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Martin Sola

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. Hall, Stephen G & Psaradakis, Zacharias & Sola, Martin, 1999. "Detecting Periodically Collapsing Bubbles: A Markov-Switching Unit Root Test," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 143-154, March-Apr.

    Mentioned in:

    1. Detecting periodically collapsing bubbles: a Markov-switching unit root test (Journal of Applied Econometrics 1999) in ReplicationWiki ()
  2. Hall, Stephen G & Psaradakis, Zacharias & Sola, Martin, 1997. "Cointegration and Changes in Regime: The Japanese Consumption Function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 151-168, March-Apr.

    Mentioned in:

    1. COINTEGRATION AND CHANGES IN REGIME: THE JAPANESE CONSUMPTION FUNCTION (Journal of Applied Econometrics 1997) in ReplicationWiki ()

Working papers

  1. Martin Sola, 2023. "Rational Bubbles: Too Many to be True?," Working Papers 240, Red Nacional de Investigadores en Economía (RedNIE).

    Cited by:

    1. Nicolas Cofre & Magdalena Mosionek-Schweda, 2023. "A simulated electronic market with speculative behaviour and bubble formation," Papers 2311.12247, arXiv.org.

  2. Constantino Hevia & Martin Sola, 2018. "Bond risk premia and restrictions on risk prices," Department of Economics Working Papers 2018_03, Universidad Torcuato Di Tella.

    Cited by:

    1. Yiu-Kuen Tse, 2019. "Editorial for the Special Issue on Financial Econometrics," JRFM, MDPI, vol. 12(3), pages 1-2, September.

  3. Hevia, Constantino & Petrella, Ivan & Sola, Martin, 2016. "Risk premia and seasonality in commodity futures," Bank of England working papers 591, Bank of England.

    Cited by:

    1. Anthony Garratt & Shaun P. Vahey & Yunyi Zhang, 2019. "Real‐time forecast combinations for the oil price," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(3), pages 456-462, April.
    2. Czudaj, Robert L., 2019. "Dynamics between trading volume, volatility and open interest in agricultural futures markets: A Bayesian time-varying coefficient approach," Econometrics and Statistics, Elsevier, vol. 12(C), pages 78-145.
    3. Spencer, Simon & Bredin, Don, 2019. "Agreement matters: OPEC announcement effects on WTI term structure," Energy Economics, Elsevier, vol. 80(C), pages 589-609.
    4. Sania Wadud & Robert D. Durand & Marc Gronwald, 2021. "Connectedness between the Crude Oil Futures and Equity Markets during the Pre- and Post-Financialisation Eras," CESifo Working Paper Series 9202, CESifo.
    5. Piergiorgio Alessandri & Andrea Gazzani, 2023. "Natural gas and the macroeconomy: not all energy shocks are alike," Temi di discussione (Economic working papers) 1428, Bank of Italy, Economic Research and International Relations Area.
    6. Bredin, Don & O'Sullivan, Conall & Spencer, Simon, 2021. "Forecasting WTI crude oil futures returns: Does the term structure help?," Energy Economics, Elsevier, vol. 100(C).
    7. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.
    8. Han Jun S. & Kordzakhia Nino & Shevchenko Pavel V. & Trück Stefan, 2022. "On correlated measurement errors in the Schwartz–Smith two-factor model," Dependence Modeling, De Gruyter, vol. 10(1), pages 108-122, January.

  4. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2016. "Maximum Likelihood Estimation in Markov Regime-Switching Models with Covariate-Dependent Transition Probabilities," Papers 1612.04932, arXiv.org, revised Dec 2021.

    Cited by:

    1. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2022. "Maximum Likelihood Estimation in Markov Regime‐Switching Models With Covariate‐Dependent Transition Probabilities," Econometrica, Econometric Society, vol. 90(4), pages 1681-1710, July.
    2. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2023. "A Note on Quasi-Maximum-Likelihood Estimation in Hidden Markov Models with Covariate-Dependent Transition Probabilities," Working Papers 234, Red Nacional de Investigadores en Economía (RedNIE).
    3. Hiroyuki Okawa, 2023. "Markov-Regime Switches in Oil Markets: The Fear Factor Dynamics," JRFM, MDPI, vol. 16(2), pages 1-20, January.
    4. Chaojun Li & Yan Liu, 2020. "Asymptotic Properties of the Maximum Likelihood Estimator in Regime-Switching Models with Time-Varying Transition Probabilities," Papers 2010.04930, arXiv.org, revised Dec 2021.
    5. Jochmans, Koen & Higgins, Ayden, 2022. "Learning Markov Processes with Latent Variables From Longitudinal Data," TSE Working Papers 22-1366, Toulouse School of Economics (TSE).

  5. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2016. "Maximum Likelihood Estimation in Possibly Misspeci ed Dynamic Models with Time-Inhomogeneous Markov Regimes," Department of Economics Working Papers 2016_04, Universidad Torcuato Di Tella.

    Cited by:

    1. Psaradakis, Zacharias & Sola, Martin, 2024. "Markov-Switching Models with State-Dependent Time-Varying Transition Probabilities," Econometrics and Statistics, Elsevier, vol. 29(C), pages 49-63.
    2. Yonekura, Shouto & Beskos, Alexandros & Singh, Sumeetpal S., 2021. "Asymptotic analysis of model selection criteria for general hidden Markov models," Stochastic Processes and their Applications, Elsevier, vol. 132(C), pages 164-191.
    3. Feng Lingbing & Shi Yanlin, 2020. "Markov regime-switching autoregressive model with tempered stable distribution: simulation evidence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(1), pages 1-27, February.

  6. Sola, Martín & González Rozada, Martín, 2014. "Towards a "New" Inflation Targeting Framework: The Case of Uruguay," IDB Publications (Working Papers) 6335, Inter-American Development Bank.

    Cited by:

    1. Pierre-Richard Agénor & Koray Alper & Luiz Pereira da Silva, 2015. "External Shocks, Financial Volatility and Reserve Requirements in an Open Economy," Working Papers Series 396, Central Bank of Brazil, Research Department.
    2. Cantú, Carlos & Gondo, Rocio & Martínez, Berenice, 2019. "Reserve requirements as a financial stability instrument," Working Papers 2019-014, Banco Central de Reserva del Perú.
    3. Primus, Keyra, 2017. "Excess reserves, monetary policy and financial volatility," Journal of Banking & Finance, Elsevier, vol. 74(C), pages 153-168.
    4. Santiago Camara, 2022. "TANK meets Diaz-Alejandro: Household heterogeneity, non-homothetic preferences & policy design," Papers 2201.02916, arXiv.org.

  7. Matias Escudero & Martin Gonzalez-Rozada & Martin Sola, 2014. "Towards a “New” Inflation Targeting Framework: The Case of Uruguay," Department of Economics Working Papers wp201401, Universidad Torcuato Di Tella.

    Cited by:

    1. Pierre-Richard Agénor & Koray Alper & Luiz Pereira da Silva, 2015. "External Shocks, Financial Volatility and Reserve Requirements in an Open Economy," Working Papers Series 396, Central Bank of Brazil, Research Department.
    2. Primus, Keyra, 2017. "Excess reserves, monetary policy and financial volatility," Journal of Banking & Finance, Elsevier, vol. 74(C), pages 153-168.
    3. Santiago Camara, 2022. "TANK meets Diaz-Alejandro: Household heterogeneity, non-homothetic preferences & policy design," Papers 2201.02916, arXiv.org.

  8. Constantino Hevia & Martin Gonzalez-Rozada & Martin Sola & Fabio Spagnolo, 2014. "Estimating and Forecasting the Yield Curve Using a Markov Switching Dynamic Nelson and Siegel Model," BCAM Working Papers 1403, Birkbeck Centre for Applied Macroeconomics.

    Cited by:

    1. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson†Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Fausto Vieira & Fernando Chague, Marcelo Fernandes, 2016. "A dynamic Nelson-Siegel model with forward-looking indicators for the yield curve in the US," Working Papers, Department of Economics 2016_31, University of São Paulo (FEA-USP).
    3. Mustafa Demirel & Gazanfer Unal, 2020. "Applying multivariate-fractionally integrated volatility analysis on emerging market bond portfolios," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    4. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    5. Levant, Jared & Ma, Jun, 2017. "A dynamic Nelson-Siegel yield curve model with Markov switching," Economic Modelling, Elsevier, vol. 67(C), pages 73-87.
    6. Fischer, Manfred M. & Hauzenberger, Niko & Huber, Florian & Pfarrhofer, Michael, 2022. "General Bayesian time-varying parameter VARs for modeling government bond yields," Working Papers in Regional Science 2021/01, WU Vienna University of Economics and Business.
    7. Renata Tavanielli & Márcio Laurini, 2023. "Yield Curve Models with Regime Changes: An Analysis for the Brazilian Interest Rate Market," Mathematics, MDPI, vol. 11(11), pages 1-28, June.
    8. Guidolin, Massimo & Pedio, Manuela, 2019. "Forecasting and trading monetary policy effects on the riskless yield curve with regime switching Nelson–Siegel models," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    9. Koeda, Junko & Sekine, Atsushi, 2022. "Nelson–Siegel decay factor and term premia in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 64(C).
    10. Manfred M. Fischer & Niko Hauzenberger & Florian Huber & Michael Pfarrhofer, 2023. "General Bayesian time‐varying parameter vector autoregressions for modeling government bond yields," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 69-87, January.
    11. Eo, Yunjong & Kang, Kyu Ho, 2020. "The effects of conventional and unconventional monetary policy on forecasting the yield curve," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    12. Luo, Deqing & Pang, Tao & Xu, Jiawen, 2021. "Forecasting U.S. Yield Curve Using the Dynamic Nelson–Siegel Model with Random Level Shift Parameters," Economic Modelling, Elsevier, vol. 94(C), pages 340-350.
    13. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    14. Gordon H. Dash & Nina Kajiji & Domenic Vonella, 2018. "The role of supervised learning in the decision process to fair trade US municipal debt," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 139-168, June.
    15. Manfred M. Fischer & Niko Hauzenberger & Florian Huber & Michael Pfarrhofer, 2021. "General Bayesian time-varying parameter VARs for predicting government bond yields," Papers 2102.13393, arXiv.org.

  9. Matias Escudero & Martin Gonzalez-Rozada & Martin Sola, 2014. "Towards a “New” Inflation Targeting Framework: The Case of Uruguay," Department of Economics Working Papers 2014-01, Universidad Torcuato Di Tella.

    Cited by:

    1. Pierre-Richard Agénor & Koray Alper & Luiz Pereira da Silva, 2015. "External Shocks, Financial Volatility and Reserve Requirements in an Open Economy," Working Papers Series 396, Central Bank of Brazil, Research Department.
    2. Primus, Keyra, 2017. "Excess reserves, monetary policy and financial volatility," Journal of Banking & Finance, Elsevier, vol. 74(C), pages 153-168.
    3. Santiago Camara, 2022. "TANK meets Diaz-Alejandro: Household heterogeneity, non-homothetic preferences & policy design," Papers 2201.02916, arXiv.org.

  10. Michael J. Dueker & Laura E. Jackson & Michael T. Owyang & Martin Sola, 2010. "A Time-Varying Threshold STAR Model with Applications," Working Papers 2010-029, Federal Reserve Bank of St. Louis, revised 10 Aug 2022.

    Cited by:

    1. Lixiong Yang & Chingnun Lee & I‐Po Chen, 2021. "Threshold model with a time‐varying threshold based on Fourier approximation," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 406-430, July.
    2. Zhu, Yanli & Chen, Haiqiang, 2017. "The asymmetry of U.S. monetary policy: Evidence from a threshold Taylor rule with time-varying threshold values," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 522-535.

  11. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2010. "State-Dependent Threshold STAR Models," UFAE and IAE Working Papers 818.10, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

    Cited by:

    1. Michael J. Dueker & Laura E. Jackson & Michael T. Owyang & Martin Sola, 2010. "A Time-Varying Threshold STAR Model with Applications," Working Papers 2010-029, Federal Reserve Bank of St. Louis, revised 10 Aug 2022.

  12. Martín Solá & Zacharias Psaradakis & Fabio Spagnolo & Nicola Spagnolo, 2010. "Some Cautionary Results Concerning Markov-Switching Models with Time-Varying Transition Probabilities," Department of Economics Working Papers 2010-12, Universidad Torcuato Di Tella.

    Cited by:

    1. Marie Bessec, 2019. "Revisiting the transitional dynamics of business-cycle phases with mixed-frequency data," Post-Print hal-02181552, HAL.
    2. Khayat, Guillaume A., 2018. "The impact of setting negative policy rates on banking flows and exchange rates," Economic Modelling, Elsevier, vol. 68(C), pages 1-10.
    3. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2022. "Maximum Likelihood Estimation in Markov Regime‐Switching Models With Covariate‐Dependent Transition Probabilities," Econometrica, Econometric Society, vol. 90(4), pages 1681-1710, July.
    4. Psaradakis, Zacharias & Sola, Martin, 2024. "Markov-Switching Models with State-Dependent Time-Varying Transition Probabilities," Econometrics and Statistics, Elsevier, vol. 29(C), pages 49-63.
    5. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2016. "Maximum Likelihood Estimation in Possibly Misspeci ed Dynamic Models with Time-Inhomogeneous Markov Regimes," Department of Economics Working Papers 2016_04, Universidad Torcuato Di Tella.
    6. Marie Bessec, 2015. "Revisiting the transitional dynamics of business-cycle phases with mixed frequency data," Post-Print hal-01276824, HAL.

  13. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2010. "Multivariate Contemporaneous-Threshold Autoregressive Models," UFAE and IAE Working Papers 817.10, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

    Cited by:

    1. Leena Kalliovirta & Mika Meitz & Pentti Saikkonen, 2015. "A Gaussian Mixture Autoregressive Model for Univariate Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(2), pages 247-266, March.
    2. Kirstin Hubrich & Timo Teräsvirta, 2013. "Thresholds and Smooth Transitions in Vector Autoregressive Models," CREATES Research Papers 2013-18, Department of Economics and Business Economics, Aarhus University.
    3. Zacharias Psaradakis & Martin Sola & Fabio Spagnolo & Nicola Spagnolo, 2009. "Selecting nonlinear time series models using information criteria," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(4), pages 369-394, July.
    4. Jan Pablo Burgard & Matthias Neuenkirch & Matthias Nöckel, 2018. "State-Dependent Transmission of Monetary Policy in the Euro Area," CESifo Working Paper Series 7074, CESifo.
    5. Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "Bayesian Vector Autoregressions with Non-Gaussian Shocks," CReMFi Discussion Papers 5, CReMFi, School of Economics and Finance, QMUL.
    6. Michael Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2009. "Contemporaneous-Threshold Smooth Transition GARCH Models," Department of Economics Working Papers 2009-06, Universidad Torcuato Di Tella.
    7. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2022. "Maximum Likelihood Estimation in Markov Regime‐Switching Models With Covariate‐Dependent Transition Probabilities," Econometrica, Econometric Society, vol. 90(4), pages 1681-1710, July.
    8. MeiChi Huang, 2017. "Vulnerabilities to housing bubbles: Evidence from linkages between housing prices and income fundamentals," International Finance, Wiley Blackwell, vol. 20(1), pages 64-91, March.
    9. Paulo Rodrigues & Nazarii Salish, 2015. "Modeling and forecasting interval time series with threshold models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 9(1), pages 41-57, March.
    10. Kassouri, Yacouba & Altıntaş, Halil, 2020. "Threshold cointegration, nonlinearity, and frequency domain causality relationship between stock price and Turkish Lira," Research in International Business and Finance, Elsevier, vol. 52(C).
    11. Meitz, Mika & Saikkonen, Pentti, 2021. "Testing for observation-dependent regime switching in mixture autoregressive models," Journal of Econometrics, Elsevier, vol. 222(1), pages 601-624.
    12. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2016. "Maximum Likelihood Estimation in Possibly Misspeci ed Dynamic Models with Time-Inhomogeneous Markov Regimes," Department of Economics Working Papers 2016_04, Universidad Torcuato Di Tella.
    13. Henri Nyberg, 2018. "Forecasting US interest rates and business cycle with a nonlinear regime switching VAR model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(1), pages 1-15, January.
    14. Kalliovirta, Leena & Meitz, Mika & Saikkonen, Pentti, 2016. "Gaussian mixture vector autoregression," Journal of Econometrics, Elsevier, vol. 192(2), pages 485-498.
    15. Yin, Ming, 2015. "Estimating Gaussian Mixture Autoregressive model with Sequential Monte Carlo algorithm: A parallel GPU implementation," MPRA Paper 88111, University Library of Munich, Germany, revised 2018.

  14. John Driffill & Martin Sola & Turalay Kenc, 2009. "Real Options with Priced Regime-Switching Risk," Department of Economics Working Papers 2009-09, Universidad Torcuato Di Tella.

    Cited by:

    1. Armerin, Fredrik & Gunnelin, Åke, 2019. "Competitive investment with varying risk premia," Working Paper Series 19/12, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    2. Goto, Makoto & Nishide, Katsumasa & Takashima, Ryuta, 2017. "Leaders, followers, and equity risk premiums in booms and busts," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 207-220.
    3. Makoto Goto & Katsumasa Nishide & Ryuta Takashima, 2013. "Irreversible Investment under Competition with a Markov Switching Regime," KIER Working Papers 861, Kyoto University, Institute of Economic Research.

  15. Michael Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2009. "Contemporaneous-Threshold Smooth Transition GARCH Models," Department of Economics Working Papers 2009-06, Universidad Torcuato Di Tella.

    Cited by:

    1. Kirstin Hubrich & Timo Teräsvirta, 2013. "Thresholds and Smooth Transitions in Vector Autoregressive Models," CREATES Research Papers 2013-18, Department of Economics and Business Economics, Aarhus University.

  16. Michael J. Dueker & Martin Sola, 2008. "Multivariate Markov switching with weighted regime determination: giving France more weight than Finland," Working Papers 2008-001, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Catherine Doz & Anna Petronevich, 2015. "Dating Business Cycle Turning Points for the French Economy: a MS-DFM approach," Documents de travail du Centre d'Economie de la Sorbonne 15009, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.

  17. Guido Sandleris, 2008. "Sovereign Defaults: Information, Investment and Credit," Business School Working Papers 2008-04, Universidad Torcuato Di Tella.

    Cited by:

    1. Manuel Amador & Christopher Phelan, 2018. "Reputation and Sovereign Default," NBER Working Papers 24682, National Bureau of Economic Research, Inc.
    2. Das, Udaibir S. & Papaioannou, Michael G. & Trebesch, Christoph, . "Sovereign Default Risk and Private Sector Access to Capital in Emerging Markets," Chapters in Economics,, University of Munich, Department of Economics.
    3. Fernando Broner & Alberto Martín & Jaume Ventura, 2006. "Sovereign Risk and Secondary Markets," Working Papers 288, Barcelona School of Economics.
    4. Guido Sandleris & Filippo Taddei, 2007. "Indexed Sovereign Debt: a Survey and a Framework of Analysis," Carlo Alberto Notebooks 66, Collegio Carlo Alberto.
    5. Andrew K. Rose & Mark M. Spiegel, 2009. "Noneconomic Engagement and International Exchange: The Case of Environmental Treaties," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 337-363, March.
    6. Arogundade, Sodiq & Biyase, Mduduzi & Eita, Joel Hinaunye, 2022. "Do Sovereign Credit Ratings Matter for Foreign Direct Investment: Evidence from Sub-Sahara African Countries," MPRA Paper 115404, University Library of Munich, Germany.
    7. Michalski, Tomasz & Stoltz, Gilles, 2010. "Do countries falsify economic date strategically? Some evidence that they do," HEC Research Papers Series 930, HEC Paris.
    8. M. Ayhan Kose & Franziska Ohnsorge & Naotaka Sugawara, 2020. "Benefits and Costs of Debt: The Dose Makes the Poison," Koç University-TUSIAD Economic Research Forum Working Papers 2006, Koc University-TUSIAD Economic Research Forum.
    9. Carlo Galli & Marco Bassetto, 2016. "Is Inflation Default? The Role of Information in Debt Crises," 2016 Meeting Papers 308, Society for Economic Dynamics.
    10. Egemen Eren & Semyon Malamud & Haonan Zhou, 2023. "Signaling with debt currency choice," BIS Working Papers 1067, Bank for International Settlements.
    11. Chen, Sheng-Syan & Chen, Hsien-Yi & Chang, Chong-Chuo & Yang, Shu-Ling, 2016. "The relation between sovereign credit rating revisions and economic growth," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 90-100.
    12. Cosmin Ilut & Peter Benczur, 2010. "Evidence for Relational Contracts in Sovereign Bank Lending," 2010 Meeting Papers 91, Society for Economic Dynamics.
    13. Luca Agnello & Vítor Castro & Ricardo M. Sousa, 2018. "The Legacy and the Tyranny of Time: Exit and Re‐Entry of Sovereigns to International Capital Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(8), pages 1969-1994, December.
    14. Cem Karayalcin & Harun Onder, 2019. "Incomplete integration and contagion of debt distress in economic unions," Economics and Politics, Wiley Blackwell, vol. 31(2), pages 194-215, July.
    15. Tomasz Michalski & Gilles Stoltz, 2013. "Do countries falsify economic data strategically? Some evidence that they might," Post-Print halshs-00482106, HAL.
    16. Silvia Marchesi & Tania Masi, 2020. "Life after default. Private and Official Deals," Working Papers 431, University of Milano-Bicocca, Department of Economics, revised Feb 2020.
    17. Carlos Arteta & Galina Hale, 2006. "Sovereign debt crises and credit to the private sector," Working Paper Series 2006-21, Federal Reserve Bank of San Francisco.
    18. Anna Gibert, 2016. "The Signaling Role of Fiscal Austerity," Discussion Papers of DIW Berlin 1623, DIW Berlin, German Institute for Economic Research.
    19. Brutti, Filippo, 2008. "Legal enforcement, public supply of liquidity and sovereign risk," MPRA Paper 13949, University Library of Munich, Germany.
    20. Phan, Toan, 2017. "Sovereign debt signals," Journal of International Economics, Elsevier, vol. 104(C), pages 157-165.
    21. Fløgstad, Cathrin N. & Nordtveit, Ingvild, 2014. "Lending to developing countries: How do official creditors respond to sovereign defaults?," Working Papers in Economics 01/14, University of Bergen, Department of Economics.
    22. Andreasen, Eugenia, 2015. "Sovereign default, enforcement and the private cost of capital," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 411-427.
    23. Romain Ranciere & Ana Fostel & Luis Catao, 2011. "Sudden Stops and Sovereign Defaults," 2011 Meeting Papers 1359, Society for Economic Dynamics.
    24. Horacio Sapriza & Filippo Taddei & Guido Sandleris, 2008. "Indexed Sovereign Debt: An Applied Framework," 2008 Meeting Papers 1064, Society for Economic Dynamics.
    25. Christoph Trebesch & Mr. Michael G. Papaioannou & Mr. Udaibir S Das, 2012. "Sovereign Debt Restructurings 1950-2010: Literature Survey, Data, and Stylized Facts," IMF Working Papers 2012/203, International Monetary Fund.
    26. Silvia Marchesi & Tania Masi, 2019. "Sovereign risk after sovereign restructuring. Private and official default," Working Papers 423, University of Milano-Bicocca, Department of Economics, revised Nov 2019.
    27. Escobar, Juan F. & Llanes, Gastón, 2018. "Cooperation dynamics in repeated games of adverse selection," Journal of Economic Theory, Elsevier, vol. 176(C), pages 408-443.
    28. Grace Weishi Gu & Zachary R. Stangebye, 2023. "Costly Information And Sovereign Risk," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(4), pages 1397-1429, November.
    29. Dirk Niepelt, 2009. "Sovereign Debt Maturity without Commitment," 2009 Meeting Papers 231, Society for Economic Dynamics.
    30. Peter Benczur & Cosmin Ilut, 2011. "Evidence for Dynamic Contracts in Sovereign Bank Lending," Working Papers 11-06, Duke University, Department of Economics.
    31. Juan J. Cruces & Christoph Trebesch, 2011. "Sovereign Defaults: The Price of Haircuts," CESifo Working Paper Series 3604, CESifo.
    32. M. Ayhan Kose & Franziska Ohnsorge & Carmen Reinhart & Kenneth Rogoff, 2021. "The Aftermath of Debt Surges," Koç University-TUSIAD Economic Research Forum Working Papers 2119, Koc University-TUSIAD Economic Research Forum.
    33. Guido Sandleris, 2016. "The Costs of Sovereign Default: Theory and Empirical Evidence," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 1-27, April.
    34. Juan Carlos Hatchondo & Leonardo Martinez & Horacio Sapriza, 2009. "Heterogeneous Borrowers In Quantitative Models Of Sovereign Default," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1129-1151, November.
    35. Joo, Hyungseok & Lee, Yoon-Jin & Yoon, Young-Ro, 2023. "Effects of information quality on signaling through sovereign debt issuance," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 279-304.
    36. Mark Aguiar, 2011. "Comment on "On Graduation from Default, Inflation and Banking Crises: Elusive or Illusion?"," NBER Chapters, in: NBER Macroeconomics Annual 2010, volume 25, pages 37-46, National Bureau of Economic Research, Inc.
    37. Filippo Brutti & Philip Sauré, 2016. "Repatriation Of Debt In The Euro Crisis," Journal of the European Economic Association, European Economic Association, vol. 14(1), pages 145-174, February.
    38. Konstantin Egorov & Michal Fabinger, 2016. "Reputational Effects in Sovereign Default," CIRJE F-Series CIRJE-F-999, CIRJE, Faculty of Economics, University of Tokyo.
    39. Aguiar, Mark & Amador, Manuel, 2014. "Sovereign Debt," Handbook of International Economics, in: Gopinath, G. & Helpman, . & Rogoff, K. (ed.), Handbook of International Economics, edition 1, volume 4, chapter 0, pages 647-687, Elsevier.
    40. Filippo Brutti & Philip U. Sauré, 2014. "Repatriation of Debt in the Euro Crisis: Evidence for the Secondary Market Theory," Working Papers 2014-03, Swiss National Bank.
    41. Trebesch, Christoph & Zabel, Michael, 2017. "The output costs of hard and soft sovereign default," Munich Reprints in Economics 55046, University of Munich, Department of Economics.
    42. Phan, Toan, 2017. "A model of sovereign debt with private information," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 1-17.
    43. Christiaan Bochove, 2014. "External debt and commitment mechanisms: Danish borrowing in Holland, 1763–1825," Economic History Review, Economic History Society, vol. 67(3), pages 652-677, August.
    44. Gibert, Anna, 2022. "Signalling creditworthiness with fiscal austerity," European Economic Review, Elsevier, vol. 144(C).
    45. Catão, Luis A.V. & Fostel, Ana & Kapur, Sandeep, 2009. "Persistent gaps and default traps," Journal of Development Economics, Elsevier, vol. 89(2), pages 271-284, July.
    46. M. Hashem Pesaran & TengTeng Xu, 2013. "Business Cycle Effects of Credit Shocks in a DSGE Model with Firm Defaults," Staff Working Papers 13-19, Bank of Canada.
    47. Ağca, Şenay & Celasun, Oya, 2012. "Sovereign debt and corporate borrowing costs in emerging markets," Journal of International Economics, Elsevier, vol. 88(1), pages 198-208.
    48. Bulent Guler & Yasin Kursat Onder & Temel Taskin, 2022. "Asymmetric Information and Sovereign Debt Disclosure," CAEPR Working Papers 2022-004 Classification-E, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    49. Ugo Panizza & Federico Sturzenegger & Jeromin Zettelmeyer, 2010. "International Government Debt," Business School Working Papers 2010-03, Universidad Torcuato Di Tella.
    50. Nathan M. Jensen & Noel P. Johnston & Chia-yi Lee & Hadi Sahin, 2020. "Crisis and contract breach: The domestic and international determinants of expropriation," The Review of International Organizations, Springer, vol. 15(4), pages 869-898, October.
    51. Mark Aguiar & Manuel Amador, 2013. "Sovereign Debt: A Review," NBER Working Papers 19388, National Bureau of Economic Research, Inc.
    52. Benedikt Mihm, 2016. "Mispricing of Risk in Sovereign Bond Markets with Asymmetric Information," German Economic Review, Verein für Socialpolitik, vol. 17(4), pages 491-511, November.
    53. ,, 2008. "Debt Maturity without Commitment," CEPR Discussion Papers 7093, C.E.P.R. Discussion Papers.
    54. Mr. Gaston Gelos & Mr. Guido M Sandleris & Ms. Ratna Sahay, 2004. "Sovereign Borrowing by Developing Countries: What Determines Market Access?," IMF Working Papers 2004/221, International Monetary Fund.
    55. Aitor Erce, 2012. "Selective sovereign defaults," Globalization Institute Working Papers 127, Federal Reserve Bank of Dallas.
    56. Guido Sandleris, 2010. "Sovereign Defaults, Domestic Credit Market Institutions and Credit to the Private Sector," Business School Working Papers 2010-01, Universidad Torcuato Di Tella.
    57. Blommestein, Hans & Eijffinger, Sylvester & Qian, Zongxin, 2016. "Regime-dependent determinants of Euro area sovereign CDS spreads," Journal of Financial Stability, Elsevier, vol. 22(C), pages 10-21.
    58. Andreasen, Eugenia & Sandleris, Guido & Van der Ghote, Alejandro, 2019. "The political economy of sovereign defaults," Journal of Monetary Economics, Elsevier, vol. 104(C), pages 23-36.
    59. Chen, Sheng-Syan & Chen, Hsien-Yi & Chang, Chong-Chuo & Yang, Shu-Ling, 2013. "How do sovereign credit rating changes affect private investment?," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4820-4833.
    60. Cristina Arellano, 2008. "Default Risk and Income Fluctuations in Emerging Economies," American Economic Review, American Economic Association, vol. 98(3), pages 690-712, June.
    61. Aitor Erce Domiguez, 2010. "Debtor Discrimination During Sovereign Debt Restructurings," 2010 Meeting Papers 1324, Society for Economic Dynamics.
    62. Silvia Marchesi & Tania Masi, 2018. "Life After Default: Private vs. Official Sovereign Debt Restructurings," Development Working Papers 437, Centro Studi Luca d'Agliano, University of Milano.
    63. Martinez, Jose Vicente & Sandleris, Guido, 2011. "Is it punishment? Sovereign defaults and the decline in trade," Journal of International Money and Finance, Elsevier, vol. 30(6), pages 909-930, October.
    64. Luis Catão & Ana Fostel & Romain Ranciere, 2017. "Fiscal Discoveries and Yield Decouplings," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 65(4), pages 704-744, November.
    65. Mihm, Benedikt, 2018. "Biased signaling and yardstick comparisons in a sovereign debt market," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 36-46.
    66. Schwarcz Steven L., 2015. "Sovereign Debt Restructuring: A Model-Law Approach," Journal of Globalization and Development, De Gruyter, vol. 6(2), pages 343-385, December.
    67. Ugo Panizza & Federico Sturzenegger & Jeromin Zettelmeyer, 2009. "The Economics and Law of Sovereign Debt and Default," Journal of Economic Literature, American Economic Association, vol. 47(3), pages 651-698, September.
    68. Perez, Diego J., 2017. "Sovereign debt maturity structure under asymmetric information," Journal of International Economics, Elsevier, vol. 108(C), pages 243-259.
    69. Juan Carlos Hatchondo & Leonardo Martinez, 2009. "Long-duration bonds and sovereign defaults," Working Paper 08-02, Federal Reserve Bank of Richmond.
    70. Guido Sandleris, 2014. "Sovereign Defaults, Credit to the Private Sector, and Domestic Credit Market Institutions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(2-3), pages 321-345, March.
    71. Victor Filipe Martins da Rocha & Yiannis Vailakis, 2014. "Self-enforcing Debt, Reputation, and the Role of Interest Rates," Working Papers hal-01097114, HAL.
    72. Juan Carlos Hatchondo & Leonardo Martinez & Horacio Sapriza, 2007. "The economics of sovereign defaults," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 93(Spr), pages 163-187.
    73. Silvia, Marchesi, 2015. "The cost of default: private vs. official sovereign debt restructurings," Working Papers 320, University of Milano-Bicocca, Department of Economics, revised 28 Dec 2015.
    74. Nikolai Stähler, 2013. "Recent Developments In Quantitative Models Of Sovereign Default," Journal of Economic Surveys, Wiley Blackwell, vol. 27(4), pages 605-633, September.
    75. Viral V. Acharya & Cecilia Parlatore & Suresh Sundaresan, 2022. "Financing Infrastructure in the Shadow of Expropriation," NBER Working Papers 30131, National Bureau of Economic Research, Inc.
    76. Stangebye, Zachary R., 2020. "Beliefs and long-maturity sovereign debt," Journal of International Economics, Elsevier, vol. 127(C).
    77. Toan Phan, 2016. "Information, Insurance and the Sustainability of Sovereign Debt," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 93-108, October.
    78. Brutti, Filippo, 2011. "Sovereign defaults and liquidity crises," Journal of International Economics, Elsevier, vol. 84(1), pages 65-72, May.
    79. Rohan Pitchford & Mark L. J. Wright, 2013. "On the contribution of game theory to the study of sovereign debt and default," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 29(4), pages 649-667, WINTER.
    80. Federico Sturzenegger and Jeromin Zettelmeyer, 2006. "Has the Legal Threat to Sovereign Debt Restructuring Become Real?," Business School Working Papers legalthreat, Universidad Torcuato Di Tella.
    81. Chen, Hsien-Yi & Chen, Sheng-Syan, 2018. "Quality of government institutions and spreads on sovereign credit default swaps," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 82-95.
    82. Christoph Trebesch, 2009. "The Cost of Aggressive Sovereign Debt Policies: How Much is theprivate Sector Affected?," IMF Working Papers 2009/029, International Monetary Fund.

  18. Michael J. Dueker & Martin Sola & Fabio Spagnolo, 2006. "Contemporaneous threshold autoregressive models: estimation, testing and forecasting," Working Papers 2003-024, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2013. "State-Dependent Threshold Smooth Transition Autoregressive Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 835-854, December.
    2. Jiayue Zhang & Fukang Zhu & Huaping Chen, 2023. "Two-Threshold-Variable Integer-Valued Autoregressive Model," Mathematics, MDPI, vol. 11(16), pages 1-20, August.
    3. Bel, K. & Paap, R., 2013. "Modeling the impact of forecast-based regime switches on macroeconomic time series," Econometric Institute Research Papers EI 2013-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Leena Kalliovirta & Mika Meitz & Pentti Saikkonen, 2015. "A Gaussian Mixture Autoregressive Model for Univariate Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(2), pages 247-266, March.
    5. Zacharias Psaradakis & Martin Sola & Fabio Spagnolo & Nicola Spagnolo, 2009. "Selecting nonlinear time series models using information criteria," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(4), pages 369-394, July.
    6. Michael Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2009. "Contemporaneous-Threshold Smooth Transition GARCH Models," Department of Economics Working Papers 2009-06, Universidad Torcuato Di Tella.
    7. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2022. "Maximum Likelihood Estimation in Markov Regime‐Switching Models With Covariate‐Dependent Transition Probabilities," Econometrica, Econometric Society, vol. 90(4), pages 1681-1710, July.
    8. Paulo Rodrigues & Nazarii Salish, 2015. "Modeling and forecasting interval time series with threshold models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 9(1), pages 41-57, March.
    9. Michael Dueker & Martin Sola & Fabio Spagnolo, 2006. "Contemporaneous Threshold Autoregressive Models: Estimation, Testing and Forecasting," Department of Economics Working Papers 2006-04, Universidad Torcuato Di Tella.
    10. Emilio Zanetti Chini, 2017. "Generalizing Smooth Transition Autoregressions," DEM Working Papers Series 138, University of Pavia, Department of Economics and Management.
    11. Haiqiang Chen & Terence Chong & Jushan Bai, 2012. "Theory and Applications of TAR Model with Two Threshold Variables," Econometric Reviews, Taylor & Francis Journals, vol. 31(2), pages 142-170.
    12. Francesco Battaglia & Mattheos Protopapas, 2012. "Multi–regime models for nonlinear nonstationary time series," Computational Statistics, Springer, vol. 27(2), pages 319-341, June.
    13. Meitz, Mika & Saikkonen, Pentti, 2021. "Testing for observation-dependent regime switching in mixture autoregressive models," Journal of Econometrics, Elsevier, vol. 222(1), pages 601-624.
    14. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2016. "Maximum Likelihood Estimation in Possibly Misspeci ed Dynamic Models with Time-Inhomogeneous Markov Regimes," Department of Economics Working Papers 2016_04, Universidad Torcuato Di Tella.
    15. Kalliovirta, Leena & Meitz, Mika & Saikkonen, Pentti, 2016. "Gaussian mixture vector autoregression," Journal of Econometrics, Elsevier, vol. 192(2), pages 485-498.
    16. Francesco Battaglia & Mattheos Protopapas, 2012. "An analysis of global warming in the Alpine region based on nonlinear nonstationary time series models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(3), pages 315-334, August.
    17. Chong, Terence T.L. & Yan, Isabel K., 2018. "Forecasting currency crises with threshold models," International Economics, Elsevier, vol. 156(C), pages 156-174.
    18. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2007. "Multivariate contemporaneous threshold autoregressive models," Working Papers 2007-019, Federal Reserve Bank of St. Louis.
    19. Chong Terence T. L. & He Qing & Hinich Melvin J, 2008. "The Nonlinear Dynamics of Foreign Reserves and Currency Crises," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(4), pages 1-18, December.
    20. Yin, Ming, 2015. "Estimating Gaussian Mixture Autoregressive model with Sequential Monte Carlo algorithm: A parallel GPU implementation," MPRA Paper 88111, University Library of Munich, Germany, revised 2018.
    21. Paulo M.M. Rodrigues & Nazarii Salish, 2011. "Modeling and Forecasting Interval Time Series with Threshold Models: An Application to S&P500 Index Returns," Working Papers w201128, Banco de Portugal, Economics and Research Department.

  19. John Driffill (Birkbeck College) & Martin Sola (UTDT), 2005. "Target Zones for Exchange Rates and Policy Changes," Department of Economics Working Papers 2005-03, Universidad Torcuato Di Tella.

    Cited by:

    1. Peter P. Carr & Zura Kakushadze, 2017. "FX options in target zones," Quantitative Finance, Taylor & Francis Journals, vol. 17(10), pages 1477-1486, October.
    2. Christian Bauer & Paul De Grauwe & Stefan Reitz, 2007. "Exchange Rates Dynamics in a Target Zone – A Heterogeneous Expectations Approach," CESifo Working Paper Series 2080, CESifo.
    3. António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2010. "Exchange Rate Target Zones: A Survey of the Literature," GEMF Working Papers 2010-14, GEMF, Faculty of Economics, University of Coimbra.

  20. Driffill, John & Sola, Martin & Kenc, Turalay & Spagnolo, Fabio, 2004. "On Model Selection and Markov Switching: A Empirical Examination of Term Structure Models with Regime Shifts," CEPR Discussion Papers 4165, C.E.P.R. Discussion Papers.

    Cited by:

    1. Zeno Rotondi, 2006. "The Macroeconomy and the Yield Curve: A Review of the Literature with Some New Evidence," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 65(2), pages 193-224, November.
    2. Choi Seungmoon, 2009. "Regime-Switching Univariate Diffusion Models of the Short-Term Interest Rate," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(1), pages 1-41, March.

  21. Kenc, Turalay & John Driffill & Martin Sola, 2003. "An Empirical Examination of Term Structure Models with Regime Shifts," Royal Economic Society Annual Conference 2003 119, Royal Economic Society.

    Cited by:

    1. Andrei Cozma & Christoph Reisinger, 2015. "A mixed Monte Carlo and PDE variance reduction method for foreign exchange options under the Heston-CIR model," Papers 1509.01479, arXiv.org, revised Apr 2016.
    2. Alain Monfort & Fulvio Pegoraro, 2007. "Switching VARMA Term Structure Models - Extended Version," Working Papers 2007-19, Center for Research in Economics and Statistics.
    3. Christina Erlwein & Rogemar Mamon, 2009. "An online estimation scheme for a Hull–White model with HMM-driven parameters," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 87-107, March.
    4. Choi Seungmoon, 2009. "Regime-Switching Univariate Diffusion Models of the Short-Term Interest Rate," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(1), pages 1-41, March.
    5. 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.
    6. Jardet, C. & Monfort, A. & Pegoraro, F., 2009. "No-arbitrage Near-Cointegrated VAR(p) Term Structure Models, Term Premia and GDP Growth," Working papers 234, Banque de France.

  22. Ravn, Morten & Sola, Martin & Psaradakis, Zacharias, 2003. "Markov Switching Causality and the Money-Output Relationship," CEPR Discussion Papers 3803, C.E.P.R. Discussion Papers.

    Cited by:

    1. Yunus Aksoy & Rubens Morita & Zacharias Psaradakis, 2019. "The Chair of the U.S. Federal Reserve and the Macroeconomic Causality Regimes," CESifo Working Paper Series 8035, CESifo.
    2. Tae-Hwy Lee & Weiping Yang, 2012. "Money–Income Granger-Causality in Quantiles," Advances in Econometrics, in: 30th Anniversary Edition, pages 385-409, Emerald Group Publishing Limited.
    3. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    4. Maral Kichian, 2012. "Financial Conditions and the Money-Output Relationship in Canada," Staff Working Papers 12-33, Bank of Canada.
    5. Dobromil Serwa, 2008. "Larger crises cost more: impact of banking sector instability on output growth," Working Papers 25, Department of Applied Econometrics, Warsaw School of Economics.
    6. Shu-Ping Shi & Stan Hurn & Peter C. B. Phillips, 2016. "Causal Change Detection in Possibly Integrated Systems: Revisiting the Money-Income Relationship," Cowles Foundation Discussion Papers 2059, Cowles Foundation for Research in Economics, Yale University.
    7. Zheng, Tingguo & Zuo, Haomiao, 2013. "Reexamining the time-varying volatility spillover effects: A Markov switching causality approach," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 643-662.
    8. Balcilar, Mehmet & Gungor, Hasan & Hammoudeh, Shawkat, 2015. "The time-varying causality between spot and futures crude oil prices: A regime switching approach," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 51-71.
    9. Wang, Xia & Zheng, Tingguo & Zhu, Yanli, 2014. "Money–output Granger causal dynamics in China," Economic Modelling, Elsevier, vol. 43(C), pages 192-200.
    10. Marcin Owczarczuk, 2009. "Maximum Score Type Estimators," Working Papers 30, Department of Applied Econometrics, Warsaw School of Economics.
    11. Caraiani, Petre, 2016. "Money and output causality: A structural approach," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 220-236.
    12. Berger, Helge & Österholm, Pär, 2009. "Does money still matter for U.S. output?," Economics Letters, Elsevier, vol. 102(3), pages 143-146, March.
    13. Petre Caraiani, 2014. "Do money and financial variables help forecasting output in emerging European Economies?," Empirical Economics, Springer, vol. 46(2), pages 743-763, March.
    14. Dimitris K. Christopoulos & Miguel A. León-Ledesma, 2008. "Testing for Granger (non-)causality in a time-varying coefficient VAR model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(4), pages 293-303.
    15. Li, Haiqi & Zhong, Wanling & Park, Sung Y., 2016. "Generalized cross-spectral test for nonlinear Granger causality with applications to money–output and price–volume relations," Economic Modelling, Elsevier, vol. 52(PB), pages 661-671.
    16. Andreopoulos Spyros, 2009. "Oil Matters: Real Input Prices and U.S. Unemployment Revisited," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-31, March.
    17. BenSaïda, Ahmed & Litimi, Houda & Abdallah, Oussama, 2018. "Volatility spillover shifts in global financial markets," Economic Modelling, Elsevier, vol. 73(C), pages 343-353.
    18. Al-Habashneh Fedel Mayuf, 2022. "The Narrow and Expanded Money Supply and Its Impact on Interest Rate and Product of the Private Sector in Jordan during the Period (1990–2019)," Foundations of Management, Sciendo, vol. 14(1), pages 143-154, January.
    19. Clements, Adam & Hurn, Stan & Shi, Shuping, 2017. "An empirical investigation of herding in the U.S. stock market," Economic Modelling, Elsevier, vol. 67(C), pages 184-192.
    20. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2011. "Forecasting Nevada Gross Gaming Revenue and Taxable Sales Using Coincident and Leading Employment Indexes," Working Papers 1103, University of Nevada, Las Vegas , Department of Economics.
    21. Yong Song & Tomasz Wo'zniak, 2020. "Markov Switching," Papers 2002.03598, arXiv.org.
    22. Mehmet Balcilar & Zeynel Ozdemir, 2013. "The export-output growth nexus in Japan: a bootstrap rolling window approach," Empirical Economics, Springer, vol. 44(2), pages 639-660, April.
    23. Bildirici, Melike, 2012. "Economic Growth and Electricity Consumption in Africa and Asia: MS-VAR and MS-GRANGER Causality Analysis," MPRA Paper 40515, University Library of Munich, Germany.
    24. Matteo Farnè & Angela Montanari, 2022. "A Bootstrap Method to Test Granger-Causality in the Frequency Domain," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 935-966, March.
    25. Mehmet Balcilar & Zeynel Abidin Ozdemir & Muhammad Shahbaz, 2019. "On the time‐varying links between oil and gold: New insights from the rolling and recursive rolling approaches," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 1047-1065, July.
    26. Geraci, Marco Valerio & Gnabo, Jean-Yves, 2018. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying Vector Autoregressions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1371-1390, June.
    27. Roula Inglesi-Lotz & Mehmet Balcilar & Rangan Gupta, 2013. "Time-Varying Causality between Research Output and Economic Growth in the US," Working Papers 201350, University of Pretoria, Department of Economics.
    28. Arslanturk, Yalcin & Balcilar, Mehmet & Ozdemir, Zeynel Abidin, 2011. "Time-varying linkages between tourism receipts and economic growth in a small open economy," Economic Modelling, Elsevier, vol. 28(1), pages 664-671.
    29. Mihai Mutascu & Alexandre Sokic, 2023. "An extended wavelet approach of the money–output link in the United States," Empirical Economics, Springer, vol. 64(4), pages 1647-1665, April.
    30. Matthieu Droumaguet & Tomasz Wozniak, 2012. "Bayesian Testing of Granger Causality in Markov-Switching VARs," Economics Working Papers ECO2012/06, European University Institute.
    31. Carl-Henrik Dahlqvist, 2018. "Cross-country information transmissions and the role of commodity markets: A multichannel Markov switching approach," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-22, August.
    32. Monica Billio & Silvio Di Sanzo, 2015. "Granger-causality in Markov switching models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(5), pages 956-966, May.
    33. Albulescu, Claudiu Tiberiu & Ajmi, Ahdi Noomen, 2021. "Oil price and US dollar exchange rate: Change detection of bi-directional causal impact," Energy Economics, Elsevier, vol. 100(C).
    34. Sui, Jianli & Liu, Biying & Li, Zhigang & Zhang, Chengping, 2022. "Monetary and macroprudential policies, output, prices, and financial stability," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 212-233.
    35. Stan Hurn & Peter C. B. Phillips & Shu-Ping Shi, 2016. ""Change Detection and the Causal Impact of the Yield Curve," Cowles Foundation Discussion Papers 2058, Cowles Foundation for Research in Economics, Yale University.
    36. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working Papers 201230, University of Pretoria, Department of Economics.
    37. Gomes, Pedro & Kurter, Zeynep O. & Morita, Rubens, 2022. "European Sovereign Bond and Stock Market Granger Causality Dynamics," The Warwick Economics Research Paper Series (TWERPS) 1405, University of Warwick, Department of Economics.
    38. Mensi, Walid & Reboredo, Juan C. & Ugolini, Andrea & Vo, Xuan Vinh, 2022. "Switching connectedness between real estate investment trusts, oil, and gold markets," Finance Research Letters, Elsevier, vol. 49(C).
    39. Jin Zhang and David C. Broadstock, 2016. "The Causality between Energy Consumption and Economic Growth for China in a Time-varying Framework," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    40. Bildirici, Melike E. & Gökmenoğlu, Seyit M., 2017. "Environmental pollution, hydropower energy consumption and economic growth: Evidence from G7 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 68-85.
    41. Lin, Ling & Zhou, Zhongbao & Liu, Qing & Jiang, Yong, 2019. "Risk transmission between natural gas market and stock markets: portfolio and hedging strategy analysis," Finance Research Letters, Elsevier, vol. 29(C), pages 245-254.
    42. Kandemir Kocaaslan, Ozge, 2013. "The causal link between energy and output growth: Evidence from Markov switching Granger causality," Energy Policy, Elsevier, vol. 63(C), pages 1196-1206.
    43. Cai, Charlie X. & Mobarek, Asma & Zhang, Qi, 2017. "International stock market leadership and its determinants," Journal of Financial Stability, Elsevier, vol. 33(C), pages 150-162.
    44. Olivier Habimana, 2019. "Wavelet Multiresolution Analysis of the Liquidity Effect and Monetary Neutrality," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 85-110, January.
    45. Serletis, Apostolos & Xu, Libo, 2020. "Functional monetary aggregates, monetary policy, and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    46. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    47. Hong-Ghi Min & Judith A. McDonald & Sang-Ook Shin, 2016. "What Makes a Safe Haven? Equity and Currency Returns for Six OECD Countries during the Financial Crisis," Annals of Economics and Finance, Society for AEF, vol. 17(2), pages 365-402, November.
    48. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2007. "Multivariate contemporaneous threshold autoregressive models," Working Papers 2007-019, Federal Reserve Bank of St. Louis.
    49. Kangogo, Moses & Volkov, Vladimir, 2022. "Detecting signed spillovers in global financial markets: A Markov-switching approach," International Review of Financial Analysis, Elsevier, vol. 82(C).
    50. Caraiani, Petre, 2012. "Money and output: New evidence based on wavelet coherence," Economics Letters, Elsevier, vol. 116(3), pages 547-550.
    51. Bialkowski, Jedrzej & Bohl, Martin T. & Serwa, Dobromil, 2006. "Testing for financial spillovers in calm and turbulent periods," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(3), pages 397-412, July.
    52. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Arslanturk, Yalcin, 2010. "Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window," Energy Economics, Elsevier, vol. 32(6), pages 1398-1410, November.
    53. Mehmet Balcilar & Zeynel Abidin Ozdemir, 2013. "Asymmetric and Time-Varying Causality between Inflation and Inflation Uncertainty in G-7 Countries," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(1), pages 1-42, February.
    54. Jing-Tung WU, 2016. "The Markov-switching Granger Causality of Asia-Pacific Exchange Rates," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 94-115, September.
    55. Matthieu Droumaguet & Anders Warne & Tomasz Wozniak, 2015. "Granger Causality and Regime Inference in Bayesian Markov-Switching VARs," Department of Economics - Working Papers Series 1191, The University of Melbourne.
    56. Spyros Andreopoulos, 2006. "The real interest rate, the real oil price, and US unemployment revisited," Bristol Economics Discussion Papers 06/592, School of Economics, University of Bristol, UK.
    57. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    58. Marco Valerio Geraci & Jean-Yves Gnabo, 2015. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying VARS," Working Papers ECARES ECARES 2015-51, ULB -- Universite Libre de Bruxelles.

  23. fabio spagnolod & Zacharias Psaradakis & Martin Sola, 2003. "Testing the Unbiased Forward Exchange Rate Hypothesis Using a Markov Switching Model and Instrumental Variables," Economics and Finance Discussion Papers 03-15, Economics and Finance Section, School of Social Sciences, Brunel University.

    Cited by:

    1. Manamba Epaphra & Khatibu Kazungu, 2021. "Efficiency of Tanzania's foreign exchange market," African Development Review, African Development Bank, vol. 33(2), pages 368-381, June.
    2. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00658540, HAL.
    3. Haroon Mumtaz & Paolo Surico, 2015. "The Transmission Mechanism In Good And Bad Times," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1237-1260, November.
    4. Zheng, Tingguo & Zuo, Haomiao, 2013. "Reexamining the time-varying volatility spillover effects: A Markov switching causality approach," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 643-662.
    5. Jinho Bae & Chang-Jin Kim & Dong Heon Kim, 2011. "The Evolution of the Monetary Policy Regimes in the U.S," Discussion Paper Series 1102, Institute of Economic Research, Korea University.
    6. Caglayan, Mustafa & Kandemir Kocaaslan, Ozge & Mouratidis, Kostas, 2016. "Financial Depth and the Asymmetric Impact of Monetary Policy," MPRA Paper 75250, University Library of Munich, Germany, revised Aug 2016.
    7. Alejandro Islas-Camargo & Willy Walter Cortez & Tania Pamela Sanabria Flores, 2018. "Is Mexico's Forward Exchange Rate Market Efficient?," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 13(2), pages 273-289, Abril-Jun.
    8. Zhiguang Wang & Prasad Bidarkota, 2012. "Risk premia in forward foreign exchange rates: a comparison of signal extraction and regression methods," Empirical Economics, Springer, vol. 42(1), pages 21-51, February.
    9. Saba Qureshi & Muhammad Aftab, 2023. "Exchange Rate Interdependence in ASEAN Markets: A Wavelet Analysis," Global Business Review, International Management Institute, vol. 24(6), pages 1180-1204, December.
    10. Balvers, Ronald J. & Klein, Alina F., 2014. "Currency risk premia and uncovered interest parity in the International CAPM," Journal of International Money and Finance, Elsevier, vol. 41(C), pages 214-230.
    11. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2015. "The Role of Financial Depth on The Asymmetric Impact of Monetary Policy," EcoMod2015 8285, EcoMod.
    12. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Post-Print halshs-00658540, HAL.
    13. Phungo, Muka & Bonga-Bonga, Lumengo, 2019. "An analysis of the unbiased forward rate hypothesis in developed and emerging economies," MPRA Paper 92222, University Library of Munich, Germany.
    14. Argyropoulos Efthymios & Tzavalis Elias, 2015. "Term spread regressions of the rational expectations hypothesis of the term structure allowing for risk premium effects," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(1), pages 49-70, February.
    15. Mustafa Caglayan & Ozge Kandemir & Kostas Mouratidis, 2012. "The Impact of Inflation Uncertainty on Economic Growth: A MRS-IV Approach," Working Papers 2012025, The University of Sheffield, Department of Economics.
    16. Yang, Lu & Cai, Xiao Jing & Zhang, Huimin & Hamori, Shigeyuki, 2016. "Interdependence of foreign exchange markets: A wavelet coherence analysis," Economic Modelling, Elsevier, vol. 55(C), pages 6-14.
    17. Shyh-Wei Chen, 2010. "Testing the hypothesis of market efficiency in the Taiwan-US forward exchange market since 1990," Applied Economics, Taylor & Francis Journals, vol. 42(1), pages 121-132.
    18. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    19. Psaradakis Zacharias & Sola Martin & Spagnolo Fabio, 2006. "Instrumental-Variables Estimation in Markov Switching Models with Endogenous Explanatory Variables: An Application to the Term Structure of Interest Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-31, May.
    20. Wang Xia & Shang Yuhuang & Zheng Tingguo, 2014. "An extensive study on Markov switching models with endogenous regressors," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(4), pages 1-16, September.
    21. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2016. "Regime Dependent Effects of Inflation Uncertainty on Real Growth: A Markov Switching Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(2), pages 135-155, May.
    22. Brian Lucey & Grace Loring, 2012. "Forward Exchange Rate Biasedness across Developed and Developing Country Currencies - Do Observed Patterns Persist Out of Sample?Abstract:," The Institute for International Integration Studies Discussion Paper Series iiisdp404, IIIS.
    23. Mustafa Caglayan & Ozge Kandemir & Kostas Mouratidis, 2011. "Real effects of inflation uncertainty in the US," Working Papers 2011002, The University of Sheffield, Department of Economics, revised Feb 2015.

  24. Martin Sola & Zacharias Psaradakis, 2002. "On Detrending and Cyclical Asymmetry," Department of Economics Working Papers 020, Universidad Torcuato Di Tella.

    Cited by:

    1. Knüppel, Malte, 2004. "Testing for business cycle asymmetries based on autoregressions with a Markov-switching intercept," Discussion Paper Series 1: Economic Studies 2004,41, Deutsche Bundesbank.
    2. Claude Diebolt & Jamel Trabelsi, 2008. "Human Capital and French Macroeconomic Growth in the Long Run," Working Papers 08-11, Association Française de Cliométrie (AFC).
    3. Steven Cook & Alan Speight, 2006. "International Business Cycle Asymmetry and Time Irreversible Nonlinearities," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(10), pages 1051-1065.
    4. Knüppel, Malte, 2008. "Can capacity constraints explain asymmetries," Discussion Paper Series 1: Economic Studies 2008,01, Deutsche Bundesbank.
    5. Sonia de Lucas Santos & M. Jesús Delgado Rodríguez & Inmaculada Álvarez Ayuso & José Luis Cendejas Bueno, 2011. "Los ciclos económicos internacionales: antecedentes y revisión de la literatura," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, vol. 34(95), pages 73-84, Agosto.
    6. Mogens Fosgerau & Jinwon Kim & Abhishek Ranjan, 2017. "Vickrey Meets Alonso: Commute Scheduling and Congestion in a Monocentric City," Discussion Papers 17-25, University of Copenhagen. Department of Economics.
    7. Medhioub, Imed, 2007. "Asymétrie des cycles économiques et changement de régimes : cas de la Tunisie," L'Actualité Economique, Société Canadienne de Science Economique, vol. 83(4), pages 529-553, décembre.
    8. David Gray, 2020. "An international housing market in the British Isles: Evidence from business and medium-term cycles using a Friedman test," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 307-322, February.
    9. Dagum, Estela Bee & Giannerini, Simone, 2006. "A critical investigation on detrending procedures for non-linear processes," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 175-191, March.
    10. Li Jing, 2016. "Effects of filtering data on testing asymmetry in threshold autoregressive models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(5), pages 549-565, December.
    11. Fukuda, Kosei, 2012. "Illustrating extraordinary shocks causing trend breaks," Economic Modelling, Elsevier, vol. 29(4), pages 1045-1052.
    12. Steven Cook & Alan Speight, 2006. "Time deformation in UK consumers' expenditure: an empirical analysis of highly disaggregated data," Applied Economics Letters, Taylor & Francis Journals, vol. 13(8), pages 471-478.
    13. Steven Cook & Alan Speight, 2007. "Time Irreversibility in Consumers' Expenditure: An Analysis of Disaggregated Data," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(4), pages 561-575.
    14. Anton A. Cheremukhin & Antonella Tutino, 2014. "Asymmetric firm dynamics under rational inattention," Working Papers 1411, Federal Reserve Bank of Dallas.
    15. Cook, S., 2004. "On the Detection of Business Cycles Asymmetry in 22 Countries, 1870-1994," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 4(1).
    16. Narayan, Paresh Kumar & Popp, Stephan, 2009. "Can the electricity market be characterised by asymmetric behaviour?," Energy Policy, Elsevier, vol. 37(11), pages 4364-4372, November.
    17. Engel, J. & Haugh, D. & Pagan, A., 2005. "Some methods for assessing the need for non-linear models in business cycle analysis," International Journal of Forecasting, Elsevier, vol. 21(4), pages 651-662.
    18. Jensen, Henrik & Ravn, Søren Hove & Santoro, Emiliano, 2016. "Deepening Contractions and Collateral Constraints," CEPR Discussion Papers 11166, C.E.P.R. Discussion Papers.
    19. Petrella, Ivan & Pfajfar, Damjan & Santoro, Emiliano & Gaffeo, Edoardo, 2014. "Loss Aversion and the Asymmetric Transmission of Monetary Policy," CEPR Discussion Papers 10105, C.E.P.R. Discussion Papers.
    20. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Testing for sign and amplitude asymmetries using threshold autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 30(4), pages 623-654, April.
    21. A. Pagan & J. Engel & D. Haugh, 2004. "Some Methods for Assessing the Need for Non-linear Models in Business Cycle Analysis and Forecasting," Econometric Society 2004 Australasian Meetings 284, Econometric Society.
    22. David E. Giles & Chad N. Stroomer, 2004. "Identifying the Cycle of a Macroeconomic Time-Series Using Fuzzy Filtering," Econometrics Working Papers 0406, Department of Economics, University of Victoria.
    23. Santos, Sonia de Lucas & Rodríguez, María Jesús Delgado & Ayuso, Inmaculada Álvarez, 2011. "Application of factor models for the identification of countries sharing international reference-cycles," Economic Modelling, Elsevier, vol. 28(6), pages 2424-2431.
    24. Steven Cook & Alan Speight, 2005. "A deeper look at asymmetries in UK consumers' expenditure: the nonparametric analysis of 100 disaggregates," Applied Economics, Taylor & Francis Journals, vol. 37(8), pages 893-900.

  25. Martin Sola & Fabio Spagnolo & Nicola Spagnolo, 2002. "A Test for Volatility Spillovers," Economics and Finance Discussion Papers 02-04, Economics and Finance Section, School of Social Sciences, Brunel University.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers and Asymmetries in Major Crude Oil Spot, Forward and Futures Markets," KIER Working Papers 717, Kyoto University, Institute of Economic Research.
    2. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets," Working Papers in Economics 10/19, University of Canterbury, Department of Economics and Finance.
    3. Zheng, Tingguo & Zuo, Haomiao, 2013. "Reexamining the time-varying volatility spillover effects: A Markov switching causality approach," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 643-662.
    4. Marcin Owczarczuk, 2009. "Maximum Score Type Estimators," Working Papers 30, Department of Applied Econometrics, Warsaw School of Economics.
    5. Gebka, Bartosz & Serwa, Dobromil, 2007. "Intra- and inter-regional spillovers between emerging capital markets around the world," Research in International Business and Finance, Elsevier, vol. 21(2), pages 203-221, June.
    6. Gebka, Bartosz & Serwa, Dobromil, 2006. "Are financial spillovers stable across regimes?: Evidence from the 1997 Asian crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(4), pages 301-317, October.
    7. Andrea Cipollini & Kostas Mouratidis & Nicola Spagnolo, 2008. "Evaluating currency crises: the case of the European monetary system," Empirical Economics, Springer, vol. 35(1), pages 11-27, August.
    8. Lopes, José Mário & Nunes, Luis C., 2012. "A Markov regime switching model of crises and contagion: The case of the Iberian countries in the EMS," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 1141-1153.
    9. Ahmed Shamiri & Abu Hassan, 2005. "Modeling and Forecasting Volatility of the Malaysian and the Singaporean stock indices using Asymmetric GARCH models and Non-normal Densities," Econometrics 0509015, University Library of Munich, Germany.
    10. Charlotte Christiansen, 2007. "Level-ARCH Short Rate Models with Regime Switching: Bivariate Modeling of US and European Short Rates," CREATES Research Papers 2007-05, Department of Economics and Business Economics, Aarhus University.
    11. Baele, Lieven & Inghelbrecht, Koen, 2010. "Time-varying integration, interdependence and contagion," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 791-818, September.
    12. Yu, Jung-Suk & Hassan, M. Kabir, 2008. "Global and regional integration of the Middle East and North African (MENA) stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(3), pages 482-504, August.
    13. Andres Kuusk & Tiiu Paas, 2010. "Contagion Of Financial Crises With Special Emphasis On Cee Economies: A Metaanalysis," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 66, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    14. L. Scaffidi Domianello & G.M. Gallo & E. Otranto, 2022. "Smooth and Abrupt Dynamics in Financial Volatility: the MS-MEM-MIDAS," Working Paper CRENoS 202205, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    15. Laura Wallenius & Elena Fedorova & Sheraz Ahmed & Mikael Collan, 2017. "Surprise Effect of Euro Area Macroeconomic Announcements on CIVETS Stock Markets," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(1), pages 55-71.
    16. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Forecasting Volatility and Spillovers in Crude Oil Spot, Forward and Futures Markets," CARF F-Series CARF-F-163, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    17. Nikos Nomikos & Enrique Salvador, 2014. "The role of volatility regimes on volatility transmission patterns," Quantitative Finance, Taylor & Francis Journals, vol. 14(1), pages 1-13, January.
    18. María José Melendez & Marco Morales & Guillermo Yáñez, 2010. "Transmisión de Shocks y Acoplamiento con Mercados Accionarios Externos: Efectos Asimétricos y Quiebre Estructural," Working Papers 11, Facultad de Economía y Empresa, Universidad Diego Portales.
    19. Kostas Mouratidis & Dimitris Kenourgios & Aris Samitas, 2010. "Evaluating currency crisis:A multivariate Markov switching approach," Working Papers 2010018, The University of Sheffield, Department of Economics, revised Oct 2010.
    20. Yoon Hong & Ji-chul Lee & Guoping Ding, 2017. "Volatility Clustering, New Heavy-Tailed Distribution and the Stock Market Returns in South Korea," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 6(3), pages 164-169, September.
    21. Kui Fan & Zudi Lu & Shouyang Wang, 2009. "Dynamic Linkages Between the China and International Stock Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 16(3), pages 211-230, September.
    22. Jedrzej Białkowski & Dobromił Serwa, 2005. "Financial contagion, spillovers and causality in the Markov switching framework," Quantitative Finance, Taylor & Francis Journals, vol. 5(1), pages 123-131.
    23. Bialkowski, Jedrzej & Bohl, Martin T. & Serwa, Dobromil, 2006. "Testing for financial spillovers in calm and turbulent periods," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(3), pages 397-412, July.
    24. Elena Fedorova & Kashif Saleem, 2010. "Volatility Spillovers between Stock and Currency Markets: Evidence from Emerging Eastern Europe," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 60(6), pages 519-533, December.
    25. Sola, Martin & Spagnolo, Fabio & Spagnolo, Nicola, 2007. "Predicting Markov volatility switches using monetary policy variables," Economics Letters, Elsevier, vol. 95(1), pages 110-116, April.

  26. John Driffill & Turalay Kenc & Martin Sola, 2002. "Merton-style option pricing under regime switching," Computing in Economics and Finance 2002 304, Society for Computational Economics.

    Cited by:

    1. Giuseppe Di Graziano & L. C. G. Rogers, 2009. "Equity with Markov-modulated dividends," Quantitative Finance, Taylor & Francis Journals, vol. 9(1), pages 19-26.
    2. Buckley, Ian & Saunders, David & Seco, Luis, 2008. "Portfolio optimization when asset returns have the Gaussian mixture distribution," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1434-1461, March.
    3. Zhengjun Jiang & Martijn Pistorius, 2008. "Optimal dividend distribution under Markov-regime switching," Papers 0812.4978, arXiv.org, revised Apr 2011.
    4. Zhengjun Jiang & Martijn Pistorius, 2012. "Optimal dividend distribution under Markov regime switching," Finance and Stochastics, Springer, vol. 16(3), pages 449-476, July.

  27. Martin Sola & M Karansos & Zacharias Psaradakis, 2002. "On the autocorrelation properties of Long Memory Garch Processes," Department of Economics Working Papers 025, Universidad Torcuato Di Tella.

    Cited by:

    1. Richard T. Baillie & Young Wook Han, 2019. "Long Memory Volatility, Central Bank Intervention and Uncovered Interest Rate Parity in the 1920s Exchange Markets," Korean Economic Review, Korean Economic Association, vol. 35, pages 183-203.
    2. Melike Bildirici & Özgür Ömer Ersin, 2014. "Nonlinearity, Volatility and Fractional Integration in Daily Oil Prices: Smooth Transition Autoregressive ST-FI(AP)GARCH Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 108-135, October.
    3. Conrad, Christian & Karanasos, Menelaos & Zeng, Ning, 2011. "Multivariate fractionally integrated APARCH modeling of stock market volatility: A multi-country study," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 147-159, January.
    4. Adnen Ben Nasr & Ahdi N. Ajmi & Rangan Gupta, 2013. "Modeling the Volatility of the Dow Jones Islamic Market World Index Using a Fractionally Integrated Time Varying GARCH (FITVGARCH) Model," Working Papers 201357, University of Pretoria, Department of Economics.
    5. Tomasz Wójtowicz & Henryk Gurgul, 2009. "Long memory of volatility measures in time series," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(1), pages 37-54.
    6. Richard T. Baillie & Claudio Morana, 2014. "Modeling Long Memory and Structural Breaks in Conditional Variances: An Adaptive FIGARCH Approach," Working Papers 593, Queen Mary University of London, School of Economics and Finance.
    7. Alexander, Carol & Lazar, Emese & Stanescu, Silvia, 2021. "Analytic moments for GJR-GARCH (1, 1) processes," International Journal of Forecasting, Elsevier, vol. 37(1), pages 105-124.
    8. Ruiz Esther & Pérez Ana, 2012. "Maximally Autocorrelated Power Transformations: A Closer Look at the Properties of Stochastic Volatility Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(3), pages 1-33, September.
    9. Axel Groß-Klußmann & Nikolaus Hautsch, 2011. "Predicting Bid-Ask Spreads Using Long Memory Autoregressive Conditional Poisson Models," SFB 649 Discussion Papers SFB649DP2011-044, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    10. Pan, Qunxing & Li, Peng & Du, Xiuli, 2023. "An improved FIGARCH model with the fractional differencing operator (1-νL)d," Finance Research Letters, Elsevier, vol. 55(PB).
    11. Carl Lönnbark, 2016. "Asymmetry with respect to the memory in stock market volatilities," Empirical Economics, Springer, vol. 50(4), pages 1409-1419, June.
    12. Carol Alexander & Emese Lazar & Silvia Stanescu, 2010. "Analytic Moments for GARCH Processes," ICMA Centre Discussion Papers in Finance icma-dp2011-07, Henley Business School, University of Reading, revised Apr 2011.
    13. Conrad, Christian & Karanasos, Menelaos, 2006. "The impulse response function of the long memory GARCH process," Economics Letters, Elsevier, vol. 90(1), pages 34-41, January.
    14. Morten Ørregaard Nielsen & Antoine L. Noël, 2020. "To infinity and beyond: Efficient computation of ARCH(\infty) models," Working Paper 1425, Economics Department, Queen's University.
    15. Adnen Ben Nasr & Mohamed Boutahar & Abdelwahed Trabelsi, 2010. "Fractionally integrated time varying GARCH model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(3), pages 399-430, August.
    16. Feng, Lingbing & Fu, Tong & Shi, Yanlin, 2022. "How does news sentiment affect the states of Japanese stock return volatility?," International Review of Financial Analysis, Elsevier, vol. 84(C).
    17. Pérez, Ana & Ruiz, Esther & Veiga, Helena, 2009. "A note on the properties of power-transformed returns in long-memory stochastic volatility models with leverage effect," Computational Statistics & Data Analysis, Elsevier, vol. 53(10), pages 3593-3600, August.
    18. M. Karanasos & S. Yfanti & A. Christopoulos, 2021. "The long memory HEAVY process: modeling and forecasting financial volatility," Annals of Operations Research, Springer, vol. 306(1), pages 111-130, November.
    19. Klein, Tony & Walther, Thomas, 2017. "Fast fractional differencing in modeling long memory of conditional variance for high-frequency data," Finance Research Letters, Elsevier, vol. 22(C), pages 274-279.
    20. Morten Ørregaard Nielsen & Antoine L. Noël, 2020. "To infinity and beyond: Efficient computation of ARCH(1) models," CREATES Research Papers 2020-13, Department of Economics and Business Economics, Aarhus University.
    21. Christian Conrad, 2007. "Non-negativity Conditions for the Hyperbolic GARCH Model," KOF Working papers 07-162, KOF Swiss Economic Institute, ETH Zurich.
    22. Feng, Yuanhua & Zhou, Chen, 2015. "Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD," International Journal of Forecasting, Elsevier, vol. 31(2), pages 349-363.
    23. Yuanhua Feng & Thomas Gries & Sebastian Letmathe, 2023. "FIEGARCH, modulus asymmetric FILog-GARCH and trend-stationary dual long memory time series," Working Papers CIE 156, Paderborn University, CIE Center for International Economics.
    24. Bildirici, Melike & Ersin, Özgür, 2012. "Nonlinear volatility models in economics: smooth transition and neural network augmented GARCH, APGARCH, FIGARCH and FIAPGARCH models," MPRA Paper 40330, University Library of Munich, Germany, revised May 2012.
    25. Park, Sangjin & Jang, Kwahngsoo & Yang, Jae-Suk, 2021. "Information flow between bitcoin and other financial assets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    26. Wilfredo Palma & Mauricio Zevallos, 2004. "Analysis of the correlation structure of square time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(4), pages 529-550, July.
    27. Yuanhua Feng & Jan Beran & Sebastian Letmathe & Sucharita Ghosh, 2020. "Fractionally integrated Log-GARCH with application to value at risk and expected shortfall," Working Papers CIE 137, Paderborn University, CIE Center for International Economics.

  28. Vasco J. Gabriel & Martin Sola & Zacharias Psaradakis, 2002. "Residual-based tests for cointegration and multiple regime shifts," NIPE Working Papers 7/2002, NIPE - Universidade do Minho.

    Cited by:

    1. Carol Alexander & Anca Dimitriu, 2003. "Equity Indexing: Conitegration and Stock Price Dispersion: A Regime Switiching Approach to market Efficiency," ICMA Centre Discussion Papers in Finance icma-dp2003-02, Henley Business School, University of Reading.
    2. Gabriel, Vasco J. & Psaradakis, Zacharias & Sola, Martin, 2002. "A simple method of testing for cointegration subject to multiple regime changes," Economics Letters, Elsevier, vol. 76(2), pages 213-221, July.
    3. Vasco J. Gabriel & Martin Sola & Zacharias Psaradakis, 2001. "A simple method for testing cointegration subject to regime changes," NIPE Working Papers 15/2001, NIPE - Universidade do Minho.

  29. Garratt, Anthony & Psaradakis, Zacharias & Sola, Martin, 1998. "An Empirical Reassessment of Target-zone Nonlinearities," Cambridge Working Papers in Economics 9825, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Venus Khim-Sen Liew & Kian-Ping Lim & Evan Lau & Chee-Keong Choong, 2003. "Exchange Rate – Relative Price Relationship: Nonlinear Evidence from Malaysia," International Finance 0311014, University Library of Munich, Germany.
    2. Venus Khim-Sen Liew & Chee-Keong Choong & Evan Lau & Kian-Ping Lim, 2005. "Exchange Rate – Relative Price Nonlinear Cointegration Relationship in Malaysia," Economics Bulletin, AccessEcon, vol. 6(11), pages 1-16.

  30. Morten O. Ravn & Martín Solà, 1997. "Asymmetric effects of monetary policy in the US: Positive vs. negative or big vs. small?," Economics Working Papers 247, Department of Economics and Business, Universitat Pompeu Fabra, revised Dec 1997.

    Cited by:

    1. Randall E. Parker & Phillip Rothman & Original: August 2000. This version: June 2003., "undated". "An Examination of the Asymmetric Effects of Money Supply Shocks in the Pre-World War I and Interwar Periods," Working Papers 0011, East Carolina University, Department of Economics.
    2. Hess, Martin K., 2004. "Dynamic and asymmetric impacts of macroeconomic fundamentals on an integrated stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(5), pages 455-471, December.
    3. M Sensier & D R Osborn & N Öcal, 2002. "Asymmetric Interest Rate Effects for the UK Real Economy," Centre for Growth and Business Cycle Research Discussion Paper Series 10, Economics, The University of Manchester.
    4. Juan J. Dolado & Ramón María-Dolores, 2001. "An empirical study of the cyclical effects of monetary policy in Spain (1977-1997)," Investigaciones Economicas, Fundación SEPI, vol. 25(1), pages 3-30, January.
    5. María-Dolores, Ramón, 1998. "Asimetrías en los efectos de la política monetaria en España (1977-1996)," DE - Documentos de Trabajo. Economía. DE 3887, Universidad Carlos III de Madrid. Departamento de Economía.
    6. Pragidis, Ioannis & Gogas, Periklis & Tabak, Benjamin, 2013. "Asymmetric Effects of Monetary Policy in the U.S. and Brazil," DUTH Research Papers in Economics 7-2013, Democritus University of Thrace, Department of Economics.
    7. Claus Thustrup Kreiner, 2002. "Do the New Keynesian Microfoundations Rationalise Stabilisation Policy?," Economic Journal, Royal Economic Society, vol. 112(479), pages 384-401, April.
    8. Annette Detken, 2002. "Nonlinearities in Swiss macroeconomic data," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(I), pages 39-60, March.
    9. Haykaz Igityan, 2019. "Asymmetric Effects of Monetary Policy in Different Phases of Armenia's Business Cycle," Working Papers 11, Central Bank of the Republic of Armenia.
    10. Haykaz Igityan, 2021. "Asymmetric Effects of Monetary Policy on the Armenian Economy," Russian Journal of Money and Finance, Bank of Russia, vol. 80(1), pages 46-103, March.
    11. Anna Florio, 2004. "The Asymmetric Effects of Monetary Policy," Journal of Economic Surveys, Wiley Blackwell, vol. 18(3), pages 409-426, July.
    12. Haykaz Igityan, 2021. "Asymmetric Effects of Monetary Policy on the Armenian Economy," Working Papers 18, Central Bank of the Republic of Armenia, revised Mar 2021.

  31. Morten Ravn & Martin Sola, 1996. "A Reconsideration of the Empirical Evidence on the Asymmetric Effects of Money-supply shocks: Positive vs. Negative or Big vs. Small," Archive Discussion Papers 9606, Birkbeck, Department of Economics, Mathematics & Statistics.

    Cited by:

    1. Jackson, Laura E. & Owyang, Michael T. & Soques, Daniel, 2018. "Nonlinearities, smoothing and countercyclical monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 136-154.
    2. Randall E. Parker & Phillip Rothman & Original: August 2000. This version: June 2003., "undated". "An Examination of the Asymmetric Effects of Money Supply Shocks in the Pre-World War I and Interwar Periods," Working Papers 0011, East Carolina University, Department of Economics.
    3. Zakir, Nadia & Malik, Wasim Shahid, 2013. "Are the effects of monetary policy on output asymmetric in Pakistan?," Economic Modelling, Elsevier, vol. 32(C), pages 1-9.
    4. Manuchehr Irandoust, 2020. "The effectiveness of monetary policy and output fluctuations: An asymmetric analysis," Australian Economic Papers, Wiley Blackwell, vol. 59(2), pages 161-181, June.
    5. Forni, Mario & Debortoli, Davide & Gambetti, Luca & Sala, Luca, 2020. "Asymmetric Effects of Monetary Policy Easing and Tightening," CEPR Discussion Papers 15005, C.E.P.R. Discussion Papers.
    6. Fabio ALESSANDRINI, 2003. "Some Additional Evidence from the Credit Channel on the Response to Monetary Shocks: Looking for Asymmetries," Cahiers de Recherches Economiques du Département d'économie 03.04, Université de Lausanne, Faculté des HEC, Département d’économie.
    7. Burstein, Ariel T., 2006. "Inflation and output dynamics with state-dependent pricing decisions," Journal of Monetary Economics, Elsevier, vol. 53(7), pages 1235-1257, October.
    8. Nadav Ben Zeev, 2019. "Identification of Sign-Dependency of Impulse Responses," Working Papers 1907, Ben-Gurion University of the Negev, Department of Economics.
    9. Abdulnasser Hatemi-J & Manuchehr Irandoust, 2006. "A bootstrap-corrected causality test: another look at the money–income relationship," Empirical Economics, Springer, vol. 31(1), pages 207-216, March.
    10. Cerqueira, Vinícius Dos Santos & Ribeiro, Márcio Bruno & Martinez, Thiago Sevilhano, 2014. "Propagação Assimétrica de Choques Monetários na Economia Brasileira: Evidências com base em um modelo vetorial não-linear de transição suave," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(1), April.
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    12. Jongrim Ha, 2020. "Nonlinear transmission of U.S. monetary policy shocks to international financial markets," International Finance, Wiley Blackwell, vol. 23(3), pages 350-369, December.
    13. Barnichon, Regis & Matthes, Christian, 2016. "Gaussian Mixture Approximations of Impulse Responses and The Non-Linear Effects of Monetary Shocks," CEPR Discussion Papers 11374, C.E.P.R. Discussion Papers.
    14. Christian Matthes & Regis Barnichon, 2015. "Measuring the Non-Linear Effects of Monetary Policy," 2015 Meeting Papers 49, Society for Economic Dynamics.
    15. Simon Hall & Mark Walsh & Anthony Yates, 1997. "How do UK companies set prices?," Bank of England working papers 67, Bank of England.
    16. Jui-Chuan (Della) Chang & Dennis W. Jansen, 2005. "The Effect of Monetary Policy on Bank Lending and Aggregate Output: Asymmetries from Nonlinearities in the Lending Channel," Annals of Economics and Finance, Society for AEF, vol. 6(1), pages 129-153, May.
    17. Jonathan Chiu & Miguel Molico, 2020. "Online Appendix to "Short-Run Dynamics in a Search-Theoretic Model of Monetary Exchange"," Online Appendices 18-446, Review of Economic Dynamics.
    18. Jonathan Chiu & Miguel Molico, 2020. "Short-Run Dynamics in a Search-Theoretic Model of Monetary Exchange," Staff Working Papers 20-48, Bank of Canada.
    19. Hazra, Devika, 2022. "Does monetary policy favor the skilled? − Distributional role of monetary policy," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 65-86.
    20. John Bennett & Manfredi M. A. La Manna, 2001. "Reversing the Keynesian Asymmetry," American Economic Review, American Economic Association, vol. 91(5), pages 1556-1563, December.
    21. Rafik Nazarian & Ashkan Amiri, 2014. "Asymmetry of the Oil Price Pass Through to Inflation in Iran," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 457-464.
    22. Saki Bigio & Jorge Salas, 2006. "Non-Linear Effects of Monetary Policy and Real Exchange Rate Shocks in Partially Dollarized Economies: An Empirical Study for Peru," Working Papers 2006-008, Banco Central de Reserva del Perú.

  32. Michael Funke & Stephen Hall & Martin Sola, 1993. "Rational Bubbles During Poland's Hyperinflation: Implications and Empirical Evidence," CESifo Working Paper Series 52, CESifo.

    Cited by:

    1. Peter C. B. Phillips & Shu-Ping Shi & Jun Yu, 2011. "Testing for Multiple Bubbles," Working Papers CoFie-03-2011, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
    2. Psaradakis, Zacharias & Sola, Martin & Spagnolo, Fabio, 2001. "A simple procedure for detecting periodically collapsing rational bubbles," Economics Letters, Elsevier, vol. 72(3), pages 317-323, September.
    3. Paulo M.M. Rodrigues & Rita Fradique Lourenço, 2015. "House prices: bubbles, exuberance or something else? Evidence from euro area countries," Working Papers w201517, Banco de Portugal, Economics and Research Department.
    4. Mehmet Balcilar & Rangan Gupta & Charl Jooste & Mark E. Wohar, 2016. "Periodically Collapsing Bubbles in the South African Stock Market," Working Papers 201624, University of Pretoria, Department of Economics.
    5. Xi Chen & Michael Funke, 2013. "Real-Time Warning Signs of Emerging and Collapsing Chinese House Price Bubbles," National Institute Economic Review, National Institute of Economic and Social Research, vol. 223(1), pages 39-48, February.
    6. Shu-Ping Shi, 2013. "Specification sensitivities in the Markov-switching unit root test for bubbles," Empirical Economics, Springer, vol. 45(2), pages 697-713, October.
    7. Berlemann, Michael & Freese, Julia & Knoth, Sven, 2012. "Eyes Wide Shut? The U.S. House Market Bubble through the Lense of Statistical Process Control," Working Paper 124/2012, Helmut Schmidt University, Hamburg.
    8. Taipalus, Katja, 2012. "Detecting asset price bubbles with time-series methods," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2012_047.
    9. Martin Bohl & Philipp Kaufmann & Patrick Stephan, 2012. "From Hero to Zero: Evidence of Performance Reversal and Speculative Bubbles in German Renewable Energy Stocks," CQE Working Papers 2412, Center for Quantitative Economics (CQE), University of Muenster.
    10. Lucia Mandongwe & Stanley Murairwa & Phamela Dube, 2022. "A Theoretical Assessment of the Operational Budgets in Hyperinflation Countries, Lessons from Boarding Schools in Zimbabwe: Effects and Survival Strategies," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(6), pages 669-677, June.
    11. Marcet, A. & Nicolini, J.P., 1997. "Recurrent Hyperinflations and Learning," Papers 9721, Centro de Estudios Monetarios Y Financieros-.
    12. Su, Chi-Wei & Li, Zheng-Zheng & Chang, Hsu-Ling & Lobonţ, Oana-Ramona, 2017. "When Will Occur the Crude Oil Bubbles?," Energy Policy, Elsevier, vol. 102(C), pages 1-6.
    13. Zhao, Yanping & Chang, Hsu-Ling & Su, Chi-Wei & Nian, Rui, 2015. "Gold bubbles: When are they most likely to occur?," Japan and the World Economy, Elsevier, vol. 34, pages 17-23.
    14. Hooker, Mark A., 2000. "Misspecification versus bubbles in hyperinflation data: Monte Carlo and interwar European evidence," Journal of International Money and Finance, Elsevier, vol. 19(4), pages 583-600, August.
    15. Simon van Norden & Robert Vigfusson, 1996. "Avoiding the Pitfalls: Can Regime-Switching Tests Detect Bubbles?," Meeting papers 9603001, University Library of Munich, Germany.
    16. Ahmed, Mumtaz & Bashir, Uzma & Ullah, Irfan, 2021. "Testing for explosivity in US-Pak Exchange Rate via Sequential ADF Procedures," MPRA Paper 109607, University Library of Munich, Germany.
    17. Adämmer, Philipp & Bohl, Martin T., 2015. "Speculative bubbles in agricultural prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 67-76.
    18. Bohl, Martin T. & Kaufmann, Philipp & Stephan, Patrick M., 2013. "From hero to zero: Evidence of performance reversal and speculative bubbles in German renewable energy stocks," Energy Economics, Elsevier, vol. 37(C), pages 40-51.
    19. Hing Chan & Kai Woo, 2006. "Bubbles detection for inter-war European hyperinflation: A threshold cointegration approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 30(2), pages 169-185, June.
    20. Andras Fulop & Jun Yu, 2014. "Bayesian Analysis of Bubbles in Asset Prices," Working Papers 04-2014, Singapore Management University, School of Economics.
    21. K. Rudgalvis, 1996. "Establishing a new currency and exchange rate determination: the case of Lithuania," CERT Discussion Papers 9604, Centre for Economic Reform and Transformation, Heriot Watt University.
    22. Keith Cuthbertson & Don Bredin, 2001. "Money demand in the czech republic since transition," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 4(4), pages 271-290.
    23. Hess, Martin K., 2003. "What drives Markov regime-switching behavior of stock markets? The Swiss case," International Review of Financial Analysis, Elsevier, vol. 12(5), pages 527-543.
    24. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1043-1078, November.
    25. Simon van Norden & Huntley Schaller & ), 1995. "Speculative Behaviour, Regime-Switching, and Stock Market Crashes," Econometrics 9502003, University Library of Munich, Germany.
    26. Efthymios Pavlidis & Ivan Paya & David Peel, 2012. "A New Test for Rational Speculative Bubbles using Forward Exchange Rates: The Case of the Interwar German Hyperinflation," Working Papers 18599597, Lancaster University Management School, Economics Department.
    27. Mark A. Hooker, 1997. "Misspecification versus bubbles in hyperinflation data: Monte Carlo and interwar European evidence," Finance and Economics Discussion Series 1997-49, Board of Governors of the Federal Reserve System (U.S.).
    28. Maldonado, Wilfredo L. & Tourinho, Octávio A.F. & Valli, Marcos, 2012. "Exchange rate bubbles: Fundamental value estimation and rational expectations test," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1033-1059.
    29. Charemza, Wojciech W., 1996. "Detecting stochastic bubbles on an East European foreign exchange market: An estimation/simulation approach," Structural Change and Economic Dynamics, Elsevier, vol. 7(1), pages 35-53, March.
    30. Białkowski, Jędrzej & Bohl, Martin T. & Stephan, Patrick M. & Wisniewski, Tomasz P., 2015. "The gold price in times of crisis," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 329-339.
    31. Xi Chen & Michael Funke, 2013. "Renewed Momentum in the German Housing Market: Boom or Bubble?," CESifo Working Paper Series 4287, CESifo.

  33. Z. Psaradakis & M. Solá, 1993. "On the power of tests for superexogeneity and structural invariance," Documentos de Trabajo (working papers) 0993, Department of Economics - dECON.

    Cited by:

    1. Karimova, Amira & Simsek, Esra & Orhan, Mehmet, 2020. "Policy implications of the Lucas Critique empirically tested along the global financial crisis," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 153-172.
    2. Jennifer L. Castle & David F. Hendry & Andrew B. Martinez, 2017. "Evaluating Forecasts, Narratives and Policy Using a Test of Invariance," Econometrics, MDPI, vol. 5(3), pages 1-27, September.
    3. David Hendry & Carlos Santos, 2010. "An Automatic Test of Super Exogeneity," Economics Series Working Papers 476, University of Oxford, Department of Economics.
    4. Smith, Ron, 2009. "EMU and the Lucas Critique," Economic Modelling, Elsevier, vol. 26(4), pages 744-750, July.
    5. SANTOS, Carlos & OLIVEIRA, Maria Alberta, 2007. "Modelling The German Yield Curve And Testing The Lucas Critique, 1975-2001," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 7(1).
    6. Amir Kia, 2002. "Interest Free and Interest-Bearing Money Demand: Policy Invariance and Stability," Working Papers 0214, Economic Research Forum, revised 09 May 2002.
    7. Kia, Amir, 2003. "Rational speculators and equity volatility as a measure of ex ante risk," Global Finance Journal, Elsevier, vol. 14(2), pages 135-157, July.
    8. Kia, Amir & Darrat, Ali F., 2007. "Modeling money demand under the profit-sharing banking scheme: Some evidence on policy invariance and long-run stability," Global Finance Journal, Elsevier, vol. 18(1), pages 104-123.
    9. Jennifer Castle & David Hendry, 2016. "Policy Analysis, Forediction, and Forecast Failure," Economics Series Working Papers 809, University of Oxford, Department of Economics.
    10. Amir Kia, 2005. "Overnight Monetary Policy in the United States: Active or Interest-Rate Smoothing?," Carleton Economic Papers 05-07, Carleton University, Department of Economics, revised Mar 2010.
    11. Francis, Bill B. & Leachman, Lori L., 1998. "Superexogeneity and the dynamic linkages among international equity markets," Journal of International Money and Finance, Elsevier, vol. 17(3), pages 475-492, June.
    12. Amir Kia, 2005. "Developing a Market-Based Monetary Policy Transparency Index and Testing Its Impact on Risk and Volatility in the United States," Carleton Economic Papers 05-02, Carleton University, Department of Economics.
    13. Amir Kia & Ali F. Darrat, 2003. "Modeling Money Demand under the Profit-Sharing Banking Scheme: Evidence on Policy Invariance and Long-Run Stability," Carleton Economic Papers 03-13, Carleton University, Department of Economics, revised Apr 2007.
    14. Cheong, ChongCheul, 2003. "Regime changes and econometric modeling of the demand for money in Korea," Economic Modelling, Elsevier, vol. 20(3), pages 437-453, May.

  34. Menelaos Karanasos & Zacharias Psaradakis & Martin Sola, "undated". "Cross-Sectional Aggregation and Persistence in Conditional Variance," Discussion Papers 00/09, Department of Economics, University of York.

    Cited by:

    1. Menelaos Karanasos, "undated". "The Covariance Structure of Mixed ARMA Models," Discussion Papers 00/11, Department of Economics, University of York.
    2. Li, Chang-Shuai, 2012. "Common persistence in conditional variance: A reconsideration," Economic Modelling, Elsevier, vol. 29(5), pages 1809-1819.
    3. Menelaos Karanasos, "undated". "The Covariance Structure of Component and Multivariate Garch Models," Discussion Papers 99/12, Department of Economics, University of York.
    4. Menelaos Karanasos, "undated". "Some Exact Formulae for the Constant Correlation and Diagonal M - Garch Models," Discussion Papers 00/14, Department of Economics, University of York.

Articles

  1. Michael Dueker & Laura E Jackson & Michael T Owyang & Martin Sola, 2023. "A time-varying threshold STAR model with applications," Oxford Open Economics, Oxford University Press, vol. 2, pages 63-98.
    See citations under working paper version above.
  2. Caravello, Tomas E. & Psaradakis, Zacharias & Sola, Martin, 2023. "Rational bubbles: Too many to be true?," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    See citations under working paper version above.
  3. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2022. "Maximum Likelihood Estimation in Markov Regime‐Switching Models With Covariate‐Dependent Transition Probabilities," Econometrica, Econometric Society, vol. 90(4), pages 1681-1710, July.
    See citations under working paper version above.
  4. Constantino Hevia & Martin Sola, 2018. "Bond Risk Premia and Restrictions on Risk Prices," JRFM, MDPI, vol. 11(4), pages 1-22, October.
    See citations under working paper version above.
  5. Constantino Hevia & Ivan Petrella & Martin Sola, 2018. "Risk premia and seasonality in commodity futures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 853-873, September.
    See citations under working paper version above.
  6. Constantino Hevia & Martin Gonzalez‐Rozada & Martin Sola & Fabio Spagnolo, 2015. "Estimating and Forecasting the Yield Curve Using A Markov Switching Dynamic Nelson and Siegel Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(6), pages 987-1009, September.
    See citations under working paper version above.
  7. Martín Gonzalez-Rozada & Matías Escudero & Martín Solá, 2014. "Toward a “New” Inflation-Targeting Framework: The Case of Uruguay," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Fall 2014), pages 89-131, June.
    See citations under working paper version above.
  8. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2013. "State-Dependent Threshold Smooth Transition Autoregressive Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 835-854, December.

    Cited by:

    1. Min Gan & C.L. Philip Chen & Long Chen & Chun-Yang Zhang, 2016. "Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(8), pages 1868-1876, June.
    2. Lixiong Yang & Chingnun Lee & I‐Po Chen, 2021. "Threshold model with a time‐varying threshold based on Fourier approximation," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 406-430, July.
    3. Lixiong Yang, 2023. "Variable selection in threshold model with a covariate-dependent threshold," Empirical Economics, Springer, vol. 65(1), pages 189-202, July.
    4. Yang, Lixiong & Su, Jen-Je, 2018. "Debt and growth: Is there a constant tipping point?," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 133-143.
    5. Lixiong Yang, 2020. "State-dependent biases and the quality of China’s preliminary GDP announcements," Empirical Economics, Springer, vol. 59(6), pages 2663-2687, December.
    6. Nauro Campos & Ekaterina Glebkina & Menelaos Karanasos & Panagiotis Koutroumpis, 2023. "Financial Development, Political Instability, Trade Openness and Growth in Brazil: Evidence from a New Dataset, 1890-2003," Open Economies Review, Springer, vol. 34(4), pages 831-861, September.
    7. Zhu Yanli & Chen Haiqiang & Lin Ming, 2019. "Threshold models with time-varying threshold values and their application in estimating regime-sensitive Taylor rules," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(5), pages 1-17, December.

  9. John Driffill & Turalay Kenc & Martin Sola, 2013. "Real Options With Priced Regime-Switching Risk," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1-30.
    See citations under working paper version above.
  10. Dueker, Michael J. & Psaradakis, Zacharias & Sola, Martin & Spagnolo, Fabio, 2011. "Multivariate contemporaneous-threshold autoregressive models," Journal of Econometrics, Elsevier, vol. 160(2), pages 311-325, February.
    See citations under working paper version above.
  11. Dueker Michael J. & Psaradakis Zacharias & Sola Martin & Spagnolo Fabio, 2011. "Contemporaneous-Threshold Smooth Transition GARCH Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(2), pages 1-25, March.
    See citations under working paper version above.
  12. Zacharias Psaradakis & Martin Sola & Fabio Spagnolo & Nicola Spagnolo, 2009. "Selecting nonlinear time series models using information criteria," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(4), pages 369-394, July.

    Cited by:

    1. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2013. "State-Dependent Threshold Smooth Transition Autoregressive Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 835-854, December.
    2. Ferrara, Laurent & Marcellino, Massimiliano & Mogliani, Matteo, 2015. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," International Journal of Forecasting, Elsevier, vol. 31(3), pages 664-679.
    3. Hee-Young Kim & Christian H. Weiß & Tobias A. Möller, 2020. "Models for autoregressive processes of bounded counts: How different are they?," Computational Statistics, Springer, vol. 35(4), pages 1715-1736, December.
    4. Rinke, Saskia & Sibbertsen, Philipp, 2015. "Information Criteria for Nonlinear Time Series Models," Hannover Economic Papers (HEP) dp-548, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Line Elvstrøm Ekner & Emil Nejstgaard, 2013. "Parameter Identification in the Logistic STAR Model," Discussion Papers 13-07, University of Copenhagen. Department of Economics.
    6. Sandberg, Rickard, 2016. "Trends, unit roots, structural changes, and time-varying asymmetries in U.S. macroeconomic data: the Stock and Watson data re-examined," Economic Modelling, Elsevier, vol. 52(PB), pages 699-713.
    7. Diteboho Xaba & Ntebogang Dinah Moroke & Johnson Arkaah & Charlemagne Pooe, 2016. "Modeling South African Banks closing stock prices: a Markov-Switching Approach," Journal of Economics and Behavioral Studies, AMH International, vol. 8(1), pages 36-40.
    8. M. Frömmel, 2007. "Volatility Regimes in Central and Eastern European Countries’ Exchange Rates," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/487, Ghent University, Faculty of Economics and Business Administration.
    9. Rinke, Saskia, 2016. "The Influence of Additive Outliers on the Performance of Information Criteria to Detect Nonlinearity," Hannover Economic Papers (HEP) dp-575, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    10. Francesco Giordano & Marcella Niglio & Cosimo Damiano Vitale, 2023. "Linear approximation of the Threshold AutoRegressive model: an application to order estimation," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(1), pages 27-56, March.
    11. Rickard Sandberg, 2018. "Unit Root Testing in Multiple Smooth Break Models with Nonlinear Dynamics," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 942-952, November.
    12. 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.
    13. Greta Goracci, 2021. "An empirical study on the parsimony and descriptive power of TARMA models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(1), pages 109-137, March.
    14. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2007. "Multivariate contemporaneous threshold autoregressive models," Working Papers 2007-019, Federal Reserve Bank of St. Louis.

  13. Driffill John & Kenc Turalay & Sola Martin & Spagnolo Fabio, 2009. "The Effects of Different Parameterizations of Markov-Switching in a CIR Model of Bond Pricing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(1), pages 1-24, March.

    Cited by:

    1. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2013. "State-Dependent Threshold Smooth Transition Autoregressive Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 835-854, December.
    2. Martin Gonzalez-Rozada & Martin sola & Constantino Hevia & Fabio Spagnolo, 2012. "Estimating and Forecasting the Yield Curve Using a Markov Switching Dynamic Nelson and Siegel Model," Department of Economics Working Papers 2012-07, Universidad Torcuato Di Tella.
    3. Marcellino, Massimiliano, 2011. "Markov-switching MIDAS models," CEPR Discussion Papers 8234, C.E.P.R. Discussion Papers.

  14. Sola, Martin & Spagnolo, Fabio & Spagnolo, Nicola, 2007. "Predicting Markov volatility switches using monetary policy variables," Economics Letters, Elsevier, vol. 95(1), pages 110-116, April.

    Cited by:

    1. Caglayan, Mustafa & Kandemir Kocaaslan, Ozge & Mouratidis, Kostas, 2016. "Financial Depth and the Asymmetric Impact of Monetary Policy," MPRA Paper 75250, University Library of Munich, Germany, revised Aug 2016.
    2. Lopes, José Mário & Nunes, Luis C., 2012. "A Markov regime switching model of crises and contagion: The case of the Iberian countries in the EMS," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 1141-1153.
    3. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2015. "The Role of Financial Depth on The Asymmetric Impact of Monetary Policy," EcoMod2015 8285, EcoMod.
    4. Chauvet, Marcelle & Jiang, Cheng, 2023. "Nonlinear relationship between monetary policy and stock returns: Evidence from the U.S," Global Finance Journal, Elsevier, vol. 55(C).
    5. Kostas Mouratidis & Dimitris Kenourgios & Aris Samitas, 2010. "Evaluating currency crisis:A multivariate Markov switching approach," Working Papers 2010018, The University of Sheffield, Department of Economics, revised Oct 2010.

  15. Dueker, Michael J. & Sola, Martin & Spagnolo, Fabio, 2007. "Contemporaneous threshold autoregressive models: Estimation, testing and forecasting," Journal of Econometrics, Elsevier, vol. 141(2), pages 517-547, December.
    See citations under working paper version above.
  16. Psaradakis Zacharias & Sola Martin & Spagnolo Fabio, 2006. "Instrumental-Variables Estimation in Markov Switching Models with Endogenous Explanatory Variables: An Application to the Term Structure of Interest Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-31, May.

    Cited by:

    1. Jaromír Baxa & Roman Horváth & Borek Vasícek, 2010. "How Does Monetary Policy Change? Evidence on Inflation Targeting Countries," Working Papers wpdea1007, Department of Applied Economics at Universitat Autonoma of Barcelona.
    2. Jinho Bae & Chang-Jin Kim & Dong Heon Kim, 2011. "The Evolution of the Monetary Policy Regimes in the U.S," Discussion Paper Series 1102, Institute of Economic Research, Korea University.
    3. Barry E. Jones & Travis D. Nesmith, 2006. "Linear cointegration of nonlinear time series with an application to interest rate dynamics," Finance and Economics Discussion Series 2007-03, Board of Governors of the Federal Reserve System (U.S.).
    4. Wang Xia & Shang Yuhuang & Zheng Tingguo, 2014. "An extensive study on Markov switching models with endogenous regressors," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(4), pages 1-16, September.
    5. Robert Faff & Sirimon Treepongkaruna, 2013. "A re-examination of the empirical performance of the Longstaff and Schwartz two-factor term structure model using real yield data," Australian Journal of Management, Australian School of Business, vol. 38(2), pages 333-352, August.

  17. Driffill, John & Sola, Martin, 2006. "Target zones for exchange rates and policy changes," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 912-931, October.
    See citations under working paper version above.
  18. Martin Sola & Zacharias Psaradakis & Fabio Spagnolo, 2005. "Testing the unbiased forward exchange rate hypothesis using a Markov switching model and instrumental variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(3), pages 423-437.
    See citations under working paper version above.
  19. Morten O. Ravn & Zacharias Psaradakis & Martin Sola, 2005. "Markov switching causality and the money-output relationship," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 665-683.
    See citations under working paper version above.
  20. Morten O. Ravn & Martin Sola, 2004. "Asymmetric effects of monetary policy in the United States," Review, Federal Reserve Bank of St. Louis, vol. 86(Sep), pages 41-60.

    Cited by:

    1. Michael T. Owyang & Jeremy Piger & Daniel Soques, 2022. "Contagious switching," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 415-432, March.
    2. Karadi, Peter & Reiff, Adam, 2007. "Menu Costs and Inflation Asymmetries - Some Micro Data Evidence," MPRA Paper 7102, University Library of Munich, Germany.
    3. Tae-Hwy Lee & Weiping Yang, 2012. "Money–Income Granger-Causality in Quantiles," Advances in Econometrics, in: 30th Anniversary Edition, pages 385-409, Emerald Group Publishing Limited.
    4. Patrick A. Imam, 2015. "Shock from Graying: Is the Demographic Shift Weakening Monetary Policy Effectiveness," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 138-154, March.
    5. Piergiorgio Alessandri & Antonio M. Conti & Fabrizio Venditti, 2016. "The Financial Stability Dark Side of Monetary Policy," BCAM Working Papers 1601, Birkbeck Centre for Applied Macroeconomics.
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    2. Chen, Shyh-Wei & Xie, Zixiong, 2015. "Testing for current account sustainability under assumptions of smooth break and nonlinearity," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 142-156.
    3. Anton Velinov, 2014. "Assessing the Sustainability of Government Debt: On the Different States of the Debt/GDP Process," Discussion Papers of DIW Berlin 1359, DIW Berlin, German Institute for Economic Research.
    4. Chen, Shyh-Wei, 2014. "Smooth transition, non-linearity and current account sustainability: Evidence from the European countries," Economic Modelling, Elsevier, vol. 38(C), pages 541-554.
    5. Holmes Mark J. & Panagiotidis Theodore, 2009. "Cointegration and Asymmetric Adjustment: Some New Evidence Concerning the Behavior of the U.S. Current Account," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-25, June.
    6. Daniel Ordoñez-Callamand & Luis F. Melo-Velandia & Oscar M. Valencia-Arana, 2017. "Current Account Sustainability in Latin America Considering Nonlinearities," Borradores de Economia 987, Banco de la Republica de Colombia.
    7. Takeuchi, Fumihide, 2010. "US external debt sustainability revisited: Bayesian analysis of extended Markov switching unit root test," Japan and the World Economy, Elsevier, vol. 22(2), pages 98-106, March.
    8. Vasif Abioglu & Suleyman Koc & Ibrahim Bakirtas, 2021. "The sustainability of the Turkish current account: Smooth structural break and asymmetric adjustments," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3916-3929, July.
    9. Tarlok Singh, 2015. "Sustainability of current account deficits in India: an intertemporal perspective," Applied Economics, Taylor & Francis Journals, vol. 47(46), pages 4934-4951, October.
    10. Christophe Andre & Mehmet Balcilar & Tsangyao Chang & Luis Alberiko Gil-Alana & Rangan Gupta, 2018. "Current account sustainability in G7 and BRICS: Evidence from a long-memory model with structural breaks," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 27(6), pages 638-654, August.
    11. Singh Tarlok, 2017. "Sustainability of Current Account Deficits in the OECD Countries: Evidence from Panel Data Estimators," Global Economy Journal, De Gruyter, vol. 17(4), pages 1-16, December.
    12. Resat CEYLAN, 2018. "Kirilgan Beslide Cari Aciklarin Surdurulebilirligi: Dogrusal Olmayan Birim Kok Testleri Ile Kanitlar," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 18(1), pages 121-134.
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    14. Camacho, Maximo, 2011. "Markov-switching models and the unit root hypothesis in real US GDP," Economics Letters, Elsevier, vol. 112(2), pages 161-164, August.
    15. Antonio Afonso & Florence Huart & João Tovar Jalles & Piotr Stanek, 2019. "Long-run relationship between exports and imports: current account sustainability tests for the EU," Post-Print hal-02499351, HAL.
    16. Chen, Shyh-Wei, 2011. "Are current account deficits really sustainable in the G-7 countries?," Japan and the World Economy, Elsevier, vol. 23(3), pages 190-201.
    17. Chen, Shyh-Wei, 2011. "Current account deficits and sustainability: Evidence from the OECD countries," Economic Modelling, Elsevier, vol. 28(4), pages 1455-1464, July.
    18. Kuang-Liang Chang, 2012. "Stock return predictability and stationarity of dividend yield," Economics Bulletin, AccessEcon, vol. 32(1), pages 715-729.
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    20. Mohammed Shuaibu & Mutiu Abimbola Oyinlola, 2017. "An Empirical Analysis of Nigeria’s Current Account Sustainability," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 11(1), pages 54-76, February.
    21. Gil Kim & Lian An & Yoonbai Kim, 2012. "The behaviour of the real exchange rate and current account," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 5(2), pages 139-160, December.
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    24. Baharumshah, Ahmad Zubaidi & Soon, Siew-Voon & Lau, Evan, 2017. "Fiscal sustainability in an emerging market economy: When does public debt turn bad?," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 99-113.
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    2. Nikeel Kumar & Ronald Ravinesh Kumar & Radika Kumar & Peter Josef Stauvermann, 2020. "Is the tourism–growth relationship asymmetric in the Cook Islands? Evidence from NARDL cointegration and causality tests," Tourism Economics, , vol. 26(4), pages 658-681, June.
    3. Heejoon Han & Na Kyeong Lee, 2018. "Modeling the Dynamics between Stock Price and Dividend: An Endogenous Regime Switching Approach," Korean Economic Review, Korean Economic Association, vol. 34, pages 213-235.
    4. David G. McMillan, 2010. "Present Value Model, Bubbles and Returns Predictability: Sector‐Level Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(5‐6), pages 668-686, June.
    5. McMillan, David G., 2009. "Are share prices still too high?," Research in International Business and Finance, Elsevier, vol. 23(3), pages 223-232, September.
    6. Fernando Alexandre & Vasco J. Gabriel & Pedro Bação, 2007. "The Consumption-Wealth Ratio Under Asymmetric Adjustment," NIPE Working Papers 15/2007, NIPE - Universidade do Minho.
    7. Esteve García, Vicente & Navarro Ibáñez, Manuel & Prats Albentosa, María Asuncíon, 2017. "The present value model of U.S. stock prices revisited: Long-run evidence with structural breaks, 1871-2012," Economics Discussion Papers 2017-93, Kiel Institute for the World Economy (IfW Kiel).
    8. Mehmet Balcilar & Godwin Olasehinde-Williams & Muhammad Shahbaz, 2018. "Asymmetric Dynamics of Insurance Premium: The Impact of Monetary Policy Uncertainty on Insurance Premiums in Japan," Working Papers 15-39, Eastern Mediterranean University, Department of Economics.
    9. Girardin, Eric & Liu, Zhenya, 2007. "The financial integration of China: New evidence on temporally aggregated data for the A-share market," China Economic Review, Elsevier, vol. 18(3), pages 354-371.
    10. Benkraiem, Ramzi & Lahiani, Amine & Miloudi, Anthony & Shahbaz, Muhammad, 2019. "The asymmetric role of shadow economy in the energy-growth nexus in Bolivia," Energy Policy, Elsevier, vol. 125(C), pages 405-417.
    11. Kashif Islam & Ahmad Raza Bilal & Syed Anees Haider Zaidi, 2022. "Symmetric and asymmetric nexus between economic freedom and stock market development in Pakistan," Economic Change and Restructuring, Springer, vol. 55(4), pages 2391-2421, November.
    12. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2014. "Regime Switching Model of US Crude Oil and Stock Market Prices: 1859 to 2013," Working papers 2014-26, University of Connecticut, Department of Economics.
    13. Katsuhiro Sugita, 2017. "Time Series Analysis of the US Term Structure of Interest Rates Using a Bayesian Markov Switching Cointegration Model," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(3), pages 49-56, March.
    14. Katrakilidis, Constantinos & Trachanas, Emmanouil, 2012. "What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration," Economic Modelling, Elsevier, vol. 29(4), pages 1064-1069.
    15. Chunming Yuan, 2008. "The Exchange Rate and Macroeconomic Determinants: Time-Varying Transitional Dynamics," UMBC Economics Department Working Papers 09-114, UMBC Department of Economics, revised 01 Nov 2009.
    16. Chai, Jian & Zhang, Xiaokong & Lu, Quanying & Zhang, Xuejun & Wang, Yabo, 2021. "Research on imbalance between supply and demand in China's natural gas market under the double-track price system," Energy Policy, Elsevier, vol. 155(C).
    17. Sajad Ahmad Bhat & Javed Ahmad Bhat, 2021. "Impact of Exchange Rate Changes on the Trade Balance of India: An Asymmetric Nonlinear Cointegration Approach," Foreign Trade Review, , vol. 56(1), pages 71-88, February.
    18. David E. Allen & Michael McAleer, 2020. "A Nonlinear Autoregressive Distributed Lag (NARDL) Analysis of West Texas Intermediate Oil Prices and the DOW JONES Index," Energies, MDPI, vol. 13(15), pages 1-11, August.
    19. Shang, Di & Diao, Gang & Zhao, Xiaodi, 2020. "Have China's regulations on imported waste paper improved its quality," Forest Policy and Economics, Elsevier, vol. 119(C).
    20. Skrobotov, Anton, 2021. "Structural breaks in cointegration models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 117-141.
    21. Dark, Jonathan, 2015. "Futures hedging with Markov switching vector error correction FIEGARCH and FIAPARCH," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 269-285.
    22. Dirk G Baur & Duy T. Tran, 2012. "The Long-run Relationship of Gold and Silver and the Influence of Bubbles and Financial Crises," Working Paper Series 172, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    23. McMillan, David G., 2014. "Stock return, dividend growth and consumption growth predictability across markets and time: Implications for stock price movement," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 90-101.
    24. Pelin ÖGE GÜNEY, 2013. "The Term Structure of Interest Rates: A Cointegration Analysis in the Non-Linear STAR Framework," Journal of Economics and Behavioral Studies, AMH International, vol. 5(12), pages 851-860.
    25. Cai, Charlie X. & McGuinness, Paul B. & Zhang, Qi, 2011. "The pricing dynamics of cross-listed securities: The case of Chinese A- and H-shares," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 2123-2136, August.
    26. Prashant Parab, 2022. "Exchange rate pass-through in India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2022-012, Indira Gandhi Institute of Development Research, Mumbai, India.
    27. Judge, Amrit & Reancharoen, Tipprapa, 2014. "An empirical examination of the lead–lag relationship between spot and futures markets: Evidence from Thailand," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 335-358.
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    30. Frömmel, Michael & Schmidt, Torsten, 2006. "Bank Lending and Asset Prices in the Euro Area," RWI Discussion Papers 42, RWI - Leibniz-Institut für Wirtschaftsforschung.
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    32. Seo, Myung Hwan, 2007. "Estimation of nonlinear error correction models," LSE Research Online Documents on Economics 6802, London School of Economics and Political Science, LSE Library.
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    34. Vasco J. Gabriel & Luis F. Martins, 2010. "Cointegration Tests Under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," NIPE Working Papers 28/2010, NIPE - Universidade do Minho.
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    39. Dennis Kristensen & Anders Rahbek, 2007. "Likelihood-Based Inference in Nonlinear Error-Correction Models," CREATES Research Papers 2007-38, Department of Economics and Business Economics, Aarhus University.
    40. Vasco Gabriel & Pataaree Sangduan, 2009. "Assessing Fiscal Sustainability Subject to Policy Changes: a Markov Switching Cointegration Approach," School of Economics Discussion Papers 0309, School of Economics, University of Surrey.
    41. David G. McMillan, 2010. "Level‐shifts and non‐linearity in US financial ratios," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 9(2), pages 189-207, May.
    42. Manzan, S., 2003. "Nonlinear Mean Reversion in Stock Prices," CeNDEF Working Papers 03-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    43. Myung Hwan Seo, 2007. "Estimation of Nonlinear Error CorrectionModels," STICERD - Econometrics Paper Series 517, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    44. Luz A. Flórez & Karen L. Pulido-Mahecha & Mario A. Ramos-Veloza, 2018. "Okun´s law in Colombia: a non-linear cointegration," Borradores de Economia 1039, Banco de la Republica de Colombia.
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    46. McMillan, David G., 2019. "Predicting firm level stock returns: Implications for asset pricing and economic links," The British Accounting Review, Elsevier, vol. 51(4), pages 333-351.
    47. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Post-Print halshs-00658540, HAL.
    48. John Goddard & David Mcmillan & John Wilson, 2008. "Dividends, prices and the present value model: firm-level evidence," The European Journal of Finance, Taylor & Francis Journals, vol. 14(3), pages 195-210.
    49. Ihle, Rico & von Cramon-Taubadel, Stephan, 2008. "Nonlinear Vector Error Correction Models in Price Transmission Analysis: Threshold Models vs. Markov-Switching Models," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44198, European Association of Agricultural Economists.
    50. Nikolaos Mitianoudis & Theologos Dergiades, 2016. "Stock Prices Predictability at Long-horizons: Two Tales from the Time-Frequency Domain," Discussion Paper Series 2016_04, Department of Economics, University of Macedonia, revised Dec 2016.
    51. Jammazi, Rania & Lahiani, Amine & Nguyen, Duc Khuong, 2015. "A wavelet-based nonlinear ARDL model for assessing the exchange rate pass-through to crude oil prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 173-187.
    52. Taniya Ghosh & Prashant Mehul Parab, 2021. "Assessing India's productivity trends and endogenous growth: New evidence from technology, human capital and foreign direct investment," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2021-004, Indira Gandhi Institute of Development Research, Mumbai, India.
    53. Chen, Shyh-Wei, 2011. "Are current account deficits really sustainable in the G-7 countries?," Japan and the World Economy, Elsevier, vol. 23(3), pages 190-201.
    54. Gustavo Cabrera González, 2019. "Modeling and Projection of the Mexican Exchange Rate (Peso/Dollar): a Bayesian Approach for Model Selection," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(2), pages 203-219, Abril-Jun.
    55. Eissa, Mohamad Abdelaziz & Al Refai, Hisham, 2019. "Modelling the symmetric and asymmetric relationships between oil prices and those of corn, barley, and rapeseed oil," Resources Policy, Elsevier, vol. 64(C).
    56. Sugita, Katsuhiro, 2008. "Bayesian analysis of a Markov switching temporal cointegration model," Japan and the World Economy, Elsevier, vol. 20(2), pages 257-274, March.
    57. Chen, Shyh-Wei, 2011. "Current account deficits and sustainability: Evidence from the OECD countries," Economic Modelling, Elsevier, vol. 28(4), pages 1455-1464, July.
    58. Jose Eduardo de A. Ferreira, 2006. "Effects of Fundamentals on the Exchange Rate: A Panel Analysis for a Sample of Industrialised and Emerging Economies," Studies in Economics 0603, School of Economics, University of Kent.
    59. Dong, Fang, 2017. "Testing the Marshall-Lerner condition between the U.S. and other G7 member countries," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 30-40.
    60. Robinson Kruse & Michael Frömmel & Lukas Menkhoff & Philipp Sibbertsen, 2012. "What do we know about real exchange rate nonlinearities?," Empirical Economics, Springer, vol. 43(2), pages 457-474, October.
    61. Kristensen, Dennis & Rahbek, Anders, 2010. "Likelihood-based inference for cointegration with nonlinear error-correction," Journal of Econometrics, Elsevier, vol. 158(1), pages 78-94, September.
    62. Esteve, Vicente & Navarro-Ibáñez, Manuel & Prats, María A., 2020. "Stock prices, dividends, and structural changes in the long-term: The case of U.S," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    63. Rafiq, Shuddhasattwa & Bloch, Harry, 2016. "Explaining commodity prices through asymmetric oil shocks: Evidence from nonlinear models," Resources Policy, Elsevier, vol. 50(C), pages 34-48.
    64. Ayman Mnasri & Zouhair Mrabet & Mouyad Alsamara, 2023. "A new quadratic asymmetric error correction model: does size matter?," Empirical Economics, Springer, vol. 65(1), pages 33-64, July.
    65. Balcilar, Mehmet & Hammoudeh, Shawkat & Asaba, Nwin-Anefo Fru, 2015. "A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 72-89.
    66. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    67. Psaradakis Zacharias & Sola Martin & Spagnolo Fabio, 2006. "Instrumental-Variables Estimation in Markov Switching Models with Endogenous Explanatory Variables: An Application to the Term Structure of Interest Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-31, May.
    68. Bothwell Nyoni & Andrew Phiri, 2018. "The Electricity-growth Nexus in South Africa: Evidence from Asymmetric Cointegration and Co-feature Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 80-88.
    69. Pan, Xiongfeng & Uddin, Md. Kamal & Saima, Umme & Guo, Shucen & Guo, Ranran, 2019. "Regime switching effect of financial development on energy intensity: Evidence from Markov-switching vector error correction model," Energy Policy, Elsevier, vol. 135(C).
    70. Badamvaanchig, Mungunzul & Islam, Moinul & Kakinaka, Makoto, 2021. "Pass-through of commodity price to Mongolian stock price: Symmetric or asymmetric?," Resources Policy, Elsevier, vol. 70(C).
    71. Muhammad Ahad & Ijaz ur Rehman & Fiza Qureshi & Waqas Hanif & Zaheer Anwer, 2018. "Modelling Asymmetric Impact of Home Country Macroeconomic Variables on American Depository Receipts: Evidence from Eurozone," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 703-727, November.
    72. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Valuation ratios and price deviations from fundamentals," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2325-2346, August.
    73. Angelos Kanas, 2008. "Modeling regime transition in stock index futures markets and forecasting implications," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(8), pages 649-669.
    74. David G. McMillan & Mark E. Wohar, 2010. "Stock return predictability and dividend-price ratio: a nonlinear approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 351-365.
    75. Masudul Hasan Adil & Salman Haider & Neeraj R. Hatekar, 2020. "Empirical Assessment of Money Demand Stability Under India’s Open Economy: Non-linear ARDL Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(4), pages 891-909, December.
    76. Amin Sokhanvar & Glenn P. Jenkins, 2021. "An Efficient Long-Run Economic Growth Strategy for Estonia," Development Discussion Papers 2020-23, JDI Executive Programs.
    77. McMillan, David G., 2007. "Bubbles in the dividend-price ratio? Evidence from an asymmetric exponential smooth-transition model," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 787-804, March.
    78. David G. McMillan, 2009. "Are Uk Share Prices Too High? Fundamental Value Or New Era," Bulletin of Economic Research, Wiley Blackwell, vol. 61(1), pages 1-20, January.
    79. Qi Zhang & Charlie X Cai & Kevin Keasey, 2009. "Forecasting using high-frequency data: a comparison of asymmetric financial duration models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 371-386.
    80. Martins, Luis F. & Gabriel, Vasco J., 2014. "Modelling long run comovements in equity markets: A flexible approach," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 288-295.
    81. Khalil Mhadhbi & Chokri Terzi, 2022. "Shadow economy threshold effect in the relationship finance–growth in Tunisia: A nonlinear autoregressive distributed lag approach," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(3), pages 636-651, April.
    82. Vicente Esteve & Manuel Navarro-Ibáñez & María A. Prats, 2013. "The present value model of U.S. stock prices revisited: long-run evidence with structural breaks, 1871-2010," Working Papers 13-04, Asociación Española de Economía y Finanzas Internacionales.
    83. Zacharias Psaradakis & Fabio Spagnolo, 2005. "Forecast performance of nonlinear error-correction models with multiple regimes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 119-138.
    84. Daiki Maki, 2013. "Detecting cointegration relationships under nonlinear models: Monte Carlo analysis and some applications," Empirical Economics, Springer, vol. 45(1), pages 605-625, August.
    85. Ma, Chao, 2020. "Momentum and Reversion to Fundamentals: Are They Captured by Subjective Expectations of House Prices?," Journal of Housing Economics, Elsevier, vol. 49(C).
    86. Raybaudi, Marzia & Sola, Martin & Spagnolo, Fabio, 2004. "Red signals: current account deficits and sustainability," Economics Letters, Elsevier, vol. 84(2), pages 217-223, August.
    87. Jamel JOUINI, 2018. "Measuring the Macroeconomic Impacts of Fiscal Policy Shocks in the Saudi Economy : A Markov Switching Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 55-70, December.
    88. Ihle, Rico & von Cramon-Taubadel, Stephan, 2008. "A Comparison of Threshold Cointegration and Markov-Switching Vector Error Correction Models in Price Transmission Analysis," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37603, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    89. Yang, Zheng & Tian, Zheng & Yuan, Zixia, 2008. "Small sample improvements in the threshold cointegration test using residual-based moving block bootstrap," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(4), pages 507-513.
    90. Jonathan Hambur & Lynne Cockerell & Christopher Potter & Penelope Smith & Michelle Wright, 2015. "Modelling the Australian Dollar," RBA Research Discussion Papers rdp2015-12, Reserve Bank of Australia.

  24. Tronzano, Marco & Psaradakis, Zacharias & Sola, Martin, 2003. "Target zone credibility and economic fundamentals," Economic Modelling, Elsevier, vol. 20(4), pages 791-807, July.

    Cited by:

    1. Po-Chin Wu & Shiao-Yen Liu & Sheng-Chieh Pan, 2014. "Nonlinear relationship between health care expenditure and its determinants: a panel smooth transition regression model," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(4), pages 713-729, November.
    2. Mouratidis, Kostas, 2008. "Evaluating currency crises: A Bayesian Markov switching approach," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1688-1711, December.
    3. Jeanne, Olivier & Masson, Paul, 2000. "Currency crises, sunspots and Markov-switching regimes," Journal of International Economics, Elsevier, vol. 50(2), pages 327-350, April.
    4. Peter P. Carr & Zura Kakushadze, 2017. "FX options in target zones," Quantitative Finance, Taylor & Francis Journals, vol. 17(10), pages 1477-1486, October.
    5. WAJIH KHALLOULI & MOHAMED Ayadi & RENE SANDRETTO, 2013. "Fondamentaux, Contagion Et Dynamique Des Anticipations :Une Evaluation A Partir De La Crise Financiere Coreenne," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 56(2), pages 175-189.
    6. M. Isabel Campos & M. Araceli Rodríguez, "undated". "Crises and Credibility in a Target Zone: A Logit From a Markov-Switching Model," Working Papers on International Economics and Finance 00-05, FEDEA.
    7. Psaradakis, Zacharias & Sola, Martin, 1998. "Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching," Journal of Econometrics, Elsevier, vol. 86(2), pages 369-386, June.
    8. António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2010. "Exchange Rate Target Zones: A Survey of the Literature," GEMF Working Papers 2010-14, GEMF, Faculty of Economics, University of Coimbra.
    9. M. Araceli Rodríguez López, "undated". "Variables fundamentales o ataques "Self-fulfilling"? Una explicación a las crisis de credibilidad de la peseta espanola," Studies on the Spanish Economy 90, FEDEA.
    10. Huimin Zhao & Fuzhou Gong & Fangping Peng & Qin Liu, 2014. "Probability Analysis of Exchange Rate Target Zones," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(1), pages 29-41, January.
    11. Jamshaid ur Rehman & Tasneem Zafar & Shabbir Ahmad & Aftab Anwar, 2022. "In Search of Common Currency Anchor for ASEAN+3+3 Countries," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(3), pages 237-264, September.

  25. Zacharias Psaradakis & Martin Sola, 2003. "On detrending and cyclical asymmetry," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 271-289.
    See citations under working paper version above.
  26. Driffill John & Raybaudi Marzia & Sola Martin, 2003. "Investment Under Uncertainty with Stochastically Switching Profit Streams: Entry and Exit over the Business Cycle," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(1), pages 1-40, April.

    Cited by:

    1. John Driffill & Turalay Kenc & Martin Sola, 2013. "Real Options With Priced Regime-Switching Risk," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1-30.
    2. Pierpaolo Benigno & Luca Antonio Ricci, 2011. "The Inflation-Output Trade-Off with Downward Wage Rigidities," American Economic Review, American Economic Association, vol. 101(4), pages 1436-1466, June.
    3. Michael Funke & Yu-Fu Chen, 2010. "Booms, recessions and financial turmoil: A fresh look at investment decisions under cyclical uncertainty," Quantitative Macroeconomics Working Papers 21007, Hamburg University, Department of Economics.
    4. Zhou, Yuanqi & Yang, Jinqiang & Jia, Zhijie, 2023. "Optimizing energy efficiency investments in steel firms: A real options model considering carbon trading and tax cuts during challenging economic conditions," Resources Policy, Elsevier, vol. 85(PA).
    5. Yu-Fu Chen & Michael Funke, 2004. "Cyclical Uncertainty and Physical Investment Decisions," Dundee Discussion Papers in Economics 169, Economic Studies, University of Dundee.
    6. Francisco Ruiz‐Aliseda & Jianjun Wu, 2012. "Irreversible Investment in Stochastically Cyclical Markets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 21(3), pages 801-847, September.
    7. Sodal, Sigbjorn, 2006. "Entry and exit decisions based on a discount factor approach," Journal of Economic Dynamics and Control, Elsevier, vol. 30(11), pages 1963-1986, November.
    8. Makoto Goto & Katsumasa Nishide & Ryuta Takashima, 2013. "Irreversible Investment under Competition with a Markov Switching Regime," KIER Working Papers 861, Kyoto University, Institute of Economic Research.

  27. Sola, Martin & Spagnolo, Fabio & Spagnolo, Nicola, 2002. "A test for volatility spillovers," Economics Letters, Elsevier, vol. 76(1), pages 77-84, June.
    See citations under working paper version above.
  28. Gabriel, Vasco J. & Psaradakis, Zacharias & Sola, Martin, 2002. "A simple method of testing for cointegration subject to multiple regime changes," Economics Letters, Elsevier, vol. 76(2), pages 213-221, July.

    Cited by:

    1. Andrew Davies, 2006. "Testing for international equity market integration using regime switching cointegration techniques," Review of Financial Economics, John Wiley & Sons, vol. 15(4), pages 305-321.
    2. Anton Velinov, 2014. "Assessing the Sustainability of Government Debt: On the Different States of the Debt/GDP Process," Discussion Papers of DIW Berlin 1359, DIW Berlin, German Institute for Economic Research.
    3. Pérez-Quirós, Gabriel & Camacho, Máximo, 2013. "Commodity prices and the business cycle in Latin America: Living and dying by commodities?," CEPR Discussion Papers 9367, C.E.P.R. Discussion Papers.
    4. Przemyslaw Wlodarczyk, 2017. "Fiscal sustainability of the Visegrad Group countries in the aftermath of global economic crisis," Lodz Economics Working Papers 2/2017, University of Lodz, Faculty of Economics and Sociology.
    5. Tronzano, Marco, 2017. "Testing Fiscal Sustainability In The Transition Economies Of Eastern Europe: The Case Of Poland (1999-2015)," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 70(1), pages 103-132.
    6. Vasco Gabriel & Pataaree Sangduan, 2009. "Assessing Fiscal Sustainability Subject to Policy Changes: a Markov Switching Cointegration Approach," School of Economics Discussion Papers 0309, School of Economics, University of Surrey.
    7. Chen, Shyh-Wei, 2011. "Current account deficits and sustainability: Evidence from the OECD countries," Economic Modelling, Elsevier, vol. 28(4), pages 1455-1464, July.
    8. Maki, Daiki, 2012. "Tests for cointegration allowing for an unknown number of breaks," Economic Modelling, Elsevier, vol. 29(5), pages 2011-2015.
    9. Lucey, Brian M. & Voronkova, Svitlana, 2008. "Russian equity market linkages before and after the 1998 crisis: Evidence from stochastic and regime-switching cointegration tests," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1303-1324, December.
    10. Hung, Ying-Shu & Lee, Chingnun & Chen, Pei-Fen, 2022. "China’s monetary policy and global stock markets: A new cointegration approach with smoothing structural changes," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 643-666.
    11. Davies, Andrew, 2006. "Testing for international equity market integration using regime switching cointegration techniques," Review of Financial Economics, Elsevier, vol. 15(4), pages 305-321.
    12. Angelos Kanas, 2014. "The impact of prompt corrective action on the default risk of the U.S. commercial banking sector," Review of Quantitative Finance and Accounting, Springer, vol. 43(2), pages 393-404, August.
    13. Chen, Shyh-Wei & Lin, Shih-Mo, 2014. "Non-linear dynamics in international resource markets: Evidence from regime switching approach," Research in International Business and Finance, Elsevier, vol. 30(C), pages 233-247.
    14. Chien-Chung Nieh & Hwey-Yun Yau & Ken Hung & Hong-Kou Ou & Shine Hung, 2013. "Cointegration and causal relationships among steel prices of Mainland China, Taiwan, and USA in the presence of multiple structural changes," Empirical Economics, Springer, vol. 44(2), pages 545-561, April.
    15. Daiki Maki, 2013. "Detecting cointegration relationships under nonlinear models: Monte Carlo analysis and some applications," Empirical Economics, Springer, vol. 45(1), pages 605-625, August.
    16. Alexandre, Fernando & Bacao, Pedro & Gabriel, Vasco J., 2007. "Volatility in asset prices and long-run wealth effect estimates," Economic Modelling, Elsevier, vol. 24(6), pages 1048-1064, November.
    17. ap Gwilym, Rhys & Kanas, Angelos & Molyneux, Philip, 2013. "U.S. prompt corrective action and bank risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 239-257.
    18. Abdulnasser Hatemi-J & Eduardo Roca, 2012. "A re-examination of the unbiased forward rate hypothesis in the presence of multiple unknown structural breaks," Applied Economics, Taylor & Francis Journals, vol. 44(11), pages 1443-1448, April.

  29. Psaradakis, Zacharias & Sola, Martin & Spagnolo, Fabio, 2001. "A simple procedure for detecting periodically collapsing rational bubbles," Economics Letters, Elsevier, vol. 72(3), pages 317-323, September.

    Cited by:

    1. Peter C. B. Phillips & Shu-Ping Shi & Jun Yu, 2011. "Testing for Multiple Bubbles," Working Papers CoFie-03-2011, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
    2. Paulo M.M. Rodrigues & Rita Fradique Lourenço, 2015. "House prices: bubbles, exuberance or something else? Evidence from euro area countries," Working Papers w201517, Banco de Portugal, Economics and Research Department.
    3. Brendan McCabe & Stephen Leybourne & David Harris, 2003. "Testing for Stochastic Cointegration and Evidence for Present Value Models," Econometrics 0311009, University Library of Munich, Germany.
    4. Chen, Shyh-Wei & Xie, Zixiong, 2017. "Asymmetric adjustment and smooth breaks in dividend yields: Evidence from international stock markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 339-354.
    5. Yoon, Gawon, 2012. "Some properties of periodically collapsing bubbles," Economic Modelling, Elsevier, vol. 29(2), pages 299-302.
    6. Zhao, Yanping & Chang, Hsu-Ling & Su, Chi-Wei & Nian, Rui, 2015. "Gold bubbles: When are they most likely to occur?," Japan and the World Economy, Elsevier, vol. 34, pages 17-23.
    7. Ahmed, Mumtaz & Bashir, Uzma & Ullah, Irfan, 2021. "Testing for explosivity in US-Pak Exchange Rate via Sequential ADF Procedures," MPRA Paper 109607, University Library of Munich, Germany.
    8. Song, Yong & Shi, Shuping, 2012. "Identifying speculative bubbles with an in finite hidden Markov model," MPRA Paper 36455, University Library of Munich, Germany.
    9. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1043-1078, November.
    10. Chen, Shyh-Wei & Hsu, Chi-Sheng & Xie, Zixong, 2016. "Are there periodically collapsing bubbles in the stock markets? New international evidence," Economic Modelling, Elsevier, vol. 52(PB), pages 442-451.
    11. Shyh-Wei Chen & Chi-Sheng Hsu & Cyun-Jhen Pen, 2016. "Are Inflation Rates Mean-reverting Processes? Evidence from Six Asian Countries," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 12(1), pages 119-155, February.
    12. Cajueiro, Daniel O. & Tabak, Benjamin M., 2006. "Testing for rational bubbles in banking indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 365-376.

  30. Garratt, Anthony & Psaradakis, Zacharias & Sola, Martin, 2001. "An empirical reassessment of target-zone nonlinearities," Journal of International Money and Finance, Elsevier, vol. 20(4), pages 533-548, August.
    See citations under working paper version above.
  31. Ron Smith & Martin Sola & Fabio Spagnolo, 2000. "The Prisoner's Dilemma and Regime-Switching in the Greek-Turkish Arms Race," Journal of Peace Research, Peace Research Institute Oslo, vol. 37(6), pages 737-750, November.

    Cited by:

    1. Christos Kollias & Suzanna-Maria Paleologou, 2003. "Domestic political and external security determinants of the demand for greek military expenditure," Defence and Peace Economics, Taylor & Francis Journals, vol. 14(6), pages 437-445.
    2. J Paul Dunne & Samuel Perlo-Freeman & Ron P Smith, 2007. "The Demand for Military Expenditure in Developing Countries: Hostility versus Capability," Working Papers 0707, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    3. Andreas S. Andreou & George A. Zombanakis, 2011. "Financial Versus Human Resources In The Greek--Turkish Arms Race 10 Years On: A Forecasting Investigation Using Artificial Neural Networks," Defence and Peace Economics, Taylor & Francis Journals, vol. 22(4), pages 459-469, November.
    4. Chappell, Daniel, 2018. "Regime heteroskedasticity in Bitcoin: A comparison of Markov switching models," MPRA Paper 90682, University Library of Munich, Germany.
    5. Andreou, Andreas S. & Zombanakis, George A., 2010. "Financial vs human resources in the Greek-Turkish arms race 10 years on," MPRA Paper 38505, University Library of Munich, Germany.
    6. Asiye TÜTÜNCÜ & Burak ŞAHİNGÖZ, 2020. "Arms Race Between Turkey and Greece: Time-Varying Causality Analysis Abstract: An arms race is the dynamic process followed by states in the acquisition of weapons. An arms race requires mutual milita," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(45).
    7. Oliver Pamp & Florian Dendorfer & Paul W. Thurner, 2018. "Arm your friends and save on defense? The impact of arms exports on military expenditures," Public Choice, Springer, vol. 177(1), pages 165-187, October.
    8. Walter Gutjahr, 2006. "Interaction dynamics of two reinforcement learners," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(1), pages 59-86, February.
    9. Aram Balagyozyan & Esin Cakan, 2016. "Did large institutional investors flock into the technology herd? An empirical investigation using a vector Markov-switching model," Applied Economics, Taylor & Francis Journals, vol. 48(58), pages 5731-5747, December.
    10. Andrea Beccarini, 2017. "Verifying time inconsistency of the ECB monetary policy by means of a regime-switching approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(2), pages 203-227, May.
    11. J Paul Dunne & Sam Perlo-Freeman & Ron P Smith, 2009. "Determining Military Expenditures: Arms Races and Spill-Over Effects in Cross-Section and Panel Data," Working Papers 0901, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    12. Nadir Ocal, 2002. "Asymmetric effects of military expenditure between Turkey and Greece," Defence and Peace Economics, Taylor & Francis Journals, vol. 13(5), pages 405-416.
    13. Bove Vincenzo & Gleditsch Kristian Skrede, 2011. "2010 Lewis Fry Richardson Lifetime Achievement Award: Ron P. Smith and the Economics of War and Peace," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 17(1), pages 1-12, December.
    14. Elveren, Adem Yavuz & Özgür, Gökçer, 2018. "The Effect of Military Expenditures on the Profit Rates in Turkey," MPRA Paper 88848, University Library of Munich, Germany.
    15. Hasan Sahin & Onur Ozsoy, 2008. "Arms Race Between Greece And Turkey: A Markov Switching Approach," Defence and Peace Economics, Taylor & Francis Journals, vol. 19(3), pages 209-216.

  32. Tronzano, Marco & Psaradakis, Zacharias & Sola, Martin, 2000. "Assessing the Credibility of a Target Zone: Evidence from EMS Countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 5(2), pages 107-120, April.

    Cited by:

    1. Gianni Amisano & Marco Tronzano, 2010. "Assessing European Central Bank'S Credibility During The First Years Of The Eurosystem: A Bayesian Empirical Investigation," Manchester School, University of Manchester, vol. 78(5), pages 437-459, September.
    2. Peter Tillmann, 2003. "The Regime‐Dependent Determination of Credibility: A New Look at European Interest Rate Differentials," German Economic Review, Verein für Socialpolitik, vol. 4(4), pages 409-431, November.
    3. Laurence Fung & Ip-wing Yu, 2007. "Assessing the Credibility of The Convertibility Zone of The Hong Kong Dollar," Working Papers 0719, Hong Kong Monetary Authority.
    4. Gianni Amisano & Marco Tronzano, 2005. "Assessing ECB?s Credibility During the First Years of the Eurosystem: A Bayesian Empirical Investigation," Working Papers ubs0512, University of Brescia, Department of Economics.
    5. de Freitas Val, Flávio & Klotzle, Marcelo Cabus & Pinto, Antonio Carlos Figueiredo & Gaglianone, Wagner Piazza, 2017. "Estimating the credibility of Brazilian monetary policy using a Kalman filter approach," Research in International Business and Finance, Elsevier, vol. 41(C), pages 37-53.
    6. Flávio de Freitas Val & Wagner Piazza Gaglianone & Marcelo Cabus Klotzle & Antonio Carlos Figueiredo Pinto, 2017. "Estimating the Credibility of Brazilian Monetary Policy using Forward Measures and a State-Space Model," Working Papers Series 463, Central Bank of Brazil, Research Department.

  33. Hall, Stephen G & Psaradakis, Zacharias & Sola, Martin, 1999. "Detecting Periodically Collapsing Bubbles: A Markov-Switching Unit Root Test," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 143-154, March-Apr.

    Cited by:

    1. Peter C. B. Phillips & Shu-Ping Shi & Jun Yu, 2011. "Testing for Multiple Bubbles," Working Papers CoFie-03-2011, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
    2. Refet Gurkaynak, 2005. "Econometric Tests of Asset Price Bubbles: Taking Stock," Finance 0504008, University Library of Munich, Germany.
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    1. Roman Frydman & Michael Goldberg & Nicholas Mangee, 2015. "New Evidence for the Present-Value Model of Stock Prices: Why the REH Version Failed Empirically," Working Papers Series 2, Institute for New Economic Thinking.
    2. Refet Gurkaynak, 2005. "Econometric Tests of Asset Price Bubbles: Taking Stock," Finance 0504008, University Library of Munich, Germany.
    3. Londoño Yarce, Juan Miguel & Regúlez Castillo, Marta & Vázquez Pérez, Jesús, 2014. "An Alternative View of the US Price-Dividend Ratio Dynamics," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    4. Fredj Jawadi & Georges Prat, 2012. "Arbitrage costs and nonlinear adjustment in the G7 stock markets," Applied Economics, Taylor & Francis Journals, vol. 44(12), pages 1561-1582, April.
    5. Angelos Kanas, 2003. "Non-linear forecasts of stock returns," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(4), pages 299-315.
    6. Fernando Alexandre & Vasco J. Gabriel & Pedro Bação, 2007. "The Consumption-Wealth Ratio Under Asymmetric Adjustment," NIPE Working Papers 15/2007, NIPE - Universidade do Minho.
    7. Esteve García, Vicente & Navarro Ibáñez, Manuel & Prats Albentosa, María Asuncíon, 2017. "The present value model of U.S. stock prices revisited: Long-run evidence with structural breaks, 1871-2012," Economics Discussion Papers 2017-93, Kiel Institute for the World Economy (IfW Kiel).
    8. Driffill, John & Sola, Martin, 2006. "Target zones for exchange rates and policy changes," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 912-931, October.
    9. Leandro Arozamena & Juan-José Ganuza & Federico Weinschelbaum, 2021. "Renegotiation and Discrimination in Symmetric Procurement Auctions," Documentos de Trabajo 19429, The Latin American and Caribbean Economic Association (LACEA).
    10. Zhang, Yue-Jun & Yao, Ting, 2016. "Interpreting the movement of oil prices: Driven by fundamentals or bubbles?," Economic Modelling, Elsevier, vol. 55(C), pages 226-240.
    11. John Driffill & Turalay Kenc & Martin Sola, 2013. "Real Options With Priced Regime-Switching Risk," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1-30.
    12. Oreste Napolitano, 2009. "Is the impact of the ECB Monetary Policy on EMU stock market returns asymmetric?," STUDI ECONOMICI, FrancoAngeli Editore, vol. 0(97), pages 145-180.
    13. Gabriel, Vasco J. & Psaradakis, Zacharias & Sola, Martin, 2002. "A simple method of testing for cointegration subject to multiple regime changes," Economics Letters, Elsevier, vol. 76(2), pages 213-221, July.
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    15. Bond, Derek & Gallagher, Emer & Ramsey, Elaine, 2012. "A preliminary investigation of northern Ireland's housing market dynamics," MPRA Paper 39806, University Library of Munich, Germany.
    16. Nneji, Ogonna, 2015. "Liquidity shocks and stock bubbles," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 132-146.
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    21. Christian Gouriéroux & Joann Jasiak & Alain Monfort, 2016. "Stationary Bubble Equilibria in Rational Expectation Models," Working Papers 2016-31, Center for Research in Economics and Statistics.
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    26. Rafiq Ahmed & Syed Tehseen Jawaid & Samina Khalil, 2021. "Bubble Detection in Housing Market: Evidence From a Developing Country," SAGE Open, , vol. 11(2), pages 21582440211, April.
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    29. Michael Brandt, Qi Zeng and Lu Zhang, 2001. "Equilibrium Stock Return Dynamics Under Alternative Rules of Learning About Hidden States," Computing in Economics and Finance 2001 41, Society for Computational Economics.
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    36. Fredj Jawadi, 2008. "Estimating The S&P Fundamental Value Using Star Models," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 2(1), pages 137-146.
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    38. Vasco J. Gabriel & Martin Sola & Zacharias Psaradakis, 2001. "A simple method for testing cointegration subject to regime changes," NIPE Working Papers 15/2001, NIPE - Universidade do Minho.
    39. Al-Anaswah, Nael & Wilfling, Bernd, 2011. "Identification of speculative bubbles using state-space models with Markov-switching," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1073-1086, May.
    40. Nunes, Maurício Simiano & da Silva, Sérgio, 2009. "Bolhas Racionais no Índice Bovespa," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 63(2), June.
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    42. Bradley Jones, 2014. "Identifying Speculative Bubbles: A Two-Pillar Surveillance Framework," IMF Working Papers 2014/208, International Monetary Fund.
    43. Manzan, S., 2003. "Nonlinear Mean Reversion in Stock Prices," CeNDEF Working Papers 03-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    44. Morita Rubens & Psaradakis Zacharias & Sola Martin & Yunis Patricio, 2024. "On testing for bubbles during hyperinflations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(1), pages 25-37, February.
    45. 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.
    46. Martin Sola, 2023. "Rational Bubbles: Too Many to be True?," Working Papers 240, Red Nacional de Investigadores en Economía (RedNIE).
    47. Matthew S. Yiu & Jun Yu & Lu Jin, 2012. "Detecting Bubbles in Hong Kong Residential Property Market," Working Papers 31-2012, Singapore Management University, School of Economics.
    48. Charles Nelson & Jeremy Piger & Eric Zivot, 1999. "Unit Root Tests in the Presence of Markov Regime-Switching," Discussion Papers in Economics at the University of Washington 0040, Department of Economics at the University of Washington.
    49. Damianov, Damian S & Escobari, Diego, 2015. "Long-Run Equilibrium Shift and Short-Run Dynamics of U.S. Home Price Tiers during the Housing Bubble," MPRA Paper 65765, University Library of Munich, Germany.
    50. Tomas E. Caravello & John Driffill & Turalay Kenc & Martin Sola, 2023. "Risk Aversion and Changes in Regime," Working Papers 237, Red Nacional de Investigadores en Economía (RedNIE).
    51. Londono, Juan M. & Regúlez, Marta & Vázquez, Jesús, 2015. "An alternative view of the US price–dividend ratio dynamics," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 291-307.
    52. Chen, Shyh-Wei & Hsu, Chi-Sheng & Xie, Zixong, 2016. "Are there periodically collapsing bubbles in the stock markets? New international evidence," Economic Modelling, Elsevier, vol. 52(PB), pages 442-451.
    53. Esteve, Vicente & Navarro-Ibáñez, Manuel & Prats, María A., 2020. "Stock prices, dividends, and structural changes in the long-term: The case of U.S," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    54. Gutierrez, Maria-Jose & Vazquez, Jesus, 2004. "Switching equilibria: the present value model for stock prices revisited," Journal of Economic Dynamics and Control, Elsevier, vol. 28(11), pages 2297-2325, October.
    55. Charles Ka-Yui Leung, 2004. "Macroeconomics and Housing: A Review of the Literature," Departmental Working Papers _164, Chinese University of Hong Kong, Department of Economics.
    56. Esteban Gómez & Sandra Rozo, 2008. "Beyond bubbles: the role of asset prices in early-warning indicators," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 26(56), pages 114-148, June.
    57. Cho, Dooyeon & Han, Heejoon & Lee, Na Kyeong, 2019. "Carry trades and endogenous regime switches in exchange rate volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 255-268.
    58. James D. Hamilton, 2016. "Macroeconomic Regimes and Regime Shifts," NBER Working Papers 21863, National Bureau of Economic Research, Inc.
    59. Matthew S. Yiu & Lu Jin, 2012. "Detecting Bubbles in the Hong Kong Residential Property Market: An Explosive-Pattern Approach," Working Papers 012012, Hong Kong Institute for Monetary Research.
    60. J. R. Kim & K. Chung, 2014. "Regime switching and the (in)stability of the price-rent relationship: evidence from the US," Applied Economics, Taylor & Francis Journals, vol. 46(33), pages 4041-4052, November.
    61. Vicente Esteve & Manuel Navarro-Ibáñez & María A. Prats, 2013. "The present value model of U.S. stock prices revisited: long-run evidence with structural breaks, 1871-2010," Working Papers 13-04, Asociación Española de Economía y Finanzas Internacionales.
    62. K. Moses Tule & O. Taiwo Ajilore, 2016. "On the stability of the money multiplier in Nigeria: Co-integration analyses with regime shifts in banking system liquidity," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1187780-118, December.
    63. Wasim Ahmad & N. Bhanumurthy & Sanjay Sehgal, 2015. "Regime dependent dynamics and European stock markets: Is asset allocation really possible?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(1), pages 77-107, February.
    64. Nielsen, Steen & Olesen, Jan Overgaard, 2001. "Modeling The Dividend-Price Ratio: The Role Of Fundamentals Using A Regime-Switching Approach," Working Papers 12-2000, Copenhagen Business School, Department of Economics.
    65. Chourdakis, Kyriakos & Dendramis, Yiannis & Tzavalis, Elias, 2014. "Are regime-shift sources of risk priced in the market?," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 151-170.
    66. Friedrich Geiecke & Mark Trede, 2010. "A Direct Test of Rational Bubbles," CQE Working Papers 1310, Center for Quantitative Economics (CQE), University of Muenster.
    67. Alexandre, Fernando & Bacao, Pedro & Gabriel, Vasco J., 2007. "Volatility in asset prices and long-run wealth effect estimates," Economic Modelling, Elsevier, vol. 24(6), pages 1048-1064, November.
    68. Antonio N. Bojanic, 2021. "A Markov-Switching Model of Inflation in Bolivia," Economies, MDPI, vol. 9(1), pages 1-18, March.
    69. Uribe Gil, Jorge Mario, 2013. "Testing for multiple bubbles with daily data," Documentos de Trabajo 11028, Universidad del Valle, CIDSE.
    70. Vasco J. Gabriel & Martin Sola & Zacharias Psaradakis, 2002. "Residual-based tests for cointegration and multiple regime shifts," NIPE Working Papers 7/2002, NIPE - Universidade do Minho.
    71. Peter Toth & Petr Zemcik, 2006. "What Makes Firms in Emerging Markets Attractive to Foreign Investors? Micro-evidence from the Czech Republic," CERGE-EI Working Papers wp294, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    72. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

  35. Driffill, John & Psaradakis, Zacharias & Sola, Martin, 1998. "Testing the Expectations Hypothesis of the Term Structure Using Instrumental Variables," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 3(4), pages 321-325, October.

    Cited by:

    1. Meng-Fen Hsieh & Chien-Chiang Lee, 2010. "The Puzzle Between Banking Competition and Profitability can be Solved: International Evidence from Bank-Level Data," Journal of Financial Services Research, Springer;Western Finance Association, vol. 38(2), pages 135-157, December.
    2. Lee, Chien-Chiang & Hsieh, Meng-Fen, 2013. "The impact of bank capital on profitability and risk in Asian banking," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 251-281.
    3. Smant, David / D.J.C., 2010. "Direct tests of the expectations theory of the term structure: Survey expectations, the term premium and coefficient biases," MPRA Paper 19815, University Library of Munich, Germany.
    4. Mehmet Balcilar & Rangan Gupta & Chien-Chiang Lee & Godwin Olasehinde-Williams, 2018. "The Synergistic Effect of Insurance and Banking Sector Activities on Economic Growth in Africa," Working Papers 201818, University of Pretoria, Department of Economics.
    5. Argyropoulos Efthymios & Tzavalis Elias, 2015. "Term spread regressions of the rational expectations hypothesis of the term structure allowing for risk premium effects," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(1), pages 49-70, February.
    6. Tzavalis, Elias, 2004. "The term premium and the puzzles of the expectations hypothesis of the term structure," Economic Modelling, Elsevier, vol. 21(1), pages 73-93, January.
    7. Argyropoulos, Efthymios & Tzavalis, Elias, 2015. "Real term structure forecasts of consumption growth," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 208-222.
    8. Bredin, Don, 2001. "Alternative Tests of the Expectations Hypothesis of the Term Structure of Interest Rates," Research Technical Papers 2/RT/01, Central Bank of Ireland.

  36. Psaradakis, Zacharias & Sola, Martin, 1998. "Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching," Journal of Econometrics, Elsevier, vol. 86(2), pages 369-386, June.

    Cited by:

    1. Carol Alexander & Anca Dimitriu, 2003. "Equity Indexing: Conitegration and Stock Price Dispersion: A Regime Switiching Approach to market Efficiency," ICMA Centre Discussion Papers in Finance icma-dp2003-02, Henley Business School, University of Reading.
    2. fabio spagnolod & Zacharias Psaradakis & Martin Sola, 2003. "Testing the Unbiased Forward Exchange Rate Hypothesis Using a Markov Switching Model and Instrumental Variables," Economics and Finance Discussion Papers 03-15, Economics and Finance Section, School of Social Sciences, Brunel University.
    3. Smith, Aaron & Naik, Prasad A. & Tsai, Chih-Ling, 2006. "Markov-switching model selection using Kullback-Leibler divergence," Journal of Econometrics, Elsevier, vol. 134(2), pages 553-577, October.
    4. José P. Dapena & Juan A. Serur & Julián R. Siri, 2018. "Measuring and trading volatility on the US stock market: A regime switching approach," CEMA Working Papers: Serie Documentos de Trabajo. 659, Universidad del CEMA.
    5. Marie Bessec, 2019. "Revisiting the transitional dynamics of business-cycle phases with mixed-frequency data," Post-Print hal-02181552, HAL.
    6. Carol Alexander & Anca Dimitriu, 2005. "Detecting Switching Strategies in Equity Hedge Funds," ICMA Centre Discussion Papers in Finance icma-dp2005-07, Henley Business School, University of Reading.
    7. Marian Vavra, 2013. "Testing for linear and Markov switching DSGE models," Working and Discussion Papers WP 3/2013, Research Department, National Bank of Slovakia.
    8. Aneta Wlodarczyk, 2017. "Regime-dependent Assessment of Risk Concerning the International Aviation Inclusion Into the EU ETS," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 17, pages 129-145.
    9. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2022. "Maximum Likelihood Estimation in Markov Regime‐Switching Models With Covariate‐Dependent Transition Probabilities," Econometrica, Econometric Society, vol. 90(4), pages 1681-1710, July.
    10. Tsung-wu Ho, 2001. "Analyzing the Crowding-out Problems of Taiwan," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 26(1), pages 115-131, June.
    11. Yong Song & Tomasz Wo'zniak, 2020. "Markov Switching," Papers 2002.03598, arXiv.org.
    12. Michael Frömmel & Darko B. Vukovic & Jinyuan Wu, 2022. "The Dollar Exchange Rate, Adjustment to the Purchasing Power Parity, and the Interest Rate Differential," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    13. Jean-Marie Dufour & Richard Luger, 2017. "Identification-robust moment-based tests for Markov switching in autoregressive models," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 713-727, October.
    14. Matthieu Droumaguet & Tomasz Wozniak, 2012. "Bayesian Testing of Granger Causality in Markov-Switching VARs," Economics Working Papers ECO2012/06, European University Institute.
    15. Monica Billio & Silvio Di Sanzo, 2015. "Granger-causality in Markov switching models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(5), pages 956-966, May.
    16. Georges Dionne & Amir Saissi Hassani, 2015. "Endogenous Hidden Markov Regimes in Operational Loss Data: Application to the Recent Financial Crisis," Cahiers de recherche 1516, CIRPEE.
    17. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2016. "Maximum Likelihood Estimation in Possibly Misspeci ed Dynamic Models with Time-Inhomogeneous Markov Regimes," Department of Economics Working Papers 2016_04, Universidad Torcuato Di Tella.
    18. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Testing for sign and amplitude asymmetries using threshold autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 30(4), pages 623-654, April.
    19. Hiroshi Ishijima & Masaki Uchida, 2011. "The Regime Switching Portfolios," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 18(2), pages 167-189, May.
    20. Kuang-Liang Chang, 2011. "The optimal value-at-risk hedging strategy under bivariate regime switching ARCH framework," Applied Economics, Taylor & Francis Journals, vol. 43(21), pages 2627-2640.
    21. José P. Dapena & Juan A. Serur & Julián R. Siri, 2019. "Risk on-Risk off: A regime switching model for active portfolio management," CEMA Working Papers: Serie Documentos de Trabajo. 706, Universidad del CEMA.
    22. Kapetanios, George, 2000. "Small sample properties of the conditional least squares estimator in SETAR models," Economics Letters, Elsevier, vol. 69(3), pages 267-276, December.
    23. Marian Vavra, 2023. "Bias-Correction in Time Series Quantile Regression Models," Working and Discussion Papers WP 3/2023, Research Department, National Bank of Slovakia.
    24. Psaradakis Zacharias & Sola Martin & Spagnolo Fabio, 2006. "Instrumental-Variables Estimation in Markov Switching Models with Endogenous Explanatory Variables: An Application to the Term Structure of Interest Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-31, May.
    25. Chao-Chun Chen & Wen-Jen Tsay, 2007. "Estimating Markov-Switching ARMA Models with Extended Algorithms of Hamilton," IEAS Working Paper : academic research 07-A009, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    26. Tronzano, Marco & Psaradakis, Zacharias & Sola, Martin, 2003. "Target zone credibility and economic fundamentals," Economic Modelling, Elsevier, vol. 20(4), pages 791-807, July.
    27. M. Araceli Rodríguez López, "undated". "Variables fundamentales o ataques "Self-fulfilling"? Una explicación a las crisis de credibilidad de la peseta espanola," Studies on the Spanish Economy 90, FEDEA.
    28. Martín Solá & Zacharias Psaradakis & Fabio Spagnolo & Nicola Spagnolo, 2010. "Some Cautionary Results Concerning Markov-Switching Models with Time-Varying Transition Probabilities," Department of Economics Working Papers 2010-12, Universidad Torcuato Di Tella.
    29. Marie Bessec, 2015. "Revisiting the transitional dynamics of business-cycle phases with mixed frequency data," Post-Print hal-01276824, HAL.
    30. Sungjun Cho & Liu Liu, 2023. "Correcting estimation bias in regime switching dynamic term structure models," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 1093-1127, October.
    31. Hiroshi Ishijima & Masaki Uchida, 2011. "Log Mean-Variance Portfolio Selection Under Regime Switching," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 18(2), pages 213-229, May.
    32. Tsung-Wu Ho, 2001. "Finite-sample properties of the bootstrap estimator in a Markov-switching model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(7), pages 835-842.
    33. ZHU Xiaoneng & Shahidur RAHMAN, 2009. "A Regime Switching Macro-finance Model of the Term Structure," Economic Growth Centre Working Paper Series 0901, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    34. Kerekes, Monika, 2009. "Growth miracles and failures in a Markov switching classification model of growth," Discussion Papers 2009/11, Free University Berlin, School of Business & Economics.

  37. Driffill, John & Psaradakis, Zacharias & Sola, Martin, 1997. "A Reconciliation of Some Paradoxical Empirical Results on the Expectations Model of the Term Structure," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(1), pages 29-42, February.

    Cited by:

    1. Daniel L. Thornton, 2004. "Tests of the expectations hypothesis: resolving the Campbell-Shiller paradox," Working Papers 2003-022, Federal Reserve Bank of St. Louis.
    2. Mark E. Wohar & Robert Sollis, 2007. "Tests for Asymmetric Threshold Cointegration with an Application to the Term Structure," Journal of Economic Insight, Missouri Valley Economic Association, vol. 33(2), pages 1-19.
    3. Psaradakis, Zacharias & Sola, Martin, 1996. "On the power of tests for superexogeneity and structural invariance," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 151-175.
    4. Esteve, Vicente, 2006. "A note on nonlinear dynamics in the Spanish term structure of interest rates," International Review of Economics & Finance, Elsevier, vol. 15(3), pages 316-323.
    5. Petko Kalev & Brett Inder, 2006. "The information content of the term structure of interest rates," Applied Economics, Taylor & Francis Journals, vol. 38(1), pages 33-45.
    6. Éric Jondeau, 2001. "La théorie des anticipations de la structure par terme permet-elle de rendre compte de l'évolution des taux d'intérêt sur euro-devise ?," Annals of Economics and Statistics, GENES, issue 62, pages 139-174.
    7. Camarero, Mariam & Tamarit, Cecilio, 2002. "Instability tests in cointegration relationships. An application to the term structure of interest rates," Economic Modelling, Elsevier, vol. 19(5), pages 783-799, November.
    8. Smant, David / D.J.C., 2010. "Direct tests of the expectations theory of the term structure: Survey expectations, the term premium and coefficient biases," MPRA Paper 19815, University Library of Munich, Germany.
    9. Brooks, Chris & Rew, Alistair G., 2002. "Testing for non-stationarity and cointegration allowing for the possibility of a structural break: an application to EuroSterling interest rates," Economic Modelling, Elsevier, vol. 19(1), pages 65-90, January.
    10. Massimo Guidolin & Daniel L. Thornton, 2010. "Predictions of short-term rates and the expectations hypothesis," Working Papers 2010-013, Federal Reserve Bank of St. Louis.
    11. Psaradakis Zacharias & Sola Martin & Spagnolo Fabio, 2006. "Instrumental-Variables Estimation in Markov Switching Models with Endogenous Explanatory Variables: An Application to the Term Structure of Interest Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-31, May.
    12. Tzavalis, Elias, 2004. "The term premium and the puzzles of the expectations hypothesis of the term structure," Economic Modelling, Elsevier, vol. 21(1), pages 73-93, January.
    13. Argyropoulos, Efthymios & Tzavalis, Elias, 2015. "Real term structure forecasts of consumption growth," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 208-222.
    14. Bredin, Don, 2001. "Alternative Tests of the Expectations Hypothesis of the Term Structure of Interest Rates," Research Technical Papers 2/RT/01, Central Bank of Ireland.
    15. Efthymios Argyropoulos & Nikolaos Elias & Dimitris Smyrnakis & Elias Tzavalis, 2021. "Can country-specific interest rate factors explain the forward premium anomaly?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(2), pages 252-269, April.

  38. Hall, Stephen & Psaradakis, Zacharias & Sola, Martin, 1997. "Switching error-correction models of house prices in the United Kingdom," Economic Modelling, Elsevier, vol. 14(4), pages 517-527, October.

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    1. Bessec, Marie, 2003. "Mean-reversion vs. adjustment to PPP: the two regimes of exchange rate dynamics under the EMS, 1979-1998," Economic Modelling, Elsevier, vol. 20(1), pages 141-164, January.
    2. Diego Winkelried Quezada, 2003. "Indicadores adelantados de la inflación en el Perú," Monetaria, CEMLA, vol. 0(4), pages 345-382, octubre-d.
    3. Michail Karoglou & Bruce Morley & Dennis Thomas, 2013. "Risk and Structural Instability in US House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 424-436, April.
    4. Hany Guirguis & Christos Giannikos & Randy Anderson, 2004. "The US Housing Market: Asset Pricing Forecasts Using Time Varying Coefficients," The Journal of Real Estate Finance and Economics, Springer, vol. 30(1), pages 33-53, October.
    5. Fontana, Alessandro & Corradin, Stefano, 2013. "House price cycles in Europe," Working Paper Series 1613, European Central Bank.
    6. Kennedy, Gerard & O'Brien, Eoin & Woods, Maria, 2016. "Assessing the sustainability of Irish residential property prices: 1980Q1-2016Q2," Economic Letters 11/EL/16, Central Bank of Ireland.
    7. Chatziantoniou, Ioannis & Filis, George & Floros, Christos, 2015. "Asset prices regime-switching and the role of inflation targeting monetary policy," MPRA Paper 68666, University Library of Munich, Germany.
    8. Frömmel, Michael & Schmidt, Torsten, 2006. "Bank Lending and Asset Prices in the Euro Area," RWI Discussion Papers 42, RWI - Leibniz-Institut für Wirtschaftsforschung.
    9. Michael Frömmel & Darko B. Vukovic & Jinyuan Wu, 2022. "The Dollar Exchange Rate, Adjustment to the Purchasing Power Parity, and the Interest Rate Differential," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    10. Beatrice D. Simo-Kengne & Mehmet Balcilar & Rangan Gupta & Monique Reid & Goodness C. Aye, 2012. "Is The Relationship Between Monetary Policy And House Prices Asymmetric In South Africa? Evidence From A Markov-Switching Vector Autoregressive Model," Working Papers 201222, University of Pretoria, Department of Economics.
    11. Markus Eller & Michael Frömmel & Nora Srzentic, 2010. "Private Sector Credit in CESEE: Long-Run Relationships and Short-Run Dynamics," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 50-78.
    12. Maurice J. Roche, 1999. "Irish house prices: will the roof fall in?," Economics Department Working Paper Series n890699, Department of Economics, National University of Ireland - Maynooth.
    13. Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2004. "On Markov error-correction models, with an application to stock prices and dividends," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 69-88.
    14. Kenny, Geoff, 1998. "The Housing Market and the Macroeconomy: Evidence From Ireland," Research Technical Papers 1/RT/98, Central Bank of Ireland.
    15. Nneji, Ogonna & Brooks, Chris & Ward, Charles W.R., 2013. "House price dynamics and their reaction to macroeconomic changes," Economic Modelling, Elsevier, vol. 32(C), pages 172-178.
    16. Simo-Kengne, Beatrice D. & Balcilar, Mehmet & Gupta, Rangan & Reid, Monique & Aye, Goodness C., 2013. "Is the relationship between monetary policy and house prices asymmetric across bull and bear markets in South Africa? Evidence from a Markov-switching vector autoregressive model," Economic Modelling, Elsevier, vol. 32(C), pages 161-171.
    17. Petra Posedel & Maruska Vizek, 2010. "The Nonlinear House Price Adjustment Process in Developed and Transition Countries," Working Papers 1001, The Institute of Economics, Zagreb.
    18. Chang, Kuang-Liang, 2010. "House price dynamics, conditional higher-order moments, and density forecasts," Economic Modelling, Elsevier, vol. 27(5), pages 1029-1039, September.
    19. Charles Nelson & Jeremy Piger & Eric Zivot, 1999. "Unit Root Tests in the Presence of Markov Regime-Switching," Discussion Papers in Economics at the University of Washington 0040, Department of Economics at the University of Washington.
    20. Psaradakis, Zacharias & Sola, Martin, 2024. "Markov-Switching Models with State-Dependent Time-Varying Transition Probabilities," Econometrics and Statistics, Elsevier, vol. 29(C), pages 49-63.
    21. Kuang-Liang Chang & Ming-Hui Yen, 2014. "The magnitude and significance of macroeconomic variables in explaining regional housing fluctuations," Economics Bulletin, AccessEcon, vol. 34(2), pages 828-841.
    22. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    23. Héctor A. Valle S., 2003. "Pronósticos de inflación para Guatemala hechos con modelos ARIMA y VAR," Monetaria, CEMLA, vol. 0(4), pages 407-428, octubre-d.
    24. Gary John Rangel & Jason Wei Jian Ng, 2017. "Macroeconomic Drivers of Singapore Private Residential Prices: A Markov-Switching Approach," Capital Markets Review, Malaysian Finance Association, vol. 25(2), pages 15-31.
    25. Ampudia, Miguel & Mayordomo, Sergio, 2018. "Borrowing constraints and housing price expectations in the euro area," Economic Modelling, Elsevier, vol. 72(C), pages 410-421.
    26. Lucey, Brian M. & Voronkova, Svitlana, 2008. "Russian equity market linkages before and after the 1998 crisis: Evidence from stochastic and regime-switching cointegration tests," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1303-1324, December.
    27. Robinson Kruse & Michael Frömmel & Lukas Menkhoff & Philipp Sibbertsen, 2012. "What do we know about real exchange rate nonlinearities?," Empirical Economics, Springer, vol. 43(2), pages 457-474, October.
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    32. Helmut Herwartz & Fang Xu, 2020. "Low Mortgage Rates and Securitization: A Distinct Perspective on the US Housing Boom," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(1), pages 164-190, January.
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    35. Zacharias Psaradakis & Fabio Spagnolo, 2005. "Forecast performance of nonlinear error-correction models with multiple regimes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 119-138.
    36. Claudia Arguedas & Jorge Requena, 2003. "La dolarización en Bolivia: una estimación de la elasticidad de sustitución entre monedas," Monetaria, CEMLA, vol. 0(4), pages 383-406, octubre-d.
    37. Ihle, Rico & von Cramon-Taubadel, Stephan, 2008. "A Comparison of Threshold Cointegration and Markov-Switching Vector Error Correction Models in Price Transmission Analysis," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37603, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    38. Kenny, Geoff, 1999. "Modelling the demand and supply sides of the housing market: evidence from Ireland1," Economic Modelling, Elsevier, vol. 16(3), pages 389-409, August.
    39. Jesús R. González García, 2003. "La dinámica del consumo privado en México: un análisis de cointegración con cambios de régimen," Monetaria, CEMLA, vol. 0(4), pages 429-449, octubre-d.
    40. Jonathan Hambur & Lynne Cockerell & Christopher Potter & Penelope Smith & Michelle Wright, 2015. "Modelling the Australian Dollar," RBA Research Discussion Papers rdp2015-12, Reserve Bank of Australia.

  39. Hall, Stephen G & Psaradakis, Zacharias & Sola, Martin, 1997. "Cointegration and Changes in Regime: The Japanese Consumption Function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 151-168, March-Apr.

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    1. Carol Alexander & Anca Dimitriu, 2003. "Equity Indexing: Conitegration and Stock Price Dispersion: A Regime Switiching Approach to market Efficiency," ICMA Centre Discussion Papers in Finance icma-dp2003-02, Henley Business School, University of Reading.
    2. Diego Winkelried Quezada, 2003. "Indicadores adelantados de la inflación en el Perú," Monetaria, CEMLA, vol. 0(4), pages 345-382, octubre-d.
    3. fabio spagnolod & Zacharias Psaradakis & Martin Sola, 2003. "Testing the Unbiased Forward Exchange Rate Hypothesis Using a Markov Switching Model and Instrumental Variables," Economics and Finance Discussion Papers 03-15, Economics and Finance Section, School of Social Sciences, Brunel University.
    4. Sadiye Baykara & Erdinç Telatar, 2012. "The Stationarity Of Consumption-Income Ratios With Nonlinear And Asymmetric Unit Root Tests: Evidence From Fourteen Transition Economies," Hacettepe University Department of Economics Working Papers 20129, Hacettepe University, Department of Economics.
    5. Gabriel, Vasco J. & Psaradakis, Zacharias & Sola, Martin, 2002. "A simple method of testing for cointegration subject to multiple regime changes," Economics Letters, Elsevier, vol. 76(2), pages 213-221, July.
    6. Tomás del Barrio Castro & Gianluca Cubadda & Denise R. Osborn, 2022. "On cointegration for processes integrated at different frequencies," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 412-435, May.
    7. Nagayasu, Jun, 2012. "The threshold consumption correlation-based approach to international capital mobility: evidence from advanced and developing countries," MPRA Paper 36215, University Library of Munich, Germany.
    8. Ripamonti, Alexandre, 2013. "Rational Valuation Formula (RVF) and Time Variability in Asset Rates of Return," MPRA Paper 79460, University Library of Munich, Germany.
    9. Cai, Charlie X. & McGuinness, Paul B. & Zhang, Qi, 2011. "The pricing dynamics of cross-listed securities: The case of Chinese A- and H-shares," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 2123-2136, August.
    10. Miller, Stephen M. & Martins, Luis Filipe & Gupta, Rangan, 2019. "A Time-Varying Approach Of The Us Welfare Cost Of Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 23(2), pages 775-797, March.
    11. Tsung-wu Ho, 2001. "Analyzing the Crowding-out Problems of Taiwan," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 26(1), pages 115-131, June.
    12. Charles R. Nelson & Jeremy M. Piger & Eric Zivot, 2001. "Markov regime switching and unit root tests," Working Papers 2001-013, Federal Reserve Bank of St. Louis.
    13. Vasco J. Gabriel & Luis F. Martins, 2010. "Cointegration Tests Under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," NIPE Working Papers 28/2010, NIPE - Universidade do Minho.
    14. Kaufmann, Sylvia & Kugler, Peter, 2005. "Expected Money Growth, Markov Trends and the Instability of Money Demand in the Euro Area," Working papers 2005/07, Faculty of Business and Economics - University of Basel.
    15. Kurita, Takamitsu, 2010. "Co-breaking, cointegration, and weak exogeneity: Modelling aggregate consumption in Japan," Economic Modelling, Elsevier, vol. 27(2), pages 574-584, March.
    16. Vasco Gabriel & Pataaree Sangduan, 2009. "Assessing Fiscal Sustainability Subject to Policy Changes: a Markov Switching Cointegration Approach," School of Economics Discussion Papers 0309, School of Economics, University of Surrey.
    17. Vasco J. Gabriel & Martin Sola & Zacharias Psaradakis, 2001. "A simple method for testing cointegration subject to regime changes," NIPE Working Papers 15/2001, NIPE - Universidade do Minho.
    18. Bahmani-Oskooee, Mohsen & Xi, Dan, 2012. "Exchange rate volatility and domestic consumption: Evidence from Japan," Economic Systems, Elsevier, vol. 36(2), pages 326-335.
    19. Fernando Alexandre & Pedro Bação & Vasco Gabriel, 2005. "On the Stability of the Wealth Effect," GEMF Working Papers 2005-17, GEMF, Faculty of Economics, University of Coimbra.
    20. Neto, David, 2021. "Adaptive LASSO for selecting Fourier coefficients in a functional smooth time-varying cointegrating regression: An application to the Feldstein–Horioka puzzle," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 179(C), pages 253-264.
    21. Brooks, Chris & Rew, Alistair G., 2002. "Testing for non-stationarity and cointegration allowing for the possibility of a structural break: an application to EuroSterling interest rates," Economic Modelling, Elsevier, vol. 19(1), pages 65-90, January.
    22. Okubo, Masakatsu, 2002. "Long-Run Relationship between Consumption and Income in Japan: Tests of the Deterministic Cointegration Restriction," Journal of the Japanese and International Economies, Elsevier, vol. 16(2), pages 253-278, June.
    23. Smith, Richard J. & Robert Taylor, A. M., 2001. "Recursive and rolling regression-based tests of the seasonal unit root hypothesis," Journal of Econometrics, Elsevier, vol. 105(2), pages 309-336, December.
    24. Taylor, Andrew & Shepherd, David & Duncan, Stephen, 2005. "The structure of the Australian growth process: A Bayesian model selection view of Markov switching," Economic Modelling, Elsevier, vol. 22(4), pages 628-645, July.
    25. Paap, R. & van Dijk, H.K., 2002. "Bayes estimates of Markov trends in possibly cointegrated series: an application to US consumption and income," Econometric Institute Research Papers EI 2002-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    26. Vasco J. Gabriel & Luis F. Martins, 2000. "The Properties of Cointegration Tests in Models with Structural Change," NIPE Working Papers 1/2000, NIPE - Universidade do Minho.
    27. Héctor A. Valle S., 2003. "Pronósticos de inflación para Guatemala hechos con modelos ARIMA y VAR," Monetaria, CEMLA, vol. 0(4), pages 407-428, octubre-d.
    28. Maki, Daiki, 2012. "Tests for cointegration allowing for an unknown number of breaks," Economic Modelling, Elsevier, vol. 29(5), pages 2011-2015.
    29. Lucey, Brian M. & Voronkova, Svitlana, 2008. "Russian equity market linkages before and after the 1998 crisis: Evidence from stochastic and regime-switching cointegration tests," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1303-1324, December.
    30. Hecq, Alain, 1998. "Does seasonal adjustment induce common cycles?," Economics Letters, Elsevier, vol. 59(3), pages 289-297, June.
    31. Psaradakis Zacharias & Sola Martin & Spagnolo Fabio, 2006. "Instrumental-Variables Estimation in Markov Switching Models with Endogenous Explanatory Variables: An Application to the Term Structure of Interest Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-31, May.
    32. Neville Francis & Michael T. Owyang, 2004. "Monetary policy in a Markov-switching VECM: implications for the cost of disinflation and the price puzzle," Working Papers 2003-001, Federal Reserve Bank of St. Louis.
    33. Martins, Luis F. & Gabriel, Vasco J., 2014. "Modelling long run comovements in equity markets: A flexible approach," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 288-295.
    34. Daiki Maki, 2013. "Detecting cointegration relationships under nonlinear models: Monte Carlo analysis and some applications," Empirical Economics, Springer, vol. 45(1), pages 605-625, August.
    35. Claudia Arguedas & Jorge Requena, 2003. "La dolarización en Bolivia: una estimación de la elasticidad de sustitución entre monedas," Monetaria, CEMLA, vol. 0(4), pages 383-406, octubre-d.
    36. Alexandre, Fernando & Bacao, Pedro & Gabriel, Vasco J., 2007. "Volatility in asset prices and long-run wealth effect estimates," Economic Modelling, Elsevier, vol. 24(6), pages 1048-1064, November.
    37. Khan, Asad Ul Islam & Shahbaz, Muhammad & Napari, Ayuba, 2023. "Subsample stability, change detection and dynamics of oil and metal markets: A recursive approach," Resources Policy, Elsevier, vol. 83(C).
    38. ap Gwilym, Rhys & Kanas, Angelos & Molyneux, Philip, 2013. "U.S. prompt corrective action and bank risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 239-257.
    39. Jesús R. González García, 2003. "La dinámica del consumo privado en México: un análisis de cointegración con cambios de régimen," Monetaria, CEMLA, vol. 0(4), pages 429-449, octubre-d.
    40. Vasco J. Gabriel & Martin Sola & Zacharias Psaradakis, 2002. "Residual-based tests for cointegration and multiple regime shifts," NIPE Working Papers 7/2002, NIPE - Universidade do Minho.
    41. Sandy Suardi, 2010. "Nonstationarity, cointegration and structural breaks in the Australian term structure of interest rates," Applied Economics, Taylor & Francis Journals, vol. 42(22), pages 2865-2879.

  40. Psaradakis, Zacharias & Sola, Martin, 1996. "On the power of tests for superexogeneity and structural invariance," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 151-175.
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  41. Blackburn, Keith & Sola, Martin, 1996. "Market Fundamentals versus Speculative Bubbles: A New Test Applied to the German Hyperinflation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 1(4), pages 303-317, October.

    Cited by:

    1. Leandro Arozamena & Juan-José Ganuza & Federico Weinschelbaum, 2021. "Renegotiation and Discrimination in Symmetric Procurement Auctions," Documentos de Trabajo 19429, The Latin American and Caribbean Economic Association (LACEA).
    2. Keith Anderson & Chris Brooks & Sotiris Tsolacos, 2009. "Testing for periodically collapsing rational speculative bubbles in US REITs," ICMA Centre Discussion Papers in Finance icma-dp2009-11, Henley Business School, University of Reading.
    3. Morita Rubens & Psaradakis Zacharias & Sola Martin & Yunis Patricio, 2024. "On testing for bubbles during hyperinflations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(1), pages 25-37, February.
    4. Hing Chan & Kai Woo, 2006. "Bubbles detection for inter-war European hyperinflation: A threshold cointegration approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 30(2), pages 169-185, June.
    5. Óscar J. Arce, 2006. "Speculative hyperinflations: when can we rule them out?," Working Papers 0607, Banco de España.
    6. Juha Junttila, 2003. "Detecting speculative bubbles in an IT-intensive stock market," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(2), pages 166-189, June.
    7. Mark A. Hooker, 1997. "Misspecification versus bubbles in hyperinflation data: Monte Carlo and interwar European evidence," Finance and Economics Discussion Series 1997-49, Board of Governors of the Federal Reserve System (U.S.).
    8. Jirasakuldech, Benjamas & Emekter, Riza & Rao, Ramesh P., 2008. "Do Thai stock prices deviate from fundamental values?," Pacific-Basin Finance Journal, Elsevier, vol. 16(3), pages 298-315, June.
    9. Vijay Kumar Vishwakarma & Ohannes George Paskelian, 2012. "Bubble In The Indian Real Estate Markets: Identification Using Regime-Switching Methodology," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 6(3), pages 27-40.

  42. Ravn, Morten O. & Sola, Martin, 1995. "Stylized facts and regime changes: Are prices procyclical?," Journal of Monetary Economics, Elsevier, vol. 36(3), pages 497-526, December.

    Cited by:

    1. Ravn, Morten & Uhlig, Harald, 2001. "On Adjusting the HP-Filter for the Frequency of Observations," CEPR Discussion Papers 2858, C.E.P.R. Discussion Papers.
    2. van Dijk, D.J.C. & Terasvirta, T. & Franses, Ph.H.B.F., 2000. "Smooth transition autoregressive models - A survey of recent developments," Econometric Institute Research Papers EI 2000-23/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Saverio Simonelli & Haroon Mumtaz & Paolo Surico, 2009. "A Historical Perspective on International Co-movements: 1821-2007," 2009 Meeting Papers 523, Society for Economic Dynamics.
    4. Marcin Owczarczuk, 2009. "Maximum Score Type Estimators," Working Papers 30, Department of Applied Econometrics, Warsaw School of Economics.
    5. Clements, M.C. & Krolzig, H.-M., 2001. "Modelling Business Cycle Features Using Switching Regime Models," Economics Series Working Papers 9958, University of Oxford, Department of Economics.
    6. Andrea Cipollini & Kostas Mouratidis & Nicola Spagnolo, 2008. "Evaluating currency crises: the case of the European monetary system," Empirical Economics, Springer, vol. 35(1), pages 11-27, August.
    7. Marjan Petreski, 2010. "An Overhaul of a Doctrine: Has Inflation Targeting Opened a New Era in Developing-country Peggers?," FIW Working Paper series 057, FIW.
    8. Haroon Mumtaz & Saverio Simonelli & Paolo Surico, 2009. "International Comovements, Business Cycle and Inflation: a Historical Perspective," CSEF Working Papers 233, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    9. Marlene Amstad & Andreas M. Fischer, 2009. "Do macroeconomic announcements move inflation forecasts?," Review, Federal Reserve Bank of St. Louis, vol. 91(Sep), pages 507-518.
    10. Fischer, Andreas & Amstad, Marlene, 2005. "Shock Identification of Macroeconomic Forecasts Based on Daily Panels," CEPR Discussion Papers 5008, C.E.P.R. Discussion Papers.
    11. Martin Sola & Fabio Spagnolo & Nicola Spagnolo, 2002. "A Test for Volatility Spillovers," Economics and Finance Discussion Papers 02-04, Economics and Finance Section, School of Social Sciences, Brunel University.
    12. Yong Song & Tomasz Wo'zniak, 2020. "Markov Switching," Papers 2002.03598, arXiv.org.
    13. Den Haan, Wouter & Sumner, Steven, 2001. "The Comovements between Real Activity and Prices in the G7," CEPR Discussion Papers 2801, C.E.P.R. Discussion Papers.
    14. BEINE, Michel & LAURENT, Sébastien & LECOURT, Christelle, 2003. "Official central bank interventions and exchange rate volatility: Evidence from a regime-switching analysis," LIDAM Reprints CORE 1705, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Wouter J. den Haan, 2002. "The Comovement between Real Activity and Prices in the G7," Tinbergen Institute Discussion Papers 02-092/2, Tinbergen Institute.
    16. van Holle, Frederiek, 2017. "Essays in empirical finance and monetary policy," Other publications TiSEM 30d11a4b-7bc9-4c81-ad24-5, Tilburg University, School of Economics and Management.
    17. Buera, Francisco & Nicolini, Juan Pablo, 2004. "Optimal maturity of government debt without state contingent bonds," Journal of Monetary Economics, Elsevier, vol. 51(3), pages 531-554, April.
    18. Clements, Michael P & Krolzig, Hans-Martin, 2003. "Business Cycle Asymmetries: Characterization and Testing Based on Markov-Switching Autoregressions," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 196-211, January.
    19. Kerim Peren ARIN & Otto. F. REICH & Oliver LORZ & Nicola SPAGNOLO, 2010. "Understanding Homeland Security: Theory and UK Evidence," EcoMod2010 259600011, EcoMod.
    20. Jedrzej Białkowski & Dobromił Serwa, 2005. "Financial contagion, spillovers and causality in the Markov switching framework," Quantitative Finance, Taylor & Francis Journals, vol. 5(1), pages 123-131.
    21. Bialkowski, Jedrzej & Bohl, Martin T. & Serwa, Dobromil, 2006. "Testing for financial spillovers in calm and turbulent periods," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(3), pages 397-412, July.
    22. George Davis & Bryce Kanago, 2002. "The contemporaneous correlation between price shocks and output shocks," Applied Economics, Taylor & Francis Journals, vol. 34(18), pages 2333-2339.
    23. Marjan Petreski, 2011. "A Markov Switch to Inflation Targeting in Emerging Market Peggers with a Focus on the Czech Republic, Poland and Hungary," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 57-75.
    24. Sola, Martin & Spagnolo, Fabio & Spagnolo, Nicola, 2007. "Predicting Markov volatility switches using monetary policy variables," Economics Letters, Elsevier, vol. 95(1), pages 110-116, April.

  43. Keith Blackburn & Felipe Orduna & Martin Sola, 1995. "Exponential smoothing and spurious correlation: a note," Applied Economics Letters, Taylor & Francis Journals, vol. 2(3), pages 76-79.

    Cited by:

    1. Tawadros, George B., 2011. "The stylised facts of Australia's business cycle," Economic Modelling, Elsevier, vol. 28(1), pages 549-556.
    2. Galimberti, Jaqueson K. & Moura, Marcelo L., 2016. "Improving the reliability of real-time output gap estimates using survey forecasts," International Journal of Forecasting, Elsevier, vol. 32(2), pages 358-373.
    3. Jaqueson K. Galimberti & Marcelo L. Moura, 2011. "Improving the reliability of real-time Hodrick-Prescott filtering using survey forecasts," Centre for Growth and Business Cycle Research Discussion Paper Series 159, Economics, The University of Manchester.

  44. Funke, Michael & Hall, Stephen & Sola, Martin, 1994. "Rational bubbles during Poland's hyperinflation: Implications and empirical evidence," European Economic Review, Elsevier, vol. 38(6), pages 1257-1276, June.
    See citations under working paper version above.
  45. Sola, Martin & Driffill, John, 1994. "Testing the term structure of interest rates using a stationary vector autoregression with regime switching," Journal of Economic Dynamics and Control, Elsevier, vol. 18(3-4), pages 601-628.

    Cited by:

    1. Ang, Andrew & Bekaert, Geert, 2002. "Regime Switches in Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 163-182, April.
    2. Andrew Ang & Allan Timmermann, 2011. "Regime Changes and Financial Markets," NBER Working Papers 17182, National Bureau of Economic Research, Inc.
    3. Driffill, John & Sola, Martin, 2006. "Target zones for exchange rates and policy changes," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 912-931, October.
    4. Arielle Beyaert & Juan rez-Castej, 2000. "Switching regime models in the Spanish inter-bank market," The European Journal of Finance, Taylor & Francis Journals, vol. 6(2), pages 93-112.
    5. Jesús Vázquez, 2004. "Switching Regimes in the Term Structure of Interest Rates During U.S. Post-War: A case for the Lucas proof equilibrium?," Economic Working Papers at Centro de Estudios Andaluces E2004/11, Centro de Estudios Andaluces.
    6. Liu, Wen-Hsien & Chyi, Yih-Luan, 2006. "A Markov regime-switching model for the semiconductor industry cycles," Economic Modelling, Elsevier, vol. 23(4), pages 569-578, July.
    7. Sharon Kozicki & Peter A. Tinsley, 2001. "What do you expect? : imperfect policy credibility and tests of the expectations hypothesis?," Research Working Paper RWP 01-02, Federal Reserve Bank of Kansas City.
    8. Constantino Hevia & Martín Sola & Ivan Petrella, 2022. "Bond risk premia, priced regime shifts, and macroeconomic fundamentals," Department of Economics Working Papers 2022_03, Universidad Torcuato Di Tella.
    9. Vázquez Pérez, Jesús, 2002. "Switching Regimes in the Term Structure of Interest Rates During U.S. Post-War: A case for the Lucas proof equilibrium?," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    10. Blix, Mårten, 1997. "Rational Expectations in a VAR with Markov Switching," Seminar Papers 627, Stockholm University, Institute for International Economic Studies.
    11. Chew Lian Chua & Sandy Suardi, 2007. "Markov‐Switching Mean Reversion in Short‐Term Interest Rates: Evidence from East Asian Economies," The Economic Record, The Economic Society of Australia, vol. 83(263), pages 383-397, December.
    12. Zhu, Xiaoneng, 2011. "Revisiting the expectations hypothesis: The Japanese term structure and regime shifts," Journal of Economics and Business, Elsevier, vol. 63(3), pages 237-249, May.
    13. Tillmann, Peter, 2007. "Inflation regimes in the US term structure of interest rates," Economic Modelling, Elsevier, vol. 24(2), pages 203-223, March.
    14. Martin D. D. Evans, 2003. "Real risk, inflation risk, and the term structure," Economic Journal, Royal Economic Society, vol. 113(487), pages 345-389, April.
    15. Enzo Weber & Jürgen Wolters, 2013. "Risk and Policy Shocks on the US Term Structure," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(1), pages 101-119, February.
    16. Psaradakis, Zacharias & Sola, Martin, 1996. "On the power of tests for superexogeneity and structural invariance," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 151-175.
    17. Arielle Beyaert & Juan Jose Perez-Castejon, 2009. "Markov-switching models, rational expectations and the term structure of interest rates," Applied Economics, Taylor & Francis Journals, vol. 41(3), pages 399-412.
    18. José Luis Fernández Serrano & Mª Dolores Robles Fernández, 2002. "Política Monetaria y Cambios de Régimen en los tipos de Interés del Mercado Interbancario," Documentos de Trabajo del ICAE 0209, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    19. Elliott, Robert J. & Siu, Tak Kuen & Badescu, Alexandru, 2011. "On pricing and hedging options in regime-switching models with feedback effect," Journal of Economic Dynamics and Control, Elsevier, vol. 35(5), pages 694-713, May.
    20. Pami Dua, 2008. "Interest Rate Modeling and Forecasting in India," Working Papers id:1521, eSocialSciences.
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    26. Massacci, D., 2007. "Identification and Estimation in an Incoherent Model of Contagion," Cambridge Working Papers in Economics 0744, Faculty of Economics, University of Cambridge.
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