References
- Ahmad, N., Muhammad, J., and Masron, T.A., Factors influencing yield spreads of the malaysian bonds, Asian Academy of Management Journal, 2009, Vol. 14, No. 2, pp. 95-114.
- Althelaya, K.A., El-Alfy, E.S.M., and Mohammed, S., Stock market forecast using multivariate analysis with bidirectional and stacked (LSTM, GRU), In 2018 21st Saudi Computer Society National Computer Conference (NCC), IEEE, 2018, pp. 1-7.
- Cheng, W., Wagner, W., and Lin, C.H., Forecasting the 30-year U.S. treasury bond with a system of neural networks, NeuroVe $t Journal, 1996, Vol. 1, No. 2.
- Cho, K., Van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., and Bengio, Y., Learning phrase representations using RNN encoder-decoder for statistical machine translation, arXiv preprint arXiv: 1406.1078. 2014.
- Dagum, E.B., Modelling, forecasting and seasonally adjusting economic time series with the X-11 ARIMA method, Journal of the Royal Statistical Society. Series D(The Statistician), 1978, Vol. 27 No. 3/4, pp 203-216.
- Estrella, A. and Hardouvelis, G.A., The term structure as a predictor of real economic activity, The Journal of Finance, 1991, Vol. 46, No. 2, pp. 555-576. https://doi.org/10.1111/j.1540-6261.1991.tb02674.x
- Fah, C.F. and Ariff, M., Factors correlated with treasury bond spreads in an emerging capital market, International Journal of Humanities and Social Science, 2008, Vol. 1, No. 5, pp. 154-164.
- Galbraith, J.W. and Tkacz, G., Testing for asymmetry in the link between the yield spread and output in the G-7 countries, Journal of International Money and Finance, 2000, Vol. 19, No. 5, pp. 657-672. https://doi.org/10.1016/S0261-5606(00)00023-1
- Harvey, C.R., Term structure forecasts economic growth, Financial Analysts Journal, 1993, Vol. 49, No. 3, pp. 6-8. https://doi.org/10.2469/faj.v49.n3.6.2
- Hochreiter, S. and Schmidhuber, J., Long short-term memory, Neural Computation, 1997, Vol. 9, No. 8, pp. 735-1780.
- Ince, H. and Trafalis, T.B., Short term forecasting with support vector machines and application to stock price prediction, International Journal of General Systems, 2016, Vol. 37, No. 6, pp. 677-687. https://doi.org/10.1080/03081070601068595
- Ji, H.J. and Park, S.K., Evaluate the predictive power of the interest rate spread, The Korean Journal of Financial Management, 2002, Vol. 19, No. 2, pp. 233-251.
- Joo. I.T. and Choi, S.H., Stock prediction model based on bidirectional LSTM recurrent neural network, The Journal of Korea Institute of Information, Electronics, and Communication Technology, 2018, Vol. 11, No. 2, pp. 204-208. https://doi.org/10.17661/JKIIECT.2018.11.2.204
- Kim, H.J., Jung, J.H., Ko, E.N., Cho, M.J., and Lee, K.H., Stock price prediction using deep learning ensemble, Database Research, 2018, Vol. 34, No. 2, pp. 111-120.
- Kim, J.H., Jin, D.L., Lee, J.S., Kim, S.J., and Son, Y.S., Prediction of interest rate spread by vector autoregression model, Journal of the Korean Data and Information Science Society, 2012, Vol. 23, No. 6, pp. 1093-1102. https://doi.org/10.7465/jkdi.2012.23.6.1093
- Kim, J.Y. and Lee, H.S., The predictive power of credit spread for economic activity, POSRI Business and Economic Review, 2011, Vol. 11, No. 3, pp. 36-63.
- Lee, C.Y., Song, G., and Kim, J., Analyses of power consumption of the heat pump dryer in the automobile drying process by using the principal component analysis and multiple regression, Journal of Society of Korea Industrial and Systems Engineering, 2015, Vol. 38, No. 1, pp. 143-151. https://doi.org/10.11627/jkise.2014.38.1.143
- Min, H.G., Determinants of Emerging Market Bond Spread : Do Economic Fundamentals Matter?, The World Bank. 1999.
- Park, W.J., Im, B.I., and Jeon, Y.I., Estimation and forecast of korean government bond yields using a macro- finance model of term structures, Journal of Korean Economic Studies, 2013, Vol. 31, No. 2, pp. 187-210.
- Shin, D.H., Choi, K.H., and Kim, C.B., Deep learning model for improving stock price prediction rate using RNN and LSTM, The Journal of Korean Institute of Information Technology, 2012, Vol. 15, No. 10, pp. 9-16. https://doi.org/10.14801/jkiit.2017.15.10.9
- Stock, J.H. and Watson, M.W., New indexes of coincident and leading economic indicators, NBER Macroeconomics Annual, 1989, Vol. 4, pp. 351-394.
- Wang, J.H. and Leu, J.Y., Stock market trend prediction using ARIMA-based neural networks, In Proceedings of International Conference on Neural Networks (ICNN'96), 1996, Vol. 4, pp. 2160-2165.