TY - JOUR T1 - Analyzing the Impact of Interest Rate on Dry Bulk Freight Market with Time-Varying Causality Method TT - Faiz Oranının Kuru Dökme Yük Navlun Piyasasına Etkisinin Zamanla Değişen Nedensellik Yöntemiyle Analizi AU - Açık, Abdullah AU - Okutucu, Özhan AU - Efes, Kamil Özden AU - Başer, Sadık Özlen PY - 2021 DA - August Y2 - 2021 DO - 10.30784/epfad.798092 JF - Ekonomi Politika ve Finans Araştırmaları Dergisi JO - EPF Journal PB - Ekonomi ve Finansal Araştırmalar Derneği WT - DergiPark SN - 2587-151X SP - 403 EP - 417 VL - 6 IS - 2 LA - en AB - The interest rates significantly affect maritime markets, both with their role in determining the cost of ship investments and their role in determining the demand for goods in the world economy. We examined the impact on the freight market, which is the fundamental of other maritime markets and is much more dynamic than them. Considering that change in interest rates affects the world economy, but this effect may not survive throughout the period, we applied the analysis first with a linear approach and then with a time-varying approach. The federal funds rate is used as an indicator of global interest rates, and the Baltic Dry Index (BDI) is used as an indicator of the dry bulk freight market. As a result of analysis performed using a data set consisting of 302 monthly observations covering the period between 1995 and 2020, it was determined that the significant relationship does not exist throughout the whole sample, it exists only at certain periods, and the significant effect occurs when BDI tends to increase and decrease. Thus, it was determined that changes in interest rates not only affect the global economy but also the trend of the dry bulk freight market. KW - Interest Rate KW - Freight Market KW - Dry Bulk Shipping KW - Causality analysis N2 - Faiz oranları hem gemi yatırımlarındaki maliyeti belirleyici rolü hem de dünya ekonomisindeki mallara olan talebi belirleyici rolü ile denizcilik piyasalarını da önemli ölçüde etkilemektedir. Biz bu çalışmamızda diğer denizcilik piyasalarının temeli olan ve onlara göre çok daha dinamik yapıda olan navlun piyasasına olan etkisini incelemeyi amaçladık. Faiz oranlarındaki değişimin dünya ekonomisini etkileyeceğini ancak bu etkinin tüm dönem boyunca varlığını sürdüremeyeceğinden yola çıkarak, önce doğrusal bir yaklaşımla, daha sonra ise zamana göre değişen bir yaklaşımla analizleri uyguladık. Analizlerde küresel faiz oranlarının göstergesi olarak Federal Fon Oranı, kuru dökme yük navlunlarının göstergesi olarak ise Baltık Kuru Yük Endeksi (BKYE) kullanılmıştır. 1995 ve 2020 yılları arasını kapsayan aylık 302 gözlemden oluşan veri seti kullanılarak zamana göre değişen yaklaşım ile yapılan analizler sonucunda, anlamlı ilişkinin tüm örneklem boyunca var olmadığı, sadece belli zamanlarda görüldüğü ve anlamlı ilişkinin görüldüğü dönemlerin BKYE’nin artış ve düşüş eğilimine girdiği dönemler olduğu tespit edilmiştir. Böylece faiz oranlarındaki değişimlerin yalnızca küresel ekonomiyi etkilemekle kalmayıp, kuru dökme yük navlun piyasasının eğilimini de etkilediği belirlenmiştir. CR - Açık, A. and Ayaz, İ. S. (2018). Time varying causality between cost and price: An empirical analysis on dry bulk shipping market. Journal of Business Research-Turk, 10(4), 136-147. https://doi.org/10.20491/isarder.2018.516 CR - Açık, A. and Başer, S. Ö. (2018). An analytical study on the likely causes of the minor bubbles in the Baltic Dry Index. International Journal of Logistics Economics and Globalisation, 7(4), 353-365. https://doi.org/10.1504/IJLEG.2018.097478 CR - Açık, A. and İnce, M. R. (2019). Income and asset value relationship: A nonlinear approach to Capesize shipping market. In S. Koc, S. Yilmaz Genc and V. H Benli (Eds.), Economic issues: Global and local perspectives (pp. 35-43). UK: Cambridge International Academics. CR - Açık, A., Kesiktaş, H. H. İ. and Başer, S. Ö. (2020). Role of interest rates on fleet capacity adjustment decisions of shipowners. Ekonomi, Politika & Finans Araştırmaları Dergisi, 5(1), 66-80. https://doi.org/10.30784/epfad.642061 CR - Açık, A., Sağlam, B. B. and Tepe, R. (2019). Time-varying causality between exchange rate and container handling volume in Turkish ports. Transport & Logistics: The International Journal, 19(46), 1-11. Retrieved from http://ulpad.fberg.tuke.sk/transportlogistics/ CR - Agarwal, V. (2010). Macroeconomics: Theory and policy. India: Pearson. CR - Balcilar, M. and Ozdemir, Z. A. (2013a). Asymmetric and time‐varying causality between inflation and inflation uncertainty in G-7 countries. Scottish Journal of Political Economy, 60(1), 1-42. https://doi.org/10.1111/sjpe.12000 CR - Balcilar, M. and Ozdemir, Z. A. (2013b). The export-output growth nexus in Japan: A bootstrap rolling window approach. Empirical Economics, 44(2), 639-660. https://doi.org/10.1007/s00181-012-0562-8 CR - Bampinas, G. and Panagiotidis, T. (2015). On the relationship between oil and gold before and after financial crisis: Linear, nonlinear and time-varying causality testing. Studies in Nonlinear Dynamics & Econometrics, 19(5), 657-668. https://doi.org/10.1515/snde-2014-0060 CR - Başer, S. Ö. and Açık, A. (2019). The effects of global economic growth on dry bulk freight rates. Uluslararası Ticaret ve Ekonomi Araştırmaları Dergisi, 3(1), 1-17. https://doi.org/10.30711/utead.507566 CR - Beenstock, M. (1985). A theory of ship prices. Maritime Policy & Management: The Flagship Journal of International Shipping and Port Research, 12(3), 215-225. https://doi.org/10.1080/03088838500000028 CR - Bildirici, M. E. and Turkmen, C. (2015). Nonlinear causality between oil and precious metals. Resources Policy, 46, 202-211. https://doi.org/10.1016/j.resourpol.2015.09.002 CR - Bloomberg. (2020). Baltic dry index [Dataset]. Retrieved from https://www.bloomberg.com/professional/ CR - Branch, A. E. (2007). Elements of shipping. New York: Routledge. CR - Broock, W. A., Scheinkman, J. A., Dechert, W. D. and LeBaron, B. (1996). A test for independence based on the correlation dimension. Econometric Reviews, 15(3), 197-235. https://doi.org/10.1080/07474939608800353 CR - Fabozzi, F. J, Modigliani, F. and Jones, F.J. (2014). Foundation of financial markets and institutions (4. Edition). USA: Pearson. CR - FED. (2019). Inflation and interest rates [Dataset]. Retrieved from https://fred.stlouisfed.org/series/FEDFUNDS CR - Geman, H. (2009). Risk management in commodity markets: From shipping to agriculturals and energy (Vol. 445). USA: John Wiley & Sons. CR - Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral method. Econometrica: Journal of the Econometric Society, 424-438. https://doi.org/10.2307/1912791 CR - Inglesi-Lotz, R., Balcilar, M. and Gupta, R. (2014). Time-varying causality between research output and economic growth in US. Scientometrics, 100(1), 203-216. https://doi.org/10.1007/s11192-014-1257-z CR - Karakitsos, E. and Varnavides, L. (2014). Maritime economics: A macroeconomic approach. New York: Springer. CR - Kavussanos, M. G. and Visvikis, I. D. (2006). Shipping freight derivatives: A survey of recent evidence. Maritime Policy & Management, 33(3), 233–255. https://doi.org/10.1080/03088830600783152 CR - Langdana, F. K. (2009). Macroeconomic policy: Demystifying monetary and fiscal policy. USA: Springer. CR - Lawson, M. (2008). If not now, when? Three actions the G20 must take now to protect the World’s poor from the economic crisis and build a new political and economic governance system. USA: Oxfam. CR - Lee, J. and Strazicich, M. C. (2003). Minimum lagrange multiplier unit root test with two structural breaks. The Review of Economics and Statistics, 85(4), 1082-1089. https://doi.org/10.1162/003465303772815961 CR - Lee, J. and Strazicich, M. C. (2013). Minimum LM unit root test with one structural break. Economics Bulletin, 33(4), 2483-2492. Retrieved from http://www.accessecon.com/ CR - Li, X. L., Balcilar, M., Gupta, R. and Chang, T. (2016). The causal relationship between economic policy uncertainty and stock returns in China and India: Evidence from a bootstrap rolling window approach. Emerging Markets Finance and Trade, 52(3), 674-689. https://doi.org/10.1080/1540496X.2014.998564 CR - Ma, S. (2020). Economics of maritime business. New York: Routledge. CR - Narayan, P. K. and Popp, S. (2010). A new unit root test with two structural breaks in level and slope at unknown time. Journal of Applied Statistics, 37(9), 1425-1438. https://doi.org/ 10.1080/02664760903039883 CR - Poulakidas, A. and Joutz, F. (2009). Exploring the link between oil prices and tanker rates. Maritime Policy & Management, 36(3), 215-233. https://doi.org/10.1080/03088830902861094 CR - Shen, C. W. and Chou, C. C. (2015, August). Temporal causality between dry bulk freight and crude oil price. Paper presented at the International Association of Maritime Economists (IAME) conference, Kuala Lumpur, Malaysia. CR - Strandenes, S. P. (1984). Price determination in the time charter and second hand markets (Center for Applied Research, Norwegian School of Economics and Business Administration, Working Paper MU, 6). Retrieved from https://www.econbiz.de/ CR - Şahin, B., Gürgen, S., Ünver, B. and Altin, I. (2018). Forecasting the Baltic Dry Index by using an artificial neural network approach. Turkish Journal of Electrical Engineering & Computer Sciences, 26(3), 1673-1684. Retrieved from https://dergipark.org.tr/tr/pub/tbtkelektrik CR - UNCTAD. (2018). Review of maritime transport 2018. Retrieved from https://unctad.org/system/files/official-document/rmt2018_en.pdf CR - United Nations. (2009). World economic situation and prospects 2009 (World economic and social survey supplement). Retrieved from https://www.un.org/es/file/71089/download?toke n=TbJO7hmb CR - Vermeulen, K. J. (2010). Framing a canvas for shipping strategy. In C. Grammenos (Ed.), The handbook of maritime economics and business (pp. 851-888). London: Lloyd’s List. CR - Yin, J., M. Luo and L. Fan. (2017). Dynamics and interactions between spot and forward freights in the dry bulk shipping market. Maritime Policy & Management, 44(2), 271–288. https://doi.org/10.1080/03088839.2016.1253884 CR - Youngjae, C. and Hyunsok, K. (2016). The spillover from asset determinants to ship price. The Korea Port Economic Association, 32(2), 59-71. Retrieved from https://www.koreascience.or.kr/ CR - Zannetos, Z. S. (1966). The theory of oil tankship rates. USA: Massachusetts Institute of Technology. CR - Zivot, E. and Andrews, D. W. K. (2002). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 20(1), 25-44. https://doi.org/ 10.2307/1391541 UR - https://doi.org/10.30784/epfad.798092 L1 - https://dergipark.org.tr/tr/download/article-file/1302365 ER -