[1]
Adland, R. and Koekebakker, S.(2004), “Market Efficiency in the Second-hand Market for Bulk Ships”, Maritime Economics and Logistics, Vol. 6, No. No. 1, pp. 1-15. 1479-2931.
[2]
Adland, R. and Koekebakker, S.(2007), “Ship Valuation Using Cross-Sectional Sales Data : A Multivariate Non-Parametric Approach”, Maritime Economics and Logistics, Vol. 9, pp. 105-118. 1479-2931.
[3]
Beenstock, M.(1985), “A theory of ship prices”, Maritime Policy and Management, Vol. 12, No. No. 3, pp. 215-225. 0308-8839.
[4]
Cai, J. and et al(2018), “‘Feature selection in machine learning: A new perspective”, Neurocomputing, Vol. 300, pp. 70-79. 0925-2312.
[5]
Campbell, J. Y. and Shiller, R. J.(1987), “Cointegration and Tests of Present Value Models”, Journal of Political Economy, Vol. 95, No. No. 5, pp. 1062-1088. 0022-3808.
[6]
Cybenko, G.(1989), “Approximation by superpositions of a sigmoidal function”, Mathematics of Control, Signals, and Systems, Vol. 2, No. No. 4, pp. 303-314. 0932-4194.
[7]
Fama, E. F.(1970), “Efficient Capital Markets-A Review of Theory and Empirical Work”, Journal of Finance, Vol. 25, No. No. 2, pp. 383-417. 0022-1082.
[8]
Glen, D. R.(1997), “The market for second-hand ships: Further results on efficiency using cointegration analysis”, Maritime Policy and Management, Vol. 24, No. No. 3, pp. 245-260. 0308-8839.
[9]
Hale, C. and Vanags, A.(1992), “The market for second-hand ships: Some results on efficiency using cointegration”, Maritime Policy and Management, Vol. 19, No. No. 1, pp. 31-39. 0308-8839.
[10]
Kavussanos, M. G. and Alizadeh, A. H.(2002), “Efficient pricing of ships in the dry bulk sector ofthe shipping industry”, Maritime Economics and Logistics, Vol. 29, No. No. 3, pp. 303-330. 1479-2931.
[11]
Kohn, S.2008. Generalized Additive Models in the Context of Shipping Economics.
[12]
Li, J. and Parsons, M. G.(1997), “Forecasting tanker freight rate using neural networks”, Maritime Policy and Management, Vol. 24, No. No. 1, pp. 9-30. 0308-8839.
[13]
Lim, S. and Yun, H.(2018), “Supramax Bulk Carrier Market Forecasting with Technical Indicators and Neural Networks”, Journal of Navigation and Port Research, Vol. 42, No. No. 5, pp. 341-346.
[14]
Lyridis, D. and et al(2004), “Forecasting Tanker Market Using Artificial Neural Networks”, MaritimeEconomics and Logistics, Vol. 6, pp. 93-108. 1479-2931.
[15]
Paliwal, M. and Kumar, U. A.(2009), “Neural networks and statistical techniques: A review of applications”, Expert Systems with Applications, Vol. 36, No. No. 1, pp. 2-17. 0957-4174.
[16]
Pruyn, J. F. J. and et al(2011), “Second hand vessel value estimation in maritime economics : A review of the past 20 years and the proposal of an elementary method”, Maritime Economics and Logistics, Vol. 13, No. No. 2, pp. 213-236. 1479-2931.
[17]
Shepperd, M. and MacDonell, S.(2012), “Evaluating prediction systems in software project estimation”, Information and Software Technology, Vol. 54, No. No. 8, pp. 820-827. 0950-5849.
[18]
Silhavy, R. and et al(2017), “Analysis and selection of a regression model for the Use Case Points method using a stepwise approach”, Journal of Systems and Software, Vol. 125, pp. 1-14. 0164-1212.
[19]
Sødal, S. and et al(2009), “Value based trading of real assets in shipping under stochastic freight rates”, Applied Economics, Vol. 41, No. No. 22, pp. 2793-2807. 0003-6846.
[20]
Stopford, M.(2009), Maritime Economics. Routledge;
[21]
Thalassinos, E. I. and Politis, E. D.(2014), “Valuation Model for a Second-hand Vessel : Econometric Analysis of the Dry Bulk Sector”, Journal of Global Business and Technoloty, Vol. 10, No. No. 1, pp. 1-17.
[22]
Tsolakis, S. D. and et al(2003), “Econometric Modelling of Second-hand Ship Prices”, Maritime Economics and Logistics, Vol. 5, pp. 347-377. 1479-2931.
[23]
Yun, H.(2016), “Trading Strategies in Bulk Shipping : the Application of Artificial Neural Networks”, Journal of Navigation and Port Research, Vol. 40, No. No. 5, pp. 337-343.
[24]
Zhang, G. and et al(1998), “Forecasting with artificial neural networks:: The state of the art”, InternationalJournal of Forecasting, Vol. 14, No. No. 1, pp. 35-62. 0169-2070.