| [1] |
Alizadeh A H, Muradoglu G. Stock market efficiency and international shipping-market information[J]. Journal of International Financial Markets, Institutions and Money, 2014, 33: 445-461.
|
| [2] |
Spence M. Job market signaling[J]. The Quarterly Journal of Economics, 1973, 87(3): 355-374.
|
| [3] |
Kilian L, Park C. The impact of oil price shocks on the u.s. stock market[J]. International Economic Review, 2009, 50(4): 1267-1287.
|
| [4] |
Kavussanos M, Visvikis I, Dimitrakopoulos D. Information linkages between Panamax freight derivatives and commodity derivatives markets[J]. Maritime Economics & Logistics, 2010, 12(1): 91-110.
|
| [5] |
Papailias F, Thomakos D D, Liu J. The Baltic Dry Index: Cyclicalities, forecasting and hedging strategies[J]. Empirical Economics, 2016, 52(1): 255-282.
|
| [6] |
Tsioumas V, Papadimitriou S. The dynamic relationship between freight markets and commodity prices revealed[J]. Maritime Economics & Logistics, 2018, 20(2): 267-279.
|
| [7] |
孟斌, 李寅洁, 包玉. 基于LT-TVP-VAR模型的中美贸易战对航运市场的时变影响研究[J]. 科研管理, 2023, 44(9): 182-192.
|
|
Meng B, Li Y J, Bao Y. An empirical study of the time-varying impact of the China-US trade war on the shipping market based on the LT-TVP-VAR Model[J]. Science Research Management, 2023, 44(9): 182-192.
|
| [8] |
Baruník J, Křehlík T. Measuring the frequency dynamics of financial connectedness and systemic risk[J]. Journal of Financial Econometrics, 2018, 16(2): 271-296.
|
| [9] |
孟斌, 廉荣文隽, 隋聪, 等. 重大事件是否影响了航运市场溢出传递的稳定性[J]. 中国管理科学, 2023, 31(11): 46-57.
|
|
Meng B, Lian R W J, Sui C, et al. Do major events affect the stability of shipping market spillover and transmission?[J]. Chinese Journal of Management Science, 2023, 31(11): 46-57.
|
| [10] |
Chen Y, Xu J, Miao J. Dynamic volatility contagion across the Baltic dry index, iron ore price and crude oil price under the COVID-19: A copula-VAR-BEKK-GARCH-X approach[J]. Resources Policy, 2023, 81: 103296.
|
| [11] |
Adland R, Prochazka V. The value of timecharter optionality in the drybulk market[J]. Transportation Research Part E: Logistics and Transportation Review, 2021, 145: 102185.
|
| [12] |
Wårell L. An analysis of iron ore prices during the latest commodity boom[J]. Mineral Economics, 2018, 31(1): 203-216.
|
| [13] |
Lim K G. Endogeneity of commodity price in freight cost models[J]. Journal of Commodity Markets, 2022, 26: 100217.
|
| [14] |
Yang D, Zhang L, Luo M, et al. Does shipping market affect international iron ore trade?An equilibrium analysis[J]. Transportation Research Part E: Logistics and Transportation Review, 2020, 144: 102107.
|
| [15] |
隋聪, 赵越, 孙晓倩, 等. 航运与大宗商品的跨市场影响——来自铁矿石及其航线的证据[J]. 系统工程理论与实践, 2022, 42(3): 713-723.
|
|
Sui C, Zhao Y, Sun X Q, et al. Cross-market impacts of shipping and bulk commodities-The evidence from iron ore and its routes[J]. Systems Engineering —Theory & Practice, 2022, 42(3): 713-723.
|
| [16] |
Kavussanos M G, Visvikis I D, Dimitrakopoulos D N. Economic spillovers between related derivatives markets: The case of commodity and freight markets[J]. Transportation Research Part E: Logistics and Transportation Review, 2014, 68: 79-102.
|
| [17] |
Michail N A, Melas K D. Market interactions between agricultural commodities and the dry bulk shipping market[J]. The Asian Journal of Shipping and Logistics, 2021, 37(1): 73-81.
|
| [18] |
Dai X, Wang Q, Zha D, et al. Multi-scale dependence structure and risk contagion between oil, gold, and US exchange rate: A wavelet-based vine-copula approach[J]. Energy Economics, 2020, 88: 104774.
|
| [19] |
Meng B, Chen S, Haralambides H, et al. Information spillovers between carbon emissions trading prices and shipping markets: A time-frequency analysis[J]. Energy Economics, 2023, 120: 106604.
|
| [20] |
Percival D B, Walden A T. Wavelet Methods for Time SeriesAnalysis[M]. Cambridge: Cambridge University Press, 2000.
|
| [21] |
Diebold F X, Yilmaz K. Better to give than to receive: Predictive directional measurement of volatility spillovers[J]. International Journal of Forecasting, 2012, 28(1): 57-66.
|
| [22] |
宫晓莉, 贾凯文, 熊熊. 加密货币与全球股市的尾部风险传染研究—基于复杂网络的视角[J]. 中国管理科学, 2025,33(9): 33-45.
|
|
Gong X L, Jia K W, Xiong X. Tail risk contagion research on cryptocurrencies and global stock markets:based on the perspective of complex network[J]. Chinese Journal of Management Science, 2025,33(9): 33-45.
|
| [23] |
罗长青, 刘澜, 朱慧明, 等. 基于多尺度信息份额模型的原油市场定价能力动态演变研究[J]. 中国管理科学, 2024, 32(6): 1-12.
|
|
Luo C Q, Liu L, Zhu H M, et al. An empirical study on the dynamic evolution of crude oil market pricing power based on multi-scale information share model[J]. Chinese Journal of Management Science, 2024, 32(6): 1-12.
|
| [24] |
孟斌, 林晓倩, 匡海波, 等. 经济政策不确定性对航运市场与金融市场的长记忆联动影响[J]. 系统工程理论与实践, 2023, 43(7): 1927-1945.
|
|
Meng B, Lin X Q, Kuang H B, et al. Research on the long memory linkage effect of economic policy uncertainty on shipping market and financial market[J]. Systems Engineering-Theory & Practice, 2023, 43(7): 1927-1945.
|
| [25] |
Giamouzi M, Nomikos N K. Identifying shipowners’ risk attitudes over gains and losses: Evidence from the dry bulk freight market[J]. Transportation Research Part E: Logistics and Transportation Review, 2021, 145: 102129.
|
| [26] |
孟斌, 张欣, 匡海波, 等. 基于政府调控的绿色智慧港口转型演化及扩散研究[J]. 中国管理科学, 2022, 30(8): 21-35.
|
|
Meng B, Zhang X, Kuang H B, et al. Study on the evolutionary game and diffusion of green smart port construction under government regulation[J]. Chinese Journal of Management Science, 2022, 30(8): 21-35.
|
| [27] |
刘映琳, 方艳, 杨金强. 我国粮食与能源的跨市场风险传染及外部冲击[J].中国管理科学,2024, 32(11): 103-114.
|
|
Liu Y L, Fang Y, Yang J Q. Cross-market risk contagion and external shocks of China’s food energy[J]. Chinese Journal of Management Science, 2024, 32(11): 103-114.
|