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
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Exchange rate prediction using hybrid neural networks and trading indicators. https://app.cochat.ai/papers/10.1016/j.neucom.2008.09.023
- The paper
- Ni, H., & Yin, H. (2009). Exchange rate prediction using hybrid neural networks and trading indicators. Neurocomputing. https://doi.org/10.1016/j.neucom.2008.09.023
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.
