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Robinson Kruse

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Tobias Basse & Robinson Kruse & Christoph Wegener, 2017. "The Walking Debt Crisis," CREATES Research Papers 2017-06, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Ning Wang, 2023. "A dynamic analysis of the demand for life insurance during the 2008 financial crisis: evidence from the panel Survey of Consumer Finances," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(4), pages 733-759, October.
    2. Basse, Tobias & Desmyter, Steven & Saft, Danilo & Wegener, Christoph, 2023. "Leading indicators for the US housing market: New empirical evidence and thoughts about implications for risk managers and ESG investors," International Review of Financial Analysis, Elsevier, vol. 89(C).
    3. Mili, Mehdi, 2019. "The impact of tradeoff between risk and return on mean reversion in sovereign CDS markets," Research in International Business and Finance, Elsevier, vol. 48(C), pages 187-200.
    4. António Afonso & João Tovar Jalles, 2020. "Economic volatility and sovereign yields’ determinants: a time-varying approach," Empirical Economics, Springer, vol. 58(2), pages 427-451, February.
    5. Driouchi, Tarik & So, Raymond H.Y. & Trigeorgis, Lenos, 2020. "Investor ambiguity, systemic banking risk and economic activity: The case of too-big-to-fail," Journal of Corporate Finance, Elsevier, vol. 62(C).
    6. Dimitrios Asteriou & Keith Pilbeam & Antonios Sarantidis, 2019. "The Behaviour of Banking Stocks During the Financial Crisis and Recessions. Evidence from Changes‐in‐Changes Panel Data Estimations," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 154-179, February.
    7. Joscha Beckmann & Robert L. Czudaj, 2020. "Net Foreign Asset Positions, Capital Flows and GDP Spillovers," Open Economies Review, Springer, vol. 31(2), pages 295-308, April.
    8. Christoph Wegener & Tobias Basse, 2019. "The Stability of Factor Sensitivities of German Stock Market Sector Indices: Empirical Evidence and Some Thoughts about Practical Implications," JRFM, MDPI, vol. 12(3), pages 1-10, August.
    9. Julien Chevallier, 2021. "Covid-19 Outbreak and CO2 Emissions: Macro-Financial Linkages," Working Papers 2021-004, Department of Research, Ipag Business School.
    10. Robinson Kruse & Christoph Wegener, 2019. "Explosive behaviour and long memory with an application to European bond yield spreads," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 139-153, February.
    11. Li, Yulei & Hu, Shiyang & Zhang, Shu & Xue, Rui, 2023. "The Power of the Imperial Envoy: The Impact of Central Government Onsite Environmental Supervision Policy on Corporate Green Innovation," Finance Research Letters, Elsevier, vol. 52(C).
    12. Gallego-Losada, Rocío & Montero-Navarro, Antonio & Rodríguez-Sánchez, José-Luis & González-Torres, Thais, 2022. "Retirement planning and financial literacy, at the crossroads. A bibliometric analysis," Finance Research Letters, Elsevier, vol. 44(C).
    13. Basse, Tobias, 2020. "Solvency II and sovereign credit risk: Additional empirical evidence and some thoughts about implications for regulators and lawmakers," International Review of Law and Economics, Elsevier, vol. 64(C).
    14. Vera Ivanyuk, 2023. "Development of an Econometric Model of Crisis and Assessment of the Crisis Risk," Mathematics, MDPI, vol. 11(22), pages 1-29, November.
    15. Paulo M. M. Rodrigues & Philipp Sibbertsen & Michelle Voges, 2024. "The stability of government bond markets’ equilibrium and the interdependence of lending rates," Empirical Economics, Springer, vol. 67(6), pages 2503-2538, December.
    16. Caferra, Rocco & Vidal-Tomás, David, 2021. "Who raised from the abyss? A comparison between cryptocurrency and stock market dynamics during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 43(C).
    17. Dong, Xiyong & Xiong, Youlin & Nie, Siyue & Yoon, Seong-Min, 2023. "Can bonds hedge stock market risks? Green bonds vs conventional bonds," Finance Research Letters, Elsevier, vol. 52(C).
    18. Meier, Samira & Rodriguez Gonzalez, Miguel & Kunze, Frederik, 2021. "The global financial crisis, the EMU sovereign debt crisis and international financial regulation: lessons from a systematic literature review," International Review of Law and Economics, Elsevier, vol. 65(C).
    19. Thomas R. Berry-Stölzle & Meghan Irene Esson, 2024. "Capital issuances and premium growth in the property–liability insurance industry: evidence from the financial crisis and COVID-19 recession," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(1), pages 1-25, January.
    20. Allen, Kyle D. & Baig, Ahmed & Winters, Drew B., 2023. "The response of money market funds to the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 54(C).

  2. Robinson Kruse & Christian Leschinski & Michael Will, 2016. "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," CREATES Research Papers 2016-17, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Becker, Janis & Leschinski, Christian, 2018. "The Bias of Realized Volatility," Hannover Economic Papers (HEP) dp-642, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Daniel Borup & Bent Jesper Christensen & Yunus Emre Ergemen, 2019. "Assessing predictive accuracy in panel data models with long-range dependence," CREATES Research Papers 2019-04, Department of Economics and Business Economics, Aarhus University.

  3. Niels Haldrup & Robinson Kruse, 2014. "Discriminating between fractional integration and spurious long memory," CREATES Research Papers 2014-19, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Luis A. Gil-Alana & Rangan Gupta, 2013. "Persistence and Cycles in Historical Oil Prices Data," Working Papers 201375, University of Pretoria, Department of Economics.
    2. Guillaume Chevillon & Alain Hecq & Sébastien Laurent, 2018. "Generating Univariate Fractional Integration within a Large VAR(1)," AMSE Working Papers 1844, Aix-Marseille School of Economics, France.
    3. Ata Assaf & Luis Alberiko Gil-Alana & Khaled Mokni, 2022. "True or spurious long memory in the cryptocurrency markets: evidence from a multivariate test and other Whittle estimation methods," Empirical Economics, Springer, vol. 63(3), pages 1543-1570, September.
    4. Sibbertsen, Philipp & Leschinski, Christian & Busch, Marie, 2018. "A multivariate test against spurious long memory," Journal of Econometrics, Elsevier, vol. 203(1), pages 33-49.
    5. Chevillon, Guillaume & Mavroeidis, Sophocles, 2017. "Learning can generate long memory," Journal of Econometrics, Elsevier, vol. 198(1), pages 1-9.
    6. Nima Nonejad, 2019. "Modeling Persistence and Parameter Instability in Historical Crude Oil Price Data Using a Gibbs Sampling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1687-1710, April.
    7. Dalla, Violetta, 2015. "Power transformations of absolute returns and long memory estimation," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 1-18.
    8. Davide Delle Monache & Stefano Grassi & Paolo Santucci de Magistris, 2017. "Does the ARFIMA really shift?," CREATES Research Papers 2017-16, Department of Economics and Business Economics, Aarhus University.
    9. Gianluca Cubadda & Alain Hecq & Antonio Riccardo, 2018. "Forecasting Realized Volatility Measures with Multivariate and Univariate Models: The Case of The US Banking Sector," CEIS Research Paper 445, Tor Vergata University, CEIS, revised 30 Oct 2018.
    10. Less, Vivien & Sibbertsen, Philipp, 2022. "Estimation and Testing in a Perturbed Multivariate Long Memory Framework," Hannover Economic Papers (HEP) dp-704, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  4. Robinson Kruse & Daniel Ventosa-Santaulària & Antonio E. Noriega, 2013. "Changes in persistence, spurious regressions and the Fisher hypothesis," CREATES Research Papers 2013-11, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Robinson Kruse & Daniel Ventosa-Santaulària & Antonio E. Noriega, 2013. "Changes in persistence, spurious regressions and the Fisher hypothesis," CREATES Research Papers 2013-11, Department of Economics and Business Economics, Aarhus University.

  5. Hendrik Kaufmannz & Robinson Kruse, 2013. "Bias-corrected estimation in potentially mildly explosive autoregressive models," CREATES Research Papers 2013-10, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Kruse, Robinson & Kaufmann, Hendrik & Wegener, Christoph, 2018. "Bias-corrected estimation for speculative bubbles in stock prices," Economic Modelling, Elsevier, vol. 73(C), pages 354-364.
    2. Skrobotov Anton, 2023. "Testing for explosive bubbles: a review," Dependence Modeling, De Gruyter, vol. 11(1), pages 1-26, January.

  6. Kaufmann, Hendrik & Kruse, Robinson & Sibbertsen, Philipp, 2012. "A simple specification procedure for the transition function in persistent nonlinear time series models," Hannover Economic Papers (HEP) dp-500, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

    Cited by:

    1. He, HongWen & Zhang, YongZhi & Xiong, Rui & Wang, Chun, 2015. "A novel Gaussian model based battery state estimation approach: State-of-Energy," Applied Energy, Elsevier, vol. 151(C), pages 41-48.
    2. Grote, Claudia & Sibbertsen, Philipp, 2013. "Testing for Cointegration in a Double-LSTR Framework," Hannover Economic Papers (HEP) dp-514, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  7. Matei Demetrescu & Robinson Kruse, 2012. "The Power of Unit Root Tests Against Nonlinear Local Alternatives," CREATES Research Papers 2012-01, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Takashi Matsuki, 2016. "Linear and nonlinear comovement in Southeast Asian local currency bond markets: a stepwise multiple testing approach," Empirical Economics, Springer, vol. 51(2), pages 591-619, September.
    2. Ahmad Jafari Samimi & Saeed Karimi Petanlar & Jalal Montazeri Shoorekchali, 2017. "Testing Fiscal Reaction Function in Iran:AnApplication of Nonlinear Dickey-Fuller (NDF) Test," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(3), pages 567-581, Summer.
    3. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2012. "Unit roots, nonlinearities and structural breaks," CREATES Research Papers 2012-14, Department of Economics and Business Economics, Aarhus University.
    4. Harvey David I. & Leybourne Stephen J. & Whitehouse Emily J., 2018. "Testing for a unit root against ESTAR stationarity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(1), pages 1-29, February.
    5. Neil Kellard & Denise Osborn & Jerry Coakley & Christian Conrad & Menelaos Karanasos, 2015. "On the Transmission of Memory in Garch-in-Mean Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(5), pages 706-720, September.
    6. Aaron D. Smallwood, 2016. "A Monte Carlo Investigation of Unit Root Tests and Long Memory in Detecting Mean Reversion in I(0) Regime Switching, Structural Break, and Nonlinear Data," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 986-1012, June.

  8. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2012. "Unit roots, nonlinearities and structural breaks," CREATES Research Papers 2012-14, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Kathia Pinz'on, 2016. "Analysis of Price and Income Elasticities of Energy Demand in Ecuador: A Dynamic OLS Approach," Papers 1611.05288, arXiv.org.
    2. Christensen, Bent Jesper & Varneskov, Rasmus Tangsgaard, 2017. "Medium band least squares estimation of fractional cointegration in the presence of low-frequency contamination," Journal of Econometrics, Elsevier, vol. 197(2), pages 218-244.
    3. Khan, Mashrur Mustaque & Yousuf, Ahmed Sadek, 2013. "Macroeconomic Forces and Stock Prices:Evidence from the Bangladesh Stock Market," MPRA Paper 46528, University Library of Munich, Germany.
    4. Robinson Kruse & Daniel Ventosa-Santaulària & Antonio E. Noriega, 2013. "Changes in persistence, spurious regressions and the Fisher hypothesis," CREATES Research Papers 2013-11, Department of Economics and Business Economics, Aarhus University.

  9. M. Frömmel & R. Kruse, 2011. "Testing for a rational bubble under long memory," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/722, Ghent University, Faculty of Economics and Business Administration.

    Cited by:

    1. Z. Sun & P. A. Hamill & Y. Li & Y. C. Yang & S. A. Vigne, 2019. "Did long-memory of liquidity signal the European sovereign debt crisis?," Annals of Operations Research, Springer, vol. 282(1), pages 355-377, November.
    2. 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.
    3. Kristoffer Pons Bertelsen, 2019. "Comparing Tests for Identification of Bubbles," CREATES Research Papers 2019-16, Department of Economics and Business Economics, Aarhus University.
    4. Jörg Breitung & Robinson Kruse, 2013. "When bubbles burst: econometric tests based on structural breaks," Statistical Papers, Springer, vol. 54(4), pages 911-930, November.
    5. Asif, Raheel & Frömmel, Michael, 2022. "Testing Long memory in exchange rates and its implications for the adaptive market hypothesis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    6. Francesca Pancotto & Giorgio Addessi & Nicola Auteri, 2024. "Soccer Bubble: Is There a Speculative Bubble in the Price of International Soccer Players?," Journal of Sports Economics, , vol. 25(5), pages 535-556, June.
    7. Baur, Dirk G. & Glover, Kristoffer J., 2015. "Speculative trading in the gold market," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 63-71.
    8. Sibbertsen, Philipp & Wegener, Christoph & Basse, Tobias, 2013. "Testing for a Break in the Persistence in Yield Spreads of EMU Government Bonds," Hannover Economic Papers (HEP) dp-517, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  10. Robinson Kruse & Sanne Hiller, 2010. "Milestones of European Integration: Which matters most for Export Openness?," CREATES Research Papers 2010-27, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Christiane Krieger-Boden & R�diger Soltwedel, 2013. "Identifying European Economic Integration and Globalization: A Review of Concepts and Measures," Regional Studies, Taylor & Francis Journals, vol. 47(9), pages 1425-1442, October.
    2. Mariam Camarero & Estrella Gómez & Cecilio Tamarit, 2013. "EMU and Trade Revisited: Long-Run Evidence Using Gravity Equations," The World Economy, Wiley Blackwell, vol. 36(9), pages 1146-1164, September.
    3. Mariam Camarero & Estrella Gómez & Cecilio Tamarit, 2012. "EMU and intra-European trade. Long-run evidence using gravity equations," ThE Papers 10/25, Department of Economic Theory and Economic History of the University of Granada..

  11. Robinson Kruse & Philipp Sibbertsen, 2010. "Long memory and changing persistence," CREATES Research Papers 2010-42, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Robinson Kruse & Daniel Ventosa-Santaulària & Antonio E. Noriega, 2013. "Changes in persistence, spurious regressions and the Fisher hypothesis," CREATES Research Papers 2013-11, Department of Economics and Business Economics, Aarhus University.
    2. Strohsal, Till & Winkelmann, Lars, 2012. "Assessing the anchoring of inflation expectations," SFB 649 Discussion Papers 2012-022, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Chen, Zhanshou & Xing, Yuhong & Li, Fuxiao, 2016. "Sieve bootstrap monitoring for change from short to long memory," Economics Letters, Elsevier, vol. 140(C), pages 53-56.
    4. Canarella, Giorgio & Miller, Stephen M., 2017. "Inflation targeting and inflation persistence: New evidence from fractional integration and cointegration," Journal of Economics and Business, Elsevier, vol. 92(C), pages 45-62.

  12. Robinson Kruse & Michael Frömmel & Lukas Menkhoff & Philipp Sibbertsen, 2009. "What do we know about real exchange rate non-linearities?," CREATES Research Papers 2009-50, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne Peguin-Feissolle, 2011. "Purchasing power parity and the long memory properties of real exchange rates: does one size fit all?," Working Papers halshs-00559170, HAL.
    2. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2012. "Unit roots, nonlinearities and structural breaks," CREATES Research Papers 2012-14, Department of Economics and Business Economics, Aarhus University.
    3. Hendrik Kaufmann & Robinson Kruse & Philipp Sibbertsen, 2012. "On tests for linearity against STAR models with deterministic trends," CREATES Research Papers 2012-20, Department of Economics and Business Economics, Aarhus University.
    4. Dinçer Afat & Michael Frömmel, 2020. "An Alternative Version of Purchasing Power Parity," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 511-517, October.
    5. Beckmann, Joscha, 2011. "Nonlinear Adjustment, Purchasing Power Parity and the Role of Nominal Exchange Rates and Prices," Ruhr Economic Papers 272, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Burns, Kelly & Moosa, Imad A., 2015. "Enhancing the forecasting power of exchange rate models by introducing nonlinearity: Does it work?," Economic Modelling, Elsevier, vol. 50(C), pages 27-39.
    7. Aaron D. Smallwood, 2016. "A Monte Carlo Investigation of Unit Root Tests and Long Memory in Detecting Mean Reversion in I(0) Regime Switching, Structural Break, and Nonlinear Data," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 986-1012, June.
    8. Brian M. Lucey & Fergal A. O’Connor, 2013. "Do bubbles occur in the gold price? An investigation of gold lease rates and Markov Switching models," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 13(3), pages 53-63, September.
    9. Leandro Maciel & Rosangela Ballini, 2021. "Functional Fuzzy Rule-Based Modeling for Interval-Valued Data: An Empirical Application for Exchange Rates Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 743-771, February.

  13. Florian Heinen & Philipp Sibbertsen & Robinson Kruse, 2009. "Forecasting long memory time series under a break in persistence," CREATES Research Papers 2009-53, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. M. Frömmel & R. Kruse, 2011. "Testing for a rational bubble under long memory," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/722, Ghent University, Faculty of Economics and Business Administration.
    2. Mwasi Paza Mboya & Philipp Sibbertsen, 2023. "Optimal forecasts in the presence of discrete structural breaks under long memory," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1889-1908, November.
    3. Heinen, Florian & Willert, Juliane, 2011. "Monitoring a change in persistence of a long range dependent time series," Hannover Economic Papers (HEP) dp-479, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Sibbertsen, Philipp & Wegener, Christoph & Basse, Tobias, 2013. "Testing for a Break in the Persistence in Yield Spreads of EMU Government Bonds," Hannover Economic Papers (HEP) dp-517, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  14. Michael Frömmel & Robinson Kruse, 2009. "Interest rate convergence in the EMS prior to European Monetary Union," CREATES Research Papers 2009-23, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. James McNeil, 2024. "Modeling interest rate setting at the European Central Bank with bargaining models and counterfactuals," Empirical Economics, Springer, vol. 66(3), pages 1037-1053, March.
    2. Tobias Basse & Robinson Kruse & Christoph Wegener, 2017. "The Walking Debt Crisis," CREATES Research Papers 2017-06, Department of Economics and Business Economics, Aarhus University.
    3. Léonore Raguideau-Hannotin, 2021. "Monetary autonomy of CESEE countries and nominal convergence in EMU: a cointegration analysis with structural breaks," Working Papers hal-03279499, HAL.
    4. Ingo G. Bordon & Kai D. Schmid & Michael Schmidt, 2014. "Hypnosis Before Wake-up Call?! The Revival of Sovereign Credit Risk Perception in the EMU-Crisis," CESifo Working Paper Series 4946, CESifo.
    5. Minoas Koukouritakis, 2017. "Eurozone debt crisis and bond yields convergence: evidence from the new EU countries," Economic Change and Restructuring, Springer, vol. 50(3), pages 239-258, August.
    6. Nikolaos Antonakakis & Christina Christou & Juncal Cunado & Rangan Gupta, 2016. "Convergence Patterns in Sovereign Bond Yield Spreads: Evidence from the Euro Area," Working Papers 201616, University of Pretoria, Department of Economics.
    7. Carnazza, Giovanni & Liberati, Paolo, 2021. "The asymmetric impact of the pandemic crisis on interest rates on public debt in the Eurozone," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 521-542.
    8. Schmid, Kai Daniel & Schmidt, Michael, 2012. "EMU, the changing role of public debt and the revival of sovereign credit risk perception," University of Tübingen Working Papers in Business and Economics 48, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    9. Kai Daniel Schmid & Michael Schmidt, 2012. "EMU and the Renaissance of Sovereign Credit Risk Perception," IAW Discussion Papers 87, Institut für Angewandte Wirtschaftsforschung (IAW).
    10. Christoph Wegener & Tobias Basse & Philipp Sibbertsen & Duc Khuong Nguyen, 2019. "Liquidity risk and the covered bond market in times of crisis: empirical evidence from Germany," Annals of Operations Research, Springer, vol. 282(1), pages 407-426, November.
    11. M. Frömmel & R. Kruse, 2009. "Interest rate convergence in the EMS prior to European Monetary Union," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/610, Ghent University, Faculty of Economics and Business Administration.
    12. Robinson Kruse & Christoph Wegener, 2019. "Explosive behaviour and long memory with an application to European bond yield spreads," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 139-153, February.
    13. Sibbertsen, Philipp & Wegener, Christoph & Basse, Tobias, 2013. "Testing for a Break in the Persistence in Yield Spreads of EMU Government Bonds," Hannover Economic Papers (HEP) dp-517, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    14. Kerkemeier, Marco & Kruse-Becher, Robinson, 2022. "Join the club! Dynamics of global ESG indices convergence," Finance Research Letters, Elsevier, vol. 49(C).

  15. Kruse, Robinson, 2008. "A new unit root test against ESTAR based on a class of modified statistics," Hannover Economic Papers (HEP) dp-398, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

    Cited by:

    1. Hepsag, Aycan, 2017. "A unit root test based on smooth transitions and nonlinear adjustment," MPRA Paper 81788, University Library of Munich, Germany.
    2. Muhammad Zakaria & Seemab Tanveer & Bashir Ahmad Fida & Muhammad Iftikhar ul Husnain, 2023. "Inflation Differential Pass-Through to Exchange Rate: Some Evidence From Pakistan," SAGE Open, , vol. 13(4), pages 21582440231, December.
    3. Yamin Ahmad & Adam Check & Ming Chien Lo, 2024. "Unit Roots in Macroeconomic Time Series: A Comparison of Classical, Bayesian and Machine Learning Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2139-2173, June.
    4. Juan Carlos Cuestas & Dean Garratt, 2008. "Is real GDP per capita a stationary process? Smooth transitions, nonlinear trends and unit root testing," NBS Discussion Papers in Economics 2008/12, Economics, Nottingham Business School, Nottingham Trent University.
    5. Güriş, Burak, 2017. "A Flexible Fourier Form Nonlinear Unit Root Test Based on ESTAR Model," MPRA Paper 83472, University Library of Munich, Germany.
    6. Gabriel Zsurkis & JoÃo Nicolau & Paulo M. M. Rodrigues, 2021. "A Re‐Examination of Inflation Persistence Dynamics in OECD Countries: A New Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 935-959, August.
    7. Dieu Nsenga & Mirada Nach & Hlalefang Khobai & Clement Moyo & Andrew Phiri, 2018. "Is it the natural rate or hysteresis hypothesis for unemployment in Newly Industrialized Economies?," Working Papers 1817, Department of Economics, Nelson Mandela University, revised Apr 2018.
    8. Peter Martey Addo & Monica Billio & Dominique Guegan, 2014. "The univariate MT-STAR model and a new linearity and unit root test procedure," Post-Print hal-01310518, HAL.
    9. Lingxiang Zhang, 2020. "Linearity tests and stochastic trend under the STAR framework," Statistical Papers, Springer, vol. 61(6), pages 2271-2282, December.
    10. Rickard Sandberg, 2015. "M-estimator based unit root tests in the ESTAR framework," Statistical Papers, Springer, vol. 56(4), pages 1115-1135, November.
    11. Jamal G. HUSEIN & S. Murat KARA, 2023. "Are Shocks To Electricity Consumption Permanent Or Transitory? Evidence From A Panel Stationarity Test With Gradual Structural Breaks For 25 Oecd Countries," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 23(1), pages 57-76.
    12. Galadima, Mukhtar Danladi & Aminu, Abubakar Wambai, 2020. "Nonlinear unit root and nonlinear causality in natural gas - economic growth nexus: Evidence from Nigeria," Energy, Elsevier, vol. 190(C).
    13. Erdas Mehmet Levent, 2019. "Validity of Weak-Form Market Efficiency in Central and Eastern European Countries (CEECs): Evidence from Linear and Nonlinear Unit Root Tests," Review of Economic Perspectives, Sciendo, vol. 19(4), pages 399-428, December.
    14. Andrew Phiri, 2018. "Robust analysis of convergence in per capita GDP in BRICS economies," Working Papers 1822, Department of Economics, Nelson Mandela University.
    15. Ayca Doganer, 2022. "Determining Unemployment Hysteresis in European Countries Using Linear and Nonlinear Unit Root Tests: The 1991-2020 Period," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 72(72-2), pages 753-785, December.
    16. Juan Carlos Cuestas & Luis A. Gil-Alana, 2011. "Unemployment hysteresis, structural changes, non-linearities and fractional integration in European transition economies," Working Papers 2011005, The University of Sheffield, Department of Economics, revised Feb 2011.
    17. Vasudeva Murthy, 2012. "A Time-Series Investigation of the U.S. Real Health Expenditure: Evidence from Nonlinear Unit Root Tests," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(4), pages 429-438, November.
    18. Cuestas, Juan Carlos & Regis, Paulo José, 2013. "Purchasing power parity in OECD countries: Nonlinear unit root tests revisited," Economic Modelling, Elsevier, vol. 32(C), pages 343-346.
    19. Hepsag, Aycan, 2017. "New unit root tests with two smooth breaks and nonlinear adjustment," MPRA Paper 83353, University Library of Munich, Germany.
    20. Adewuyi, Adeolu O. & Wahab, Bashir A. & Adeboye, Olusegun S., 2020. "Stationarity of prices of precious and industrial metals using recent unit root methods: Implications for markets’ efficiency," Resources Policy, Elsevier, vol. 65(C).
    21. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    22. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2012. "Unit roots, nonlinearities and structural breaks," CREATES Research Papers 2012-14, Department of Economics and Business Economics, Aarhus University.
    23. 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.
    24. 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.
    25. Peter Martey Addo & Monica Billio & Dominique Guegan, 2011. "A New Modelling Test: The Univariate MT-STAR Model," Documents de travail du Centre d'Economie de la Sorbonne 11083r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Aug 2013.
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    77. Shuhua Xu & Md. Qamruzzaman & Anass Hamadelneel Adow, 2021. "Is Financial Innovation Bestowed or a Curse for Economic Sustainably: The Mediating Role of Economic Policy Uncertainty," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
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    83. Gaies, Brahim & Chaâbane, Najeh & Bouzouita, Nesrine, 2024. "Navigating the storm: Time-frequency quantile dependence and non-linear causality between crypto-currency market volatility and financial instability," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 43-70.
    84. neifar, malika, 2020. "Efficient Markets Hypothesis in Canada:‎ a comparative study between Islamic and Conventional stock markets ‎," MPRA Paper 103175, University Library of Munich, Germany.
    85. Husein, Jamal, 2020. "Current account sustainability for 21 African economies: Evidence based on nonlinear flexible Fourier stationarity and unit-root tests," MPRA Paper 100410, University Library of Munich, Germany.
    86. Aaron D. Smallwood, 2016. "A Monte Carlo Investigation of Unit Root Tests and Long Memory in Detecting Mean Reversion in I(0) Regime Switching, Structural Break, and Nonlinear Data," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 986-1012, June.
    87. Gaies, Brahim & Chaâbane, Najeh & Arfaoui, Nadia & Sahut, Jean-Michel, 2024. "On the resilience of cryptocurrencies: A quantile-frequency analysis of bitcoin and ethereum reactions in times of inflation and financial instability," Research in International Business and Finance, Elsevier, vol. 70(PA).
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    91. Sakiru Adebola Solarin, 2019. "Modelling the relationship between financing by Islamic banking system and environmental quality: evidence from bootstrap autoregressive distributive lag with Fourier terms," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(6), pages 2867-2884, November.
    92. Muhammed TIRAŞOĞLU, 2024. "Is there convergence or divergence in per capita energy consumption in sub-Saharan African countries?," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(639), S), pages 129-140, Summer.
    93. Angad Siddharth & Constantinos Alexiou & Sofoklis Vogiazas, 2024. "Exchange Rate Regimes in India: Central Bank Interventions and Purchasing Power Parity in the Context of ASEAN Currencies," Economies, MDPI, vol. 12(4), pages 1-22, April.
    94. De Vita, Glauco & Trachanas, Emmanouil, 2016. "‘Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India’ — A failed replication (negative Type 1 and Type 2)," Energy Economics, Elsevier, vol. 56(C), pages 150-160.
    95. Saša Obradoviæ & Lela Ristiæ & Nemanja Lojanica, 2018. "Are unemployment rates stationary for SEE10 countries? Evidence from linear and nonlinear dynamics," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(2), pages 559-583.
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    102. Donauer, Stefanie & Heinen, Florian & Sibbertsen, Philipp, 2010. "Identification problems in ESTAR models and a new model," Hannover Economic Papers (HEP) dp-444, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    103. Sakiru Adebola SOLARIN, 2017. "The Stationarity of Consumption-Income Ratios: Nonlinear Evidence in ASEAN Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 109-123, June.
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    105. Ogali, Oscar I.O. & Okoro, Emeka E. & Olafuyi, Saburi G., 2023. "Assessing consensus on nexus between natural gas consumption and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).

  16. Sibbertsen, Philipp & Kruse, Robinson, 2007. "Testing for a break in persistence under long-range dependencies," Hannover Economic Papers (HEP) dp-381, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

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    1. Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Sibbertsen, Philipp, 2020. "The memory of stock return volatility: Asset pricing implications," Journal of Financial Markets, Elsevier, vol. 47(C).
    2. M. Frömmel & R. Kruse, 2011. "Testing for a rational bubble under long memory," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/722, Ghent University, Faculty of Economics and Business Administration.
    3. Heinen, Florian & Sibbertsen, Philipp & Kruse, Robinson, 2009. "Forecasting long memory time series under a break in persistence," Hannover Economic Papers (HEP) dp-433, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Assaf, Ata & Bhandari, Avishek & Charif, Husni & Demir, Ender, 2022. "Multivariate long memory structure in the cryptocurrency market: The impact of COVID-19," International Review of Financial Analysis, Elsevier, vol. 82(C).
    5. Hassler, Uwe & Meller, Barbara, 2011. "Detecting multiple breaks in long memory: The case of US inflation," Discussion Paper Series 1: Economic Studies 2011,26, Deutsche Bundesbank.
    6. Uwe Hassler & Jan Scheithauer, 2011. "Detecting changes from short to long memory," Statistical Papers, Springer, vol. 52(4), pages 847-870, November.
    7. Robinson Kruse & Philipp Sibbertsen, 2010. "Long memory and changing persistence," CREATES Research Papers 2010-42, Department of Economics and Business Economics, Aarhus University.
    8. Lajos Horváth & Hemei Li & Zhenya Liu, 2021. "How to identify the different phases of stock market bubbles statistically?," Post-Print hal-03511435, HAL.
    9. Sibbertsen, Philipp & Willert, Juliane, 2009. "Testing for a break in persistence under long-range dependencies and mean shifts," Hannover Economic Papers (HEP) dp-422, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    10. Busch, Ulrike & Nautz, Dieter, 2009. "Controllability and persistence of money Market rates along the yield curve: Evidence from the Euro area," SFB 649 Discussion Papers 2009-029, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    11. 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.
    12. Kruse, Robinson, 2008. "Rational bubbles and fractional integration," Hannover Economic Papers (HEP) dp-394, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    13. Soon, Siew-Voon & Baharumshah, Ahmad Zubaidi & Mohamad Shariff, Nurul Sima, 2017. "The persistence in real interest rates: Does it solve the intertemporal consumption behavior puzzle?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 36-51.
    14. Rodrigues, Paulo M.M. & Sibbertsen, Philipp & Voges, Michelle, 2019. "Testing for breaks in the cointegrating relationship: On the stability of government bond markets' equilibrium," Hannover Economic Papers (HEP) dp-656, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    15. Wingert, Simon & Mboya, Mwasi Paza & Sibbertsen, Philipp, 2020. "Distinguishing between breaks in the mean and breaks in persistence under long memory," Economics Letters, Elsevier, vol. 193(C).
    16. Davide Delle Monache & Stefano Grassi & Paolo Santucci de Magistris, 2017. "Does the ARFIMA really shift?," CREATES Research Papers 2017-16, Department of Economics and Business Economics, Aarhus University.
    17. Paulo M.M. Rodrigues & Uwe Hassler, 2014. "Persistence in the Banking Industry: Fractional integration and breaks in memory," Working Papers w201406, Banco de Portugal, Economics and Research Department.
    18. Grassi, Stefano & Santucci de Magistris, Paolo, 2014. "When long memory meets the Kalman filter: A comparative study," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 301-319.
    19. Zhanshou Chen & Yanting Xiao & Fuxiao Li, 2021. "Monitoring memory parameter change-points in long-memory time series," Empirical Economics, Springer, vol. 60(5), pages 2365-2389, May.
    20. Luis F. Martins & Paulo M. M. Rodrigues, 2022. "Tests for segmented cointegration: an application to US governments budgets," Empirical Economics, Springer, vol. 63(2), pages 567-600, August.
    21. Christoph Wegener & Tobias Basse & Philipp Sibbertsen & Duc Khuong Nguyen, 2019. "Liquidity risk and the covered bond market in times of crisis: empirical evidence from Germany," Annals of Operations Research, Springer, vol. 282(1), pages 407-426, November.
    22. Giorgio Canarella & Stephen M. Miller, 2016. "Inflation Persistence and Structural Breaks: The Experience of Inflation Targeting Countries and the US," Working papers 2016-21, University of Connecticut, Department of Economics.
    23. Chen, Zhanshou & Jin, Zi & Tian, Zheng & Qi, Peiyan, 2012. "Bootstrap testing multiple changes in persistence for a heavy-tailed sequence," Computational Statistics & Data Analysis, Elsevier, vol. 56(7), pages 2303-2316.
    24. Juan Carlos Cuestas & Luis A. Gil-Alana & Paulo José Regis, 2015. "The Sustainability of European External Debt: What have We Learned?," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 445-468, August.
    25. M. Frömmel & R. Kruse, 2009. "Interest rate convergence in the EMS prior to European Monetary Union," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/610, Ghent University, Faculty of Economics and Business Administration.
    26. Robinson Kruse & Daniel Ventosa-Santaulària & Antonio E. Noriega, 2013. "Changes in persistence, spurious regressions and the Fisher hypothesis," CREATES Research Papers 2013-11, Department of Economics and Business Economics, Aarhus University.
    27. Jorge M. L. Andraz & Raúl F. C. Guerreiro & Paulo M. M. Rodrigues, 2018. "Persistence of travel and leisure sector equity indices," Empirical Economics, Springer, vol. 54(4), pages 1801-1825, June.
    28. Katarzyna Lasak & Carlos Velasco, 2014. "Fractional Cointegration Rank Estimation," Tinbergen Institute Discussion Papers 14-021/III, Tinbergen Institute.
    29. Dominique Guégan, 2009. "A Meta-Distribution for Non-Stationary Samples," CREATES Research Papers 2009-24, Department of Economics and Business Economics, Aarhus University.
    30. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2009. "Long Memory in US Real Output per Capita," Discussion Papers of DIW Berlin 891, DIW Berlin, German Institute for Economic Research.
    31. Martins, Luis F. & Rodrigues, Paulo M.M., 2014. "Testing for persistence change in fractionally integrated models: An application to world inflation rates," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 502-522.
    32. Heinen, Florian & Willert, Juliane, 2011. "Monitoring a change in persistence of a long range dependent time series," Hannover Economic Papers (HEP) dp-479, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    33. Guillermo Ferreira & Jorge Mateu & Jose A. Vilar & Joel Muñoz, 2021. "Bootstrapping regression models with locally stationary disturbances," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 341-363, June.
    34. Chen, Zhanshou & Xing, Yuhong & Li, Fuxiao, 2016. "Sieve bootstrap monitoring for change from short to long memory," Economics Letters, Elsevier, vol. 140(C), pages 53-56.
    35. Sibbertsen, Philipp & Wegener, Christoph & Basse, Tobias, 2013. "Testing for a Break in the Persistence in Yield Spreads of EMU Government Bonds," Hannover Economic Papers (HEP) dp-517, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    36. Canarella, Giorgio & Miller, Stephen M., 2017. "Inflation targeting and inflation persistence: New evidence from fractional integration and cointegration," Journal of Economics and Business, Elsevier, vol. 92(C), pages 45-62.
    37. Kunze, Frederik & Basse, Tobias & Wegener, Christoph & Spiwoks, Markus, 2018. "The emergence of the RMB: A "New Normal" for China's exchange rate system?," University of Göttingen Working Papers in Economics 348, University of Goettingen, Department of Economics.
    38. Assaf, Ata & Mokni, Khaled & Yousaf, Imran & Bhandari, Avishek, 2023. "Long memory in the high frequency cryptocurrency markets using fractal connectivity analysis: The impact of COVID-19," Research in International Business and Finance, Elsevier, vol. 64(C).

  17. Robinson Kruse, "undated". "Forecasting autoregressive time series under changing persistenceCreation-Date: 20100701," CREATES Research Papers 2010-28, Department of Economics and Business Economics, Aarhus University.

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    1. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2014. "Unemployment Rate Hysteresis and the Great Recession: Exploring the Metropolitan Evidence," Working Papers 1403, University of Nevada, Las Vegas , Department of Economics.

Articles

  1. Robinson Kruse & Christoph Wegener, 2019. "Explosive behaviour and long memory with an application to European bond yield spreads," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 139-153, February.

    Cited by:

    1. Paulo M. M. Rodrigues & Philipp Sibbertsen & Michelle Voges, 2024. "The stability of government bond markets’ equilibrium and the interdependence of lending rates," Empirical Economics, Springer, vol. 67(6), pages 2503-2538, December.
    2. Festus Victor Bekun & Abdulkareem Alhassan & Ilhan Ozturk & Obadiah Jonathan Gimba, 2022. "Explosivity and Time-Varying Granger Causality: Evidence from the Bubble Contagion Effect of COVID-19-Induced Uncertainty on Manufacturing Job Postings in the United States," Mathematics, MDPI, vol. 10(24), pages 1-17, December.
    3. Joscha Beckmann & Robert L. Czudaj & Gary Koop, 2019. "An empirical assessment of recent challenges in today's financial markets," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 1-4, February.

  2. Wegener, Christoph & Kruse, Robinson & Basse, Tobias, 2019. "The walking debt crisis," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 382-402.
    See citations under working paper version above.
  3. Kruse, Robinson & Kaufmann, Hendrik & Wegener, Christoph, 2018. "Bias-corrected estimation for speculative bubbles in stock prices," Economic Modelling, Elsevier, vol. 73(C), pages 354-364.

    Cited by:

    1. Kruse, Robinson & Wegener, Christoph, 2020. "Time-varying persistence in real oil prices and its determinant," Energy Economics, Elsevier, vol. 85(C).
    2. Thomas Walther & Tony Klein & Hien Pham Thu, 2018. "Bitcoin is not the New Gold - A Comparison of Volatility, Correlation, and Portfolio Performance," Working Papers on Finance 1812, University of St. Gallen, School of Finance.
    3. Mosab I. Tabash & Ezekiel Oseni & Adel Ahmed & Yasmeen Elsantil & Linda Nalini Daniel & Adedoyin Isola Lawal, 2024. "Pathway to a Sustainable Energy Economy: Determinants of Electricity Infrastructure in Nigeria," Sustainability, MDPI, vol. 16(7), pages 1-25, April.
    4. Sigrunn H. Sørbye & Pedro G. Nicolau & Håvard Rue, 2022. "Finite-sample properties of estimators for first and second order autoregressive processes," Statistical Inference for Stochastic Processes, Springer, vol. 25(3), pages 577-598, October.

  4. Kruse Robinson & Ventosa-Santaulària Daniel & Noriega Antonio E., 2017. "Changes in persistence, spurious regressions and the Fisher hypothesis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(3), pages 1-28, June.
    See citations under working paper version above.
  5. Frömmel, Michael & Kruse, Robinson, 2015. "Interest rate convergence in the EMS prior to European Monetary Union," Journal of Policy Modeling, Elsevier, vol. 37(6), pages 990-1004.
    See citations under working paper version above.
  6. Kruse, Robinson, 2015. "A modified test against spurious long memory," Economics Letters, Elsevier, vol. 135(C), pages 34-38.

    Cited by:

    1. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    2. Robinson Kruse & Christian Leschinski & Michael Will, 2016. "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," CREATES Research Papers 2016-17, Department of Economics and Business Economics, Aarhus University.
    3. Sibbertsen, Philipp & Leschinski, Christian & Busch, Marie, 2018. "A multivariate test against spurious long memory," Journal of Econometrics, Elsevier, vol. 203(1), pages 33-49.

  7. Jörg Breitung & Robinson Kruse, 2013. "When bubbles burst: econometric tests based on structural breaks," Statistical Papers, Springer, vol. 54(4), pages 911-930, November.

    Cited by:

    1. Taisei KAIZOJI & Matthias LEISS & Alexander I. SAICHEV & Didier SORNETTE, 2015. "Super-Exponential Endogenous Bubbles in an Equilibrium Model of Fundamentalist and Chartist Traders," Swiss Finance Institute Research Paper Series 15-07, Swiss Finance Institute.
    2. Tobias Basse & Robinson Kruse & Christoph Wegener, 2017. "The Walking Debt Crisis," CREATES Research Papers 2017-06, Department of Economics and Business Economics, Aarhus University.
    3. Esteve Vicente & Prats Maria A., 2021. "Structural Breaks and Explosive Behavior in the Long-Run: The Case of Australian Real House Prices, 1870–2020," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 15(1), pages 72-84, January.
    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. H. Peter Boswijk & Jun Yu & Yang Zu, 2024. "Testing for an Explosive Bubble using High-Frequency Volatility," Papers 2405.02087, arXiv.org.
    6. Pascal Frank & Markus Rudolf, 2024. "Is the Metaverse Dead? Insights from Financial Bubble Analysis," FinTech, MDPI, vol. 3(2), pages 1-22, May.
    7. Moreira, Afonso M. & Martins, Luis F., 2020. "A new mechanism for anticipating price exuberance," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 199-221.
    8. Kruse, Yves Robinson & Kaufmann, Hendrik, 2015. "Bias-corrected estimation in mildly explosive autoregressions," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112897, Verein für Socialpolitik / German Economic Association.
    9. Kruse, Robinson & Kaufmann, Hendrik & Wegener, Christoph, 2018. "Bias-corrected estimation for speculative bubbles in stock prices," Economic Modelling, Elsevier, vol. 73(C), pages 354-364.
    10. Hendrik Kaufmannz & Robinson Kruse, 2013. "Bias-corrected estimation in potentially mildly explosive autoregressive models," CREATES Research Papers 2013-10, Department of Economics and Business Economics, Aarhus University.
    11. Vicente Esteve & María A. Prats, 2021. "Testing for rational bubbles in Australian housing market from a long-term perspective," Working Papers 2113, Department of Applied Economics II, Universidad de Valencia.
    12. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    13. Harvey, David I. & Leybourne, Stephen J. & Sollis, Robert, 2017. "Improving the accuracy of asset price bubble start and end date estimators," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 121-138.
    14. Franses, Philip Hans, 2016. "A simple test for a bubble based on growth and acceleration," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 160-169.
    15. Skrobotov Anton, 2023. "Testing for explosive bubbles: a review," Dependence Modeling, De Gruyter, vol. 11(1), pages 1-26, January.
    16. Anton Skrobotov, 2022. "Testing for explosive bubbles: a review," Papers 2207.08249, arXiv.org.
    17. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2016. "Non-linearities in financial bubbles: Theory and Bayesian evidence from S&P500," Journal of Financial Stability, Elsevier, vol. 24(C), pages 61-70.
    18. Riza Demirer & Guilherme Demos & Rangan Gupta & Didier Sornette, 2017. "On the Predictability of Stock Market Bubbles: Evidence from LPPLS ConfidenceTM Multi-scale Indicators," Working Papers 201752, University of Pretoria, Department of Economics.

  8. Philip Bertram & Robinson Kruse & Philipp Sibbertsen, 2013. "Fractional integration versus level shifts: the case of realized asset correlations," Statistical Papers, Springer, vol. 54(4), pages 977-991, November.

    Cited by:

    1. Gabriel Rodríguez & Dennis Alvaro & Ángel Guillén, 2016. "Modelling the Volatility of Commodities Prices using a Stochastic Volatility Model with Random Level Shifts," Documentos de Trabajo / Working Papers 2016-414, Departamento de Economía - Pontificia Universidad Católica del Perú.
    2. Becker, Janis & Leschinski, Christian & Sibbertsen, Philipp, 2019. "Robust Multivariate Local Whittle Estimation and Spurious Fractional Cointegration," Hannover Economic Papers (HEP) dp-660, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    3. Audrino, Francesco & Camponovo, Lorenzo & Roth, Constantin, 2015. "Testing the lag structure of assets’ realized volatility dynamics," Economics Working Paper Series 1501, University of St. Gallen, School of Economics and Political Science.
    4. Jan Beran & Yuanhua Feng & Sucharita Ghosh, 2015. "Modelling long-range dependence and trends in duration series: an approach based on EFARIMA and ESEMIFAR models," Statistical Papers, Springer, vol. 56(2), pages 431-451, May.
    5. Lihong Wang, 2020. "Nearest neighbors estimation for long memory functional data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(4), pages 709-725, December.
    6. Vasyl Golosnoy, 2018. "Sequential monitoring of portfolio betas," Statistical Papers, Springer, vol. 59(2), pages 663-684, June.
    7. Lihong Wang, 2020. "Lack of fit test for long memory regression models," Statistical Papers, Springer, vol. 61(3), pages 1043-1067, June.

  9. Matei Demetrescu & Robinson Kruse, 2013. "The power of unit root tests against nonlinear local alternatives," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(1), pages 40-61, January.
    See citations under working paper version above.
  10. 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.
    See citations under working paper version above.
  11. Michael Frömmel & Robinson Kruse, 2012. "Testing for a rational bubble under long memory," Quantitative Finance, Taylor & Francis Journals, vol. 12(11), pages 1723-1732, November.
    See citations under working paper version above.
  12. Kruse, Robinson & Sibbertsen, Philipp, 2012. "Long memory and changing persistence," Economics Letters, Elsevier, vol. 114(3), pages 268-272.
    See citations under working paper version above.
  13. Robinson Kruse, 2011. "A new unit root test against ESTAR based on a class of modified statistics," Statistical Papers, Springer, vol. 52(1), pages 71-85, February.
    See citations under working paper version above.
  14. Philipp Sibbertsen & Robinson Kruse, 2009. "Testing for a break in persistence under long‐range dependencies," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(3), pages 263-285, May.
    See citations under working paper version above.

Chapters

  1. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2013. "Unit roots, non-linearities and structural breaks," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 4, pages 61-94, Edward Elgar Publishing.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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