| Reference: | 一、中文部分
1. 林宏銘 (2010)，「美元、股票市場、債券市場及商品市場之互動關係研究」，國立成功大學財務金融研究所碩士論文。
2. 陳玉樹 (2011)，「原物料指數與股市、匯市之關聯性的研究」，國立政治大學金融研究所碩士論文。
3. 張瀞之、劉錫謙 (2012)，「時間序列方法探討波羅的海綜合運價指數與運輸類股之研究─以美國與臺灣為研究對象」，台灣銀行季刊，第六十一卷第二期，頁191∼207。
4. 陳永順 (2012)，「散裝船經營學-理論與實務」，麗文文化事業。
5. 蕭堯仁 (2013)，「散裝船運價與貨櫃船運價領先落後關係與波動傳遞效果之研究」，國立臺灣海洋大學航運管理學系博士論文。
二、英文部分
1. Alizadeh, A. H. (2013). Trading volume and volatility in the shipping forward freight market. Transportation Research Part E: Logistics and Transportation Review, 49(1), 250-265.
2. Alizadeh, A. H., Kappou, K., Tsouknidis, D., & Visvikis, I. (2015). Liquidity effects and FFA returns in the international shipping derivatives market. Transportation Research Part E: Logistics and Transportation Review, 76, 58-75.
3. Andriosopoulos, K., Doumpos, M., Papapostolou, N. C., & Pouliasis, P. K. (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, 16-34.
4. Antonakakis, N., & Kizys, R. (2015). Dynamic spillovers between commodity and currency markets. International Review of Financial Analysis, 41, 303-319.
5. Alter, A., & Beyer, A. (2014). The dynamics of spillover effects during the European sovereign debt turmoil. Journal of Banking & Finance, 42, 134-153.
6. Batchelor, R., Alizadeh, A., & Visvikis, I. (2007). Forecasting spot and forward prices in the international freight market. International Journal of Forecasting, 23(1), 101-114.
7. Boltzmann, L. (1866). Über die mechanische Bedeutung des zweiten Hauptsatzes der Wärmetheorie:(vorgelegt in der Sitzung am 8. Februar 1866). Staatsdruckerei.
8. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of econometrics, 31(3), 307-327.
9. Chistè, C., & Van Vuuren, G. (2014). Investigating the cyclical behaviour of the dry bulk shipping market. Maritime Policy & Management, 41(1), 1-19.
10. Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica: Journal of the Econometric Society, 987-1007.
11. Daugherty, M. S., & Jithendranathan, T. (2015). A study of linkages between frontier markets and the US equity markets using multivariate GARCH and transfer entropy. Journal of Multinational Financial Management, 32, 95-115.
12. Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association, 74(366a), 427-431.
13. Dimpfl, T., & Peter, F. J. (2014). The impact of the financial crisis on transatlantic information flows: An intraday analysis. Journal of International Financial Markets, Institutions and Money, 31, 1-13.
14. Engle, R. F., & Kroner, K. F. (1995). Multivariate simultaneous generalized ARCH. Econometric theory, 11(01), 122-150.
15. Goulielmos, A. M., & Psifia, M. E. (2011). Forecasting short-term freight rate cycles: do we have a more appropriate method than a normal distribution?. Maritime Policy & Management, 38(6), 645-672.
16. Gusanu, A., Merika, A. A., and Triantafyllou, A. (2012). Is There a Lead-lag Relationship between Freight Rates and Stock Returns in the Drybulk Shipping Industry. Unpublished Manuscript, 1-34.
17. Li, J., Liang, C., Zhu, X., Sun, X., & Wu, D. (2013). Risk contagion in Chinese banking industry: A Transfer Entropy-based analysis. Entropy, 15(12), 5549-5564.
18. Jin, X., Lin, S. X., & Tamvakis, M. (2012). Volatility transmission and volatility impulse response functions in crude oil markets. Energy Economics, 34(6), 2125-2134.
19. Jin, X., & An, X. (2016). Global financial crisis and emerging stock market contagion: A volatility impulse response function approach. Research in International Business and Finance, 36, 179-195.
20. Kavussanos, M. G., & Nomikos, N. K. (2003). Price discovery, causality and forecasting in the freight futures market. Review of Derivatives Research, 6(3), 203-230.
21. Kavussanos, M. G., & Visvikis, I. D. (2004). Market interactions in returns and volatilities between spot and forward shipping freight markets. Journal of Banking & Finance, 28(8), 2015-2049.
22. Kavussanos, M., Visvikis, I., & Dimitrakopoulos, D. (2010). Information linkages between Panamax freight derivatives and commodity derivatives markets. Maritime Economics & Logistics, 12(1), 91-110.
23. Kavussanos, M. G., Visvikis, I. D., & Dimitrakopoulos, D. N. (2014). Economic spillovers between related derivatives markets: The case of commodity and freight markets. Transportation Research Part E: Logistics and Transportation Review, 68, 79-102.
24. Kou, Y., & Luo, M. (2015). Modelling the Relationship between Ship Price and Freight Rate with Structural Changes. Journal of Transport Economics and Policy (JTEP), 49(2), 276-294.
25. Kullback, S. (1968). Information theory and statistics. Courier Corporation.
26. Merikas, A. G., Merika, A. A., & Koutroubousis, G. (2008). Modelling the investment decision of the entrepreneur in the tanker sector: choosing between a second-hand vessel and a newly built one. Maritime Policy & Management, 35(5), 433-447.
27. Morales, L., & Andreosso-O`Callaghan, B. (2014). The global financial crisis: World market or regional contagion effects?. International Review of Economics & Finance, 29, 108-131.
28. Olson, E., Vivian, A. J., & Wohar, M. E. (2014). The relationship between energy and equity markets: Evidence from volatility impulse response functions. Energy Economics, 43, 297-305.
29. Paas, T., & Kuusk, A. (2012). Contagion of financial crises: what does the empirical evidence show?. Baltic Journal of Management, 7(1), 25-48.
30. Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
31. Shannon, C. E. (1951). Prediction and entropy of printed English. Bell system technical journal, 30(1), 50-64.
32. Scarsi, R. (2007). The bulk shipping business: market cycles and shipowners’ biases. Maritime Policy & Management, 34(6), 577-590.
33. Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599-607.
34. Schreiber, T. (2000). Measuring information transfer. Physical review letters, 85(2), 461.
35. Stopford, M. (2005). China in Transition: Its impact on shipping in the last decade and the next. Marintec, China, 6-9.
36. Stopford, M. (2009). Maritime Economics 3e. Routledge.
37. Thorsen, I. S. (2010). Dry bulk shipping and business cycles (Doctoral dissertation, Norges Handelshøyskole).
38. Tola, A., & Wälti, S. (2015). Deciphering financial contagion in the euro area during the crisis. The Quarterly Review of Economics and Finance, 55, 108-123.
39. Tsolakis, S. D., Cridland, C., & Haralambides, H. E. (2003). Econometric modelling of second-hand ship prices. Maritime Economics & Logistics, 5(4), 347-377.
40. Wayne, A. F. (1976). Introduction to statistical time series.
41. UNCTAD. (2015). Review of maritime transport.
42. Yu, T. H. E., Bessler, D. A., & Fuller, S. W. (2007). Price dynamics in US grain and freight markets. Canadian Journal of Agricultural Economics/Revue canadienne d`agroeconomie, 55(3), 381-397. |
