Support Vector Machine Algorithms: An Application to Ship Price Forecasting
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DOI: 10.1007/s10614-020-10032-2
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- Hillard G. Huntington, 1994.
"Oil Price Forecasting in the 1980s: What Went Wrong?,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-22.
- Hillard G. Huntington, 1994. "Oil Price Forecasting in the 1980s: What Went Wrong?," The Energy Journal, , vol. 15(2), pages 1-22, April.
- Roar Adland & Haiying Jia & Siri Strandenes, 2006. "Asset Bubbles in Shipping? An Analysis of Recent History in the Drybulk Market," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 8(3), pages 223-233, September.
- Andreas G. Merikas & Anna A. Merika & George Koutroubousis, 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, Taylor & Francis Journals, vol. 35(5), pages 433-447, October.
- Hao Chen & Qiulan Wan & Yurong Wang, 2014. "Refined Diebold-Mariano Test Methods for the Evaluation of Wind Power Forecasting Models," Energies, MDPI, vol. 7(7), pages 1-14, July.
- Amir H. Alizadeh & Nikos K. Nomikos, 2006. "Trading strategies in the market for tankers," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(2), pages 119-140, May.
- Gulen, S. Gurcan, 1998. "Efficiency in the crude oil futures market," Journal of Energy Finance & Development, Elsevier, vol. 3(1), pages 13-21.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Abramson, Bruce & Finizza, Anthony, 1995. "Probabilistic forecasts from probabilistic models: A case study in the oil market," International Journal of Forecasting, Elsevier, vol. 11(1), pages 63-72, March.
- Qingcheng Zeng & Chenrui Qu & Adolf K.Y. Ng & Xiaofeng Zhao, 2016. "A new approach for Baltic Dry Index forecasting based on empirical mode decomposition and neural networks," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 18(2), pages 192-210, June.
- S D Tsolakis & C Cridland & H E Haralambides, 2003. "Econometric Modelling of Second-hand Ship Prices," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 5(4), pages 347-377, December.
- Khandani, Amir E. & Kim, Adlar J. & Lo, Andrew W., 2010. "Consumer credit-risk models via machine-learning algorithms," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2767-2787, November.
- Periklis Gogas & Theophilos Papadimitriou & Maria Matthaiou & Efthymia Chrysanthidou, 2015.
"Yield Curve and Recession Forecasting in a Machine Learning Framework,"
Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 635-645, April.
- Gogas, Periklis & Papadimitriou , Theophilos & Matthaiou, Maria- Artemis & Chrysanthidou, Efthymia, 2014. "Yield Curve and Recession Forecasting in a Machine Learning Framework," DUTH Research Papers in Economics 8-2014, Democritus University of Thrace, Department of Economics.
- Theophilos Papadimitriou & Periklis Gogas & Maria Matthaiou & Efthymia Chrysanthidou, 2014. "Yield curve and Recession Forecasting in a Machine Learning Framework," Working Paper series 32_14, Rimini Centre for Economic Analysis.
- Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2008. "Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm," Energy Economics, Elsevier, vol. 30(5), pages 2623-2635, September.
- Manolis G. Kavussanos & Amir H. Alizadeh, 2002. "Efficient pricing of ships in the dry bulk sector of the shipping industry," Maritime Policy & Management, Taylor & Francis Journals, vol. 29(3), pages 303-330.
- Öğüt, Hulisi & Doğanay, M. Mete & Ceylan, Nildağ Başak & Aktaş, Ramazan, 2012. "Prediction of bank financial strength ratings: The case of Turkey," Economic Modelling, Elsevier, vol. 29(3), pages 632-640.
- Nikos D. Kagkarakis & Andreas G. Merikas & Anna Merika, 2016. "Modelling and forecasting the demolition market in shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(8), pages 1021-1035, November.
- Adland, Roar & Benth, Fred Espen & Koekebakker, Steen, 2018. "Multivariate modeling and analysis of regional ocean freight rates," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 194-221.
- Michael Ye & John Zyren & Joanne Shore, 2002. "Forecasting crude oil spot price using OECD petroleum inventory levels," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 8(4), pages 324-333, November.
- André A P Santos & Luciano N Junkes & Floriano C M Pires Jr, 2014. "Forecasting period charter rates of VLCC tankers through neural networks: A comparison of alternative approaches," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(1), pages 72-91, March.
- Haralambides, H.E. & Tsolakis, S.D. & Cridland, C., 2004. "3. Econometric Modelling Of Newbuilding And Secondhand Ship Prices," Research in Transportation Economics, Elsevier, vol. 12(1), pages 65-105, January.
- Syriopoulos, Theodore C., 2007. "Chapter 6 Financing Greek Shipping: Modern Instruments, Methods and Markets," Research in Transportation Economics, Elsevier, vol. 21(1), pages 171-219, January.
- Alizadeh, Amir H. & Nomikos, Nikos K., 2007. "Investment timing and trading strategies in the sale and purchase market for ships," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 126-143, January.
- Ye, Michael & Zyren, John & Shore, Joanne, 2006. "Forecasting short-run crude oil price using high- and low-inventory variables," Energy Policy, Elsevier, vol. 34(17), pages 2736-2743, November.
- Ye, Michael & Zyren, John & Shore, Joanne, 2005. "A monthly crude oil spot price forecasting model using relative inventories," International Journal of Forecasting, Elsevier, vol. 21(3), pages 491-501.
- Batchelor, Roy & Alizadeh, Amir & Visvikis, Ilias, 2007. "Forecasting spot and forward prices in the international freight market," International Journal of Forecasting, Elsevier, vol. 23(1), pages 101-114.
- George Dikos, 2004. "New Building Prices: Demand Inelastic or Perfectly Competitive?," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 6(4), pages 312-321, December.
- Roar Adland & Siri Strandenes, 2006. "Market efficiency in the bulk freight market revisited," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(2), pages 107-117, May.
- Wolfgang Härdle & Yuh-Jye Lee & Dorothea Schäfer & Yi-Ren Yeh, 2009. "Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(6), pages 512-534.
- Theodore Syriopoulos & George Bakos, 2019. "Investor herding behaviour in globally listed shipping stocks," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(5), pages 545-564, July.
- Shambora, William E. & Rossiter, Rosemary, 2007. "Are there exploitable inefficiencies in the futures market for oil?," Energy Economics, Elsevier, vol. 29(1), pages 18-27, January.
- Hulisi Ögüt & M. Mete Doganay & Nildag Basak Ceylan & Ramazan Aktas, 2012. "Predicting Bank Financial Strength Ratings in an Emerging Economy: The Case of Turkey," Working Papers 740, Economic Research Forum, revised 2012.
- Manolis Kavussanos, 1997. "The dynamics of time-varying volatilities in different size second-hand ship prices of the dry-cargo sector," Applied Economics, Taylor & Francis Journals, vol. 29(4), pages 433-443.
- Anna Merika & Andreas Merikas & Mike Tsionas & Andreas Andrikopoulos, 2019. "Exploring vessel-price dynamics: the case of the dry bulk market," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(3), pages 309-329, April.
- D. R. Glen & B. T. Martin, 1998. "Conditional modelling of tanker market risk using route specific freight rates," Maritime Policy & Management, Taylor & Francis Journals, vol. 25(2), pages 117-128, January.
- Rubio, Ginés & Pomares, Héctor & Rojas, Ignacio & Herrera, Luis Javier, 2011. "A heuristic method for parameter selection in LS-SVM: Application to time series prediction," International Journal of Forecasting, Elsevier, vol. 27(3), pages 725-739, July.
- Chai, Jian & Xing, Li-Min & Zhou, Xiao-Yang & Zhang, Zhe George & Li, Jie-Xun, 2018. "Forecasting the WTI crude oil price by a hybrid-refined method," Energy Economics, Elsevier, vol. 71(C), pages 114-127.
- Myrto Kalouptsidi, 2014. "Time to Build and Fluctuations in Bulk Shipping," American Economic Review, American Economic Association, vol. 104(2), pages 564-608, February.
- Tay, Francis E. H. & Cao, Lijuan, 2001. "Application of support vector machines in financial time series forecasting," Omega, Elsevier, vol. 29(4), pages 309-317, August.
- Fan, Liwei & Pan, Sijia & Li, Zimin & Li, Huiping, 2016. "An ICA-based support vector regression scheme for forecasting crude oil prices," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 245-253.
- Yordan Leonov & Ventsislav Nikolov, 2012. "A wavelet and neural network model for the prediction of dry bulk shipping indices," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 14(3), pages 319-333, September.
- Roar Adland & Steen Koekebakker, 2007. "Ship Valuation Using Cross-Sectional Sales Data: A Multivariate Non-Parametric Approach," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 9(2), pages 105-118, June.
- Theodore Syriopoulos & Efthimios Roumpis, 2006. "Price and volume dynamics in second-hand dry bulk and tanker shipping markets," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(5), pages 497-518.
- Lanza, Alessandro & Manera, Matteo & Giovannini, Massimo, 2005. "Modeling and forecasting cointegrated relationships among heavy oil and product prices," Energy Economics, Elsevier, vol. 27(6), pages 831-848, November.
- Rubio, Ginés & Pomares, Héctor & Rojas, Ignacio & Herrera, Luis Javier, 2011. "A heuristic method for parameter selection in LS-SVM: Application to time series prediction," International Journal of Forecasting, Elsevier, vol. 27(3), pages 725-739.
- Jane Jing Xu & Tsz Leung Yip & Liming Liu, 2011. "A directional relationship between freight and newbuilding markets: A panel analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 13(1), pages 44-60, March.
- Morana, Claudio, 2001. "A semiparametric approach to short-term oil price forecasting," Energy Economics, Elsevier, vol. 23(3), pages 325-338, May.
- Panas, Epaminondas & Ninni, Vassilia, 2000. "Are oil markets chaotic? A non-linear dynamic analysis," Energy Economics, Elsevier, vol. 22(5), pages 549-568, October.
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Keywords
Support vector machine learning; Predictive SVR models; ARIMA models; Ship price forecasting; Shipping investment; financing and risk management decisions;All these keywords.
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