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Miloslav Vosvrda
(Miloslav Vošvrda)

Personal Details

First Name:Miloslav
Middle Name:
Last Name:Vosvrda
Suffix:
RePEc Short-ID:pvo3
http://vosvrdaweb.utia.cas.cz
Institute of Information Theory Academy of Sciences of the Czech Republic Pod vodarenskou vezi 4 182 08 Prague 8
+42 02 66052400

Affiliation

(50%) Ústav teorie informace a automatizace (ÚTIA)
Akademie věd České Republiky

Praha, Czech Republic
http://www.utia.cas.cz/

: +420 2 66052400
+420 2 86890449
182 08 Prague 8, Pod vodarenskou vezi 4
RePEc:edi:utacacz (more details at EDIRC)

(50%) Institut ekonomických studií
Univerzita Karlova v Praze

Praha, Czech Republic
http://ies.fsv.cuni.cz/

: +420 2 222112330
+420 2 22112304
Opletalova 26, CZ-110 00 Prague
RePEc:edi:icunicz (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kristoufek, Ladislav & Vošvrda, Miloslav S., 2016. "Herding, minority game, market clearing and efficient markets in a simple spin model framework," FinMaP-Working Papers 68, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
  2. Ladislav Kristoufek & Miloslav Vosvrda, 2015. "Gold, currencies and market efficiency," Papers 1510.08615, arXiv.org.
  3. Ladislav Kristoufek & Miloslav Vosvrda, 2013. "Commodity futures and market efficiency," Papers 1309.1492, arXiv.org.
  4. Ladislav Kristoufek & Miloslav Vosvrda, 2013. "Measuring capital market efficiency: Long-term memory, fractal dimension and approximate entropy," Papers 1307.3060, arXiv.org, revised May 2014.
  5. Ladislav Kristoufek & Miloslav Vosvrda, 2012. "Measuring capital market efficiency: Global and local correlations structure," Papers 1208.1298, arXiv.org.
  6. Jozef Barunik & Lukas Vacha & Miloslav Vosvrda, 2010. "Tail Behavior of the Central European Stock Markets during the Financial Crisis," Working Papers IES 2010/04, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Mar 2010.
  7. Miloslav Vošvrda & Jan Kodera, 2007. "Goodwin's Predator-Prey Model with Endogenous Technological Progress," Working Papers IES 2007/09, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2007.
  8. Lukáš Vácha & Miloslav Vošvrda, 2006. "Wavelet Applications to Heterogeneous Agents Model," Working Papers IES 2006/21, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2006.
  9. Jan Kodera & Karel Sladký & Miloslav Vošvrda, 2006. "Neo-Keynesian and Neo-Classical Macroeconomic Models: Stability and Lyapunov Exponents," Working Papers IES 2006/10, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2006.
  10. Jan Kodera & Miloslav Vosvrda, 2006. "Nonlinear Dynamical Model of Economy with Embodied Technological Progress," Computing in Economics and Finance 2006 264, Society for Computational Economics.
  11. Lukáš Vácha & Miloslav Vošvrda, 2005. "Heterogeneous Agents Model with the Worst Out Algorithm," Working Papers IES 91, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised 2005.
  12. Jan Kodera & Miroslav Vošvrda, 2005. "Production, Capital Stock and Price Dynamics in a Simple Model of Closed Economy," Working Papers IES 93, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised 2005.
  13. Kodera J. & Vosvrda M., 2003. "Dynamics of a Small Open Economy," Computing in Economics and Finance 2003 140, Society for Computational Economics.
  14. Miloslav S. Vosvrda, 2001. "On Economic Model of Cycles," CeNDEF Workshop Papers, January 2001 PO3, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  15. Miloslav S. Vosvrda, 2001. "Bifurcation Routes and Economic Stability," Computing in Economics and Finance 2001 132, Society for Computational Economics.
  16. Kodera Jan & Sladky Karel & Vosvrda Miloslav, "undated". "The Role of Inflation Rate on the Dynamics of an Extended Kaldor Model," Modeling, Computing, and Mastering Complexity 2003 16, Society for Computational Economics.

Articles

  1. Kristoufek, Ladislav & Vosvrda, Miloslav, 2016. "Gold, currencies and market efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 27-34.
  2. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Commodity futures and market efficiency," Energy Economics, Elsevier, vol. 42(C), pages 50-57.
  3. Ladislav Kristoufek & Miloslav Vosvrda, 2014. "Measuring capital market efficiency: long-term memory, fractal dimension and approximate entropy," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 87(7), pages 1-9, July.
  4. Jan Kodera & Quang Van Tran & Miloslav Vošvrda, 2013. "Complex Price Dynamics in the Modified Kaldorian Model," Prague Economic Papers, University of Economics, Prague, vol. 2013(3), pages 358-384.
  5. Kristoufek, Ladislav & Vosvrda, Miloslav, 2013. "Measuring capital market efficiency: Global and local correlations structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 184-193.
  6. Ladislav Krištoufek & Miloslav Vošvrda, 2012. "Efektivita kapitálových trhů: fraktální dimenze, Hurstův exponent a entropie
    [Capital Markets Efficiency: Fractal Dimension, Hurst Exponent and Entropy]
    ," Politická ekonomie, University of Economics, Prague, vol. 2012(2), pages 208-221.
  7. Vacha, Lukas & Barunik, Jozef & Vosvrda, Miloslav, 2012. "How do skilled traders change the structure of the market," International Review of Financial Analysis, Elsevier, vol. 23(C), pages 66-71.
  8. Martin Šmíd & Miloslav Vošvrda, 2012. "Editorial to the Special Issue on Approximation of Stochastic Programming Problems," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 19(30).
  9. Jiri Krtek & Miloslav Vošvrda, 2011. "Comparing Neural Networks and ARMA Models in Artificial Stock Market," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 18(28).
  10. Miloslav Vošvrda, 2010. "Editorial," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 4(3), pages 234-235, November.
  11. Jozef Baruník & Lukáš Vácha & Miloslav Vošvrda, 2010. "Tail Behavior of the Central European Stock Markets during the Financial Crisis," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 4(3), pages 281-294, November.
  12. Barunik, J. & Vosvrda, M., 2009. "Can a stochastic cusp catastrophe model explain stock market crashes?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(10), pages 1824-1836, October.
  13. Lukáš Vácha & Jozef Barunik & Miloslav Vošvrda, 2009. "Smart Agents and Sentiment in the Heterogeneous Agent Model," Prague Economic Papers, University of Economics, Prague, vol. 2009(3), pages 209-219.
  14. Jozef Barunik & Lukas Vacha & Miloslav Vosvrda, 2009. "Smart predictors in the heterogeneous agent model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 163-172, November.
  15. Lukas Vacha & Miloslav Vosvrda, 2008. "Wavelets and Sentiment in the Heterogeneous Agents Model," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 15(25).
  16. Miloslav Vošvrda & Jozef Baruník, 2008. "Modelování krachů na kapitálových trzích: aplikace teorie stochastických katastrof
    [Stock market crashes modeling: stochastic cusp catastrophe application]
    ," Politická ekonomie, University of Economics, Prague, vol. 2008(6), pages 759-771.
  17. Jan Kodera & Miloslav Vošvrda, 2007. "Production, Capital Stock, and Price Level Dynamics in the Light of Kaldorian Model," Acta Oeconomica Pragensia, University of Economics, Prague, vol. 2007(4), pages 79-87.
  18. Miloslav Vošvrda & Lukáš Vácha, 2007. "Heterogeneous Agents Model with the Worst Out Algorithm," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 1(1), pages 54-66, March.
  19. Jan Kodera & Karel Sladký & Miloslav Vošvrda, 2007. "Neokeynesian and Neoclassical Macroeconomic Models: Stability and Lyapunov Experiments," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 1(3), pages 302-311, November.
  20. Jan Kodera & Karel Sladký & Miloslav Vošvrda, 2007. "Neo-Keynesian and Neo-Classical Macroeconomic Models: Stability and Lyapunov Exponents," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 14(24).
  21. Lukáš Vácha & Miloslav Vošvrda, 2007. "Wavelet Decomposition of the Financial Market," Prague Economic Papers, University of Economics, Prague, vol. 2007(1), pages 38-54.
  22. Jan Kodera & Miloslav Vošvrda, 2006. "Produkt, kapitál a cenový pohyb v jednoduchém modelu uzavřené ekonomiky
    [Product, capital stock and price dynamics in a simple model of closed economy]
    ," Politická ekonomie, University of Economics, Prague, vol. 2006(3).
  23. Miloslav Vošvrda, 2006. "Empirical Analysis of Persistence and Dependence Patterns Among the Capital Markets," Prague Economic Papers, University of Economics, Prague, vol. 2006(3), pages 231-242.
  24. Lukáš Vácha & Miloslav S. Vošvrda, 2005. "Dynamical Agents' Strategies and the Fractal Market Hypothesis," Prague Economic Papers, University of Economics, Prague, vol. 2005(2), pages 163-170.
  25. Jan Kodera & Miloslav Vošvrda & Karel Sladký, 2005. "A Small-Open-Economy Model and Endogenous Money Stock," Acta Oeconomica Pragensia, University of Economics, Prague, vol. 2005(1), pages 27-34.
  26. Miloslav Vošvrda & Filip Žikeš, 2004. "An Application of the Garch-t Model on Central European Stock Returns," Prague Economic Papers, University of Economics, Prague, vol. 2004(1), pages 26-39.
  27. Miloslav Vošvrda & Lukáš Vácha, 2003. "Heterogeneous agent model with memory and asset price behaviour," Prague Economic Papers, University of Economics, Prague, vol. 2003(2).
  28. Miloslav Vošvrda & Lukáš Vácha, 2002. "Heterogeneous Agent Model And Numerical Analysis Of Learning," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 9(17).
  29. Miloslav Vošvrda, 2001. "Bifurcation Routes And Economic Stability," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 8(14).
  30. Karel Sladký & Jan Kodera & Miloslav Vošvrda, 1999. "Sensitivity And Stability In Dynamical Economic Systems," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 6(9).
  31. Miloslav Vošvrda, 1999. "Van Der Pol's Equation and an Economic Model of Cycles," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 6(10).
  32. Miloslav Vošvrda & Jan Filáček & Marek Kaplička, 1998. "The Efficient Market Hypothesis Testing on the Prague Stock Exchange," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 5(7).
  33. Miloslav Vošvrda, 1996. "Disequilibrium model applied to the Czech Economy," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 3(4).
  34. Karel Sladký & Miloslav Vošvrda, 1996. "The Speed Of Adjustment and Robust Stability of Macroeconomic Systems," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 3(5).
  35. Miloslav Vošvrda, 1995. "Diferenciální Rovnice a Ekonomické Aplikace," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 2(2).
  36. Miloslav Vošvrda, 1995. "Markovian Model of Unemployment," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 2(3).
  37. Vosvrda, Miloslav S., 1988. "Statistical data analysis by dialogue statistical systems," Computational Statistics & Data Analysis, Elsevier, vol. 6(2), pages 113-117, March.

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. Ladislav Kristoufek & Miloslav Vosvrda, 2015. "Gold, currencies and market efficiency," Papers 1510.08615, arXiv.org.

    Cited by:

    1. Aurelio F. Bariviera & Mar'ia Jos'e Basgall & Waldo Hasperu'e & Marcelo Naiouf, 2017. "Some stylized facts of the Bitcoin market," Papers 1708.04532, arXiv.org.
    2. Ferreira, Paulo & Kristoufek, Ladislav, 2017. "What is new about covered interest parity condition in the European Union? Evidence from fractal cross-correlation regressions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 554-566.
    3. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa B. & Stosic, Tatijana, 2018. "Nonextensive triplets in cryptocurrency exchanges," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 1069-1074.

  2. Ladislav Kristoufek & Miloslav Vosvrda, 2013. "Commodity futures and market efficiency," Papers 1309.1492, arXiv.org.

    Cited by:

    1. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Measuring capital market efficiency: Long-term memory, fractal dimension and approximate entropy," FinMaP-Working Papers 18, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    2. Go, You-How & Lau, Wee-Yeap, 2017. "Investor demand, market efficiency and spot-futures relation: Further evidence from crude palm oil," Resources Policy, Elsevier, vol. 53(C), pages 135-146.
    3. Górska, Anna & Krawiec, Monika, 2017. "Analiza efektywności informacyjnej w formie słabej na rynkach „soft commodities” z wykorzystaniem wybranych testów statystycznych," Problems of World Agriculture / Problemy Rolnictwa Światowego, WydziaÅ‚ Nauk Ekonomicznych, Uniwersytet Warszawski, vol. 0(Number 32), September.
    4. Ladislav Kristoufek & Miloslav Vosvrda, 2015. "Gold, currencies and market efficiency," Papers 1510.08615, arXiv.org.
    5. Sukpitak, Jessada & Hengpunya, Varagorn, 2016. "The influence of trading volume on market efficiency: The DCCA approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 259-265.
    6. Li, Daye & Nishimura, Yusaku & Men, Ming, 2016. "The long memory and the transaction cost in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 312-320.
    7. Liu, Li & Wang, Yudong & Wu, Chongfeng & Wu, Wenfeng, 2016. "Disentangling the determinants of real oil prices," Energy Economics, Elsevier, vol. 56(C), pages 363-373.
    8. Liu, Tie-Ying & Lee, Chien-Chiang, 2018. "Will the energy price bubble burst?," Energy, Elsevier, vol. 150(C), pages 276-288.
    9. Krzysztof Borowski & Malgorzata Lukasik, 2015. "Analysis of Selected Seasonality Effects in the Following Agricultural Markets: Corn, Wheat, Coffee, Cocoa, Sugar, Cotton and Soybeans," Eurasian Journal of Business and Management, Eurasian Publications, vol. 3(2), pages 12-37.
    10. Lya Paola Sierra & Luis Eduardo Girón & Carolina Osorio, 2017. "Has Financialization in Commodity Markets Affected the Predictability in Metal Markets? The Efficient Markets Hypotheses for Metal Returns," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 15-22.
    11. Benedetto, F. & Giunta, G. & Mastroeni, L., 2016. "On the predictability of energy commodity markets by an entropy-based computational method," Energy Economics, Elsevier, vol. 54(C), pages 302-312.
    12. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    13. Nick Taylor, 2017. "Timing Strategy Performance in the Crude Oil Futures Market," Bristol Accounting and Finance Discussion Papers 17/7, School of Economics, Finance, and Management, University of Bristol, UK.
    14. Zunino, Luciano & Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 1-9.
    15. Tokic, Damir, 2015. "The 2014 oil bust: Causes and consequences," Energy Policy, Elsevier, vol. 85(C), pages 162-169.
    16. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.
    17. Teng, Yue & Shang, Pengjian, 2017. "Transfer entropy coefficient: Quantifying level of information flow between financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 60-70.
    18. Manley, Bruce & Niquidet, Kurt, 2017. "How does real option value compare with Faustmann value when log prices follow fractional Brownian motion?," Forest Policy and Economics, Elsevier, vol. 85(P1), pages 76-84.
    19. Delbianco, Fernando & Tohmé, Fernando & Stosic, Tatijana & Stosic, Borko, 2016. "Multifractal behavior of commodity markets: Fuel versus non-fuel products," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 573-580.
    20. Ma, Pengcheng & Li, Daye & Li, Shuo, 2016. "Efficiency and cross-correlation in equity market during global financial crisis: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 163-176.
    21. C. A. Tapia Cortez & J. Coulton & C. Sammut & S. Saydam, 2018. "Determining the chaotic behaviour of copper prices in the long-term using annual price data," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-13, December.
    22. Jebabli, Ikram & Roubaud, David, 2018. "Time-varying efficiency in food and energy markets: Evidence and implications," Economic Modelling, Elsevier, vol. 70(C), pages 97-114.
    23. Sukpitak, Jessada & Hengpunya, Varagorn, 2016. "Efficiency of Thai stock markets: Detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 204-209.
    24. Urquhart, Andrew, 2016. "The inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 148(C), pages 80-82.
    25. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa & Stosic, Tatijana, 2016. "Correlations of multiscale entropy in the FX market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 52-61.
    26. Arık, Evren & Mutlu, Elif, 2014. "Chinese steel market in the post-futures period," Resources Policy, Elsevier, vol. 42(C), pages 10-17.
    27. Ladislav Kristoufek, 2018. "Are the Crude Oil Markets Really Becoming More Efficient over Time? Some New Evidence," Working Papers IES 2018/07, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2018.

  3. Ladislav Kristoufek & Miloslav Vosvrda, 2013. "Measuring capital market efficiency: Long-term memory, fractal dimension and approximate entropy," Papers 1307.3060, arXiv.org, revised May 2014.

    Cited by:

    1. Ladislav Kristoufek & Miloslav Vosvrda, 2015. "Gold, currencies and market efficiency," Papers 1510.08615, arXiv.org.
    2. Sukpitak, Jessada & Hengpunya, Varagorn, 2016. "The influence of trading volume on market efficiency: The DCCA approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 259-265.
    3. Li, Daye & Nishimura, Yusaku & Men, Ming, 2016. "The long memory and the transaction cost in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 312-320.
    4. Li, Daye & Kou, Zhun & Sun, Qiankun, 2015. "The scale-dependent market trend: Empirical evidences using the lagged DFA method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 26-35.
    5. Carmelo Reverte, 2016. "Corporate social responsibility disclosure and market valuation: evidence from Spanish listed firms," Review of Managerial Science, Springer, vol. 10(2), pages 411-435, March.
    6. Carmelo Reverte, 2016. "Corporate social responsibility disclosure and market valuation: evidence from Spanish listed firms," Review of Managerial Science, Springer, vol. 10(2), pages 411-435, March.
    7. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    8. Flavia BARNA & Ştefana Maria DIMA & Bogdan DIMA & Lucian PAŞCA, 2016. "Fractal Market Hypothesis: The Emergent Financial Markets Case," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(2), pages 137-150.
    9. Anagnostidis, P. & Varsakelis, C. & Emmanouilides, C.J., 2016. "Has the 2008 financial crisis affected stock market efficiency? The case of Eurozone," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 116-128.
    10. Zunino, Luciano & Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 1-9.
    11. Auer, Benjamin R., 2016. "On the performance of simple trading rules derived from the fractal dynamics of gold and silver price fluctuations," Finance Research Letters, Elsevier, vol. 16(C), pages 255-267.
    12. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.
    13. Teng, Yue & Shang, Pengjian, 2017. "Transfer entropy coefficient: Quantifying level of information flow between financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 60-70.
    14. Lahmiri, Salim, 2016. "Clustering of Casablanca stock market based on hurst exponent estimates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 310-318.
    15. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa & de Oliveira, Wilson & Stosic, Tatijana, 2016. "Foreign exchange rate entropy evolution during financial crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 233-239.
    16. Ma, Pengcheng & Li, Daye & Li, Shuo, 2016. "Efficiency and cross-correlation in equity market during global financial crisis: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 163-176.
    17. Sukpitak, Jessada & Hengpunya, Varagorn, 2016. "Efficiency of Thai stock markets: Detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 204-209.
    18. Dima, Bogdan & Dima, Ştefana Maria, 2017. "Mutual information and persistence in the stochastic volatility of market returns: An emergent market example," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 36-59.

  4. Ladislav Kristoufek & Miloslav Vosvrda, 2012. "Measuring capital market efficiency: Global and local correlations structure," Papers 1208.1298, arXiv.org.

    Cited by:

    1. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Measuring capital market efficiency: Long-term memory, fractal dimension and approximate entropy," FinMaP-Working Papers 18, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    2. Zhuang, Xiaoyang & Wei, Yu & Ma, Feng, 2015. "Multifractality, efficiency analysis of Chinese stock market and its cross-correlation with WTI crude oil price," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 101-113.
    3. Ladislav Kristoufek & Miloslav Vosvrda, 2015. "Gold, currencies and market efficiency," Papers 1510.08615, arXiv.org.
    4. Sukpitak, Jessada & Hengpunya, Varagorn, 2016. "The influence of trading volume on market efficiency: The DCCA approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 259-265.
    5. Li, Daye & Nishimura, Yusaku & Men, Ming, 2016. "The long memory and the transaction cost in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 312-320.
    6. Benjamin Rainer Auer, 2018. "Are standard asset pricing factors long-range dependent?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(1), pages 66-88, January.
    7. Li, Daye & Kou, Zhun & Sun, Qiankun, 2015. "The scale-dependent market trend: Empirical evidences using the lagged DFA method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 26-35.
    8. Sensoy, Ahmet & Tabak, Benjamin M., 2016. "Dynamic efficiency of stock markets and exchange rates," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 353-371.
    9. Tiwari, Aviral Kumar & Jana, R.K. & Das, Debojyoti & Roubaud, David, 2018. "Informational efficiency of Bitcoin—An extension," Economics Letters, Elsevier, vol. 163(C), pages 106-109.
    10. Jasman Tuyon & Zamri Ahmada, 2016. "Behavioural finance perspectives on Malaysian stock market efficiency," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 16(1), pages 43-61, March.
    11. Anagnostidis, P. & Varsakelis, C. & Emmanouilides, C.J., 2016. "Has the 2008 financial crisis affected stock market efficiency? The case of Eurozone," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 116-128.
    12. Zunino, Luciano & Bariviera, Aurelio F. & Guercio, M. Belén & Martinez, Lisana B. & Rosso, Osvaldo A., 2016. "Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 1-9.
    13. Ma, Feng & Wei, Yu & Huang, Dengshi & Chen, Yixiang, 2014. "Which is the better forecasting model? A comparison between HAR-RV and multifractality volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 171-180.
    14. Shahzad, Syed Jawad Hussain & Hernandez, Jose Areola & Hanif, Waqas & Kayani, Ghulam Mujtaba, 2018. "Intraday return inefficiency and long memory in the volatilities of forex markets and the role of trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 433-450.
    15. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.
    16. Rui Pascoal & Ana Margarida Monteiro, 2013. "Market Efficiency, Roughness and Long Memory in the PSI20 Index Returns: Wavelet and Entropy Analysis," GEMF Working Papers 2013-27, GEMF, Faculty of Economics, University of Coimbra.
    17. Lahmiri, Salim, 2016. "Clustering of Casablanca stock market based on hurst exponent estimates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 310-318.
    18. Ferreira, Paulo, 2018. "Long-range dependencies of Eastern European stock markets: A dynamic detrended analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 454-470.
    19. Auer, Benjamin R., 2016. "On time-varying predictability of emerging stock market returns," Emerging Markets Review, Elsevier, vol. 27(C), pages 1-13.
    20. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Commodity futures and market efficiency," Energy Economics, Elsevier, vol. 42(C), pages 50-57.
    21. Ma, Pengcheng & Li, Daye & Li, Shuo, 2016. "Efficiency and cross-correlation in equity market during global financial crisis: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 163-176.
    22. Jebabli, Ikram & Roubaud, David, 2018. "Time-varying efficiency in food and energy markets: Evidence and implications," Economic Modelling, Elsevier, vol. 70(C), pages 97-114.
    23. Todea, Alexandru & Pleşoianu, Anita, 2013. "The influence of foreign portfolio investment on informational efficiency: Empirical evidence from Central and Eastern European stock markets," Economic Modelling, Elsevier, vol. 33(C), pages 34-41.
    24. Sukpitak, Jessada & Hengpunya, Varagorn, 2016. "Efficiency of Thai stock markets: Detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 204-209.
    25. Dima, Bogdan & Dima, Ştefana Maria, 2017. "Mutual information and persistence in the stochastic volatility of market returns: An emergent market example," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 36-59.
    26. Ferreira, Paulo, 2018. "Efficiency or speculation? A time-varying analysis of European sovereign debt," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1295-1308.

  5. Miloslav Vošvrda & Jan Kodera, 2007. "Goodwin's Predator-Prey Model with Endogenous Technological Progress," Working Papers IES 2007/09, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2007.

    Cited by:

    1. Alexander Lipton, 2015. "Modern Monetary Circuit Theory, Stability of Interconnected Banking Network, and Balance Sheet Optimization for Individual Banks," Papers 1510.07608, arXiv.org.
    2. Alexander Lipton, 2016. "Modern Monetary Circuit Theory, Stability Of Interconnected Banking Network, And Balance Sheet Optimization For Individual Banks," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(06), pages 1-57, September.
    3. N. J. Moura Jr & Marcelo B. Ribeiro, 2013. "Testing the Goodwin growth-cycle macroeconomic dynamics in Brazil," Papers 1301.1090, arXiv.org, revised Jan 2013.

  6. Jan Kodera & Karel Sladký & Miloslav Vošvrda, 2006. "Neo-Keynesian and Neo-Classical Macroeconomic Models: Stability and Lyapunov Exponents," Working Papers IES 2006/10, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2006.

    Cited by:

    1. Jan KODERA & Tran Van Quang, 2017. "A Simple Open Economy Model: A Non-Linear Dynamic Approach," European Financial and Accounting Journal, University of Economics, Prague, vol. 2017(1), pages 19-34.

  7. Miloslav S. Vosvrda, 2001. "Bifurcation Routes and Economic Stability," Computing in Economics and Finance 2001 132, Society for Computational Economics.

    Cited by:

    1. Author Miloslav, 2001. "Bifurcation Routes in Financial Markets," Finance 0109001, University Library of Munich, Germany.
    2. Andrei Silviu DOSPINESCU, 2012. "The Behavior Of Prices As A Response To Structural Changes - The Role Of The Economic Transmission Mechanisms In Explaining The Observed Behavior," Romanian Journal of Economics, Institute of National Economy, vol. 35(2(44)), pages 201-217, December.

Articles

  1. Kristoufek, Ladislav & Vosvrda, Miloslav, 2016. "Gold, currencies and market efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 27-34.
    See citations under working paper version above.
  2. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Commodity futures and market efficiency," Energy Economics, Elsevier, vol. 42(C), pages 50-57.
    See citations under working paper version above.
  3. Ladislav Kristoufek & Miloslav Vosvrda, 2014. "Measuring capital market efficiency: long-term memory, fractal dimension and approximate entropy," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 87(7), pages 1-9, July.
    See citations under working paper version above.
  4. Kristoufek, Ladislav & Vosvrda, Miloslav, 2013. "Measuring capital market efficiency: Global and local correlations structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 184-193.
    See citations under working paper version above.
  5. Ladislav Krištoufek & Miloslav Vošvrda, 2012. "Efektivita kapitálových trhů: fraktální dimenze, Hurstův exponent a entropie
    [Capital Markets Efficiency: Fractal Dimension, Hurst Exponent and Entropy]
    ," Politická ekonomie, University of Economics, Prague, vol. 2012(2), pages 208-221.

    Cited by:

    1. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Measuring capital market efficiency: Long-term memory, fractal dimension and approximate entropy," FinMaP-Working Papers 18, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    2. Jan Hanousek & Evžen Kočenda & Jan Novotný, 2016. "Shluková analýza skoků na kapitálových trzích
      [Cluster Analysis of Jumps on Capital Markets]
      ," Politická ekonomie, University of Economics, Prague, vol. 2016(2), pages 127-144.

  6. Vacha, Lukas & Barunik, Jozef & Vosvrda, Miloslav, 2012. "How do skilled traders change the structure of the market," International Review of Financial Analysis, Elsevier, vol. 23(C), pages 66-71.

    Cited by:

    1. Kukacka, Jiri & Barunik, Jozef, 2016. "Estimation of financial agent-based models with simulated maximum likelihood," FinMaP-Working Papers 63, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    2. Kukacka, Jiri & Barunik, Jozef, 2013. "Behavioural breaks in the heterogeneous agent model: The impact of herding, overconfidence, and market sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5920-5938.

  7. Barunik, J. & Vosvrda, M., 2009. "Can a stochastic cusp catastrophe model explain stock market crashes?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(10), pages 1824-1836, October.

    Cited by:

    1. Chiarella, Carl & He, Xue-Zhong & Zheng, Min, 2011. "An analysis of the effect of noise in a heterogeneous agent financial market model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 148-162, January.
    2. Kukacka, Jiri & Barunik, Jozef, 2016. "Estimation of financial agent-based models with simulated maximum likelihood," FinMaP-Working Papers 63, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    3. Xu, Yan & Hu, Bin & Wu, Jiang & Zhang, Jianhua, 2014. "Nonlinear analysis of the cooperation of strategic alliances through stochastic catastrophe theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 100-108.

  8. Lukáš Vácha & Jozef Barunik & Miloslav Vošvrda, 2009. "Smart Agents and Sentiment in the Heterogeneous Agent Model," Prague Economic Papers, University of Economics, Prague, vol. 2009(3), pages 209-219.

    Cited by:

    1. Kukacka, Jiri & Barunik, Jozef, 2013. "Behavioural breaks in the heterogeneous agent model: The impact of herding, overconfidence, and market sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5920-5938.

  9. Jozef Barunik & Lukas Vacha & Miloslav Vosvrda, 2009. "Smart predictors in the heterogeneous agent model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 163-172, November.

    Cited by:

    1. Kukacka, Jiri & Barunik, Jozef, 2016. "Estimation of financial agent-based models with simulated maximum likelihood," FinMaP-Working Papers 63, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    2. Gao-Feng Gu & Xiong Xiong & Hai-Chuan Xu & Wei Zhang & Yong-Jie Zhang & Wei Chen & Wei-Xing Zhou, 2017. "An empirical behavioural order-driven model with price limit rules," Papers 1704.04354, arXiv.org.
    3. Kukacka, Jiri & Barunik, Jozef, 2013. "Behavioural breaks in the heterogeneous agent model: The impact of herding, overconfidence, and market sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5920-5938.
    4. Vacha, Lukas & Barunik, Jozef & Vosvrda, Miloslav, 2012. "How do skilled traders change the structure of the market," International Review of Financial Analysis, Elsevier, vol. 23(C), pages 66-71.

  10. Lukas Vacha & Miloslav Vosvrda, 2008. "Wavelets and Sentiment in the Heterogeneous Agents Model," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 15(25).

    Cited by:

    1. Kukacka, Jiri & Barunik, Jozef, 2013. "Behavioural breaks in the heterogeneous agent model: The impact of herding, overconfidence, and market sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5920-5938.

  11. Jan Kodera & Karel Sladký & Miloslav Vošvrda, 2007. "Neo-Keynesian and Neo-Classical Macroeconomic Models: Stability and Lyapunov Exponents," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 14(24).
    See citations under working paper version above.
  12. Lukáš Vácha & Miloslav Vošvrda, 2007. "Wavelet Decomposition of the Financial Market," Prague Economic Papers, University of Economics, Prague, vol. 2007(1), pages 38-54.

    Cited by:

    1. Lukáš Vácha & Jozef Barunik & Miloslav Vošvrda, 2009. "Smart Agents and Sentiment in the Heterogeneous Agent Model," Prague Economic Papers, University of Economics, Prague, vol. 2009(3), pages 209-219.
    2. Jozef Barunik & Lukas Vacha & Miloslav Vosvrda, 2009. "Smart predictors in the heterogeneous agent model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 163-172, November.

  13. Miloslav Vošvrda, 2006. "Empirical Analysis of Persistence and Dependence Patterns Among the Capital Markets," Prague Economic Papers, University of Economics, Prague, vol. 2006(3), pages 231-242.

    Cited by:

    1. Michał Markun & Anna Mospan, 2015. "Stationarity and persistence of the term premia in the Polish money market," NBP Working Papers 227, Narodowy Bank Polski, Economic Research Department.

  14. Lukáš Vácha & Miloslav S. Vošvrda, 2005. "Dynamical Agents' Strategies and the Fractal Market Hypothesis," Prague Economic Papers, University of Economics, Prague, vol. 2005(2), pages 163-170.

    Cited by:

    1. Lukáš Vácha & Miloslav Vošvrda, 2006. "Wavelet Applications to Heterogeneous Agents Model," Working Papers IES 2006/21, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2006.
    2. Sobolev, Daphne, 2017. "The effect of price volatility on judgmental forecasts: The correlated response model," International Journal of Forecasting, Elsevier, vol. 33(3), pages 605-617.
    3. Kostanjcar, Zvonko & Jeren, Branko & Juretic, Zeljan, 2012. "Impact of uncertainty in expected return estimation on stock price volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5563-5571.
    4. Lukáš Vácha & Miloslav Vošvrda, 2005. "Heterogeneous Agents Model with the Worst Out Algorithm," Working Papers IES 91, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised 2005.
    5. Lukáš Vácha & Miloslav Vošvrda, 2007. "Wavelet Decomposition of the Financial Market," Prague Economic Papers, University of Economics, Prague, vol. 2007(1), pages 38-54.
    6. Jozef Barunik & Lukas Vacha & Miloslav Vosvrda, 2009. "Smart predictors in the heterogeneous agent model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 163-172, November.

  15. Miloslav Vošvrda & Filip Žikeš, 2004. "An Application of the Garch-t Model on Central European Stock Returns," Prague Economic Papers, University of Economics, Prague, vol. 2004(1), pages 26-39.

    Cited by:

    1. Krzysztof DRACHAL, 2017. "Volatility Clustering, Leverage Effects and Risk-Return Tradeoff in the Selected Stock Markets in the CEE Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 37-53, September.

  16. Miloslav Vošvrda & Lukáš Vácha, 2003. "Heterogeneous agent model with memory and asset price behaviour," Prague Economic Papers, University of Economics, Prague, vol. 2003(2).

    Cited by:

    1. Lukáš Vácha & Jozef Barunik & Miloslav Vošvrda, 2009. "Smart Agents and Sentiment in the Heterogeneous Agent Model," Prague Economic Papers, University of Economics, Prague, vol. 2009(3), pages 209-219.
    2. Lukáš Vácha & Miloslav Vošvrda, 2007. "Wavelet Decomposition of the Financial Market," Prague Economic Papers, University of Economics, Prague, vol. 2007(1), pages 38-54.
    3. Jozef Barunik & Lukas Vacha & Miloslav Vosvrda, 2009. "Smart predictors in the heterogeneous agent model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 163-172, November.

  17. Miloslav Vošvrda & Lukáš Vácha, 2002. "Heterogeneous Agent Model And Numerical Analysis Of Learning," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 9(17).

    Cited by:

    1. Lukáš Vácha & Jozef Barunik & Miloslav Vošvrda, 2009. "Smart Agents and Sentiment in the Heterogeneous Agent Model," Prague Economic Papers, University of Economics, Prague, vol. 2009(3), pages 209-219.
    2. Lukáš Vácha & Miloslav Vošvrda, 2006. "Wavelet Applications to Heterogeneous Agents Model," Working Papers IES 2006/21, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2006.
    3. Lukáš Vácha & Miloslav Vošvrda, 2007. "Wavelet Decomposition of the Financial Market," Prague Economic Papers, University of Economics, Prague, vol. 2007(1), pages 38-54.
    4. Jozef Barunik & Lukas Vacha & Miloslav Vosvrda, 2009. "Smart predictors in the heterogeneous agent model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 163-172, November.

  18. Miloslav Vošvrda, 2001. "Bifurcation Routes And Economic Stability," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 8(14).
    See citations under working paper version above.
  19. Karel Sladký & Jan Kodera & Miloslav Vošvrda, 1999. "Sensitivity And Stability In Dynamical Economic Systems," Bulletin of the Czech Econometric Society, The Czech Econometric Society, vol. 6(9).

    Cited by:

    1. Author Miloslav, 2001. "Bifurcation Routes in Financial Markets," Finance 0109001, University Library of Munich, Germany.

More information

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Statistics

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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 14 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-MAC: Macroeconomics (5) 2003-07-21 2005-11-19 2006-12-09 2006-12-09 2007-02-17. Author is listed
  2. NEP-CMP: Computational Economics (3) 2006-12-09 2006-12-09 2017-07-23
  3. NEP-CBA: Central Banking (2) 2006-12-09 2006-12-09
  4. NEP-FMK: Financial Markets (2) 2013-07-15 2014-12-19
  5. NEP-AGR: Agricultural Economics (1) 2013-09-28
  6. NEP-EEC: European Economics (1) 2010-04-11
  7. NEP-MON: Monetary Economics (1) 2015-11-01
  8. NEP-RMG: Risk Management (1) 2010-04-11
  9. NEP-TRA: Transition Economics (1) 2010-04-11

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