Dynamic relationships between crude oil prices and socially responsible investing in Brazil: evidence for linear and non-linear causality

References

• Ajmi, A. N., El-montasser, G., Hammoudeh, S., and D. K., Nguyen. 2014. “Oil Prices and MENA Stock Markets: New Evidence from Nonlinear and Asymmetric Causalities during and after the Crisis Period.” Applied Economics 46: 2167–2177. doi:10.1080/00036846.2014.896987.
   Web of Science ®Google Scholar
• Akaike, H. 1974. “A New Look at the Statistical Model Identification.” IEEE Transactions on Automatic Control 19: 716–723. doi:10.1109/TAC.1974.1100705.
   Web of Science ®Google Scholar
• Baek, E., and Brock, W. 1992. A general test for non-linear Granger causality: bivariate model. Iowa State University, Working paper, University of Wisconsin, Madison.
   Google Scholar
• Basher, S. A., and P. Sadorsky. 2006. “Oil Price Risk and Emerging Stock Markets.” Global Finance Journal 17: 224–251. doi:10.1016/j.gfj.2006.04.001.
   Google Scholar
• Bekiros, S. D., and C. G. H. Diks. 2008. “The Relationship Between Crude Oil Spot and Futures Prices: Cointegration, Linear and Nonlinear Causality.” Energy Economics 30: 2673–2685. doi:10.1016/j.eneco.2008.03.006.
   Web of Science ®Google Scholar
• BM&FBOVESPA. 2013. BM&FBOVESPA’s Sustainability Policy. São Paulo: Bolsa de Mercadorias e Futuros de São Paulo.
   Google Scholar
• BM&FBOVESPA (Bolsa de Mercadorias e Futuros de São Paulo). 2016a. Índice de Sustentabilidade Empresarial (ISE) – Estatísticas Históricas. Accessed May 5 2016. http://www.bmfbovespa.com.br/pt_br/produtos/indices/indices-de-sustentabilidade/indice-de-sustentabilidade-empresarial-ise-estatisticas-historicas.htm
   Google Scholar
• BM&FBOVESPA (Bolsa de Mercadorias e Futuros de São Paulo). 2016b. Índice de Sustentabilidade Empresarial (ISE) – Composição da Carteira. Accessed May 5 2016. http://www.bmfbovespa.com.br/pt_br/produtos/indices/indices-de-sustentabilidade/indice-de-sustentabilidade-empresarial-ise-composicao-da-carteira.htm
   Google Scholar
• BM&FBOVESPA (Bolsa de Mercadorias e Futuros de São Paulo). 2016c. Índice IBOVESPA – Estatísticas Históricas. Accessed May 5 2016. http://www.bmfbovespa.com.br/pt_br/produtos/indices/indices-amplos/indice-ibovespa-ibovespa-estatisticas-historicas.htm
   Google Scholar
• BM&FBOVESPA (Bolsa de Mercadorias e Futuros de São Paulo) 2016d. Renda Variável – Participação dos Investidores. Accessed August 22 2016. http://www.bmfbovespa.com.br/pt_br/servicos/emprestimo-de-ativos/participacao-dos-investidores.htm
   Google Scholar
• Bollerslev, T. 1986. “Generalized Autoregressive Conditional Heteroskedasticity.” Journal of Econometrics 31: 307–327. doi:10.1016/0304-4076(86)90063-1.
   Web of Science ®Google Scholar
• Box, G. E. P., and D. A. Pierce. 1970. “Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models.” Journal of the American Statistical Association 65: 1509–1526. doi:10.1080/01621459.1970.10481180.
   Google Scholar
• Breusch, T. S. 1978. “Testing for Autocorrelation in Dynamic Linear Models.” Australian Economic Papers 17: 334–355. doi:10.1111/j.1467-8454.1978.tb00635.x.
   Web of Science ®Google Scholar
• Chen, M.-Y. 2002. “Testing Stationarity against Unit Roots and Structural Changes.” Applied Economics Letters 9: 459–464. doi:10.1080/13504850110091895.
   Web of Science ®Google Scholar
• Cunha, F. A. F. S., and C. P. Samanez. 2013. “Performance Analysis of Sustainable Investments in the Brazilian Stock Market: A Study About the Corporate Sustainability Index (ISE).” Journal of Business Ethics 117: 19–36. doi:10.1007/s10551-012-1484-2.
   Web of Science ®Google Scholar
• Davis, S. J., and J. Haltiwanger. 2001. “Sectoral Job Creation and Destruction Responses to Oil Price Changes.” Journal of Monetary Economics 48: 465–512. doi:10.1016/S0304-3932(01)00086-1.
   Web of Science ®Google Scholar
• Dickey, D. A., and W. A. Fuller. 1979. “Distribution of the Estimators for Autoregressive Time Series with a Unit Root.” Journal of the American Statistical Association 74: 427–431.
   Web of Science ®Google Scholar
• Diks, C. G. H., and V. Panchenko. 2005. “A Note on the Hiemstra–Jones Test for Granger Non-Causality.” Studies in Nonlinear Dynamics & Econometrics 9: 1–7. doi:10.2202/1558-3708.1234.
   Web of Science ®Google Scholar
• Diks, C. G. H., and V. Panchenko. 2006. “A New Statistic and Practical Guidelines for Nonparametric Granger Causality Testing.” Journal of Economic Dynamics and Control 30: 1647–1669. doi:10.1016/j.jedc.2005.08.008.
   Web of Science ®Google Scholar
• Driesprong, G., B. Jacobsen, and B. Maat. 2008. “Striking Oil: Another Puzzle?” Journal of Financial Economics 89: 307–327. doi:10.1016/j.jfineco.2007.07.008.
   Web of Science ®Google Scholar
• EIA (U. S. Energy Information Administration). 2013. Price difference between Brent and WTI crude oil narrowing. Accessed August 1 2014. http://www.eia.gov/todayinenergy/detail.cfm?id=11891
   Google Scholar
• EIA (U. S. Energy Information Administration). 2016. Spot Prices. Accessed May 5 2016. http://www.eia.gov/dnav/pet/pet_pri_spt_s1_d.htm
   Google Scholar
• El-Sharif, I., Brown, D., Burton, B., Nixon, B., and A. Russell. 2005. “Evidence on the Nature and Extent of the Relationship between Oil Prices and Equity Values in the UK.” Energy Economics 27: 819–830. doi:10.1016/j.eneco.2005.09.002.
   Web of Science ®Google Scholar
• EMI (Energy Management Institute). 2013. Brent-WTI crude spread on a path toward normalcy. Accessed August 1 2014. http://www.cmegroup.com/education/files/emi-2013-05-14.pdf
   Google Scholar
• Engle, R., and T. Bollerslev. 1986. “Modelling the Persistence of Conditional Variances.” Econometric Reviews 5: 1–50. doi:10.1080/07474938608800095.
   Google Scholar
• Engle, R. F. 1982. “Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of U.K. Inflation.” Econometrica 50: 987–1007. doi:10.2307/1912773.
   Web of Science ®Google Scholar
• Environics International. 1999. The millennium poll on Corporate Social Responsibility: Executive brief. Accessed September 24 2014. http://www.globescan.com/news_archives/MPExecBrief.pdf
   Google Scholar
• Estrada, A., and P. H. de Cos. 2012. “Oil Prices and Their Effect on Potential Output.” Applied Economics Letters 19: 207–214. doi:10.1080/13504851.2011.572833.
   Web of Science ®Google Scholar
• Eurosif. 2003. Socially Responsible Investment among European Institutional Investors: 2003 Report. European Sustainable Investment Forum, Paris.
   Google Scholar
• Eurosif. 2014. European SRI Study 2014. Brussels: European Sustainable Investment Forum.
   Google Scholar
• Faff, R. W., and T. J. Brailsford. 1999. “Oil Price Risk and the Australian Stock Market.” Journal of Energy Finance & Development 4: 69–87. doi:10.1016/S1085-7443(99)00005-8.
   Google Scholar
• Ferderer, J. P. 1996. “Oil Price Volatility and the Macroeconomy.” Journal of Macroeconomics 18: 1–26. doi:10.1016/S0164-0704(96)80001-2.
   Web of Science ®Google Scholar
• Fernandez-Serrano, J., and S. Sosvilla-Rivero. 2003. “Modelling the Linkages between US and Latin American Stock Markets.” Applied Economics 35: 1423–1434. doi:10.1080/0003684032000100409.
   Web of Science ®Google Scholar
• Gisser, M., and T. H. Goodwin. 1986. “Crude Oil and the Macroeconomy: Tests of Some Popular Notions: Note.” Journal of Money, Credit and Banking 18: 95–103. doi:10.2307/1992323.
   Web of Science ®Google Scholar
• Godfrey, L. G. 1978. “Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables.” Econometrica 46: 1293–1302. doi:10.2307/1913829.
   Web of Science ®Google Scholar
• Granger, C. W. J. 1969. “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods.” Econometrica 37: 424–438. doi:10.2307/1912791.
   Web of Science ®Google Scholar
• Hamilton, J. D. 1983. “Oil and the Macroeconomy since World War II.” Journal of Political Economy 91: 228–248. doi:10.1086/261140.
   Web of Science ®Google Scholar
• Hamilton, J. D., and A. M. Herrera. 2004. “Oil Shocks and Aggregate Macroeconomic Behavior: The Role of Monetary Policy: A Comment.” Journal of Money, Credit and Banking 36: 265–286. doi:10.1353/mcb.2004.0012.
   Web of Science ®Google Scholar
• Hammoudeh, S., and E. Aleisa. 2004. “Dynamic Relationships Among GCC Stock Markets and NYMEX Oil Futures.” Contemporary Economic Policy 22: 250–269. doi:10.1093/cep/byh018.
   Web of Science ®Google Scholar
• Henriques, I., and P. Sadorsky. 2008. “Oil Prices and the Stock Prices of Alternative Energy Companies.” Energy Economics 30: 998–1010. doi:10.1016/j.eneco.2007.11.001.
   Web of Science ®Google Scholar
• Hiemstra, C., and J. D. Jones. 1994. “Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation.” The Journal of Finance 49: 1639–1664.
   Web of Science ®Google Scholar
• Hira, A., and L. G. Oliveira. 2009. “No Substitute for Oil? How Brazil Developed its Ethanol Industry.” Energy Policy 37: 2450–2456. doi:10.1016/j.enpol.2009.02.037.
   Web of Science ®Google Scholar
• Hooker, M. A. 1996. “What Happened to the Oil-Price Macroeconomy Relationship?” Journal of Monetary Economics 38: 195–213. doi:10.1016/S0304-3932(96)01281-0.
   Web of Science ®Google Scholar
• Hooker, M. A. 2002. “Are Oil Shocks Inflationary?: Asymmetric and Nonlinear Specifications versus Changes in Regime.” Journal of Money, Credit and Banking 34: 540–561. doi:10.1353/mcb.2002.0041.
   Web of Science ®Google Scholar
• Hsieh, D. 1991. “Chaos and Nonlinear Dynamics: Application to Financial Markets.” The Journal of Finance 46: 1839–1877. doi:10.1111/j.1540-6261.1991.tb04646.x.
   Web of Science ®Google Scholar
• Huang, R. D., R. W. Masulis, and H. R. Stoll. 1996. “Energy Shocks and Financial Markets.” Journal of Futures Markets 16: 1–27. doi:10.1002/(SICI)1096-9934(199602)16:1<1::AID-FUT1>3.0.CO;2-Q.
   Web of Science ®Google Scholar
• IFC (International Finance Corporation). 2011. Assessing and Unlocking the Value of Emerging Markets Sustainability Indices. Washington, DC: The International Finance Corporation.
   Google Scholar
• Jarque, C. M., and A. K. Bera. 1987. “A Test for Normality of Observations and Regression Residuals.” International Statistical Review 55: 163–172. doi:10.2307/1403192.
   Web of Science ®Google Scholar
• Johansen, S. 1995. Likelihood-Based Inference in Cointegrated Vector Autoregressive Models. Oxford: Oxford University Press.
   Google Scholar
• Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., and Y. Shin. 1992. “Testing the Null Hypothesis of Stationarity against the Alternative of a Unit Root.” Journal of Econometrics 54: 159–178. doi:10.1016/0304-4076(92)90104-Y.
   Web of Science ®Google Scholar
• Lee, B. R., K. Lee, and R. A. Ratti. 2001. “Monetary Policy, Oil Price Shocks, and the Japanese Economy.” Japan and the World Economy 13: 321–349. doi:10.1016/S0922-1425(01)00065-2.
   Web of Science ®Google Scholar
• Ljung, G. M., and G. E. P. Box. 1978. “On a Measure of Lack of Fit in Time Series Models.” Biometrika 65: 297–303. doi:10.1093/biomet/65.2.297.
   Web of Science ®Google Scholar
• MMA (Brazilian Ministry of Environment). 2012. Meio ambiente: brasileiro está mais consciente. Accessed September 25 2014. http://www.mma.gov.br/informma/item/8386-o-que-o-brasileiro-pensa-do-meio-ambiente-e-do-consumo-sustentável
   Google Scholar
• Mork, K. A. 1989. “Oil and the Macroeconomy When Prices Go up and Down: An Extension of Hamilton’s Results.” Journal of Political Economy 97: 740–744. doi:10.1086/261625.
   Web of Science ®Google Scholar
• Naifar, N., and M. S. Al Dohaiman. 2013. “Nonlinear Analysis among Crude Oil Prices, Stock Markets’ Return and Macroeconomic Variables.” International Review of Economics & Finance 27: 416–431. doi:10.1016/j.iref.2013.01.001.
   Web of Science ®Google Scholar
• Narayan, P. K., and S. S. Sharma. 2011. “New Evidence on Oil Price and Firm Returns.” Journal of Banking & Finance 35: 3253–3262. doi:10.1016/j.jbankfin.2011.05.010.
   Web of Science ®Google Scholar
• Nazlioglu, S. 2011. “World Oil and Agricultural Commodity Prices: Evidence from Nonlinear Causality.” Energy Policy 39: 2935–2943. doi:10.1016/j.enpol.2011.03.001.
   Web of Science ®Google Scholar
• Nelson, D. 1991. “Conditional Heteroskedasticity in Asset Returns: A New Approach.” Econometrica 59: 347–370. doi:10.2307/2938260.
   Web of Science ®Google Scholar
• Ohanian, L. E. 1988. “The Spurious Effects of Unit Roots on Vector Autoregressions: A Monte Carlo Study.” Journal of Econometrics 39: 251–266. doi:10.1016/0304-4076(88)90058-9.
   Web of Science ®Google Scholar
• Papapetrou, E. 2001. “Oil Price Shocks, Stock Markets, Economic Activity and Employment in Greece.” Energy Economics 23: 511–532. doi:10.1016/S0140-9883(01)00078-0.
   Web of Science ®Google Scholar
• Park, J., and R. A. Ratti. 2008. “Oil Price Shocks and Stock Markets in the U.S. and 13 European Countries.” Energy Economics 30: 2587–2608. doi:10.1016/j.eneco.2008.04.003.
   Web of Science ®Google Scholar
• Park, J. Y., and P. C. B. Phillips. 1989. “Statistical Inference in Regressions with Integrated Processes: Part 2.” Econometric Theory 5: 95–131. doi:10.1017/S0266466600012287.
   Web of Science ®Google Scholar
• Paz, M. J. 2014. “Oil and Development in Brazil: Between an Extractive and an Industrialization Strategy.” Energy Policy 73: 501–511. doi:10.1016/j.enpol.2014.06.021.
   Web of Science ®Google Scholar
• Phillips, P. C. B., and P. Perron. 1988. “Testing for a Unit Root in Time Series Regressions.” Biometrika 75: 335–346. doi:10.1093/biomet/75.2.335.
   Web of Science ®Google Scholar
• Rafailidis, P., and C. Katrakilidis. 2014. “The Relationship Between Oil Prices and Stock Prices: A Nonlinear Asymmetric Cointegration Approach.” Applied Financial Economics 24: 793–800. doi:10.1080/09603107.2014.907476.
   Google Scholar
• Reis, L., R. Meurer, and S. Da Silva. 2010. “Stock Returns and Foreign Investment in Brazil.” Applied Financial Economics 20: 1351–1361. doi:10.1080/09603107.2010.498342.
   Google Scholar
• Renneboog, L., J. T. Horst, and C. Zhang. 2008. “Socially Responsible Investments: Institutional Aspects, Performance, and Investor Behavior.” Journal of Banking & Finance 32: 1723–1742. doi:10.1016/j.jbankfin.2007.12.039.
   Web of Science ®Google Scholar
• Sadorsky, P. 1999. “Oil Price Shocks and Stock Market Activity.” Energy Economics 21: 449–469. doi:10.1016/S0140-9883(99)00020-1.
   Web of Science ®Google Scholar
• Sadorsky, P. 2001. “Risk Factors in Stock Returns of Canadian Oil and Gas Companies.” Energy Economics 23: 17–28. doi:10.1016/S0140-9883(00)00072-4.
   Web of Science ®Google Scholar
• Sadorsky, P. 2014. “Modeling Volatility and Conditional Correlations Between Socially Responsible Investments, Gold and Oil.” Economic Modelling 38: 609–618. doi:10.1016/j.econmod.2014.02.013.
   Web of Science ®Google Scholar
• Sarwar, G., and W. Khan. forthcoming. The Effect of US Stock Market Uncertainty on Emerging Market Returns, Emerging Markets Finance and Trade. Accessed 2 August 2016. doi:10.1080/1540496X.2016.1180592.
   Google Scholar
• Schaeffer, R., Borba, B. S. M. C., Rathmann, R., Szklo, A., and D. A. Castelo Branco. 2012. “Dow Jones Sustainability Index Transmission to Oil Stock Market Returns: A GARCH Approach.” Energy 45: 933–943. doi:10.1016/j.energy.2012.06.066.
   Web of Science ®Google Scholar
• Schwarz, G. 1978. “Estimating the Dimension of a Model.” The Annals of Statistics 6: 461–464. doi:10.1214/aos/1176344136.
   Web of Science ®Google Scholar
• Sims, C. A., J. H. Stock, and M. W. Watson. 1990. “Inference in Linear Time Series Models with Some Unit Roots.” Econometrica 58: 113–144. doi:10.2307/2938337.
   Web of Science ®Google Scholar
• Soucek, M., and N. Todorova. 2013. “Economic Significance of Oil Price Changes on Russian and Chinese Stock Markets.” Applied Financial Economics 23: 561–571. doi:10.1080/09603107.2012.732685.
   Google Scholar
• Toda, H. Y., and P. C. B. Phillips. 1993. “The Spurious Effect of Unit Roots on Vector Autoregressions: An Analytical Study.” Journal of Econometrics 59: 229–255. doi:10.1016/0304-4076(93)90024-Y.
   Web of Science ®Google Scholar
• Toda, H. Y., and P. C. B. Phillips. 1994. “Vector Autoregression and Causality: A Theoretical Overview and Simulation Study.” Econometric Reviews 13: 259–285. doi:10.1080/07474939408800286.
   Google Scholar
• Toda, H. Y., and T. Yamamoto. 1995. “Statistical Inference in Vector Autoregressions with Possibly Integrated Processes.” Journal of Econometrics 66: 225–250. doi:10.1016/0304-4076(94)01616-8.
   Web of Science ®Google Scholar
• US SIF. 2010. Report on Socially Responsible Investing Trends in the United States: 2010. Washington, DC: The Forum for Sustainable and Responsible Investment.
   Google Scholar
• US SIF. 2014. Report on US Sustainable, Responsible and Impact Investing Trends: 2014. Washington, DC: The Forum for Sustainable and Responsible Investment.
   Google Scholar
• White, H. 1980. “A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity.” Econometrica 48: 817–838. doi:10.2307/1912934.
   Web of Science ®Google Scholar
• Zhang, Y.-J., and Y.-M. Wei. 2010. “The Crude Oil Market and the Gold Market: Evidence for Cointegration, Causality and Price Discovery.” Resources Policy 35: 168–177. doi:10.1016/j.resourpol.2010.05.003.
   Web of Science ®Google Scholar