An approach for Baltic Dry Index analysis based on empirical mode decomposition

References

• Byoung-wook, K. O. 2011. “Dynamics of Dry Bulk Freight Market: Through the Lens of a Common Stochastic Trend Model.” The Asian Journal of Shipping and Logistics 27 (3): 387–404.
   Google Scholar
• Chen, S., K. Frouws, and E. Van de Voorde. 2010. “Technical Changes and Impacts on Economic Performance of Dry Bulk Vessels.” Maritime Policy & Management 37 (3): 305–327.
   Web of Science ®Google Scholar
• Duru, O., E. Bulut, and S. Yoshida. 2012. “A Fuzzy Extended Delphi Method for Adjustment of Statistical Time Series Prediction: An Empirical Study on Dry Bulk Freight Market Case.” Expert Systems with Applications 39: 840–848.
   Web of Science ®Google Scholar
• Duru, O., and S. Yoshida. 2011. “Long Term Freight Market Index and Inferences.” The Asian Journal of Shipping and Logistics 27 (3): 405–422.
   Google Scholar
• Goulielmos, A. M., and M. E. Psifia. 2009. “Forecasting Weekly Freight Rates for One-Year Time Charter 65000 Dwt Bulk Carrier, 1989–2008, Using Nonlinear Methods.” Maritime Policy & Management 36 (5): 411–436.
   Web of Science ®Google Scholar
• Guhathakurta, K., I. Mukherjee, and A. R. Chowdhury. 2008. “Empirical Mode Decomposition Analysis of Two Different Financial Time Series and Their Comparison.” Chaos, Solitons & Fractals 37: 1214–1227.
   Web of Science ®Google Scholar
• Huang, N. E., Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N. C. Yen, C. C. Tung, and H. H. Liu. 1998. “The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Nonstationary Time Series Analysis.” Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 454: 903–995.
   Web of Science ®Google Scholar
• Kavussanos, M. G., and A. H. Alizadeh-M. 2001. “Seasonality Patterns in Dry Bulk Shipping Spot and Time Charter Freight Rates.” Transportation Research, Part E 37: 443–467.
   Google Scholar
• Lei, H. 2011. “Decomposition and Forecast for Financial Time Series with High-Frequency Based on Empirical Mode Decomposition.” Energy Procedia 5: 1333–1340.
   Google Scholar
• Leonova, Y., and V. Nikolov. 2012. “A Wavelet and Neural Network Model for the Prediction of Dry Bulk Shipping Indices.” Maritime Economics & Logistics 14 (3): 319–333.
   Web of Science ®Google Scholar
• Premanode, B., and C. Toumazou. 2013. “Improving Prediction of Exchange Rates Using Differential EMD.” Expert Systems with Applications 40 (1): 377–384.
   Web of Science ®Google Scholar
• Qi, K. Y., Z. J. He, and Y. Y. Zi. 2007. “Cosine Window-Based Boundary Processing Method for EMD and Its Application in Rubbing Fault Diagnosis.” Mechanical Systems and Signal Processing 21: 2750–2760.
   Web of Science ®Google Scholar
• Rojas, A., J. M. Gorriz, J. Ramirez, I. A. Illan, F. J. Martinez-Murcia, A. Ortiz, M. Gomez Rio, and M. Moreno-Caballero. 2012. “Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT Images to Explore Parkinson Disease.” Expert Systems with Applications 40: 2756–2766.
   Web of Science ®Google Scholar
• Veenstra, A. W., and P. H. Franses. 1997. “A Co-Integration Approach to Forecasting Freight Rates in the Dry Bulk Shipping Sector.” Transportation Research 31 (6): 447–458.
   Google Scholar
• Wei, Y., and M. C. Chen. 2012. “Forecasting the Short-Term Metro Passenger Flow with Empirical Mode Decomposition and Neural Networks.” Transportation Research Part C 21 (1): 148–162.
   Web of Science ®Google Scholar
• Yu, D. J., J. S. Cheng, and Y. Yang. 2005. “Application of EMD Method and Hilbert Spectrum to the Fault Diagnosis of Roller Bearings.” Mechanical Systems and Signal Processing 19: 259–270.
   Web of Science ®Google Scholar
• Yu, L., S. Wang, and K. K. Lai. 2008. “Forecasting Crude Oil Price with an EMD-Based Neural Network Ensemble Learning Paradigm.” Energy Economics 30 (5): 2623–2635.
   Web of Science ®Google Scholar
• Zhang, X., L. Yu, S. Y. Wang, and K. K. Lai. 2009. “Estimating the Impact of Extreme Events on Crude Oil Price: An EMD-Based Event Analysis Method.” Energy Economics 31: 768–778.
   Web of Science ®Google Scholar