Application of grey relational analysis and artificial neural networks on currency exchange-traded notes (ETNs)

References

Abraham, A., B. Nath, and P. K. Mahanti. 2001. “Hybrid Intelligent Systems for Stock Market Analysis.” Lecture Notes in Computer Science 20 (74): 337–345.10.1007/3-540-45718-6_38Search in Google Scholar

Andreou, A., G. Efstratios, and L. Spirdon. 2002. “Exchange-Rate Forecasting: A Hybrid Algorithm based on Genetically Optimized Adaptive Neural Network.” Computational Economics 20 (3): 191–210.10.1023/A:1020989601082Search in Google Scholar

Avci, E. 2007. “Forecasting Daily and Seasonal Returns of the ISE-100 Index with Neural Network Models.” Dogus University Journal 8 (2): 128–142.10.31671/dogus.2019.229Search in Google Scholar

Bollapragada, R., I. Savin, and L. Kerbache. 2009. “Price Forecasting and Analysis of Exchange-Traded Funds.” International Journal of Finance 21 (1): 5039–5069.10.4236/jmf.2013.31A017Search in Google Scholar

Bors, A., and G. Gabbouj. 1994. “Minimal Topology for a Radial Basis Function Neural Network for Pattern Classification.” Digital Signal Processing: A Review Journal, 4(3): 173–188.10.1006/dspr.1994.1016Search in Google Scholar

Bors, A., and I. Pitas. 1996. “Median Radial Basis Functions Neural Network.” IEEE Transactions on Neural Networks 7 (6): 1351–1364.10.1109/72.548164Search in Google Scholar

Broomhead, D., and D. Lowe. 1988. “Multivariate Functional Interpolation and Adaptive Networks.” Complex Systems 2: 321–355.Search in Google Scholar

Brown, G., and M. Cliff. 2004. “Investor Sentiment and the Near-Term Stock Market.” Journal of Empirical Finance 11: 1–27.10.1016/j.jempfin.2002.12.001Search in Google Scholar

Chang, F., and H. Huang. 2003. Theory and Practice of Artificial Neural Networks. Taipei, Taiwan, ROC: Dong Hwa Publication.Search in Google Scholar

Chaveesuk, R., C. Ratana, and A. Smith. 1999. “Alternative Neural Network Approaches to Corporate Bond Rating.” Journal of Engineering Valuation and Cost Analysis 2 (2): 117–131.Search in Google Scholar

Chen, J. 2011. “The Spillover and Leverage Effects of Ethical Exchange-Traded Funds.” Applied Economics Letter 18 (10): 983–987.10.1080/13504851.2010.520663Search in Google Scholar

Chen, J. H., T. T. Chang, C. R. Ho, and J. F. Diaz. 2013. “Grey Relational Analysis and Neural Network Forecasting of REIT Returns.” Quantitative Finance Journal 14 (11): 2033–2044.10.1080/14697688.2013.816765Search in Google Scholar

Chen, J., and Y. Fang. 2008. “Forecasting the Performance of the Asian Currency Unit and the Causes of Contagion of the Asian Financial Crisis.” Asia Pacific Management Review 13 (4): 665–684.Search in Google Scholar

Chen, J., and C. Huang. 2010. “An Analysis of the Spillover Effects of Exchange Traded Funds.” Applied Economics 42: 1155–1168.10.1080/00036840701721182Search in Google Scholar

Chiang, W., T. Urban, and G. Baldridge. 1996. “A Neural Network Approach to Mutual Fund Net Asset Value Forecasting.” International Journal Management Science 24 (2): 205–215.10.1016/0305-0483(95)00059-3Search in Google Scholar

Crowder, W. 2006. The Interaction of Monetary Policy and Stock Returns.” Journal of Financial Research 29 (4): 523–535.10.1111/j.1475-6803.2006.00192.xSearch in Google Scholar

De Fusco, R., S. Ivanov, and G. Karels. 2011. “The Exchange-Traded Fund’s Pricing Deviation: Analysis and Forecasts.” Journal of Economic Finance 35: 181–197.10.1007/s12197-009-9090-6Search in Google Scholar

Deng, J. 1989. “Introduction to Grey System Theory.” Journal of Grey System 1 (1): 1–24.Search in Google Scholar

Feng, C., and R. Wang. 2000. “Performance Evaluation for Airlines Including the Consideration of Financial Ratios.” Journal of Transport Management 6: 133–142.10.1016/S0969-6997(00)00003-XSearch in Google Scholar

French, K. R., G. W. Schwert, and Stambaugh, R. F. 1987. “Expected Stock Returns and Volatility.” Journal of Financial Economics 19: 3–29.10.1016/0304-405X(87)90026-2Search in Google Scholar

Ghazali, R., A. Hussain, N. M. Nawi, and B. Mohamad. 2009. “Non-Stationary and Neural Network.” Neurocomputing 72 (12): 2359–2367.10.1016/j.neucom.2008.12.005Search in Google Scholar

Guojie, W. H., Huang, H. K. K. Q. Song, and H. Xie. 2014. “Deep Architecture for Traffic Flow Prediction: Deep Belief Networks with Multi-Task Learning.” IEEE Transactions on Intelligent Transport Systems 15: 2191–2201.10.1109/TITS.2014.2311123Search in Google Scholar

Hamzacebi, C., and M. Pekkaya. 2011. “Determining of Stock Investments with Grey Relational Analysis.” Expert Systems with Applications 38: 9186–9195.10.1016/j.eswa.2011.01.070Search in Google Scholar

Hanson, K., S. Robinson, and G. Schluter. 1993. Sectoral Effects of a World Oil Price Shock: Economy Wide Linkages to the Agricultural Sector.” Journal of Agricultural and Resource Economics 18 (1): 96–116.Search in Google Scholar

Harri A., L. Nalley, and D. Hudson. 2009. “The Relationship between Oil, Exchange Rates, and Commodity Prices.” Journal of Agricultural and Applied Economics 41: 501–510.10.1017/S1074070800002959Search in Google Scholar

Hinton, G. E. 2006. “A Fast Learning Algorithm for Deep Belief Networks.” Neural Computing 18: 1527–1554.10.1162/neco.2006.18.7.1527Search in Google Scholar PubMed

Huang, S., C. Tsai, D. Yen, and Y. Cheng. 2008. “A Hybrid Financial Analysis Model for Business Failure Prediction.” Expert Systems with Applications 35: 1034–1040.10.1016/j.eswa.2007.08.040Search in Google Scholar

Johnson, R., and L. Soenen. 2004. “The US Stock Market and the International Value of the US Dollar.” Journal of Economics and Business 56: 469–481.10.1016/j.jeconbus.2004.04.002Search in Google Scholar

Junah, A., and R. Kunst. 2001. “The Effects of Exchange Rate Exposures on Equity Asset Markets.”Economics Series 94: 1–14.Search in Google Scholar

Kadilar, C., M. Simsek, and C. Aladag. 2009. “Forecasting the Exchange Rate with ANN: The Case of Turkey.” Istanbul University Econometrics and Statistics e-Journal 9 (1): 17–29.Search in Google Scholar

Kim, S. 1998. “Time-Delay Recurrent Neural Network for Temporal Correlations and Prediction.” Neurocomputing 20 (1): 253–263.10.1016/S0925-2312(98)00018-6Search in Google Scholar

Kung, C., and K. Wen. 2007. “Applying Grey Relational Analysis and Grey Decision-Making to Evaluate the Relationship between Company Attributes and its Financial Performance: A Case Study of Venture Capital Enterprises in Taiwan.” Decision Support Systems 43: 842–852.10.1016/j.dss.2006.12.012Search in Google Scholar

Kuo, Y., T. Yang, and G. Huang. 2008. “The Use of Grey Relational Analysis in Solving Multiple Attribute Decision-Making Problems.” Computer and Industrial Engineering 55: 80–93.10.1016/j.cie.2007.12.002Search in Google Scholar

Lee, W. 2006. The Study on Volatility Index and its Relationship between Realized Volatility and Stock Index Return. Taoyuan, Taiwan, ROC: National Central University.Search in Google Scholar

Li, G., D. Yamaguchi, and M. Nagai. 2007. “A Grey-Based Decision-Making Approach to the Supplier Selection Problem.” Mathematical and Computer Modeling 46: 573–581.10.1016/j.mcm.2006.11.021Search in Google Scholar

Lim. G., and P. McNeils. 1998. “The Effect of the Nikkei and the S&P on the All-Ordinaries: A Comparison of Three Models.” International Journal of Finance and Economics 3 (3): 217–228.10.1002/(SICI)1099-1158(199807)3:3<217::AID-IJFE78>3.0.CO;2-1Search in Google Scholar

Lin, D., J. Dayhoff, and P. Ligomenides. 1992. “Adaptive Time-Delay Neural Network for Temporal Correlations and Prediction.” SPIE Intelligent Robots and Computer Vision XI: Biological, Neural Network and 3D Method 1826: 170–181.10.1117/12.131597Search in Google Scholar

Pradhan, R., and R. Kumar. 2010. “Forecasting Exchange Rate in India: An Application of Artificial Neural Network Model.” Journal of Mathematics Research 2 (4): 111–117.10.5539/jmr.v2n4p111Search in Google Scholar

Reid, D., A. J. Hussain, and H. Tawfik. 2014. “Financial Time Series Prediction using Spiking Neural Networks.” PLoS One 9 (8): e103656.10.1371/journal.pone.0103656Search in Google Scholar

Rodriguez, J. 2005. “STAR and ANN models: Forecasting performance on Spanish Ibex-35 stock index.: Journal of Empirical Finance 12 (3): 490–509.10.1016/j.jempfin.2004.03.001Search in Google Scholar

Sazal, M. M. R., Biswas, S. K. Aminand M. F. Murase, K. 2014. “Bangla-Handwritten Character Recognition Using Deep Belief Network.” Proceedings of the 2013 International Conference on Electrical Information and Communication Technology, 1–5, Khulna, Bangladesh.10.1109/EICT.2014.6777907Search in Google Scholar

Shen, W., X. Guo, C. Wu, and D. Wu. 2011. “Forecasting Stock Indices Using RBFNN Optimized by Artificial Fish Swarm Algorithm.” Computer and Information Science 24 (3): 378–385.10.1016/j.knosys.2010.11.001Search in Google Scholar

Shen, F., J. Chao, and J. Zhao. 2015. “Forecasting Exchange Rate Using Deep Belief Networks and Conjugate Gradient Method.” Neurocomputing 167: 243–253.10.1016/j.neucom.2015.04.071Search in Google Scholar

Simon D., and R. Wiggins. 2001. “S&P Futures and Contrary Sentiment Indicators.” Journal of Futures Market 21: 447–462.10.1002/fut.4Search in Google Scholar

Smith, J., and K. Small. 2010. “Weighing the Risks: Are Exchange-Traded Notes Right for Your Clients? Journal of Financial Planning 23 (10): 56–65.Search in Google Scholar

Solt, M., and Statman, M. 1988. “How Useful is the Sentiment Index?” Financial Analysts Journal 44: 45–55.10.2469/faj.v44.n5.45Search in Google Scholar

Soytas, U., and A. Oran. 2011. “Volatility Spillover from the World Oil Spot Markets to Aggregate and Electricity Stock Index in Turkey.” Applied Energy 88 (1): 354–360.10.1016/j.apenergy.2010.07.018Search in Google Scholar

Tansuchat, R., C. Chang, and M. McAleer. 2010. “Conditional Correlations and Volatility Spillovers between Crude Oil and Stock Returns.” Working Papers in Economics. University of Canterbury, Department of Economics and Finance.10.2139/ssrn.1534043Search in Google Scholar

Tsai, R. Y. 2008. Investigating the Relationships for CRB Index with Stock Price, Exchange Rate and Oil Price. Taipei, Taiwan, ROC: Tamkang University.Search in Google Scholar

Vaisla, K., and A. Bhatt. 2010. “Analysis of the Performance of ANN Technique for Stock Forecasting.” International Journal on Computer Science and Engineering 2 (6): 2104–2109.Search in Google Scholar

Wall, J. A., L. J. McDaid, L. P. Maguire, and T. M. McGinnity. 2012. “Spiking Neural Network Model of Sound Localization Using the Interaural Intensity Difference.” IEEE Transactions on Neural Networks and Learning Systems 23 (4): 574–586.10.1109/TNNLS.2011.2178317Search in Google Scholar PubMed

Wei, C. 2008. “MGARCH Modeling Analysis of Unexpected US Dollar, Yen and Euro to Renminbi Volatility Spillovers to Stock Markets.” Economics Bulletin 3 (64): 1–15.Search in Google Scholar

Wong, C., and M. Versace. 2012. “CARTMAP: A neural network method for automated feature selection in financial time series forecasting.” Neural Computing and Applications 21 (5): 969–977.10.1007/s00521-012-0830-8Search in Google Scholar

Wright, C., D. Diavatopoulos, and J. Felton. 2009. “Exchange-traded notes: An introduction.” Journal of Investing 19 (2): 27–37.10.3905/joi.2010.19.2.027Search in Google Scholar

Wu, J., and X.-L. Zhang. 2013. “Deep Belief Networks Based Voice Activity Detection.” IEEE Transactions on Audio Speech and Language Processing 21: 697–710.10.1109/TASL.2012.2229986Search in Google Scholar

Zhang, J., and X. Xiao. 2000. “Predicting Chaotic Time-Series Using Recurrent Neural Network.” Chinese Physics Letter 17 (2): 88–90.10.1088/0256-307X/17/2/004Search in Google Scholar