IDEAS home Printed from https://ideas.repec.org/f/c/pma286.html
   My authors  Follow this author

Ronald Mahieu

(We have lost contact with this author. Please ask them to update the entry or send us the correct address or status for this person. Thank you.)

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Ronald J. Mahieu & Peter C. Schotman, 1998. "An empirical application of stochastic volatility models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(4), pages 333-360.

    Mentioned in:

    1. An empirical application of stochastic volatility models (Journal of Applied Econometrics 1998) in ReplicationWiki ()
  2. Charles S. Bos & Ronald J. Mahieu & Herman K. Van Dijk, 2000. "Daily exchange rate behaviour and hedging of currency risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 671-696.

    Mentioned in:

    1. Daily exchange rate behaviour and hedging of currency risk (Journal of Applied Econometrics 2000) in ReplicationWiki ()

Working papers

  1. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM 12291c8c-5dcd-4192-b37f-4, Tilburg University, School of Economics and Management.

    Cited by:

    1. Masciandaro, Donato, 2022. "Independence, conservatism, and beyond: Monetary policy, central bank governance and central banker preferences (1981–2021)," Journal of International Money and Finance, Elsevier, vol. 122(C).
    2. Federico Favaretto & Donato Masciandaro, 2016. "Too Little, Too Late? Monetary Policymaking Inertia and Psychology: A Behavioral Model," BAFFI CAREFIN Working Papers 1617, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    3. Donato Masciandaro & Paola Profeta & Davide Romelli, 2016. "Gender and Monetary Policymaking: Trends and Drivers," BAFFI CAREFIN Working Papers 1512, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    4. Donato Masciandaro & Davide Romelli, 2019. "Behavioral Monetary Policymaking: Economics, Political Economy And Psychology," BAFFI CAREFIN Working Papers 19105, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Emile van Ommeren & Giulia Piccillo, 2019. "The Central Bank Governor and Interest Rate Setting by Committee," CESifo Working Paper Series 7822, CESifo.
    6. Alessandro Riboni & Francisco Ruge-Murcia, 2020. "The Power of the Federal Reserve Chair," Cahiers de recherche 20-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    7. Sandra A. Cannon, 2015. "Sentiment of the FOMC: Unscripted," Economic Review, Federal Reserve Bank of Kansas City, issue Q IV, pages 5-31.
    8. Favaretto, Federico & Masciandaro, Donato, 2016. "Doves, hawks and pigeons: Behavioral monetary policy and interest rate inertia," Journal of Financial Stability, Elsevier, vol. 27(C), pages 50-58.
    9. Bordo, Michael & Istrefi, Klodiana, 2023. "Perceived FOMC: The making of hawks, doves and swingers," Journal of Monetary Economics, Elsevier, vol. 136(C), pages 125-143.
    10. Ibrahima Diouf & Dominique Pépin, 2017. "Gender And Central Banking," Post-Print hal-01224266, HAL.
    11. Schnakenberg, Keith & Turner, Ian R & Uribe-McGuire, Alicia, 2021. "Allies or Commitment Devices? A Model of Appointments to the Federal Reserve," SocArXiv b5zts, Center for Open Science.
    12. D. Masciandaro, 2019. "What Bird Is That? Central Banking And Monetary Policy In The Last Forty Years," BAFFI CAREFIN Working Papers 19127, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    13. Sylvester Eijffinger & Ronald Mahieu & Louis Raes, 2016. "Monetary Policy Committees, Voting Behavior and Ideal Points," BAFFI CAREFIN Working Papers 1628, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    14. Keith E. Schnakenberg & Ian R. Turner & Alicia Uribe-McGuire, 2017. "Allies or commitment devices? A model of appointments to the Federal Reserve," Economics and Politics, Wiley Blackwell, vol. 29(2), pages 118-132, July.
    15. Rieder, Kilian, 2022. "Monetary policy decision-making by committee: Why, when and how it can work," European Journal of Political Economy, Elsevier, vol. 72(C).

  2. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2015. "Hawks and Doves at the FOMC," CEPR Discussion Papers 10442, C.E.P.R. Discussion Papers.

    Cited by:

    1. Masciandaro, Donato, 2022. "Independence, conservatism, and beyond: Monetary policy, central bank governance and central banker preferences (1981–2021)," Journal of International Money and Finance, Elsevier, vol. 122(C).
    2. Federico Favaretto & Donato Masciandaro, 2016. "Too Little, Too Late? Monetary Policymaking Inertia and Psychology: A Behavioral Model," BAFFI CAREFIN Working Papers 1617, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    3. Donato Masciandaro & Paola Profeta & Davide Romelli, 2016. "Gender and Monetary Policymaking: Trends and Drivers," BAFFI CAREFIN Working Papers 1512, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    4. Donato Masciandaro & Davide Romelli, 2019. "Behavioral Monetary Policymaking: Economics, Political Economy And Psychology," BAFFI CAREFIN Working Papers 19105, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Emile van Ommeren & Giulia Piccillo, 2019. "The Central Bank Governor and Interest Rate Setting by Committee," CESifo Working Paper Series 7822, CESifo.
    6. Alessandro Riboni & Francisco Ruge-Murcia, 2020. "The Power of the Federal Reserve Chair," Cahiers de recherche 20-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    7. Sandra A. Cannon, 2015. "Sentiment of the FOMC: Unscripted," Economic Review, Federal Reserve Bank of Kansas City, issue Q IV, pages 5-31.
    8. Favaretto, Federico & Masciandaro, Donato, 2016. "Doves, hawks and pigeons: Behavioral monetary policy and interest rate inertia," Journal of Financial Stability, Elsevier, vol. 27(C), pages 50-58.
    9. Bordo, Michael & Istrefi, Klodiana, 2023. "Perceived FOMC: The making of hawks, doves and swingers," Journal of Monetary Economics, Elsevier, vol. 136(C), pages 125-143.
    10. Ibrahima Diouf & Dominique Pépin, 2017. "Gender And Central Banking," Post-Print hal-01224266, HAL.
    11. Schnakenberg, Keith & Turner, Ian R & Uribe-McGuire, Alicia, 2021. "Allies or Commitment Devices? A Model of Appointments to the Federal Reserve," SocArXiv b5zts, Center for Open Science.
    12. D. Masciandaro, 2019. "What Bird Is That? Central Banking And Monetary Policy In The Last Forty Years," BAFFI CAREFIN Working Papers 19127, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    13. Sylvester Eijffinger & Ronald Mahieu & Louis Raes, 2016. "Monetary Policy Committees, Voting Behavior and Ideal Points," BAFFI CAREFIN Working Papers 1628, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    14. Keith E. Schnakenberg & Ian R. Turner & Alicia Uribe-McGuire, 2017. "Allies or commitment devices? A model of appointments to the Federal Reserve," Economics and Politics, Wiley Blackwell, vol. 29(2), pages 118-132, July.
    15. Rieder, Kilian, 2022. "Monetary policy decision-making by committee: Why, when and how it can work," European Journal of Political Economy, Elsevier, vol. 72(C).

  3. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM c5fab1b1-c69d-4298-a6e0-e, Tilburg University, School of Economics and Management.

    Cited by:

    1. Masciandaro, Donato, 2022. "Independence, conservatism, and beyond: Monetary policy, central bank governance and central banker preferences (1981–2021)," Journal of International Money and Finance, Elsevier, vol. 122(C).
    2. Federico Favaretto & Donato Masciandaro, 2016. "Too Little, Too Late? Monetary Policymaking Inertia and Psychology: A Behavioral Model," BAFFI CAREFIN Working Papers 1617, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    3. Donato Masciandaro & Paola Profeta & Davide Romelli, 2016. "Gender and Monetary Policymaking: Trends and Drivers," BAFFI CAREFIN Working Papers 1512, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    4. Donato Masciandaro & Davide Romelli, 2019. "Behavioral Monetary Policymaking: Economics, Political Economy And Psychology," BAFFI CAREFIN Working Papers 19105, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Emile van Ommeren & Giulia Piccillo, 2019. "The Central Bank Governor and Interest Rate Setting by Committee," CESifo Working Paper Series 7822, CESifo.
    6. Alessandro Riboni & Francisco Ruge-Murcia, 2020. "The Power of the Federal Reserve Chair," Cahiers de recherche 20-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    7. Sandra A. Cannon, 2015. "Sentiment of the FOMC: Unscripted," Economic Review, Federal Reserve Bank of Kansas City, issue Q IV, pages 5-31.
    8. Favaretto, Federico & Masciandaro, Donato, 2016. "Doves, hawks and pigeons: Behavioral monetary policy and interest rate inertia," Journal of Financial Stability, Elsevier, vol. 27(C), pages 50-58.
    9. Bordo, Michael & Istrefi, Klodiana, 2023. "Perceived FOMC: The making of hawks, doves and swingers," Journal of Monetary Economics, Elsevier, vol. 136(C), pages 125-143.
    10. Ibrahima Diouf & Dominique Pépin, 2017. "Gender And Central Banking," Post-Print hal-01224266, HAL.
    11. Schnakenberg, Keith & Turner, Ian R & Uribe-McGuire, Alicia, 2021. "Allies or Commitment Devices? A Model of Appointments to the Federal Reserve," SocArXiv b5zts, Center for Open Science.
    12. D. Masciandaro, 2019. "What Bird Is That? Central Banking And Monetary Policy In The Last Forty Years," BAFFI CAREFIN Working Papers 19127, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    13. Sylvester Eijffinger & Ronald Mahieu & Louis Raes, 2016. "Monetary Policy Committees, Voting Behavior and Ideal Points," BAFFI CAREFIN Working Papers 1628, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    14. Keith E. Schnakenberg & Ian R. Turner & Alicia Uribe-McGuire, 2017. "Allies or commitment devices? A model of appointments to the Federal Reserve," Economics and Politics, Wiley Blackwell, vol. 29(2), pages 118-132, July.
    15. Rieder, Kilian, 2022. "Monetary policy decision-making by committee: Why, when and how it can work," European Journal of Political Economy, Elsevier, vol. 72(C).

  4. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Inferring Hawks and Doves from Voting Records," Other publications TiSEM 1588f60e-61f6-4492-a5d1-5, Tilburg University, School of Economics and Management.

    Cited by:

    1. Masciandaro, Donato, 2022. "Independence, conservatism, and beyond: Monetary policy, central bank governance and central banker preferences (1981–2021)," Journal of International Money and Finance, Elsevier, vol. 122(C).
    2. Donato Masciandaro & Paola Profeta & Davide Romelli, 2023. "Women and Governance: Central Bank Boards and Monetary Policy," Trinity Economics Papers tep1123, Trinity College Dublin, Department of Economics.
    3. Federico Favaretto & Donato Masciandaro, 2016. "Too Little, Too Late? Monetary Policymaking Inertia and Psychology: A Behavioral Model," BAFFI CAREFIN Working Papers 1617, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    4. Roman Horvath & Júlia Jonasova, 2014. "Central Banks Voting Records, Financial Crisis and Future Monetary Policy," Working Papers IES 2014/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2014.
    5. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM 12291c8c-5dcd-4192-b37f-4, Tilburg University, School of Economics and Management.
    6. Donato Masciandaro & Paola Profeta & Davide Romelli, 2016. "Gender and Monetary Policymaking: Trends and Drivers," BAFFI CAREFIN Working Papers 1512, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    7. Donato Masciandaro & Davide Romelli, 2019. "Behavioral Monetary Policymaking: Economics, Political Economy And Psychology," BAFFI CAREFIN Working Papers 19105, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    8. McMahon, Michael & Hansen, Stephen, 2013. "First Impressions Matter: Signalling as a Source of Policy Dynamics," CEPR Discussion Papers 9607, C.E.P.R. Discussion Papers.
    9. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Estimating the Preferences of Central Bankers : An Analysis of Four Voting Records," Other publications TiSEM b8f10be2-d664-4d83-8bf4-6, Tilburg University, School of Economics and Management.
    10. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Estimating the Preferences of Central Bankers : An Analysis of Four Voting Records," Discussion Paper 2013-047, Tilburg University, Center for Economic Research.
    11. Donato Masciandaro & Paola Profeta & Davide Romelli, 2020. "Do Women Matter in Monetary Policy Boards?," BAFFI CAREFIN Working Papers 20148, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    12. Emile van Ommeren & Giulia Piccillo, 2019. "The Central Bank Governor and Interest Rate Setting by Committee," CESifo Working Paper Series 7822, CESifo.
    13. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2015. "Hawks and Doves at the FOMC," CEPR Discussion Papers 10442, C.E.P.R. Discussion Papers.
    14. Favaretto, Federico & Masciandaro, Donato, 2016. "Doves, hawks and pigeons: Behavioral monetary policy and interest rate inertia," Journal of Financial Stability, Elsevier, vol. 27(C), pages 50-58.
    15. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM c5fab1b1-c69d-4298-a6e0-e, Tilburg University, School of Economics and Management.
    16. D. Masciandaro, 2019. "What Bird Is That? Central Banking And Monetary Policy In The Last Forty Years," BAFFI CAREFIN Working Papers 19127, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    17. Sylvester Eijffinger & Ronald Mahieu & Louis Raes, 2016. "Monetary Policy Committees, Voting Behavior and Ideal Points," BAFFI CAREFIN Working Papers 1628, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    18. Kokoszczyński, Ryszard & Mackiewicz-Łyziak, Joanna, 2024. "Making monetary policy in Poland: Are Polish hawks and doves different?," European Journal of Political Economy, Elsevier, vol. 81(C).
    19. Rieder, Kilian, 2022. "Monetary policy decision-making by committee: Why, when and how it can work," European Journal of Political Economy, Elsevier, vol. 72(C).
    20. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Estimating the Preferences of Central Bankers : An Analysis of Four Voting Records," Other publications TiSEM ea85a7a5-07de-4416-ba44-b, Tilburg University, School of Economics and Management.

  5. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Estimating the Preferences of Central Bankers : An Analysis of Four Voting Records," Other publications TiSEM b8f10be2-d664-4d83-8bf4-6, Tilburg University, School of Economics and Management.

    Cited by:

    1. Masciandaro, Donato, 2022. "Independence, conservatism, and beyond: Monetary policy, central bank governance and central banker preferences (1981–2021)," Journal of International Money and Finance, Elsevier, vol. 122(C).
    2. Donato Masciandaro & Paola Profeta & Davide Romelli, 2023. "Women and Governance: Central Bank Boards and Monetary Policy," Trinity Economics Papers tep1123, Trinity College Dublin, Department of Economics.
    3. Ansgar Belke, 2017. "Central Bank Communication: Managing Expectations through the Monetary Dialogue," ROME Working Papers 201704, ROME Network.
    4. Federico Favaretto & Donato Masciandaro, 2016. "Too Little, Too Late? Monetary Policymaking Inertia and Psychology: A Behavioral Model," BAFFI CAREFIN Working Papers 1617, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Roman Horvath & Júlia Jonasova, 2014. "Central Banks Voting Records, Financial Crisis and Future Monetary Policy," Working Papers IES 2014/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2014.
    6. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM 12291c8c-5dcd-4192-b37f-4, Tilburg University, School of Economics and Management.
    7. Donato Masciandaro & Paola Profeta & Davide Romelli, 2016. "Gender and Monetary Policymaking: Trends and Drivers," BAFFI CAREFIN Working Papers 1512, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    8. Donato Masciandaro & Davide Romelli, 2019. "Behavioral Monetary Policymaking: Economics, Political Economy And Psychology," BAFFI CAREFIN Working Papers 19105, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    9. Ansgar Belke, 2014. "Monetary Dialogue 2009-2014: Looking backward, looking forward," ROME Working Papers 201402, ROME Network.
    10. Donato Masciandaro & Paola Profeta & Davide Romelli, 2020. "Do Women Matter in Monetary Policy Boards?," BAFFI CAREFIN Working Papers 20148, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    11. Emile van Ommeren & Giulia Piccillo, 2019. "The Central Bank Governor and Interest Rate Setting by Committee," CESifo Working Paper Series 7822, CESifo.
    12. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2015. "Hawks and Doves at the FOMC," CEPR Discussion Papers 10442, C.E.P.R. Discussion Papers.
    13. Favaretto, Federico & Masciandaro, Donato, 2016. "Doves, hawks and pigeons: Behavioral monetary policy and interest rate inertia," Journal of Financial Stability, Elsevier, vol. 27(C), pages 50-58.
    14. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM c5fab1b1-c69d-4298-a6e0-e, Tilburg University, School of Economics and Management.
    15. D. Masciandaro, 2019. "What Bird Is That? Central Banking And Monetary Policy In The Last Forty Years," BAFFI CAREFIN Working Papers 19127, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    16. Sylvester Eijffinger & Ronald Mahieu & Louis Raes, 2016. "Monetary Policy Committees, Voting Behavior and Ideal Points," BAFFI CAREFIN Working Papers 1628, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    17. Diaf, Sami, 2022. "Policy preference at central banks: Quantifying monetary policy signals using keyword topic models," WiSo-HH Working Paper Series 69, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.

  6. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Estimating the Preferences of Central Bankers : An Analysis of Four Voting Records," Discussion Paper 2013-047, Tilburg University, Center for Economic Research.

    Cited by:

    1. Masciandaro, Donato, 2022. "Independence, conservatism, and beyond: Monetary policy, central bank governance and central banker preferences (1981–2021)," Journal of International Money and Finance, Elsevier, vol. 122(C).
    2. Donato Masciandaro & Paola Profeta & Davide Romelli, 2023. "Women and Governance: Central Bank Boards and Monetary Policy," Trinity Economics Papers tep1123, Trinity College Dublin, Department of Economics.
    3. Ansgar Belke, 2017. "Central Bank Communication: Managing Expectations through the Monetary Dialogue," ROME Working Papers 201704, ROME Network.
    4. Federico Favaretto & Donato Masciandaro, 2016. "Too Little, Too Late? Monetary Policymaking Inertia and Psychology: A Behavioral Model," BAFFI CAREFIN Working Papers 1617, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Roman Horvath & Júlia Jonasova, 2014. "Central Banks Voting Records, Financial Crisis and Future Monetary Policy," Working Papers IES 2014/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2014.
    6. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM 12291c8c-5dcd-4192-b37f-4, Tilburg University, School of Economics and Management.
    7. Donato Masciandaro & Paola Profeta & Davide Romelli, 2016. "Gender and Monetary Policymaking: Trends and Drivers," BAFFI CAREFIN Working Papers 1512, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    8. Donato Masciandaro & Davide Romelli, 2019. "Behavioral Monetary Policymaking: Economics, Political Economy And Psychology," BAFFI CAREFIN Working Papers 19105, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    9. Ansgar Belke, 2014. "Monetary Dialogue 2009-2014: Looking backward, looking forward," ROME Working Papers 201402, ROME Network.
    10. Donato Masciandaro & Paola Profeta & Davide Romelli, 2020. "Do Women Matter in Monetary Policy Boards?," BAFFI CAREFIN Working Papers 20148, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    11. Emile van Ommeren & Giulia Piccillo, 2019. "The Central Bank Governor and Interest Rate Setting by Committee," CESifo Working Paper Series 7822, CESifo.
    12. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2015. "Hawks and Doves at the FOMC," CEPR Discussion Papers 10442, C.E.P.R. Discussion Papers.
    13. Favaretto, Federico & Masciandaro, Donato, 2016. "Doves, hawks and pigeons: Behavioral monetary policy and interest rate inertia," Journal of Financial Stability, Elsevier, vol. 27(C), pages 50-58.
    14. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM c5fab1b1-c69d-4298-a6e0-e, Tilburg University, School of Economics and Management.
    15. D. Masciandaro, 2019. "What Bird Is That? Central Banking And Monetary Policy In The Last Forty Years," BAFFI CAREFIN Working Papers 19127, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    16. Sylvester Eijffinger & Ronald Mahieu & Louis Raes, 2016. "Monetary Policy Committees, Voting Behavior and Ideal Points," BAFFI CAREFIN Working Papers 1628, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    17. Diaf, Sami, 2022. "Policy preference at central banks: Quantifying monetary policy signals using keyword topic models," WiSo-HH Working Paper Series 69, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.

  7. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Inferring Hawks and Doves from Voting Records," Other publications TiSEM daf17793-6ce0-4c29-827b-d, Tilburg University, School of Economics and Management.

    Cited by:

    1. Masciandaro, Donato, 2022. "Independence, conservatism, and beyond: Monetary policy, central bank governance and central banker preferences (1981–2021)," Journal of International Money and Finance, Elsevier, vol. 122(C).
    2. Donato Masciandaro & Paola Profeta & Davide Romelli, 2023. "Women and Governance: Central Bank Boards and Monetary Policy," Trinity Economics Papers tep1123, Trinity College Dublin, Department of Economics.
    3. Federico Favaretto & Donato Masciandaro, 2016. "Too Little, Too Late? Monetary Policymaking Inertia and Psychology: A Behavioral Model," BAFFI CAREFIN Working Papers 1617, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    4. Roman Horvath & Júlia Jonasova, 2014. "Central Banks Voting Records, Financial Crisis and Future Monetary Policy," Working Papers IES 2014/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2014.
    5. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM 12291c8c-5dcd-4192-b37f-4, Tilburg University, School of Economics and Management.
    6. Donato Masciandaro & Paola Profeta & Davide Romelli, 2016. "Gender and Monetary Policymaking: Trends and Drivers," BAFFI CAREFIN Working Papers 1512, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    7. Donato Masciandaro & Davide Romelli, 2019. "Behavioral Monetary Policymaking: Economics, Political Economy And Psychology," BAFFI CAREFIN Working Papers 19105, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    8. McMahon, Michael & Hansen, Stephen, 2013. "First Impressions Matter: Signalling as a Source of Policy Dynamics," CEPR Discussion Papers 9607, C.E.P.R. Discussion Papers.
    9. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Estimating the Preferences of Central Bankers : An Analysis of Four Voting Records," Other publications TiSEM b8f10be2-d664-4d83-8bf4-6, Tilburg University, School of Economics and Management.
    10. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Estimating the Preferences of Central Bankers : An Analysis of Four Voting Records," Discussion Paper 2013-047, Tilburg University, Center for Economic Research.
    11. Donato Masciandaro & Paola Profeta & Davide Romelli, 2020. "Do Women Matter in Monetary Policy Boards?," BAFFI CAREFIN Working Papers 20148, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    12. Emile van Ommeren & Giulia Piccillo, 2019. "The Central Bank Governor and Interest Rate Setting by Committee," CESifo Working Paper Series 7822, CESifo.
    13. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2015. "Hawks and Doves at the FOMC," CEPR Discussion Papers 10442, C.E.P.R. Discussion Papers.
    14. Favaretto, Federico & Masciandaro, Donato, 2016. "Doves, hawks and pigeons: Behavioral monetary policy and interest rate inertia," Journal of Financial Stability, Elsevier, vol. 27(C), pages 50-58.
    15. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM c5fab1b1-c69d-4298-a6e0-e, Tilburg University, School of Economics and Management.
    16. D. Masciandaro, 2019. "What Bird Is That? Central Banking And Monetary Policy In The Last Forty Years," BAFFI CAREFIN Working Papers 19127, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    17. Sylvester Eijffinger & Ronald Mahieu & Louis Raes, 2016. "Monetary Policy Committees, Voting Behavior and Ideal Points," BAFFI CAREFIN Working Papers 1628, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    18. Kokoszczyński, Ryszard & Mackiewicz-Łyziak, Joanna, 2024. "Making monetary policy in Poland: Are Polish hawks and doves different?," European Journal of Political Economy, Elsevier, vol. 81(C).
    19. Rieder, Kilian, 2022. "Monetary policy decision-making by committee: Why, when and how it can work," European Journal of Political Economy, Elsevier, vol. 72(C).
    20. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Estimating the Preferences of Central Bankers : An Analysis of Four Voting Records," Other publications TiSEM ea85a7a5-07de-4416-ba44-b, Tilburg University, School of Economics and Management.

  8. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2013. "Inferring hawks and doves from voting records," CEPR Discussion Papers 9418, C.E.P.R. Discussion Papers.

    Cited by:

    1. Masciandaro, Donato, 2022. "Independence, conservatism, and beyond: Monetary policy, central bank governance and central banker preferences (1981–2021)," Journal of International Money and Finance, Elsevier, vol. 122(C).
    2. Donato Masciandaro & Paola Profeta & Davide Romelli, 2023. "Women and Governance: Central Bank Boards and Monetary Policy," Trinity Economics Papers tep1123, Trinity College Dublin, Department of Economics.
    3. Federico Favaretto & Donato Masciandaro, 2016. "Too Little, Too Late? Monetary Policymaking Inertia and Psychology: A Behavioral Model," BAFFI CAREFIN Working Papers 1617, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    4. Roman Horvath & Júlia Jonasova, 2014. "Central Banks Voting Records, Financial Crisis and Future Monetary Policy," Working Papers IES 2014/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2014.
    5. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM 12291c8c-5dcd-4192-b37f-4, Tilburg University, School of Economics and Management.
    6. Donato Masciandaro & Paola Profeta & Davide Romelli, 2016. "Gender and Monetary Policymaking: Trends and Drivers," BAFFI CAREFIN Working Papers 1512, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    7. Donato Masciandaro & Davide Romelli, 2019. "Behavioral Monetary Policymaking: Economics, Political Economy And Psychology," BAFFI CAREFIN Working Papers 19105, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    8. McMahon, Michael & Hansen, Stephen, 2013. "First Impressions Matter: Signalling as a Source of Policy Dynamics," CEPR Discussion Papers 9607, C.E.P.R. Discussion Papers.
    9. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Estimating the Preferences of Central Bankers : An Analysis of Four Voting Records," Other publications TiSEM b8f10be2-d664-4d83-8bf4-6, Tilburg University, School of Economics and Management.
    10. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Estimating the Preferences of Central Bankers : An Analysis of Four Voting Records," Discussion Paper 2013-047, Tilburg University, Center for Economic Research.
    11. Donato Masciandaro & Paola Profeta & Davide Romelli, 2020. "Do Women Matter in Monetary Policy Boards?," BAFFI CAREFIN Working Papers 20148, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    12. Emile van Ommeren & Giulia Piccillo, 2019. "The Central Bank Governor and Interest Rate Setting by Committee," CESifo Working Paper Series 7822, CESifo.
    13. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2015. "Hawks and Doves at the FOMC," CEPR Discussion Papers 10442, C.E.P.R. Discussion Papers.
    14. Favaretto, Federico & Masciandaro, Donato, 2016. "Doves, hawks and pigeons: Behavioral monetary policy and interest rate inertia," Journal of Financial Stability, Elsevier, vol. 27(C), pages 50-58.
    15. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM c5fab1b1-c69d-4298-a6e0-e, Tilburg University, School of Economics and Management.
    16. D. Masciandaro, 2019. "What Bird Is That? Central Banking And Monetary Policy In The Last Forty Years," BAFFI CAREFIN Working Papers 19127, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    17. Sylvester Eijffinger & Ronald Mahieu & Louis Raes, 2016. "Monetary Policy Committees, Voting Behavior and Ideal Points," BAFFI CAREFIN Working Papers 1628, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    18. Kokoszczyński, Ryszard & Mackiewicz-Łyziak, Joanna, 2024. "Making monetary policy in Poland: Are Polish hawks and doves different?," European Journal of Political Economy, Elsevier, vol. 81(C).
    19. Rieder, Kilian, 2022. "Monetary policy decision-making by committee: Why, when and how it can work," European Journal of Political Economy, Elsevier, vol. 72(C).
    20. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Estimating the Preferences of Central Bankers : An Analysis of Four Voting Records," Other publications TiSEM ea85a7a5-07de-4416-ba44-b, Tilburg University, School of Economics and Management.

  9. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2013. "Estimating the Preferences of Central Bankers : An Analysis of Four Voting Records," Other publications TiSEM ea85a7a5-07de-4416-ba44-b, Tilburg University, School of Economics and Management.

    Cited by:

    1. Masciandaro, Donato, 2022. "Independence, conservatism, and beyond: Monetary policy, central bank governance and central banker preferences (1981–2021)," Journal of International Money and Finance, Elsevier, vol. 122(C).
    2. Donato Masciandaro & Paola Profeta & Davide Romelli, 2023. "Women and Governance: Central Bank Boards and Monetary Policy," Trinity Economics Papers tep1123, Trinity College Dublin, Department of Economics.
    3. Ansgar Belke, 2017. "Central Bank Communication: Managing Expectations through the Monetary Dialogue," ROME Working Papers 201704, ROME Network.
    4. Federico Favaretto & Donato Masciandaro, 2016. "Too Little, Too Late? Monetary Policymaking Inertia and Psychology: A Behavioral Model," BAFFI CAREFIN Working Papers 1617, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Roman Horvath & Júlia Jonasova, 2014. "Central Banks Voting Records, Financial Crisis and Future Monetary Policy," Working Papers IES 2014/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2014.
    6. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM 12291c8c-5dcd-4192-b37f-4, Tilburg University, School of Economics and Management.
    7. Donato Masciandaro & Paola Profeta & Davide Romelli, 2016. "Gender and Monetary Policymaking: Trends and Drivers," BAFFI CAREFIN Working Papers 1512, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    8. Donato Masciandaro & Davide Romelli, 2019. "Behavioral Monetary Policymaking: Economics, Political Economy And Psychology," BAFFI CAREFIN Working Papers 19105, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    9. Ansgar Belke, 2014. "Monetary Dialogue 2009-2014: Looking backward, looking forward," ROME Working Papers 201402, ROME Network.
    10. Donato Masciandaro & Paola Profeta & Davide Romelli, 2020. "Do Women Matter in Monetary Policy Boards?," BAFFI CAREFIN Working Papers 20148, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    11. Emile van Ommeren & Giulia Piccillo, 2019. "The Central Bank Governor and Interest Rate Setting by Committee," CESifo Working Paper Series 7822, CESifo.
    12. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2015. "Hawks and Doves at the FOMC," CEPR Discussion Papers 10442, C.E.P.R. Discussion Papers.
    13. Favaretto, Federico & Masciandaro, Donato, 2016. "Doves, hawks and pigeons: Behavioral monetary policy and interest rate inertia," Journal of Financial Stability, Elsevier, vol. 27(C), pages 50-58.
    14. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2015. "Hawks and Doves at the FOMC," Other publications TiSEM c5fab1b1-c69d-4298-a6e0-e, Tilburg University, School of Economics and Management.
    15. D. Masciandaro, 2019. "What Bird Is That? Central Banking And Monetary Policy In The Last Forty Years," BAFFI CAREFIN Working Papers 19127, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    16. Sylvester Eijffinger & Ronald Mahieu & Louis Raes, 2016. "Monetary Policy Committees, Voting Behavior and Ideal Points," BAFFI CAREFIN Working Papers 1628, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    17. Diaf, Sami, 2022. "Policy preference at central banks: Quantifying monetary policy signals using keyword topic models," WiSo-HH Working Paper Series 69, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.

  10. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2012. "Can the Fed talk the Hind Legs off the Stock Market? (replaces CentER DP 2011-072)," Discussion Paper 2012-012, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kontonikas, Alexandros & MacDonald, Ronald & Saggu, Aman, 2013. "Stock market reaction to fed funds rate surprises: State dependence and the financial crisis," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4025-4037.

  11. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2012. "Can the Fed talk the Hind Legs off the Stock Market? (replaces CentER DP 2011-072)," Other publications TiSEM 347a970d-4a05-416f-a351-1, Tilburg University, School of Economics and Management.

    Cited by:

    1. Kontonikas, Alexandros & MacDonald, Ronald & Saggu, Aman, 2013. "Stock market reaction to fed funds rate surprises: State dependence and the financial crisis," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4025-4037.

  12. Huang, X. & Mahieu, R.J., 2012. "Performance persistence of Dutch pension plans," Other publications TiSEM 3dba651c-bb31-443f-963c-4, Tilburg University, School of Economics and Management.

    Cited by:

    1. Marwa Zouaoui, 2019. "Selectivity and Market Timing Ability of Fund Managers: Comparative Analysis of Islamic and Conventional HSBC Saudi Mutual Funds," IJFS, MDPI, vol. 7(3), pages 1-19, September.
    2. Zia-ur-Rehman Rao & Muhammad Zubair Tauni & Tanveer Ahsan & Muhammad Umar, 2020. "Do mutual funds have consistency in their performance?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 19(2), pages 139-153, May.
    3. Jianping Lu & Tingting He & Guiwu Wei & Jiang Wu & Cun Wei, 2020. "Cumulative Prospect Theory: Performance Evaluation of Government Purchases of Home-Based Elderly-Care Services Using the Pythagorean 2-tuple Linguistic TODIM Method," IJERPH, MDPI, vol. 17(6), pages 1-21, March.
    4. Broeders, Dirk W.G.A. & van Oord, Arco & Rijsbergen, David R., 2019. "Does it pay to pay performance fees? Empirical evidence from Dutch pension funds," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 299-312.

  13. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2011. "Can the Fed talk the hind legs off the stock market?," CEPR Discussion Papers 8450, C.E.P.R. Discussion Papers.

    Cited by:

    1. Kontonikas, Alexandros & MacDonald, Ronald & Saggu, Aman, 2013. "Stock market reaction to fed funds rate surprises: State dependence and the financial crisis," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4025-4037.
    2. Mira Farka, 2022. "The credit channel of monetary policy before and after the zero lower bound: Evidence from the US equity market," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(3), pages 633-693, September.
    3. Eijffinger, S.C.W., 2015. "Monetary dialogue 2009–2014 : Looking backward, looking forward," Other publications TiSEM b4d496af-6b5e-4290-9acd-0, Tilburg University, School of Economics and Management.
    4. Audrino, Francesco & Offner, Eric A., 2024. "The impact of macroeconomic news sentiment on interest rates," International Review of Financial Analysis, Elsevier, vol. 94(C).

  14. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2010. "The Bond Yield Conundrum : Alternative Hypotheses and the State of the Economy," Other publications TiSEM 8b320ebf-1447-46c9-82e3-c, Tilburg University, School of Economics and Management.

    Cited by:

    1. Goda, Thomas & Lysandrou, Photis & Stewart, Chris, 2013. "The contribution of US bond demand to the US bond yield conundrum of 2004–2007: An empirical investigation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 113-136.

  15. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2010. "The bond yield conundrum: alternative hypotheses and the state of the economy," CEPR Discussion Papers 8063, C.E.P.R. Discussion Papers.

    Cited by:

    1. Goda, Thomas & Lysandrou, Photis & Stewart, Chris, 2013. "The contribution of US bond demand to the US bond yield conundrum of 2004–2007: An empirical investigation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 113-136.

  16. Eijffinger, S.C.W. & Mahieu, R.J. & Raes, L.B.D., 2010. "The Bond Yield Conundrum : Alternative Hypotheses and the State of the Economy," Other publications TiSEM b44feba5-acd3-43b8-969e-1, Tilburg University, School of Economics and Management.

    Cited by:

    1. Goda, Thomas & Lysandrou, Photis & Stewart, Chris, 2013. "The contribution of US bond demand to the US bond yield conundrum of 2004–2007: An empirical investigation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 113-136.

  17. Huisman, R. & Mahieu, R.J. & Schlichter, F., 2007. "Electricity Portfolio Management: Optimal Peak / Off-Peak Allocations," ERIM Report Series Research in Management ERS-2007-089-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Roncoroni, Andrea & Id Brik, Rachid, 2017. "Hedging size risk: Theory and application to the US gas market," Energy Economics, Elsevier, vol. 64(C), pages 415-437.
    2. Pérez Odeh, Rodrigo & Watts, David & Negrete-Pincetic, Matías, 2018. "Portfolio applications in electricity markets review: Private investor and manager perspective trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 192-204.
    3. Jorge Antunes & Luis Alberiko Gil-Alana & Rossana Riccardi & Yong Tan & Peter Wanke, 2022. "Unveiling endogeneity and temporal dependence in energy prices and demand in Iberian countries: a stochastic hidden Markov model approach," Annals of Operations Research, Springer, vol. 313(1), pages 191-229, June.
    4. Tolis, Athanasios I. & Rentizelas, Athanasios A., 2011. "An impact assessment of electricity and emission allowances pricing in optimised expansion planning of power sector portfolios," Applied Energy, Elsevier, vol. 88(11), pages 3791-3806.
    5. Mara Madaleno & Carlos Pinho, 2010. "Hedging Performance and Multiscale Relationships in the German Electricity Spot and Futures Markets," JRFM, MDPI, vol. 3(1), pages 1-37, December.
    6. Emanuel Canelas & Tânia Pinto-Varela & Bartosz Sawik, 2020. "Electricity Portfolio Optimization for Large Consumers: Iberian Electricity Market Case Study," Energies, MDPI, vol. 13(9), pages 1-21, May.
    7. Delarue, Erik & De Jonghe, Cedric & Belmans, Ronnie & D'haeseleer, William, 2011. "Applying portfolio theory to the electricity sector: Energy versus power," Energy Economics, Elsevier, vol. 33(1), pages 12-23, January.
    8. Yen-Hsien Lee & Ya-Ling Huang & Chun-Yu Wu, 2014. "Dynamic Correlations and Volatility Spillovers between Crude Oil and Stock Index Returns: The Implications for Optimal Portfolio Construction," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 327-336.
    9. Wang, Yong & Li, Lin, 2014. "Time-of-use based electricity cost of manufacturing systems: Modeling and monotonicity analysis," International Journal of Production Economics, Elsevier, vol. 156(C), pages 246-259.
    10. Pineda, S. & Conejo, A.J. & Carrión, M., 2010. "Insuring unit failures in electricity markets," Energy Economics, Elsevier, vol. 32(6), pages 1268-1276, November.
    11. Chen, Hao & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1333-1345.
    12. Steele Santos, Paulo E. & Coradi Leme, Rafael & Galvão, Leandro, 2012. "On the electrical two-part tariff—The Brazilian perspective," Energy Policy, Elsevier, vol. 40(C), pages 123-130.
    13. Merkel, Erik & Fehrenbach, Daniel & McKenna, Russell & Fichtner, Wolf, 2014. "Modelling decentralised heat supply: An application and methodological extension in TIMES," Energy, Elsevier, vol. 73(C), pages 592-605.
    14. deLlano-Paz, Fernando & Calvo-Silvosa, Anxo & Antelo, Susana Iglesias & Soares, Isabel, 2017. "Energy planning and modern portfolio theory: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 636-651.
    15. Charwand, Mansour & Gitizadeh, Mohsen & Siano, Pierluigi, 2017. "A new active portfolio risk management for an electricity retailer based on a drawdown risk preference," Energy, Elsevier, vol. 118(C), pages 387-398.
    16. Rentizelas, Athanasios A. & Tolis, Athanasios I. & Tatsiopoulos, Ilias P., 2012. "Investment planning in electricity production under CO2 price uncertainty," International Journal of Production Economics, Elsevier, vol. 140(2), pages 622-629.
    17. Dornan, Matthew & Jotzo, Frank, 2015. "Renewable technologies and risk mitigation in small island developing states: Fiji’s electricity sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 35-48.
    18. Haitao Xiang & Ying Kong & Wai Kin Victor Chan & Sum Wai Chiang, 2019. "Impact of Price–Quantity Uncertainties and Risk Aversion on Energy Retailer’s Pricing and Hedging Behaviors," Energies, MDPI, vol. 12(17), pages 1-20, August.
    19. Pérez Odeh, Rodrigo & Watts, David & Flores, Yarela, 2018. "Planning in a changing environment: Applications of portfolio optimisation to deal with risk in the electricity sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3808-3823.

  18. Huisman, R. & Mahieu, R.J., 2007. "Revisiting Uncovered Interest Rate Parity: Switching Between UIP and the Random Walk," ERIM Report Series Research in Management ERS-2007-001-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Huisman, R. & Mahieu, R.J. & Schlichter, F., 2007. "Hedging Exposure to Electricity Price Risk in a Value at Risk Framework," ERIM Report Series Research in Management ERS-2007-013-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. HOROBET Alexandra Lavinia & DUMITRESCU Sorin-Adrian & DUMITRESCU Dan-Gabriel, 2009. "Exchange Rates And Volatility In Central And Eastern Europe: A Test For Uncovered Interest Parity," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 3(1), pages 552-557, May.
    3. Huisman, Ronald & Huurman, Christian & Mahieu, Ronald, 2007. "Hourly electricity prices in day-ahead markets," Energy Economics, Elsevier, vol. 29(2), pages 240-248, March.
    4. Mark David Witte, 2010. "Asian Exchange Rates during the Credit Crisis: Policies to Avoid Depreciation," Global Economic Review, Taylor & Francis Journals, vol. 39(1), pages 15-24.

  19. Huisman, R. & Mahieu, R.J. & Schlichter, F., 2007. "Hedging Exposure to Electricity Price Risk in a Value at Risk Framework," ERIM Report Series Research in Management ERS-2007-013-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Roncoroni, Andrea & Id Brik, Rachid, 2017. "Hedging size risk: Theory and application to the US gas market," Energy Economics, Elsevier, vol. 64(C), pages 415-437.
    2. Alfredo Trespalacios Carrasquilla & Juan Fernando Rendón & Javier Orlando Pantoja Robayo, 2012. "Efecto de Restricciones de VaR sobre Coberturas en Mercados Eléctricos," Documentos de Trabajo de Valor Público 10666, Universidad EAFIT.

  20. Huisman, R. & Huurman, C. & Mahieu, R.J., 2007. "Hourly Electricity Prices in Day-Ahead Markets," ERIM Report Series Research in Management ERS-2007-002-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Cludius, Johanna & Hermann, Hauke & Matthes, Felix Chr. & Graichen, Verena, 2014. "The merit order effect of wind and photovoltaic electricity generation in Germany 2008–2016: Estimation and distributional implications," Energy Economics, Elsevier, vol. 44(C), pages 302-313.
    2. Yannick LE PEN & Benoît SEVI, 2008. "Volatility transmission and volatility impulse response functions in European electricity forward markets," Cahiers du CREDEN (CREDEN Working Papers) 08.09.77, CREDEN (Centre de Recherche en Economie et Droit de l'Energie), Faculty of Economics, University of Montpellier 1.
    3. Nowotarski, Jakub & Raviv, Eran & Trück, Stefan & Weron, Rafał, 2014. "An empirical comparison of alternative schemes for combining electricity spot price forecasts," Energy Economics, Elsevier, vol. 46(C), pages 395-412.
    4. Huisman, R. & Mahieu, R.J. & Schlichter, F., 2009. "Electricity portfolio management : Optimal peak/off-peak allocations," Other publications TiSEM f880b2e6-c56c-483c-9334-9, Tilburg University, School of Economics and Management.
    5. Katarzyna Maciejowska & Rafal Weron, 2013. "Forecasting of daily electricity prices with factor models: Utilizing intra-day and inter-zone relationships," HSC Research Reports HSC/13/11, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    6. Weron, Rafal, 2008. "Market price of risk implied by Asian-style electricity options and futures," Energy Economics, Elsevier, vol. 30(3), pages 1098-1115, May.
    7. Deschatre, Thomas & Féron, Olivier & Gruet, Pierre, 2021. "A survey of electricity spot and futures price models for risk management applications," Energy Economics, Elsevier, vol. 102(C).
    8. Nikkinen, Jussi & Rothovius, Timo, 2019. "Market specific seasonal trading behavior in NASDAQ OMX electricity options," Journal of Commodity Markets, Elsevier, vol. 13(C), pages 16-29.
    9. Marchetti, Isabella & Rego, Erik Eduardo, 2022. "The impact of hourly pricing for renewable generation projects in Brazil," Renewable Energy, Elsevier, vol. 189(C), pages 601-617.
    10. Huisman, R., 2007. "The Influence of Temperature on Spike Probability in Day-Ahead Power Prices," ERIM Report Series Research in Management ERS-2007-039-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    11. Olga Y. Uritskaya & Vadim M. Uritsky, 2015. "Predictability of price movements in deregulated electricity markets," Papers 1505.08117, arXiv.org.
    12. Carlo Fezzi & Derek Bunn, 2010. "Structural Analysis of Electricity Demand and Supply Interactions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 827-856, December.
    13. Mara Madaleno & Carlos Pinho, 2010. "Hedging Performance and Multiscale Relationships in the German Electricity Spot and Futures Markets," JRFM, MDPI, vol. 3(1), pages 1-37, December.
    14. Bastos, Guadalupe & García-Martos, Carolina, 2017. "Electricity prices forecasting by averaging dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS 24028, Universidad Carlos III de Madrid. Departamento de Estadística.
    15. Katarzyna Maciejowska & Rafal Weron, 2013. "Forecasting of daily electricity spot prices by incorporating intra-day relationships: Evidence form the UK power market," HSC Research Reports HSC/13/01, Hugo Steinhaus Center, Wroclaw University of Science and Technology, revised 15 Apr 2013.
    16. Sinha, Pankaj & Mathur, Kritika, 2016. "Empirical Analysis of Developments in the Day Ahead Electricity Markets in India," MPRA Paper 72969, University Library of Munich, Germany.
    17. Jan Horst Keppler & Sébastien Phan & Yannick Le Pen, 2016. "The Impacts of Variable Renewable Production and Market Coupling on the Convergence of French and German Electricity Prices," The Energy Journal, , vol. 37(3), pages 343-360, July.
    18. Radu Porumb & Petru Postolache & George Serițan & Ramona Vatu & Oana Ceaki, 2013. "Load profiles analysis for electricity market," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 1(2), pages 30-38, December.
    19. Bartosz Uniejewski & Katarzyna Maciejowska, 2022. "LASSO Principal Component Averaging -- a fully automated approach for point forecast pooling," Papers 2207.04794, arXiv.org.
    20. Tselika, Kyriaki, 2022. "The impact of variable renewables on the distribution of hourly electricity prices and their variability: A panel approach," Energy Economics, Elsevier, vol. 113(C).
    21. Christensen, T.M. & Hurn, A.S. & Lindsay, K.A., 2012. "Forecasting spikes in electricity prices," International Journal of Forecasting, Elsevier, vol. 28(2), pages 400-411.
    22. Souhir, Ben Amor & Heni, Boubaker & Lotfi, Belkacem, 2019. "Price risk and hedging strategies in Nord Pool electricity market evidence with sector indexes," Energy Economics, Elsevier, vol. 80(C), pages 635-655.
    23. Frömmel, Michael & Han, Xing & Kratochvil, Stepan, 2014. "Modeling the daily electricity price volatility with realized measures," Energy Economics, Elsevier, vol. 44(C), pages 492-502.
    24. Eran Raviv & Kees E. Bouwman & Dick van Dijk, 2013. "Forecasting Day-Ahead Electricity Prices: Utilizing Hourly Prices," Tinbergen Institute Discussion Papers 13-068/III, Tinbergen Institute.
    25. Andrés M. Alonso & Guadalupe Bastos & Carolina García-Martos, 2016. "Electricity Price Forecasting by Averaging Dynamic Factor Models," Energies, MDPI, vol. 9(8), pages 1-21, July.
    26. Marie Bessec & Julien Fouquau & Sophie Méritet, 2014. "Forecasting electricity spot prices using time-series models with a double temporal segmentation," Post-Print hal-01502835, HAL.
    27. Møller, Niels Framroze & Møller Andersen, Frits, 2015. "An econometric analysis of electricity demand response to price changes at the intra-day horizon: The case of manufacturing industry in West Denmark," MPRA Paper 66178, University Library of Munich, Germany, revised 15 Aug 2015.
    28. Redl, Christian & Haas, Reinhard & Huber, Claus & Böhm, Bernhard, 2009. "Price formation in electricity forward markets and the relevance of systematic forecast errors," Energy Economics, Elsevier, vol. 31(3), pages 356-364, May.
    29. Thao Pham & Killian Lemoine, 2020. "Impacts of subsidized renewable electricity generation on spot market prices in Germany : Evidence from a GARCH model with panel data," Working Papers hal-02568268, HAL.
    30. Michail I. Seitaridis & Nikolaos S. Thomaidis & Pandelis N. Biskas, 2021. "Fundamental Responsiveness in European Electricity Prices," Energies, MDPI, vol. 14(22), pages 1-14, November.
    31. Christian Pape & Arne Vogler & Oliver Woll & Christoph Weber, 2017. "Forecasting the distributions of hourly electricity spot prices," EWL Working Papers 1705, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised May 2017.
    32. Viehmann, Johannes, 2011. "Risk premiums in the German day-ahead Electricity Market," Energy Policy, Elsevier, vol. 39(1), pages 386-394, January.
    33. Carlo Fezzi & Luca Mosetti, 2018. "Size matters: Estimation sample length and electricity price forecasting accuracy," DEM Working Papers 2018/10, Department of Economics and Management.
    34. Huisman, R. & Mahieu, R.J. & Schlichter, F., 2007. "Hedging Exposure to Electricity Price Risk in a Value at Risk Framework," ERIM Report Series Research in Management ERS-2007-013-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    35. Christian Pape & Oliver Woll & Christoph Weber, "undated". "Estimating the value of flexibility from real options: On the accuracy of hybrid electricity price models," EWL Working Papers 1804, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
    36. Thomaidis, Nikolaos S. & Biskas, Pandelis N., 2021. "Fundamental pricing laws and long memory effects in the day-ahead power market," Energy Economics, Elsevier, vol. 100(C).
    37. Mayer, Klaus & Trück, Stefan, 2018. "Electricity markets around the world," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 77-100.
    38. Avci, Ezgi & Ketter, Wolfgang & van Heck, Eric, 2018. "Managing electricity price modeling risk via ensemble forecasting: The case of Turkey," Energy Policy, Elsevier, vol. 123(C), pages 390-403.
    39. Alvarez-Ramirez, Jose & Escarela-Perez, Rafael, 2010. "Time-dependent correlations in electricity markets," Energy Economics, Elsevier, vol. 32(2), pages 269-277, March.
    40. Tashpulatov, Sherzod N., 2013. "Estimating the volatility of electricity prices: The case of the England and Wales wholesale electricity market," Energy Policy, Elsevier, vol. 60(C), pages 81-90.
    41. Karakatsani, Nektaria V. & Bunn, Derek W., 2008. "Forecasting electricity prices: The impact of fundamentals and time-varying coefficients," International Journal of Forecasting, Elsevier, vol. 24(4), pages 764-785.
    42. Uritskaya, Olga Y. & Uritsky, Vadim M., 2015. "Predictability of price movements in deregulated electricity markets," Energy Economics, Elsevier, vol. 49(C), pages 72-81.
    43. Christian Redl & Derek Bunn, 2013. "Determinants of the premium in forward contracts," Journal of Regulatory Economics, Springer, vol. 43(1), pages 90-111, January.
    44. Di Cosmo, Valeria & Malaguzzi Valeri, Laura, 2018. "Wind, storage, interconnection and the cost of electricity generation," Energy Economics, Elsevier, vol. 69(C), pages 1-18.
    45. Zorana Božić & Dušan Dobromirov & Jovana Arsić & Mladen Radišić & Beata Ślusarczyk, 2020. "Power Exchange Prices: Comparison of Volatility in European Markets," Energies, MDPI, vol. 13(21), pages 1-15, October.
    46. Lee, Chien-Chiang & Lee, Jun-De, 2009. "Energy prices, multiple structural breaks, and efficient market hypothesis," Applied Energy, Elsevier, vol. 86(4), pages 466-479, April.
    47. Ilias-Nikiforos Pasidis, 2015. "Congestion by accident? Traffic and accidents in England," ERSA conference papers ersa15p1321, European Regional Science Association.
    48. Thomas Deschatre & Olivier F'eron & Pierre Gruet, 2021. "A survey of electricity spot and futures price models for risk management applications," Papers 2103.16918, arXiv.org, revised Jul 2021.
    49. Huisman, Ronald & Huurman, Christian & Mahieu, Ronald, 2007. "Hourly electricity prices in day-ahead markets," Energy Economics, Elsevier, vol. 29(2), pages 240-248, March.
    50. Erdogdu, Erkan, 2016. "Asymmetric volatility in European day-ahead power markets: A comparative microeconomic analysis," Energy Economics, Elsevier, vol. 56(C), pages 398-409.
    51. Jerzy Rembeza & Grzegorz Przekota, 2022. "Influence of the Industry’s Output on Electricity Prices: Comparison of the Nord Pool and HUPX Markets," Energies, MDPI, vol. 15(16), pages 1-15, August.
    52. Bunn, Derek W. & Chen, Dipeng, 2013. "The forward premium in electricity futures," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 173-186.
    53. Muche, Thomas, 2009. "A real option-based simulation model to evaluate investments in pump storage plants," Energy Policy, Elsevier, vol. 37(11), pages 4851-4862, November.
    54. Palzer, Andreas & Westner, Günther & Madlener, Reinhard, 2013. "Evaluation of different hedging strategies for commodity price risks of industrial cogeneration plants," Energy Policy, Elsevier, vol. 59(C), pages 143-160.
    55. Emmanuel Kipchumba Korir & Jane Aduda & Thomas Mageto, 2020. "Forecasting Electricity Prices Using Ensemble Kalman Filter," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(1), pages 1-2.
    56. Miguel Pinhão & Miguel Fonseca & Ricardo Covas, 2022. "Electricity Spot Price Forecast by Modelling Supply and Demand Curve," Mathematics, MDPI, vol. 10(12), pages 1-20, June.
    57. Gerster, Andreas, 2016. "Negative price spikes at power markets: The role of energy policy," Ruhr Economic Papers 636, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    58. Liebl, Dominik, 2010. "Modeling hourly Electricity Spot Market Prices as non stationary functional times series," MPRA Paper 25017, University Library of Munich, Germany.
    59. Santiago Gall n & Jorge Barrientos, 2021. "Forecasting the Colombian Electricity Spot Price under a Functional Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 67-74.
    60. Grzegorz Marcjasz, 2020. "Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme," Energies, MDPI, vol. 13(18), pages 1-18, September.
    61. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    62. Hye Yoon Song & Gyu Sub Lee & Yong Tae Yoon, 2019. "Optimal Operation of Critical Peak Pricing for an Energy Retailer Considering Balancing Costs," Energies, MDPI, vol. 12(24), pages 1-20, December.
    63. Florian Ziel & Rafal Weron, 2016. "Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate models," HSC Research Reports HSC/16/08, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    64. Andreas Gerster, 2016. "Negative price spikes at power markets: the role of energy policy," Journal of Regulatory Economics, Springer, vol. 50(3), pages 271-289, December.
    65. Qiang Chen & Anush Balian & Mykola Kyzym & Tetiana Salashenko & Inna Gryshova & Viktoriia Khaustova, 2021. "Electricity Markets Instability: Causes of Price Dispersion," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    66. Hilger, Hannes & Witthaut, Dirk & Dahmen, Manuel & Rydin Gorjão, Leonardo & Trebbien, Julius & Cramer, Eike, 2024. "Multivariate scenario generation of day-ahead electricity prices using normalizing flows," Applied Energy, Elsevier, vol. 367(C).
    67. Pasidis, Ilias, 2019. "Congestion by accident? A two-way relationship for highways in England," Journal of Transport Geography, Elsevier, vol. 76(C), pages 301-314.
    68. García-Martos, Carolina & Rodríguez, Julio & Sánchez, María Jesús, 2011. "Forecasting electricity prices and their volatilities using Unobserved Components," Energy Economics, Elsevier, vol. 33(6), pages 1227-1239.
    69. Ikeda, Shin S., 2019. "Illiquidity in the Japan electric power exchange," Journal of Commodity Markets, Elsevier, vol. 14(C), pages 16-39.
    70. Huisman, Ronald & Stet, Cristian, 2022. "The dependence of quantile power prices on supply from renewables," Energy Economics, Elsevier, vol. 105(C).
    71. Yunus Emre Ergemen & Niels Haldrup & Carlos Vladimir Rodríguez-Caballero, 2015. "Common long-range dependence in a panel of hourly Nord Pool electricity prices and loads," CREATES Research Papers 2015-58, Department of Economics and Business Economics, Aarhus University.
    72. Avci-Surucu, Ezgi & Aydogan, A. Kursat & Akgul, Doganbey, 2016. "Bidding structure, market efficiency and persistence in a multi-time tariff setting," Energy Economics, Elsevier, vol. 54(C), pages 77-87.
    73. Russo, Marianna & Bertsch, Valentin, 2020. "A looming revolution: Implications of self-generation for the risk exposure of retailers," Energy Economics, Elsevier, vol. 92(C).
    74. Guthrie, Graeme & Videbeck, Steen, 2007. "Electricity spot price dynamics: Beyond financial models," Energy Policy, Elsevier, vol. 35(11), pages 5614-5621, November.
    75. Serinaldi, Francesco, 2010. "Use and misuse of some Hurst parameter estimators applied to stationary and non-stationary financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(14), pages 2770-2781.
    76. Caldana, Ruggero & Fusai, Gianluca & Roncoroni, Andrea, 2017. "Electricity forward curves with thin granularity: Theory and empirical evidence in the hourly EPEXspot market," European Journal of Operational Research, Elsevier, vol. 261(2), pages 715-734.
    77. Hao Bai & Shihong Miao & Xiaohong Ran & Chang Ye, 2015. "Optimal Dispatch Strategy of a Virtual Power Plant Containing Battery Switch Stations in a Unified Electricity Market," Energies, MDPI, vol. 8(3), pages 1-22, March.
    78. Hirth, Lion & Khanna, Tarun & Ruhnau, Oliver, 2023. "How aggregate electricity demand responds to hourly wholesale price fluctuations," EconStor Preprints 272048, ZBW - Leibniz Information Centre for Economics.
    79. Bordignon, Silvano & Bunn, Derek W. & Lisi, Francesco & Nan, Fany, 2013. "Combining day-ahead forecasts for British electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 88-103.
    80. Štěpán Kratochvíl & Oldřich Starý, 2013. "Predicting the Prices of Electricity Derivatives on the Energy Exchange," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2013(6), pages 65-81.
    81. Marin Cerjan & Marin Matijaš & Marko Delimar, 2014. "Dynamic Hybrid Model for Short-Term Electricity Price Forecasting," Energies, MDPI, vol. 7(5), pages 1-15, May.
    82. Liebl, Dominik, 2013. "Modeling and Forecasting Electricity Spot Prices: A Functional Data Perspective," MPRA Paper 50881, University Library of Munich, Germany.
    83. Chao Luo, 2018. "Engineering and Economic Analysis for Electric Vehicle Charging Infrastructure --- Placement, Pricing, and Market Design," Papers 1808.03897, arXiv.org.
    84. Cramer, Eike & Witthaut, Dirk & Mitsos, Alexander & Dahmen, Manuel, 2023. "Multivariate probabilistic forecasting of intraday electricity prices using normalizing flows," Applied Energy, Elsevier, vol. 346(C).
    85. Moutis, Panayiotis & Skarvelis-Kazakos, Spyros & Brucoli, Maria, 2016. "Decision tree aided planning and energy balancing of planned community microgrids," Applied Energy, Elsevier, vol. 161(C), pages 197-205.
    86. Tselika, Kyriaki & Tselika, Maria & Demetriades, Elias, 2024. "Quantifying the short-term asymmetric effects of renewable energy on the electricity merit-order curve," Energy Economics, Elsevier, vol. 132(C).
    87. Ziel, Florian & Weron, Rafał, 2018. "Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks," Energy Economics, Elsevier, vol. 70(C), pages 396-420.
    88. Jónsson, Tryggvi & Pinson, Pierre & Madsen, Henrik, 2010. "On the market impact of wind energy forecasts," Energy Economics, Elsevier, vol. 32(2), pages 313-320, March.
    89. Fanone, Enzo & Gamba, Andrea & Prokopczuk, Marcel, 2013. "The case of negative day-ahead electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 22-34.
    90. Esmaeili Aliabadi, Danial & Chan, Katrina, 2022. "The emerging threat of artificial intelligence on competition in liberalized electricity markets: A deep Q-network approach," Applied Energy, Elsevier, vol. 325(C).
    91. Härdle, Wolfgang Karl & Trück, Stefan, 2010. "The dynamics of hourly electricity prices," SFB 649 Discussion Papers 2010-013, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    92. Percebois, Jacques & Pommeret, Stanislas, 2019. "Storage cost induced by a large substitution of nuclear by intermittent renewable energies: The French case," Energy Policy, Elsevier, vol. 135(C).
    93. Valeria Di Cosmo & Laura Malaguzzi Valeri, 2016. "Wind, storage, interconnection and the cost of electricity," Working Papers 2016/30, Institut d'Economia de Barcelona (IEB).
    94. Chao Luo & Yih-Fang Huang & Vijay Gupta, 2018. "Dynamic Pricing and Energy Management Strategy for EV Charging Stations under Uncertainties," Papers 1801.02783, arXiv.org.
    95. Bunn, Derek W. & Gianfreda, Angelica, 2010. "Integration and shock transmissions across European electricity forward markets," Energy Economics, Elsevier, vol. 32(2), pages 278-291, March.
    96. Karakatsani, Nektaria V. & Bunn, Derek W., 2008. "Intra-day and regime-switching dynamics in electricity price formation," Energy Economics, Elsevier, vol. 30(4), pages 1776-1797, July.

  21. Lothian, James R. & Koedijk, Kees & Mahieu, Ronald & Campbell, Rachel, 2007. "Irving Fisher, Expectational Errors, and the UIP Puzzle," CEPR Discussion Papers 6294, C.E.P.R. Discussion Papers.

    Cited by:

    1. Macchiarelli, Corrado, 2011. "A VAR analysis for the uncovered interest parity and the ex-ante purchasing power parity: the role of macroeconomic and financial information," Working Paper Series 1404, European Central Bank.
    2. Frankel, Jeffrey & Poonawala, Jumana, 2009. "The Forward Market in Emerging Currencies: Less Biased Than in Major Currencies," Working Paper Series rwp09-023, Harvard University, John F. Kennedy School of Government.
    3. Macchiarelli, Corrado, 2011. "Bond market co-movements, expected inflation and the equilibrium real exchange rate," Working Paper Series 1405, European Central Bank.
    4. Muhammad Omer & Jakob de Haan & Bert Scholtens, 2014. "Testing uncovered interest rate parity using LIBOR," Applied Economics, Taylor & Francis Journals, vol. 46(30), pages 3708-3723, October.
    5. Shehadeh, Ali & Li, Youwei & Moore, Michael, 2016. "The Forward Premium Bias, Carry Trade Return and the Risks of Volatility and Liquidity," MPRA Paper 71709, University Library of Munich, Germany.
    6. Norman C. Miller, 2014. "Exchange Rate Economics," Books, Edward Elgar Publishing, number 14981.
    7. Kumar, Satish, 2019. "Does risk premium help uncover the uncovered interest parity failure?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).

  22. Huisman, R. & Mahieu, R.J. & Mulder, A., 2007. "Do Exchange Rates Move in Line With Uncovered Interest Parity?," ERIM Report Series Research in Management ERS-2007-012-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Li, Dandan & Ghoshray, Atanu & Morley, Bruce, 2012. "Measuring the risk premium in uncovered interest parity using the component GARCH-M model," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 167-176.
    2. Huisman, R. & Mahieu, R.J. & Schlichter, F., 2007. "Hedging Exposure to Electricity Price Risk in a Value at Risk Framework," ERIM Report Series Research in Management ERS-2007-013-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

  23. Campbell-Pownall, R.A.J. & Koedijk, C.G. & Lothian, J.R. & Mahieu, R.J., 2007. "Irving Fisher and the UIP Puzzle: Meeting the Expectations a Century Later," ERIM Report Series Research in Management ERS-2007-088-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Mouhamadou Sy, 2012. "Exchange Rate Regimes, Capital Controls and the Pattern of Speculative Capital Flows," Working Papers halshs-00684591, HAL.
    2. Martin Mandel & Jan Vejmělek, 2021. "Analýza vzájemných vztahů v nekryté úrokové paritě (příklad měnového páru CZK/EUR) [Analysis of Relations in Uncovered Interest Rate Parity: Example of CZK/EUR Exchange Rate]," Politická ekonomie, Prague University of Economics and Business, vol. 2021(3), pages 340-359.
    3. Mouhamadou Sy, 2012. "Exchange Rate Regimes, Capital Controls and the Pattern of Speculative Capital Flows," PSE Working Papers halshs-00684591, HAL.

  24. Moerman, G.A. & Mahieu, R.J. & Koedijk, C.G., 2004. "Financial Integration Through Benchmarks: The European Banking Sector," ERIM Report Series Research in Management ERS-2004-110-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Dahl, Drew & Shrieves, Ronald E. & Spivey, Michael F., 2008. "Convergence in the activities of European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(2), pages 161-175, April.

  25. Tims, B. & Mahieu, R.J., 2003. "A Range-Based Multivariate Model for Exchange Rate Volatility," ERIM Report Series Research in Management ERS-2003-022-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Broto, Carmen, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Michel Beine & Charles S. Bos & Sébastien Laurent, 2007. "The Impact of Central Bank FX Interventions on Currency Components," Journal of Financial Econometrics, Oxford University Press, vol. 5(1), pages 154-183.
    3. Hallerbach, W.G.P.M. & Spronk, J., 2003. "A Multidimensional Framework for Financial-Economic Decisions," ERIM Report Series Research in Management ERS-2003-021-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
    5. Dellaportas, Petros & Titsias, Michalis K. & Petrova, Katerina & Plataniotis, Anastasios, 2023. "Scalable inference for a full multivariate stochastic volatility model," Journal of Econometrics, Elsevier, vol. 232(2), pages 501-520.

  26. Huisman, R. & Mahieu, R.J., 2001. "Regime Jumps in Electricity Prices," ERIM Report Series Research in Management ERS-2001-48-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Pérez Odeh, Rodrigo & Watts, David & Negrete-Pincetic, Matías, 2018. "Portfolio applications in electricity markets review: Private investor and manager perspective trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 192-204.
    2. Silvana Musti & Viviana Fanelli, 2008. "Modelling electricity forward curve dynamics in the Italian market," Quaderni DSEMS 20-2008, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    3. Clements, A.E. & Herrera, R. & Hurn, A.S., 2015. "Modelling interregional links in electricity price spikes," Energy Economics, Elsevier, vol. 51(C), pages 383-393.
    4. Matteo Manera & Massimiliano Serati & Michele Plotegher, 2008. "Modeling Electricity Prices: From the State of the Art to a Draft of a New Proposal," Working Papers 2008.9, Fondazione Eni Enrico Mattei.
    5. Trottier, Denis-Alexandre & Lai, Van Son & Godin, Frédéric, 2019. "A characterization of CAT bond performance indices," Finance Research Letters, Elsevier, vol. 28(C), pages 431-437.
    6. Yannick LE PEN & Benoît SEVI, 2008. "Volatility transmission and volatility impulse response functions in European electricity forward markets," Cahiers du CREDEN (CREDEN Working Papers) 08.09.77, CREDEN (Centre de Recherche en Economie et Droit de l'Energie), Faculty of Economics, University of Montpellier 1.
    7. Gianfreda, Angelica & Maranzano, Paolo & Parisio, Lucia & Pelagatti, Matteo, 2023. "Testing for integration and cointegration when time series are observed with noise," Economic Modelling, Elsevier, vol. 125(C).
    8. Joanna Janczura & Rafal Weron, 2012. "Inference for Markov-regime switching models of electricity spot prices," HSC Research Reports HSC/12/01, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    9. Machin, Stephen & Marie, Olivier & Vujic, Suncica, 2012. "Youth Crime and Education Expansion," IZA Discussion Papers 6582, Institute of Labor Economics (IZA).
    10. Huisman, R. & Mahieu, R.J. & Schlichter, F., 2009. "Electricity portfolio management : Optimal peak/off-peak allocations," Other publications TiSEM f880b2e6-c56c-483c-9334-9, Tilburg University, School of Economics and Management.
    11. Mari, Carlo & Cananà, Lucianna, 2012. "Markov switching of the electricity supply curve and power prices dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1481-1488.
    12. Fanelli, Viviana & Maddalena, Lucia & Musti, Silvana, 2016. "Modelling electricity futures prices using seasonal path-dependent volatility," Applied Energy, Elsevier, vol. 173(C), pages 92-102.
    13. Alexander Boogert & Dominique Dupont, 2007. "When Supply Meets Demand: The Case of Hourly Spot Electricity Prices," Birkbeck Working Papers in Economics and Finance 0707, Birkbeck, Department of Economics, Mathematics & Statistics.
    14. Ribeiro Scarcioffolo, Alexandre & Finotti Cordeiro Perobelli, Fernanda & Baumgratz Chimeli, Ariaster, 2018. "Counterfactual Comparisons of Investment Options for Wind Power and Agricultural Production in the United States: Lessons from Northern Ohio," TD NEREUS 1-2018, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    15. Weron, Rafal, 2008. "Market price of risk implied by Asian-style electricity options and futures," Energy Economics, Elsevier, vol. 30(3), pages 1098-1115, May.
    16. Brix, Anne Floor & Lunde, Asger & Wei, Wei, 2018. "A generalized Schwartz model for energy spot prices — Estimation using a particle MCMC method," Energy Economics, Elsevier, vol. 72(C), pages 560-582.
    17. Deschatre, Thomas & Féron, Olivier & Gruet, Pierre, 2021. "A survey of electricity spot and futures price models for risk management applications," Energy Economics, Elsevier, vol. 102(C).
    18. Alain Monfort & Olivier Féron, 2011. "Joint Econometric Modeling of Spot Electricity Prices, Forwards and Options," Working Papers 2011-12, Center for Research in Economics and Statistics.
    19. Weron, Rafal & Misiorek, Adam, 2008. "Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models," MPRA Paper 10428, University Library of Munich, Germany.
    20. Díaz, Guzmán & Moreno, Blanca & Coto, José & Gómez-Aleixandre, Javier, 2015. "Valuation of wind power distributed generation by using Longstaff–Schwartz option pricing method," Applied Energy, Elsevier, vol. 145(C), pages 223-233.
    21. Croonenbroeck, Carsten & Hüttel, Silke, 2017. "Quantifying the economic efficiency impact of inaccurate renewable energy price forecasts," Energy, Elsevier, vol. 134(C), pages 767-774.
    22. Kyritsis, Evangelos & Andersson, Jonas & Serletis, Apostolos, 2017. "Electricity prices, large-scale renewable integration, and policy implications," Energy Policy, Elsevier, vol. 101(C), pages 550-560.
    23. Angelica Gianfreda & Luigi Grossi, 2011. "Forecasting Italian Electricity Zonal Prices with Exogenous Variables," Working Papers 01/2011, University of Verona, Department of Economics.
    24. Neil A. Wilmot, 2019. "Heavy Metals: Might as Well Jump," IJFS, MDPI, vol. 7(2), pages 1-14, June.
    25. Sheybanivaziri, Samaneh & Le Dréau, Jérôme & Kazmi, Hussain, 2024. "Forecasting price spikes in day-ahead electricity markets: techniques, challenges, and the road ahead," Discussion Papers 2024/1, Norwegian School of Economics, Department of Business and Management Science.
    26. Carlo Fezzi & Derek Bunn, 2010. "Structural Analysis of Electricity Demand and Supply Interactions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 827-856, December.
    27. Rafał Weron, 2009. "Heavy-tails and regime-switching in electricity prices," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 69(3), pages 457-473, July.
    28. Nomikos, Nikos K. & Soldatos, Orestes A., 2010. "Modelling short and long-term risks in power markets: Empirical evidence from Nord Pool," Energy Policy, Elsevier, vol. 38(10), pages 5671-5683, October.
    29. Andr s Oviedo-G mez & Sandra Milena Londo o-Hern ndez & Diego Fernando Manotas-Duque, 2021. "Electricity Price Fundamentals in Hydrothermal Power Generation Markets Using Machine Learning and Quantile Regression Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 66-77.
    30. Sirin, Selahattin Murat & Camadan, Ercument & Erten, Ibrahim Etem & Zhang, Alex Hongliang, 2023. "Market failure or politics? Understanding the motives behind regulatory actions to address surging electricity prices," Energy Policy, Elsevier, vol. 180(C).
    31. De Sanctis, Angela & Mari, Carlo, 2007. "Modelling spikes in electricity markets using excitable dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 457-467.
    32. Rafal Weron, 2005. "Market price of risk implied by Asian-style electricity options," Econometrics 0502003, University Library of Munich, Germany.
    33. Radu Porumb & Petru Postolache & George Serițan & Ramona Vatu & Oana Ceaki, 2013. "Load profiles analysis for electricity market," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 1(2), pages 30-38, December.
    34. Christensen, T.M. & Hurn, A.S. & Lindsay, K.A., 2012. "Forecasting spikes in electricity prices," International Journal of Forecasting, Elsevier, vol. 28(2), pages 400-411.
    35. Mawuli Segnon & Chi Keung Lau & Bernd Wilfling & Rangan Gupta, 2017. "Are multifractal processes suited to forecasting electricity price volatility? Evidence from Australian intraday data," CQE Working Papers 6117, Center for Quantitative Economics (CQE), University of Muenster.
    36. Sandro Sapio, 2012. "Modeling the distribution of day-ahead electricity returns: a comparison," Quantitative Finance, Taylor & Francis Journals, vol. 12(12), pages 1935-1949, December.
    37. Frömmel, Michael & Han, Xing & Kratochvil, Stepan, 2014. "Modeling the daily electricity price volatility with realized measures," Energy Economics, Elsevier, vol. 44(C), pages 492-502.
    38. Jun Maekawa & Koji Shimada, 2019. "A Speculative Trading Model for the Electricity Market: Based on Japan Electric Power Exchange," Energies, MDPI, vol. 12(15), pages 1-15, July.
    39. Mari, Carlo, 2006. "Regime-switching characterization of electricity prices dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 371(2), pages 552-564.
    40. Borovkova, Svetlana & Schmeck, Maren Diane, 2017. "Electricity price modeling with stochastic time change," Energy Economics, Elsevier, vol. 63(C), pages 51-65.
    41. Matteo Pelagatti & Bruno Bosco & Lucia Parisio & Fabio Baldi, 2007. "A Robust Multivariate Long Run Analysis of European Electricity Prices," Working Papers 2007.103, Fondazione Eni Enrico Mattei.
    42. Zhang, Lei & Li, Yaoyu, 2017. "Regime-switching based vehicle-to-building operation against electricity price spikes," Energy Economics, Elsevier, vol. 66(C), pages 1-8.
    43. Jorge Barrientos Marín & Mónica Toro Martínez, 2017. "Análisis de los fundamentales del precio de la energía eléctrica: evidencia empírica para Colombia," Revista de Economía del Caribe 17148, Universidad del Norte.
    44. Janczura, Joanna & Weron, Rafal, 2009. "Regime-switching models for electricity spot prices: Introducing heteroskedastic base regime dynamics and shifted spike distributions," MPRA Paper 18784, University Library of Munich, Germany.
    45. Eichler, M. & Türk, D., 2013. "Fitting semiparametric Markov regime-switching models to electricity spot prices," Energy Economics, Elsevier, vol. 36(C), pages 614-624.
    46. Georg Zachmann, 2007. "A Markov Switching Model of the Merit Order to Compare British and German Price Formation," Discussion Papers of DIW Berlin 714, DIW Berlin, German Institute for Economic Research.
    47. Chevallier Julien & Goutte Stéphane, 2017. "On the estimation of regime-switching Lévy models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(1), pages 3-29, February.
    48. Luigi Grossi & Fany Nan, 2017. "Forecasting electricity prices through robust nonlinear models," Working Papers 06/2017, University of Verona, Department of Economics.
    49. Markus Burger & Bernhard Klar & Alfred Muller & Gero Schindlmayr, 2004. "A spot market model for pricing derivatives in electricity markets," Quantitative Finance, Taylor & Francis Journals, vol. 4(1), pages 109-122.
    50. de Menezes, Lilian M. & Houllier, Melanie A. & Tamvakis, Michael, 2016. "Time-varying convergence in European electricity spot markets and their association with carbon and fuel prices," Energy Policy, Elsevier, vol. 88(C), pages 613-627.
    51. Christian Pape & Oliver Woll & Christoph Weber, "undated". "Estimating the value of flexibility from real options: On the accuracy of hybrid electricity price models," EWL Working Papers 1804, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
    52. Mason, Charles F. & A. Wilmot, Neil, 2014. "Jump processes in natural gas markets," Energy Economics, Elsevier, vol. 46(S1), pages 69-79.
    53. Mayer, Klaus & Trück, Stefan, 2018. "Electricity markets around the world," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 77-100.
    54. Janina Ketterer, 2012. "The Impact of Wind Power Generation on the Electricity Price in Germany," ifo Working Paper Series 143, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    55. Emanuele Fabbiani & Andrea Marziali & Giuseppe De Nicolao, 2018. "Fast calibration of two-factor models for energy option pricing," Papers 1809.03941, arXiv.org, revised Dec 2020.
    56. Theodore Panagiotidis & Emilie Rutledge, 2004. "Oil and gas market in the UK: evidence from a cointegration approach," Discussion Paper Series 2004_18, Department of Economics, Loughborough University, revised Nov 2004.
    57. Apergis, Nicholas & Gozgor, Giray & Lau, Chi Keung Marco & Wang, Shixuan, 2020. "Dependence structure in the Australian electricity markets: New evidence from regular vine copulae," Energy Economics, Elsevier, vol. 90(C).
    58. Diteboho Xaba & Ntebogang Dinah Moroke & Ishmael Rapoo, 2019. "Modeling Stock Market Returns of BRICS with a Markov-Switching Dynamic Regression Model," Journal of Economics and Behavioral Studies, AMH International, vol. 11(3), pages 10-22.
    59. Pawel Maryniak & Stefan Trueck & Rafal Weron, 2016. "Carbon pricing, forward risk premiums and pass-through rates in Australian electricity futures markets," HSC Research Reports HSC/16/10, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    60. Rafal Weron & Adam Misiorek, 2005. "Forecasting Spot Electricity Prices With Time Series Models," Econometrics 0504001, University Library of Munich, Germany.
    61. Michael Stanley Smith & Thomas S. Shively, 2018. "Econometric Modeling of Regional Electricity Spot Prices in the Australian Market," Papers 1804.08218, arXiv.org.
    62. Kosater, Peter, 2006. "On the impact of weather on German hourly power prices," Discussion Papers in Econometrics and Statistics 1/06, University of Cologne, Institute of Econometrics and Statistics.
    63. Moutinho, Victor & Vieira, Joel & Carrizo Moreira, António, 2011. "The crucial relationship among energy commodity prices: Evidence from the Spanish electricity market," Energy Policy, Elsevier, vol. 39(10), pages 5898-5908, October.
    64. Higgs, Helen & Worthington, Andrew, 2008. "Stochastic price modeling of high volatility, mean-reverting, spike-prone commodities: The Australian wholesale spot electricity market," Energy Economics, Elsevier, vol. 30(6), pages 3172-3185, November.
    65. Martin de Lagarde, Cyril & Lantz, Frédéric, 2018. "How renewable production depresses electricity prices: Evidence from the German market," Energy Policy, Elsevier, vol. 117(C), pages 263-277.
    66. T M Christensen & A S Hurn & K A Lindsay, 2008. "It never rains but it pours: Modelling the persistence of spikes in electricity prices," NCER Working Paper Series 25, National Centre for Econometric Research.
    67. B. Ricky Rambharat & Anthony E. Brockwell & Duane J. Seppi, 2005. "A threshold autoregressive model for wholesale electricity prices," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(2), pages 287-299, April.
    68. Michael Bierbrauer & Stefan Trueck & Rafal Weron, 2005. "Modeling electricity prices with regime switching models," Econometrics 0502005, University Library of Munich, Germany.
    69. Cyril Martin de Lagarde & Frédéric Lantz, 2017. "Impact of Variable Renewable Production on Electriciy Prices in Germany : A Markov Switching Model," Working Papers hal-03187020, HAL.
    70. Emanuel Canelas & Tânia Pinto-Varela & Bartosz Sawik, 2020. "Electricity Portfolio Optimization for Large Consumers: Iberian Electricity Market Case Study," Energies, MDPI, vol. 13(9), pages 1-21, May.
    71. Thomas Deschatre & Olivier F'eron & Pierre Gruet, 2021. "A survey of electricity spot and futures price models for risk management applications," Papers 2103.16918, arXiv.org, revised Jul 2021.
    72. Huisman, Ronald & Huurman, Christian & Mahieu, Ronald, 2007. "Hourly electricity prices in day-ahead markets," Energy Economics, Elsevier, vol. 29(2), pages 240-248, March.
    73. Georgios Galyfianakis & Evagelos Drimbetas & Nikolaos Sariannidis, 2016. "Modeling Energy Prices with a Markov-Switching dynamic regression model: 2005-2015," Bulletin of Applied Economics, Risk Market Journals, vol. 3(1), pages 11-28.
    74. Michel Culot & Valérie Goffin & Steve Lawford & Sébastien de Meten & Yves Smeers, 2013. "Practical stochastic modelling of electricity prices," Post-Print hal-01021603, HAL.
    75. Hung Xuan Do & Rabindra Nepal & Son Duy Pham & Tooraj Jamasb, 2023. "Electricity Market Crisis in Europe and Cross Border Price Effects: A Quantile Return Connectedness Analysis," CAMA Working Papers 2023-46, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    76. Rudiger Kiesel & Gero Schindlmayr & Reik Borger, 2009. "A two-factor model for the electricity forward market," Quantitative Finance, Taylor & Francis Journals, vol. 9(3), pages 279-287.
    77. Godin, Frédéric & Ibrahim, Zinatu, 2021. "An analysis of electricity congestion price patterns in North America," Energy Economics, Elsevier, vol. 102(C).
    78. Farshid Mehrdoust & Idin Noorani, 2023. "Valuation of Spark-Spread Option Written on Electricity and Gas Forward Contracts Under Two-Factor Models with Non-Gaussian Lévy Processes," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 807-853, February.
    79. Carlo Mari & Cristiano Baldassari, 2021. "Ensemble Methods for Jump-Diffusion Models of Power Prices," Energies, MDPI, vol. 14(8), pages 1-17, April.
    80. Karakatsani Nektaria V & Bunn Derek W., 2010. "Fundamental and Behavioural Drivers of Electricity Price Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-42, September.
    81. Erdogdu, Erkan, 2016. "Asymmetric volatility in European day-ahead power markets: A comparative microeconomic analysis," Energy Economics, Elsevier, vol. 56(C), pages 398-409.
    82. Adam Clements & Joanne Fuller & Stan Hurn, 2013. "Semi-parametric Forecasting of Spikes in Electricity Prices," The Economic Record, The Economic Society of Australia, vol. 89(287), pages 508-521, December.
    83. Sarıca, Kemal & Kumbaroğlu, Gürkan & Or, Ilhan, 2012. "Modeling and analysis of a decentralized electricity market: An integrated simulation/optimization approach," Energy, Elsevier, vol. 44(1), pages 830-852.
    84. Bruno Bosco & Lucia Parisio & Matteo Pelagatti & Fabio Baldi, 2010. "Long-run relations in european electricity prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 805-832.
    85. Tomasz Rokicki & Piotr Bórawski & Barbara Gradziuk & Piotr Gradziuk & Aldona Mrówczyńska-Kamińska & Joanna Kozak & Danuta Jolanta Guzal-Dec & Kamil Wojtczuk, 2021. "Differentiation and Changes of Household Electricity Prices in EU Countries," Energies, MDPI, vol. 14(21), pages 1-21, October.
    86. Park, Haesun & Mjelde, James W. & Bessler, David A., 2006. "Price dynamics among U.S. electricity spot markets," Energy Economics, Elsevier, vol. 28(1), pages 81-101, January.
    87. Janczura, Joanna & Trueck, Stefan & Weron, Rafal & Wolff, Rodney, 2012. "Identifying spikes and seasonal components in electricity spot price data: A guide to robust modeling," MPRA Paper 39277, University Library of Munich, Germany.
    88. Apergis, Nicholas & Pan, Wei-Fong & Reade, James & Wang, Shixuan, 2023. "Modelling Australian electricity prices using indicator saturation," Energy Economics, Elsevier, vol. 120(C).
    89. Wen, Le & Suomalainen, Kiti & Sharp, Basil & Yi, Ming & Sheng, Mingyue Selena, 2022. "Impact of wind-hydro dynamics on electricity price: A seasonal spatial econometric analysis," Energy, Elsevier, vol. 238(PC).
    90. Haldrup; Niels & Morten Oerregaard Nielsen, 2005. "Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices," Economics Working Papers 2005-18, Department of Economics and Business Economics, Aarhus University.
    91. Gerster, Andreas, 2016. "Negative price spikes at power markets: The role of energy policy," Ruhr Economic Papers 636, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    92. Kosater, Peter & Mosler, Karl, 2006. "Can Markov regime-switching models improve power-price forecasts? Evidence from German daily power prices," Applied Energy, Elsevier, vol. 83(9), pages 943-958, September.
    93. Dias, José G. & Ramos, Sofia B., 2014. "Energy price dynamics in the U.S. market. Insights from a heterogeneous multi-regime framework," Energy, Elsevier, vol. 68(C), pages 327-336.
    94. Joanna Janczura, 2014. "Pricing electricity derivatives within a Markov regime-switching model: a risk premium approach," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 79(1), pages 1-30, February.
    95. Jorge Barrientos Marín & Mónica Toro Martínez, 2016. "Sobre Los Fundamentales Del Precio De La Energía Eléctrica: Evidencia Empírica Para Colombia," Grupo Microeconomía Aplicada 74, Universidad de Antioquia, Departamento de Economía.
    96. Bowden, Nicholas & Payne, James E., 2008. "Short term forecasting of electricity prices for MISO hubs: Evidence from ARIMA-EGARCH models," Energy Economics, Elsevier, vol. 30(6), pages 3186-3197, November.
    97. Mount, Timothy D. & Ning, Yumei & Cai, Xiaobin, 2006. "Predicting price spikes in electricity markets using a regime-switching model with time-varying parameters," Energy Economics, Elsevier, vol. 28(1), pages 62-80, January.
    98. Misiorek Adam & Trueck Stefan & Weron Rafal, 2006. "Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(3), pages 1-36, September.
    99. Mari, Carlo & Tondini, Daniela, 2010. "Regime switches induced by supply–demand equilibrium: a model for power-price dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4819-4827.
    100. Cerqueti, Roy & Falbo, Paolo & Guastaroba, Gianfranco & Pelizzari, Cristian, 2013. "A Tabu Search heuristic procedure in Markov chain bootstrapping," European Journal of Operational Research, Elsevier, vol. 227(2), pages 367-384.
    101. Krystyna Gomółka & Piotr Kasprzak, 2022. "Household Ability of Expenditures on Electricity and Energy Resources in the Countries That Joined the EU after 2004," Energies, MDPI, vol. 15(9), pages 1-21, April.
    102. Andreas Gerster, 2016. "Negative price spikes at power markets: the role of energy policy," Journal of Regulatory Economics, Springer, vol. 50(3), pages 271-289, December.
    103. Luigi Grossi & Fany Nan, 2018. "The influence of renewables on electricity price forecasting: a robust approach," Working Papers 2018/10, Institut d'Economia de Barcelona (IEB).
    104. McInerney, Celine & Bunn, Derek, 2013. "Valuation anomalies for interconnector transmission rights," Energy Policy, Elsevier, vol. 55(C), pages 565-578.
    105. Fernandes, Mário Correia & Dias, José Carlos & Nunes, João Pedro Vidal, 2021. "Modeling energy prices under energy transition: A novel stochastic-copula approach," Economic Modelling, Elsevier, vol. 105(C).
    106. Roland Langrock & Timo Adam & Vianey Leos‐Barajas & Sina Mews & David L. Miller & Yannis P. Papastamatiou, 2018. "Spline‐based nonparametric inference in general state‐switching models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(3), pages 179-200, August.
    107. Zachmann, Georg, 2013. "A stochastic fuel switching model for electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 5-13.
    108. Elias, R.S. & Wahab, M.I.M. & Fang, L., 2014. "A comparison of regime-switching temperature modeling approaches for applications in weather derivatives," European Journal of Operational Research, Elsevier, vol. 232(3), pages 549-560.
    109. Halkos, George & Tzirivis, Apostolos, 2018. "Effective energy commodities’ risk management: Econometric modeling of price volatility," MPRA Paper 90781, University Library of Munich, Germany.
    110. Jorge Barrientos Marin & Elkin Tabares Orozco & Esteban Velilla, 2018. "Forecasting electricity price in Colombia: A comparison between Neural Network, ARMA process and Hybrid Models," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 97-106.
    111. Ethem Çanakoğlu & Esra Adıyeke, 2020. "Comparison of Electricity Spot Price Modelling and Risk Management Applications," Energies, MDPI, vol. 13(18), pages 1-22, September.
    112. Eichler, M. & Türk, D.D.T., 2012. "Fitting semiparametric Markov regime-switching models to electricity spot prices," Research Memorandum 035, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    113. Bierbrauer, Michael & Menn, Christian & Rachev, Svetlozar T. & Truck, Stefan, 2007. "Spot and derivative pricing in the EEX power market," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3462-3485, November.
    114. Engelen, Steve & Norouzzadeh, Payam & Dullaert, Wout & Rahmani, Bahareh, 2011. "Multifractal features of spot rates in the Liquid Petroleum Gas shipping market," Energy Economics, Elsevier, vol. 33(1), pages 88-98, January.
    115. Eduardo Martínez Chombo, 2005. "Decomposing electricity prices with jumps," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 20(1), pages 27-52.
    116. Carlo Lucheroni, 2012. "A hybrid SETARX model for spikes in tight electricity markets," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 22(1), pages 13-49.
    117. Joanna Janczura & Rafał Weron, 2012. "Efficient estimation of Markov regime-switching models: An application to electricity spot prices," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(3), pages 385-407, July.
    118. Hellström, Jörgen & Lundgren, Jens & Yu, Haishan, 2012. "Why do electricity prices jump? Empirical evidence from the Nordic electricity market," Energy Economics, Elsevier, vol. 34(6), pages 1774-1781.
    119. Russo, Marianna & Bertsch, Valentin, 2020. "A looming revolution: Implications of self-generation for the risk exposure of retailers," Energy Economics, Elsevier, vol. 92(C).
    120. Islyaev, Suren & Date, Paresh, 2015. "Electricity futures price models: Calibration and forecasting," European Journal of Operational Research, Elsevier, vol. 247(1), pages 144-154.
    121. Janczura, Joanna & Weron, Rafal, 2010. "An empirical comparison of alternate regime-switching models or electricity spot prices," MPRA Paper 20546, University Library of Munich, Germany.
    122. Dias, José G. & Ramos, Sofia B., 2014. "Heterogeneous price dynamics in U.S. regional electricity markets," Energy Economics, Elsevier, vol. 46(C), pages 453-463.
    123. Rafal Weron, 2006. "Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach," HSC Books, Hugo Steinhaus Center, Wroclaw University of Science and Technology, number hsbook0601, December.
    124. Pape, Christian & Hagemann, Simon & Weber, Christoph, 2016. "Are fundamentals enough? Explaining price variations in the German day-ahead and intraday power market," Energy Economics, Elsevier, vol. 54(C), pages 376-387.
    125. Carlo Mari & Emiliano Mari, 2021. "Gaussian clustering and jump-diffusion models of electricity prices: a deep learning analysis," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1039-1062, December.
    126. Xiong, Heng & Mamon, Rogemar, 2019. "A higher-order Markov chain-modulated model for electricity spot-price dynamics," Applied Energy, Elsevier, vol. 233, pages 495-515.
    127. Benz, Eva & Trück, Stefan, 2009. "Modeling the price dynamics of CO2 emission allowances," Energy Economics, Elsevier, vol. 31(1), pages 4-15, January.
    128. Per B. Solibakke, 2022. "Step‐ahead spot price densities using daily synchronously reported prices and wind forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 17-42, January.
    129. Daglish, Toby & de Bragança, Gabriel Godofredo Fiuza & Owen, Sally & Romano, Teresa, 2021. "Pricing effects of the electricity market reform in Brazil," Energy Economics, Elsevier, vol. 97(C).
    130. Grossi, Luigi & Nan, Fany, 2019. "Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 305-318.
    131. Erlwein, Christina & Benth, Fred Espen & Mamon, Rogemar, 2010. "HMM filtering and parameter estimation of an electricity spot price model," Energy Economics, Elsevier, vol. 32(5), pages 1034-1043, September.
    132. Panagiotidis, Theodore & Rutledge, Emilie, 2007. "Oil and gas markets in the UK: Evidence from a cointegrating approach," Energy Economics, Elsevier, vol. 29(2), pages 329-347, March.
    133. Sapio, Alessandro, 2015. "The effects of renewables in space and time: A regime switching model of the Italian power price," Energy Policy, Elsevier, vol. 85(C), pages 487-499.
    134. Adam E. Clements & A. Stan Hurn & Zili Li, 2017. "The Effect of Transmission Constraints on Electricity Prices," The Energy Journal, , vol. 38(4), pages 145-163, July.
    135. González-Pedraz, Carlos & Moreno, Manuel & Peña, Juan Ignacio, 2014. "Tail risk in energy portfolios," Energy Economics, Elsevier, vol. 46(C), pages 422-434.
    136. Bordignon, Silvano & Bunn, Derek W. & Lisi, Francesco & Nan, Fany, 2013. "Combining day-ahead forecasts for British electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 88-103.
    137. Kalantzis, Fotis G. & Milonas, Nikolaos T., 2013. "Analyzing the impact of futures trading on spot price volatility: Evidence from the spot electricity market in France and Germany," Energy Economics, Elsevier, vol. 36(C), pages 454-463.
    138. Weron, Rafal & Janczura, Joanna, 2010. "Efficient estimation of Markov regime-switching models: An application to electricity wholesale market prices," MPRA Paper 26628, University Library of Munich, Germany.
    139. Trueck, Stefan & Weron, Rafal & Wolff, Rodney, 2007. "Outlier Treatment and Robust Approaches for Modeling Electricity Spot Prices," MPRA Paper 4711, University Library of Munich, Germany.
    140. Roy Cerqueti & Paolo Falbo & Cristian Pelizzari & Federica Ricca & Andrea Scozzari, 2017. "A mixed integer linear program to compress transition probability matrices in Markov chain bootstrapping," Annals of Operations Research, Springer, vol. 248(1), pages 163-187, January.
    141. Lundgren, Jens & Hellström, Jörgen & Rudholm, Niklas, 2008. "Multinational Electricity Market Integration and Electricity Price Dynamics," HUI Working Papers 16, HUI Research.
    142. Bublitz, Andreas & Keles, Dogan & Fichtner, Wolf, 2017. "An analysis of the decline of electricity spot prices in Europe: Who is to blame?," Energy Policy, Elsevier, vol. 107(C), pages 323-336.
    143. Ciarreta Antuñano, Aitor & Zárraga Alonso, Ainhoa, 2012. "Analysis of volatility transmissions in integrated and interconnected markets: The case of the Iberian and French markets," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    144. Crespo Cuaresma, Jesús & Hlouskova, Jaroslava & Kossmeier, Stephan & Obersteiner, Michael, 2004. "Forecasting electricity spot-prices using linear univariate time-series models," Applied Energy, Elsevier, vol. 77(1), pages 87-106, January.
    145. Ruoyang Li & Alva Svoboda & Shmuel Oren, 2015. "Efficiency impact of convergence bidding in the california electricity market," Journal of Regulatory Economics, Springer, vol. 48(3), pages 245-284, December.
    146. Shaw, Charles, 2018. "Regime-Switching And Levy Jump Dynamics In Option-Adjusted Spreads," MPRA Paper 94154, University Library of Munich, Germany, revised 27 May 2019.
    147. St'ephane Goutte & Nadia Oudjane & Francesco Russo, 2009. "Variance Optimal Hedging for continuous time processes with independent increments and applications," Papers 0912.0372, arXiv.org.
    148. Gaurav Kapoor & Nuttanan Wichitaksorn & Wenjun Zhang, 2023. "Analyzing and forecasting electricity price using regime‐switching models: The case of New Zealand market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2011-2026, December.
    149. Kim, Jae Ho & Powell, Warren B., 2011. "An hour-ahead prediction model for heavy-tailed spot prices," Energy Economics, Elsevier, vol. 33(6), pages 1252-1266.
    150. Jan Seifert & Marliese Uhrig-Homburg, 2007. "Modelling jumps in electricity prices: theory and empirical evidence," Review of Derivatives Research, Springer, vol. 10(1), pages 59-85, January.
    151. Rubin, Ofir David, 2010. "Equilibrium pricing in electricity markets with wind power," ISU General Staff Papers 201001010800002361, Iowa State University, Department of Economics.
    152. Fanone, Enzo & Gamba, Andrea & Prokopczuk, Marcel, 2013. "The case of negative day-ahead electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 22-34.
    153. Xun Li & Zhenyu Wu, 2006. "A semi-analytic method for valuing high-dimensional options on the maximum and minimum of multiple assets," Annals of Finance, Springer, vol. 2(2), pages 179-205, March.
    154. Andrés Oviedo-Gómez & Sandra Milena Londoño-Hernández & Diego Fernando Manotas-Duque, 2021. "Effects of the COVID-19 Pandemic on the Spot Price of Colombian Electricity," Energies, MDPI, vol. 14(21), pages 1-14, October.
    155. Lingohr, Daniel & Müller, Gernot, 2019. "Stochastic modeling of intraday photovoltaic power generation," Energy Economics, Elsevier, vol. 81(C), pages 175-186.
    156. Girum Dagnachew Abate & Niels Haldrup, 2017. "Space-time modeling of electricity spot prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    157. Apergis, Nicholas & Gozgor, Giray & Lau, Chi Keung Marco & Wang, Shixuan, 2019. "Decoding the Australian electricity market: New evidence from three-regime hidden semi-Markov model," Energy Economics, Elsevier, vol. 78(C), pages 129-142.
    158. Joanna Janczura, 2012. "Pricing electricity derivatives within a Markov regime-switching model," Papers 1203.5442, arXiv.org.
    159. Karakatsani, Nektaria V. & Bunn, Derek W., 2008. "Intra-day and regime-switching dynamics in electricity price formation," Energy Economics, Elsevier, vol. 30(4), pages 1776-1797, July.
    160. Sapio, Alessandro & Spagnolo, Nicola, 2016. "Price regimes in an energy island: Tacit collusion vs. cost and network explanations," Energy Economics, Elsevier, vol. 55(C), pages 157-172.

  27. Bos, C.S. & Mahieu, R.J. & van Dijk, H.K., 2000. "On the variation of hedging decisions in daily currency risk management," Econometric Institute Research Papers EI 2000-20/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Broto, Carmen, 2003. "Unobserved component models with asymmetric conditional variances," DES - Working Papers. Statistics and Econometrics. WS ws032003, Universidad Carlos III de Madrid. Departamento de Estadística.

  28. Charles S. Bos & Ronald J. Mahieu & Herman K. van Dijk, 2000. "Daily Exchange Rate Behaviour and Hedging of Currency Risk," Econometric Society World Congress 2000 Contributed Papers 0504, Econometric Society.

    Cited by:

    1. Bos, C.S. & Mahieu, R.J. & van Dijk, H.K., 2000. "On the variation of hedging decisions in daily currency risk management," Econometric Institute Research Papers EI 2000-20/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Thomas M. Trimbur, 2006. "Detrending economic time series: a Bayesian generalization of the Hodrick-Prescott filter," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(4), pages 247-273.
    3. Vasco Curdia & Marco Del Negro & Daniel L. Greenwald, 2012. "Rare shocks, great recessions," Staff Reports 585, Federal Reserve Bank of New York.
    4. Charles S. Bos & Neil Shephard, 2004. "Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space Form," Economics Papers 2004-W02, Economics Group, Nuffield College, University of Oxford.
    5. HOOGERHEIDE, Lennart F. & KAASHOEK, Johan F. & van DIJK, Herman K., 2007. "On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks," LIDAM Reprints CORE 1922, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Jacek Osiewalski & Mateusz Pipien, 2004. "Bayesian Comparison of Bivariate GARCH Processes in the Presence of an Exogenous Variable," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 6, pages 25-36.
    7. Siem Jan Koopman & Charles S. Bos, 2002. "Time Series Models with a Common Stochastic Variance for Analysing Economic Time Series," Tinbergen Institute Discussion Papers 02-113/4, Tinbergen Institute.
    8. Baştürk, N. & Grassi, S. & Hoogerheide, L. & Opschoor, A. & van Dijk, H.K., 2015. "The R package MitISEM : efficient and robust simulation procedures for Bayesian inference," Research Memorandum 011, Maastricht University, Graduate School of Business and Economics (GSBE).
    9. Kin-Yip Ho & Albert K Tsui, 2008. "Volatility Dynamics in Foreign Exchange Rates : Further Evidence from the Malaysian Ringgit and Singapore Dollar," Finance Working Papers 22571, East Asian Bureau of Economic Research.
    10. Michel Beine & Charles S. Bos & Sébastien Laurent, 2007. "The Impact of Central Bank FX Interventions on Currency Components," Journal of Financial Econometrics, Oxford University Press, vol. 5(1), pages 154-183.
    11. Koop, G. & van Dijk, H.K., 1999. "Testing for integration using evolving trend and seasonal models: A Bayesian approach," Econometric Institute Research Papers EI 9934/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Nalan Basturk & Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2012. "The R Package MitISEM: Mixture of Student-t Distributions using Importance Sampling Weighted Expectation Maximization for Efficient and Robust Simulation," Tinbergen Institute Discussion Papers 12-096/III, Tinbergen Institute.
    13. Charles S. Bos, 2008. "Model-based Estimation of High Frequency Jump Diffusions with Microstructure Noise and Stochastic Volatility," Tinbergen Institute Discussion Papers 08-011/4, Tinbergen Institute.
    14. 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.
    15. Lennart Hoogerheide & Herman K. van Dijk, 2008. "Possibly Ill-behaved Posteriors in Econometric Models," Tinbergen Institute Discussion Papers 08-036/4, Tinbergen Institute, revised 18 Apr 2008.
    16. Jacek Kwiatkowski, 2008. "Bayesian Analysis of Polish Inflation Rates Using RCA and GLL Models," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 129-138.
    17. 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.
    18. Charles S. Bos & Siem Jan Koopman, 2010. "Models with Time-varying Mean and Variance: A Robust Analysis of U.S. Industrial Production," Tinbergen Institute Discussion Papers 10-017/4, Tinbergen Institute.
    19. Osiewalski, Jacek & Pipien, Mateusz, 2004. "Bayesian comparison of bivariate ARCH-type models for the main exchange rates in Poland," Journal of Econometrics, Elsevier, vol. 123(2), pages 371-391, December.

  29. de Jong, F. & Mahieu, R. & Schotman, P. & Leeuwen, I., 1999. "Price Discovery on Foreign Exchange Markets with Differentially Informed Traders," Papers 99-56, Southern California - School of Business Administration.

    Cited by:

    1. Tsang, Kwok Ping & Yang, Zichao, 2021. "The market for bitcoin transactions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    2. Calcagno, R. & Lovo, S.M., 2002. "Market Efficiency and Price Formation When Dealers are Asymmetrically Informed," Other publications TiSEM 30951a58-24f2-43f0-9e35-e, Tilburg University, School of Economics and Management.
    3. Sapp, Stephen G., 2002. "Price Leadership in the Spot Foreign Exchange Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(3), pages 425-448, September.
    4. Calcagno, R. & Lovo, S.M., 2002. "Market Efficiency and Price Formation When Dealers are Asymmetrically Informed," Discussion Paper 2002-42, Tilburg University, Center for Economic Research.
    5. LOVO, Stefano M. & CALCAGNO, R., 2001. "Market efficiency and Price Formation when Dealers are Asymmetrically Informed," HEC Research Papers Series 737, HEC Paris.

  30. de Jong, Frank & Mahieu, Ronald J & Schotman, Peter C, 1999. "Price Discovery on Foreign Exchange Markets," CEPR Discussion Papers 2296, C.E.P.R. Discussion Papers.

    Cited by:

    1. Tsang, Kwok Ping & Yang, Zichao, 2021. "The market for bitcoin transactions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    2. de Jong, Frank & Schotman, Peter C, 2003. "Price Discovery in Fragmented Markets," CEPR Discussion Papers 3987, C.E.P.R. Discussion Papers.
    3. Covrig, Vicentiu & Melvin, Michael, 2002. "Asymmetric information and price discovery in the FX market: does Tokyo know more about the yen?," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 271-285, August.
    4. Menkhoff, Lukas & Schmeling, Maik, 2006. "Local Information in Foreign Exchange Markets," Hannover Economic Papers (HEP) dp-331, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Calcagno, R. & Lovo, S.M., 2002. "Market Efficiency and Price Formation When Dealers are Asymmetrically Informed," Other publications TiSEM 30951a58-24f2-43f0-9e35-e, Tilburg University, School of Economics and Management.
    6. Sapp, Stephen G., 2002. "Price Leadership in the Spot Foreign Exchange Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(3), pages 425-448, September.
    7. Calcagno, R. & Lovo, S.M., 2002. "Market Efficiency and Price Formation When Dealers are Asymmetrically Informed," Discussion Paper 2002-42, Tilburg University, Center for Economic Research.
    8. LOVO, Stefano M. & CALCAGNO, R., 2001. "Market efficiency and Price Formation when Dealers are Asymmetrically Informed," HEC Research Papers Series 737, HEC Paris.

  31. Ronald Mahieu & Peter C. Schotman, 1994. "Stochastic volatility and the distribution of exchange rate news," Discussion Paper / Institute for Empirical Macroeconomics 96, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Ghysels, E. & Harvey, A. & Renault, E., 1996. "Stochastic Volatility," Cahiers de recherche 9613, Universite de Montreal, Departement de sciences economiques.
    2. Gallant, A. Ronald & Hsieh, David & Tauchen, George, 1995. "Estimation of Stochastic Volatility Models with Diagnostics," Working Papers 95-36, Duke University, Department of Economics.
    3. Danielsson, Jon, 1998. "Multivariate stochastic volatility models: Estimation and a comparison with VGARCH models," Journal of Empirical Finance, Elsevier, vol. 5(2), pages 155-173, June.
    4. Pieter J. van der Sluis, 1998. "EmmPack 1.01: C/C++ Code for Use with Ox for Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments," Tinbergen Institute Discussion Papers 98-021/4, Tinbergen Institute.
    5. Alexander Philipov & Mark Glickman, 2006. "Factor Multivariate Stochastic Volatility via Wishart Processes," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 311-334.
    6. Eric Jacquier & Nicholas G. Polson & Peter E. Rossi, 1999. "Stochastic Volatility: Univariate and Multivariate Extensions," CIRANO Working Papers 99s-26, CIRANO.
    7. Per Bjarte Solibakke, 2003. "Validity of discrete-time stochastic volatility models in non-synchronous equity markets," The European Journal of Finance, Taylor & Francis Journals, vol. 9(5), pages 420-448.
    8. George J. Jiang & Pieter J. van der Sluis, 1998. "Pricing Stock Options under Stochastic Volatility and Stochastic Interest Rates with Efficient Method of Moments Estimation," Tinbergen Institute Discussion Papers 98-067/4, Tinbergen Institute.
    9. Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1998. "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 361-393.
    10. Eric Jacquier & Nicholas G. Polson & Peter E. Rossi, 1995. "Models and Priors for Multivariate Stochastic Volatility," CIRANO Working Papers 95s-18, CIRANO.
    11. Kondo, Koji, 1997. "Statistical analysis of foreign exchange rates: application of cointegration model and regime-switching stochastic volatility model," ISU General Staff Papers 1997010108000012997, Iowa State University, Department of Economics.
    12. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.

  32. Ronald Mahieu & Peter Schotman, 1994. "Neglected Common Factors in Exchange Rate Volatility," CEPR Financial Markets Paper 0041, European Science Foundation Network in Financial Markets, c/o C.E.P.R, 33 Great Sutton Street, London EC1V 0DX..

    Cited by:

    1. Ghysels, E. & Harvey, A. & Renault, E., 1996. "Stochastic Volatility," Cahiers de recherche 9613, Universite de Montreal, Departement de sciences economiques.
    2. Michel Beine & Charles Bos & Serge Coulombe, 2009. "Does the Canadian economy suffer from Dutch Disease?," DEM Discussion Paper Series 09-06, Department of Economics at the University of Luxembourg.
    3. Kunkler, Michael & MacDonald, Ronald, 2016. "Idiosyncratic variation of the US Dollar," Economics Letters, Elsevier, vol. 144(C), pages 7-9.
    4. Fry-McKibbin, Renée A. & Wanaguru, Sumila, 2013. "Currency intervention: A case study of an emerging market," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 25-47.
    5. Charles S. Bos & Neil Shephard, 2004. "Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space Form," Economics Papers 2004-W02, Economics Group, Nuffield College, University of Oxford.
    6. Dungey, Mardi & Erdemlioglu, Deniz & Matei, Marius & Yang, Xiye, 2018. "Testing for mutually exciting jumps and financial flights in high frequency data," Journal of Econometrics, Elsevier, vol. 202(1), pages 18-44.
    7. Kenneth W. Clements & Renee Fry, 2006. "Commodity Currencies And Currency Commodities," CAMA Working Papers 2006-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Kunkler, Michael & MacDonald, Ronald, 2018. "Decomposition of the uncovered equity parity correlation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 44-58.
    9. Gonzalez-Hermosillo Gonzalez, B.M., 2008. "Transmission of shocks across global financial markets : The role of contagion and investors' risk appetite," Other publications TiSEM d684f3c7-7ad8-4e93-88cf-a, Tilburg University, School of Economics and Management.
    10. Dungey, M. H., 1999. "Decomposing exchange rate volatility around the Pacific Rim," Journal of Asian Economics, Elsevier, vol. 10(4), pages 525-535.
    11. Kunkler, Michael, 2022. "Hedging local currency risk with precious metals," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    12. Christian Gourieroux & Alain Monfort & Razvan Sufana, 2005. "International Money and Stock Market Contingent Claims," Working Papers 2005-41, Center for Research in Economics and Statistics.
    13. Michel Beine & Charles S. Bos & Sébastien Laurent, 2007. "The Impact of Central Bank FX Interventions on Currency Components," Journal of Financial Econometrics, Oxford University Press, vol. 5(1), pages 154-183.
    14. Wolff, Christian & Bams, Dennis & Walkowiak, Kim, 2003. "More Evidence on the Dollar Risk Premium in the Foreign Exchange Market," CEPR Discussion Papers 3726, C.E.P.R. Discussion Papers.
    15. Shaun Bond & Mardi Dungey & Renée Fry, 2006. "A Web Of Shocks: Crises Across Asian Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 32(3), pages 253-274, May.
    16. Kunkler, Michael & MacDonald, Ronald, 2019. "The multilateral relationship between oil and G10 currencies," Energy Economics, Elsevier, vol. 78(C), pages 444-453.
    17. Kunkler, Michael, 2021. "Currency hedging for single-currency equity portfolios: Does cross-asset risk matter?," Global Finance Journal, Elsevier, vol. 49(C).
    18. Kunkler, Michael, 2021. "The Chinese renminbi's co-movement with the US dollar: Addressing the numéraire issue," Finance Research Letters, Elsevier, vol. 40(C).
    19. Mardi Dungey & Vance L Martin & Adrian R Pagan, 2000. "A multivariate latent factor decomposition of international bond yield spreads," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 697-715.
    20. Ronald Mahieu & Peter C. Schotman, 1994. "Stochastic volatility and the distribution of exchange rate news," Discussion Paper / Institute for Empirical Macroeconomics 96, Federal Reserve Bank of Minneapolis.
    21. Michael Kunkler, 2023. "Synthetic money: Addressing the budget‐constraint issue," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3774-3788, October.
    22. Mardi Dungey & Diana Zhumabekova, 2001. "Factor analysis of a model of stock market returns using simulation-based estimation techniques," Pacific Basin Working Paper Series 2001-08, Federal Reserve Bank of San Francisco.
    23. Koedijk, Kees G. & Schotman, Peter C. & Van Dijk, Mathijs A., 1998. "The re-emergence of PPP in the 1990s," Journal of International Money and Finance, Elsevier, vol. 17(1), pages 51-61, February.
    24. Ben Tims & Ronald Mahieu, 2006. "A Range-Based Multivariate Stochastic Volatility Model for Exchange Rates," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 409-424.
    25. Dungey, Mardi & Fry, Renee & Gonzalez-Hermosillo, Brenda & Martin, Vance, 2006. "Contagion in international bond markets during the Russian and the LTCM crises," Journal of Financial Stability, Elsevier, vol. 2(1), pages 1-27, April.
    26. Ms. Brenda Gonzalez-Hermosillo & Mr. Vance Martin & Ms. Renee Fry & Mr. Mardi Dungey, 2003. "Unanticipated Shocks and Systemic Influences: The Impact of Contagion in Global Equity Markets in 1998," IMF Working Papers 2003/084, International Monetary Fund.
    27. Huisman, Ronald & Koedijk, Kees & Kool, Clemens & Nissen, Francois, 1998. "Extreme support for uncovered interest parity," Journal of International Money and Finance, Elsevier, vol. 17(1), pages 211-228, February.
    28. Mr. Mardi Dungey & Ms. Renee Fry & Mr. Vance Martin & Ms. Brenda Gonzalez-Hermosillo, 2004. "Empirical Modeling of Contagion: A Review of Methodologies," IMF Working Papers 2004/078, International Monetary Fund.
    29. Dungey, Mardi, 2004. "Identifying terms of trade effects in real exchange rate movements: evidence from Asia," Journal of Asian Economics, Elsevier, vol. 15(2), pages 217-235, April.
    30. Ibrahim Chowdhury & Lucio Sarno, 2004. "Time‐Varying Volatility in the Foreign Exchange Market: New Evidence on its Persistence and on Currency Spillovers," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 759-793, June.
    31. Imen Bedoui-Belghith & Slaheddine Hallara & Faouzi Jilani, 2023. "Crisis transmission degree measurement under crisis propagation model," SN Business & Economics, Springer, vol. 3(1), pages 1-27, January.
    32. Adrian, Tobias & Etula, Erkko & Groen, Jan J.J., 2011. "Financial amplification of foreign exchange risk premia," European Economic Review, Elsevier, vol. 55(3), pages 354-370, April.
    33. Tims, B. & Mahieu, R.J., 2003. "A Range-Based Multivariate Model for Exchange Rate Volatility," ERIM Report Series Research in Management ERS-2003-022-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    34. Kunkler, Michael & MacDonald, Ronald, 2015. "Half-lives of currencies and aggregation bias," Economics Letters, Elsevier, vol. 135(C), pages 58-60.
    35. Kondo, Koji, 1997. "Statistical analysis of foreign exchange rates: application of cointegration model and regime-switching stochastic volatility model," ISU General Staff Papers 1997010108000012997, Iowa State University, Department of Economics.
    36. Mulvey, John & Rush, Robert & Sweeney, John, 1998. "Generating scenarios for global financial planning systems," International Journal of Forecasting, Elsevier, vol. 14(2), pages 291-298, June.
    37. Ms. Renee Fry & Mr. Vance Martin & Ms. Brenda Gonzalez-Hermosillo & Mr. Mardi Dungey, 2002. "International Contagion Effects from the Russian Crisis and the LTCM Near-Collapse," IMF Working Papers 2002/074, International Monetary Fund.
    38. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.

Articles

  1. Eijffinger, Sylvester & Mahieu, Ronald & Raes, Louis, 2018. "Inferring hawks and doves from voting records," European Journal of Political Economy, Elsevier, vol. 51(C), pages 107-120.
    See citations under working paper version above.
  2. Sylvester Eijffinger & Ronald Mahieu & Louis Raes, 2017. "Can the Fed Talk the Hind Legs Off the Stock Market?," International Journal of Central Banking, International Journal of Central Banking, vol. 13(1), pages 53-94, February.
    See citations under working paper version above.
  3. Pieterse-Bloem, Mary & Mahieu, Ronald J., 2013. "Factor decomposition and diversification in European corporate bond markets," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 194-213.

    Cited by:

    1. Eijffinger, Sylvester C.W. & Pieterse-Bloem, Mary, 2023. "Eurozone government bond spreads: A tale of different ECB policy regimes," Journal of International Money and Finance, Elsevier, vol. 139(C).
    2. Pieterse-Bloem, Mary & Qian, Zhaowen & Verschoor, Willem & Zwinkels, Remco, 2016. "Time-varying importance of country and industry factors in European corporate bonds," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 429-448.
    3. Angeloantonio Russo & Massimo Mariani & Alessandra Caragnano, 2021. "Exploring the determinants of green bond issuance: Going beyond the long‐lasting debate on performance consequences," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 38-59, January.
    4. Desislava Vladimirova, 2024. "In the shadow of country risk: asset pricing model of emerging market corporate bonds," Journal of Asset Management, Palgrave Macmillan, vol. 25(5), pages 479-492, September.

  4. Xiaohong Huang & Ronald Mahieu, 2012. "Performance Persistence of Dutch Pension Funds," De Economist, Springer, vol. 160(1), pages 17-34, March.

    Cited by:

    1. Marwa Zouaoui, 2019. "Selectivity and Market Timing Ability of Fund Managers: Comparative Analysis of Islamic and Conventional HSBC Saudi Mutual Funds," IJFS, MDPI, vol. 7(3), pages 1-19, September.
    2. Akshentseva, Ksenya (Акшенцева, Ксения) & Abramov, Alexander (Абрамов, Александр) & Chernovа, Maria (Чернова, Мария), 2015. "Problems of Formation and Evaluation of Strategies for Portfolio Investment of Pension Reserves, Accruals and Collective Investments in Russia [Проблемы Формирования И Оценки Результативности Страт," Published Papers mn24, Russian Presidential Academy of National Economy and Public Administration.
    3. Zia-ur-Rehman Rao & Muhammad Zubair Tauni & Tanveer Ahsan & Muhammad Umar, 2020. "Do mutual funds have consistency in their performance?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 19(2), pages 139-153, May.
    4. Fernández, Pablo & Aguirreamalloa, Javier & Corres, Luis, 2013. "Rentabilidad de los fondos de pensiones en España. 2001-2011," IESE Research Papers D/1060, IESE Business School.
    5. Jianping Lu & Tingting He & Guiwu Wei & Jiang Wu & Cun Wei, 2020. "Cumulative Prospect Theory: Performance Evaluation of Government Purchases of Home-Based Elderly-Care Services Using the Pythagorean 2-tuple Linguistic TODIM Method," IJERPH, MDPI, vol. 17(6), pages 1-21, March.
    6. Broeders, Dirk W.G.A. & van Oord, Arco & Rijsbergen, David R., 2019. "Does it pay to pay performance fees? Empirical evidence from Dutch pension funds," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 299-312.

  5. Huisman, Ronald & Mahieu, Ronald & Schlichter, Felix, 2009. "Electricity portfolio management: Optimal peak/off-peak allocations," Energy Economics, Elsevier, vol. 31(1), pages 169-174, January.
    See citations under working paper version above.
  6. Huisman, Ronald & Huurman, Christian & Mahieu, Ronald, 2007. "Hourly electricity prices in day-ahead markets," Energy Economics, Elsevier, vol. 29(2), pages 240-248, March.
    See citations under working paper version above.
  7. Ben Tims & Ronald Mahieu, 2006. "A Range-Based Multivariate Stochastic Volatility Model for Exchange Rates," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 409-424.

    Cited by:

    1. Wang, Xinyu & Qi, Zikang & Huang, Jianglu, 2023. "How do monetary shock, financial crisis, and quotation reform affect the long memory of exchange rate volatility? Evidence from major currencies," Economic Modelling, Elsevier, vol. 120(C).
    2. Anders Johansson, 2009. "Stochastic volatility and time-varying country risk in emerging markets," The European Journal of Finance, Taylor & Francis Journals, vol. 15(3), pages 337-363.
    3. Manabu Asai, 2013. "Heterogeneous Asymmetric Dynamic Conditional Correlation Model with Stock Return and Range," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(5), pages 469-480, August.
    4. Saldaña-Zepeda, Dayna P. & Velasco-Cruz, Ciro & Torres-Preciado, Víctor H., 2020. "Mexican peso-USD exchange rate: A switching linear dynamical model application," International Economics, Elsevier, vol. 162(C), pages 80-91.
    5. Mike K. P. So & C. Y. Choi, 2009. "A threshold factor multivariate stochastic volatility model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(8), pages 712-735.
    6. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
    7. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in "Handbook of Financial Time Series" (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss," CARF F-Series CARF-F-094, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    8. Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 308-321.

  8. Huisman, Ronald & Mahieu, Ronald, 2003. "Regime jumps in electricity prices," Energy Economics, Elsevier, vol. 25(5), pages 425-434, September.
    See citations under working paper version above.
  9. Charles S. Bos & Ronald J. Mahieu & Herman K. Van Dijk, 2000. "Daily exchange rate behaviour and hedging of currency risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 671-696.
    See citations under working paper version above.
  10. De Jong, Frank & Mahieu, Ronald & Schotman, Peter, 1998. "Price discovery in the foreign exchange market: an empirical analysis of the yen/dmark rate1, 2," Journal of International Money and Finance, Elsevier, vol. 17(1), pages 5-27, February.

    Cited by:

    1. Baviera, Roberto & Pasquini, Michele & Serva, Maurizio & Vergni, Davide & Vulpiani, Angelo, 2001. "Correlations and multi-affinity in high frequency financial datasets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 300(3), pages 551-557.
    2. Huang, Guan-Ying & Gau, Yin-Feng & Wu, Zhen-Xing, 2022. "Price discovery in fiat currency and cryptocurrency markets," Finance Research Letters, Elsevier, vol. 47(PA).
    3. Michele Pasquini & Maurizio Serva, 1999. "Indeterminacy in foreign exchange market," Papers cond-mat/9906343, arXiv.org.
    4. Lyons, Richard K. & Moore, Michael J., 2009. "An information approach to international currencies," Journal of International Economics, Elsevier, vol. 79(2), pages 211-221, November.
    5. de Jong, Frank & Mahieu, Ronald J & Schotman, Peter C, 1999. "Price Discovery on Foreign Exchange Markets," CEPR Discussion Papers 2296, C.E.P.R. Discussion Papers.
    6. Covrig, Vicentiu & Melvin, Michael, 2002. "Asymmetric information and price discovery in the FX market: does Tokyo know more about the yen?," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 271-285, August.
    7. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    8. Michael King & Carol Osler & Dagfinn Rime, 2012. "The Market Microstructure Approach to Foreign Exchange: Looking Back and Looking Forward," Working Papers 54, Brandeis University, Department of Economics and International Business School.
    9. Geir H. Bjønnes & Carol L. Osler & Dagfinn Rime, 2021. "Price discovery in two‐tier markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 3109-3133, April.
    10. Jon Danielsson & Richard Payne, 1999. "Real Trading Patterns and Prices in Spot Foreign Exchange Markets," FMG Discussion Papers dp320, Financial Markets Group.
    11. Pasquini, Michele & Serva, Maurizio, 2000. "Indeterminacy in foreign exchange markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 277(1), pages 228-238.
    12. Arteche González, Jesús María, 2010. "Semiparametric inference in correlated long memory signal plus noise models," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    13. Andersson, Jonas, 2007. "On the estimation of correlations for irregularly spaced time series," Discussion Papers 2007/19, Norwegian School of Economics, Department of Business and Management Science.
    14. Wu, Zhen-Xing & Gau, Yin-Feng & Chen, Yu-Lun, 2023. "Price discovery and triangular arbitrage in currency markets," Journal of International Money and Finance, Elsevier, vol. 137(C).
    15. Chaiyuth Padungsaksawasdi & Ali Parhizgari, 2017. "Major Currency ETFs and Their Associated Spot and Futures Rates," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-32, December.
    16. Tse, Yiuman & Xiang, Ju, 2005. "Market quality and price discovery: Introduction of the E-mini energy futures," Global Finance Journal, Elsevier, vol. 16(2), pages 164-179, December.
    17. Quan-Hoang Vuong, 2004. "Analyses on Gold and US Dollar in Vietnam's Transitional Economy," Working Papers CEB 04-033.RS, ULB -- Universite Libre de Bruxelles.
    18. Mark T. Leung & An-Sing Chen, 2005. "Performance evaluation of neural network architectures: the case of predicting foreign exchange correlations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(6), pages 403-420.
    19. Geir H. Bjønnes & Carol L. Osler & Dagfinn Rime, 2009. "Asymmetric information in the interbank foreign exchange market," Working Paper 2008/25, Norges Bank.

  11. Ronald J. Mahieu & Peter C. Schotman, 1998. "An empirical application of stochastic volatility models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(4), pages 333-360.

    Cited by:

    1. Mark J. Jensen & John M. Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," FRB Atlanta Working Paper 2008-15, Federal Reserve Bank of Atlanta.
    2. Salima El Kolei, 2013. "Parametric estimation of hidden stochastic model by contrast minimization and deconvolution," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(8), pages 1031-1081, November.
    3. Broto, Carmen, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Pascale VALERY (HEC-Montreal) & Jean-Marie Dufour (University of Montreal), 2004. "A simple estimation method and finite-sample inference for a stochastic volatility model," Econometric Society 2004 North American Summer Meetings 153, Econometric Society.
    5. Athanasia Gavala & Nikolay Gospodinov & Deming Jiang, 2006. "Forecasting volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 381-400.
    6. Audronė Virbickaitė & Hedibert F. Lopes & M. Concepción Ausín & Pedro Galeano, 2019. "Particle learning for Bayesian semi-parametric stochastic volatility model," Econometric Reviews, Taylor & Francis Journals, vol. 38(9), pages 1007-1023, October.
    7. Jun Yu & Zhenlin Yang & Xibin Zhang, 2002. "A Class of Nonlinear Stochastic Volatility Models and Its Implications on Pricing Currency Options," Monash Econometrics and Business Statistics Working Papers 17/02, Monash University, Department of Econometrics and Business Statistics.
    8. Raanju R. Sundararajan & Wagner Barreto‐Souza, 2023. "Student‐t stochastic volatility model with composite likelihood EM‐algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 125-147, January.
    9. Liesenfeld, Roman & Jung, Robert C., 1997. "Stochastic volatility models: Conditional normality versus heavy tailed distributions," Tübinger Diskussionsbeiträge 103, University of Tübingen, School of Business and Economics.
    10. Roman V. Ivanov, 2023. "On the Stochastic Volatility in the Generalized Black-Scholes-Merton Model," Risks, MDPI, vol. 11(6), pages 1-23, June.
    11. Bauwens, Luc & Lubrano, Michel, 2002. "Bayesian option pricing using asymmetric GARCH models," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 321-342, August.
    12. Dominik Bertsche & Robin Braun, 2022. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 328-341, January.
    13. Mark J. Jensen, 2004. "Semiparametric Bayesian Inference of Long‐Memory Stochastic Volatility Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(6), pages 895-922, November.
    14. Hardiyanto, A.V., 2007. "Daily Rp/USD stochastic volatility and the policy implication lesson," Journal of Asian Economics, Elsevier, vol. 18(1), pages 237-256, February.
    15. Dinghai Xu, 2009. "The Applications of Mixtures of Normal Distributions in Empirical Finance: A Selected Survey," Working Papers 0904, University of Waterloo, Department of Economics, revised Sep 2009.
    16. Omori, Yasuhiro & Chib, Siddhartha & Shephard, Neil & Nakajima, Jouchi, 2007. "Stochastic volatility with leverage: Fast and efficient likelihood inference," Journal of Econometrics, Elsevier, vol. 140(2), pages 425-449, October.
    17. Damiano Brigo & Bernard Hanzon, 2008. "On three filtering problems arising in mathematical finance," Papers 0812.4050, arXiv.org.
    18. Hong, Hui & Bian, Zhicun & Chen, Naiwei, 2020. "Leverage effect on stochastic volatility for option pricing in Hong Kong: A simulation and empirical study," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    19. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, November.
    20. López-Herrera, Francisco & Ortiz-Arango, Francisco & Venegas-Martínez, Francisco, 2011. "Modelado de la volatilidad del Índice de Precios y Cotizaciones de la Bolsa Mexicana de Valores con cambios markovianos de régimen," Sección de Estudios de Posgrado e Investigación de la Escuela Superios de Economía del Instituto Politécnico Nacional, in: Perrotini-Hernández, Ignacio (ed.), Crecimiento y Desarrollo Económico en México, volume 1, chapter 10, pages 153-164, Escuela Superior de Economía, Instituto Politécnico Nacional.
    21. Abanto-Valle, C.A. & Bandyopadhyay, D. & Lachos, V.H. & Enriquez, I., 2010. "Robust Bayesian analysis of heavy-tailed stochastic volatility models using scale mixtures of normal distributions," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 2883-2898, December.
    22. Ben Tims & Ronald Mahieu, 2006. "A Range-Based Multivariate Stochastic Volatility Model for Exchange Rates," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 409-424.
    23. Felicia Ramona Birău, 2012. "Stochastic Volatility Models For Financial Time Series Analysis," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 472-475, November.
    24. Feldmann, David & Härdle, Wolfgang Karl & Hafner, Christian M. & Hoffmann, Marc & Lepskii, Oleg V. & Tsybakov, Alexandre B., 1998. "Flexible stochastic volatility structures for high frequency financial data," SFB 373 Discussion Papers 1998,34, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    25. Dinghai Xu & John Knight, 2013. "Stochastic volatility model under a discrete mixture-of-normal specification," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(2), pages 216-239, April.
    26. Ibrahim Chowdhury & Lucio Sarno, 2004. "Time‐Varying Volatility in the Foreign Exchange Market: New Evidence on its Persistence and on Currency Spillovers," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 759-793, June.
    27. Yasuhiro Omori & Siddhartha Chib & Neil Shephard & Jouchi Nakajima, 2004. "Stochastic Volatility with Leverage: Fast Likelihood Inference," CIRJE F-Series CIRJE-F-297, CIRJE, Faculty of Economics, University of Tokyo.
    28. Brigo, Damiano & Hanzon, Bernard, 1998. "On some filtering problems arising in mathematical finance," Insurance: Mathematics and Economics, Elsevier, vol. 22(1), pages 53-64, May.
    29. Audrone Virbickaite & Hedibert F. Lopes, 2018. "Bayesian Semi-Parametric Markov Switching Stochastic Volatility Model," DEA Working Papers 89, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    30. Carlos A. Abanto‐Valle & Helio S. Migon & Hedibert F. Lopes, 2010. "Bayesian modeling of financial returns: A relationship between volatility and trading volume," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(2), pages 172-193, March.
    31. Jacquier, Eric & Polson, Nicholas G. & Rossi, P.E.Peter E., 2004. "Bayesian analysis of stochastic volatility models with fat-tails and correlated errors," Journal of Econometrics, Elsevier, vol. 122(1), pages 185-212, September.
    32. Chib, Siddhartha & Nardari, Federico & Shephard, Neil, 2002. "Markov chain Monte Carlo methods for stochastic volatility models," Journal of Econometrics, Elsevier, vol. 108(2), pages 281-316, June.
    33. Ronald Mahieu & Rob Bauer, 1998. "A Bayesian analysis of stock return volatility and trading volume," Applied Financial Economics, Taylor & Francis Journals, vol. 8(6), pages 671-687.
    34. Ulm, M. & Hambuckers, J., 2022. "Do interest rate differentials drive the volatility of exchange rates? Evidence from an extended stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 65(C), pages 125-148.
    35. Jean-Jacques Forneron, 2019. "A Sieve-SMM Estimator for Dynamic Models," Papers 1902.01456, arXiv.org, revised Jan 2023.
    36. Salima El Kolei, 2012. "Parametric estimation of hidden stochastic model by contrast minimization and deconvolution: application to the Stochastic Volatility Model," Papers 1202.2559, arXiv.org, revised Mar 2013.
    37. Shirley J. Huang & Qianqiu Liu & Jun Yu, 2007. "Realized Daily Variance of S&P 500 Cash Index: A Revaluation of Stylized Facts," Annals of Economics and Finance, Society for AEF, vol. 8(1), pages 33-56, May.
    38. Anna Pajor, 2009. "A Note on Option Pricing with the Use of Discrete-Time Stochastic Volatility Processes," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(1), pages 71-81, March.

  12. Ronald Mahieu & Rob Bauer, 1998. "A Bayesian analysis of stock return volatility and trading volume," Applied Financial Economics, Taylor & Francis Journals, vol. 8(6), pages 671-687.

    Cited by:

    1. Broto, Carmen, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Du, Xiaodong & Dong, Fengxia, 2014. "Heterogeneous Responses to Market Information and The Impact on Price Volatility and Trading Volume: The Case of Class III Milk Futures," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169769, Agricultural and Applied Economics Association.
    3. Pyun, Chong Soo & Lee, Sa Young & Nam, Kiseok, 2000. "Volatility and information flows in emerging equity market: A case of the Korean Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 9(4), pages 405-420.
    4. Carlos A. Abanto‐Valle & Helio S. Migon & Hedibert F. Lopes, 2010. "Bayesian modeling of financial returns: A relationship between volatility and trading volume," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(2), pages 172-193, March.
    5. Trojan, Sebastian, 2013. "Regime Switching Stochastic Volatility with Skew, Fat Tails and Leverage using Returns and Realized Volatility Contemporaneously," Economics Working Paper Series 1341, University of St. Gallen, School of Economics and Political Science, revised Aug 2014.
    6. Xiaodong Du & Fengxia Dong, 2016. "Responses to market information and the impact on price volatility and trading volume: the case of Class III milk futures," Empirical Economics, Springer, vol. 50(2), pages 661-678, March.
    7. Shimokawa, Tetsuya & Suzuki, Kyoko & Misawa, Tadanobu, 2007. "An agent-based approach to financial stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 207-225.

  13. Mahieu, Ronald & Schotman, Peter, 1994. "Neglected common factors in exchange rate volatility," Journal of Empirical Finance, Elsevier, vol. 1(3-4), pages 279-311, July.
    See citations under working paper version above.

Chapters

    Sorry, no citations of chapters recorded.

Books

  1. Luc Laeven & Mario Draghi & Andreas Dombret & Ignazio Angeloni & Sergio Nicoletti-Altimari & Felix Hufeld & Ludger Schuknecht & Hendrik Ritter & Christian Thimann & Josef A. Korte & Sascha Steffen & E, 2016. "The SSM at 1," SUERF Studies, SUERF - The European Money and Finance Forum, number 2016/3 edited by Jens Ulbrich, Carl-Christoph Hedrich and Morten Balling, May.

    Cited by:

    1. Wilhelmine Naapopye Shigwedha & Teresia Kaulihowa, 2020. "Investigating the Effects of Government Expenditure and Money Supply on Unemployment in Namibia," Journal of Economics and Behavioral Studies, AMH International, vol. 12(4), pages 73-83.
    2. Shambaugh, George E. & Shen, Elaine B., 2018. "A clear advantage: The benefits of transparency to crisis recovery," European Journal of Political Economy, Elsevier, vol. 55(C), pages 391-416.

  2. Howard Davies & David Miles & Forrest Capie & Alex Cukierman & Jakob de Haan & Sylvester Eijffinger & Charles Goodhart & Ronald Mahieu & Aleksandra Maslowska-Jokinen & Anna Matysek-Jedrych & Martin Me, 2016. "Central banking and monetary policy: Which will be the post-crisis new normal? Abstract: Central Bankers are currently facing big challenges in designing and implementing monetary policy, as well as w," SUERF Studies, SUERF - The European Money and Finance Forum, number 2016/4 edited by Ernest Gnan and Donato Masciandaro, May.

    Cited by:

    1. Paul J. J. Welfens, 2019. "Lack of international risk management in BREXIT?," International Economics and Economic Policy, Springer, vol. 16(1), pages 103-160, March.
    2. Guedes, E.F. & Ferreira, Paulo & Dionísio, Andreia & Zebende, G.F., 2019. "An econophysics approach to study the effect of BREXIT referendum on European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1175-1182.

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