Mehmet Aldonat BEYZATLAR

CAUSALITY BETWEEN DOW JONES TRANSPORTATION INDEX, CPI TRANSPORTATION INDEX AND TRANSPORTATION SERVICES INDEX

Purpose - The purpose of this study is to bridge stock index, consumer price index, and services index in transportation sector. This paperprovides an empirical evaluation of causal relations between transportation measures and their financial side as a pioneering study.Methodology - This study uses monthly data for our research exercise including United States for twenty-one years, from January 2000until June 2018. The variable of interest include Dow Jones Transportation Stock Index (DJT), Consumer Price Index: Transportation (CPIT),and Transportation Services Index (TSI).Findings- The results indicate that the causality relations are bi-directional between all variables (i) DJT and TSI, (ii) DJT and CPIT, and (iii)TSI and CPIT.Conclusion- In this paper, it is argued that the determination of a causal link between transportation measures and their financial side, andthe nature of Granger-causality may have an important policy implication for policy makers, portfolio investors, and actors intransportation sector. The strong tendency to show bi-directional Granger-causality running between variables indicates the potentiallyimportant role of transportation in stimulating finance and vice versa.

Keywords:

Transportation Services Index, Consumer Price Index, Dow Jones Transportation Index, Causality, United States Grangercausality,

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Baker, D., Merkert, R., and Kamruzzaman, M. (2015). Regional aviation and economic growth: cointegration and causality analysis in Australia. Journal of Transport Geography, 43, 140-150. DOI: 10.1016/j.jtrangeo.2015.02.001
Beyzatlar, M. A., Karacal, M., and Yetkiner, H. (2014) Granger-causality between transportation and GDP: A panel data approach. Transportation Research Part A: Policy and Practice, 63, 43-55. DOI: 10.1016/j.tra.2014.03.001
Beyzatlar, M. A., and Yetkiner, H. (2017). Convergence in transportation measures across the EU-15. Transportation, 44(5), 927-940. DOI: 10.1007/s11116-016-9686-6
Chang, Y. H. and Chang, Y. W. (2009). Air cargo expansion and economic growth: Finding the empirical link. Journal of Air Transport Management, 15(5), 264-265. DOI: 10.1016/j.jairtraman.2008.09.016
Fernandes, E. and Pacheco, R. R. (2010). The Causal Relationship between GDP and Domestic Air Passenger Traffic in Brazil. Transportation Planning and Technology, 33(7), 569-581. DOI: 10.1080/03081060.2010.512217
Granger, C. W. (1969). Investigating Causal Relations by Econometric Models and Cross-Spectral Methods. Econometrica, 37(3), 424-438.
Granger, C. W. (1988). Some recent development in a concept of causality. Journal of econometrics, 39(1-2), 199-211.
Hakim, M. M., and Merkert, R. (2016) The causal relationship between air transport and economic growth: Empirical evidence from South Asia. Journal of Transport Geography, 56, 120-127. DOI: 10.1016/j.jtrangeo.2016.09.006
Hu, Y., Xiao, J., Deng, Y., Xiao, Y., and Wang, S. (2015) Domestic air passenger traffic and economic growth in China: Evidence from heterogeneous panel models. Journal of Air Transport Management, 42, 95-100. DOI: 10.1016/j.jairtraman.2014.09.003
Mukkala, K., and Tervo, H. (2013). Air transportation and regional growth: which way does the causality run? Environment and Planning A, 45(6), 1508-1520. DOI: 10.1068/a45298
Pradhan, R. P., and Bagchi, T. P. (2013) Effect of transportation infrastructure on economic growth in India: the VECM approach. Research in Transportation Economics, 38(1), 139-148. DOI: 10.1016/j.retrec.2012.05.008
Toda, H. Y., and Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of econometrics, 66(1-2), 225-250.
Yao, V. W. (2005). The causal linkages between freight and economic fluctuations. International Journal of Transport Economics/Rivista internazionale di economia dei trasporti, 143-159.