Alexandridis, 2018, A survey of shipping finance research: Setting the future research agenda. Transportation research Part E, Logistics & Transportation Review, 115, 164, 10.1016/j.tre.2018.04.001
Alexandridis, 2017, Economic information transmissions and liquidity between shipping markets: New evidence from freight derivatives, Transportation Research Part E, 98, 82, 10.1016/j.tre.2016.12.007
Aliyev, 2020, Modelling asymmetric market volatility with univariate GARCH models: Evidence from Nasdaq-100, The Journal of Economic Asymmetries, 22, 1
Alizadeh, 2013, Trading volume and volatility in the shipping forward freight market, Transportation Research Part E, 49, 250, 10.1016/j.tre.2012.08.001
Alizadeh, 2015, Liquidity effects and FFA returns in the international shipping derivatives market, Transportation Research Part E, 76, 58, 10.1016/j.tre.2015.02.001
Alizadeh, 2006, Trading strategies in the market for tankers, Maritime Policy & Management, 33, 119, 10.1080/03088830600612799
Andriosopoulos, 2013, Portfolio optimization and index tracking for the shipping stock and freight markets using evolutionary algorithms, Transportation Research Part E: Logistics and Transportation Review, 52, 16, 10.1016/j.tre.2012.11.006
Antonakakis, 2014, Dynamic spillovers of oil price shocks and economic policy uncertainty, Energy Econ, 44, 433, 10.1016/j.eneco.2014.05.007
Atukeren, 2021, Volatility spillovers between WTI and brent spot crude oil prices: An analysis of granger causality in variance patterns over time, Research in International Business and Finance, 56, 1
Bams, 2017, Does oil and gold price uncertainty matter for the stock market?, Journal of Empirical Finance, 44, 270, 10.1016/j.jempfin.2017.07.003
Batchelor, 2007, Forecasting spot and forward prices in the international freight market, International Journal of Forecasting, 23, 101, 10.1016/j.ijforecast.2006.07.004
Bollerslev, 1986, Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, 31, 307, 10.1016/0304-4076(86)90063-1
Boyer, 2007, Common and fundamental factors in stock returns of Canadian oil and gas companies, Energy Economics, 29, 428, 10.1016/j.eneco.2005.12.003
Brooks, 2003, Information criteria for GARCH model selection, The European Journal of Finance, 9, 557, 10.1080/1351847021000029188
Campbell, 1997
Charles, 2014, Volatility persistence in crude oil markets, Energy Policy, 65, 729, 10.1016/j.enpol.2013.10.042
Chen, 2020, The pass-through effects of oil price shocks on China’s inflation: A time-varying analysis, Energy Economics, 86, 1, 10.1016/j.eneco.2020.104695
Conrad, 2014, On the macroeconomic determinants of long-term volatilities and correlations in US stock and crude oil markets, Journal of Empirical Finance, 29, 26, 10.1016/j.jempfin.2014.03.009
Corbet, 2020, Co-movements and spillovers of oil and renewable firms under extreme conditions: New evidence from negative WTI prices during COVID-19, Energy Economics, 92, 1, 10.1016/j.eneco.2020.104978
Dées, 2007, Modelling the world oil market: Assessment of a quarterly econometric model, Energy Policy, 35, 178, 10.1016/j.enpol.2005.10.017
Demirer, 2020, The predictive power of oil price shocks on realized volatility of oil: A note, Resources Policy, 69, 1
Dickey, 1979, Distribution of the estimators for autoregressive time series with a unit root, Journal of the American Statistical Association, 74, 427, 10.1080/01621459.1979.10482531
Ding, 1993, A long memory property of stock market returns and a new model, Journal of Empirical Finance, 1, 83, 10.1016/0927-5398(93)90006-D
Drobetz, 2010, Common risk factors in the returns of shipping stocks, Maritime Policy & Management, 37, 93, 10.1080/03088830903533726
Dyhrberg, 2015, Bitcoin, gold and the dollar – a GARCH volatility analysis, Finance Research Letters, 1–8
Ehouman, 2020, Volatility transmission between oil prices and banks' stock prices as a new source of instability: Lessons from the United States experience, Economic Modelling, 91, 198, 10.1016/j.econmod.2020.06.009
Engle, 1982, Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation, Econometrica, 50, 987, 10.2307/1912773
Enders, 2001, Cointegration and threshold adjustment, Journal of Business & Economic Statistics, 19, 166, 10.1198/073500101316970395
Engle, 1999, A long-run and short-run component model of stock return volatility, 475
Evgenidis, 2017, Towards an asymmetric long run equilibrium between stock market uncertainty and the yield spread. A threshold vector error correction approach, Research in International Business and Finance, 39, 267, 10.1016/j.ribaf.2016.08.002
Ewing, 2013, Volatility transmission between gold and oil futures under structural breaks, International Review of Economics & Finance, 25, 113, 10.1016/j.iref.2012.06.008
Glosten, 1993, On the relation between the expected values and the volatility of the nominal excess return on stocks, The Journal of Finance, 48, 1779, 10.1111/j.1540-6261.1993.tb05128.x
Gogolin, 2016, Does speculation impact what factors determine oil futures prices?, Economics Letters, 144, 119, 10.1016/j.econlet.2016.05.007
Gong, 2020, Analyzing dynamic impacts of different oil shocks on oil price, Energy, 198, 1, 10.1016/j.energy.2020.117306
Granger, 1989, Investigation of production, sales and inventory relationships using multicointegration and non‐symmetric error correction models, Journal of Applied Econometrics, 4, S145, 10.1002/jae.3950040508
Huang, 2012, The effects of oil prices on the price indices in Taiwan: International or domestic oil prices matter?, Energy Policy, 45, 730, 10.1016/j.enpol.2012.03.035
Jing, 2008, An analysis of freight rate volatility in dry bulk shipping markets, Maritime Policy & Management, 35, 237, 10.1080/03088830802079987
Juvenal, 2015, Speculation in the oil market, Journal of Applied Economics, 30, 621, 10.1002/jae.2388
Kavussanos, 1996, Comparisons of volatility in the dry-cargo ship sector, Journal of Transport Economics and Policy, 30, 67
Khalfaoui, 2020, Understanding the time-frequency dynamics of money demand, oil prices and macroeconomic variables: The case of India, Resources Policy, 68, 1
Kim, 2018, Impacts of supply and demand factors on declining oil prices, Energy, 155, 1059, 10.1016/j.energy.2018.05.061
Kim, 2021, Estimating yield spreads volatility using GARCH-type models, The North American Journal of Economics and Finance, 57, 101396, 10.1016/j.najef.2021.101396
Kwiatkowski, 1992, Testing the null hypothesis of stationarity against the alternative of a unit root, Journal of Econometrics, 54, 159, 10.1016/0304-4076(92)90104-Y
Lian, 2020, Oil stocks, risk factors, and tail behavior, Energy Economics, 91, 1, 10.1016/j.eneco.2020.104932
Lin, 2021, Oil prices and economic policy uncertainty: Evidence from global, oil importers, and exporters' perspective, Research in International Business and Finance, 56, 1
Lo, 2004, The adaptive market hypothesis: Market efficiency from an evolutionary perspective, Journal of Portfolio Management, 30, 15, 10.3905/jpm.2004.442611
Maitra, 2020, Liner shipping industry and oil price volatility: Dynamic connectedness and portfolio diversification, Transportation Research Part E: Logistics and Transportation Review, 138, 101962, 10.1016/j.tre.2020.101962
Michail, 2020, Quantifying the relationship between seaborne trade and shipping freight rates: A bayesian vector autoregressive approach, Maritime Transport Research, 1, 1
Mokni, 2020, Time-varying effect of oil price shocks on the stock market returns: Evidence from oil-importing and oil-exporting countries, Energy Report, 6, 605, 10.1016/j.egyr.2020.03.002
Mu, 2011, Understanding the crude oil price: How important is the China factor?, Energy Journal, 32, 69, 10.5547/ISSN0195-6574-EJ-Vol32-No4-5
Nelson, 1991, Conditional heteroskedasticity in asset returns: A new approach, Econometrica, 347, 10.2307/2938260
Nonejad, 2021, The price of crude oil and (conditional) out-of-sample predictability of world industrial production, Journal of Commodity Markets, 10.1016/j.jcomm.2021.100167
Panayides, 2017, Reforming public port authorities through multiple concession agreements: The case of Cyprus, Research in Transportation Business & Management, 22, 58, 10.1016/j.rtbm.2016.10.002
Phillips, 1988, Testing for a unit root in time series regression, Biometrika, 75, 335, 10.1093/biomet/75.2.335
Ready, 2018, Oil prices and the stock market, Review of Finance, 22, 155, 10.1093/rof/rfw071
Siriopoulos, 2021, Lessons for Euro markets from the first wave of COVID-19, Investment Management and Financial Innovations, 18, 285, 10.21511/imfi.18(1).2021.24
Sun, 2018, Combination hedging strategies for crude oil and dry bulk freight rates on the impacts of dynamic cross-market interaction, Maritime Policy & Management, 45, 174, 10.1080/03088839.2017.1418092
Thorbecke, 2019, Oil prices and the U.S. economy: Evidence from the stock market, Journal of Macroeconomics, 61, 1
Tsagkanos, 2015, Stock markets and industrial production in north and south of Euro-zone: Asymmetric effects via threshold cointegration approach, The Journal of Economic Asymmetries, 12, 162, 10.1016/j.jeca.2015.07.001
Tsouknidis, 2016, Dynamic volatility spillovers across shipping freight markets, Transportation Research Part E, 91, 90, 10.1016/j.tre.2016.04.001
Ugochi, 2021, Time varying market efficiency in the Brent and WTI crude market, Finance Research Letters, 1
Wei, 2017, Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?, Energy Economics, 68, 141, 10.1016/j.eneco.2017.09.016
Wu, 2012, The economic value of co-movement between oil price and exchange rate using copula-based GARCH models, Energy Economics, 34, 270, 10.1016/j.eneco.2011.07.007
Yasmeen, 2019, Does oil price volatility influence real sector growth? Empirical evidence from Pakistan, Energy Report, 5, 688, 10.1016/j.egyr.2019.06.006
Zhu, 2020, Oil price shocks, investor sentiment, and asset pricing anomalies in the oil and gas industry, International Review of Financial Analysis, 70, 1, 10.1016/j.irfa.2020.101516
Zivot, 2008