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European Inflation and the Spanish Stock Market

Published online by Cambridge University Press:  15 September 2016

Francisco Jareño  and
Eliseo Navarro
Francisco Jareño
Affiliation:
Departamento de Análisis Económico y Finanzas, Universidad de Castilla-La Mancha, Facultad de CC Económicas y Empresariales, Plaza de la Universidad, 1, 02071–Albacete, Spain. E-mail: [email protected]
Eliseo Navarro
Affiliation:
Departamento de Ciencias Empresariales, Universidad de Alcalá, Facultad de CC Económicas y Empresariales, Plaza de la Victoria, 2, 28802, Alcalá de Henares, Madrid, Spain
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Abstract

This study examines the short-run response of daily stock prices in the Spanish market to the announcements of inflation news at a sector level at the moments when the Spanish authorities announced the IPC (consumer price index) during the period 1995–2004. The study also incorporates two novel explanatory variables: core inflation and ‘non-core’ inflation rate components on the one hand, and the spread between the Spanish and European inflation rates (harmonized) on the other hand. It is concluded that the ‘non-core’ component of the inflation rate, which is more volatile, has negative effects on some sector returns; additionally, in drawing too far apart from the European inflation rate, the Spanish inflation rate negatively affects sector returns, such as in the ‘Consumer Goods’ sector, which is subject to strong foreign competition. In the long-term analysis, the lagged core inflation (structural component) negatively affects sector returns.

Type
Spanish Stock Market
Information
European Review , Volume 24 , Issue 4 , October 2016 , pp. 609 - 630
Copyright
© Academia Europaea 2016 

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References

References and Notes

1. Barrett, W. B., Gosnell, T. F. and Heuson, A.J. (2004) Term-structure factor shifts and economic news. Financial Analysts Journal, 80(5), pp. 81–94.CrossRefGoogle Scholar
2. Boyd, J. H., Hu, J. and Jagannathan, R. (2005) The stock market’s reaction to unemployment news: why bad news is usually good for stocks. The Journal of Finance, 60(2), pp. 649–672.CrossRefGoogle Scholar
3. Díaz, A. and Jareño, F. (2009) Explanatory factors of the inflation news impact on stock returns by sector: the Spanish case. Research in International Business and Finance, 23(3), pp. 349–368.CrossRefGoogle Scholar
4. Díaz, A. and Jareño, F. (2013) Inflation news and stock returns: market direction and flow-through ability. Empirical Economics, 44(22), pp. 775–798.CrossRefGoogle Scholar
5. Galati, G. and Ho, C. (2003) Macroeconomic news and the euro/dollar exchange rate. Economic Notes, 32(3), pp. 371–398.Google Scholar
6. Poitras, M. (2004) The impact of macroeconomic announcements on stock prices: in search of state dependence. Southern Economic Journal, 70(3), pp. 549–565.Google Scholar
7. Telatar, E. and Hasanov, M. (2006) The asymmetric effects of monetary shocks: the case of Turkey. Applied Economics, 38(18), pp. 2199–2208.Google Scholar
8. Andersen, T. G., Bollerslev, T., Diebold, X. and Vega, C. (2003) Micro effects of macro announcements: real-time price discovery in foreign exchange. The American Economic Review, 93(1), pp. 38–62.Google Scholar
9. Ewing, B. T. and Payne, J. E. (2005) The response of real estate investment trust returns to macroeconomic shocks. Journal of Business Research, 58, pp. 293–300.Google Scholar
10. Flannery, M. J. and Protopapadakis, A. A. (2002) Macroeconomic factors do influence aggregate stock returns. The Review of Financial Studies, 15(3), pp. 751–782.Google Scholar
11. Funke, N. and Matsuda, A. (2006) Macroeconomic news and stock returns in the United States and Germany. German Economic Review, 7(2), pp. 189–210.Google Scholar
12. Gerlach, J. R. (2007) Macroeconomic news and stock market calendar and weather anomalies. Journal of Financial Research, 30(2), pp. 283–300.Google Scholar
13. Pearce, D. K. and Solakoglu, M. N. (2007) Macroeconomic news and exchange rates. Journal of International Financial Markets, Institutions & Money, 17(4), pp. 307–325.Google Scholar
14. Veronesi, P. (1999) Stock market overreaction to bad news in good times: a rational expectations equilibrium model. The Review of Financial Studies, 12(5), pp. 975–1007.CrossRefGoogle Scholar
15. Adams, G., McQueen, G. and Wood, R. (2004) The effects of inflation news on high frequency stock returns. Journal of Business, 77(3), pp. 547–574.Google Scholar
16. Docking, D. S. and Koch, P. D. (2005) Sensitivity of investor reaction to market direction and volatility: dividend change announcements. The Journal of Financial Research, XXVIII(1), pp. 21–40.CrossRefGoogle Scholar
17. Estep, T. and Hanson, N. (1980) The Valuation of Financial Assets in Inflation (New York: Salomon Brothers).Google Scholar
18. Asikoglu, Y. and Ercan, M. R. (1992) Inflation flow-through and stock prices. Journal of Portfolio Management, 18(3), pp. 63–68.Google Scholar
19. Jareño, F. (2005) Flow-through capability: the Spanish case. Journal of Asset Management, 6(3), pp. 191–205.Google Scholar
20. Jareño, F. and Navarro, E. (2010) Interest rate risk and inflation shocks. European Journal of Operational Research, 201(2), pp. 337–348.Google Scholar
21. Cristadoro, R., Forni, M., Reichlin, L. and Veronese, G. (2005) A core inflation indicator for the Euro Area. Journal of Money, Credit and Banking, 37(3), pp. 539–560.Google Scholar
22. Hahn, E. (2002) Core inflation in the Euro Area: evidence from the structural VAR approach. CFS (Centre for Financial Studies) Working paper No. 2001/09.Google Scholar
23. Vega, J. L. and Wynne, M. (2003) A first assessment of some measures of core inflation for the Euro Area. German Economic Review, 4(3), pp. 269–306.CrossRefGoogle Scholar
24. T. Cogley (2002) A Simple Adaptive Measure of Core Inflation. Journal of Money, Credit and Banking, 34(1), pp. 94–113.Google Scholar
25. Bagliano, F. C. and Morana, C. (2003) A common trends model of UK core inflation. Empirical Economics, 28(1), pp. 157–172.Google Scholar
26. López-Salido, J. D., Restoy, F. and Vallés, J. (2005) Inflation differentials in EMU: the Spanish case. Moneda y Crédito, No. 220, pp. 55–104.Google Scholar
27. Hogan, S., Johnson, M. and Laflèche, T. (2001) Core inflation. Technical Report No. 89 Bank of Canada.Google Scholar
28. Bauer, A., Haltom, N. and Peterman, W. (2004) Examining contributions to core consumer inflation measures. Working Paper 2004-7 Federal Reserve Bank of Atlanta.Google Scholar
29. Peach, R. W., Rich, R. and Antoniades, A. (2004) The historical and recent behavior of goods and services inflation. FRBNY Economic Policy Review.Google Scholar
30. Cecchetti, S. G. and Wynne, M. A. (2003) Inflation measurement and the ECB’s pursuit of price stability: a first assessment. Economic Policy, 18(37), pp. 395–434.CrossRefGoogle Scholar
31.This research uses the classical unit root tests, which are augmented Dickey-Fuller, Phillips-Perron and KPSS (Kwiatkowski-Phillips-Schmidt-Shin) tests. This report does not present these results for the sake of space.Google Scholar
32. Leiser, D. and Drori, S. (2005) Naïve understanding of inflation. Journal of Socio-Economics, 34, pp. 179–198.Google Scholar
33.The inflation rate is not stationary in mean, I(1), and random walk, because he ARIMA (0, 1, 0) process provides the best possible results, applying the Akaike information criterion (AIC).Google Scholar
34.This assumption is very realistic because the INE normally releases the CPI and HICP on the same date.Google Scholar
35.This study uses split-adjusted stock prices.Google Scholar
36. To see the advantages of daily data against monthly data, see, Adams, G., McQueen, G. and Wood, R. (2004) The effects of inflation news on high frequency stock returns. Journal of Business, 77(3), pp. 547–574 M. J. Flannery and A. A. Protopapadakis (2002) Macroeconomic factors do influence aggregate stock returns. The Review of Financial Studies, 15(3), pp. 751–782., and G. McQueen and V.V. Roley (1993) Stock prices, news, and business conditions. The Review of Financial Studies, 6(3), pp. 683–707.Google Scholar
37.This study assumes that the Spanish Economy publishes inflation announcements before the closing time of the stock exchange market.Google Scholar
38.The classical unit-root tests confirm that these series are stationary in mean. This study does not report these results in the interest of brevity.Google Scholar
39. This study assumes that this number is enough to guarantee an acceptable accuracy level without important changes in the underlying probability distribution. See, Mestel, R. and Gurgul, H. (2003) ARIMA modeling of event induced stock price reactions in Austria. Central European Journal of Operations Research, 11(4), pp. 317–334.Google Scholar
40.To manage the length of this article, this study does not present these results. The spread measure herein only takes into account those changes not correlated with core and ‘non-core’ inflation rate components.Google Scholar
41. McQueen, G. and Roley, V.V. (1993) Stock prices, news, and business conditions. The Review of Financial Studies, 6(3), pp. 683–707.CrossRefGoogle Scholar
42.Please, see supplementary material (appendix) for a more detailed explanation.Google Scholar
43.High growth characterizes this study’s sample period except for 1993, which evinces an economic crisis.Google Scholar
44.Because the right-hand-side variables are the same in all the equations, the SUR estimates using GMM are the same as OLS estimates; only the standard errors differ. This work estimates the equations as SUR only to recognize explicitly that residuals are likely to be correlated.Google Scholar
45.The minimum number of companies incorporated into each sector is as follows: sector 1 (7), sector 2 (15), sector 3 (7), sector 4 (4), sector 5 (19), sector 6 (2) and the whole market (54).Google Scholar
46. Mestel, R. and Gurgul, H. (2003) ARIMA modeling of event induced stock price reactions in Austria. Central European Journal of Operations Research, 11(4), pp. 317–334.Google Scholar
47. Matilla-García, M. (2005) A SVAR model for estimating core inflation in the Euro zone. Applied Economics Letters, 12(3), pp. 149–154.Google Scholar
48. Wynne, M. and Rodríguez-Palenzuela, D. (2004) Measurement bias in the HICP: what do we know and what do we need to know? Journal of Economic Surveys, 18(1), pp. 79–112.Google Scholar
49. Jareño, F. (2008) Spanish stock market sensitivity to real interest and inflation rates. An extension of the stone two-factor model with factors of the Fama and French three-factor model. Applied Economics, 40(24), pp. 3159–3171.Google Scholar
50. Joyce, M. A. S. and Read, V. (2002) Asset price reactions to RPI announcements. Applied Financial Economics, 12, pp. 253–270.Google Scholar