IDEAS home Printed from https://ideas.repec.org/e/pwi156.html
   My authors  Follow this author

Bernd Wilfling

Personal Details

First Name:Bernd
Middle Name:
Last Name:Wilfling
Suffix:
RePEc Short-ID:pwi156
http://www.wiwi.uni-muenster.de/statistik/organisation/wilfling/index.html

Affiliation

(50%) Westfälische Wilhelms-Universität, Department of Economics, Am Stadtgraben 9, 48143 Münster, Germany

http://www1.wiwi.uni-muenster.de/fakultaet/
Germany, Münster

(50%) Center for Quantitative Economics (CQE)
Wirtschaftswissenschaftliche Fakultät
Westfälische Wilhelms-Universität Münster

Münster, Germany
http://www1.wiwi.uni-muenster.de/cqe/

: +49(0)215 83-25044
+49(0)251 83-25042
Am Stadtgraben 9, 48143 Münster
RePEc:edi:cqmuede (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Mawuli Segnon & Stelios Bekiros & Bernd Wilfling, 2018. "Forecasting Inflation Uncertainty in the G7 Countries," CQE Working Papers 7118, Center for Quantitative Economics (CQE), University of Muenster.
  2. Till Weigt & Bernd Wilfling, 2018. "An approach to increasing forecast-combination accuracy through VAR error modeling," CQE Working Papers 6818, Center for Quantitative Economics (CQE), University of Muenster.
  3. Martina Danielova Zaharieva & Mark Trede & Bernd Wilfling, 2017. "Bayesian semiparametric multivariate stochastic volatility with an application to international volatility co-movements," CQE Working Papers 6217, Center for Quantitative Economics (CQE), University of Muenster.
  4. Benedikt Rotermann & Bernd Wilfling, 2017. "A new stock-price bubble with stochastically deflating trajectories," CQE Working Papers 5817, Center for Quantitative Economics (CQE), University of Muenster.
  5. Mawuli Segnon & Chi Keung Lau & Bernd Wilfling & Rangan Gupta, 2017. "Are multifractal processes suited to forecasting electricity price volatility? Evidence from Australian intraday data," CQE Working Papers 6117, Center for Quantitative Economics (CQE), University of Muenster.
  6. Till Weigt & Bernd Wilfling, 2016. "A new combination approach to reducing forecast errors with an application to volatility forecasting," CQE Working Papers 4616, Center for Quantitative Economics (CQE), University of Muenster.
  7. Martin T. Bohl & Gerrit Reher & Bernd Wilfling, 2016. "Short selling constraints and stock returns volatility: empirical evidence from the German stock market," CQE Working Papers 4516, Center for Quantitative Economics (CQE), University of Muenster.
  8. Benedikt Rotermann & Bernd Wilfling, 2015. "Estimating rational stock-market bubbles with sequential Monte Carlo methods," CQE Working Papers 4015, Center for Quantitative Economics (CQE), University of Muenster.
  9. Martin T. Bohl & Jeanne Diesteldorf & Christian A. Salm & Bernd Wilfling, 2014. "Spot Market Volatility and Futures Trading: The Pitfalls of Using a Dummy Variable Approach," CQE Working Papers 3514, Center for Quantitative Economics (CQE), University of Muenster.
  10. Benedikt Rotermann & Bernd Wilfling, 2013. "Periodically collapsing Evans bubbles and stock-price volatility," CQE Working Papers 2813, Center for Quantitative Economics (CQE), University of Muenster.
  11. Marc Lammerding & Patrick Stephan & Mark Trede & Bernd Wilfling, 2012. "Speculative bubbles in recent oil price dynamics: Evidence from a Bayesian Markov-switching state-space approach," CQE Working Papers 2312, Center for Quantitative Economics (CQE), University of Muenster.
  12. Max Meulemann & Martin Uebele & Bernd Wilfling, 2011. "The Restoration of the Gold Standard after the US Civil War: A Volatility Analysis," CQE Working Papers 2011, Center for Quantitative Economics (CQE), University of Muenster.
  13. Gerrit Reher & Bernd Wilfling, 2011. "Markov-switching GARCH models in finance: a unifying framework with an application to the German stock market," CQE Working Papers 1711, Center for Quantitative Economics (CQE), University of Muenster.
  14. Gerrit Reher & Bernd Wilfling, 2010. "An exact pricing formula for European call options on zero-coupon bonds in the run-up to a currency union," CQE Working Papers 1010, Center for Quantitative Economics (CQE), University of Muenster.
  15. Nael Al-Anaswah & Bernd Wilfling, 2009. "Identification of speculative bubbles using state-space models with Markov-switching," CQE Working Papers 0309, Center for Quantitative Economics (CQE), University of Muenster.
  16. Martin T. Bohl & Christian A. Salm & Bernd Wilfling, 2009. "Do Individual Index Futures Investors Destabilize the Underlying Spot Market?," CQE Working Papers 0609, Center for Quantitative Economics (CQE), University of Muenster.
  17. Wilfling, Bernd & Trede, Mark, 2004. "Estimating Exchange Rate Dynamics with Diffusion Processes : An Application to Greek EMU Data," HWWA Discussion Papers 267, Hamburg Institute of International Economics (HWWA).
  18. Antzoulatos, Angelos A. & Wilfling, Bernd, 2003. "Exchange and Interest Rates prior to EMU: The Case of Greece," HWWA Discussion Papers 244, Hamburg Institute of International Economics (HWWA).
  19. Antzoulatos, Angelos A. & Wilfling, Bernd, 2003. "Non-Linear Dynamics and Predictable Forecast Errors: An Application to the OECD Forecasts for Germany," HWWA Discussion Papers 223, Hamburg Institute of International Economics (HWWA).
  20. Wilfling, Bernd, 2001. "Interest rate volatility prior to monetary union under alternative pre-switch regimes," HWWA Discussion Papers 143, Hamburg Institute of International Economics (HWWA).
  21. Wilfling, Bernd, 2001. "Since when have FOREX markets incorporated EMU into currency pricing? Evidence from four exchange rate series," HWWA Discussion Papers 118, Hamburg Institute of International Economics (HWWA).
  22. Wilfling, Bernd, 2001. "The convergence of international interest rates prior to Monetary Union," HWWA Discussion Papers 127, Hamburg Institute of International Economics (HWWA).

Articles

  1. Bohl, Martin T. & Reher, Gerrit & Wilfling, Bernd, 2016. "Short selling constraints and stock returns volatility: Empirical evidence from the German stock market," Economic Modelling, Elsevier, vol. 58(C), pages 159-166.
  2. Martin T. Bohl & Jeanne Diesteldorf & Christian A. Salm & Bernd Wilfling, 2016. "Spot Market Volatility and Futures Trading: The Pitfalls of Using a Dummy Variable Approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(1), pages 30-45, January.
  3. Gerrit Reher & Bernd Wilfling, 2016. "A nesting framework for Markov-switching GARCH modelling with an application to the German stock market," Quantitative Finance, Taylor & Francis Journals, vol. 16(3), pages 411-426, March.
  4. Reher, Gerrit & Wilfling, Bernd, 2014. "The valuation of European call options on zero-coupon bonds in the run-up to a fixed exchange-rate regime," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 483-496.
  5. Meulemann, Max & Uebele, Martin & Wilfling, Bernd, 2014. "The restoration of the gold standard after the US Civil War: A volatility analysis," Journal of Financial Stability, Elsevier, vol. 12(C), pages 37-46.
  6. Rotermann, Benedikt & Wilfling, Bernd, 2014. "Periodically collapsing Evans bubbles and stock-price volatility," Economics Letters, Elsevier, vol. 123(3), pages 383-386.
  7. Lammerding, Marc & Stephan, Patrick & Trede, Mark & Wilfling, Bernd, 2013. "Speculative bubbles in recent oil price dynamics: Evidence from a Bayesian Markov-switching state-space approach," Energy Economics, Elsevier, vol. 36(C), pages 491-502.
  8. David Sondermann & Mark Trede & Bernd Wilfling, 2011. "Estimating the degree of interventionist policies in the run-up to EMU," Applied Economics, Taylor & Francis Journals, vol. 43(2), pages 207-218.
  9. Martin T. Bohl & Christian A. Salm & Bernd Wilfling, 2011. "Do individual index futures investors destabilize the underlying spot market?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(1), pages 81-101, January.
  10. 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.
  11. Gelman, Sergey & Wilfling, Bernd, 2009. "Markov-switching in target stocks during takeover bids," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 745-758, December.
  12. Wilfling, Bernd, 2009. "Volatility regime-switching in European exchange rates prior to monetary unification," Journal of International Money and Finance, Elsevier, vol. 28(2), pages 240-270, March.
  13. Bohl, Martin T. & Brzeszczynski, Janusz & Wilfling, Bernd, 2009. "Institutional investors and stock returns volatility: Empirical evidence from a natural experiment," Journal of Financial Stability, Elsevier, vol. 5(2), pages 170-182, June.
  14. Mark Trede & Bernd Wilfling, 2007. "Estimating exchange rate dynamics with diffusion processes: an application to Greek EMU data," Empirical Economics, Springer, vol. 33(1), pages 23-39, July.
  15. Bernd Wilfling, 2003. "Interest Rate Volatility Prior to Monetary Union under Alternative Pre-Switch Regimes," German Economic Review, Verein für Socialpolitik, vol. 4, pages 433-457, November.
  16. Wilfling, Bernd & Maennig, Wolfgang, 2001. "Exchange rate dynamics in anticipation of time-contingent regime switching: modelling the effects of a possible delay," Journal of International Money and Finance, Elsevier, vol. 20(1), pages 91-113, February.
  17. Wilfling Bernd, 1999. "Wechselkursdynamik im Vorfeld einer Währungsunion / Exchange Rate Dynamics Prior to Monetary Union," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 218(1-2), pages 23-44, February.
  18. Wilfling, Bernd, 1996. "Lorenz ordering of generalized beta-II income distributions," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 381-388.
  19. Wilfling, Bernd, 1996. "Lorenz ordering of power-function order statistics," Statistics & Probability Letters, Elsevier, vol. 30(4), pages 313-319, November.
  20. Wilfling, Bernd & Kramer, Walter, 1993. "The Lorenz-ordering of Singh-Maddala income distributions," Economics Letters, Elsevier, vol. 43(1), pages 53-57.

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. Martin T. Bohl & Jeanne Diesteldorf & Christian A. Salm & Bernd Wilfling, 2014. "Spot Market Volatility and Futures Trading: The Pitfalls of Using a Dummy Variable Approach," CQE Working Papers 3514, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Bohl, Martin T. & Reher, Gerrit & Wilfling, Bernd, 2016. "Short selling constraints and stock returns volatility: Empirical evidence from the German stock market," Economic Modelling, Elsevier, vol. 58(C), pages 159-166.
    2. Zhiwei Shen & Matthias Ritter, 2015. "Forecasting volatility of wind power production," SFB 649 Discussion Papers SFB649DP2015-026, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

  2. Benedikt Rotermann & Bernd Wilfling, 2013. "Periodically collapsing Evans bubbles and stock-price volatility," CQE Working Papers 2813, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Gilles Truchis & Benjamin Keddad, 2016. "On the risk comovements between the crude oil market and U.S. dollar exchange rates," Post-Print hal-01447859, HAL.
    2. Benedikt Rotermann & Bernd Wilfling, 2017. "A new stock-price bubble with stochastically deflating trajectories," CQE Working Papers 5817, Center for Quantitative Economics (CQE), University of Muenster.

  3. Marc Lammerding & Patrick Stephan & Mark Trede & Bernd Wilfling, 2012. "Speculative bubbles in recent oil price dynamics: Evidence from a Bayesian Markov-switching state-space approach," CQE Working Papers 2312, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Su, Chi-Wei & Wang, Kai-Hua & Chang, Hsu-Ling & Dumitrescu–Peculea, Adelina, 2017. "Do iron ore price bubbles occur?," Resources Policy, Elsevier, vol. 53(C), pages 340-346.
    2. Tsvetanov, Daniel & Coakley, Jerry & Kellard, Neil, 2016. "Bubbling over! The behaviour of oil futures along the yield curve," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 516-533.
    3. Mehmet Balcilar & Nico Katzke & Rangan Gupta, 2015. "Identifying Periods of US Housing Market Explosivity," Working Papers 201544, University of Pretoria, Department of Economics.
    4. Sofiane Aboura & Julien Chevallier, 2016. "Spikes and crashes in the oil market," Post-Print halshs-01348711, HAL.
    5. Itamar Caspi & Nico Katzke & Rangan Gupta, 2014. "Date Stamping Historical Oil Price Bubbles: 1876-2014," Working Papers 201445, University of Pretoria, Department of Economics.
    6. Ekaterini Panopoulou & Theologos Pantelidis, 2014. "Speculative behaviour and oil price predictability," Discussion Paper Series 2014_09, Department of Economics, University of Macedonia, revised Dec 2014.
    7. 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.
    8. Almansour, Abdullah, 2016. "Convenience yield in commodity price modeling: A regime switching approach," Energy Economics, Elsevier, vol. 53(C), pages 238-247.
    9. Fantazzini, Dean, 2016. "The oil price crash in 2014/15: Was there a (negative) financial bubble?," Energy Policy, Elsevier, vol. 96(C), pages 383-396.
    10. Chiarucci, Riccardo & Loffredo, Maria I. & Ruzzenenti, Franco, 2017. "Evidences for a structural change in the oil market before a financial crisis: The flat horizon effect," Research in International Business and Finance, Elsevier, vol. 42(C), pages 912-921.
    11. Kuosmanen, Petri & Nabulsi, Nasib & Vataja, Juuso, 2015. "Financial variables and economic activity in the Nordic countries," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 368-379.
    12. Gilles Truchis & Benjamin Keddad, 2016. "On the risk comovements between the crude oil market and U.S. dollar exchange rates," Post-Print hal-01447859, HAL.
    13. Ghassan, Hassan Belkacem & AlHajhoj, Hassan Rafdan, 2016. "Long run dynamic volatilities between OPEC and non-OPEC crude oil prices," Applied Energy, Elsevier, vol. 169(C), pages 384-394.
    14. Mehmet Balcilar & Rangan Gupta & Charl Jooste & Omid Ranjbar, 2015. "Characterising the South African Business Cycle: Is GDP Difference-Stationary or Trend-Stationary in a Markov-Switching Setup?," Working Papers 201529, University of Pretoria, Department of Economics.
    15. Bettendorf, Timo & Chen, Wenjuan, 2013. "Are there bubbles in the Sterling-dollar exchange rate? New evidence from sequential ADF tests," Economics Letters, Elsevier, vol. 120(2), pages 350-353.
    16. Yue-Jun Zhang & Ting Yao & Zi-Yi Wang, 2015. "The bubble process of international crude oil futures prices: empirical evidence from the STAR model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 109-125.
    17. 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.
    18. Sharma, Shahil & Escobari, Diego, 2017. "Identifying Price Bubble Periods in the Energy Sector," MPRA Paper 83355, University Library of Munich, Germany.
    19. Balcilar, Mehmet & Katzke, Nico & Gupta, Rangan, 2017. "Date-stamping US housing market explosivity," Economics Discussion Papers 2017-44, Kiel Institute for the World Economy (IfW).
    20. Chul-Yong Lee & Sung-Yoon Huh, 2017. "Forecasting Long-Term Crude Oil Prices Using a Bayesian Model with Informative Priors," Sustainability, MDPI, Open Access Journal, vol. 9(2), pages 1-15, January.
    21. Beckmann, Joscha & Czudaj, Robert, 2013. "Is there a homogeneous causality pattern between oil prices and currencies of oil importers and exporters?," Energy Economics, Elsevier, vol. 40(C), pages 665-678.
    22. Karagiannis, Stelios & Panagopoulos, Yannis & Vlamis, Prodromos, 2015. "Are unleaded gasoline and diesel price adjustments symmetric? A comparison of the four largest EU retail fuel markets," Economic Modelling, Elsevier, vol. 48(C), pages 281-291.
    23. Chen, Mei-Ping & Lin, Yu-Hui & Tseng, Chun-Yao & Chen, Wen-Yi, 2015. "Bubbles in health care: Evidence from the U.S., U.K., and German stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 193-205.
    24. Kyrtsou, Catherine & Mikropoulou, Christina & Papana, Angeliki, 2016. "Does the S&P500 index lead the crude oil dynamics? A complexity-based approach," Energy Economics, Elsevier, vol. 56(C), pages 239-246.
    25. Zhiwei Shen & Matthias Ritter, 2015. "Forecasting volatility of wind power production," SFB 649 Discussion Papers SFB649DP2015-026, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    26. Zhang, Yue-Jun & Wang, Jing, 2015. "Exploring the WTI crude oil price bubble process using the Markov regime switching model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 377-387.
    27. Benedikt Rotermann & Bernd Wilfling, 2015. "Estimating rational stock-market bubbles with sequential Monte Carlo methods," CQE Working Papers 4015, Center for Quantitative Economics (CQE), University of Muenster.
    28. Holtemöller Oliver, 2013. "Explosive Preisentwicklung und spekulative Blasen auf Rohstoffmärkten / Explosive behavior and speculative bubbles on commodity markets," ORDO. Jahrbuch für die Ordnung von Wirtschaft und Gesellschaft, De Gruyter, vol. 64(1), pages 405-420, January.
    29. Kaizoji, Taisei & Leiss, Matthias & Saichev, Alexander & Sornette, Didier, 2015. "Super-exponential endogenous bubbles in an equilibrium model of fundamentalist and chartist traders," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 289-310.
    30. Wirl, Franz, 2015. "Output adjusting cartels facing dynamic, convex demand under uncertainty: The case of OPEC," Economic Modelling, Elsevier, vol. 44(C), pages 307-316.
    31. Ehsan Ahmed & J. Rosser & Jamshed Uppal, 2014. "Are there nonlinear speculative bubbles in commodities prices?," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(3), pages 415-438.

  4. Gerrit Reher & Bernd Wilfling, 2011. "Markov-switching GARCH models in finance: a unifying framework with an application to the German stock market," CQE Working Papers 1711, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Zieling, Daniel & Mahayni, Antje & Balder, Sven, 2014. "Performance evaluation of optimized portfolio insurance strategies," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 212-225.

  5. Nael Al-Anaswah & Bernd Wilfling, 2009. "Identification of speculative bubbles using state-space models with Markov-switching," CQE Working Papers 0309, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Carol Thiago Costa & Wesley Vieirada Silva & Lauro Britode Almeida & Claudimar Pereirada Veiga, 2017. "Empirical evidence of the existence of speculative bubbles in the prices of stocks traded on the São Paulo Stock Exchange," Contaduría y Administración, Accounting and Management, vol. 62(4), pages 1317-1334, Octubre-D.
    2. Füss, Roland & Zietz, Joachim, 2016. "The economic drivers of differences in house price inflation rates across MSAs," Journal of Housing Economics, Elsevier, vol. 31(C), pages 35-53.
    3. Mehmet Balcilar & Nico Katzke & Rangan Gupta, 2015. "Identifying Periods of US Housing Market Explosivity," Working Papers 201544, University of Pretoria, Department of Economics.
    4. 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.
    5. 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.
    6. Lammerding, Marc & Stephan, Patrick & Trede, Mark & Wilfling, Bernd, 2013. "Speculative bubbles in recent oil price dynamics: Evidence from a Bayesian Markov-switching state-space approach," Energy Economics, Elsevier, vol. 36(C), pages 491-502.
    7. Hainaut, Donatien, 2014. "Impulse control of pension fund contributions, in a regime switching economy," European Journal of Operational Research, Elsevier, vol. 239(3), pages 810-819.
    8. Mehmet Balcilar & Rangan Gupta & Charl Jooste & Omid Ranjbar, 2015. "Characterising the South African Business Cycle: Is GDP Difference-Stationary or Trend-Stationary in a Markov-Switching Setup?," Working Papers 201529, University of Pretoria, Department of Economics.
    9. Bettendorf, Timo & Chen, Wenjuan, 2013. "Are there bubbles in the Sterling-dollar exchange rate? New evidence from sequential ADF tests," Economics Letters, Elsevier, vol. 120(2), pages 350-353.
    10. Rotermann, Benedikt & Wilfling, Bernd, 2014. "Periodically collapsing Evans bubbles and stock-price volatility," Economics Letters, Elsevier, vol. 123(3), pages 383-386.
    11. 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.
    12. Ariane Szafarz, 2010. "Financial Crises in Efficient Markets: How Fundamentalists Fuel Volatility," Working Papers CEB 10-052, ULB -- Universite Libre de Bruxelles.
    13. Balcilar, Mehmet & Katzke, Nico & Gupta, Rangan, 2017. "Date-stamping US housing market explosivity," Economics Discussion Papers 2017-44, Kiel Institute for the World Economy (IfW).
    14. Zhang, Yue-Jun & Wang, Jing, 2015. "Exploring the WTI crude oil price bubble process using the Markov regime switching model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 377-387.
    15. Xie, Zixiong & Chen, Shyh-Wei, 2015. "Are there periodically collapsing bubbles in the REIT markets? New evidence from the US," Research in International Business and Finance, Elsevier, vol. 33(C), pages 17-31.
    16. Benedikt Rotermann & Bernd Wilfling, 2015. "Estimating rational stock-market bubbles with sequential Monte Carlo methods," CQE Working Papers 4015, Center for Quantitative Economics (CQE), University of Muenster.
    17. Asako, Kazumi & Liu, Zhentao, 2013. "A statistical model of speculative bubbles, with applications to the stock markets of the United States, Japan, and China," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2639-2651.
    18. Chan, Kam Fong & Treepongkaruna, Sirimon & Brooks, Robert & Gray, Stephen, 2011. "Asset market linkages: Evidence from financial, commodity and real estate assets," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1415-1426, June.
    19. 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.
    20. Rodríguez-Aguilar, Román & Cruz-Aké, Salvador & Venegas-Martínez, Francisco, 2014. "A Measure of Early Warning of Exchange-Rate Crises Based on the Hurst Coefficient and the Αlpha-Stable Parameter," MPRA Paper 59046, University Library of Munich, Germany.
    21. Kaizoji, Taisei & Leiss, Matthias & Saichev, Alexander & Sornette, Didier, 2015. "Super-exponential endogenous bubbles in an equilibrium model of fundamentalist and chartist traders," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 289-310.
    22. Chevallier, Julien, 2012. "Global imbalances, cross-market linkages, and the financial crisis: A multivariate Markov-switching analysis," Economic Modelling, Elsevier, vol. 29(3), pages 943-973.

  6. Martin T. Bohl & Christian A. Salm & Bernd Wilfling, 2009. "Do Individual Index Futures Investors Destabilize the Underlying Spot Market?," CQE Working Papers 0609, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Bohl, Martin T. & Diesteldorf, Jeanne & Siklos, Pierre L., 2015. "The effect of index futures trading on volatility: Three markets for Chinese stocks," China Economic Review, Elsevier, vol. 34(C), pages 207-224.
    2. Asche, Frank & Misund, Bard & Oglend, Atle, 2015. "The Spot-Forward Relationship in the Atlantic Salmon Market," UiS Working Papers in Economics and Finance 2015/16, University of Stavanger.
    3. Martin T. Bohl & Jeanne Diesteldorf & Christian A. Salm & Bernd Wilfling, 2014. "Spot Market Volatility and Futures Trading: The Pitfalls of Using a Dummy Variable Approach," CQE Working Papers 3514, Center for Quantitative Economics (CQE), University of Muenster.
    4. 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.
    5. Sanjay Sehgal & Mala Dutt, 2016. "Domestic and international information linkages between NSE Nifty spot and futures markets: an empirical study for India," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(3), pages 239-258, September.
    6. Chyi Lee & Simon Stevenson & Ming-Long Lee, 2014. "Futures Trading, Spot Price Volatility and Market Efficiency: Evidence from European Real Estate Securities Futures," The Journal of Real Estate Finance and Economics, Springer, vol. 48(2), pages 299-322, February.
    7. Okur, Mustafa & Cevik, Emrah Ismail, 2013. "Testing intraday volatility spillovers in Turkish capital markets: evidence from ISE," MPRA Paper 71477, University Library of Munich, Germany, revised 2013.
    8. Atilgan, Yigit & Demirtas, K. Ozgur & Simsek, Koray D., 2016. "Derivative markets in emerging economies: A survey," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 88-102.

  7. Wilfling, Bernd & Trede, Mark, 2004. "Estimating Exchange Rate Dynamics with Diffusion Processes : An Application to Greek EMU Data," HWWA Discussion Papers 267, Hamburg Institute of International Economics (HWWA).

    Cited by:

    1. Jeff Hamrick & Murad Taqqu, 2009. "Testing diffusion processes for non-stationarity," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 69(3), pages 509-551, July.
    2. Görgens, Maik & Thulin, Måns, 2014. "Bias-correction of the maximum likelihood estimator for the α-Brownian bridge," Statistics & Probability Letters, Elsevier, vol. 93(C), pages 78-86.
    3. Zhao, Shoujiang & Zhou, Yanping, 2013. "Sharp large deviations for the log-likelihood ratio of an α-Brownian bridge," Statistics & Probability Letters, Elsevier, vol. 83(12), pages 2750-2758.

  8. Antzoulatos, Angelos A. & Wilfling, Bernd, 2003. "Exchange and Interest Rates prior to EMU: The Case of Greece," HWWA Discussion Papers 244, Hamburg Institute of International Economics (HWWA).

    Cited by:

    1. Wilfling, Bernd & Trede, Mark, 2004. "Estimating Exchange Rate Dynamics with Diffusion Processes : An Application to Greek EMU Data," HWWA Discussion Papers 267, Hamburg Institute of International Economics (HWWA).

  9. Wilfling, Bernd, 2001. "Interest rate volatility prior to monetary union under alternative pre-switch regimes," HWWA Discussion Papers 143, Hamburg Institute of International Economics (HWWA).

    Cited by:

    1. Reher, Gerrit & Wilfling, Bernd, 2014. "The valuation of European call options on zero-coupon bonds in the run-up to a fixed exchange-rate regime," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 483-496.
    2. Wilfling, Bernd & Trede, Mark, 2004. "Estimating Exchange Rate Dynamics with Diffusion Processes : An Application to Greek EMU Data," HWWA Discussion Papers 267, Hamburg Institute of International Economics (HWWA).
    3. Davies, Laurie & Höhenrieder, Christian & Krämer, Walter, 2012. "Recursive computation of piecewise constant volatilities," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3623-3631.

Articles

  1. Martin T. Bohl & Jeanne Diesteldorf & Christian A. Salm & Bernd Wilfling, 2016. "Spot Market Volatility and Futures Trading: The Pitfalls of Using a Dummy Variable Approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(1), pages 30-45, January.
    See citations under working paper version above.
  2. Gerrit Reher & Bernd Wilfling, 2016. "A nesting framework for Markov-switching GARCH modelling with an application to the German stock market," Quantitative Finance, Taylor & Francis Journals, vol. 16(3), pages 411-426, March.

    Cited by:

    1. Mawuli Segnon & Chi Keung Lau & Bernd Wilfling & Rangan Gupta, 2017. "Are multifractal processes suited to forecasting electricity price volatility? Evidence from Australian intraday data," CQE Working Papers 6117, Center for Quantitative Economics (CQE), University of Muenster.
    2. Bohl, Martin T. & Reher, Gerrit & Wilfling, Bernd, 2016. "Short selling constraints and stock returns volatility: Empirical evidence from the German stock market," Economic Modelling, Elsevier, vol. 58(C), pages 159-166.

  3. Rotermann, Benedikt & Wilfling, Bernd, 2014. "Periodically collapsing Evans bubbles and stock-price volatility," Economics Letters, Elsevier, vol. 123(3), pages 383-386.
    See citations under working paper version above.
  4. Lammerding, Marc & Stephan, Patrick & Trede, Mark & Wilfling, Bernd, 2013. "Speculative bubbles in recent oil price dynamics: Evidence from a Bayesian Markov-switching state-space approach," Energy Economics, Elsevier, vol. 36(C), pages 491-502.
    See citations under working paper version above.
  5. David Sondermann & Mark Trede & Bernd Wilfling, 2011. "Estimating the degree of interventionist policies in the run-up to EMU," Applied Economics, Taylor & Francis Journals, vol. 43(2), pages 207-218.

    Cited by:

    1. Reher, Gerrit & Wilfling, Bernd, 2014. "The valuation of European call options on zero-coupon bonds in the run-up to a fixed exchange-rate regime," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 483-496.
    2. Gerrit Reher & Bernd Wilfling, 2010. "An exact pricing formula for European call options on zero-coupon bonds in the run-up to a currency union," CQE Working Papers 1010, Center for Quantitative Economics (CQE), University of Muenster.
    3. Görgens, Maik & Thulin, Måns, 2014. "Bias-correction of the maximum likelihood estimator for the α-Brownian bridge," Statistics & Probability Letters, Elsevier, vol. 93(C), pages 78-86.
    4. Naszodi, Anna, 2011. "Exchange rate dynamics under state-contingent stochastic process switching," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 896-908, September.

  6. Martin T. Bohl & Christian A. Salm & Bernd Wilfling, 2011. "Do individual index futures investors destabilize the underlying spot market?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(1), pages 81-101, January.
    See citations under working paper version above.
  7. 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.
    See citations under working paper version above.
  8. Gelman, Sergey & Wilfling, Bernd, 2009. "Markov-switching in target stocks during takeover bids," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 745-758, December.

    Cited by:

    1. Luca De Angelis & Leonard J. Paas, 2013. "A dynamic analysis of stock markets using a hidden Markov model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(8), pages 1682-1700, August.
    2. Lien Duong, 2013. "Aggregate Australian Takeovers: A Review of Markov Regime Switching Models," International Review of Finance, International Review of Finance Ltd., vol. 13(4), pages 529-558, December.
    3. Meulemann, Max & Uebele, Martin & Wilfling, Bernd, 2014. "The restoration of the gold standard after the US Civil War: A volatility analysis," Journal of Financial Stability, Elsevier, vol. 12(C), pages 37-46.
    4. Chunming Yuan, 2008. "Forecasting Exchange Rates: The Multi-State Markov-Switching Model with Smoothing," UMBC Economics Department Working Papers 09-115, UMBC Department of Economics, revised 01 Nov 2009.
    5. 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.
    6. Carroll, Rachael & Kearney, Colm, 2015. "Testing the mixture of distributions hypothesis on target stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 1-14.

  9. Wilfling, Bernd, 2009. "Volatility regime-switching in European exchange rates prior to monetary unification," Journal of International Money and Finance, Elsevier, vol. 28(2), pages 240-270, March.

    Cited by:

    1. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
    2. Frömmel, Michael, 2006. "Volatility Regimes in Central and Eastern European Countries' Exchange Rates," Hannover Economic Papers (HEP) dp-333, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    3. Shi, Yanlin & Ho, Kin-Yip, 2015. "Modeling high-frequency volatility with three-state FIGARCH models," Economic Modelling, Elsevier, vol. 51(C), pages 473-483.
    4. Bohl, Martin T. & Reher, Gerrit & Wilfling, Bernd, 2016. "Short selling constraints and stock returns volatility: Empirical evidence from the German stock market," Economic Modelling, Elsevier, vol. 58(C), pages 159-166.
    5. Meulemann, Max & Uebele, Martin & Wilfling, Bernd, 2014. "The restoration of the gold standard after the US Civil War: A volatility analysis," Journal of Financial Stability, Elsevier, vol. 12(C), pages 37-46.
    6. José Dias & Sofia Ramos, 2014. "The aftermath of the subprime crisis: a clustering analysis of world banking sector," Review of Quantitative Finance and Accounting, Springer, vol. 42(2), pages 293-308, February.
    7. Dias, José G. & Ramos, Sofia B., 2013. "A core–periphery framework in stock markets of the euro zone," Economic Modelling, Elsevier, vol. 35(C), pages 320-329.
    8. Dias, José G. & Vermunt, Jeroen K. & Ramos, Sofia, 2015. "Clustering financial time series: New insights from an extended hidden Markov model," European Journal of Operational Research, Elsevier, vol. 243(3), pages 852-864.
    9. Jeff Fleming & Chris Kirby, 2013. "Component-Driven Regime-Switching Volatility," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 11(2), pages 263-301, March.
    10. Chunming Yuan, 2008. "Forecasting Exchange Rates: The Multi-State Markov-Switching Model with Smoothing," UMBC Economics Department Working Papers 09-115, UMBC Department of Economics, revised 01 Nov 2009.
    11. Syllignakis, Manolis N. & Kouretas, Georgios P., 2011. "Markov-switching regimes and the monetary model of exchange rate determination: Evidence from the Central and Eastern European markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(5), pages 707-723.
    12. Sandun Perera & Winston Buckley & Hongwei Long, 2018. "Market-reaction-adjusted optimal central bank intervention policy in a forex market with jumps," Annals of Operations Research, Springer, vol. 262(1), pages 213-238, March.
    13. Grossmann, Axel & Orlov, Alexei G., 2012. "Exchange rate misalignments in frequency domain," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 185-199.
    14. BenSaïda, Ahmed, 2015. "The frequency of regime switching in financial market volatility," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 63-79.

  10. Bohl, Martin T. & Brzeszczynski, Janusz & Wilfling, Bernd, 2009. "Institutional investors and stock returns volatility: Empirical evidence from a natural experiment," Journal of Financial Stability, Elsevier, vol. 5(2), pages 170-182, June.

    Cited by:

    1. Eduardo Roca & Victor Wong, 2008. "An analysis of the sensitivity of Australian superannuation funds to market movements: a Markov regime switching approach," Applied Financial Economics, Taylor & Francis Journals, vol. 18(7), pages 583-597.
    2. Asche, Frank & Misund, Bard & Oglend, Atle, 2015. "The Spot-Forward Relationship in the Atlantic Salmon Market," UiS Working Papers in Economics and Finance 2015/16, University of Stavanger.
    3. Massimo Guidolin & Federica Ria, 2010. "Regime shifts in mean-variance efficient frontiers: some international evidence," Working Papers 2010-040, Federal Reserve Bank of St. Louis.
    4. Jesus Ancizar Gomez Daza & Luis Ferruz Agudo, 2016. "Are pension funds determinants of financial market stability? A dynamic analysis of OECD countries," Working Papers 20, Faculty of Economics and Management, Pontificia Universidad Javeriana Cali.
    5. Chakraborty, Sandip & Kakani, Ram Kumar, 2016. "Institutional investment, equity volume and volatility spillover: Causalities and asymmetries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 1-20.
    6. Vo, Xuan Vinh, 2016. "Does institutional ownership increase stock return volatility? Evidence from Vietnam," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 54-61.
    7. Janusz Brzeszczynski & Martin T. Bohl & Dobromił Serwa, 2012. "Large capital inflows and stock returns in a thin market," NBP Working Papers 120, Narodowy Bank Polski, Economic Research Department.
    8. Brzeszczyński, Janusz & Gajdka, Jerzy & Kutan, Ali M., 2015. "Investor response to public news, sentiment and institutional trading in emerging markets: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 338-352.
    9. Qureshi, Fiza & Kutan, Ali M. & Ismail, Izlin & Gee, Chan Sok, 2017. "Mutual funds and stock market volatility: An empirical analysis of Asian emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 176-192.
    10. Robert Hull & Sungkyu Kwak & Rosemary Walker, 2014. "Hedge fund attributes and volatility around equity offerings," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(3), pages 359-382, July.
    11. Thomas, Ashok & Spataro, Luca & Mathew, Nanditha, 2014. "Pension funds and stock market volatility: An empirical analysis of OECD countries," Journal of Financial Stability, Elsevier, vol. 11(C), pages 92-103.

  11. Mark Trede & Bernd Wilfling, 2007. "Estimating exchange rate dynamics with diffusion processes: an application to Greek EMU data," Empirical Economics, Springer, vol. 33(1), pages 23-39, July.
    See citations under working paper version above.
  12. Bernd Wilfling, 2003. "Interest Rate Volatility Prior to Monetary Union under Alternative Pre-Switch Regimes," German Economic Review, Verein für Socialpolitik, vol. 4, pages 433-457, November.
    See citations under working paper version above.
  13. Wilfling, Bernd & Maennig, Wolfgang, 2001. "Exchange rate dynamics in anticipation of time-contingent regime switching: modelling the effects of a possible delay," Journal of International Money and Finance, Elsevier, vol. 20(1), pages 91-113, February.

    Cited by:

    1. Guglielmo Maria Caporale & Luca Onorante & Paolo Paesani, 2009. "Inflation and Inflation Uncertainty in the Euro Area," CESifo Working Paper Series 2720, CESifo Group Munich.
    2. Gelman, Sergey & Wilfling, Bernd, 2009. "Markov-switching in target stocks during takeover bids," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 745-758, December.
    3. Shi, Yanlin & Ho, Kin-Yip, 2015. "Modeling high-frequency volatility with three-state FIGARCH models," Economic Modelling, Elsevier, vol. 51(C), pages 473-483.
    4. Reher, Gerrit & Wilfling, Bernd, 2014. "The valuation of European call options on zero-coupon bonds in the run-up to a fixed exchange-rate regime," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 483-496.
    5. Anna Naszódi, 2008. "Are the exchange rates of EMU candidate countries anchored by their expected euro locking rates?," MNB Working Papers 2008/1, Magyar Nemzeti Bank (Central Bank of Hungary).
    6. Wilfling, Bernd, 2009. "Volatility regime-switching in European exchange rates prior to monetary unification," Journal of International Money and Finance, Elsevier, vol. 28(2), pages 240-270, March.
    7. Jürgen von Hagen & Iulia Traistaru-Siedschlag, 2006. "Macroeconomic Adjustment in the New EU Member States," SUERF Studies, SUERF - The European Money and Finance Forum, number 2006/4 edited by Morten Balling, March.
    8. Bernd Wilfling, 2003. "Interest Rate Volatility Prior to Monetary Union under Alternative Pre-Switch Regimes," German Economic Review, Verein für Socialpolitik, vol. 4, pages 433-457, November.
    9. Mohamed Saidane & Christian Lavergne, 2009. "Optimal Prediction with Conditionally Heteroskedastic Factor Analysed Hidden Markov Models," Computational Economics, Springer;Society for Computational Economics, vol. 34(4), pages 323-364, November.
    10. Guglielmo Maria Caporale & Alexandros Kontonikas, 2006. "The Euro And Inflation Uncertainty In The European Monetary Union," Economics and Finance Discussion Papers 06-01, Economics and Finance Section, School of Social Sciences, Brunel University.
    11. Meulemann, Max & Uebele, Martin & Wilfling, Bernd, 2014. "The restoration of the gold standard after the US Civil War: A volatility analysis," Journal of Financial Stability, Elsevier, vol. 12(C), pages 37-46.
    12. Rehab OSMAN, "undated". "SADC EPAs with the EU: the Right or a Blight Way for Development," EcoMod2010 259600127, EcoMod.
    13. Syllignakis, Manolis N. & Kouretas, Georgios P., 2011. "Markov-switching regimes and the monetary model of exchange rate determination: Evidence from the Central and Eastern European markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(5), pages 707-723.
    14. Naszodi, Anna, 2011. "Exchange rate dynamics under state-contingent stochastic process switching," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 896-908, September.
    15. François, Pascal & Morellec, Erwan, 2008. "Closed-form solutions to stochastic process switching problems," Journal of Mathematical Economics, Elsevier, vol. 44(11), pages 1072-1083, December.

  14. Wilfling, Bernd, 1996. "Lorenz ordering of generalized beta-II income distributions," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 381-388.

    Cited by:

    1. David Warner & Prasada Rao & William E. Griffiths & Duangkamon Chotikapanich, 2011. "Global Inequality: Levels and Trends, 1993-2005," Discussion Papers Series 436, School of Economics, University of Queensland, Australia.
    2. Duangkamon Chotikapanich & William E. Griffiths & D.S. Prasada Rao, 2005. "Estimating and Combining National Income Distributions using Limited Data," Department of Economics - Working Papers Series 926, The University of Melbourne.
    3. Kleiber, Christian, 2002. "Lorenz ordering of order statistics from log-logistic and related distributions," Technical Reports 2002,09, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    4. Duangkamon Chotikapanich & William E Griffiths & D.S. Prasada Rao & Vicar Valencia, 2009. "Global Income Distribution and Inequality: 1993 and 2000," Department of Economics - Working Papers Series 1062, The University of Melbourne.
    5. Michał Brzeziński, 2013. "Parametric modelling of income distribution in Central and Eastern Europe," Working Papers 2013-31, Faculty of Economic Sciences, University of Warsaw.
    6. Sarabia, Jose Maria & Castillo, Enrique & Slottje, Daniel J., 2002. "Lorenz ordering between McDonald's generalized functions of the income size distribution," Economics Letters, Elsevier, vol. 75(2), pages 265-270, April.
    7. Belzunce, Félix & Pinar, José F. & Ruiz, José M. & Sordo, Miguel A., 2013. "Comparison of concentration for several families of income distributions," Statistics & Probability Letters, Elsevier, vol. 83(4), pages 1036-1045.

  15. Wilfling, Bernd, 1996. "Lorenz ordering of power-function order statistics," Statistics & Probability Letters, Elsevier, vol. 30(4), pages 313-319, November.

    Cited by:

    1. Kleiber, Christian, 2002. "Variability ordering of heavy-tailed distributions with applications to order statistics," Statistics & Probability Letters, Elsevier, vol. 58(4), pages 381-388, July.
    2. Kleiber, Christian, 2002. "Lorenz ordering of order statistics from log-logistic and related distributions," Technical Reports 2002,09, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    3. Stefananescu, Stefan, 2008. "Measuring the Socio-Economic Bipolarization Phenomenon," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(1), pages 149-161, March.
    4. Kochar, Subhash, 2006. "Lorenz ordering of order statistics," Statistics & Probability Letters, Elsevier, vol. 76(17), pages 1855-1860, November.

  16. Wilfling, Bernd & Kramer, Walter, 1993. "The Lorenz-ordering of Singh-Maddala income distributions," Economics Letters, Elsevier, vol. 43(1), pages 53-57.

    Cited by:

    1. Thomas Groll & Peter J. Lambert, 2011. "The pro-poorness, growth and inequality nexus: Some findings from a simulation study," Working Papers 214, ECINEQ, Society for the Study of Economic Inequality.
    2. Wilfling, Bernd, 1996. "Lorenz ordering of generalized beta-II income distributions," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 381-388.
    3. Wilfling, Bernd, 1996. "Lorenz ordering of power-function order statistics," Statistics & Probability Letters, Elsevier, vol. 30(4), pages 313-319, November.
    4. Kleiber, Christian, 2007. "The Lorenz curve in economics and econometrics," Working papers 2007/09, Faculty of Business and Economics - University of Basel.
    5. Fabio Clementi & Mauro Gallegati & Giorgio Kaniadakis, 2010. "A model of personal income distribution with application to Italian data," Empirical Economics, Springer, vol. 39(2), pages 559-591, October.
    6. Prieto Alaiz, M. & Pena Trapero, B., 2000. "Repercusiones de la ocultación de renta sobre la medición de la desigualdad," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 14, pages 153-172, Abril.
    7. Jäntti, Markus & Jenkins, Stephen P., 2001. "Examining the Impact of Macro-Economic Conditions on Income Inequality," IZA Discussion Papers 364, Institute for the Study of Labor (IZA).
    8. Kleiber, Christian, 1996. "Dagum vs. Singh-Maddala income distributions," Economics Letters, Elsevier, vol. 53(3), pages 265-268, December.
    9. Sarabia, Jose Maria & Castillo, Enrique & Slottje, Daniel J., 2002. "Lorenz ordering between McDonald's generalized functions of the income size distribution," Economics Letters, Elsevier, vol. 75(2), pages 265-270, April.
    10. James Harvey, "undated". "A note on the 'Natural Rate of Subjective Inequality' hypothesis and the approximate relationship between the Gini coefficient and the Atkinson index," Discussion Papers 03/12, Department of Economics, University of York.
    11. Michał Brzeziński, 2014. "Empirical modeling of the impact factor distribution," Working Papers 2014-01, Faculty of Economic Sciences, University of Warsaw.
    12. Belzunce, Félix & Pinar, José F. & Ruiz, José M. & Sordo, Miguel A., 2013. "Comparison of concentration for several families of income distributions," Statistics & Probability Letters, Elsevier, vol. 83(4), pages 1036-1045.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 16 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ORE: Operations Research (9) 2011-02-05 2012-07-01 2014-11-07 2015-05-22 2016-01-29 2017-01-22 2017-06-04 2017-07-02 2017-11-05. Author is listed
  2. NEP-ECM: Econometrics (6) 2009-12-11 2011-02-05 2013-12-06 2015-05-22 2016-04-30 2017-07-02. Author is listed
  3. NEP-FMK: Financial Markets (4) 2009-12-11 2014-11-07 2015-05-22 2016-01-29
  4. NEP-ETS: Econometric Time Series (3) 2011-02-05 2016-04-30 2017-07-02
  5. NEP-DCM: Discrete Choice Models (2) 2017-06-04 2017-06-04
  6. NEP-ENE: Energy Economics (2) 2012-07-01 2017-06-04
  7. NEP-FOR: Forecasting (2) 2016-04-30 2017-06-04
  8. NEP-MON: Monetary Economics (2) 2010-02-13 2011-02-26
  9. NEP-MST: Market Microstructure (2) 2009-12-11 2014-11-07
  10. NEP-CFN: Corporate Finance (1) 2010-02-13
  11. NEP-CIS: Confederation of Independent States (1) 2012-07-01
  12. NEP-HIS: Business, Economic & Financial History (1) 2011-02-26
  13. NEP-IFN: International Finance (1) 2011-02-26

Corrections

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

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

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

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

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

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