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Bernd Wilfling

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. Mawuli Segnon & Rangan Gupta & Bernd Wilfling, 2022. "Forecasting Stock Market Volatility with Regime-Switching GARCH-MIDAS: The Role of Geopolitical Risks," Working Papers 202203, University of Pretoria, Department of Economics.

    Cited by:

    1. Mensi, Walid & Lee, Yeonjeong & Al-Kharusi, Sami & Yoon, Seong-Min, 2024. "Switching spillovers and connectedness between Sukuk and international Islamic stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    2. Yun-Shi Dai & Peng-Fei Dai & Wei-Xing Zhou, 2024. "The impact of geopolitical risk on the international agricultural market: Empirical analysis based on the GJR-GARCH-MIDAS model," Papers 2404.01641, arXiv.org.
    3. Vincenzo Candila & Oguzhan Cepni & Giampiero M. Gallo & Rangan Gupta, 2024. "Influence of Local and Global Economic Policy Uncertainty on the Volatility of US State-Level Equity Returns: Evidence from a GARCH-MIDAS Approach with Shrinkage and Cluster Analysis," Working Papers 202437, University of Pretoria, Department of Economics.
    4. Salisu, Afees A. & Ogbonna, Ahamuefula E. & Gupta, Rangan & Bouri, Elie, 2024. "Energy-related uncertainty and international stock market volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 280-293.
    5. Wang, Lu & Wu, Jiangbin & Cao, Yang & Hong, Yanran, 2022. "Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?," Energy Economics, Elsevier, vol. 111(C).
    6. Afees A. Salisu & Ahamuefula E.Oghonna & Rangan Gupta & Oguzhan Cepni, 2024. "Energy Market Uncertainties and US State-Level Stock Market Volatility: A GARCH-MIDAS Approach," Working Papers 202409, University of Pretoria, Department of Economics.

  2. Bjoern Schulte-Tillman & Mawuli Segnon & Bernd Wilfling, 2022. "Financial-market volatility prediction with multiplicative Markov-switching MIDAS components," CQE Working Papers 9922, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Mawuli Segnon & Rangan Gupta & Bernd Wilfling, 2022. "Forecasting Stock Market Volatility with Regime-Switching GARCH-MIDAS: The Role of Geopolitical Risks," Working Papers 202203, University of Pretoria, Department of Economics.
    2. Wenting Liu & Zhaozhong Gui & Guilin Jiang & Lihua Tang & Lichun Zhou & Wan Leng & Xulong Zhang & Yujiang Liu, 2023. "Stock Volatility Prediction Based on Transformer Model Using Mixed-Frequency Data," Papers 2309.16196, arXiv.org.

  3. Verena Monschang & Bernd Wilfling, 2019. "Sup-ADF-style bubble-detection methods under test," CQE Working Papers 7819, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Nicole Branger & Mark Trede & Bernd Wilfling, 2024. "Extracting stock-market bubbles from dividend futures," CQE Working Papers 10724, Center for Quantitative Economics (CQE), University of Muenster.
    2. Skrobotov Anton, 2023. "Testing for explosive bubbles: a review," Dependence Modeling, De Gruyter, vol. 11(1), pages 1-26, January.
    3. Martin Sola, 2023. "Rational Bubbles: Too Many to be True?," Working Papers 240, Red Nacional de Investigadores en Economía (RedNIE).
    4. Yuchao Fan, 2022. "Dissecting the dot-com bubble in the 1990s NASDAQ," Papers 2206.14130, arXiv.org, revised Jul 2022.
    5. Aktham Maghyereh & Hussein Abdoh, 2022. "Can news-based economic sentiment predict bubbles in precious metal markets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-29, December.
    6. Kübra Akyol Özcan, 2023. "Food Price Bubbles: Food Price Indices of Turkey, the FAO, the OECD, and the IMF," Sustainability, MDPI, vol. 15(13), pages 1-21, June.

  4. 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.

    Cited by:

    1. Verena Monschang & Bernd Wilfling, 2022. "A procedure for upgrading linear-convex combination forecasts with an application to volatility prediction," CQE Working Papers 9722, Center for Quantitative Economics (CQE), University of Muenster.

  5. 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.

    Cited by:

    1. Verena Monschang & Bernd Wilfling, 2021. "Sup-ADF-style bubble-detection methods under test," Empirical Economics, Springer, vol. 61(1), pages 145-172, July.
    2. Nicole Branger & Mark Trede & Bernd Wilfling, 2024. "Extracting stock-market bubbles from dividend futures," CQE Working Papers 10724, Center for Quantitative Economics (CQE), University of Muenster.

  6. Martina Danielova Zaharieva & Mark Trede & Bernd Wilfling, 2017. "Bayesian semiparametric multivariate stochastic volatility with an application to international stock-market co-movements," CQE Working Papers 6217, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Audronė Virbickaitė & Hedibert F. Lopes, 2019. "Bayesian semiparametric Markov switching stochastic volatility model," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 35(4), pages 978-997, July.
    2. Audrone Virbickaite & Hedibert F. Lopes, 2018. "Bayesian Semi-Parametric Markov Switching Stochastic Volatility Model," DEA Working Papers 89, Universitat de les Illes Balears, Departament d'Economía Aplicada.

  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.

    Cited by:

    1. Lorraine Muguto & Paul-Francois Muzindutsi, 2022. "A Comparative Analysis of the Nature of Stock Return Volatility in BRICS and G7 Markets," JRFM, MDPI, vol. 15(2), pages 1-27, February.
    2. Dammak, Wael & Boutouria, Nahla & Ben Hamad, Salah & de Peretti, Christian, 2023. "Investor behavior in the currency option market during the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    3. Zaremba, Adam & Kizys, Renatas & Aharon, David Y. & Demir, Ender, 2020. "Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe," Finance Research Letters, Elsevier, vol. 35(C).
    4. He, Jingbin & Ma, Xinru & Wei, Qu, 2022. "Firm-level short selling and the local COVID-19 pandemic: Evidence from China," Economic Modelling, Elsevier, vol. 113(C).
    5. Miralles-Quirós, José Luis & Miralles-Quirós, María Mar, 2019. "Are alternative energies a real alternative for investors?," Energy Economics, Elsevier, vol. 78(C), pages 535-545.
    6. Wael DAMMAK, 2024. "Assessing Effect of Market Sentiment on Pricing of European Currency Options ‎," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(6), pages 1224-1244, June.
    7. José Luis Miralles-Quirós & María Mar Miralles-Quirós, 2021. "Alternative Financial Methods for Improving the Investment in Renewable Energy Companies," Mathematics, MDPI, vol. 9(9), pages 1-25, May.
    8. Duong, Huu Nhan & Kalev, Petko S. & Tian, Xiao, 2023. "Short selling, divergence of opinion and volatility in the corporate bond market," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    9. Nathalie Oriol & Iryna Veryzhenko, 2019. "Market structure or traders' behavior? A multi agent model to assess flash crash phenomena and their regulation," Post-Print halshs-01984442, HAL.
    10. Zghal, Imen & Ben Hamad, Salah & Eleuch, Hichem & Nobanee, Haitham, 2020. "The effect of market sentiment and information asymmetry on option pricing," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    11. Patel, Harihar & Guidi, Francesco, 2024. "The effect of the 2008–09 short selling sales ban on UK security equities in relation to market metrics of volatility, liquidity, and price discovery," Research in International Business and Finance, Elsevier, vol. 70(PA).
    12. Dammak, Wael & Hamad, Salah Ben & de Peretti, Christian & Eleuch, Hichem, 2023. "Pricing of European currency options considering the dynamic information costs," Global Finance Journal, Elsevier, vol. 58(C).

  8. 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. 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.
    2. Shen, Zhiwei & Ritter, Matthias, 2015. "Forecasting volatility of wind power production," SFB 649 Discussion Papers 2015-026, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Patel, Harihar & Guidi, Francesco, 2024. "The effect of the 2008–09 short selling sales ban on UK security equities in relation to market metrics of volatility, liquidity, and price discovery," Research in International Business and Finance, Elsevier, vol. 70(PA).
    4. Xie, Xiaoyu & Zhu, Heliang, 2021. "The role of gold futures in mitigating the impact of economic uncertainty on spot prices: Evidence from China," Research in International Business and Finance, Elsevier, vol. 56(C).
    5. Lu, Fei & Ma, Feng & Bouri, Elie & Liao, Yin, 2024. "Do commodity futures have a steering effect on the spot stock market in China? New evidence from volatility forecasting," International Review of Financial Analysis, Elsevier, vol. 94(C).
    6. Sui, Cong & Lung, Peter & Yang, Mo, 2021. "Index option trading and equity volatility: Evidence from the SSE 50 and CSI 500 stocks," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 60-75.

  9. 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. Verena Monschang & Bernd Wilfling, 2021. "Sup-ADF-style bubble-detection methods under test," Empirical Economics, Springer, vol. 61(1), pages 145-172, July.
    2. Ripamonti, Alexandre & Silva, Diego & Moreira Neto, Eurico, 2018. "Asset Pricing and Asymmetric Information," MPRA Paper 87403, University Library of Munich, Germany.
    3. Benedikt Rotermann & Bernd Wilfling, 2018. "A new stock-price bubble with stochastically deflating trajectories," Applied Economics Letters, Taylor & Francis Journals, vol. 25(15), pages 1091-1096, September.
    4. Nicole Branger & Mark Trede & Bernd Wilfling, 2024. "Extracting stock-market bubbles from dividend futures," CQE Working Papers 10724, Center for Quantitative Economics (CQE), University of Muenster.
    5. Rangan Gupta & Jacobus Nel & Joshua Nielsen & Christian Pierdzioch, 2023. "Stock Market Volatility and Multi-Scale Positive and Negative Bubbles," Working Papers 202310, University of Pretoria, Department of Economics.
    6. Gilles de Truchis & Benjamin Keddad, 2014. "On the Risk Comovements between the Crude Oil Market and the U.S. Dollar Exchange Rates," AMSE Working Papers 1421, Aix-Marseille School of Economics, France, revised May 2014.

  10. 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. 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.
    6. Márquez-Velázquez, Alejandro, 2019. "Developing countries' political cycles and the resource curse: Venezuela's case," Discussion Papers 2019/14, Free University Berlin, School of Business & Economics.
    7. 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.
    8. 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.
    9. Almansour, Abdullah, 2016. "Convenience yield in commodity price modeling: A regime switching approach," Energy Economics, Elsevier, vol. 53(C), pages 238-247.
    10. 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.
    11. Caspi, Itamar & Katzke, Nico & Gupta, Rangan, 2018. "Date stamping historical periods of oil price explosivity: 1876–2014," Energy Economics, Elsevier, vol. 70(C), pages 582-587.
    12. Su, Chi-Wei & Li, Zheng-Zheng & Tao, Ran & Si, Deng-Kui, 2018. "Testing for multiple bubbles in bitcoin markets: A generalized sup ADF test," Japan and the World Economy, Elsevier, vol. 46(C), pages 56-63.
    13. Umar, Muhammad & Su, Chi-Wei & Rizvi, Syed Kumail Abbas & Lobonţ, Oana-Ramona, 2021. "Driven by fundamentals or exploded by emotions: Detecting bubbles in oil prices," Energy, Elsevier, vol. 231(C).
    14. Krzysztof Drachal, 2018. "Determining Time-Varying Drivers of Spot Oil Price in a Dynamic Model Averaging Framework," Energies, MDPI, vol. 11(5), pages 1-24, May.
    15. 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.
    16. Li Jingjing & Tang Ling & Li Ling, 2020. "The Co-Movements Between Crude Oil Price and Internet Concerns: Causality Analysis in the Frequency Domain," Journal of Systems Science and Information, De Gruyter, vol. 8(3), pages 224-239, June.
    17. 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.
    18. Bettendorf, Timo & Chen, Wenjuan, 2013. "Are there bubbles in the Sterling-dollar exchange rate? New evidence from sequential ADF tests," SFB 649 Discussion Papers 2013-012, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    19. 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.
    20. Chan, Joshua C.C. & Santi, Caterina, 2021. "Speculative bubbles in present-value models: A Bayesian Markov-switching state space approach," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    21. Khalid Khan & Chi-Wei Su & Adnan Khurshid & Muhammad Umar, 2022. "Are there bubbles in the vanilla price?," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-16, December.
    22. 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.
    23. Sharma, Shahil & Escobari, Diego, 2017. "Identifying Price Bubble Periods in the Energy Sector," MPRA Paper 83355, University Library of Munich, Germany.
    24. 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 Kiel).
    25. 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.
    26. Zhang, Dayong & Wang, Tiantian & Shi, Xunpeng & Liu, Jia, 2018. "Is hub-based pricing a better choice than oil indexation for natural gas? Evidence from a multiple bubble test," Energy Economics, Elsevier, vol. 76(C), pages 495-503.
    27. Figuerola-Ferretti, Isabel & McCrorie, J. Roderick & Paraskevopoulos, Ioannis, 2020. "Mild explosivity in recent crude oil prices," Energy Economics, Elsevier, vol. 87(C).
    28. 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.
    29. Sabri Boubaker & Zhenya Liu & Yaosong Zhan, 2022. "Risk management for crude oil futures: an optimal stopping-timing approach," Annals of Operations Research, Springer, vol. 313(1), pages 9-27, June.
    30. Ahmed, Mumtaz & Bashir, Uzma & Ullah, Irfan, 2021. "Testing for explosivity in US-Pak Exchange Rate via Sequential ADF Procedures," MPRA Paper 109607, University Library of Munich, Germany.
    31. Ma, Yu & Zhang, Yang & Ji, Qiang, 2021. "Do oil shocks affect Chinese bank risk?," Energy Economics, Elsevier, vol. 96(C).
    32. Itamar Caspi & Nico Katzke & Rangan Gupta, 2014. "Date stamping historical oil price bubbles: 1876 - 2014," Working Papers 20/2014, Stellenbosch University, Department of Economics.
    33. Li, Yan & Chevallier, Julien & Wei, Yigang & Li, Jing, 2020. "Identifying price bubbles in the US, European and Asian natural gas market: Evidence from a GSADF test approach," Energy Economics, Elsevier, vol. 87(C).
    34. Drachal, Krzysztof, 2016. "Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time?," Energy Economics, Elsevier, vol. 60(C), pages 35-46.
    35. 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.
    36. Gharib, Cheima & Mefteh-Wali, Salma & Serret, Vanessa & Ben Jabeur, Sami, 2021. "Impact of COVID-19 pandemic on crude oil prices: Evidence from Econophysics approach," Resources Policy, Elsevier, vol. 74(C).
    37. Nicole Branger & Mark Trede & Bernd Wilfling, 2024. "Extracting stock-market bubbles from dividend futures," CQE Working Papers 10724, Center for Quantitative Economics (CQE), University of Muenster.
    38. Chai, Jian & Xing, Li-Min & Zhou, Xiao-Yang & Zhang, Zhe George & Li, Jie-Xun, 2018. "Forecasting the WTI crude oil price by a hybrid-refined method," Energy Economics, Elsevier, vol. 71(C), pages 114-127.
    39. Ayben Koy, 2022. "Regime Switching Mechanism during Energy Futures Price Bubbles," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 373-382.
    40. Gilles de Truchis & Benjamin Keddad, 2014. "On the Risk Comovements between the Crude Oil Market and the U.S. Dollar Exchange Rates," AMSE Working Papers 1421, Aix-Marseille School of Economics, France, revised May 2014.
    41. Shen, Zhiwei & Ritter, Matthias, 2015. "Forecasting volatility of wind power production," SFB 649 Discussion Papers 2015-026, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    42. Robert Czudaj, 2019. "Crude oil futures trading and uncertainty," Chemnitz Economic Papers 027, Department of Economics, Chemnitz University of Technology, revised Jan 2019.
    43. Hong, Yanran & Wang, Lu & Liang, Chao & Umar, Muhammad, 2022. "Impact of financial instability on international crude oil volatility: New sight from a regime-switching framework," Resources Policy, Elsevier, vol. 77(C).
    44. Oladosu, Gbadebo, 2022. "Bubbles in US gasoline prices: Assessing the role of hurricanes and anti–price gouging laws," Journal of Commodity Markets, Elsevier, vol. 27(C).
    45. Ajmi, Ahdi Noomen & Hammoudeh, Shawkat & Mokni, Khaled, 2021. "Detection of bubbles in WTI, brent, and Dubai oil prices: A novel double recursive algorithm," Resources Policy, Elsevier, vol. 70(C).
    46. 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.
    47. Christos Floros & Georgios Galyfianakis, 2020. "Bubbles in Crude Oil and Commodity Energy Index: New Evidence," Energies, MDPI, vol. 13(24), pages 1-11, December.
    48. Jiaying Peng & Zhenghui Li & Benjamin M. Drakeford, 2020. "Dynamic Characteristics of Crude Oil Price Fluctuation—From the Perspective of Crude Oil Price Influence Mechanism," Energies, MDPI, vol. 13(17), pages 1-19, August.
    49. Sun, Zesheng & Wang, Yaoqing & Zhou, Xu & Yang, Lunan, 2019. "The roundabout from interest rates to commodity prices in China: The role of money flow," Resources Policy, Elsevier, vol. 61(C), pages 627-642.
    50. 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.
    51. Chul-Yong Lee & Sung-Yoon Huh, 2017. "Forecasting Long-Term Crude Oil Prices Using a Bayesian Model with Informative Priors," Sustainability, MDPI, vol. 9(2), pages 1-15, January.
    52. Efthymios G. Pavlidis & Ivan Paya & David A. Peel, 2018. "Using Market Expectations to Test for Speculative Bubbles in the Crude Oil Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(5), pages 833-856, August.
    53. Khan, Khalid & Su, Chi-Wei & Umar, Muhammad & Yue, Xiao-Guang, 2021. "Do crude oil price bubbles occur?," Resources Policy, Elsevier, vol. 71(C).
    54. Jinyu Chen & Xuehong Zhu, 2021. "The Effects of Different Types of Oil Price Shocks on Industrial PPI: Evidence from 36 Sub-industries in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(12), pages 3411-3434, September.
    55. 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.
    56. 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.
    57. Alola, Andrew A. & Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2022. "Outlook of oil prices and volatility from 1970 to 2040 through global energy mix-security from production to reserves: A nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 79(C).
    58. 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.
    59. 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.
    60. Tolhurst, Tor N., 2018. "A Model-Free Bubble Detection Method: Application to the World Market for Superstar Wines," 2018 Annual Meeting, August 5-7, Washington, D.C. 274387, Agricultural and Applied Economics Association.
    61. Haykir, Ozkan & Yagli, Ibrahim & Aktekin Gok, Emine Dilara & Budak, Hilal, 2022. "Oil price explosivity and stock return: Do sector and firm size matter?," Resources Policy, Elsevier, vol. 78(C).
    62. Wang, Kai-Hua & Su, Chi-Wei & Lobonţ, Oana-Ramona & Moldovan, Nicoleta-Claudia, 2020. "Chinese renewable energy industries’ boom and recession: Evidence from bubble detection procedure," Energy Policy, Elsevier, vol. 138(C).
    63. 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.
    64. Theodosios Perifanis, 2019. "Detecting West Texas Intermediate (WTI) Prices’ Bubble Periods," Energies, MDPI, vol. 12(14), pages 1-16, July.
    65. Liu, Renren & Chen, Jianzhong & Wen, Fenghua, 2021. "The nonlinear effect of oil price shocks on financial stress: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    66. 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.

  11. 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.

    Cited by:

    1. Pandey, Dharen Kumar & Lucey, Brian M. & Kumar, Satish, 2023. "Border disputes, conflicts, war, and financial markets research: A systematic review," Research in International Business and Finance, Elsevier, vol. 65(C).
    2. Piotr Fiszeder & Marta Ma³ecka, 2022. "Forecasting volatility during the outbreak of Russian invasion of Ukraine: application to commodities, stock indices, currencies, and cryptocurrencies," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(4), pages 939-967, December.

  12. 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.

  13. 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. 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.
    5. 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.
    6. 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.
    7. Bettendorf, Timo & Chen, Wenjuan, 2013. "Are there bubbles in the Sterling-dollar exchange rate? New evidence from sequential ADF tests," SFB 649 Discussion Papers 2013-012, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    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. Chan, Joshua C.C. & Santi, Caterina, 2021. "Speculative bubbles in present-value models: A Bayesian Markov-switching state space approach," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    10. 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.
    11. Han, Liyan & Jin, Jiayu & Wu, Lei & Zeng, Hongchao, 2020. "The volatility linkage between energy and agricultural futures markets with external shocks," International Review of Financial Analysis, Elsevier, vol. 68(C).
    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 Kiel).
    14. Jacka, Saul D. & Ocejo, Adriana, 2018. "On the regularity of American options with regime-switching uncertainty," Stochastic Processes and their Applications, Elsevier, vol. 128(3), pages 803-818.
    15. Chen, Weijia & Huang, Shupei & An, Haizhong, 2023. "Revealing dynamic intrinsic temporal and spatial scale characteristics of oil price volatility in bubble and non-bubble periods," Finance Research Letters, Elsevier, vol. 55(PA).
    16. Ahmed, Mumtaz & Bashir, Uzma & Ullah, Irfan, 2021. "Testing for explosivity in US-Pak Exchange Rate via Sequential ADF Procedures," MPRA Paper 109607, University Library of Munich, Germany.
    17. Zeren Feyyaz & Yilanci Veli, 2019. "Are there Multiple Bubbles in the Stock Markets? Further Evidence from Selected Countries," Ekonomika (Economics), Sciendo, vol. 98(1), pages 81-95, June.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Hainaut, Donatien & Moraux, Franck, 2019. "A switching self-exciting jump diffusion process for stock prices," LIDAM Reprints ISBA 2019017, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    23. Nicole Branger & Mark Trede & Bernd Wilfling, 2024. "Extracting stock-market bubbles from dividend futures," CQE Working Papers 10724, Center for Quantitative Economics (CQE), University of Muenster.
    24. 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.
    25. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Post-Print halshs-00658540, HAL.
    26. 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.
    27. Maddalena Cavicchioli, 2020. "Invertibility and VAR Representations of Time-Varying Dynamic Stochastic General Equilibrium Models," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 61-86, January.
    28. 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.
    29. Yousefi, Hamed & Najand, Mohammad, 2022. "Geographical diversification using ETFs: Multinational evidence from COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 83(C).
    30. 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.
    31. 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.
    32. 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.
    33. Tolhurst, Tor N., 2018. "A Model-Free Bubble Detection Method: Application to the World Market for Superstar Wines," 2018 Annual Meeting, August 5-7, Washington, D.C. 274387, Agricultural and Applied Economics Association.
    34. 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.

  14. 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. Basheer Ahmad & Usman Ali Warraich & Sidra Saeed, 2014. "Impact Of Investor Sentiments On Future Trading," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 10(2), pages 16-32.
    3. Imtiaz Mohammad Sifat & Azhar Mohamad & Kevin Reinaldo Amin, 2021. "Intertemporal price discovery between stock index futures and spot markets: New evidence from high‐frequency data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 898-913, January.
    4. 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.
    5. 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.
    6. Shao, Ying-Hui & Yang, Yan-Hong & Shao, Hao-Lin & Stanley, H. Eugene, 2019. "Time-varying lead–lag structure between the crude oil spot and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 723-733.
    7. Kumar, Satish, 2018. "Price discovery in emerging currency markets," Research in International Business and Finance, Elsevier, vol. 46(C), pages 528-536.
    8. Kumar, S.S.S. & Sampath, Aravind, 2019. "What drives the off-shore futures market? Evidence from India and China," Finance Research Letters, Elsevier, vol. 30(C), pages 394-402.
    9. Kai Wu & Yi Liu & Weiyang Feng, 2022. "The Effect of Index Option Trading on Stock Market Volatility in China: An Empirical Investigation," JRFM, MDPI, vol. 15(4), pages 1-19, March.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Guglielmo Maria Caporale & Timur Zekokh, 2018. "Modelling Volatility of Cryptocurrencies Using Markov-Switching Garch Models," CESifo Working Paper Series 7167, CESifo.
    15. 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.
    16. 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.
    17. Lee, Chyi Lin & Stevenson, Simon & Cho, Hyunbum, 2022. "Listed real estate futures trading, market efficiency, and direct real estate linkages: International evidence," Journal of International Money and Finance, Elsevier, vol. 127(C).
    18. Karabiyik, Hande & Narayan, Paresh Kumar & Phan, Dinh Hoang Bach & Westerlund, Joakim, 2018. "Islamic spot and index futures markets: Where is the price discovery?," Pacific-Basin Finance Journal, Elsevier, vol. 52(C), pages 123-133.

  15. 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. 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.
    2. 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.
    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. Bernardo D’Auria & Alessandro Ferriero, 2020. "A Class of Itô Diffusions with Known Terminal Value and Specified Optimal Barrier," Mathematics, MDPI, vol. 8(1), pages 1-14, January.
    5. Zhao, Shoujiang & Liu, Qiaojing & Chen, Ting, 2018. "On the large deviation principle for maximum likelihood estimator of α-Brownian bridge," Statistics & Probability Letters, Elsevier, vol. 138(C), pages 143-150.

  16. Antzoulatos, Angelos A. & Wilfling, Bernd, 2003. "Exchange and Interest Rates prior to EMU: The Case of Greece," Discussion Paper Series 26325, Hamburg Institute of International Economics.

    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).

  17. Wilfling, Bernd, 2001. "Interest Rate Volatility Prior to Monetary Union Under Alternative Pre-Switch Regimes," Discussion Paper Series 26277, Hamburg Institute of International Economics.

    Cited by:

    1. Davies, Laurie & Höhenrieder, Christian & Krämer, Walter, 2012. "Recursive computation of piecewise constant volatilities," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3623-3631.
    2. 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.

Articles

  1. Segnon, Mawuli & Gupta, Rangan & Wilfling, Bernd, 2024. "Forecasting stock market volatility with regime-switching GARCH-MIDAS: The role of geopolitical risks," International Journal of Forecasting, Elsevier, vol. 40(1), pages 29-43.
    See citations under working paper version above.
  2. Verena Monschang & Bernd Wilfling, 2021. "Sup-ADF-style bubble-detection methods under test," Empirical Economics, Springer, vol. 61(1), pages 145-172, July.
    See citations under working paper version above.
  3. Till Weigt & Bernd Wilfling, 2021. "An approach to increasing forecast‐combination accuracy through VAR error modeling," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(4), pages 686-699, July.
    See citations under working paper version above.
  4. Martina Danielova Zaharieva & Mark Trede & Bernd Wilfling, 2020. "Bayesian semiparametric multivariate stochastic volatility with application," Econometric Reviews, Taylor & Francis Journals, vol. 39(9), pages 947-970, October.

    Cited by:

    1. Donelli, Nicola & Peluso, Stefano & Mira, Antonietta, 2021. "A Bayesian semiparametric vector Multiplicative Error Model," Computational Statistics & Data Analysis, Elsevier, vol. 161(C).
    2. Bjoern Schulte-Tillmann & Mawuli Segnon & Timo Wiedemann, 2023. "A comparison of high-frequency realized variance measures: Duration- vs. return-based approaches," CQE Working Papers 10523, Center for Quantitative Economics (CQE), University of Muenster.
    3. Bjoern Schulte-Tillman & Mawuli Segnon & Bernd Wilfling, 2022. "Financial-market volatility prediction with multiplicative Markov-switching MIDAS components," CQE Working Papers 9922, Center for Quantitative Economics (CQE), University of Muenster.
    4. Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024. "Bayesian forecasting in economics and finance: A modern review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
    5. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.

  5. Benedikt Rotermann & Bernd Wilfling, 2018. "A new stock-price bubble with stochastically deflating trajectories," Applied Economics Letters, Taylor & Francis Journals, vol. 25(15), pages 1091-1096, September.
    See citations under working paper version above.
  6. 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 & Rangan Gupta & Bernd Wilfling, 2022. "Forecasting Stock Market Volatility with Regime-Switching GARCH-MIDAS: The Role of Geopolitical Risks," Working Papers 202203, University of Pretoria, Department of Economics.
    2. Verena Monschang & Bernd Wilfling, 2021. "Sup-ADF-style bubble-detection methods under test," Empirical Economics, Springer, vol. 61(1), pages 145-172, July.
    3. Maciej Augustyniak & Mathieu Boudreault & Manuel Morales, 2018. "Maximum Likelihood Estimation of the Markov-Switching GARCH Model Based on a General Collapsing Procedure," Methodology and Computing in Applied Probability, Springer, vol. 20(1), pages 165-188, March.
    4. 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.
    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.

  7. 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.
    See citations under working paper version above.
  8. 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.
  9. 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.
  10. 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.
    See citations under working paper version above.
  11. 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.
  12. 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. 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.
    2. 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.
    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. Bernardo D’Auria & Alessandro Ferriero, 2020. "A Class of Itô Diffusions with Known Terminal Value and Specified Optimal Barrier," Mathematics, MDPI, vol. 8(1), pages 1-14, January.
    5. Zhao, Shoujiang & Liu, Qiaojing & Chen, Ting, 2018. "On the large deviation principle for maximum likelihood estimator of α-Brownian bridge," Statistics & Probability Letters, Elsevier, vol. 138(C), pages 143-150.
    6. 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.

  13. 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.
  14. 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.
  15. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Juan M. Lozada & Lina M. Cortés & Daniel Velasquez Gaviria, 2020. "The Stock Market Reaction to Mergers and Acquisitions: Evidence from the Banking Industry," Documentos de Trabajo de Valor Público 17936, Universidad EAFIT.
    8. 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.

  16. 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. Yanlin Shi & Lingbing Feng & Tong Fu, 2020. "Markov Regime-Switching in-Mean Model with Tempered Stable Distribution," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1275-1299, April.
    2. 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".
    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. Shi, Yanlin & Ho, Kin-Yip, 2021. "News sentiment and states of stock return volatility: Evidence from long memory and discrete choice models," Finance Research Letters, Elsevier, vol. 38(C).
    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. 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.
    7. Chappell, Daniel, 2018. "Regime heteroskedasticity in Bitcoin: A comparison of Markov switching models," MPRA Paper 90682, University Library of Munich, Germany.
    8. 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.
    9. 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.
    10. M. Frömmel, 2007. "Volatility Regimes in Central and Eastern European Countries’ Exchange Rates," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/487, Ghent University, Faculty of Economics and Business Administration.
    11. Grossmann, Axel & Orlov, Alexei G., 2012. "Exchange rate misalignments in frequency domain," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 185-199.
    12. 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.
    13. Guglielmo Maria Caporale & Timur Zekokh, 2018. "Modelling Volatility of Cryptocurrencies Using Markov-Switching Garch Models," CESifo Working Paper Series 7167, CESifo.
    14. 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.
    15. 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.
    16. Jeff Fleming & Chris Kirby, 2013. "Component-Driven Regime-Switching Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 11(2), pages 263-301, March.
    17. 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.
    18. Feng Lingbing & Shi Yanlin, 2020. "Markov regime-switching autoregressive model with tempered stable distribution: simulation evidence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(1), pages 1-27, February.
    19. 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.
    20. BenSaïda, Ahmed, 2015. "The frequency of regime switching in financial market volatility," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 63-79.

  17. 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. Robert M. Hull & Sungkyu Kwak & Rosemary Walker, 2018. "Hedge fund attributes, insider behavior, and IPO volatility," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(2), pages 268-292, April.
    2. 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.
    3. 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.
    4. Feng, Yumei & Pan, Yuying & Ho, Kung-Cheng & Liu, Guanchun, 2023. "Corporate governance of weak stakeholders: Minority investors and investment efficiency," Emerging Markets Review, Elsevier, vol. 56(C).
    5. Xue, Wenjun & He, Zhongzhi & Hu, Yu, 2021. "The stabilizing effects of pension funds vs. mutual funds on country-specific market risk," Journal of Multinational Financial Management, Elsevier, vol. 60(C).
    6. Massimo Guidolin & Federica Ria, 2011. "Regime shifts in mean-variance efficient frontiers: Some international evidence," Journal of Asset Management, Palgrave Macmillan, vol. 12(5), pages 322-349, November.
    7. Rafał Wolski & Monika Bolek & Jerzy Gajdka & Janusz Brzeszczyński & Ali M. Kutan, 2023. "Do investment fund managers behave rationally in the light of central bank communication? Survey evidence from Poland," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 15(5), pages 757-794, February.
    8. Kumar, Satish, 2018. "Price discovery in emerging currency markets," Research in International Business and Finance, Elsevier, vol. 46(C), pages 528-536.
    9. 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.
    10. Mario Holzner & Stefan Jestl & David Pichler, 2019. "Public and Private Pension Systems and Macroeconomic Volatility in OECD Countries," wiiw Working Papers 172, The Vienna Institute for International Economic Studies, wiiw.
    11. Kumar, S.S.S. & Sampath, Aravind, 2019. "What drives the off-shore futures market? Evidence from India and China," Finance Research Letters, Elsevier, vol. 30(C), pages 394-402.
    12. Brzeszczyński, Janusz & Bohl, Martin T. & Serwa, Dobromił, 2019. "Pension funds, large capital inflows and stock returns in a thin market," Journal of Pension Economics and Finance, Cambridge University Press, vol. 18(3), pages 347-387, July.
    13. Pramod Kumar Naik & Imlak Shaikh & Toan Luu Duc Huynh, 2022. "Institutional investment activities and stock market volatility amid COVID-19 in India," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 1542-1560, December.
    14. 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.
    15. Li, Hui & Liu, Kerry, 2024. "China's National Team: A Game Changer in Stock Market Stabilization?," Finance Research Letters, Elsevier, vol. 61(C).
    16. Dirk W.G.A. Broeders & Damiaan H.J. Chen & Peter A. Minderhoud & C.J. Willem Schudel, 2021. "Pension Funds' Herding," International Journal of Central Banking, International Journal of Central Banking, vol. 17(1), pages 285-330, March.
    17. Vo, Thi Thuy Anh & Mazur, Mieszko, 2023. "Institutional ownership and stock return volatility during the COVID-19 crisis: An international evidence," Finance Research Letters, Elsevier, vol. 58(PD).
    18. 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.
    19. 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.
    20. 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.
    21. Grabowski, Wojciech & Welfe, Aleksander, 2020. "The Tobit cointegrated vector autoregressive model: An application to the currency market," Economic Modelling, Elsevier, vol. 89(C), pages 88-100.
    22. Gudjonsson Jon & Hougaard Jensen Svend E., 2023. "Pension Funds and Financial Stability: The Case of the UK Gilt Crisis," Intereconomics: Review of European Economic Policy, Sciendo, vol. 58(3), pages 155-159, June.
    23. 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.
    24. Sheng, Jiliang & Xu, Si & An, Yunbi & Yang, Jun, 2022. "Dynamic asset pricing in delegated investment: An investigation from the perspective of heterogeneous beliefs of institutional and retail investors," Economic Modelling, Elsevier, vol. 107(C).
    25. Lu, Hengzhen & Zhu, Xiaoyu & Wang, Jianli & Yick, Ho Yin, 2021. "Share pledge transactions as an investor sentiment indicator - Evidence from China," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 230-238.

  18. 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.
  19. Bernd Wilfling, 2003. "Interest Rate Volatility Prior to Monetary Union under Alternative Pre‐Switch Regimes," German Economic Review, Verein für Socialpolitik, vol. 4(4), pages 433-457, November.
    See citations under working paper version above.
  20. 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.
    2. Shi, Yanlin & Ho, Kin-Yip, 2015. "Modeling high-frequency volatility with three-state FIGARCH models," Economic Modelling, Elsevier, vol. 51(C), pages 473-483.
    3. 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).
    4. 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.
    5. 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, May.
    6. 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.
    7. 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.
    8. 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.
    9. Rehab OSMAN, 2010. "SADC EPAs with the EU: the Right or a Blight Way for Development," EcoMod2010 259600127, EcoMod.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.

  21. 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. Stefananescu, Stefan, 2008. "Measuring the Socio-Economic Bipolarization Phenomenon," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(1), pages 149-161, March.
    3. Kochar, Subhash, 2006. "Lorenz ordering of order statistics," Statistics & Probability Letters, Elsevier, vol. 76(17), pages 1855-1860, November.
    4. Tommaso Lando & Lucio Bertoli-Barsotti, 2020. "Stochastic dominance relations for generalised parametric distributions obtained through composition," METRON, Springer;Sapienza Università di Roma, vol. 78(3), pages 297-311, December.
    5. Lando, Tommaso & Bertoli-Barsotti, Lucio, 2020. "Second-order stochastic dominance for decomposable multiparametric families with applications to order statistics," Statistics & Probability Letters, Elsevier, vol. 159(C).
    6. 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.

  22. 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. D.S. Prasada Rao & Duangkamon Chotikapanich & William E. Griffiths, 2004. "Estimating and Combining National Income Distributions using Limited Data," Econometric Society 2004 Australasian Meetings 213, Econometric Society.
    2. 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.
    3. Michał Brzeziński, 2013. "Parametric modelling of income distribution in Central and Eastern Europe," Working Papers 2013-31, Faculty of Economic Sciences, University of Warsaw.
    4. 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.
    5. 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.
    6. Masato Okamoto, 2022. "Lorenz and Polarization Orderings of the Double-Pareto Lognormal Distribution and Other Size Distributions," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 548-574, November.
    7. Tommaso Lando & Lucio Bertoli-Barsotti, 2020. "Stochastic dominance relations for generalised parametric distributions obtained through composition," METRON, Springer;Sapienza Università di Roma, vol. 78(3), pages 297-311, December.
    8. 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.
    9. Lando, Tommaso & Bertoli-Barsotti, Lucio, 2020. "Second-order stochastic dominance for decomposable multiparametric families with applications to order statistics," Statistics & Probability Letters, Elsevier, vol. 159(C).
    10. 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.

  23. 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. Tam'as S. Bir'o & Zolt'an N'eda, 2020. "Gintropy: Gini index based generalization of Entropy," Papers 2007.04829, arXiv.org.
    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. Louis de Mesnard, 2022. "About some difficulties with the functional forms of Lorenz curves," Post-Print hal-03806134, HAL.
    7. Zahra Behdani & Gholam Reza Mohtashami Borzadaran & Bahram Sadeghpour Gildeh, 2020. "Some properties of double truncated distributions and their application in view of income inequality," Computational Statistics, Springer, vol. 35(1), pages 359-378, March.
    8. 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.
    9. Michał Brzeziński, 2014. "Empirical modeling of the impact factor distribution," Working Papers 2014-01, Faculty of Economic Sciences, University of Warsaw.
    10. 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.
    11. Masato Okamoto, 2022. "Lorenz and Polarization Orderings of the Double-Pareto Lognormal Distribution and Other Size Distributions," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 548-574, November.
    12. Wilfling, Bernd, 1996. "Lorenz ordering of generalized beta-II income distributions," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 381-388.
    13. Jäntti, Markus & Jenkins, Stephen P., 2001. "Examining the Impact of Macro-Economic Conditions on Income Inequality," IZA Discussion Papers 364, Institute of Labor Economics (IZA).
    14. Kleiber, Christian, 1996. "Dagum vs. Singh-Maddala income distributions," Economics Letters, Elsevier, vol. 53(3), pages 265-268, December.
    15. Duangkamon Chotikapanich & William E. Griffiths, 2006. "Bayesian Assessment of Lorenz and Stochastic Dominance in Income Distributions," Department of Economics - Working Papers Series 960, The University of Melbourne.
    16. 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.

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