The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Exchange rate prediction using hybrid neural networks and trading indicators
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“MACD was proven to be a valuable tool for traders in the 1980s, and RSI has also been popularly adopted since its introduction by Wilder in 1978 [13][14][15].”
From Revisiting the Performance of MACD and RSI Oscillators (2014) · cites this paper as [15]
Citations
Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Generalized autoregressive conditional heteroskedasticity
Bollerslev, T. (1986) · Journal of Econometrics · doi:10.1016/0304-4076(86)90063-1 · Cited by 22,254
Engle, R. F. (1982) · Econometrica · doi:10.2307/1912773 · Cited by 20,795
Kohonen, T. (2001) · Springer Series in Information Sciences · doi:10.1007/978-3-642-56927-2 · Cited by 16,019
The Nature of Statistical Learning Theory
Sain, S. R., & Vapnik, V. N. (1996) · Technometrics · doi:10.2307/1271324 · Cited by 5,528
Empirical exchange rate models of the seventies
Meese, R. A., & Rogoff, K. (1983) · Journal of International Economics · doi:10.1016/0022-1996(83)90017-x · Cited by 4,120
A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices
Clark, P. K. (1973) · Econometrica · doi:10.2307/1913889 · Cited by 2,779
Lectu re Notes in Economics and Mathematical Systems
Beckmann, M. J., & Künzi, H. P. (1975) · Cited by 2,414
Outline for a Logical Theory of Adaptive Systems
Holland, J. H. (1962) · Journal of the ACM · doi:10.1145/321127.321128 · Cited by 1,112
Using genetic algorithms to find technical trading rules
Allen, F., & Karjalainen, R. (1999) · Journal of Financial Economics · doi:10.1016/s0304-405x(98)00052-x · Cited by 855
The Copula-GARCH model of conditional dependencies: An international stock market application
Jondeau, E., & Rockinger, M. (2006) · Journal of International Money and Finance · doi:10.1016/j.jimonfin.2006.04.007 · Cited by 783
Why is it so difficult to beat the random walk forecast of exchange rates?
Kilian, L., & Taylor, M. P. (2003) · Journal of International Economics · doi:10.1016/s0022-1996(02)00060-0 · Cited by 783
High-Frequency Data and Volatility in Foreign-Exchange Rates
Zhou, B. (1996) · Journal of Business and Economic Statistics · doi:10.1080/07350015.1996.10524628 · Cited by 570
On the Distribution of Stock Price Differences
Mandelbrot, B. B., & Taylor, H. M. (1967) · Operations Research · doi:10.1287/opre.15.6.1057 · Cited by 542
New Concepts in Technical Trading Systems
Wilder, J. (1978) · Cited by 461
Chaos and order in the capital markets: a new view of cycles, prices, and market volatility
(1992) · Choice Reviews Online · doi:10.5860/choice.29-6407 · Cited by 432
Support vector machines experts for time series forecasting
Cao, L. (2003) · Neurocomputing · doi:10.1016/s0925-2312(02)00577-5 · Cited by 424
A case study on using neural networks to perform technical forecasting of forex
Yao, J., & Tan, C. L. (2000) · Neurocomputing · doi:10.1016/s0925-2312(00)00300-3 · Cited by 401
Evolutionary Computation: The Fossil Record
Fogel, D. B. (1998) · Cited by 395
Technical Analysis in Financial Markets
Griffioen, G. A. W. (2003) · SSRN Electronic Journal · doi:10.2139/ssrn.566882 · Cited by 372
Empirical Modeling of Exchange Rate Dynamics
Diebold, F. X. (1988) · Lecture notes in economics and mathematical systems · doi:10.1007/978-3-642-45641-1 · Cited by 286
Time Series Analysis, Cointegration, and Applications
Granger, C. W. J. (2004) · American Economic Review · doi:10.1257/0002828041464669 · Cited by 286
The Foreign Exchange Market: Theory and Econometric Evidence.
Miles, D. K., Baillie, R. T., & McMahon, P. C. (1990) · Economica · doi:10.2307/2554948 · Cited by 199
Volatility impulse responses for multivariate GARCH models: An exchange rate illustration
Hafner, C. M., & Herwartz, H. (2006) · Journal of International Money and Finance · doi:10.1016/j.jimonfin.2006.04.006 · Cited by 177
Regression neural network for error correction in foreign exchange forecasting and trading
Chen, A., & Leung, M. T. (2003) · Computers & Operations Research · doi:10.1016/s0305-0548(03)00064-9 · Cited by 151
Hann, T. H., & Steurer, E. (1996) · Neurocomputing · doi:10.1016/0925-2312(95)00137-9 · Cited by 137
Forecasting Financial Time Series using Neural Network and Fuzzy System-based Techniques
Kodogiannis, V., & Lolis, A. (2002) · Neural Computing and Applications · doi:10.1007/s005210200021 · Cited by 131
Accurate value-at-risk forecasting based on the normal-GARCH model
Hartz, C., Mittnik, S., & Paolella, M. S. (2006) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2006.09.017 · Cited by 88
Time Series Predicition using Recurrent SOM with Local Linear Models
Koskela, T., Varsta, M., Heikkonen, J., et al. (1997) · International Journal of Knowledge-based and Intelligent Engineering Systems · Cited by 72
Stock market dynamics in a regime-switching asymmetric power GARCH model
Ané, T., & Ureche‐Rangau, L. (2005) · International Review of Financial Analysis · doi:10.1016/j.irfa.2005.08.002 · Cited by 28
Genetic Algorithms for Predicting the Egyptian Stock Market
Badawy, F. A., Abdelazim, H. Y., & Darwish, M. G. (2006) · doi:10.1109/itict.2005.1609619 · Cited by 23
(2007) · Cited by 9
Recurrent Self-Organising Maps and Local Support Vector Machine Models for Exchange Rate Prediction
He, N., & Yin, H. (2006) · Lecture notes in computer science · doi:10.1007/11760191_74 · Cited by 8
Self-citationStawicki, S. P. (2017) · International Journal of Academic Medicine · doi:10.4103/ijam.ijam_21_17 · Cited by 8
Trade Stocks and Commodities with the Insiders: Secrets of the Cot Report
Williams, L. R. (2005) · Medical Entomology and Zoology · Cited by 6
Intelligent trading advisor [for investment analysis]
Chu, S. C. W., Ng, H. S., & Lam, K. P. (2002) · IEEE International Conference on Management of Innovation and Technology (ICMIT) · doi:10.1109/icmit.2000.917270 · Cited by 5
Research works printed but not linked: 1
- S.C.W. Chu, H.S. Ng, K.P. Lam, Intelligent trading advisor, in: Proceedings of 2000 IEEE International Conference on management of innovation and technology, vol. 1, 2000, pp. 53–58.
Cited by
Revisiting the Performance of MACD and RSI Oscillators
Chong, T., Ng, W.-K., & Liew, V. (2014) · Journal of Risk and Financial Management · doi:10.3390/jrfm7010001 · Cited by 95
“MACD was proven to be valuable tools for traders in the 1980s and RSI has also been popularly adopted since its introduction by Wilder in 1978 (Wilder, 1978; Stawicki, 2007; Ni and Yin, 2009).”
MethodMachine Learning Algorithm for Cryptocurrencies Price Prediction
Awotunde, J. B., Ogundokun, R. O., Jimoh, R. G., Misra, S., & Aro, T. O. (2021) · Studies in Computational Intelligence · doi:10.1007/978-3-030-72236-4_17 · Cited by 58
Metadata
- Authors
- Ni, H., & Yin, H.
- Affiliations
- University of Manchester (GB)
- Corresponding author
- Yin, Hujun
- ORCID
- Yin, Hujun
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2009-08
- Volume
- 72
- Issue
- 13-15
- Pages
- 2815-2823
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2158960338
- Cited by
- 94
- References
- 36
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 2 · 2022: 9 · 2021: 9 · 2020: 8 · 2019: 5 · 2018: 9 · 2017: 7 · 2016: 6 · 2015: 3 · 2014: 7 · 2013: 5 · 2012: 12
- FWCI
- 8.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Neurocomputing (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Stock Market Forecasting Methods
- Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Keywords
- exchange rate forecasting, hybrid neural network, support vector regression, trading indicators, MACD, relative strength index, GARCH comparison
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.