Abstract
Besides the historical heritage that Portugal and Brazil share, the last two decades have also shown an increase in some economic indicators, such as the percentage of imports/exports and foreign direct investment. In order to take advantage of all the benefits, the countries should increase economic integration, stock market integration being one of the possibilities. In this context, this paper analyses stock market integration between these two countries, using non-linear methodologies: detrended fluctuation analysis, detrended cross-correlation analysis and detrended moving-average cross-correlation analysis. Using the main stock indexes, and splitting the sample in six different periods, the main conclusion is that integration between these two countries increased over time. However, since 2013, the integration pattern has decreased, with the economic crisis both countries suffered being the main factor.
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Notes
Later applications show the possibility of including other polynomial trends (see, for example, Kantelhardt et al. 2001)
References
Adam K, Japelli T, Menichini A, Padula M, Pagano M (2002) Analyse, Compare, and Apply Alternative Indicators and Monitoring Methodologies to Measure the Evolution of Capital Market Integration in the European Union. Centre for Studies in Economics and Finance, University of Salerno
Ahmad R, Etudaiye-Muhtar O, Matemilola B, Bany-Ariffin A (2016) Financial market development, global financial crisis and economic growth: evidence from developing nations. Port Econ J 15(3):199–214. doi:10.1007/s10258-016-0123-8
Anagnostidis P, Varsakelis C, Emmanouilides C (2016) Has the 2008 financial crisis affected stock market efficiency? The case of Eurozone. Physica A 447:116–128
Apergis N, Tsoumas C (2009) A survey of the feldstein–horioka puzzle: what has been done and where we stand. Res Econ 63(2):64–76
Ausloos M (2000) Statistical physics in foreign exchange currency and stock markets. Physica A 285:48–65
Ausloos M, Vandewalle N, Boveroux P, Minguet A, Ivanova K (1999) Applications of statistical physics to economic and financial topics. Physica A 274:229–240
Beine M, Cosma A, Vermeulen R (2010) The dark side of global integration: increasing tail dependence. J Bank Financ 34(1):184–192
Bekaert G, Harvey C, Lundblad C (2005) Does financial liberalization spur growth? J Financ Econ 77(1):3–56. doi:10.1016/j.jfineco.2004.05.007
Bekaert G, Ehrmann M, Fratzscher M (2014) The global crisis and equity market contagion. J Financ 69(6):2597–2649. doi:10.1111/jofi.12203
Buch C, Körner T, Weigert B (2015) Towards deeper financial integration in Europe: what the banking union can contribute. Credit Cap Mark – Kredit und Kapital 48(1):11–49
Cajueiro D, Tabak B (2004) Ranking efficiency for emerging markets. Chaos, Solitons Fractals 22(2):349–352
Cont R (2001) Empirical properties of asset returns: stylized facts and statistical issues. Quant Finan 1:223–236
Costa R, Vasconcelos G (2003) Long-range correlations and nonstationarity in the Brazilian stock market. Physica A 329:231–248. doi:10.1016/S0378-4371(03)00607-1
Doman M, Doman R (2013) Dynamic linkages between stock markets: the effects of crises and globalization. Port Econ J 12(2):87–112. doi:10.1007/s10258-013-0091-1
Fama E (1970) Efficient capital markets: a review of theory and empirical work. J Financ 25:383–417
Feldstein M, Horioka C (1980) Domestic saving and international capital flows. Econ J 90:314–329
Ferreira P (2011) Monetary integration in the European union. J Emerg Mark Finan 10:93–120
Ferreira P (2016) Does the Euro crisis change the cross-correlation pattern between bank shares and national indexes? Physica 463(1):320–329
Ferreira P, Dionísio A (2014) Revisiting serial dependence in the stock markets of the G7 countries, Portugal, Spain and Greece. Appl Financ Econ 24(5):319–331
Ferreira P, Dionisio A (2015) Revisiting covered interest parity in the European Union: the DCCA Approach. Int Econ J. doi:10.1080/10168737.2015.1081260
Ferreira P, Dionísio A (2016a) How long is the memory of the US stock market? Physica A 451:502–506. doi:10.1016/j.physa.2016.01.080
Ferreira P, Dionísio A (2016b) G7 stock markets: who is the first to defeat the DCCA correlation? Rev Socioecon Perspect 1(1):107–120
Ferreira P, Dionísio A, Zebende G (2016) Why does the Euro fail? The DCCA approach. Physica A 443:543–554. doi:10.1016/j.physa.2015.10.013
He L, Chen S (2011) A new approach to quantify power-law cross-correlation and its application to commodity markets. Physica A 390:3806–3814
Kantelhardt J, Koscielny-Bunde E, Rego H, Havlin S, Bunde A (2001) Detecting longrange correlations with detrended fluctuation analysis. Physica A 295:441–54
Kearney C, Lucey B (2004) International equity market integration: theory, evidence and implications. Int Rev Financ Anal 13:571–583
Kristoufek L (2014a) Detrending moving-average cross-correlation coefficient: measuring cross-correlations between non-stationary series. Physica A 406:169–175
Kristoufek L (2014b) Measuring cross-correlation between non-stationary series with DCCA coefficient. Physica A 402:291–298
Kristoufek L (2015) Detrended fluctuation analysis as a regression framework: estimating dependence at different scales. Phys Rev E 91:022802
Lane P, Millesi-Ferreti G (2003) International financial integration. IMF Staff Pap 50:82–113
Moosa I, Bhatti R (1997) International parity conditions: theory, econometric testing and empirical evidence. Palgrave.
Obstfeld M (1993) Are industrial-country consumption risks globally diversified? NBER working paper no. 4308
Obstfeld M (1994) Risk-taking, global diversification, and growth. Am Econ Rev 84(5):1310–29
Peng C, Buldyrev S, Havlin S, Simons M, Stanley E, Goldberger A (1994) Mosaic organization of DNA nucleotides. Phys Rev E49:1685–1689
Podobnik B, Stanley H (2008) Detrended cross-correlation analysis: a new method for analyzing two nonstationary time series. Phys Rev Lett 100:084102
Podobnik B, Jiang Z, Zhou W, Stanley H (2011) Statistical tests for power-law cross-correlated processes. Phys Rev E 84:066118
Prasad E, Rogoff K, Wei SJ, Kose M (2004) Effects of financial globalization on developing countries: some empirical evidence. International Monetary Fund Occasional Papers no. 220
Rak R, Drozdz S, Kwapien J, Oswiecimka P (2015) Detrended cross-correlations between returns, volatility, trading activity, and volume traded for the stock market companies. EPL (Europhys Lett) 112(4):48001
Reboredo J, Rivera-Castro M, Miranda J, García-Rubio R (2016) How fast do stock prices adjust to market efficiency? Evidence from a detrended fluctuation analysis. Physica A 392:1631–1637
Rege D, Martín S (2011) Portuguese stock market: a long-memory process? Bus Theory Pract 12(1):75–84. doi:10.3846/btp.2011.01.08
Silva M, Pereira E, Filho A, Castro A, Miranda J, Zebende G (2015) Quantifying cross-correlation between Ibovespa and Brazilian blue-chips: the DCCA approach. Physica A 424:124–129
Vandewalle N, Ausloos M (1998) Crossing of two mobile averages: a method for measuring the roughness exponent. Phys Rev E 58:6832–6834
Zebende G (2011) DCCA cross-correlation coefficient: quantifying level of cross-correlation. Physica A 390:614–618
Acknowledgments
Paulo Ferreira is pleased to acknowledge financial support from Fundação para a Ciência e a Tecnologia (grant UID/ECO/04007/2013) and FEDER/COMPETE (POCI-01-0145-FEDER-007659)
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Ferreira, P. Portuguese and Brazilian stock market integration: a non-linear and detrended approach. Port Econ J 16, 49–63 (2017). https://doi.org/10.1007/s10258-017-0127-z
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DOI: https://doi.org/10.1007/s10258-017-0127-z
Keywords
- Brazil
- Detrended fluctuation analysis
- Detrended cross-correlation analysis
- Detrended moving-average cross-correlation analysis
- Portugal
- Stock market integration