The relationship between commodity prices and freight rates in the dry bulk shipping segment: A threshold regression approach

Maritime Transport Research - Tập 2 - Trang 100025 - 2021
Konstantinos D. Melas1, Nektarios A. Michail2
1Faculty of Business and Economics, Metropolitan College, Thessaloniki, Greece and Cyprus Centre for Business Research, Nicosia, Cyprus
2Economic Analysis and Research Department, Central Bank of Cyprus, School of Economics and Business, Cyprus University of Technology and Cyprus Centre for Business Research, Nicosia, Cyprus

Tài liệu tham khảo

Agarwal, 2020, Commodity prices and bank lending, Econ. Inq., 58, 953, 10.1111/ecin.12836 Alexandridis, 2018, A survey of shipping finance research: setting the future research agenda, Transp. Res. Part E, 115, 164, 10.1016/j.tre.2018.04.001 Andrews, 1993, Tests for parameter instability and structural change with unknown change point., Econometrica, 61, 821, 10.2307/2951764 Andrews, 1994, Optimal tests when a nuisance parameter is present only under the alternative, Econometrica, 62, 1383, 10.2307/2951753 Angelopoulos, 2020, Commodity and transportation economic market interactions revisited: new evidence from a dynamic factor model, Transp. Res. Part E, 133, 10.1016/j.tre.2019.101836 Bai, 1997, Estimating Multiple Breaks One at a Time, Econometric Theory, 13, 315, 10.1017/S0266466600005831 Bai, 1998, Estimating and testing linear models with multiple structural changes, Econometrica, 66, 47, 10.2307/2998540 Bai, 2003, Computation and analysis of multiple structural change models, J. Appl. Econom., 18, 1, 10.1002/jae.659 Bai, 2003, Critical values for multiple structural change tests, Econom. J., 6, 72, 10.1111/1368-423X.00102 Basak, 2016, A model of financialization of commodities, J. Finance, 71, 1511, 10.1111/jofi.12408 Baumeister, 2001, Bad is stronger than good, Rev. Gen. Psychol., 5, 323, 10.1037/1089-2680.5.4.323 Beber, 2010, When it cannot get better or worse: the asymmetric impact of good and bad news on bond returns in expansions and recessions, Rev. Finance, 14, 119, 10.1093/rof/rfp006 Beresford, 2011, Multimodal supply chains: iron ore from Australia to China, Supply Chain Manage., 16, 32, 10.1108/13598541111103485 Bhar, 2011, Commodities and financial variables: analyzing relationships in a changing regime environment, Int. Rev. Econo. Finance, 20, 469, 10.1016/j.iref.2010.07.011 Browne, 2010, Commodity prices, money and inflation, J. Econ. Bus., 62, 331, 10.1016/j.jeconbus.2010.02.003 Bruno, 2017, The financialization of food?, Am. J. Agric. Econ., 99, 243, 10.1093/ajae/aaw059 Chow, 1960, Tests of equality between sets of coefficients in two linear regressions, Econometrica, 28, 591, 10.2307/1910133 Cullinane, 1991, Who's using biffex? Results from a survey of shipowners, Mar. Policy Manage., 18, 79, 10.1080/03088839100000032 Dunt, 2009 Dutta, 2020, Assessment and optimization of clean energy equity risks and commodity price volatility indexes: implications for sustainability, J. Clean. Prod., 243, 10.1016/j.jclepro.2019.118669 Fernández, 2017, World shocks, world prices, and business cycles: an empirical investigation, J. Int. Econ., 108, S2, 10.1016/j.jinteco.2017.01.001 Gennaioli, 2015, Neglected risks: the psychology of financial crises, Am. Econ. Rev., 105, 310, 10.1257/aer.p20151091 Goulas, 2012, Are freight futures markets efficient? Evidence from IMAREX, Int. J. Forecast., 28, 644, 10.1016/j.ijforecast.2011.11.004 Grammenos, 2002, Macroeconomic factors and international shipping stock returns, Int. J. Mar. Econ., 4, 81 Haigh, 2000, The effect of barge and ocean freight price volatility in international grain markets, Agric. Econ., 25, 41, 10.1111/j.1574-0862.2001.tb00234.x Hansen, 2001, The new econometrics of structural change: dating breaks in U.S. labor productivity, J. Econ. Perspect., 15, 117, 10.1257/jep.15.4.117 Henderson, 2015, New evidence on the financialization of commodity markets, Rev. Financ. Stud., 28, 1285, 10.1093/rfs/hhu091 IMF. (2020). IMF primary commodity prices. https://www.imf.org/en/Research/commodity-prices. Isbell, 2020, The cost of forward contracting in the Mississippi barge freight river market, Agribusiness, 36, 226, 10.1002/agr.21611 Jarque, 1980, Efficient tests for normality, homoscedasticity and serial independence of regression residuals, Econ. Lett., 6, 255, 10.1016/0165-1765(80)90024-5 Kalouptsidi, 2014, Time to build and fluctuations in bulk shipping, Am. Econ. Rev., 104, 564, 10.1257/aer.104.2.564 Kamber, 2020, Global factors and trend inflation, J. Int. Econ., 122, 10.1016/j.jinteco.2019.103265 Kavussanos, 2000, Futures hedging when the structure of the underlying asset changes: the case of the BIFFEX contract, J. Futures Mark., 20, 775, 10.1002/1096-9934(200009)20:8<775::AID-FUT4>3.0.CO;2-4 Kavussanos, 2014, Economic spillovers between related derivatives markets: the case of commodity and freight markets, Transp. Res. Part E, 68, 79, 10.1016/j.tre.2014.05.003 Kilian, L., Nomikos, N., & Zhou, X. (2020). A Quantitative model of the oil tanker market in the Arabian Gulf. In Federal Reserve Bank of Dallas, Working Papers (No. 8332). https://doi.org/10.24149/wp2015. Kim, 2002, Ten years after the enactment of the Oil Pollution Act of 1990: a success or a failure, Mar. Policy, 26, 197, 10.1016/S0308-597X(02)00002-7 Kristiansen, 2004 Lahmiri, 2017, Asymmetric and persistent responses in price volatility of fertilizers through stable and unstable periods, Phys. A, 466, 405, 10.1016/j.physa.2016.09.036 Maghyereh, 2020, The tail dependence structure between investor sentiment and commodity markets, Resour. Policy, 68, 10.1016/j.resourpol.2020.101789 Meade, R. (2021). Maritime markets outlook: shipping's game of snakes and ladders. Lloyd's List. https://lloydslist.maritimeintelligence.informa.com/LL1136333/Maritime-Markets-Outlook-Shippings-game-of-snakes-and-ladders. Melas, 2020, Sentiment augmented supply and demand equations for the dry bulk shipping market, SSRN Electron. J., 1 Michail, 2020, World economic growth and seaborne trade volume: quantifying the relationship, Transp. Res. Interdiscip. Perspect., 4 Michail, 2020, Quantifying the relationship between seaborne trade and shipping freight rates: a Bayesian vector autoregressive approach, Mar. Transp. Res., 1 Michail, 2021, COVID-19 and the energy trade: evidence from tanker trade routes, SSRN Electron. J., 1 Michail, 2021, Market interactions between agricultural commodities and the dry bulk shipping market, Asian J. Ship. Logist., 37, 73, 10.1016/j.ajsl.2020.07.003 Michail, 2021, Container shipping trade and real GDP growth: a panel vector autoregressive approach, Econ. Bull., 41, 304 Nomikos, 2019, Disentangling demand and supply shocks in the shipping freight market : their impact on net contracting, IAME, 1 Papapostolou, 2014, Investor sentiment for real assets: the case of dry bulk shipping market, Rev. Finance, 18, 1507, 10.1093/rof/rft037 Papapostolou, 2016, Shipping investor sentiment and international stock return predictability, Transp. Res. Part E, 96, 81, 10.1016/j.tre.2016.10.006 Perron, 2006, Dealing with Structural Breaks, 278 Prokopczuk, 2011, Pricing and hedging in the freight futures market, J. Futures Mark., 31, 440, 10.1002/fut.20480 Quandt, 1960, Tests of the hypothesis that a linear regression system obeys two separate regimes, J. Am. Statist. Assoc., 55, 324, 10.1080/01621459.1960.10482067 Schnepf, R. (2006). Price determination in agricultural commodity markets: a primer. http://nationalaglawcenter.org/wp-content/uploads/assets/crs/RL33204.pdf. Segal, 2015, Good and bad uncertainty: macroeconomic and financial market implications, J. Financ. Econ., 117, 369, 10.1016/j.jfineco.2015.05.004 Stopford, 2013, Maritime economics Sun, 2018, Combination hedging strategies for crude oil and dry bulk freight rates on the impacts of dynamic cross-market interaction, Mar. Policy Manage., 45, 174, 10.1080/03088839.2017.1418092 Theodossiou, 2020, Freight rates in downside and upside markets: pricing of own and spillover risks from other shipping segments, J. R. Stat. Soc., 183, 1097, 10.1111/rssa.12553 Tong, 2011, Threshold models in time series analysis — 30 years on, Stat. Interface, 4, 107, 10.4310/SII.2011.v4.n2.a1 Trace, 2008, Bulk commodity logistics, 441 Tsioumas, 2018, The dynamic relationship between freight markets and commodity prices revealed, Mar. Econ. Logist., 20, 267, 10.1057/s41278-016-0005-0 Tsouknidis, 2016, Dynamic volatility spillovers across shipping freight markets, Transp. Res. Part E, 91, 90, 10.1016/j.tre.2016.04.001 2019, Review of maritime transport 2019 Volpe, 2013 Wetzstein, 2020, Transportation costs: Mississippi River barge rates, J. Commodity Mark., 100123 Yao, 1988, Estimating the number of change-points via Schwarz’ criterion, Stat. Probab. Lett., 6, 181, 10.1016/0167-7152(88)90118-6 Yu, 2007, Price dynamics in U.S. grain and freight markets, Can. J. Agric. Econ., 55, 381, 10.1111/j.1744-7976.2007.00098.x