Research Article
BibTex RIS Cite

THE EFFECT OF BALTIC DRY INDEX AND DOLLAR INDEX ON ISTANBUL FREIGHT INDEX: INVESTİGATİON WİTH VAR ANALYSIS

Year 2025, Volume: 27 Issue: IERFM 2025 Özel Sayı, 227 - 252, 14.03.2025
https://doi.org/10.26468/trakyasobed.1515540

Abstract

Maritime transportation, the most widely used mode of transportation in international trade, is both cost-effective and offers the ability to deliver goods and services over a wide area. It plays a significant role, particularly in the transport of dry cargo, bulk cargo, and iron and steel products. The freight rates for these bulk cargos are tracked by the Baltic Dry Index (BDI), with its daily value reported by the London-based Baltic Exchange. This index is regarded as a leading economic indicator in financial markets, similar to stock and commodity markets. This study focuses on the impact of the Baltic Dry Index (BDI) and the Dollar Index (DXY), which are key indicators in maritime trade, on the Istanbul Freight Index (ISTFIX). The study examines weekly data from the period between 2008 and 2024 using VAR analysis and Granger causality tests. According to the research results, as expected, the Baltic Dry Index positively affects the Istanbul Freight Index. On the other hand, the Dollar Index negatively affects the Istanbul Freight Index and is found to be a weak determinant. Furthermore, the causality results obtained within the scope of the study indicate a bidirectional causality relationship between BDI and ISTFIX.

References

  • Açık, A., ve Başer, S. Ö. (2018a). Baltık Kuru Yük Endeksi etkin mi? Journal of Yasar University, 13(50), 140-149. https://doi.org/10.19168/jyasar.368149
  • Açık, A., Başer, S. Ö., ve Ertürk, E. (2018b). What tiggers the ISTFIX bubbles? Uluslararası Ekonomi ve Yenilik Dergisi, 4(2), 119-135. https://doi.org/10.20979/ueyd.434031
  • Açık, A. (2019). Volatility spillover from global container freight indices to port throughputs in Turkey. Uluslararası Ekonomi ve Yenilik Dergisi, 5(1), 101-113. https://doi.org/10.20979/ueyd.519545
  • Açık, A., ve Başer, S. Ö. (2020). Asymmetric Causality from commodity prices to shippping markets: An empirical research on ISTFIX region. World Review of International Transportation Research, 9(1), 47-62. https://doi.org/10.1504/WRITR.2020.106445
  • Bai, X. (2021). Tanker freight rates and economic policy uncertainty: A waveletbasedcopula approach. Energy, 235. https://doi.org/10.1016/j.energy.2021.121383
  • Bakshi, G., Panayotoy, G., ve Skoulakis, G. (2011). The Baltic Dry Index as a predictor of global stock returns, commodity returns and global economic activity. Chicago Meeting Paper, http://dx.doi.org/10.2139/ssrn.1787757
  • Bandyopadhyay, A., ve Rajib, P. (2023). The aymmetric relationship between Baltic Dry Index and commodity spot prices: Evidence from nonparametric Causality-in-Quantiles test. Mineral Economics, 36, 217-237, https://doi.org/10.1007/s13563-021-00287-y
  • Başer, S. Ö., ve Açık, A. (2018). Stock market as an indicator of maritime transport demand: An evidence from Turkey and ISTFIX region. Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 20(4), 77-88. https://doi.org/10.21180/iibfdkastamonu.463354
  • Barut, A., Görgün, M. R., ve Erdoğdu, A. (2020). Baltık Kuru Yük Endeksi ve Dow Jones demir-çelik endeksi arasındaki ilişki. İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 9(3), 3019-3033. https://doi.org/10.15869/itobiad.700223
  • Bildirici, M. E., Kayıkçı, F., ve Onat, I. Ş. (2015). Baltic Dry Index as a major economic policy indicator: The relationship with economic growth. Social and Behavioral Sciences, 210, 416-424. https://doi.org/10.1016/j.sbspro.2015.11.389
  • Chen, J., ve Abdullah, M. G. (2019). Research and analysis of international shipping market freight index. CICTP 2019, 34-42 https://doi:10.1061/9780784482292.004
  • Chi, J. (2018). Asymmetric effects of exchange rate and income changes on maritime freight flows between Japan and the US. Transport Policy, 69, 158-169. https://doi.org/10.1016/j.tranpol.2018.05.019
  • Drobetz, W., Gavriilidis, K., Krokida, S.İ., Tsouknidis, D. (2020). The effects of geopolitical risk and economic policy uncertainty on dry bulk shipping freight rates. Applied Economics, 53(19), 2218-2229. https://doi.org/10.1080/00036846.2020.1857329
  • Dickey, D. A., ve Fuller, W. A. (1979). Distribution of the estimators forautoregressive time series with a unit root”, Journal of the American Statistical Association, 74, 427-431. https://doi.org/10.2307/2286348
  • Emeç, A. S. (2021). Türkiye’nin deniz yolu ihracatını etkileyen faktörler. Tarsus Üniversitesi Uygulamalı Bilimler Fakültesi Dergisi, 1(2), 1-14.
  • Eryüzlü, H. (2019). Dünya deniz ticareti ve Türkiye dış ticareti ilişkileri: Ekonometrik bir analiz. The Journal of Social Science, 3(5), 152-162. https://doi.org/10.30520/tjsosci.524826
  • Ghiorghe, B., Gianina, C., ve Iona, S. (2019). Application of autoregressive models for forecasting the Baltic Exchange Dry Index. Constanta Maritime University Annals, 20(2), 205-208.
  • Giannarakis, G., Lemonakis, C., Sormas, A., ve GEeorganakis, C. (2017). The effect of Baltic Dry Index, gold, oil and USA trade balance on Dow Jones Sustainability Index World. International Journal of Economics and Financial Issues, 7(5), 155-160.
  • Ghosh, S., Lee, L. H., ve Ng, S. Z. (2015). Bunkering decisions for a shipping liner in an uncertain environment with service contract. European Journal of Operational Research, 244, 792-802. https://doi.org/10.1016/j.ejor.2015.02.012
  • Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-Spectral Methods. Econometrica, 37(3), 424-438.
  • Grenee, W. H. (2002). Econometric Analysis. Prentice Hall, 5th Edition, New Jersey.
  • Haigh, M. S., ve Holt, M. T. (2002). Hedging foreign currency, freight, and commodity futures portfolios-A note. Journal of Futures Markets, 22(12), 1205-1221. https://doi.org/10.1002/fut.10050
  • Höl, A. Ö., Akyıldırım, E., Kılıçaslan, Ş., ve Çınar, K. (2022). Baltık Kuru Yük Endeksi, petrol, altın, dolar, MSCI dünya endeksi arasındaki volatilite yayılımı. Ekonomi, Politika & Finans Araştırmaları Dergisi, 7(2), 386-406. https://doi.org/10.30784/epfad.1089836
  • İstanbul Navlun Endeksi (ISTFIX), http://istfix.com/hakkimizda, (29.04.2024)
  • Jurun, E., Ratkovic, N., ve Moro, F. (2015). The Baltic Dry Index and performance excellence in a crisis environment. Croatian Operational Research Review CRORR, 6(2), 335-346. https://doi.org/10.17535/crorr.2015.0026
  • Karakadılar, İ. S. (2022). Kuru dökme yük taşımacılığı piyasasının geleceğine dair öngörüler. KMÜ Sosyal ve Ekonomik Araştırmalar Dergisi, 24(43), 634-654.
  • Keating, J. W. (1990). “Identifying VAR models under rational expectations. Journal of Monetary Economics, 25(3), 453-476. https://doi.org/10.1016/0304-3932(90)90063
  • Khan, K., Su, C. W., Tao, R., ve Umar, M. (2021). How often do oil prices and tanker freight rates depend on global uncertainty? Regional Studies in Marine Science, 48. https://doi.org/10.1016/j.rsma.2021.102043
  • Kim, C. B. (2016). Impact of exchange rate movements, global economic activity and the BDI volatility on loaded prt cargo throughput in South Korea. The Asian Journal of Shipping and Logistics, 32(4), 243-248. https://doi.org/10.1016/j.ajsl.2016.12.008
  • Köseoğlu, D. S., ve Mercangöz, A. B. (2012). 2008 küresel finansal krizinin küçük tonaj gelirleri üzerindeki etkisinin yapısal kırılma testi ile araştırılması. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, 4(1), 25-38.
  • Lin, A. J., Chang, H. Y., ve Hsiao, J. L. (2019). Does the Baltic Dry Index drive volatility spillovers in the commodities, currency or stock markets? Transportation Research Part E: Logistics and Transportation Review, 127, 265-283. https://doi.org/10.1016/j.tre.2019.05.013
  • Lin, F., ve Sim, N. C. S. (2013), Trade, income and the Baltic Dry Index. European Economic Review, 59, 1-18. https://doi.org/10.1016/j.euroecorev.2012.12.004
  • Liyan, H., Li, W., ve Yang, X. (2020). Can the Baltic Dry Index predict foreign exchange rates? Finance Research Letters, 32. https://doi.org/10.1016/j.frl.2019.04.014
  • Lun, Y. V., Lai, K. H., ve Cheng, T. E. (2010). Shipping and Logistics Management, Springer, London, UK. Lütkepohl, H. (2007). Econometric analysis with vector autoregressive models. European University Institute Working Papers Eco, 2007/11, 1-56.
  • Memeişoğlu, R., ve Sigali, S. (2023). Volatility transmission between container and dry bulk freight market during the covid-19 pandemic. Journal of ETA Maritime Science, 11(2), 127-135. https://10.4274/jems.2023.66487
  • Nomikos, N. K., ve Doctor, K. (2013). Economic significance of market timing rules in the Forward Freight Agreement markets. Transportation Research, Part E 52, 77-93. https://doi.org/10.1016/j.tre.2012.11.009
  • Palaios, P., Triantafyllou, A., ve Zombanakis, G. (2024). Economic and geopolitical uncertainty vs energy variables: exploring connectedness in the LNG freight market. Maritime Policy & Management. https://doi.org/10.1080/03088839.2024.2342784
  • Phillips, P. C., ve Perron, P. (1988). Testing for a unit root in Time series regression. Biometrika, 75(2), 335-346. https://doi.org/10.2307/2336182
  • Pouliasis, P. K., ve Bentsos, C. (2024). Oil price uncertainty and the relation to tanker shipping. International Journal of Finance & Economics, 29(2), 1175-2555. https://doi.org/10.1002/ijfe.2792
  • Ruan, Q., Wang, Y., Lu, X., ve Qin J. (2016). Cross-correlations between Baltic Dry Index and crude oil prices. Physica A: Statistical Mechanics and its Applications, 453, 278-289. https://doi.org/10.1016/j.physa.2016.02.018
  • Salar, A. (2022). Asymmetric reflection of shocks in Baltic Dry Index to Istanbul Freight Index Acta Natura Et Scientia, 3(1), 15-23. https://doi.org/10.29329/actanatsci.2022.351.02
  • Saraç, M., Zeren, F., ve Başar, R. (2015). Küresel altın fiyatlarıyla ABD ek beslenme yardımı harcamaları ve Baltık Kuru Yük Endeksi arasındaki etkileşim. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 44(1), 12-20.
  • Slack, B., ve Gouvernal, E. (2011). Container freight rates and the role of surcharges. Journal of Transport Geography, 19, 1482-1489. https://doi.org/10.1016/j.jtrangeo.2011.09.003
  • Su, M., Nie, Y., Li, J., Yang, L., ve Kim, W. (2024). Future markets and the Baltic Dry Index: A prediction study based on deep Learning. Research in International Business and Finance, 71, 1-20. https://doi.org/10.1016/j.ribaf.2024.102447
  • Tarı, R., ve Bozkurt, H. (2006). Türkiye’de istikrarsız büyümenin VAR modelleriyle analizi (1991.1-2004.3). İstanbul Üniversitesi İktisat Fakültesi Ekonometri ve İstatistik Dergisi, 4, 12-28.
  • Tang, O., ve Sun, P-W. (2018). Anti-competition of ocean shipping alliances: a legal perspective. Maritime Business Review, 3(1), 4-19. https://doi.org/10.1108/MABR-08-2017-0023
  • Tsioumas, V., ve Papadimitriou, S. (2018). The dynamic relationship between freight markets and commondity prices revealed. Maritime Economics & Logistics, 20(4), 267-279 https://doi.org/10.1057/s41278-016-0005-0
  • Tuzcuoğlu, T., ve Gençer, H. (2023). Forecasting the China container freight Index with ensemble models. JOEEP: Journal of Emerging Economies and Policy, 8(2), 416-423.
  • UNCTAD, (2023). Review of maritime transport, United Nations, Geneva, https://unctad.org/system/files/official-document/rmt2023_en.pdf. (01.05.2024)
  • Ünal G., ve Köseoğlu D. S. (2014). Revealing the freight market risk in ISTFIX shipping area. International Journal Shipping and Transport Logistics, 6(6), 593-610. https://doi.org/10.1504/IJSTL.2014.064904
  • Xie, G., Liu, S., Dong, H. ve Huang, X. (2024). Interval froecasting of Baltic Dry Index within a secondary decomposition-emsemble methodology. Applied Soft Computing Journal, 166, 1-16.
  • Yazgan, Ş., Karademir, C., ve Ceylan, R. (2023). Belirsizliğin uluslararası ticaret üzerindeki asimetrik etkileri: NARDL modeline dayalı ampirik bir inceleme. Fiscaoeconomia, 7(3), 2090-2109. https://doi.org/10.25295/fsecon.1286611
  • Yılmaz, T., ve Emir, S. (2021). Petrol fiyatları ve Baltık Kuru Yük Endeksinin hisse senedi piyasaları üzerindeki etkilerinin incelenmesi: Ekonometrik bir araştırma. Uluslararası İşletme, Ekonomi ve Yönetim Perspektifleri Dergisi, 5(2), 861-876.
  • Yurdakul, E. M., ve Şipal, Y. Z. (2022). Deniz yoluyla ihracat, Baltık Kuru Yük Endeksi ve ham petrol fiyatları ilişkisi: Türkiye örneği. Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 44, 351-368.
  • Zeren, F., ve Kahramaner, H. (2019). Baltık Kuru Yük Endeksi ile İstanbul Navlun Endeksi arasındaki etkileşimin incelenmesi: Ekonometrik bir uygulama. Journal of International Management, Educational and Economics Perspectives, 7(1), 68-79.
  • Zhao, H. M., He, H. D., Lu, K. F., Han, X. L., Ding, L., ve Peng, Z. R. (2022). Measuring the impact of an exogenous factor: An exponential smoothingmodel of the response of shipping to COVID-19. Transport Policy, 118, 91-100. https://doi.org/10.1016/j.tranpol.2022.01.015

BALTIK KURU YÜK ENDEKSİ VE DOLAR ENDEKSİNİN İSTANBUL NAVLUN ENDEKSİ ÜZERİNDEKİ ETKİSİ: VAR ANALİZİ İLE İNCELENMESİ

Year 2025, Volume: 27 Issue: IERFM 2025 Özel Sayı, 227 - 252, 14.03.2025
https://doi.org/10.26468/trakyasobed.1515540

Abstract

Uluslararası ticarette en yaygın kullanılan taşıma türü olan denizyolu taşımacılığı hem maliyet açısından avantajlıdır hem de geniş bir alana mal ve hizmet sunma imkânı sağlar. Özellikle kuru yük, kuru dökme yük ve demir-çelik gibi ürünlerin taşımasında önemli rol oynamaktadır. Bu ürünlerden kuru dökme yük navlun oranları Baltık Kuru Yük Endeksi (BDI) ile izlenir ve günlük değeri Londra merkezli Baltic Exchange tarafından raporlanır. Bu endeks, hisse senedi ve emtia piyasaları gibi mali piyasaların önde gelen ekonomik göstergesi olarak kabul edilmektedir. Bu çalışmada deniz ticaretine yön veren göstergelerden Baltık Kuru Yük Endeksi (BDI) ve Dolar Endeksinin (DXY) İstanbul Navlun Endeksi (ISTFIX) üzerindeki etkisine odaklanmaktadır. Çalışma kapsamında 2008 – 2024 dönemi arası haftalık veriler VAR analizi ve Granger nedensellik testleri kullanılarak incelenmiştir. Araştırmanın sonuçlarına göre, beklentiler doğrultusunda Baltık kuru yük endeksinin İstanbul navlun endeksini pozitif yönde etkilemektedir. Diğer taraftan, dolar endeksinin ise İstanbul navlun endeksini negatif yönde etkilediği ve zayıf bir belirleyicisi olduğu tespit edilmiştir. Ayrıca çalışma kapsamında elde edilen nedensellik sonuçlarında BDI ile ISTFIX arasında çift yönlü nedensellik ilişkisinin olduğuna ulaşılmıştır.

References

  • Açık, A., ve Başer, S. Ö. (2018a). Baltık Kuru Yük Endeksi etkin mi? Journal of Yasar University, 13(50), 140-149. https://doi.org/10.19168/jyasar.368149
  • Açık, A., Başer, S. Ö., ve Ertürk, E. (2018b). What tiggers the ISTFIX bubbles? Uluslararası Ekonomi ve Yenilik Dergisi, 4(2), 119-135. https://doi.org/10.20979/ueyd.434031
  • Açık, A. (2019). Volatility spillover from global container freight indices to port throughputs in Turkey. Uluslararası Ekonomi ve Yenilik Dergisi, 5(1), 101-113. https://doi.org/10.20979/ueyd.519545
  • Açık, A., ve Başer, S. Ö. (2020). Asymmetric Causality from commodity prices to shippping markets: An empirical research on ISTFIX region. World Review of International Transportation Research, 9(1), 47-62. https://doi.org/10.1504/WRITR.2020.106445
  • Bai, X. (2021). Tanker freight rates and economic policy uncertainty: A waveletbasedcopula approach. Energy, 235. https://doi.org/10.1016/j.energy.2021.121383
  • Bakshi, G., Panayotoy, G., ve Skoulakis, G. (2011). The Baltic Dry Index as a predictor of global stock returns, commodity returns and global economic activity. Chicago Meeting Paper, http://dx.doi.org/10.2139/ssrn.1787757
  • Bandyopadhyay, A., ve Rajib, P. (2023). The aymmetric relationship between Baltic Dry Index and commodity spot prices: Evidence from nonparametric Causality-in-Quantiles test. Mineral Economics, 36, 217-237, https://doi.org/10.1007/s13563-021-00287-y
  • Başer, S. Ö., ve Açık, A. (2018). Stock market as an indicator of maritime transport demand: An evidence from Turkey and ISTFIX region. Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 20(4), 77-88. https://doi.org/10.21180/iibfdkastamonu.463354
  • Barut, A., Görgün, M. R., ve Erdoğdu, A. (2020). Baltık Kuru Yük Endeksi ve Dow Jones demir-çelik endeksi arasındaki ilişki. İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 9(3), 3019-3033. https://doi.org/10.15869/itobiad.700223
  • Bildirici, M. E., Kayıkçı, F., ve Onat, I. Ş. (2015). Baltic Dry Index as a major economic policy indicator: The relationship with economic growth. Social and Behavioral Sciences, 210, 416-424. https://doi.org/10.1016/j.sbspro.2015.11.389
  • Chen, J., ve Abdullah, M. G. (2019). Research and analysis of international shipping market freight index. CICTP 2019, 34-42 https://doi:10.1061/9780784482292.004
  • Chi, J. (2018). Asymmetric effects of exchange rate and income changes on maritime freight flows between Japan and the US. Transport Policy, 69, 158-169. https://doi.org/10.1016/j.tranpol.2018.05.019
  • Drobetz, W., Gavriilidis, K., Krokida, S.İ., Tsouknidis, D. (2020). The effects of geopolitical risk and economic policy uncertainty on dry bulk shipping freight rates. Applied Economics, 53(19), 2218-2229. https://doi.org/10.1080/00036846.2020.1857329
  • Dickey, D. A., ve Fuller, W. A. (1979). Distribution of the estimators forautoregressive time series with a unit root”, Journal of the American Statistical Association, 74, 427-431. https://doi.org/10.2307/2286348
  • Emeç, A. S. (2021). Türkiye’nin deniz yolu ihracatını etkileyen faktörler. Tarsus Üniversitesi Uygulamalı Bilimler Fakültesi Dergisi, 1(2), 1-14.
  • Eryüzlü, H. (2019). Dünya deniz ticareti ve Türkiye dış ticareti ilişkileri: Ekonometrik bir analiz. The Journal of Social Science, 3(5), 152-162. https://doi.org/10.30520/tjsosci.524826
  • Ghiorghe, B., Gianina, C., ve Iona, S. (2019). Application of autoregressive models for forecasting the Baltic Exchange Dry Index. Constanta Maritime University Annals, 20(2), 205-208.
  • Giannarakis, G., Lemonakis, C., Sormas, A., ve GEeorganakis, C. (2017). The effect of Baltic Dry Index, gold, oil and USA trade balance on Dow Jones Sustainability Index World. International Journal of Economics and Financial Issues, 7(5), 155-160.
  • Ghosh, S., Lee, L. H., ve Ng, S. Z. (2015). Bunkering decisions for a shipping liner in an uncertain environment with service contract. European Journal of Operational Research, 244, 792-802. https://doi.org/10.1016/j.ejor.2015.02.012
  • Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-Spectral Methods. Econometrica, 37(3), 424-438.
  • Grenee, W. H. (2002). Econometric Analysis. Prentice Hall, 5th Edition, New Jersey.
  • Haigh, M. S., ve Holt, M. T. (2002). Hedging foreign currency, freight, and commodity futures portfolios-A note. Journal of Futures Markets, 22(12), 1205-1221. https://doi.org/10.1002/fut.10050
  • Höl, A. Ö., Akyıldırım, E., Kılıçaslan, Ş., ve Çınar, K. (2022). Baltık Kuru Yük Endeksi, petrol, altın, dolar, MSCI dünya endeksi arasındaki volatilite yayılımı. Ekonomi, Politika & Finans Araştırmaları Dergisi, 7(2), 386-406. https://doi.org/10.30784/epfad.1089836
  • İstanbul Navlun Endeksi (ISTFIX), http://istfix.com/hakkimizda, (29.04.2024)
  • Jurun, E., Ratkovic, N., ve Moro, F. (2015). The Baltic Dry Index and performance excellence in a crisis environment. Croatian Operational Research Review CRORR, 6(2), 335-346. https://doi.org/10.17535/crorr.2015.0026
  • Karakadılar, İ. S. (2022). Kuru dökme yük taşımacılığı piyasasının geleceğine dair öngörüler. KMÜ Sosyal ve Ekonomik Araştırmalar Dergisi, 24(43), 634-654.
  • Keating, J. W. (1990). “Identifying VAR models under rational expectations. Journal of Monetary Economics, 25(3), 453-476. https://doi.org/10.1016/0304-3932(90)90063
  • Khan, K., Su, C. W., Tao, R., ve Umar, M. (2021). How often do oil prices and tanker freight rates depend on global uncertainty? Regional Studies in Marine Science, 48. https://doi.org/10.1016/j.rsma.2021.102043
  • Kim, C. B. (2016). Impact of exchange rate movements, global economic activity and the BDI volatility on loaded prt cargo throughput in South Korea. The Asian Journal of Shipping and Logistics, 32(4), 243-248. https://doi.org/10.1016/j.ajsl.2016.12.008
  • Köseoğlu, D. S., ve Mercangöz, A. B. (2012). 2008 küresel finansal krizinin küçük tonaj gelirleri üzerindeki etkisinin yapısal kırılma testi ile araştırılması. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, 4(1), 25-38.
  • Lin, A. J., Chang, H. Y., ve Hsiao, J. L. (2019). Does the Baltic Dry Index drive volatility spillovers in the commodities, currency or stock markets? Transportation Research Part E: Logistics and Transportation Review, 127, 265-283. https://doi.org/10.1016/j.tre.2019.05.013
  • Lin, F., ve Sim, N. C. S. (2013), Trade, income and the Baltic Dry Index. European Economic Review, 59, 1-18. https://doi.org/10.1016/j.euroecorev.2012.12.004
  • Liyan, H., Li, W., ve Yang, X. (2020). Can the Baltic Dry Index predict foreign exchange rates? Finance Research Letters, 32. https://doi.org/10.1016/j.frl.2019.04.014
  • Lun, Y. V., Lai, K. H., ve Cheng, T. E. (2010). Shipping and Logistics Management, Springer, London, UK. Lütkepohl, H. (2007). Econometric analysis with vector autoregressive models. European University Institute Working Papers Eco, 2007/11, 1-56.
  • Memeişoğlu, R., ve Sigali, S. (2023). Volatility transmission between container and dry bulk freight market during the covid-19 pandemic. Journal of ETA Maritime Science, 11(2), 127-135. https://10.4274/jems.2023.66487
  • Nomikos, N. K., ve Doctor, K. (2013). Economic significance of market timing rules in the Forward Freight Agreement markets. Transportation Research, Part E 52, 77-93. https://doi.org/10.1016/j.tre.2012.11.009
  • Palaios, P., Triantafyllou, A., ve Zombanakis, G. (2024). Economic and geopolitical uncertainty vs energy variables: exploring connectedness in the LNG freight market. Maritime Policy & Management. https://doi.org/10.1080/03088839.2024.2342784
  • Phillips, P. C., ve Perron, P. (1988). Testing for a unit root in Time series regression. Biometrika, 75(2), 335-346. https://doi.org/10.2307/2336182
  • Pouliasis, P. K., ve Bentsos, C. (2024). Oil price uncertainty and the relation to tanker shipping. International Journal of Finance & Economics, 29(2), 1175-2555. https://doi.org/10.1002/ijfe.2792
  • Ruan, Q., Wang, Y., Lu, X., ve Qin J. (2016). Cross-correlations between Baltic Dry Index and crude oil prices. Physica A: Statistical Mechanics and its Applications, 453, 278-289. https://doi.org/10.1016/j.physa.2016.02.018
  • Salar, A. (2022). Asymmetric reflection of shocks in Baltic Dry Index to Istanbul Freight Index Acta Natura Et Scientia, 3(1), 15-23. https://doi.org/10.29329/actanatsci.2022.351.02
  • Saraç, M., Zeren, F., ve Başar, R. (2015). Küresel altın fiyatlarıyla ABD ek beslenme yardımı harcamaları ve Baltık Kuru Yük Endeksi arasındaki etkileşim. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 44(1), 12-20.
  • Slack, B., ve Gouvernal, E. (2011). Container freight rates and the role of surcharges. Journal of Transport Geography, 19, 1482-1489. https://doi.org/10.1016/j.jtrangeo.2011.09.003
  • Su, M., Nie, Y., Li, J., Yang, L., ve Kim, W. (2024). Future markets and the Baltic Dry Index: A prediction study based on deep Learning. Research in International Business and Finance, 71, 1-20. https://doi.org/10.1016/j.ribaf.2024.102447
  • Tarı, R., ve Bozkurt, H. (2006). Türkiye’de istikrarsız büyümenin VAR modelleriyle analizi (1991.1-2004.3). İstanbul Üniversitesi İktisat Fakültesi Ekonometri ve İstatistik Dergisi, 4, 12-28.
  • Tang, O., ve Sun, P-W. (2018). Anti-competition of ocean shipping alliances: a legal perspective. Maritime Business Review, 3(1), 4-19. https://doi.org/10.1108/MABR-08-2017-0023
  • Tsioumas, V., ve Papadimitriou, S. (2018). The dynamic relationship between freight markets and commondity prices revealed. Maritime Economics & Logistics, 20(4), 267-279 https://doi.org/10.1057/s41278-016-0005-0
  • Tuzcuoğlu, T., ve Gençer, H. (2023). Forecasting the China container freight Index with ensemble models. JOEEP: Journal of Emerging Economies and Policy, 8(2), 416-423.
  • UNCTAD, (2023). Review of maritime transport, United Nations, Geneva, https://unctad.org/system/files/official-document/rmt2023_en.pdf. (01.05.2024)
  • Ünal G., ve Köseoğlu D. S. (2014). Revealing the freight market risk in ISTFIX shipping area. International Journal Shipping and Transport Logistics, 6(6), 593-610. https://doi.org/10.1504/IJSTL.2014.064904
  • Xie, G., Liu, S., Dong, H. ve Huang, X. (2024). Interval froecasting of Baltic Dry Index within a secondary decomposition-emsemble methodology. Applied Soft Computing Journal, 166, 1-16.
  • Yazgan, Ş., Karademir, C., ve Ceylan, R. (2023). Belirsizliğin uluslararası ticaret üzerindeki asimetrik etkileri: NARDL modeline dayalı ampirik bir inceleme. Fiscaoeconomia, 7(3), 2090-2109. https://doi.org/10.25295/fsecon.1286611
  • Yılmaz, T., ve Emir, S. (2021). Petrol fiyatları ve Baltık Kuru Yük Endeksinin hisse senedi piyasaları üzerindeki etkilerinin incelenmesi: Ekonometrik bir araştırma. Uluslararası İşletme, Ekonomi ve Yönetim Perspektifleri Dergisi, 5(2), 861-876.
  • Yurdakul, E. M., ve Şipal, Y. Z. (2022). Deniz yoluyla ihracat, Baltık Kuru Yük Endeksi ve ham petrol fiyatları ilişkisi: Türkiye örneği. Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 44, 351-368.
  • Zeren, F., ve Kahramaner, H. (2019). Baltık Kuru Yük Endeksi ile İstanbul Navlun Endeksi arasındaki etkileşimin incelenmesi: Ekonometrik bir uygulama. Journal of International Management, Educational and Economics Perspectives, 7(1), 68-79.
  • Zhao, H. M., He, H. D., Lu, K. F., Han, X. L., Ding, L., ve Peng, Z. R. (2022). Measuring the impact of an exogenous factor: An exponential smoothingmodel of the response of shipping to COVID-19. Transport Policy, 118, 91-100. https://doi.org/10.1016/j.tranpol.2022.01.015
There are 56 citations in total.

Details

Primary Language Turkish
Subjects Financial Markets and Institutions
Journal Section Articles
Authors

Meltem Kılıç 0000-0001-8978-9076

Aydın Gürbüz 0000-0002-2428-2327

Publication Date March 14, 2025
Submission Date July 13, 2024
Acceptance Date February 27, 2025
Published in Issue Year 2025 Volume: 27 Issue: IERFM 2025 Özel Sayı

Cite

APA Kılıç, M., & Gürbüz, A. (2025). BALTIK KURU YÜK ENDEKSİ VE DOLAR ENDEKSİNİN İSTANBUL NAVLUN ENDEKSİ ÜZERİNDEKİ ETKİSİ: VAR ANALİZİ İLE İNCELENMESİ. Trakya Üniversitesi Sosyal Bilimler Dergisi, 27(IERFM 2025 Özel Sayı), 227-252. https://doi.org/10.26468/trakyasobed.1515540
AMA Kılıç M, Gürbüz A. BALTIK KURU YÜK ENDEKSİ VE DOLAR ENDEKSİNİN İSTANBUL NAVLUN ENDEKSİ ÜZERİNDEKİ ETKİSİ: VAR ANALİZİ İLE İNCELENMESİ. Trakya Üniversitesi Sosyal Bilimler Dergisi. March 2025;27(IERFM 2025 Özel Sayı):227-252. doi:10.26468/trakyasobed.1515540
Chicago Kılıç, Meltem, and Aydın Gürbüz. “BALTIK KURU YÜK ENDEKSİ VE DOLAR ENDEKSİNİN İSTANBUL NAVLUN ENDEKSİ ÜZERİNDEKİ ETKİSİ: VAR ANALİZİ İLE İNCELENMESİ”. Trakya Üniversitesi Sosyal Bilimler Dergisi 27, no. IERFM 2025 Özel Sayı (March 2025): 227-52. https://doi.org/10.26468/trakyasobed.1515540.
EndNote Kılıç M, Gürbüz A (March 1, 2025) BALTIK KURU YÜK ENDEKSİ VE DOLAR ENDEKSİNİN İSTANBUL NAVLUN ENDEKSİ ÜZERİNDEKİ ETKİSİ: VAR ANALİZİ İLE İNCELENMESİ. Trakya Üniversitesi Sosyal Bilimler Dergisi 27 IERFM 2025 Özel Sayı 227–252.
IEEE M. Kılıç and A. Gürbüz, “BALTIK KURU YÜK ENDEKSİ VE DOLAR ENDEKSİNİN İSTANBUL NAVLUN ENDEKSİ ÜZERİNDEKİ ETKİSİ: VAR ANALİZİ İLE İNCELENMESİ”, Trakya Üniversitesi Sosyal Bilimler Dergisi, vol. 27, no. IERFM 2025 Özel Sayı, pp. 227–252, 2025, doi: 10.26468/trakyasobed.1515540.
ISNAD Kılıç, Meltem - Gürbüz, Aydın. “BALTIK KURU YÜK ENDEKSİ VE DOLAR ENDEKSİNİN İSTANBUL NAVLUN ENDEKSİ ÜZERİNDEKİ ETKİSİ: VAR ANALİZİ İLE İNCELENMESİ”. Trakya Üniversitesi Sosyal Bilimler Dergisi 27/IERFM 2025 Özel Sayı (March 2025), 227-252. https://doi.org/10.26468/trakyasobed.1515540.
JAMA Kılıç M, Gürbüz A. BALTIK KURU YÜK ENDEKSİ VE DOLAR ENDEKSİNİN İSTANBUL NAVLUN ENDEKSİ ÜZERİNDEKİ ETKİSİ: VAR ANALİZİ İLE İNCELENMESİ. Trakya Üniversitesi Sosyal Bilimler Dergisi. 2025;27:227–252.
MLA Kılıç, Meltem and Aydın Gürbüz. “BALTIK KURU YÜK ENDEKSİ VE DOLAR ENDEKSİNİN İSTANBUL NAVLUN ENDEKSİ ÜZERİNDEKİ ETKİSİ: VAR ANALİZİ İLE İNCELENMESİ”. Trakya Üniversitesi Sosyal Bilimler Dergisi, vol. 27, no. IERFM 2025 Özel Sayı, 2025, pp. 227-52, doi:10.26468/trakyasobed.1515540.
Vancouver Kılıç M, Gürbüz A. BALTIK KURU YÜK ENDEKSİ VE DOLAR ENDEKSİNİN İSTANBUL NAVLUN ENDEKSİ ÜZERİNDEKİ ETKİSİ: VAR ANALİZİ İLE İNCELENMESİ. Trakya Üniversitesi Sosyal Bilimler Dergisi. 2025;27(IERFM 2025 Özel Sayı):227-52.

Trakya University Journal of Social Sciences is licensed under Creative Commons Attribution 4.0.