness between credit and liquidity risks in euro area sovereign debt markets," Journal of Multinational Financial Management, Elsevier, vol. 68(C).
    6. Weigerding, Michael, 2023. "Long-term liquidity effects of large-scale asset purchase programs: Evidence from the euro covered bond market," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 244-264.
    7. Caballero, Diego & Lucas, André & Schwaab, Bernd & Zhang, Xin, 2019. "Risk endogeneity at the lender/investor-of-last-resort," Working Paper Series 2225, European Central Bank.
    8. Hartmann, Philipp & Smets, Frank, 2018. "The first twenty years of the European Central Bank: monetary policy," CEPR Discussion Papers 13411, C.E.P.R. Discussion Papers.
    9. Albertazzi, Ugo & Barbiero, Francesca & Marqués-Ibáñez, David & Popov, Alexander & Rodriguez d’Acri, Costanza & Vlassopoulos, Thomas, 2020. "Monetary policy and bank stability: the analytical toolbox reviewed," Working Paper Series 2377, European Central Bank.
    10. Havlik, Annika & Heinemann, Friedrich & Helbig, Samuel & Nover, Justus, 2021. "Dispelling the shadow of fiscal dominance? Fiscal and monetary announcement effects for euro area sovereign spreads in the corona pandemic," ZEW Discussion Papers 21-050, ZEW - Leibniz Centre for European Economic Research.
    11. Arvind Krishnamurthy & Stefan Nagel & Annette Vissing-Jorgensen, 2017. "ECB Policies Involving Government Bond Purchases: Impact and Channels," NBER Working Papers 23985, National Bureau of Economic Research, Inc.
    12. Carnazza, Giovanni & Liberati, Paolo, 2021. "The asymmetric impact of the pandemic crisis on interest rates on public debt in the Eurozone," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 521-542.
    13. John Muellbauer, 2013. "Conditional Eurobonds and the Eurozone Sovereign Debt Crisis," Economics Series Working Papers 681, University of Oxford, Department of Economics.
    14. Hülsewig, Oliver & Rottmann, Horst, 2021. "Euro area periphery countries' fiscal policy and monetary policy surprises," Weidener Diskussionspapiere 81, University of Applied Sciences Amberg-Weiden (OTH).
    15. Urszula Szczerbowicz, 2012. "The ECB Unconventional Monetary Policies: Have They Lowered Market Borrowing Costs for Banks and Governments?," Working Papers 2012-36, CEPII research center.
    16. Christian Bayer & Chi Hyun Kim & Alexander Kriwoluzky, 2018. "The Term Structure of Redenomination Risk," Discussion Papers of DIW Berlin 1740, DIW Berlin, German Institute for Economic Research.
    17. Bletzinger, Tilman & Greif, William & Schwaab, Bernd, 2022. "Can EU bonds serve as euro-denominated safe assets?," Working Paper Series 2712, European Central Bank.
    18. Manganelli, Simone & Idier, Julien & Vergote, Olivier & Ghysels, Eric, 2014. "A high frequency assessment of the ECB securities markets programme," Working Paper Series 1642, European Central Bank.
    19. Christophe Blot & Caroline Bozou & Jérôme Creel & Paul Hubert, 2022. "The Conditional Path of Central Bank Asset Purchases," Working papers 885, Banque de France.
    20. Lena Boneva & David Elliott & Iryna Kaminska & Oliver Linton & Nick McLaren & Ben Morley, 2022. "The Impact of Corporate QE on Liquidity: Evidence from the UK," The Economic Journal, Royal Economic Society, vol. 132(648), pages 2615-2643.
    21. Yuriy Kitsul & Oleg Sokolinskiy & Jonathan H. Wright, 2022. "Market Effects of Central Bank Credit Markets Support Programs in Europe," International Finance Discussion Papers 1357, Board of Governors of the Federal Reserve System (U.S.).
    22. Corradin, Stefano & Grimm, Niklas & Schwaab, Bernd, 2021. "Euro area sovereign bond risk premia during the Covid-19 pandemic," Working Paper Series 2561, European Central Bank.
    23. Carsten M. Stann & Theocharis N. Grigoriadis, 2020. "Monetary Policy Transmission to Russia and Eastern Europe," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 62(2), pages 303-353, June.
    24. Jäger, Jannik & Grigoriadis, Theocharis, 2017. "The effectiveness of the ECB’s unconventional monetary policy: Comparative evidence from crisis and non-crisis Euro-area countries," Journal of International Money and Finance, Elsevier, vol. 78(C), pages 21-43.
    25. Christophe Blot & Paul Hubert & Jérôme Creel & Caroline Bozou, 2023. "The conditionality of monetary policy instruments," EconomiX Working Papers 2023-15, University of Paris Nanterre, EconomiX.
    26. Marta Gómez-Puig & Mary Pieterse-Bloem & Simón Sosvilla-Rivero, 2022. ""Dynamic connectedness between credit and liquidity risks in EMU sovereign debt markets"," IREA Working Papers 202217, University of Barcelona, Research Institute of Applied Economics, revised Oct 2022.
    27. Bai, Yiyi & Dang, Tri Vi & He, Qing & Lu, Liping, 2022. "Does lending relationship help or alleviate the transmission of liquidity shocks? Evidence from a liquidity crunch in China," Journal of Financial Stability, Elsevier, vol. 58(C).
    28. Smith, Ariel, 2020. "The European Central Bank's Securities Markets Programme (ECB GFC)," Journal of Financial Crises, Yale Program on Financial Stability (YPFS), vol. 2(3), pages 369-381, April.
    29. Galema, Rients & Lugo, Stefano, 2021. "When central banks buy corporate bonds: Target selection and impact of the European Corporate Sector Purchase Program," Journal of Financial Stability, Elsevier, vol. 54(C).
    30. Fabian Eser & Wolfgang Lemke & Ken Nyholm & Sören Radde & Andreea Liliana Vladu, 2023. "Tracing the Impact of the ECB’s Asset Purchase Program on the Yield Curve," International Journal of Central Banking, International Journal of Central Banking, vol. 19(3), pages 359-422, August.
    31. Sondershaus, Talina, 2019. "Spillovers of asset purchases within the real sector: Win-win or joy and sorrow?," IWH Discussion Papers 22/2019, Halle Institute for Economic Research (IWH).
    32. Wollmershäuser, Timo & Hristov, Nikolay & Hülsewig, Oliver & Siemsen, Thomas, 2014. "Smells Like Fiscal Policy? Assessing the Potential Effectiveness of the ECB s OMT Program," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100280, Verein für Socialpolitik / German Economic Association.
    33. Pateiro-Rodríguez, Carlos & Freire-Seoane, María Jesús & López-Bermúdez, Beatriz & Pateiro-López, Carlos, 2020. "Análisis de la tendencia a la liquidez del agregado monetario M3 en la eurozona: 1997-2018," El Trimestre Económico, Fondo de Cultura Económica, vol. 87(345), pages 171-201, enero-mar.
    34. Ortmans, Aymeric & Tripier, Fabien, 2021. "COVID-induced sovereign risk in the euro area: When did the ECB stop the spread?," European Economic Review, Elsevier, vol. 137(C).
    35. Michele Anelli & Michele Patanè & Mario Toscano & Alessio Gioia, 2021. "The Evolution of the Lead-lag Markets in the Price Discovery Process of the Sovereign Credit Risk: the Case of Italy," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(2), pages 1-7.
    36. Grosse-Rueschkamp, Benjamin & Steffen, Sascha & Streitz, Daniel, 2019. "A capital structure channel of monetary policy," Journal of Financial Economics, Elsevier, vol. 133(2), pages 357-378.
    37. Pelizzon, Loriana & Subrahmanyam, Marti G. & Tomio, Davide & Uno, Jun, 2018. "Central bank-driven mispricing," SAFE Working Paper Series 226, Leibniz Institute for Financial Research SAFE, revised 2018.
    38. Marco Bernardini & Antonio M. Conti, 2023. "Announcement and implementation effects of central bank asset purchases," Temi di discussione (Economic working papers) 1435, Bank of Italy, Economic Research and International Relations Area.
    39. Boneva, Lena & Islami, Mevlud & Schlepper, Kathi, 2021. "Liquidity in the German corporate bond market: Has the CSPP made a difference?," Discussion Papers 08/2021, Deutsche Bundesbank.
    40. Stann, Carsten M. & Grigoriadis, Theocharis, 2019. "Monetary policy transmission to Russia & Eastern Europe," Discussion Papers 2019/6, Free University Berlin, School of Business & Economics.
    41. Caravaggio, Nicola & Carnazza, Giovanni, 2022. "The Italian nominal interest rate conundrum: A problem of growth or public finance?," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 313-326.
    42. Corradin, Stefano & Schwaab, Bernd, 2023. "Euro area sovereign bond risk premia before and during the Covid-19 pandemic," European Economic Review, Elsevier, vol. 153(C).
    43. Christensen, Jens H.E. & Gillan, James M., 2022. "Does quantitative easing affect market liquidity?," Journal of Banking & Finance, Elsevier, vol. 134(C).
    44. Dubecq, Simon & Monfort, Alain & Renne, Jean-Paul & Roussellet, Guillaume, 2016. "Credit and liquidity in interbank rates: A quadratic approach," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 29-46.
    45. Jakob de Haan & Willem van den End & Jon Frost & Christiaan Pattipeilohy & Mostafa Tabbae, 2013. "Unconventional Monetary Policy of the ECB during the Financial Crisis: An Assessment and New Evidence," SUERF 50th Anniversary Volume Chapters, in: Morten Balling & Ernest Gnan (ed.), 50 Years of Money and Finance: Lessons and Challenges, chapter 4, pages 117-156, SUERF - The European Money and Finance Forum.
    46. Geert Mesters & Bernd Schwaab & Siem Jan Koopman, 2014. "A Dynamic Yield Curve Model with Stochastic Volatility and Non-Gaussian Interactions: An Empirical Study of Non-standard Monetary Policy in the Euro Area," Tinbergen Institute Discussion Papers 14-071/III, Tinbergen Institute.
    47. Aymeric Ortmans & Fabien Tripier, 2020. "COVID-Induced Sovereign Risk in the Euro Area: When Did the ECB Stop the Contagion?," Working Papers 2020-11, CEPII research center.
    48. El Kalak, Izidin & Leung, Woon Sau & Takahashi, Hidenori & Yamada, Kazuo, 2023. "The Bank of Japan's equity purchases and stock illiquidity," Journal of Financial Markets, Elsevier, vol. 63(C).
    49. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur & Yiangou, Jonathan, 2019. "A tale of two decades: the ECB’s monetary policy at 20," Working Paper Series 2346, European Central Bank.
    50. Motto, Roberto & Özen, Kadir, 2022. "Market-stabilization QE," Working Paper Series 2640, European Central Bank.

  9. Michiel De Pooter & Robert F. Martin & Seth Pruitt & Rebecca DeSimone, 2015. "Cheap Talk and the Efficacy of the ECB’s Securities Market Programme: Did Bond Purchases Matter?," International Finance Discussion Papers 1139, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Markmann, Holger & Zietz, Joachim, 2017. "Determining the effectiveness of the Eurosystem’s Covered Bond Purchase Programs on secondary markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 314-327.

  10. Michiel De Pooter & Patrice T. Robitaille & Ian Walker & Michael Zdinak, 2014. "Are Long-Term Inflation Expectations Well Anchored in Brazil, Chile and Mexico?," International Finance Discussion Papers 1098, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Michael Pedersen, 2020. "Surveying the survey: What can we learn about the effects of monetary policy on inflation expectations?," Working Papers Central Bank of Chile 889, Central Bank of Chile.
    2. Juan Angel Garcia & Sebastian Werner, 2018. "Inflation News and Euro Area Inflation Expectations," IMF Working Papers 2018/167, International Monetary Fund.
    3. Carlos Medel, 2018. "Econometric Analysis on Survey-data-based Anchoring of Inflation Expectations in Chile," Working Papers Central Bank of Chile 825, Central Bank of Chile.
    4. Speck, Christian, 2016. "Inflation Anchoring in the Euro Area," VfS Annual Conference 2016 (Augsburg): Demographic Change 145697, Verein für Socialpolitik / German Economic Association.
    5. Cem Cakmakli & Selva Demiralp, 2020. "A Dynamic Evaluation of Central Bank Credibility," Koç University-TUSIAD Economic Research Forum Working Papers 2015, Koc University-TUSIAD Economic Research Forum.
    6. Nunes, Clemens Vinicius & Doi, Jonas & Fernandes, Marcelo, 2017. "Disagreement in Inflation Forecasts and Inflation Risk Premia in Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 37(1), May.
    7. Kose,Ayhan & Matsuoka,Hideaki & Panizza,Ugo G. & Vorisek,Dana Lauren, 2019. "Inflation Expectations : Review and Evidence," Policy Research Working Paper Series 8785, The World Bank.
    8. Medeiros, Marcelo C & Vasconcelos, Gabriel & Freitas, Eduardo, 2016. "Forecasting Brazilian Inflation with High-Dimensional Models," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(2), November.
    9. Goran Petrevski, 2023. "Macroeconomic Effects of Inflation Targeting: A Survey of the Empirical Literature," Papers 2305.17474, arXiv.org.
    10. Speck, Christian, 2017. "Inflation anchoring in the euro area," Working Paper Series 1998, European Central Bank.
    11. Alberto Naudon & Joaquín Vial, 2016. "The evolution of inflation in Chile since 2000," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation mechanisms, expectations and monetary policy, volume 89, pages 93-116, Bank for International Settlements.
    12. Roberto Piazza, 2015. "Deflation expectations and Japan's lost decade," Questioni di Economia e Finanza (Occasional Papers) 274, Bank of Italy, Economic Research and International Relations Area.
    13. Ricardo Sousa & James Yetman, 2016. "Inflation expectations and monetary policy," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation mechanisms, expectations and monetary policy, volume 89, pages 41-67, Bank for International Settlements.
    14. Christopher F Baum & Alexander Kurov & Marketa W. Halova, 2013. "What do Chinese Macro Announcements Tell Us About the World Economy?," Boston College Working Papers in Economics 834, Boston College Department of Economics, revised 01 Jun 2015.
    15. Levin, Andrew T., 2014. "The design and communication of systematic monetary policy strategies," Journal of Economic Dynamics and Control, Elsevier, vol. 49(C), pages 52-69.
    16. Andrea Fracasso & Rocco Probo, 2016. "When did inflation expectations in the euro area de-anchor?," DEM Working Papers 2016/05, Department of Economics and Management.
    17. Christensen, Jens H.E. & Fischer, Eric & Shultz, Patrick J., 2021. "Bond flows and liquidity: Do foreigners matter?," Journal of International Money and Finance, Elsevier, vol. 117(C).
    18. Suh, Sangwon & Kim, Daehwan, 2021. "Inflation targeting and expectation anchoring: Evidence from developed and emerging market economies," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    19. Petrevski, Goran, 2023. "Macroeconomic Effects of Inflation Targeting: A Survey of the Empirical Literature," EconStor Preprints 271122, ZBW - Leibniz Information Centre for Economics.
    20. James Yetman, 2020. "Pass-through from short-horizon to long-horizon inflation expectations, and the anchoring of inflation expectations," BIS Working Papers 895, Bank for International Settlements.
    21. Mr. Jiaqian Chen & Mr. Tommaso Mancini-Griffoli & Ms. Ratna Sahay, 2014. "Spillovers from United States Monetary Policy on Emerging Markets: Different This Time?," IMF Working Papers 2014/240, International Monetary Fund.
    22. Speck, Christian, 2016. "Inflation anchoring in the euro area," Discussion Papers 04/2016, Deutsche Bundesbank.
    23. David Bowman & Juan M. Londono & Horacio Sapriza, 2014. "U.S. Unconventional Monetary Policy and Transmission to Emerging Market Economies," International Finance Discussion Papers 1109, Board of Governors of the Federal Reserve System (U.S.).
    24. Juan Camilo Galvis Ciro & Juan Camilo Anzoategui-Zapata, 2019. "Efectos de los anuncios de política monetaria y la credibilidad sobre las expectativas de inflación: evidencia para Colombia," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 38(67), pages 73-94, February.
    25. Eric Fischer, 2020. "Monetary Surprises and Global Financial Flows: A Case Study of Latin America," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 19(2), pages 189-225, August.
    26. Aaron Mehrotra & Jochen Schanz, 2020. "Financial market development and monetary policy," BIS Papers chapters, in: Bank for International Settlements (ed.), Financial market development, monetary policy and financial stability in emerging market economies, volume 113, pages 1-18, Bank for International Settlements.
    27. Helder Ferreira de Mendonça & Pedro Mendes Garcia & José Valentim Machado Vicente, 2021. "Rationality and anchoring of inflation expectations: An assessment from survey‐based and market‐based measures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 1027-1053, September.
    28. Samuel Carrasco & Luis Ceballos & Jessica Mena, 2016. "Estimación de la estructura de tasas de interés en Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 19(1), pages 58-75, April.
    29. Andrew Blake & Garreth Rule & Ole Rummel, 2015. "Inflation targeting and term premia estimates for Latin America," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 24(1), pages 1-21, December.
    30. Vereda, Luciano & Savignon, João & Gouveia da Silva, Tarciso, 2021. "A new method to assess the degree of information rigidity using fixed-event forecasts," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1576-1589.

  11. Michiel de Pooter & Francesco Ravazzolo & Dick van Dijk, 2010. "Term structure forecasting using macro factors and forecast combination," Working Paper 2010/01, Norges Bank.

    Cited by:

    1. Dick Dijk & Siem Jan Koopman & Michel Wel & Jonathan H. Wright, 2014. "Forecasting interest rates with shifting endpoints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 693-712, August.
    2. Elizondo Rocío, 2023. "The Three Intelligible Factors of the Yield Curve in Mexico," Working Papers 2023-13, Banco de México.
    3. Amendola, Alessandra & Braione, Manuela & Candila, Vincenzo & Storti, Giuseppe, 2020. "A Model Confidence Set approach to the combination of multivariate volatility forecasts," International Journal of Forecasting, Elsevier, vol. 36(3), pages 873-891.
    4. Andrea Fronzetti Colladon & Stefano Grassi & Francesco Ravazzolo & Francesco Violante, 2021. "Forecasting financial markets with semantic network analysis in the COVID—19 crisis," Working Papers 2021-06, Center for Research in Economics and Statistics.
    5. Andrea Monticini & Francesco Ravazzolo, 2014. "Forecasting the intraday market price of money," DISCE - Working Papers del Dipartimento di Economia e Finanza def010, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    6. Kučera, Adam, 2020. "Identification of triggers of U.S. yield curve movements," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    7. Fausto Vieira & Fernando Chague & Marcelo Fernandes, 2016. "Forecasting the Brazilian Yield Curve Using Forward-Looking Variables," Working Papers 799, Queen Mary University of London, School of Economics and Finance.
    8. Adam Kucera & Evzen Kocenda & Ales Marsal, 2022. "Yield Curve Dynamics and Fiscal Policy Shocks," Working Papers IES 2022/04, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2022.
    9. Elizondo Rocío, 2013. "Forecasting the Term Structure of Interest Rates in Mexico Using an Affine Model," Working Papers 2013-03, Banco de México.
    10. Wellmann, Dennis & Trück, Stefan, 2018. "Factors of the term structure of sovereign yield spreads," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 56-75.
    11. Fabricio Tourrucôo & João F. Caldeira & Guilherme V. Moura & André A. P. Santos, 2016. "Forecasting The Yield Curve With The Arbitrage-Free Dynamic Nelson-Siegel Model: Brazilian Evidence," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 028, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    12. Christian Kascha & Carsten Trenkler, 2011. "Cointegrated VARMA models and forecasting US interest rates," ECON - Working Papers 033, Department of Economics - University of Zurich.
    13. Rui Liu, 2019. "Forecasting Bond Risk Premia with Unspanned Macroeconomic Information," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-62, March.
    14. Caldeira, João F. & Moura, Guilherme V. & Santos, André A.P., 2016. "Predicting the yield curve using forecast combinations," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 79-98.
    15. Gordon H. Dash & Nina Kajiji & Domenic Vonella, 2018. "The role of supervised learning in the decision process to fair trade US municipal debt," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 139-168, June.
    16. Rui Chen & Jiri Svec & Maurice Peat, 2016. "Forecasting the Government Bond Term Structure in Australia," Australian Economic Papers, Wiley Blackwell, vol. 55(2), pages 99-111, June.
    17. Eran Raviv, 2013. "Prediction Bias Correction for Dynamic Term Structure Models," Tinbergen Institute Discussion Papers 13-041/III, Tinbergen Institute.
    18. Stuart, Rebecca, 2018. "A quarterly Phillips curve for Switzerland using interpolated data, 1963–2016," Economic Modelling, Elsevier, vol. 70(C), pages 78-86.
    19. Fernandes, Marcelo & Vieira, Fausto, 2019. "A dynamic Nelson–Siegel model with forward-looking macroeconomic factors for the yield curve in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.

  12. de Pooter, M.D. & Ravazzolo, F. & Segers, R. & van Dijk, H.K., 2008. "Bayesian near-boundary analysis in basic macroeconomic time series models," Econometric Institute Research Papers EI 2008-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Yu-Fan Huang & Sui Luo, 2018. "Potential output and inflation dynamics after the Great Recession," Empirical Economics, Springer, vol. 55(2), pages 495-517, September.
    2. Lennart Hoogerheide & Richard Kleijn & Francesco Ravazzolo & Herman K. Van Dijk & Marno Verbeek, 2010. "Forecast accuracy and economic gains from Bayesian model averaging using time-varying weights," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 251-269.
    3. Massimo Guidolin & Francesco Ravazzolo & Andrea Donato Tortora, 2011. "A Bayesian multi-factor model of instability in prices and quantities of risk in U.S. financial markets," Working Papers 2011-003, Federal Reserve Bank of St. Louis.
    4. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combination Schemes for Turning Point Predictions," Tinbergen Institute Discussion Papers 11-123/4, Tinbergen Institute.
    5. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    6. Arnold Zellner & Tomohiro Ando & Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2011. "Instrumental Variables, Errors in Variables, and Simultaneous Equations Models: Applicability and Limitations of Direct Monte Carlo," Tinbergen Institute Discussion Papers 11-137/4, Tinbergen Institute.
    7. Nalan Basturk & Pinar Ceyhan & Herman K. van Dijk, 2014. "Bayesian Forecasting of US Growth using Basic Time Varying Parameter Models and Expectations Data," Tinbergen Institute Discussion Papers 14-119/III, Tinbergen Institute, revised 14 Sep 2014.
    8. Arnold Zellner & Tomohiro Ando & Nalan Baştük & Lennart Hoogerheide & Herman K. van Dijk, 2014. "Bayesian Analysis of Instrumental Variable Models: Acceptance-Rejection within Direct Monte Carlo," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 3-35, June.
    9. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
    10. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2015. "Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section," Working Papers 550, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    11. Nalan Baştürk & Stefano Grassi & Lennart Hoogerheide & Herman K. Van Dijk, 2016. "Parallelization Experience with Four Canonical Econometric Models Using ParMitISEM," Econometrics, MDPI, vol. 4(1), pages 1-20, March.
    12. Nomen Nescio, 2013. "Nomen Nescio," Tinbergen Institute Discussion Papers 12-095 not issued, Tinbergen Institute.
    13. Luo, Sui & Startz, Richard, 2014. "Is it one break or ongoing permanent shocks that explains U.S. real GDP?," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 155-163.

  13. Michiel De Pooter, 2007. "Examining the Nelson-Siegel Class of Term Structure Models," Tinbergen Institute Discussion Papers 07-043/4, Tinbergen Institute.

    Cited by:

    1. Rafael Barros de Rezende, 2011. "Giving Flexibility to the Nelson-Siegel Class of Term Structure Models," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(1), pages 27-49.
    2. Borus Jungbacker & Siem Jan Koopman & Michel van der Wel, 2009. "Smooth Dynamic Factor Analysis with an Application to the U.S. Term Structure of Interest Rates," CREATES Research Papers 2009-39, Department of Economics and Business Economics, Aarhus University.
    3. Molenaars, Tomas K. & Reinerink, Nick H. & Hemminga, Marcus A., 2013. "Forecasting the yield curve - Forecast performance of the dynamic Nelson-Siegel model from 1971 to 2008," MPRA Paper 61862, University Library of Munich, Germany.
    4. Jens H. E. Christensen & Francis X. Diebold & Glenn D. Rudebusch, 2008. "An Arbitrage-Free Generalized Nelson-Siegel Term Structure Model," PIER Working Paper Archive 08-030, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    5. Dick Dijk & Siem Jan Koopman & Michel Wel & Jonathan H. Wright, 2014. "Forecasting interest rates with shifting endpoints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 693-712, August.
    6. Molenaars, Tomas K. & Reinerink, Nick H. & Hemminga, Marcus A., 2015. "Forecasting the yield curve: art or science?," MPRA Paper 61917, University Library of Munich, Germany.
    7. Gzyl, Henryk & Mayoral, Silvia, 2016. "Determination of zero-coupon and spot rates from treasury data by maximum entropy methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 38-50.
    8. Boutabba, Mohamed Amine & Rannou, Yves, 2022. "Investor strategies in the green bond market: The influence of liquidity risks, economic factors and clientele effects," International Review of Financial Analysis, Elsevier, vol. 81(C).
    9. Atsushi Inoue & Barbara Rossi, 2018. "The effects of conventional and unconventional monetary policy on exchange rates," Economics Working Papers 1639, Department of Economics and Business, Universitat Pompeu Fabra.
    10. Castro-Iragorri, C & Ramírez, J, 2021. "Forecasting Dynamic Term Structure Models with Autoencoders," Documentos de Trabajo 19431, Universidad del Rosario.
    11. Grochola, Nicolaus, 2023. "The influence of negative interest rates on life insurance companies," ICIR Working Paper Series 53/23, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    12. Siem Jan Koopman & Max I.P. Mallee & Michel van der Wel, 2007. "Analyzing the Term Structure of Interest Rates using the Dynamic Nelson-Siegel Model with Time-Varying Parameters," Tinbergen Institute Discussion Papers 07-095/4, Tinbergen Institute.
    13. Daniel Vela, 2013. "Forecasting Latin-American yield curves: An artificial neural network approach," Borradores de Economia 761, Banco de la Republica de Colombia.
    14. Vahidin Jeleskovic & Anastasios Demertzidis, 2018. "Comparing different methods for the estimation of interbank intraday yield curves," MAGKS Papers on Economics 201839, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    15. Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2019. "Decomposing global yield curve co-movement," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 500-513.
    16. Eric Gaus & Arunima Sinha, 2015. "Characterizing Investor Expectations for Assets with Varying Risk," Working Papers 15-01, Ursinus College, Department of Economics.
    17. João Caldeira & Guilherme Moura & André Santos, 2015. "Measuring Risk in Fixed Income Portfolios using Yield Curve Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 65-82, June.
    18. Ranik Raaen Wahlstrøm & Florentina Paraschiv & Michael Schürle, 2022. "A Comparative Analysis of Parsimonious Yield Curve Models with Focus on the Nelson-Siegel, Svensson and Bliss Versions," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 967-1004, March.
    19. Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2015. "Co-Movement, Spillovers and Excess Returns in Global Bond Markets," SIRE Discussion Papers 2015-75, Scottish Institute for Research in Economics (SIRE).
    20. Mohamed Amine Boutabba & Yves Rannou, 2020. "Investor strategies and Liquidity Premia in the European Green Bond market," Post-Print hal-02544451, HAL.
    21. Francisco Rivadeneyra, 2012. "The U.S.-Dollar Supranational Zero-Coupon Curve," Discussion Papers 12-5, Bank of Canada.
    22. Jacek Kotłowski & Michał Brzoza-Brzezina, 2012. "Measuring the Natural Yield Curve," EcoMod2012 4197, EcoMod.
    23. Asif Lakhany & Andrej Pintar & Amber Zhang, 2021. "Calibrating the Nelson-Siegel-Svensson Model by Genetic Algorithm," Papers 2108.01760, arXiv.org.
    24. Siem Jan Koopman & Michel van der Wel, 2011. "Forecasting the U.S. Term Structure of Interest Rates using a Macroeconomic Smooth Dynamic Factor Model," Tinbergen Institute Discussion Papers 11-063/4, Tinbergen Institute.
    25. Gaus, Eric & Sinha, Arunima, 2018. "What does the yield curve imply about investor expectations?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 248-265.
    26. Driessen, Joost & Nijman, Theodore E. & Simon, Zorka, 2022. "A simple approach to estimate long-term interest rates," SAFE Working Paper Series 238, Leibniz Institute for Financial Research SAFE, revised 2022.
    27. Caio Almeida & Axel Simonsen & José Valentim Vicente, 2012. "Forecasting Bond Yields with Segmented Term Structure Models," Working Papers Series 288, Central Bank of Brazil, Research Department.
    28. Eder, Armin & Keiler, Sebastian & Pichl, Hannes, 2013. "Interest rate risk and the Swiss solvency test," Discussion Papers 41/2013, Deutsche Bundesbank.
    29. Choi, Ahjin & Kang, Kyu Ho, 2023. "Modeling the time-varying dynamic term structure of interest rates," Journal of Banking & Finance, Elsevier, vol. 153(C).
    30. Kang, Kyu Ho, 2015. "The predictive density simulation of the yield curve with a zero lower bound," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 51-66.
    31. Daniel Vela, 2013. "Forecasting Latin-American yield curves: An artificial neural network approach," Borradores de Economia 10502, Banco de la Republica.
    32. Luciano Vereda & Hélio Lopes & Jessica Kubrusly & Adrian Pizzinga & Taofik Mohammed Ibrahim, 2014. "Yield Curve Forecasts and the Predictive Power of Macro Variables in a VAR Framework," Journal of Reviews on Global Economics, Lifescience Global, vol. 3, pages 377-393.
    33. Borus Jungbacker & Siem Jan Koopman & Michel van der Wel, 0000. "Dynamic Factor Models with Smooth Loadings for Analyzing the Term Structure of Interest Rates," Tinbergen Institute Discussion Papers 09-041/4, Tinbergen Institute, revised 17 Sep 2010.
    34. Wali Ullah & Yasumasa Matsuda, 2012. "Term Structure Modeling and Forecasting of Government Bond Yields : Does Macroeconomic Factors Imply Better Out-of-Sample Forecasts?," TERG Discussion Papers 304, Graduate School of Economics and Management, Tohoku University.
    35. Bekker, Paul A., 2017. "Interpretable Parsimonious Arbitrage-free Modeling of the Yield Curve," Research Report 17009-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    36. Faria, Adriano & Almeida, Caio, 2018. "A hybrid spline-based parametric model for the yield curve," Journal of Economic Dynamics and Control, Elsevier, vol. 86(C), pages 72-94.
    37. Gordon H. Dash & Nina Kajiji & Domenic Vonella, 2018. "The role of supervised learning in the decision process to fair trade US municipal debt," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 139-168, June.
    38. Rui Chen & Jiri Svec & Maurice Peat, 2016. "Forecasting the Government Bond Term Structure in Australia," Australian Economic Papers, Wiley Blackwell, vol. 55(2), pages 99-111, June.
    39. International Monetary Fund, 2010. "On the Estimation of Term Structure Models and An Application to the United States," IMF Working Papers 2010/258, International Monetary Fund.
    40. Almeida, Caio & Gomes, Romeu & Leite, André & Vicente, José, 2008. "Movimentos da Estrutura a Termo e Critérios de Minimização do Erro de Previsão em um Modelo Paramétrico Exponencial," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 62(4), December.
    41. Lucélia Vaz & Rodrigo Raad, 2021. "Functional data analysis for brazilian term structure of interest rate," Textos para Discussão Cedeplar-UFMG 638, Cedeplar, Universidade Federal de Minas Gerais.
    42. Gabriela Galati & Steven Poelhekke & Chen Zhou, 2011. "Did the Crisis Affect Inflation Expectations?," International Journal of Central Banking, International Journal of Central Banking, vol. 7(1), pages 167-207, March.
    43. Cem Çakmakli, 2012. "Bayesian Semiparametric Dynamic Nelson-Siegel Model," Working Paper series 59_12, Rimini Centre for Economic Analysis, revised Sep 2012.
    44. Hiroyuki Kawakatsu, 2020. "Recovering Yield Curves from Dynamic Term Structure Models with Time-Varying Factors," Stats, MDPI, vol. 3(3), pages 1-46, August.
    45. Wali ULLAH & Khadija Malik BARI, 2018. "The Term Structure of Government Bond Yields in an Emerging Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-28, September.
    46. Wali Ullah & Yasumasa Matsuda & Yoshihiko Tsukuda, 2013. "Term Structure Modeling and Forecasting of Government Bond Yields," Economic Papers, The Economic Society of Australia, vol. 32(4), pages 535-560, December.

  14. De Pooter, Michiel & Ravazzolo, Francesco & van Dijk, Dick, 2006. "Predicting the term structure of interest rates incorporating parameter uncertainty, model uncertainty and macroeconomic information," MPRA Paper 2512, University Library of Munich, Germany, revised 03 Mar 2007.

    Cited by:

    1. Coroneo, Laura & Nyholm, Ken & Vidova-Koleva, Rositsa, 2008. "How arbitrage-free is the Nelson-Siegel Model?," Working Paper Series 874, European Central Bank.
    2. Dauwe, Alexander & Moura, Marcelo L., 2011. "Forecasting the term structure of the Euro Market using Principal Component Analysis," Insper Working Papers wpe_233, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    3. Clive G. Bowsher & Roland Meeks, 2008. "The dynamics of economics functions: modelling and forecasting the yield curve," Working Papers 0804, Federal Reserve Bank of Dallas.
    4. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2012. "Forecasting government bond yields with large Bayesian vector autoregressions," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2026-2047.
    5. Guriev, Sergei & Durnev, Art, 2007. "The Resource Curse: A Corporate Transparency Channel," CEPR Discussion Papers 6547, C.E.P.R. Discussion Papers.
    6. Jens H. E. Christensen & Francis X. Diebold & Glenn D. Rudebusch, 2007. "The Affine Arbitrage-Free Class of Nelson-Siegel Term Structure Models," PIER Working Paper Archive 07-029, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    7. Peter Exterkate & Dick Van Dijk & Christiaan Heij & Patrick J. F. Groenen, 2013. "Forecasting the Yield Curve in a Data‐Rich Environment Using the Factor‐Augmented Nelson–Siegel Model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(3), pages 193-214, April.
    8. Diana Zigraiova & Petr Jakubik, 2017. "Updating the Ultimate Forward Rate over Time: A Possible Approach," Working Papers 2017/03, Czech National Bank.
    9. Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2010. "Forecasting Government Bond Yields with Large Bayesian VARs," Working Papers 662, Queen Mary University of London, School of Economics and Finance.
    10. David Bolder & Yuliya Romanyuk, 2008. "Combining Canadian Interest-Rate Forecasts," Staff Working Papers 08-34, Bank of Canada.
    11. Penikas, Henry, 2008. "Forecasting for the Bank's Asset-Liability Management," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 12(4), pages 3-26.
    12. Stephen Hall & Kavita Sirichand, 2010. "Decision-Based Forecast Evaluation of UK Interest Rate Predictability," Discussion Papers in Economics 10/09, Division of Economics, School of Business, University of Leicester.
    13. Goodarzi, Milad & Meinerding, Christoph, 2023. "Asset allocation with recursive parameter updating and macroeconomic regime identifiers," Discussion Papers 06/2023, Deutsche Bundesbank.
    14. Penikas, Henry & Simakova, Varvara, 2009. "Interest Rate Risk Management Based on Copula-GARCH Models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 13(1), pages 3-36.
    15. Michiel De Pooter, 2007. "Examining the Nelson-Siegel Class of Term Structure Models," Tinbergen Institute Discussion Papers 07-043/4, Tinbergen Institute.
    16. Fernandes, Marcelo & Vieira, Fausto, 2019. "A dynamic Nelson–Siegel model with forward-looking macroeconomic factors for the yield curve in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.

  15. de Pooter, M.D. & Segers, R. & van Dijk, H.K., 2006. "Gibbs sampling in econometric practice," Econometric Institute Research Papers EI 2006-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Michiel D. de Pooter & René Segers & Herman K. van Dijk, 2006. "On the Practice of Bayesian Inference in Basic Economic Time Series Models using Gibbs Sampling," Tinbergen Institute Discussion Papers 06-076/4, Tinbergen Institute.
    2. Jakob R. Munch & Daniel X., 2008. "Decomposing Firm-level Sales Variation," EPRU Working Paper Series 2009-05, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics, revised Jun 2009.
    3. de Pooter, M.D. & Ravazzolo, F. & Segers, R. & van Dijk, H.K., 2008. "Bayesian near-boundary analysis in basic macroeconomic time series models," Econometric Institute Research Papers EI 2008-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  16. Michiel D. de Pooter & René Segers & Herman K. van Dijk, 2006. "On the Practice of Bayesian Inference in Basic Economic Time Series Models using Gibbs Sampling," Tinbergen Institute Discussion Papers 06-076/4, Tinbergen Institute.

    Cited by:

    1. Bernardi Mauro & Della Corte Giuseppe & Proietti Tommaso, 2011. "Extracting the Cyclical Component in Hours Worked," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(3), pages 1-28, May.

  17. Michiel de Pooter & Martin Martens & Dick van Dijk, 2005. "Predicting the Daily Covariance Matrix for S&P 100 Stocks using Intraday Data - But which Frequency to use?," Tinbergen Institute Discussion Papers 05-089/4, Tinbergen Institute, revised 03 Jan 2006.

    Cited by:

    1. Audrino, Francesco & Fengler, Matthias, 2013. "Are classical option pricing models consistent with observed option second-order moments? Evidence from high-frequency data," Economics Working Paper Series 1311, University of St. Gallen, School of Economics and Political Science.
    2. Santos, André A.P. & Nogales, Francisco J. & Ruiz, Esther & Dijk, Dick Van, 2012. "Optimal portfolios with minimum capital requirements," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1928-1942.
    3. Tim Bollerslev & Andrew J. Patton & Rogier Quaedvlieg, 2016. "Modeling and Forecasting (Un)Reliable Realized Covariances for More Reliable Financial Decisions," CREATES Research Papers 2016-10, Department of Economics and Business Economics, Aarhus University.
    4. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 247-285.
    5. Gianluca Cubadda & Alain Hecq, 2022. "Dimension Reduction for High Dimensional Vector Autoregressive Models," CEIS Research Paper 534, Tor Vergata University, CEIS, revised 24 Mar 2022.
    6. Bonato, Mateo & Caporin, Massimiliano & Ranaldo, Angelo, 2012. "Risk Spillovers in International Equity Portfolios," Working Papers on Finance 1214, University of St. Gallen, School of Finance.
    7. Lucey, Brian & Sevic, Aleksandar, 2010. "Investigating the determinants of banking coexceedances in Europe in the summer of 2008," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(3), pages 275-283, July.
    8. Bucci, Andrea, 2019. "Realized Volatility Forecasting with Neural Networks," MPRA Paper 95443, University Library of Munich, Germany.
    9. Walid Bakry & Audil Rashid & Somar Al-Mohamad & Nasser El-Kanj, 2021. "Bitcoin and Portfolio Diversification: A Portfolio Optimization Approach," JRFM, MDPI, vol. 14(7), pages 1-24, June.
    10. LAURENT, Sébastien & ROMBOUTS, Jeroen V. K. & VIOLANTE, Francesco, 2010. "On the forecasting accuracy of multivariate GARCH models," LIDAM Discussion Papers CORE 2010025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Abderrazak Ben Maatoug & Rim Lamouchi & Russell Davidson & Ibrahim Fatnassi, 2018. "Modelling Foreign Exchange Realized Volatility Using High Frequency Data: Long Memory versus Structural Breaks," Post-Print hal-01982032, HAL.
    12. Gael M. Martin & Andrew Reidy & Jill Wright, 2009. "Does the option market produce superior forecasts of noise-corrected volatility measures?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 77-104.
    13. Vortelinos, Dimitrios I., 2013. "Portfolio analysis of intraday covariance matrix in the Greek equity market," Research in International Business and Finance, Elsevier, vol. 27(1), pages 66-79.
    14. Zhu, Haibin & Bai, Lu & He, Lidan & Liu, Zhi, 2023. "Forecasting realized volatility with machine learning: Panel data perspective," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 251-271.
    15. Vincenzo Candila, 2013. "A Comparison of the Forecasting Performances of Multivariate Volatility Models," Working Papers 3_228, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno.
    16. Ole E. Barndorff-Nielsen & Peter Reinhard Hansen & Asger Lunde & Neil Shephard, 2009. "Multivariate Realised Kernels: Consistent Positive Semi-Definite Estimators of the Covariation of Equity Prices with Noise and Non-Synchronous Trading," Global COE Hi-Stat Discussion Paper Series gd08-037, Institute of Economic Research, Hitotsubashi University.
    17. Vander Elst, Harry & Veredas, David, 2014. "Disentangled jump-robust realized covariances and correlations with non-synchronous prices," DES - Working Papers. Statistics and Econometrics. WS ws142416, Universidad Carlos III de Madrid. Departamento de Estadística.
    18. Çakmaklı, Cem & van Dijk, Dick, 2016. "Getting the most out of macroeconomic information for predicting excess stock returns," International Journal of Forecasting, Elsevier, vol. 32(3), pages 650-668.
    19. Michael McAleer & Marcelo Medeiros, 2008. "Realized Volatility: A Review," Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 10-45.
    20. Yu‐Lun Chen & Yin‐Feng Gau, 2022. "The information effect of order flows in foreign currency futures and spot markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(8), pages 1549-1572, August.
    21. Oguzhan Cepni & Rangan Gupta & I. Ethem Guney & M. Hasan Yilmaz, 2019. "Forecasting Local Currency Bond Risk Premia of Emerging Markets: The Role of Cross-Country Macro-Financial Linkages," Working Papers 201957, University of Pretoria, Department of Economics.
    22. Tim Bollerslev & Morten Ø. Nielsen & Per Houmann Frederiksen & Torben G. Andersen, 2008. "Continuous-time Models, Realized Volatilities, And Testable Distributional Implications For Daily Stock Returns," Working Paper 1173, Economics Department, Queen's University.
    23. Santos, André Alves Portela & Ferreira, Alexandre R., 2017. "On the choice of covariance specifications for portfolio selection problems," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 37(1), May.
    24. Qianqiu Liu, 2009. "On portfolio optimization: How and when do we benefit from high-frequency data?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 560-582.
    25. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je, 2020. "Volatility forecasting using related markets’ information for the Tokyo stock exchange," Economic Modelling, Elsevier, vol. 90(C), pages 143-158.
    26. Nikolaus Hautsch & Lada M. Kyj & Peter Malec, 2015. "Do High‐Frequency Data Improve High‐Dimensional Portfolio Allocations?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 263-290, March.
    27. Maria Elvira Mancino & Simona Sanfelici, 2011. "Covariance Estimation and Dynamic Asset-Allocation under Microstructure Effects via Fourier Methodology," Palgrave Macmillan Books, in: Greg N. Gregoriou & Razvan Pascalau (ed.), Financial Econometrics Modeling: Market Microstructure, Factor Models and Financial Risk Measures, chapter 1, pages 3-32, Palgrave Macmillan.
    28. Bonato, Matteo & Caporin, Massimiliano & Ranaldo, Angelo, 2012. "Forecasting Realized (Co)Variances with a Bloc Structure Wishart Autoregressive Model," Working Papers on Finance 1211, University of St. Gallen, School of Finance.
    29. Marius Matei & Xari Rovira & Núria Agell, 2019. "Bivariate Volatility Modeling with High-Frequency Data," Econometrics, MDPI, vol. 7(3), pages 1-15, September.
    30. Chan, Kam Fong & Powell, John G. & Treepongkaruna, Sirimon, 2014. "Currency jumps and crises: Do developed and emerging market currencies jump together?," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 132-157.
    31. Bandi, Federico M. & Russell, Jeffrey R. & Yang, Chen, 2008. "Realized volatility forecasting and option pricing," Journal of Econometrics, Elsevier, vol. 147(1), pages 34-46, November.
    32. Cem Cakmakli & Dick van Dijk, 2010. "Getting the Most out of Macroeconomic Information for Predicting Stock Returns and Volatility," Tinbergen Institute Discussion Papers 10-115/4, Tinbergen Institute.
    33. Qu, Hui & Zhang, Yi, 2022. "Asymmetric multivariate HAR models for realized covariance matrix: A study based on volatility timing strategies," Economic Modelling, Elsevier, vol. 106(C).
    34. Ostap Okhrin & Anastasija Tetereva, 2017. "The Realized Hierarchical Archimedean Copula in Risk Modelling," Econometrics, MDPI, vol. 5(2), pages 1-31, June.
    35. Andrea BUCCI, 2017. "Forecasting Realized Volatility A Review," Journal of Advanced Studies in Finance, ASERS Publishing, vol. 8(2), pages 94-138.
    36. Sanfelici Simona & Uboldi Adamo, 2014. "Assessing the quality of volatility estimators via option pricing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(2), pages 1-22, April.
    37. Ciciretti, Vito & Bucci, Andrea, 2023. "Building optimal regime-switching portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    38. Jurkatis, Simon, 2020. "Inferring trade directions in fast markets," Bank of England working papers 896, Bank of England.
    39. Jurkatis, Simon, 2022. "Inferring trade directions in fast markets," Journal of Financial Markets, Elsevier, vol. 58(C).
    40. Vortelinos, Dimitrios I., 2015. "The Greek equity market in European equity portfolios," Economic Modelling, Elsevier, vol. 49(C), pages 144-153.
    41. Boudt, Kris & Cornelissen, Jonathan & Croux, Christophe, 2012. "Jump robust daily covariance estimation by disentangling variance and correlation components," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 2993-3005.
    42. Nikolaus Hautsch & Lada M. Kyj & Peter Malec, 2011. "The Merit of High-Frequency Data in Portfolio Allocation," SFB 649 Discussion Papers SFB649DP2011-059, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    43. Sharma, Prateek & Vipul,, 2015. "Performance of risk-based portfolios under different market conditions: Evidence from India," Research in International Business and Finance, Elsevier, vol. 34(C), pages 397-411.
    44. Ahoniemi, Katja & Lanne, Markku, 2013. "Overnight stock returns and realized volatility," International Journal of Forecasting, Elsevier, vol. 29(4), pages 592-604.
    45. Wang, Jiazhen & Jiang, Yuexiang & Zhu, Yanjian & Yu, Jing, 2020. "Prediction of volatility based on realized-GARCH-kernel-type models: Evidence from China and the U.S," Economic Modelling, Elsevier, vol. 91(C), pages 428-444.
    46. Haugom, Erik & Lien, Gudbrand & Veka, Steinar & Westgaard, Sjur, 2014. "Covariance estimation using high-frequency data: Sensitivities of estimation methods," Economic Modelling, Elsevier, vol. 43(C), pages 416-425.
    47. Kalotychou, Elena & Staikouras, Sotiris K. & Zhao, Gang, 2014. "The role of correlation dynamics in sector allocation," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 1-12.

  18. de Pooter, M.D. & van Dijk, D.J.C., 2004. "Testing for changes in volatility in heteroskedastic time series - a further examination," Econometric Institute Research Papers EI 2004-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Vasiliki Chatzikonstanti, 2017. "Breaks and outliers when modelling the volatility of the U.S. stock market," Applied Economics, Taylor & Francis Journals, vol. 49(46), pages 4704-4717, October.
    2. Cho, Haeran & Korkas, Karolos K., 2022. "High-dimensional GARCH process segmentation with an application to Value-at-Risk," Econometrics and Statistics, Elsevier, vol. 23(C), pages 187-203.
    3. Gebka, Bartosz & Wohar, Mark E., 2013. "Causality between trading volume and returns: Evidence from quantile regressions," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 144-159.
    4. Dahiru A. Balaa & Taro Takimotob, 2017. "Stock markets volatility spillovers during financial crises: A DCC-MGARCH with skewed-t density approach," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(1), pages 25-48, March.
    5. Barassi, Marco & Horvath, Lajos & Zhao, Yuqian, 2018. "Change Point Detection in the Conditional Correlation Structure of Multivariate Volatility Models," MPRA Paper 87837, University Library of Munich, Germany.
    6. Ali Babikir & Rangan Gupta & Chance Mwabutwa & Emmanuel Owusu-Sekyere, 2010. "Structural Breaks and GARCH Models of Stock Return Volatility: The Case of South Africa," Working Papers 201030, University of Pretoria, Department of Economics.
    7. Xu, Ke-Li & Phillips, Peter C.B., 2008. "Adaptive estimation of autoregressive models with time-varying variances," Journal of Econometrics, Elsevier, vol. 142(1), pages 265-280, January.
    8. Bala A. Dahiru & Pam W. Jim & Kalu N. Nwonyuku, 2017. "Equity markets volatility dynamics in developed and newly emerging economies: EGARCH-with-skewed-t density approach," Economics Bulletin, AccessEcon, vol. 37(4), pages 2394-2412.
    9. Efe Çağlar Çağli & Pinar Evrim Mandaci & Pinar Hakan Kahyaoğlu, 2011. "Volatility Shifts and Persistence in Variance: Evidence from the Sector Indices of Istanbul Stock Exchange," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 4(3), pages 119-140, December.
    10. F. Dilvin Taşkin & Efe Çağlar Çağlı & Umut Halaç, 2016. "The impact of oil price shocks on the volatility of the Turkish stock market," International Journal of Accounting and Finance, Inderscience Enterprises Ltd, vol. 6(1), pages 1-23.
    11. Taewook Lee & Moosup Kim & Changryong Baek, 2015. "Tests for Volatility Shifts in Garch Against Long-Range Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(2), pages 127-153, March.
    12. Haejune Oh & Sangyeol Lee, 2019. "Modified residual CUSUM test for location-scale time series models with heteroscedasticity," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 71(5), pages 1059-1091, October.
    13. Hammoudeh, Shawkat & Nguyen, Duc Khuong & Reboredo, Juan Carlos & Wen, Xiaoqian, 2014. "Dependence of stock and commodity futures markets in China: Implications for portfolio investment," Emerging Markets Review, Elsevier, vol. 21(C), pages 183-200.
    14. Mofleh Alshogeathri & Jamel Jouini, 2017. "Linkages Between Equity and Global Food Markets: New Evidence from Including Structural Changes," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(3), pages 166-198, June.
    15. Vivian, Andrew & Wohar, Mark E., 2012. "Commodity volatility breaks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 395-422.
    16. Badagian Baharian, Ana Laura & Kaiser Remiro, Regina & Peña, Daniel, 2013. "The change-point problem and segmentation of processes with conditional heteroskedasticity," DES - Working Papers. Statistics and Econometrics. WS ws131718, Universidad Carlos III de Madrid. Departamento de Estadística.

  19. Martin Martens & Dick van Dijk & Michiel de Pooter, 2004. "Modeling and Forecasting S&P 500 Volatility: Long Memory, Structural Breaks and Nonlinearity," Tinbergen Institute Discussion Papers 04-067/4, Tinbergen Institute.

    Cited by:

    1. S. Bordignon & D. Raggi, 2010. "Long memory and nonlinearities in realized volatility: a Markov switching approach," Working Papers 694, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Tim Bollerslev & Uta Kretschmer & Christian Pigorsch & George Tauchen, 2010. "A Discrete-Time Model for Daily S&P500 Returns and Realized Variations: Jumps and Leverage Effects," Working Papers 10-06, Duke University, Department of Economics.
    3. Mihaela Craioveanu & Eric Hillebrand, 2012. "Why It Is Ok To Use The Har-Rv(1,5,21) Model," Working Papers 1201, University of Central Missouri, Department of Economics & Finance, revised Aug 2012.
    4. Hooper, Vincent J. & Ng, Kevin & Reeves, Jonathan J., 2008. "Quarterly beta forecasting: An evaluation," International Journal of Forecasting, Elsevier, vol. 24(3), pages 480-489.
    5. Guglielmo Maria Caporale & Luis A. Gil-Alana & Carlos Poza, 2021. "The Covid-19 Pandemic and the Degree of Persistence of US Stock Prices and Bond Yields," CESifo Working Paper Series 8976, CESifo.
    6. Xu, Jiawen & Perron, Pierre, 2014. "Forecasting return volatility: Level shifts with varying jump probability and mean reversion," International Journal of Forecasting, Elsevier, vol. 30(3), pages 449-463.
    7. Shi, Yanlin & Ho, Kin-Yip, 2015. "Modeling high-frequency volatility with three-state FIGARCH models," Economic Modelling, Elsevier, vol. 51(C), pages 473-483.
    8. Adnen Ben Nasr & Ahdi N. Ajmi & Rangan Gupta, 2013. "Modeling the Volatility of the Dow Jones Islamic Market World Index Using a Fractionally Integrated Time Varying GARCH (FITVGARCH) Model," Working Papers 201357, University of Pretoria, Department of Economics.
    9. David E. Allen & Michael McAleer & Marcel Scharth, 2010. "Realized Volatility Risk," KIER Working Papers 753, Kyoto University, Institute of Economic Research.
    10. Di Sanzo, Silvestro, 2018. "A Markov switching long memory model of crude oil price return volatility," Energy Economics, Elsevier, vol. 74(C), pages 351-359.
    11. Borusyak, K., 2011. "Nonlinear Dynamics of the Russian Stock Market in Problems of Risk Management," Journal of the New Economic Association, New Economic Association, issue 11, pages 85-105.
    12. David E. Allen & Michael McAleer & Marcel Scharth, 2014. "Asymmetric Realized Volatility Risk," Tinbergen Institute Discussion Papers 14-075/III, Tinbergen Institute.
    13. John M Maheu & Thomas H McCurdy, 2008. "Do high-frequency measures of volatility improve forecasts of return distributions?," Working Papers tecipa-324, University of Toronto, Department of Economics.
    14. Yanlin Shi & Yang Yang, 2018. "Modeling High Frequency Data with Long Memory and Structural Change: A-HYEGARCH Model," Risks, MDPI, vol. 6(2), pages 1-28, March.
    15. Torben G. Andersen & Tim Bollerslev & Xin Huang, 2007. "A Reduced Form Framework for Modeling Volatility of Speculative Prices based on Realized Variation Measures," CREATES Research Papers 2007-14, Department of Economics and Business Economics, Aarhus University.
    16. Richard T. Baillie & Claudio Morana, 2014. "Modeling Long Memory and Structural Breaks in Conditional Variances: An Adaptive FIGARCH Approach," Working Papers 593, Queen Mary University of London, School of Economics and Finance.
    17. Marcelo C. Carvalho & Marco Aurélio S. Freire & Marcelo Cunha Medeiros & Leonardo R. Souza, 2006. "Modeling and Forecasting the Volatility of Brazilian Asset Returns: a Realized Variance Approach," Brazilian Review of Finance, Brazilian Society of Finance, vol. 4(1), pages 55-77.
    18. MArcelo Carvalho & MArco Aurelio Freire & Marcelo Cunha Medeiros & Leonardo Souza, 2006. "Modeling and forecasting the volatility of Brazilian asset returns," Textos para discussão 530, Department of Economics PUC-Rio (Brazil).
    19. Bucci, Andrea, 2019. "Cholesky-ANN models for predicting multivariate realized volatility," MPRA Paper 95137, University Library of Munich, Germany.
    20. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
    21. Aloui, Chaker & Hamida, Hela ben, 2014. "Modelling and forecasting value at risk and expected shortfall for GCC stock markets: Do long memory, structural breaks, asymmetry, and fat-tails matter?," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 349-380.
    22. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2007. "Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 701-720, November.
    23. Michiel de Pooter & Martin Martens & Dick van Dijk, 2008. "Predicting the Daily Covariance Matrix for S&P 100 Stocks Using Intraday Data—But Which Frequency to Use?," Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 199-229.
    24. Offer Lieberman & Peter Phillips, 2008. "Refined Inference on Long Memory in Realized Volatility," Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 254-267.
    25. Andrea Bucci & Giulio Palomba & Eduardo Rossi, 2019. "Does macroeconomics help in predicting stock markets volatility comovements? A nonlinear approach," Working Papers 440, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    26. Michael McAleer & Marcelo Medeiros, 2008. "Realized Volatility: A Review," Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 10-45.
    27. Belkhouja, Mustapha & Boutahary, Mohamed, 2011. "Modeling volatility with time-varying FIGARCH models," Economic Modelling, Elsevier, vol. 28(3), pages 1106-1116, May.
    28. Marcel Scharth & Marcelo Cunha Medeiros, 2006. "Asymmetric effects and long memory in the volatility of Dow Jones stocks," Textos para discussão 532, Department of Economics PUC-Rio (Brazil).
    29. Chun Liu & John M. Maheu, 2009. "Forecasting realized volatility: a Bayesian model-averaging approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 709-733.
    30. Adnen Ben Nasr & Mohamed Boutahar & Abdelwahed Trabelsi, 2010. "Fractionally integrated time varying GARCH model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(3), pages 399-430, August.
    31. Nasr, Adnen Ben & Lux, Thomas & Ajm, Ahdi Noomen & Gupta, Rangan, 2014. "Forecasting the volatility of the dow jones islamic stock market index: Long memory vs. regime switching," Economics Working Papers 2014-07, Christian-Albrechts-University of Kiel, Department of Economics.
    32. Corsi, Fulvio & Kretschmer, Uta & Mittnik, Stefan & Pigorsch, Christian, 2005. "The volatility of realized volatility," CFS Working Paper Series 2005/33, Center for Financial Studies (CFS).
    33. Gabriel Rodríguez, 2015. "Modeling Latin-American Stock Markets Volatility: Varying Probabilities and Mean Reversion in a Random Level Shifts Model," Documentos de Trabajo / Working Papers 2015-403, Departamento de Economía - Pontificia Universidad Católica del Perú.
    34. Chun Liu & John M. Maheu, 2008. "Are There Structural Breaks in Realized Volatility?," Journal of Financial Econometrics, Oxford University Press, vol. 6(3), pages 326-360, Summer.
    35. Gabriel Rodríguez, 2016. "Modeling Latin-American Stock and Forex Markets Volatility: Empirical Application of a Model with Random Level Shifts and Genuine Long Memory [Modelando la volatilidad de los mercados bursátiles y cam," Documentos de Trabajo / Working Papers 2016-416, Departamento de Economía - Pontificia Universidad Católica del Perú.
    36. Allen, David E. & McAleer, Michael & Scharth, Marcel, 2011. "Monte Carlo option pricing with asymmetric realized volatility dynamics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1247-1256.
    37. Andrea BUCCI, 2017. "Forecasting Realized Volatility A Review," Journal of Advanced Studies in Finance, ASERS Publishing, vol. 8(2), pages 94-138.
    38. Claudio Morana, 2007. "On the macroeconomic causes of exchange rates volatility," ICER Working Papers 8-2007, ICER - International Centre for Economic Research.
    39. Maurício Yoshinori Une & Marcelo Savino Portugal, 2005. "Can fear beat hope? A story of GARCH-in-Mean-Level effects for Emerging Market Country Risks," Econometrics 0509006, University Library of Munich, Germany.
    40. Eric Hillebrand & Marcelo Medeiros, 2010. "The Benefits of Bagging for Forecast Models of Realized Volatility," Econometric Reviews, Taylor & Francis Journals, vol. 29(5-6), pages 571-593.
    41. Adnan Kasman & Erdost Torun, 2007. "Long Memory in the Turkish Stock Market Return and Volatility," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 7(2), pages 13-27.
    42. Matei, Marius, 2011. "Non-Linear Volatility Modeling of Economic and Financial Time Series Using High Frequency Data," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 116-141, June.
    43. Gabriel Rodríguez & José Carlos Gonzáles Tanaka, 2016. "An Empirical Application of a Random Level Shifts Model with Time-Varying Probability and Mean Reversion to the Volatility of Latin-American Forex Markets Returns [Una aplicación empírica de un modelo," Documentos de Trabajo / Working Papers 2016-415, Departamento de Economía - Pontificia Universidad Católica del Perú.
    44. Trunin, Pavel (Трунин, Павел), 2015. "Analysis of the Level of Development of the Financial System in the Russian Federation [Анализ Уровня Развития Финансовой Системы В Российской Федерации]," Published Papers mn38, Russian Presidential Academy of National Economy and Public Administration.
    45. Kasman, Adnan & Kasman, Saadet & Torun, Erdost, 2009. "Dual long memory property in returns and volatility: Evidence from the CEE countries' stock markets," Emerging Markets Review, Elsevier, vol. 10(2), pages 122-139, June.
    46. Claudio Morana, 2007. "Estimating, Filtering and Forecasting Realized Betas," ICER Working Papers - Applied Mathematics Series 6-2007, ICER - International Centre for Economic Research.

Articles

  1. De Pooter, Michiel & Martin, Robert F. & Pruitt, Seth, 2018. "The Liquidity Effects of Official Bond Market Intervention," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(1), pages 243-268, February.
    See citations under working paper version above.
  2. Michiel De Pooter & Patrice Robitaille & Ian Walker & Michael Zdinak, 2014. "Are Long-Term Inflation Expectations Well Anchored in Brazil, Chile, and Mexico?," International Journal of Central Banking, International Journal of Central Banking, vol. 10(2), pages 337-400, June.
    See citations under working paper version above.
  3. Perepelkin, Mihail & Knapp, Sabine & Perepelkin, German & de Pooter, Michiel, 2010. "An improved methodology to measure flag performance for the shipping industry," Marine Policy, Elsevier, vol. 34(3), pages 395-405, May.

    Cited by:

    1. Emre Akyuz & Hristos Karahalios & Metin Celik, 2015. "Assessment of the maritime labour convention compliance using balanced scorecard and analytic hierarchy process approach," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(2), pages 145-162, February.
    2. Cariou, Pierre & Wolff, Francois-Charles, 2015. "Identifying substandard vessels through Port State Control inspections: A new methodology for Concentrated Inspection Campaigns," Marine Policy, Elsevier, vol. 60(C), pages 27-39.
    3. Ji, X. & Brinkhuis, J. & Knapp, S., 2014. "A method to measure enforcement effort in shipping with incomplete information," Econometric Institute Research Papers EI 2014-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Knapp, S. & Heij, C., 2019. "Improved strategies for the maritime industry to target vessels for inspection and to select inspection priority areas," Econometric Institute Research Papers EI2019-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Ji, Xichen & Brinkhuis, Jan & Knapp, Sabine, 2015. "A method to measure enforcement effort in shipping with incomplete information," Marine Policy, Elsevier, vol. 60(C), pages 162-170.
    6. Heij, C. & Knapp, S., 2018. "Shipping Inspections, Detentions, and Accidents: An Empirical Analysis of Risk Dimensions," Econometric Institute Research Papers 2018-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  4. Martens, Martin & van Dijk, Dick & de Pooter, Michiel, 2009. "Forecasting S&P 500 volatility: Long memory, level shifts, leverage effects, day-of-the-week seasonality, and macroeconomic announcements," International Journal of Forecasting, Elsevier, vol. 25(2), pages 282-303.

    Cited by:

    1. Manabu Asai & Michael McAleer, 2011. "Dynamic Conditional Correlations for Asymmetric Processes," Documentos de Trabajo del ICAE 2011-30, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Asai, M. & McAleer, M.J. & Medeiros, M.C., 2010. "Asymmetry and Long Memory in Volatility Modelling," Econometric Institute Research Papers EI 2010-60, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Thilo A. Schmitt & Rudi Schafer & Holger Dette & Thomas Guhr, 2015. "Quantile Correlations: Uncovering temporal dependencies in financial time series," Papers 1507.04990, arXiv.org.
    4. Fuertes, Ana-Maria & Olmo, Jose, 2013. "Optimally harnessing inter-day and intra-day information for daily value-at-risk prediction," International Journal of Forecasting, Elsevier, vol. 29(1), pages 28-42.
    5. Duan, Yinying & Chen, Wang & Zeng, Qing & Liu, Zhicao, 2018. "Leverage effect, economic policy uncertainty and realized volatility with regime switching," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 148-154.
    6. Rossi, Eduardo & Santucci de Magistris, Paolo, 2013. "Long memory and tail dependence in trading volume and volatility," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 94-112.
    7. Robinson Kruse & Christian Leschinski & Michael Will, 2016. "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," CREATES Research Papers 2016-17, Department of Economics and Business Economics, Aarhus University.
    8. Gonzalez-Perez, Maria T. & Guerrero, David E., 2013. "Day-of-the-week effect on the VIX. A parsimonious representation," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 243-260.
    9. Zhang, Lixia & Luo, Qin & Guo, Xiaozhu & Umar, Muhammad, 2022. "Medium-term and long-term volatility forecasts for EUA futures with country-specific economic policy uncertainty indices," Resources Policy, Elsevier, vol. 77(C).
    10. Duong T Le, 2015. "Ex-ante Determinants of Volatility in the Crude Oil Market," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 6(1), pages 1-13, January.
    11. Massimiliano Caporin & Gabriel G. Velo, 2011. "Modeling and forecasting realized range volatility," "Marco Fanno" Working Papers 0128, Dipartimento di Scienze Economiche "Marco Fanno".
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