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Andreia Dionisio

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. Andreia Teixeira Marques Dionísio & Paulo Jorge Silveira Ferreira, 2014. "Why does the Euro fail? The DCCA approach," CEFAGE-UE Working Papers 2014_15, University of Evora, CEFAGE-UE (Portugal).

    Cited by:

    1. Li, Jianxuan & Shi, Yingying & Cao, Guangxi, 2018. "Topology structure based on detrended cross-correlation coefficient of exchange rate network of the belt and road countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1140-1151.
    2. Faheem Aslam & Paulo Ferreira & Haider Ali & Ana Ercília José, 2022. "Application of Multifractal Analysis in Estimating the Reaction of Energy Markets to Geopolitical Acts and Threats," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    3. Oussama Tilfani & Paulo Ferreira & My Youssef El Boukfaoui, 2021. "Dynamic cross-correlation and dynamic contagion of stock markets: a sliding windows approach with the DCCA correlation coefficient," Empirical Economics, Springer, vol. 60(3), pages 1127-1156, March.
    4. Ferreira, Paulo & Kristoufek, Ladislav, 2020. "Uncovered interest rate parity through the lens of fractal methods: Evidence from the European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
    5. Paulo Ferreira, 2017. "Portuguese and Brazilian stock market integration: a non-linear and detrended approach," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(1), pages 49-63, April.
    6. Guedes, E.F. & Ferreira, Paulo & Dionísio, Andreia & Zebende, G.F., 2019. "An econophysics approach to study the effect of BREXIT referendum on European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1175-1182.
    7. Miśkiewicz, Janusz & Tadla, Adrian & Trela, Zenon, 2019. "Does the monetary policy influenced cross-correlations on the main world stocks markets? Power Law Classification Scheme analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 72-81.
    8. Paulo Ferreira & Éder Pereira, 2019. "The impact of the Brexit referendum on British and European Union bank shares: a cross-correlation analysis with national indices," Economics Bulletin, AccessEcon, vol. 39(1), pages 335-346.
    9. Mirdala, Rajmund & Ruščáková, Anna, 2015. "On Origins and Implications of the Sovereign Debt Crisis in the Euro Area," MPRA Paper 68859, University Library of Munich, Germany.
    10. Guedes, E.F. & Brito, A.A. & Oliveira Filho, F.M. & Fernandez, B.F. & de Castro, A.P.N. & da Silva Filho, A.M. & Zebende, G.F., 2018. "Statistical test for ΔρDCCA cross-correlation coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 134-140.
    11. Ferreira, Paulo, 2016. "Does the Euro crisis change the cross-correlation pattern between bank shares and national indexes?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 320-329.
    12. Mingbo Zheng & Gen-Fu Feng & Xinxin Zhao & Chun-Ping Chang, 2023. "The transaction behavior of cryptocurrency and electricity consumption," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-18, December.
    13. Guedes, E. & Dionísio, A. & Ferreira, P.J. & Zebende, G.F., 2017. "DCCA cross-correlation in blue-chips companies: A view of the 2008 financial crisis in the Eurozone," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 38-47.
    14. da Silva Filho, A.M. & Zebende, G.F. & de Castro, A.P.N. & Guedes, E.F., 2021. "Statistical test for Multiple Detrended Cross-Correlation Coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    15. Chen, Yingyuan & Cai, Lihui & Wang, Ruofan & Song, Zhenxi & Deng, Bin & Wang, Jiang & Yu, Haitao, 2018. "DCCA cross-correlation coefficients reveals the change of both synchronization and oscillation in EEG of Alzheimer disease patients," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 171-184.
    16. Polanco-Martínez, J.M. & Fernández-Macho, J. & Neumann, M.B. & Faria, S.H., 2018. "A pre-crisis vs. crisis analysis of peripheral EU stock markets by means of wavelet transform and a nonlinear causality test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1211-1227.
    17. Wang, Zhongxing & Yan, Yan & Chen, Xiaosong, 2017. "Long-range correlation and market segmentation in bond market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 477-485.

  2. Andreia Teixeira Marques Dionísio, 2013. "Effect of the container terminal characteristics on performance," CEFAGE-UE Working Papers 2013_13, University of Evora, CEFAGE-UE (Portugal).

    Cited by:

    1. Ferreira, Diogo Cunha & Marques, Rui Cunha & Pedro, Maria Isabel, 2018. "Explanatory variables driving the technical efficiency of European seaports: An order-α approach dealing with imperfect knowledge," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 41-62.
    2. Andreia Teixeira Marques Dionísio, 2013. "The container terminal characteristics and customer’s satisfaction," CEFAGE-UE Working Papers 2013_14, University of Evora, CEFAGE-UE (Portugal).

  3. Luís Alberto Godinho Coelho & Andreia Teixeira Marques Dionísio & Cesaltina Maria Pacheco Pires, 2010. "GME versus OLS - Which is the best to estimate utility functions?," CEFAGE-UE Working Papers 2010_02, University of Evora, CEFAGE-UE (Portugal).

    Cited by:

    1. Maria Leonor Pimenta Marques Verdete da Silva Carvalho & Rui Manuel de Sousa Fragoso, 2011. "Estimation of Cost Allocation Coefficients at the Farm Level Using an Entropy Approach," CEFAGE-UE Working Papers 2011_21, University of Evora, CEFAGE-UE (Portugal).

  4. Andreia Teixeira Marques Dionísio, 2010. "On the globalization of stock markets: An application of VECM, SSA technique and mutual information to the G7?," CEFAGE-UE Working Papers 2010_06, University of Evora, CEFAGE-UE (Portugal).

    Cited by:

    1. Marco Corazza & Elisa Scalco, 2015. "Verifying the R�nyi dependence axioms for a non-linear bivariate comovement index," Working Papers 2015:11, Department of Economics, University of Venice "Ca' Foscari".
    2. Jinggang Guo & Craig M.T. Johnston, 2020. "Do Protectionist Trade Policies Integrate Domestic Markets? Evidence from the Canada-U.S. Softwood Lumber Dispute," Staff Working Papers 20-10, Bank of Canada.
    3. Abu Bakar, Norhidayah & Masih, Abul Mansur M., 2014. "The Dynamic Linkages between Islamic Index and the Major Stock Markets: New Evidence from Wavelet time-scale decomposition Analysis," MPRA Paper 56977, University Library of Munich, Germany.
    4. Paulo Jorge Silveira Ferreira, 2012. "Testing serial dependence in the stock markets of the G7 countries, Portugal, Spain and Greece," CEFAGE-UE Working Papers 2012_24, University of Evora, CEFAGE-UE (Portugal).

  5. Andreia Teixeira Marques Dionísio & Paulo Jorge Silveira Ferreira, 2008. "Voters’ dissatisfaction, abstention and entropy: analysis in European countries," CEFAGE-UE Working Papers 2008_11, University of Evora, CEFAGE-UE (Portugal).

    Cited by:

    1. C. Schinckus, 2012. "Methodological comment on Econophysics review I and II: statistical econophysics and agent-based econophysics," Quantitative Finance, Taylor & Francis Journals, vol. 12(8), pages 1189-1192, June.

  6. Andreia Dionisio & Rui Menezes & Diana A. Mendes, 2007. "Entropy and Uncertainty Analysis in Financial Markets," Papers 0709.0668, arXiv.org.

    Cited by:

    1. Claudiu Vințe & Marcel Ausloos, 2023. "Portfolio Volatility Estimation Relative to Stock Market Cross-Sectional Intrinsic Entropy," JRFM, MDPI, vol. 16(2), pages 1-24, February.
    2. Olivier Brandouy & Jean-Paul Delahaye & Lin Ma & Hector Zenil, 2012. "Algorithmic Complexity of Financial Motions," ASSRU Discussion Papers 1204, ASSRU - Algorithmic Social Science Research Unit.
    3. Luckshay Batra & Harish Chander Taneja, 2022. "Comparison between Information Theoretic Measures to Assess Financial Markets," FinTech, MDPI, vol. 1(2), pages 1-18, May.
    4. Zahra Sadat Hosseini & Mahnoosh Moghaddasi & Shahla Paimozd, 2023. "Simultaneous Monitoring of Different Drought Types Using Linear and Nonlinear Combination Approaches," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1125-1151, February.
    5. Olivier Brandouy & Jean-Paul Delahaye & Lin Ma, 2015. "Estimating the Algorithmic Complexity of Stock Markets," Papers 1504.04296, arXiv.org.
    6. Nurbanu Bursa & Gamze Özel Kadýlar, 2016. "Investigation of Turkey Credit Default Swaps with Entropy Concept," Eurasian Eononometrics, Statistics and Emprical Economics Journal, Eurasian Academy Of Sciences, vol. 3(3), pages 23-32, January.

  7. Andreia Dionisio & A. Heitor Reis, 2007. "Utility function estimation: the entropy approach," Papers 0709.0591, arXiv.org.

    Cited by:

    1. Luca Zanin, 2021. "On the estimation of Okun’s coefficient in some countries in Latin America: a comparison between OLS and GME estimators," Empirical Economics, Springer, vol. 60(3), pages 1575-1592, March.
    2. A. B. Leoneti & G. A. Prataviera, 2020. "Entropy-Norm space for geometric selection of strict Nash equilibria in n-person games," Papers 2003.09225, arXiv.org.
    3. Leoneti, A.B. & Prataviera, G.A., 2020. "Entropy-norm space for geometric selection of strict Nash equilibria in n-person games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 546(C).
    4. Matsushita, Raul & Brandão, Helena & Nobre, Iuri & Da Silva, Sergio, 2024. "Differential entropy estimation with a Paretian kernel: Tail heaviness and smoothing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 646(C).

  8. Andreia Dionisio & Rui Menezes & Diana A. Mendes, 2006. "On the integrated behaviour of non-stationary volatility in stock markets," Papers cond-mat/0607478, arXiv.org.

    Cited by:

    1. González-Pla, Francisco & Lovreta, Lidija, 2019. "Persistence in firm’s asset and equity volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    2. Rui Menezes & Sonia Bentes, 2016. "Hysteresis and Duration Dependence of Financial Crises in the US: Evidence from 1871-2016," Papers 1610.00259, arXiv.org.
    3. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Contemporaneous aggregation and long-memory property of returns and volatility in the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4844-4854.
    4. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2010. "Long memory volatility in Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(7), pages 1425-1433.
    5. Kang, Sang Hoon & Yoon, Seong-Min, 2007. "Long memory properties in return and volatility: Evidence from the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(2), pages 591-600.
    6. Fernández-Macho, Javier, 2012. "Wavelet multiple correlation and cross-correlation: A multiscale analysis of Eurozone stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1097-1104.
    7. Polanco-Martínez, J.M. & Fernández-Macho, J. & Neumann, M.B. & Faria, S.H., 2018. "A pre-crisis vs. crisis analysis of peripheral EU stock markets by means of wavelet transform and a nonlinear causality test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1211-1227.
    8. Kang, Sang Hoon & Cho, Hwan-Gue & Yoon, Seong-Min, 2009. "Modeling sudden volatility changes: Evidence from Japanese and Korean stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3543-3550.

  9. Andreia Dionisio & Rui Menezes & Diana A. Mendes, 2005. "An econophysics approach to analyse uncertainty in financial markets: an application to the Portuguese stock market," Papers physics/0509250, arXiv.org, revised Sep 2005.

    Cited by:

    1. Andrey Shternshis & Piero Mazzarisi & Stefano Marmi, 2022. "Efficiency of the Moscow Stock Exchange before 2022," Papers 2207.10476, arXiv.org, revised Jul 2022.
    2. Nathan Lassance & Frédéric Vrins, 2019. "Minimum Rényi entropy portfolios," LIDAM Reprints CORE 3062, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Andrey Shternshis & Stefano Marmi, 2023. "Price predictability at ultra-high frequency: Entropy-based randomness test," Papers 2312.16637, arXiv.org, revised May 2024.
    4. Olivier Brandouy & Jean-Paul Delahaye & Lin Ma & Hector Zenil, 2012. "Algorithmic Complexity of Financial Motions," ASSRU Discussion Papers 1204, ASSRU - Algorithmic Social Science Research Unit.
    5. Daniel Chiew & Judy Qiu & Sirimon Treepongkaruna & Jiping Yang & Chenxiao Shi, 2019. "The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-22, April.
    6. Sandhya Devi, 2019. "Financial Portfolios based on Tsallis Relative Entropy as the Risk Measure," Papers 1901.04945, arXiv.org, revised Mar 2019.
    7. Mihály Ormos & Dávid Zibriczky, 2014. "Entropy-Based Financial Asset Pricing," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-21, December.
    8. Busu, Cristian & Busu, Mihail, 2019. "Modeling the predictive power of the singular value decomposition-based entropy. Empirical evidence from the Dow Jones Global Titans 50 Index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    9. Sandhya Devi & Sherman Page, 2022. "Tsallis Relative entropy from asymmetric distributions as a risk measure for financial portfolios," Papers 2205.13625, arXiv.org.
    10. Ferreira, Paulo, 2015. "Entropy, competitiveness and UEFA football ranking," MPRA Paper 63132, University Library of Munich, Germany.
    11. Dora Almeida & Andreia Dionísio & Isabel Vieira & Paulo Ferreira, 2022. "Uncertainty and Risk in the Cryptocurrency Market," JRFM, MDPI, vol. 15(11), pages 1-17, November.
    12. 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.
    13. Shternshis, Andrey & Mazzarisi, Piero & Marmi, Stefano, 2022. "Measuring market efficiency: The Shannon entropy of high-frequency financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    14. Zunino, Luciano & Zanin, Massimiliano & Tabak, Benjamin M. & Pérez, Darío G. & Rosso, Osvaldo A., 2010. "Complexity-entropy causality plane: A useful approach to quantify the stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(9), pages 1891-1901.
    15. Harshit Mishra & Parama Barai, 2024. "Entropy Augmented Asset Pricing Model: Study on Indian Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(1), pages 81-99, March.
    16. Liang, Yingjie & Chen, Wen, 2015. "A cumulative entropy method for distribution recognition of model error," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 729-735.
    17. Devi, Sandhya, 2018. "Financial Portfolios based on Tsallis Relative Entropy as the Risk Measure," MPRA Paper 91614, University Library of Munich, Germany.
    18. Christophe Schinckus, 2011. "What can econophysics contribute to financial economics?," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 58(2), pages 147-163, June.
    19. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.
    20. Noe Rodriguez-Rodriguez & Octavio Miramontes, 2022. "Shannon entropy: an econophysical approach to cryptocurrency portfolios," Papers 2210.02633, arXiv.org.
    21. Monaco, Andrea & Ghio, Matteo & Perrotta, Adamaria, 2024. "Wealth dynamics in a multi-aggregate closed monetary system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 646(C).
    22. Grilli, Luca & Santoro, Domenico, 2020. "Boltzmann Entropy in Cryptocurrencies: A Statistical Ensemble Based Approach," MPRA Paper 99591, University Library of Munich, Germany.
    23. Wang, Yu & Shang, Pengjian, 2020. "Complexity analysis of time series based on generalized fractional order cumulative residual distribution entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    24. Schinckus, Christophe, 2009. "Economic uncertainty and econophysics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(20), pages 4415-4423.

  10. Andreia Dionisio & Rui Menezes & Diana A. Mendes, 2003. "Mutual information: a dependence measure for nonlinear time series," Econometrics 0311003, University Library of Munich, Germany.

    Cited by:

    1. E. M. S. Ribeiro & G. A. Prataviera, 2014. "Information theoretic approach for accounting classification," Papers 1401.2954, arXiv.org, revised Sep 2014.
    2. Menezes, Rui & Dionísio, Andreia & Hassani, Hossein, 2012. "On the globalization of stock markets: An application of Vector Error Correction Model, Mutual Information and Singular Spectrum Analysis to the G7 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(4), pages 369-384.
    3. Witold Orzeszko, 2010. "Measuring Nonlinear Serial Dependencies Using the Mutual Information Coefficient," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 10, pages 97-106.
    4. Ribeiro, E.M.S. & Prataviera, G.A., 2014. "Information theoretic approach for accounting classification," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 651-660.
    5. Chunxia, Yang & Xueshuai, Zhu & Luoluo, Jiang & Sen, Hu & He, Li, 2016. "Study on the contagion among American industries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 601-612.
    6. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas Pérez-Iñigo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi, November.
    7. Akimitsu Inoue, 2016. "Density estimation based on pointwise mutual information," Economics Bulletin, AccessEcon, vol. 36(2), pages 1138-1148.
    8. Andreia Teixeira Marques Dionísio, 2010. "On the globalization of stock markets: An application of VECM, SSA technique and mutual information to the G7?," CEFAGE-UE Working Papers 2010_06, University of Evora, CEFAGE-UE (Portugal).
    9. Kun Zhang & Laiwan Chan, 2009. "Efficient factor GARCH models and factor-DCC models," Quantitative Finance, Taylor & Francis Journals, vol. 9(1), pages 71-91.

Articles

  1. Oussama Tilfani & Paulo Ferreira & Andreia Dionisio & My Youssef El Boukfaoui, 2020. "EU Stock Markets vs. Germany, UK and US: Analysis of Dynamic Comovements Using Time-Varying DCCA Correlation Coefficients," JRFM, MDPI, vol. 13(5), pages 1-23, May.

    Cited by:

    1. Vasile Brătian & Ana-Maria Acu & Diana Marieta Mihaiu & Radu-Alexandru Șerban, 2022. "Geometric Brownian Motion (GBM) of Stock Indexes and Financial Market Uncertainty in the Context of Non-Crisis and Financial Crisis Scenarios," Mathematics, MDPI, vol. 10(3), pages 1-23, January.
    2. Anca Ioana Iacob (Troto) & Mircea Laurentiu Simion, 2022. "An Empirical Study On The Long-Term Behavior Of The German Stock Market," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 70-76, December.
    3. Wael Hemrit & Noureddine Benlagha & Racha Ben Arous & Mounira Ben Arab, 2023. "Exploring the time‐frequency connectedness among non‐fungible tokens and developed stock markets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(4), pages 192-207, October.
    4. Derick Quintino & Cristiane Ogino & Inzamam Ul Haq & Paulo Ferreira & Márcia Oliveira, 2023. "An Analysis of Dynamic Correlations among Oil, Natural Gas and Ethanol Markets: New Evidence from the Pre- and Post-COVID-19 Crisis," Energies, MDPI, vol. 16(5), pages 1-14, February.
    5. Rachana Baid & Cristi Spulbar & Jatin Trivedi & Ramona Birau & Anca Ioana Iacob (Troto), 2022. "Estimating Volatility Clustering Using Gjr-Garch Model: A Case Study For German Stock Market," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 4-10, December.
    6. Derick David Quintino & Heloisa Lee Burnquist & Paulo Jorge Silveira Ferreira, 2021. "Carbon Emissions and Brazilian Ethanol Prices: Are They Correlated? An Econophysics Study," Sustainability, MDPI, vol. 13(22), pages 1-18, November.

  2. Wahbeeah Mohti & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2019. "Frontier markets’ efficiency: mutual information and detrended fluctuation analyses," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 551-572, September.

    Cited by:

    1. Faheem Aslam & Wahbeeah Mohti & Paulo Ferreira, 2020. "Evidence of Intraday Multifractality in European Stock Markets during the Recent Coronavirus (COVID-19) Outbreak," IJFS, MDPI, vol. 8(2), pages 1-13, May.
    2. Choi, Sun-Yong, 2021. "Analysis of stock market efficiency during crisis periods in the US stock market: Differences between the global financial crisis and COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    3. Xianbo Wu & Xiaofeng Hui, 2021. "Economic Dependence Relationship and the Coordinated & Sustainable Development among the Provinces in the Yellow River Economic Belt of China," Sustainability, MDPI, vol. 13(10), pages 1-15, May.
    4. Mohammad Arashi & Mohammad Mahdi Rounaghi, 2022. "Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model," Future Business Journal, Springer, vol. 8(1), pages 1-12, December.

  3. Dias, Rui & da Silva, Jacinto Vidigal & Dionísio, Andreia, 2019. "Financial markets of the LAC region: Does the crisis influence the financial integration?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 160-173.

    Cited by:

    1. Donadelli, M. & Gufler, I. & Paradiso, A., 2024. "Financial market integration: A complex and controversial journey," International Review of Financial Analysis, Elsevier, vol. 92(C).
    2. Lukanima, Benedicto Kulwizira & Sanchez-Barrios, Luis Javier & Gómez-Bravo, Yuli Paola, 2024. "Towards understanding MILA stock markets integration beyond MILA: New evidence between the pre-Global financial crisis and the COVID19 periods," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 478-497.
    3. à ureo Manuel & Rui Dias & Rosa Galvão & Miguel Varela, 2024. "Analysing Financial Market Integration between Stock and Precious Metals Indices," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 222-238, July.
    4. Mukhriz Izraf Azman Aziz & Norzalina Ahmad & Jin Zichu & Safwan Mohd Nor, 2022. "The Impact of COVID-19 on the Connectedness of Stock Index in ASEAN+3 Economies," Mathematics, MDPI, vol. 10(9), pages 1-22, April.
    5. He, Hongbo & Chen, Yiqing & Wan, Hong & Yao, Shujie, 2023. "Possibility versus feasibility: International portfolio diversification under financial liberalization," International Review of Financial Analysis, Elsevier, vol. 87(C).
    6. Patel, Ritesh & Goodell, John W. & Oriani, Marco Ercole & Paltrinieri, Andrea & Yarovaya, Larisa, 2022. "A bibliometric review of financial market integration literature," International Review of Financial Analysis, Elsevier, vol. 80(C).
    7. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    8. Hadhri, Sinda, 2023. "News-based economic policy uncertainty and financial contagion: An international evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 63-76.
    9. Thiago Pires Santana & Nicole Horta & Catarina Revez & Rui Manuel Teixeira Santos Dias & Gilney Figueira Zebende, 2023. "Effects of Interdependence and Contagion on Crude Oil and Precious Metals According to ρ DCCA : A COVID-19 Case Study," Sustainability, MDPI, vol. 15(5), pages 1-12, February.
    10. Mukhlis MUKHLIS & Raja MASBAR & Sofyan SYAHNUR & M. Shabri Abd. MAJID, 2020. "Dynamic Causalities Between World Oil Price And Indonesia’S Cocoa Market: Evidence From The 2008 Global Financial Crisis And The 2011 European Debt Crisis," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 217-233, June.

  4. Mohti, Wahbeeah & Dionísio, Andreia & Vieira, Isabel & Ferreira, Paulo, 2019. "Regional and global integration of Asian stock markets," Research in International Business and Finance, Elsevier, vol. 50(C), pages 357-368.

    Cited by:

    1. Vo, Dinh-Tri, 2021. "Dependency on FDI inflows and stock market linkages," Finance Research Letters, Elsevier, vol. 38(C).
    2. Ayesha Siddiqui & Mohd Shamim & Mohammad Asif & Mamdouh Abdulaziz Saleh Al-Faryan, 2022. "Are Stock Markets among BRICS Members Integrated? A Regime Shift-Based Co-Integration Analysis," Economies, MDPI, vol. 10(4), pages 1-25, April.
    3. Ahmad, Nasir & Rehman, Mobeen Ur & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Does inter-region portfolio diversification pay more than the international diversification?," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 26-35.
    4. Kinkyo, Takuji, 2021. "Region-wide connectedness of Asian equity and currency markets," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    5. Md. Abu Issa Gazi & Md. Nahiduzzaman & Sanjoy Kumar Sarker & Mohammad Bin Amin & Md. Ahsan Kabir & Fadoua Kouki & Abdul Rahman bin S Senathirajah & László Erdey, 2024. "Should South Asian Stock Market Investors Think Globally? Investigating Safe Haven Properties and Hedging Effectiveness," Economies, MDPI, vol. 12(11), pages 1-37, November.
    6. Imran Yousaf & Elie Bouri & Shoaib Ali & Nehme Azoury, 2021. "Gold against Asian Stock Markets during the COVID-19 Outbreak," JRFM, MDPI, vol. 14(4), pages 1-23, April.

  5. Wahbeeah Mohti & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2019. "Contagion of the Subprime Financial Crisis on Frontier Stock Markets: A Copula Analysis," Economies, MDPI, vol. 7(1), pages 1-14, February.

    Cited by:

    1. Jorge Omar Razo-De-Anda & Luis Lorenzo Romero-Castro & Francisco Venegas-Martínez, 2023. "Contagion Patterns Classification in Stock Indices: A Functional Clustering Analysis Using Decision Trees," Mathematics, MDPI, vol. 11(13), pages 1-27, July.
    2. Paravee Maneejuk & Woraphon Yamaka, 2019. "Predicting Contagion from the US Financial Crisis to International Stock Markets Using Dynamic Copula with Google Trends," Mathematics, MDPI, vol. 7(11), pages 1-29, November.
    3. Woraphon Yamaka & Rangan Gupta & Sukrit Thongkairat & Paravee Maneejuk, 2023. "Structural and predictive analyses with a mixed copula‐based vector autoregression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 223-239, March.
    4. Vera Ivanyuk, 2021. "Modeling of Crisis Processes in the Financial Market," Economies, MDPI, vol. 9(4), pages 1-17, October.
    5. Catalina Bolancé & Carlos Alberto Acuña & Salvador Torra, 2022. "Non-Normal Market Losses and Spatial Dependence Using Uncertainty Indices," Mathematics, MDPI, vol. 10(8), pages 1-23, April.
    6. Paravee Maneejuk & Woraphon Yamaka, 2021. "The Role of Economic Contagion in the Inward Investment of Emerging Economies: The Dynamic Conditional Copula Approach," Mathematics, MDPI, vol. 9(20), pages 1-23, October.
    7. Zhang, Zhengyong & Shahzad, Syed Jawad Hussain & Bouri, Elie, 2022. "Tail risk transmission from commodity prices to sovereign risk of emerging economies," Resources Policy, Elsevier, vol. 78(C).

  6. da Silva, L.S. Almeida & Guedes, E.F. & Ferreira, Paulo & Dionísio, Andreia & Zebende, G.F., 2019. "ρx,y between open-close stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).

    Cited by:

    1. Zebende, G.F. & Brito, A.A. & Castro, A.P., 2020. "DCCA cross-correlation analysis in time-series with removed parts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).

  7. Guedes, E.F. & Ferreira, Paulo & Dionísio, Andreia & Zebende, G.F., 2019. "An econophysics approach to study the effect of BREXIT referendum on European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1175-1182.

    Cited by:

    1. Guedes, E.F. & da Silva Filho, A.M. & Zebende, G.F., 2021. "Detrended multiple cross-correlation coefficient with sliding windows approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    2. Anna Maria D’Arcangelis & Arianna Pierdomenico & Giulia Rotundo, 2024. "Impact of Brexit on STOXX Europe 600 Constituents: A Complex Network Analysis," Stats, MDPI, vol. 7(3), pages 1-20, June.
    3. Diniz-Maganini, Natalia & Diniz, Eduardo H. & Rasheed, Abdul A., 2021. "Bitcoin’s price efficiency and safe haven properties during the COVID-19 pandemic: A comparison," Research in International Business and Finance, Elsevier, vol. 58(C).
    4. Victor Olkhov, 2019. "Financial Variables, Market Transactions, and Expectations as Functions of Risk," IJFS, MDPI, vol. 7(4), pages 1-27, November.
    5. Kuzu, Erkan & Süsay, Aynur & Tanrıöven, Cihan, 2022. "A model study for calculation of the temperatures of major stock markets in the world with the quantum simulation and determination of the crisis periods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    6. Thiago Pires Santana & Nicole Horta & Catarina Revez & Rui Manuel Teixeira Santos Dias & Gilney Figueira Zebende, 2023. "Effects of Interdependence and Contagion on Crude Oil and Precious Metals According to ρ DCCA : A COVID-19 Case Study," Sustainability, MDPI, vol. 15(5), pages 1-12, February.

  8. Mohti, Wahbeeah & Dionísio, Andreia & Vieira, Isabel & Ferreira, Paulo, 2019. "Financial contagion analysis in frontier markets: Evidence from the US subprime and the Eurozone debt crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1388-1398.

    Cited by:

    1. Oussama Tilfani & Paulo Ferreira & Andreia Dionisio & My Youssef El Boukfaoui, 2020. "EU Stock Markets vs. Germany, UK and US: Analysis of Dynamic Comovements Using Time-Varying DCCA Correlation Coefficients," JRFM, MDPI, vol. 13(5), pages 1-23, May.
    2. Rizwan, Muhammad Suhail, 2021. "Macroprudential regulations and systemic risk: Does the one-size-fits-all approach work?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    3. Ngene, Geoffrey M. & Tah, Kenneth A., 2023. "How are policy uncertainty, real economy, and financial sector connected?," Economic Modelling, Elsevier, vol. 123(C).
    4. Oussama Tilfani & Paulo Ferreira & My Youssef El Boukfaoui, 2021. "Dynamic cross-correlation and dynamic contagion of stock markets: a sliding windows approach with the DCCA correlation coefficient," Empirical Economics, Springer, vol. 60(3), pages 1127-1156, March.
    5. Okorie, David Iheke & Lin, Boqiang, 2021. "Stock markets and the COVID-19 fractal contagion effects," Finance Research Letters, Elsevier, vol. 38(C).
    6. Kakran, Shubham & Kumari, Vineeta & Bajaj, Parminder Kaur & Sidhu, Arpit, 2024. "Exploring crisis-driven return spillovers in APEC stock markets: A frequency dynamics analysis," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    7. Chopra, Monika & Mehta, Chhavi, 2022. "Is the COVID-19 pandemic more contagious for the Asian stock markets? A comparison with the Asian financial, the US subprime and the Eurozone debt crisis," Journal of Asian Economics, Elsevier, vol. 79(C).
    8. Alqaralleh, Huthaifa & Canepa, Alessandra & Chini, Zanetti, 2021. "Financial Contagion During the Covid-19 Pandemic: A Wavelet-Copula-GARCH Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202110, University of Turin.
    9. Wil Martens & Prem Yapa & Maryam Safari, 2021. "Earnings Management in Frontier Market: Do Institutional Settings Matter?," Economies, MDPI, vol. 9(1), pages 1-19, February.
    10. Balcilar, Mehmet & Elsayed, Ahmed H. & Hammoudeh, Shawkat, 2023. "Financial connectedness and risk transmission among MENA countries: Evidence from connectedness network and clustering analysis1," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
    11. Tilfani, Oussama & Kristoufek, Ladislav & Ferreira, Paulo & El Boukfaoui, My Youssef, 2022. "Heterogeneity in economic relationships: Scale dependence through the multivariate fractal regression," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    12. Melike E. Bildirici & Memet Salman & Özgür Ömer Ersin, 2022. "Nonlinear Contagion and Causality Nexus between Oil, Gold, VIX Investor Sentiment, Exchange Rate and Stock Market Returns: The MS-GARCH Copula Causality Method," Mathematics, MDPI, vol. 10(21), pages 1-16, October.
    13. Dora Almeida & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2023. "Impact of the COVID-19 Pandemic on Cryptocurrency Markets: A DCCA Analysis," FinTech, MDPI, vol. 2(2), pages 1-17, May.
    14. Domingo Rodríguez Benavides & César Gurrola Ríos & Francisco López Herrera, 2021. "Dependencia de los mercados de valores de Argentina, Brasil y México respecto del estadounidense: Covid19 y otras crisis financieras recientes," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-18, Julio - S.
    15. Yuan, Ying & Wang, Haiying & Jin, Xiu, 2022. "Pandemic-driven financial contagion and investor behavior: Evidence from the COVID-19," International Review of Financial Analysis, Elsevier, vol. 83(C).
    16. Maghyereh, Aktham & Abdoh, Hussein & Awartani, Basel, 2022. "Have returns and volatilities for financial assets responded to implied volatility during the COVID-19 pandemic?," Journal of Commodity Markets, Elsevier, vol. 26(C).
    17. Kuzu, Erkan & Süsay, Aynur & Tanrıöven, Cihan, 2022. "A model study for calculation of the temperatures of major stock markets in the world with the quantum simulation and determination of the crisis periods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    18. Dinesh Gajurel & Mardi Dungey, 2023. "Systematic Contagion Effects of the Global Finance Crisis: Evidence from the World’s Largest Advanced and Emerging Equity Markets," JRFM, MDPI, vol. 16(3), pages 1-20, March.
    19. Okorie, David Iheke & Lin, Boqiang, 2023. "Cryptocurrency spectrum and 2020 pandemic: Contagion analysis," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 29-38.

  9. Paulo Ferreira & Andreia Dionísio, 2019. "City Brand: What Are the Main Conditions for Territorial Performance?," Sustainability, MDPI, vol. 11(14), pages 1-14, July.

    Cited by:

    1. Susana Iglesias-Antelo & Vicente López-López & Antonio Vázquez-Sanmartín, 2021. "Assessing the Influence of Strategic Resources on the Quality of Life in Spanish Cities," Sustainability, MDPI, vol. 13(23), pages 1-19, November.

  10. Ferreira, Paulo & Dionísio, Andreia, 2019. "Using QCA to explain firm demography in the European Union," Journal of Business Research, Elsevier, vol. 101(C), pages 743-749.

    Cited by:

    1. Éva Komlósi & Tamás Sebestyén & Ákos Tóth-Pajor & Zsolt Bedő, 2020. "Do specific entrepreneurial ecosystems favor high-level networking while others not? Lessons from the Hungarian IT sector," UPFBE Working Paper Series 2020_3, Faculty of Business and Economics, University Pécs.
    2. ben Jabeur, Sami & Mefteh-Wali, Salma & Carmona, Pedro, 2021. "The impact of institutional and macroeconomic conditions on aggregate business bankruptcy," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 108-119.

  11. Ferreira, Paulo & Dionísio, Andreia & Guedes, Everaldo Freitas & Zebende, Gilney Figueira, 2018. "A sliding windows approach to analyse the evolution of bank shares in the European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1355-1367.

    Cited by:

    1. Guedes, E.F. & da Silva Filho, A.M. & Zebende, G.F., 2021. "Detrended multiple cross-correlation coefficient with sliding windows approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    2. Paulo Ferreira, 2020. "Dynamic long-range dependences in the Swiss stock market," Empirical Economics, Springer, vol. 58(4), pages 1541-1573, April.
    3. Guedes, E.F. & Ferreira, Paulo & Dionísio, Andreia & Zebende, G.F., 2019. "An econophysics approach to study the effect of BREXIT referendum on European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1175-1182.
    4. da Silva Filho, A.M. & Zebende, G.F. & Guedes, E.F., 2021. "Analysis of intentional lethal violent crimes: A sliding windows approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    5. Huang, Shupei & An, Haizhong & Lucey, Brian, 2020. "How do dynamic responses of exchange rates to oil price shocks co-move? From a time-varying perspective," Energy Economics, Elsevier, vol. 86(C).
    6. Dias, Rui & da Silva, Jacinto Vidigal & Dionísio, Andreia, 2019. "Financial markets of the LAC region: Does the crisis influence the financial integration?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 160-173.
    7. Grillini, Stefano & Ozkan, Aydin & Sharma, Abhijit & Al Janabi, Mazin A.M., 2019. "Pricing of time-varying illiquidity within the Eurozone: Evidence using a Markov switching liquidity-adjusted capital asset pricing model," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 145-158.
    8. Ferreira, Paulo & Loures, Luís & Nunes, José & Brito, Paulo, 2018. "Are renewable energy stocks a possibility to diversify portfolios considering an environmentally friendly approach? The view of DCCA correlation coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 675-681.
    9. Ferreira, Paulo, 2019. "Assessing the relationship between dependence and volume in stock markets: A dynamic analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 90-97.
    10. da Silva, L.S. Almeida & Guedes, E.F. & Ferreira, Paulo & Dionísio, Andreia & Zebende, G.F., 2019. "ρx,y between open-close stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).

  12. Ferreira, Paulo & Dionísio, Andreia & Correia, José, 2018. "Non-linear dependencies in African stock markets: Was subprime crisis an important factor?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 680-687.

    Cited by:

    1. Bing Xiao, 2023. "The Size Effect and the Value Effect in the American Stock Market," Post-Print hal-04194510, HAL.
    2. Sánchez-Granero, M.A. & Balladares, K.A. & Ramos-Requena, J.P. & Trinidad-Segovia, J.E., 2020. "Testing the efficient market hypothesis in Latin American stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    3. da Silva Filho, A.M. & Zebende, G.F. & Guedes, E.F., 2021. "Analysis of intentional lethal violent crimes: A sliding windows approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    4. Santos, E.C.O. & Guedes, E.F. & Zebende, G.F. & da Silva Filho, A.M., 2022. "Autocorrelation of wind speed: A sliding window approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).

  13. Ferreira, Paulo & Dionísio, Andreia & Movahed, S.M.S., 2017. "Assessment of 48 Stock markets using adaptive multifractal approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 730-750.

    Cited by:

    1. Parthajit Kayal & Moinak Maiti, 2023. "Examining the asymmetric information flow between pairs of gold, silver, and oil: a transfer entropy approach," SN Business & Economics, Springer, vol. 3(10), pages 1-22, October.
    2. Banerjee, Ameet Kumar & Akhtaruzzaman, Md & Dionisio, Andreia & Almeida, Dora & Sensoy, Ahmet, 2022. "Nonlinear nexus between cryptocurrency returns and COVID-19 news sentiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
    3. Memon, Bilal Ahmed & Yao, Hongxing & Naveed, Hafiz Muhammad, 2022. "Examining the efficiency and herding behavior of commodity markets using multifractal detrended fluctuation analysis. Empirical evidence from energy, agriculture, and metal markets," Resources Policy, Elsevier, vol. 77(C).
    4. 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.
    5. Akash P. POOJARI & Siva Kiran GUPTHA & G Raghavender RAJU, 2022. "Multifractal analysis of equities. Evidence from the emerging and frontier banking sectors," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(632), A), pages 61-80, Autumn.
    6. Melike E. Bildirici & Memet Salman & Özgür Ömer Ersin, 2022. "Nonlinear Contagion and Causality Nexus between Oil, Gold, VIX Investor Sentiment, Exchange Rate and Stock Market Returns: The MS-GARCH Copula Causality Method," Mathematics, MDPI, vol. 10(21), pages 1-16, October.
    7. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2020. "Multifractal Analysis of Market Efficiency across Structural Breaks: Implications for the Adaptive Market Hypothesis," JRFM, MDPI, vol. 13(10), pages 1-18, October.
    8. Wang, Lei & Liu, Lutao, 2020. "Long-range correlation and predictability of Chinese stock prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).

  14. Guedes, E. & Dionísio, A. & Ferreira, P.J. & Zebende, G.F., 2017. "DCCA cross-correlation in blue-chips companies: A view of the 2008 financial crisis in the Eurozone," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 38-47.

    Cited by:

    1. Guedes, E.F. & da Silva Filho, A.M. & Zebende, G.F., 2021. "Detrended multiple cross-correlation coefficient with sliding windows approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    2. Ge, Xinlei & Lin, Aijing, 2021. "Multiscale multifractal detrended partial cross-correlation analysis of Chinese and American stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    3. Wahbeeah Mohti & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2019. "Contagion of the Subprime Financial Crisis on Frontier Stock Markets: A Copula Analysis," Economies, MDPI, vol. 7(1), pages 1-14, February.
    4. Guedes, E.F. & Ferreira, Paulo & Dionísio, Andreia & Zebende, G.F., 2019. "An econophysics approach to study the effect of BREXIT referendum on European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1175-1182.
    5. Wang, Qizhen, 2019. "Multifractal characterization of air polluted time series in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 167-180.
    6. Mohti, Wahbeeah & Dionísio, Andreia & Vieira, Isabel & Ferreira, Paulo, 2019. "Financial contagion analysis in frontier markets: Evidence from the US subprime and the Eurozone debt crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1388-1398.
    7. Guedes, E.F. & Brito, A.A. & Oliveira Filho, F.M. & Fernandez, B.F. & de Castro, A.P.N. & da Silva Filho, A.M. & Zebende, G.F., 2018. "Statistical test for ΔρDCCA cross-correlation coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 134-140.
    8. Mitra, Subrata Kumar & Bhatia, Vaneet & Jana, R.K. & Charan, Parikshit & Chattopadhyay, Manojit, 2018. "Changing value detrended cross correlation coefficient over time: Between crude oil and crop prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 671-678.
    9. Stefano Ferretti, 2023. "On the Modeling and Simulation of Portfolio Allocation Schemes: an Approach Based on Network Community Detection," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 969-1005, October.
    10. Ferreira, Paulo & Almeida, Dora & Dionísio, Andreia & Bouri, Elie & Quintino, Derick, 2022. "Energy markets – Who are the influencers?," Energy, Elsevier, vol. 239(PA).
    11. Dias, Rui & da Silva, Jacinto Vidigal & Dionísio, Andreia, 2019. "Financial markets of the LAC region: Does the crisis influence the financial integration?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 160-173.
    12. Ferreira, Paulo & Loures, Luís & Nunes, José & Brito, Paulo, 2018. "Are renewable energy stocks a possibility to diversify portfolios considering an environmentally friendly approach? The view of DCCA correlation coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 675-681.
    13. da Silva, L.S. Almeida & Guedes, E.F. & Ferreira, Paulo & Dionísio, Andreia & Zebende, G.F., 2019. "ρx,y between open-close stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    14. Thiago B. Murari & Aloisio S. Nascimento Filho & Eder J.A.L. Pereira & Paulo Ferreira & Sergio Pitombo & Hernane B.B. Pereira & Alex A.B. Santos & Marcelo A. Moret, 2019. "Comparative Analysis between Hydrous Ethanol and Gasoline C Pricing in Brazilian Retail Market," Sustainability, MDPI, vol. 11(17), pages 1-12, August.
    15. Ferreira, Paulo & Pereira, Éder Johson de Area Leão & Silva, Marcus Fernandes da & Pereira, Hernane Borges, 2019. "Detrended correlation coefficients between oil and stock markets: The effect of the 2008 crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 86-96.
    16. da Silva Filho, A.M. & Zebende, G.F. & de Castro, A.P.N. & Guedes, E.F., 2021. "Statistical test for Multiple Detrended Cross-Correlation Coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    17. Shen, Chenhua, 2019. "The influence of a scaling exponent on ρDCCA: A spatial cross-correlation pattern of precipitation records over eastern China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 579-590.

  15. Ferreira, Paulo & Loures, Luís & Nunes, José Rato & Dionísio, Andreia, 2017. "The behaviour of share returns of football clubs: An econophysics approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 136-144.

    Cited by:

    1. Esparcia, Carlos & Díaz, Antonio, 2024. "The football world upside down: Traditional equities as an alternative for the new fan tokens? A portfolio optimization study," Research in International Business and Finance, Elsevier, vol. 71(C).
    2. Ferreira, Paulo & Dionísio, Andreia & Guedes, Everaldo Freitas & Zebende, Gilney Figueira, 2018. "A sliding windows approach to analyse the evolution of bank shares in the European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1355-1367.
    3. 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.
    4. Ferreira, Paulo, 2018. "What detrended fluctuation analysis can tell us about NBA results," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 92-96.
    5. Paulo Ferreira & Luís Carlos Loures, 2020. "An Econophysics Study of the S&P Global Clean Energy Index," Sustainability, MDPI, vol. 12(2), pages 1-9, January.
    6. da Silva Filho, A.M. & Zebende, G.F. & de Castro, A.P.N. & Guedes, E.F., 2021. "Statistical test for Multiple Detrended Cross-Correlation Coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).

  16. Ferreira Paulo & Dionísio Andreia, 2016. "GDP growth and convergence determinants in the European Union: a crisp-set analysis," Review of Economic Perspectives, Sciendo, vol. 16(4), pages 279-296, December.

    Cited by:

    1. Paulo Ferreira & Andreia Dionísio, 2019. "City Brand: What Are the Main Conditions for Territorial Performance?," Sustainability, MDPI, vol. 11(14), pages 1-14, July.
    2. Guangyou Zhou & Sumei Luo, 2018. "Higher Education Input, Technological Innovation, and Economic Growth in China," Sustainability, MDPI, vol. 10(8), pages 1-15, July.
    3. Loures, L. & Ferreira, P., 2019. "Energy consumption as a condition for per capita carbon dioxide emission growth: The results of a qualitative comparative analysis in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 220-225.

  17. Ferreira, Paulo & Dionísio, Andreia & Zebende, G.F., 2016. "Why does the Euro fail? The DCCA approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 543-554.
    See citations under working paper version above.
  18. Paulo Ferreira & Andreia Dionísio, 2016. "Entrepreneurship rates: the fuzzy-set approach," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 2(2), pages 111-128.

    Cited by:

    1. Paulo Ferreira & Andreia Dionísio, 2019. "City Brand: What Are the Main Conditions for Territorial Performance?," Sustainability, MDPI, vol. 11(14), pages 1-14, July.
    2. Loures, L. & Ferreira, P., 2019. "Energy consumption as a condition for per capita carbon dioxide emission growth: The results of a qualitative comparative analysis in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 220-225.

  19. Ferreira, Paulo & Dionísio, Andreia, 2016. "How long is the memory of the US stock market?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 502-506.

    Cited by:

    1. Choi, Gahyun & Park, Kwangyeol & Yi, Eojin & Ahn, Kwangwon, 2023. "Price fairness: Clean energy stocks and the overall market," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    2. Paulo Ferreira, 2020. "Dynamic long-range dependences in the Swiss stock market," Empirical Economics, Springer, vol. 58(4), pages 1541-1573, April.
    3. Paulo Ferreira, 2017. "Portuguese and Brazilian stock market integration: a non-linear and detrended approach," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(1), pages 49-63, April.
    4. Ben Moews & Gbenga Ibikunle, 2020. "Predictive intraday correlations in stable and volatile market environments: Evidence from deep learning," Papers 2002.10385, arXiv.org.
    5. Ferreira, Paulo, 2016. "Does the Euro crisis change the cross-correlation pattern between bank shares and national indexes?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 320-329.
    6. Ferreira, Paulo & Loures, Luís & Nunes, José Rato & Dionísio, Andreia, 2017. "The behaviour of share returns of football clubs: An econophysics approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 136-144.
    7. Choi, Sun-Yong, 2021. "Analysis of stock market efficiency during crisis periods in the US stock market: Differences between the global financial crisis and COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    8. Moews, Ben & Ibikunle, Gbenga, 2020. "Predictive intraday correlations in stable and volatile market environments: Evidence from deep learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).
    9. Schasfoort, Joeri & Stockermans, Christopher, 2017. "Fundamentals unknown: Momentum, mean-reversion and price-to-earnings trading in an artificial stock market," Economics Discussion Papers 2017-63, Kiel Institute for the World Economy (IfW Kiel).
    10. Ferreira, Paulo & Kristoufek, Ladislav & Pereira, Eder Johnson de Area Leão, 2020. "DCCA and DMCA correlations of cryptocurrency markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    11. Mohti, Wahbeeah & Dionísio, Andreia & Vieira, Isabel & Ferreira, Paulo, 2019. "Regional and global integration of Asian stock markets," Research in International Business and Finance, Elsevier, vol. 50(C), pages 357-368.
    12. Ferreira, Paulo & Loures, Luís & Nunes, José & Brito, Paulo, 2018. "Are renewable energy stocks a possibility to diversify portfolios considering an environmentally friendly approach? The view of DCCA correlation coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 675-681.
    13. Ferreira, Paulo & Dionísio, Andreia & Correia, José, 2018. "Non-linear dependencies in African stock markets: Was subprime crisis an important factor?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 680-687.

  20. J Augusto Felício & Vítor Caldeirinha & Andreia Dionísio, 2015. "The effect of port and container terminal characteristics on terminal performance," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 17(4), pages 493-514, December.

    Cited by:

    1. Pierre, Cariou & Francesco, Parola & Theo, Notteboom, 2019. "Towards low carbon global supply chains: A multi-trade analysis of CO2 emission reductions in container shipping," International Journal of Production Economics, Elsevier, vol. 208(C), pages 17-28.
    2. Mu-Chen Chen & Kuo-Chien Chang & Chia-Lin Hsu & German Alcibiades Vega Leon, 2018. "Investigating the impacts of guanxi and relationship marketing in port logistics: two cases," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(4), pages 603-623, December.
    3. Lele Zhou & Woojong Suh, 2024. "A Comprehensive Study on Static and Dynamic Operational Efficiency in Major Korean Container Terminals Amid the Smart Port Development Context," Sustainability, MDPI, vol. 16(13), pages 1-26, June.
    4. Claudio Ferrari & Pier Paolo Puliafito & Alessio Tei, 2019. "Dynamics in terminal concessions: the role of performances," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(1), pages 99-110, March.
    5. Xiao, Zengqi & Lam, Jasmine Siu Lee, 2020. "The impact of institutional conditions on willingness to take contractual risk in port public-private partnerships of developing countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 12-26.

  21. Paulo Ferreira & Andreia Dionisio, 2015. "Revisiting Covered Interest Parity in the European Union: the DCCA Approach," International Economic Journal, Taylor & Francis Journals, vol. 29(4), pages 597-615, December.

    Cited by:

    1. Oussama Tilfani & Paulo Ferreira & Andreia Dionisio & My Youssef El Boukfaoui, 2020. "EU Stock Markets vs. Germany, UK and US: Analysis of Dynamic Comovements Using Time-Varying DCCA Correlation Coefficients," JRFM, MDPI, vol. 13(5), pages 1-23, May.
    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. Kuo-Shing Chen & Chien-Chiang Lee & Chun-Ming Chen, 2017. "Arbitrage, Covered Interest Parity and Cointegration Analysis on the New Taiwan Dollar/US Dollar FOREX Market Revisited," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 420-428.
    4. Nardo, M. & Ossola, E. & Papanagiotou, E., 2022. "Financial integration in the EU28 equity markets: Measures and drivers," Journal of Financial Markets, Elsevier, vol. 57(C).
    5. Ferreira, Paulo & Kristoufek, Ladislav, 2020. "Uncovered interest rate parity through the lens of fractal methods: Evidence from the European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
    6. Paulo Ferreira, 2017. "Portuguese and Brazilian stock market integration: a non-linear and detrended approach," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(1), pages 49-63, April.
    7. Ferreira, Paulo & Dionísio, Andreia & Guedes, Everaldo Freitas & Zebende, Gilney Figueira, 2018. "A sliding windows approach to analyse the evolution of bank shares in the European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1355-1367.
    8. Nascimento Filho, A.S. & Pereira, E.J.A.L. & Ferreira, Paulo & Murari, T.B. & Moret, M.A., 2018. "Cross-correlation analysis on Brazilian gasoline retail market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 550-557.
    9. Guedes, E.F. & Ferreira, Paulo & Dionísio, Andreia & Zebende, G.F., 2019. "An econophysics approach to study the effect of BREXIT referendum on European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1175-1182.
    10. Paulo Ferreira & Éder Pereira, 2019. "The impact of the Brexit referendum on British and European Union bank shares: a cross-correlation analysis with national indices," Economics Bulletin, AccessEcon, vol. 39(1), pages 335-346.
    11. Natália Costa & César Silva & Paulo Ferreira, 2019. "Long-Range Behaviour and Correlation in DFA and DCCA Analysis of Cryptocurrencies," IJFS, MDPI, vol. 7(3), pages 1-12, September.
    12. Ferreira, Paulo, 2016. "Does the Euro crisis change the cross-correlation pattern between bank shares and national indexes?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 320-329.
    13. Dora Almeida & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2023. "Impact of the COVID-19 Pandemic on Cryptocurrency Markets: A DCCA Analysis," FinTech, MDPI, vol. 2(2), pages 1-17, May.
    14. Thiago B. Murari & Aloisio S. Nascimento Filho & Eder J.A.L. Pereira & Paulo Ferreira & Sergio Pitombo & Hernane B.B. Pereira & Alex A.B. Santos & Marcelo A. Moret, 2019. "Comparative Analysis between Hydrous Ethanol and Gasoline C Pricing in Brazilian Retail Market," Sustainability, MDPI, vol. 11(17), pages 1-12, August.
    15. 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.

  22. Menezes, Rui & Dionísio, Andreia & Hassani, Hossein, 2012. "On the globalization of stock markets: An application of Vector Error Correction Model, Mutual Information and Singular Spectrum Analysis to the G7 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(4), pages 369-384.

    Cited by:

    1. Babaei, Hamid & Hübner, Georges & Muller, Aline, 2023. "The effects of uncertainty on the dynamics of stock market interdependence: Evidence from the time-varying cointegration of the G7 stock markets," Journal of International Money and Finance, Elsevier, vol. 139(C).
    2. Marco Corazza & Elisa Scalco, 2015. "Verifying the R�nyi dependence axioms for a non-linear bivariate comovement index," Working Papers 2015:11, Department of Economics, University of Venice "Ca' Foscari".
    3. Jinggang Guo & Craig M.T. Johnston, 2020. "Do Protectionist Trade Policies Integrate Domestic Markets? Evidence from the Canada-U.S. Softwood Lumber Dispute," Staff Working Papers 20-10, Bank of Canada.
    4. Wahbeeah Mohti & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2019. "Frontier markets’ efficiency: mutual information and detrended fluctuation analyses," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 551-572, September.
    5. Abu Bakar, Norhidayah & Masih, Abul Mansur M., 2014. "The Dynamic Linkages between Islamic Index and the Major Stock Markets: New Evidence from Wavelet time-scale decomposition Analysis," MPRA Paper 56977, University Library of Munich, Germany.
    6. Songtao Wu & Jianmin He & Chao Wang, 2017. "Effects of Common Factors on Dynamics of Stocks Traded by Investors with Limited Information Capacity," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-15, September.
    7. Jihong Xiao & Xuehong Zhu & Chuangxia Huang & Xiaoguang Yang & Fenghua Wen & Meirui Zhong, 2019. "A New Approach for Stock Price Analysis and Prediction Based on SSA and SVM," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 287-310, January.
    8. Chikashi Tsuji, 2016. "Did the expectations channel work? Evidence from quantitative easing in Japan, 2001–06," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1210996-121, December.
    9. Assaf, Ata & Charif, Husni & Demir, Ender, 2022. "Information sharing among cryptocurrencies: Evidence from mutual information and approximate entropy during COVID-19," Finance Research Letters, Elsevier, vol. 47(PA).
    10. Xiaoling Tan & Jichang Zhao, 2020. "The illiquidity network of stocks in China's market crash," Papers 2004.01917, arXiv.org, revised Nov 2021.
    11. Guo, Jinggang & Johnston, Craig M.T., 2021. "Do protectionist trade policies integrate domestic markets? Evidence from the Canada-U.S. softwood lumber dispute," Forest Policy and Economics, Elsevier, vol. 130(C).
    12. Paulo Jorge Silveira Ferreira, 2012. "Testing serial dependence in the stock markets of the G7 countries, Portugal, Spain and Greece," CEFAGE-UE Working Papers 2012_24, University of Evora, CEFAGE-UE (Portugal).

  23. Coelho, Luís Alberto Godinho & Pires, Cesaltina Maria Pacheco & Dionísio, Andreia Teixeira & Serrão, Amílcar Joaquim da Conceição, 2012. "The impact of CAP policy in farmer's behavior – A modeling approach using the Cumulative Prospect Theory," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 81-98.

    Cited by:

    1. Luís Alberto Godinho Coelho, 2014. "Portfolio Selection Optimization under Cumulative Prospect Theory – a parameter sensibility analysis," CEFAGE-UE Working Papers 2014_06, University of Evora, CEFAGE-UE (Portugal).
    2. Gohin, Alexandre & Zheng, Yu, 2020. "Reforming the European Common Agricultural Policy: From price & income support to risk management," Journal of Policy Modeling, Elsevier, vol. 42(3), pages 712-727.
    3. Robert Finger & Viviana Garcia & Chloe McCallum & Jens Rommel, 2024. "A note on European farmers' preferences under cumulative prospect theory," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 465-472, February.
    4. Piet, Laurent & Bougherara, Douadia, 2016. "The impact of farmers' risk preferences on the design of an individual yield crop insurance," Working Papers 233495, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    5. Nitta, Atomu & Yamamoto, Yasutaka & Kondo, Katsunobu & Sawauchi, Daisuke, 2020. "Direct payments to Japanese farmers: Do they reduce rice income inequality? Lessons for other Asian countries," Journal of Policy Modeling, Elsevier, vol. 42(5), pages 968-981.
    6. Beatrice D. Simo-Kengne & Kofi A. Ababio & Jules Mba & Ur Koumba, 2018. "Behavioral portfolio selection and optimization: an application to international stocks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(3), pages 311-328, August.
    7. Spiegel, Alisa & Severini, Simone & Britz, Wolfgang & Coletta, Attilio, 2020. "Step-by-step development of a model simulating returns on farm from investments: the example of hazelnut plantation in Italy: The example of hazelnut plantation in Italy," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(1), April.
    8. Nadia A. Streletskaya & Samuel D. Bell & Maik Kecinski & Tongzhe Li & Simanti Banerjee & Leah H. Palm‐Forster & David Pannell, 2020. "Agricultural Adoption and Behavioral Economics: Bridging the Gap," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 54-66, March.

  24. Paulo Ferreira & Andreia Dionísio & Cesaltina Pires, 2010. "Adopt the euro? The GME approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 231-247, December.

    Cited by:

    1. 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.
    2. Paulo Ferreira & Andreia Dionisio, 2015. "Revisiting Covered Interest Parity in the European Union: the DCCA Approach," International Economic Journal, Taylor & Francis Journals, vol. 29(4), pages 597-615, December.
    3. Ferreira, Paulo & Dionísio, Andreia & Guedes, Everaldo Freitas & Zebende, Gilney Figueira, 2018. "A sliding windows approach to analyse the evolution of bank shares in the European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1355-1367.
    4. Andreia Teixeira Marques Dionísio & Paulo Jorge Silveira Ferreira, 2014. "Why does the Euro fail? The DCCA approach," CEFAGE-UE Working Papers 2014_15, University of Evora, CEFAGE-UE (Portugal).
    5. Luca Zanin, 2021. "On the estimation of Okun’s coefficient in some countries in Latin America: a comparison between OLS and GME estimators," Empirical Economics, Springer, vol. 60(3), pages 1575-1592, March.
    6. David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler, 2012. "Synchronization and Diversity in Business Cycles: A Network Approach Applied to the European Union," CREMA Working Paper Series 2012-01, Center for Research in Economics, Management and the Arts (CREMA).
    7. Niu, Hongli & Wang, Jun & Liu, Cheng, 2018. "Analysis of crude oil markets with improved multiscale weighted permutation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 389-402.
    8. Ricardo Troncoso Sepúlveda & Claudio Parés Bengoechea, 2018. "Estimación de la migración de votantes y ubicación de coaliciones políticas usando máxima entropía generalziada. Evidencia en Chile (2001-2013)," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 37(74), pages 495-522, July.
    9. 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.
    10. Ricardo Troncoso Sepúlveda & Claudio Parés Bengoechea, 2018. "Estimación de la migración de votantes y ubicación de coaliciones políticas usando máxima entropía generalizada. Evidencia en Chile (2001-2013)," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 37(74), pages 495-522, July.

  25. Dionisio, Andreia & Reis, A. Heitor & Coelho, Luis, 2008. "Utility function estimation: The entropy approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3862-3867.
    See citations under working paper version above.
  26. Dionisio, Andreia & Menezes, Rui & Mendes, Diana A., 2007. "On the integrated behaviour of non-stationary volatility in stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 58-65.
    See citations under working paper version above.
  27. A. Dionisio & R. Menezes & D. A. Mendes, 2006. "An econophysics approach to analyse uncertainty in financial markets: an application to the Portuguese stock market," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 50(1), pages 161-164, March.
    See citations under working paper version above.
  28. Menezes, Rui & Dionisio, Andreia & Mendes, Diana A., 2004. "Asymmetric price transmission within the Portuguese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 312-316.

    Cited by:

    1. Zouheir Mighri & Faysal Mansouri, 2016. "Asymmetric price transmission within the Argentinean stock market: an asymmetric threshold cointegration approach," Empirical Economics, Springer, vol. 51(3), pages 1115-1149, November.
    2. Mallick, Lingaraj & Behera, Smruti Ranjan & Murthy, R.V. Ramana, 2021. "Does the twin deficit hypothesis exist in India? Empirical evidence from an asymmetric non-linear cointegration approach," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    3. Tsagkanos, Athanasios & Siriopoulos, Costas, 2015. "Stock markets and industrial production in north and south of Euro-zone: Asymmetric effects via threshold cointegration approach," The Journal of Economic Asymmetries, Elsevier, vol. 12(2), pages 162-172.
    4. Yu-Shao Liu & Chi-Wei Su, 2010. "The relationship between the real estate and stock markets of China: evidence from a nonlinear model," Applied Financial Economics, Taylor & Francis Journals, vol. 20(22), pages 1741-1749.
    5. Rui Menezes, 2013. "Globalization and Granger Causality in International Stock Markets," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 3(1), pages 413-413.

  29. Dionisio, Andreia & Menezes, Rui & Mendes, Diana A., 2004. "Mutual information: a measure of dependency for nonlinear time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 326-329.

    Cited by:

    1. Lee, Heera & Seo, Bumsuk & Cord, Anna F. & Volk, Martin & Lautenbach, Sven, 2022. "Using crowdsourced images to study selected cultural ecosystem services and their relationships with species richness and carbon sequestration," Ecosystem Services, Elsevier, vol. 54(C).
    2. E. M. S. Ribeiro & G. A. Prataviera, 2014. "Information theoretic approach for accounting classification," Papers 1401.2954, arXiv.org, revised Sep 2014.
    3. Menezes, Rui & Dionísio, Andreia & Hassani, Hossein, 2012. "On the globalization of stock markets: An application of Vector Error Correction Model, Mutual Information and Singular Spectrum Analysis to the G7 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(4), pages 369-384.
    4. Assaf, Ata & Mokni, Khaled & Youssef, Manel, 2023. "COVID-19 and information flow between cryptocurrencies, and conventional financial assets," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 73-81.
    5. Ribeiro, E.M.S. & Prataviera, G.A., 2014. "Information theoretic approach for accounting classification," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 651-660.
    6. Ari, Didem & Mizrak Ozfirat, Pinar, 2024. "Comparison of artificial neural networks and regression analysis for airway passenger estimation," Journal of Air Transport Management, Elsevier, vol. 115(C).
    7. Wahbeeah Mohti & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2019. "Frontier markets’ efficiency: mutual information and detrended fluctuation analyses," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 551-572, September.
    8. He, Chengying & Wen, Zhang & Huang, Ke & Ji, Xiaoqin, 2022. "Sudden shock and stock market network structure characteristics: A comparison of past crisis events," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    9. Songtao Wu & Jianmin He & Chao Wang, 2017. "Effects of Common Factors on Dynamics of Stocks Traded by Investors with Limited Information Capacity," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-15, September.
    10. Juan Benjamín Duarte Duarte & Juan Manuel Mascareñas Pérez-Iñigo, 2014. "¿Han sido los mercados bursátiles eficientes informacionalmente?," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, June.
    11. Banerjee, Ameet Kumar & Dionisio, Andreia & Sensoy, Ahmet & Goodell, John W., 2024. "Extant linkages between Shanghai crude oil and US energy futures: Insights from spillovers of higher-order moments," Energy Economics, Elsevier, vol. 136(C).
    12. Peng Yue & Qing Cai & Wanfeng Yan & Wei-Xing Zhou, 2020. "Information flow networks of Chinese stock market sectors," Papers 2004.08759, arXiv.org.
    13. A. Q. Barbi & G. A. Prataviera, 2017. "Nonlinear dependencies on Brazilian equity network from mutual information minimum spanning trees," Papers 1711.06185, arXiv.org, revised May 2019.
    14. Gao, Hai-Ling & Mei, Dong-Cheng, 2019. "The correlation structure in the international stock markets during global financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    15. Polanski, Arnold & Stoja, Evarist & Chiu, Ching-Wai (Jeremy), 2019. "Tail risk interdependence," Bank of England working papers 815, Bank of England.
    16. Liu, Zhengli & Shang, Pengjian & Wang, Yuanyuan, 2020. "Characterization of time series through information quantifiers," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    17. Chunxia, Yang & Xueshuai, Zhu & Luoluo, Jiang & Sen, Hu & He, Li, 2016. "Study on the contagion among American industries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 601-612.
    18. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas Pérez-Iñigo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi, November.
    19. Będowska-Sójka, Barbara & Kliber, Agata, 2021. "Information content of liquidity and volatility measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    20. Banerjee, Ameet Kumar & Dionisio, Andreia & Pradhan, H.K. & Mahapatra, Biplab, 2021. "Hunting the quicksilver: Using textual news and causality analysis to predict market volatility," International Review of Financial Analysis, Elsevier, vol. 77(C).
    21. Choi, Insu & Kim, Woo Chang, 2023. "Estimating Historical Downside Risks of Global Financial Market Indices via Inflation Rate-Adjusted Dependence Graphs," Research in International Business and Finance, Elsevier, vol. 66(C).
    22. Akimitsu Inoue, 2016. "Density estimation based on pointwise mutual information," Economics Bulletin, AccessEcon, vol. 36(2), pages 1138-1148.
    23. Guglielmo D'Amico & Filippo Petroni, 2020. "A micro-to-macro approach to returns, volumes and waiting times," Papers 2007.06262, arXiv.org.
    24. Peng Yue & Yaodong Fan & Jonathan A. Batten & Wei-Xing Zhou, 2020. "Information transfer between stock market sectors: A comparison between the USA and China," Papers 2004.07612, arXiv.org.
    25. Assaf, Ata & Charif, Husni & Demir, Ender, 2022. "Information sharing among cryptocurrencies: Evidence from mutual information and approximate entropy during COVID-19," Finance Research Letters, Elsevier, vol. 47(PA).
    26. Dong, Keqiang & Long, Linan & Zhang, Hong & Gao, You, 2018. "The mutual information based minimum spanning tree to detect and evaluate dependencies between aero-engine gas path system variables," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 248-253.
    27. Zhou, Yang & Xie, Chi & Wang, Gang-Jin & Gong, Jue & Li, Zhao-Chen & Zhu, You, 2024. "Who dominate the information flowing between innovative and traditional financial assets? A multiscale entropy-based approach," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 329-358.
    28. Arthur Matsuo Yamashita Rios de Sousa & Hideki Takayasu & Misako Takayasu, 2017. "Detection of statistical asymmetries in non-stationary sign time series: Analysis of foreign exchange data," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-18, May.
    29. Stephan Schwill, 2018. "Entropy Analysis of Financial Time Series," Papers 1807.09423, arXiv.org.
    30. Arnold Polanski & Evarist Stoja & Ching‐Wai (Jeremy) Chiu, 2021. "Tail risk interdependence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5499-5511, October.
    31. Polanco-Martínez, J.M. & Fernández-Macho, J. & Neumann, M.B. & Faria, S.H., 2018. "A pre-crisis vs. crisis analysis of peripheral EU stock markets by means of wavelet transform and a nonlinear causality test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1211-1227.
    32. Barbi, A.Q. & Prataviera, G.A., 2019. "Nonlinear dependencies on Brazilian equity network from mutual information minimum spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 876-885.
    33. Aleksandra Rutkowska & Magdalena Szyszko, 2024. "Dictionary-based sentiment analysis of monetary policy communication: on the applicability of lexicons," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(6), pages 5421-5444, December.

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