<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1665-5346</journal-id>
<journal-title><![CDATA[Revista mexicana de economía y finanzas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. econ. finanz]]></abbrev-journal-title>
<issn>1665-5346</issn>
<publisher>
<publisher-name><![CDATA[Instituto Mexicano de Ejecutivos de Finanzas A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1665-53462022000100006</article-id>
<article-id pub-id-type="doi">10.21919/remef.v17i1.570</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Neuro-wavelet Model for price prediction in high-frequency data in the Mexican Stock market]]></article-title>
<article-title xml:lang="es"><![CDATA[Modelo de neuro-onda para predicción de precios en datos de alta frecuencia en el Mercado Bursátil Mexicano]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Massa Roldán]]></surname>
<given-names><![CDATA[Ricardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Reyna Miranda]]></surname>
<given-names><![CDATA[Montserrat]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gómez Salcido]]></surname>
<given-names><![CDATA[Vicente]]></given-names>
</name>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Centro de Investigación y Docencia Económicas  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Anáhuac México  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<volume>17</volume>
<numero>1</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1665-53462022000100006&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1665-53462022000100006&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1665-53462022000100006&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract With the availability of high frequency data and new techniques for the management of noise in signals, we revisit the question, can we predict financial asset prices? The present work proposes an algorithm for next-step log-return prediction. Data in frequencies from 1 to 15 minutes, for 25 high capitalization assets in the Mexican market were used. The model applied consists on a wavelet followed by a Long Short-Term Memory neural network (LSTM). Application of either wavelets or neural networks in finance are common, the novelty comes from the application of the particular architecture proposed. The results show that, on average, the proposed LSTM neuro-wavelet model outperforms both an ARIMA model and a benchmark dense neural network model. We conclude that, although further research (in other stock markets, at higher frequencies, etc.) is in order, given the ever increasing technical capacity of market participants, the inclusion of the LSTM neuro-wavelet model is a valuable addition to the market participant toolkit, and might pose an advantage to traditional predictive tools.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Con la disponibilidad de datos de alta frecuencia y nuevas técnicas para la filtración de señales, es pertinente preguntarse una vez más ¿podemos predecir los precios de los activos financieros? El presente trabajo propone un algoritmo para la predicción de retorno logarítmico del siguiente periodo. Se usan datos en frecuencias de 1 a 15 minutos, para 25 activos de alta capitalización en el mercado accionario mexicano. El modelo consiste en la aplicación de una wavelet seguida de una red neuronal de tipo Long Short-Term Memory (LSTM). En la literatura comúnmente se encuentra el uso de wavelets o de redes neuronales en aplicaciones financieras, la novedad de nuestro trabajo radica en la arquitectura particular que proponemos. Los resultados muestran que, en promedio, el modelo de neuro-wavelet propuesto supera tanto a un modelo ARIMA como a un modelo de red neuronal densa de referencia. Podemos concluir que, aunque más investigación es necesaria, dada la creciente capacidad técnica actual de los participantes del mercado, la inclusión del modelo LSTM neuro - wavelet al abanico de herramientas disponibles es de mucho valor, pues podría representar una ventaja sobre las herramientas predictivas tradicionales.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[C45]]></kwd>
<kwd lng="en"><![CDATA[C53]]></kwd>
<kwd lng="en"><![CDATA[C88]]></kwd>
<kwd lng="en"><![CDATA[G14]]></kwd>
<kwd lng="en"><![CDATA[G17]]></kwd>
<kwd lng="en"><![CDATA[market efficiency]]></kwd>
<kwd lng="en"><![CDATA[high frequency data]]></kwd>
<kwd lng="en"><![CDATA[LSTM neural network]]></kwd>
<kwd lng="en"><![CDATA[wavelet]]></kwd>
<kwd lng="es"><![CDATA[C45]]></kwd>
<kwd lng="es"><![CDATA[C53]]></kwd>
<kwd lng="es"><![CDATA[C88]]></kwd>
<kwd lng="es"><![CDATA[G14]]></kwd>
<kwd lng="es"><![CDATA[G17]]></kwd>
<kwd lng="es"><![CDATA[eficiencia de mercados]]></kwd>
<kwd lng="es"><![CDATA[datos de alta frecuencia]]></kwd>
<kwd lng="es"><![CDATA[redes neuronales LSTM]]></kwd>
<kwd lng="es"><![CDATA[ondeletas]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Adnan]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Hisyam Lee]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Nor]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Neural Network Forecasting: Error Magnitude and Directional Change Error Evaluation]]></article-title>
<source><![CDATA[Recent Advances in Computational Mathematics]]></source>
<year>2011</year>
<page-range>92-6</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aktan]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Mabrouk]]></surname>
<given-names><![CDATA[A. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Ozturk]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Rhaiem]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Wavelet-based systematic risk estimation: an application on Istanbul stock exchange]]></article-title>
<source><![CDATA[International Research Journal of Finance and Economics]]></source>
<year>2009</year>
<volume>23</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>33-45</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ardila]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Sornette]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Dating the financial cycle with uncertainty estimates: a wavelet proposition]]></article-title>
<source><![CDATA[Finance Research Letters]]></source>
<year>2016</year>
<volume>19</volume>
<page-range>298-304</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Arévalo]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Nino]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[León]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Hernandez]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Sandoval]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep learning and wavelets for high-frequency price forecasting]]></article-title>
<source><![CDATA[International Conference on Computational Science]]></source>
<year>2018</year>
<page-range>385-99</page-range><publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ariyo]]></surname>
<given-names><![CDATA[A. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Adewumi]]></surname>
<given-names><![CDATA[A. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Ayo]]></surname>
<given-names><![CDATA[C. K.]]></given-names>
</name>
</person-group>
<source><![CDATA[Stock price prediction using the ARIMA model]]></source>
<year>2014</year>
<conf-name><![CDATA[ 16thInternational Conference on Computer Modelling and Simulation]]></conf-name>
<conf-date>2014</conf-date>
<conf-loc> </conf-loc>
<page-range>106-12</page-range><publisher-name><![CDATA[IEEE]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aussem]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Murtagh]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Combining neural network forecasts on wavelet-transformed time series]]></article-title>
<source><![CDATA[Connection Science]]></source>
<year>1997</year>
<volume>9</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>113-22</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bakhach]]></surname>
<given-names><![CDATA[A. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Tsang]]></surname>
<given-names><![CDATA[E. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Raju Chinthalapati]]></surname>
<given-names><![CDATA[V. L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[TSFDC: A trading strategy based on forecasting directional change]]></article-title>
<source><![CDATA[Intelligent Systems in Accounting, Finance and Management]]></source>
<year>2018</year>
<volume>25</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>105-23</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ball]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Anomalies in relationships between securities' yields and yield-surrogates]]></article-title>
<source><![CDATA[Journal of financial economics]]></source>
<year>1978</year>
<volume>6</volume>
<numero>2-3</numero>
<issue>2-3</issue>
<page-range>103-26</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bao]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Yue]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Rao]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A deep learning framework for financial time series using stacked autoencoders and long-short term memory]]></article-title>
<source><![CDATA[PloS one]]></source>
<year>2017</year>
<volume>12</volume>
<numero>7</numero>
<issue>7</issue>
</nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Black]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Noise]]></article-title>
<source><![CDATA[The journal of finance]]></source>
<year>1986</year>
</nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="book">
<collab>Bloomberg L.P.</collab>
<source><![CDATA[Tickers for stocks in the Mexican Stock Market]]></source>
<year>2017</year>
<publisher-name><![CDATA[Bloomberg terminal]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Box]]></surname>
<given-names><![CDATA[G.E.P.]]></given-names>
</name>
<name>
<surname><![CDATA[Jenkins]]></surname>
<given-names><![CDATA[G.M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Time Series Analysis Forecasting And Control]]></source>
<year>1970</year>
<edition>3</edition>
</nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bruzda]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Complex analytic wavelets in the measurement of macroeconomic risks]]></article-title>
<source><![CDATA[The North American Journal of Economics and Finance]]></source>
<year>2019</year>
<volume>50</volume>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Caetano]]></surname>
<given-names><![CDATA[M. A. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Yoneyama]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Characterizing abrupt changes in the stock prices using a wavelet decomposition method]]></article-title>
<source><![CDATA[Physica A: Statistical Mechanics and its Applications]]></source>
<year>2007</year>
<volume>383</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>519-26</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Carrion]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Very fast money: High-frequency trading on the NASDAQ]]></article-title>
<source><![CDATA[Journal of Financial Markets]]></source>
<year>2013</year>
<volume>16</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>680-711</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[P. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Fan]]></surname>
<given-names><![CDATA[C. Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A hybrid system integrating a wavelet and TSK fuzzy rules for stock price forecasting]]></article-title>
<source><![CDATA[IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)]]></source>
<year>2008</year>
<volume>38</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>802-15</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Choi]]></surname>
<given-names><![CDATA[J. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Combining LSTM network ensemble via adaptive weighting for improved time series forecasting]]></article-title>
<source><![CDATA[Mathematical Problems in Engineering]]></source>
<year>2018</year>
<volume>2018</volume>
</nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cohen]]></surname>
<given-names><![CDATA[R. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Gompers]]></surname>
<given-names><![CDATA[P. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Vuolteenaho]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Who underreacts to cash-flow news? Evidence from trading between individuals and institutions]]></article-title>
<source><![CDATA[Journal of financial economics]]></source>
<year>2002</year>
<volume>66</volume>
<numero>2-3</numero>
<issue>2-3</issue>
<page-range>409-62</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cybenko]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Approximation by superpositions of a sigmoidal function]]></article-title>
<source><![CDATA[Mathematics of control, signals and systems]]></source>
<year>1989</year>
<volume>2</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>303-14</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dremin]]></surname>
<given-names><![CDATA[I. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Leonidov]]></surname>
<given-names><![CDATA[A. V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Volatility dynamics of wavelet-filtered stock prices]]></article-title>
<source><![CDATA[Bulletin of the Lebedev Physics Institute]]></source>
<year>2008</year>
<volume>35</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>1-5</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dunne]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghosh]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Weather adaptive traffic prediction using neurowavelet models]]></article-title>
<source><![CDATA[IEEE Transactions on Intelligent Transportation Systems]]></source>
<year>2013</year>
<volume>14</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>370-9</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Elman]]></surname>
<given-names><![CDATA[J. L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Finding structure in time]]></article-title>
<source><![CDATA[Cognitive science]]></source>
<year>1990</year>
<volume>14</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>179-211</page-range></nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fama]]></surname>
<given-names><![CDATA[E. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Efficient capital markets: A review of theory and empirical work]]></article-title>
<source><![CDATA[The journal of finance]]></source>
<year>1970</year>
<volume>25</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>383-417</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fischer]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Krauss]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep learning with long short-term memory networks for financial market predictions]]></article-title>
<source><![CDATA[European Journal of Operational Research]]></source>
<year>2018</year>
<volume>270</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>654-69</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Giardina]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Bouchaud]]></surname>
<given-names><![CDATA[J. P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Bubbles, crashes and intermittency in agent based market models]]></article-title>
<source><![CDATA[The European Physical Journal B-Condensed Matter and Complex Systems]]></source>
<year>2003</year>
<volume>31</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>421-37</page-range></nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gomes]]></surname>
<given-names><![CDATA[G. S. D. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ludermir]]></surname>
<given-names><![CDATA[T. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Lima]]></surname>
<given-names><![CDATA[L. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison of new activation functions in neural network for forecasting financial time series]]></article-title>
<source><![CDATA[Neural Computing and Applications]]></source>
<year>2011</year>
<volume>20</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>417-39</page-range></nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Goodfellow]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Bengio]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Courville]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[ep learning: adaptive computation and machine learning]]></source>
<year>2016</year>
<publisher-name><![CDATA[The MIT Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gupta]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Das]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Hasim]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Tiwari]]></surname>
<given-names><![CDATA[A. K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The dynamic relationship between stock returns and trading volume revisited: A MODWT-VAR approach]]></article-title>
<source><![CDATA[Finance Research Letters]]></source>
<year>2018</year>
<volume>27</volume>
<page-range>91-8</page-range></nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hansson]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[On stock return prediction with LSTM networks]]></source>
<year>2017</year>
</nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hayek]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The Use of Knowledge in Society]]></article-title>
<source><![CDATA[The American Economic Review]]></source>
<year>1945</year>
<volume>35</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>519-30</page-range></nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hendershott]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Riordan]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[High frequency trading and price discovery]]></source>
<year>2011</year>
<publisher-loc><![CDATA[Berkeley ]]></publisher-loc>
<publisher-name><![CDATA[University of California]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hochreiter]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Schmidhuber]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Long short-term memory]]></article-title>
<source><![CDATA[Neural computation]]></source>
<year>1997</year>
<volume>9</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>1735-80</page-range></nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hornik]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Stinchcombe]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[White]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Multilayer feedforward networks are universal approximators]]></article-title>
<source><![CDATA[Neural networks]]></source>
<year>1989</year>
<volume>2</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>359-66</page-range></nlm-citation>
</ref>
<ref id="B34">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ismail]]></surname>
<given-names><![CDATA[M. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Audu]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Tumala]]></surname>
<given-names><![CDATA[M. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison of forecasting performance between MODWT-GARCH (1, 1) and MODWT-EGARCH (1, 1) models: Evidence from African stock markets]]></article-title>
<source><![CDATA[The journal of finance and Data Science]]></source>
<year>2016</year>
<volume>2</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>254-64</page-range></nlm-citation>
</ref>
<ref id="B35">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jammazi]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Aloui]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling]]></article-title>
<source><![CDATA[Energy Economics]]></source>
<year>2012</year>
<volume>34</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>828-41</page-range></nlm-citation>
</ref>
<ref id="B36">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jefferies]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Hart]]></surname>
<given-names><![CDATA[M. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Hui]]></surname>
<given-names><![CDATA[P. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Johnson]]></surname>
<given-names><![CDATA[N. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[From market games to real-world markets]]></article-title>
<source><![CDATA[The European Physical Journal B-Condensed Matter and Complex Systems]]></source>
<year>2001</year>
<volume>20</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>493-501</page-range></nlm-citation>
</ref>
<ref id="B37">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jordan]]></surname>
<given-names><![CDATA[M. I.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Serial order: A parallel distributed processing approach]]></article-title>
<source><![CDATA[Advances in psychology]]></source>
<year>1997</year>
<volume>121</volume>
<page-range>471-95</page-range><publisher-name><![CDATA[North-Holland]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B38">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Khashei]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Bijari]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An artificial neural network (p, d, q) model for timeseries forecasting]]></article-title>
<source><![CDATA[Expert Systems with applications]]></source>
<year>2010</year>
<volume>37</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>479-89</page-range></nlm-citation>
</ref>
<ref id="B39">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kirilenko]]></surname>
<given-names><![CDATA[A. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Lamacie]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<source><![CDATA[Latency and asset prices]]></source>
<year>2015</year>
</nlm-citation>
</ref>
<ref id="B40">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ki&#351;i]]></surname>
<given-names><![CDATA[Ö.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Stream flow forecasting using neuro&#8208;wavelet technique]]></article-title>
<source><![CDATA[Hydrological Processes: An International Journal]]></source>
<year>2008</year>
<volume>22</volume>
<numero>20</numero>
<issue>20</issue>
<page-range>4142-52</page-range></nlm-citation>
</ref>
<ref id="B41">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ledolter]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Abraham]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Parsimony and its importance in time series forecasting]]></article-title>
<source><![CDATA[Technometrics]]></source>
<year>1981</year>
<volume>23</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>411-4</page-range></nlm-citation>
</ref>
<ref id="B42">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Maciel]]></surname>
<given-names><![CDATA[L. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ballini]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[Design a neural network for time series financial forecasting: Accuracy and robustness analysis]]></source>
<year>2008</year>
<conf-name><![CDATA[ Anales do 9º Encontro Brasileiro de Finanças]]></conf-name>
<conf-loc>Sao Pablo, Brazil </conf-loc>
</nlm-citation>
</ref>
<ref id="B43">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Maknickien&#279;]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Maknickas]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Application of neural network for forecasting of exchange rates and forex trading]]></source>
<year>2012</year>
<conf-name><![CDATA[ The 7th international scientific conference Business and Management]]></conf-name>
<conf-loc> </conf-loc>
<page-range>10-1</page-range></nlm-citation>
</ref>
<ref id="B44">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Malkiel]]></surname>
<given-names><![CDATA[B. G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The efficient market hypothesis and its critics]]></article-title>
<source><![CDATA[Journal of economic perspectives]]></source>
<year>2003</year>
<volume>17</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>59-82</page-range></nlm-citation>
</ref>
<ref id="B45">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Martens]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Measuring and forecasting S&amp;P 500 index&#8208;futures volatility using high&#8208;frequency data]]></article-title>
<source><![CDATA[Journal of Futures Markets: Futures, Options, and Other Derivative Products]]></source>
<year>2002</year>
<volume>22</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>497-518</page-range></nlm-citation>
</ref>
<ref id="B46">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mehr]]></surname>
<given-names><![CDATA[A. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Kahya]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Olyaie]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Streamflow prediction using linear genetic programming in comparison with a neuro-wavelet technique]]></article-title>
<source><![CDATA[Journal of Hydrology]]></source>
<year>2013</year>
<volume>505</volume>
<page-range>240-9</page-range></nlm-citation>
</ref>
<ref id="B47">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Minu]]></surname>
<given-names><![CDATA[K. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Lineesh]]></surname>
<given-names><![CDATA[M. C.]]></given-names>
</name>
<name>
<surname><![CDATA[John]]></surname>
<given-names><![CDATA[C. J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Wavelet neural networks for nonlinear time series analysis]]></article-title>
<source><![CDATA[Applied Mathematical Sciences]]></source>
<year>2010</year>
<volume>4</volume>
<numero>50</numero>
<issue>50</issue>
<page-range>2485-95</page-range></nlm-citation>
</ref>
<ref id="B48">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Murtagh]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Starck]]></surname>
<given-names><![CDATA[J. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Renaud]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[On neuro-wavelet modeling]]></article-title>
<source><![CDATA[Decision Support Systems]]></source>
<year>2004</year>
<volume>37</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>475-84</page-range></nlm-citation>
</ref>
<ref id="B49">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Napoli]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Bonanno]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Capizzi]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An hybrid neuro-wavelet approach for long-term prediction of solar wind]]></article-title>
<source><![CDATA[Proceedings of the International Astronomical Union]]></source>
<year>2010</year>
<volume>6</volume>
<numero>S274</numero>
<issue>S274</issue>
<page-range>153-5</page-range></nlm-citation>
</ref>
<ref id="B50">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nath]]></surname>
<given-names><![CDATA[G. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Dalvi]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Day of the week effect and market efficiency-evidence from Indian equity market using high frequency data of national stock exchange]]></source>
<year>2004</year>
</nlm-citation>
</ref>
<ref id="B51">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Oancea]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Ciucu]]></surname>
<given-names><![CDATA[&#350;. C.]]></given-names>
</name>
</person-group>
<source><![CDATA[Time series forecasting using neural networks]]></source>
<year>2014</year>
<conf-name><![CDATA[ Proceedings of the CKS 2013 International Conference]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B52">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ortega]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Khashanah]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A neuro&#8208;wavelet model for the short&#8208;term forecasting of high&#8208;frequency time series of stock returns]]></article-title>
<source><![CDATA[Journal of Forecasting]]></source>
<year>2014</year>
<volume>33</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>134-46</page-range></nlm-citation>
</ref>
<ref id="B53">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Otazu]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Theory and implementation of image fusion methods based on the a trous algorithm]]></article-title>
<source><![CDATA[Image Fusion]]></source>
<year>2008</year>
<volume>139</volume>
</nlm-citation>
</ref>
<ref id="B54">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[O&#8217;Hara]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[High-Frequency Trading and its impact on Markets]]></article-title>
<source><![CDATA[Financial Analysts Journal]]></source>
<year>2014</year>
<volume>70</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B55">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pascanu]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Mikolov]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Bengio]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<source><![CDATA[On the difficulty of training recurrent neural networks]]></source>
<year>2013</year>
<conf-name><![CDATA[ International conference on machine learning]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1310-8</page-range></nlm-citation>
</ref>
<ref id="B56">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Percival]]></surname>
<given-names><![CDATA[D. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Walden]]></surname>
<given-names><![CDATA[A. T.]]></given-names>
</name>
</person-group>
<source><![CDATA[Wavelet methods for time series analysis]]></source>
<year>2000</year>
<volume>4</volume>
<publisher-name><![CDATA[Cambridge university press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B57">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ramsey]]></surname>
<given-names><![CDATA[J. B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The contribution of wavelets to the analysis of economic and financial data]]></article-title>
<source><![CDATA[Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences]]></source>
<year>1999</year>
<volume>357</volume>
<numero>1760</numero>
<issue>1760</issue>
<page-range>2593-606</page-range></nlm-citation>
</ref>
<ref id="B58">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Reboredo]]></surname>
<given-names><![CDATA[J. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Rivera-Castro]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A wavelet decomposition approach to crude oil price and exchange rate dependence]]></article-title>
<source><![CDATA[Economic Modelling]]></source>
<year>2013</year>
<volume>32</volume>
<page-range>42-57</page-range></nlm-citation>
</ref>
<ref id="B59">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Roman]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Jameel]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Backpropagation and recurrent neural networks in financial analysis of multiple stock market returns]]></source>
<year>1996</year>
<volume>2</volume>
<conf-name><![CDATA[ 29thHawaii International Conference on System Sciences]]></conf-name>
<conf-loc> </conf-loc>
<page-range>454-60</page-range><publisher-name><![CDATA[IEEE]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B60">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Siami-Namini]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Namin]]></surname>
<given-names><![CDATA[A. S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Forecasting economics and financial time series: ARIMA vs. LSTM]]></source>
<year>2018</year>
<publisher-name><![CDATA[arXiv]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B61">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sirignano]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Spiliopoulos]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Stochastic gradient descent in continuous time]]></article-title>
<source><![CDATA[SIAM Journal on Financial Mathematics]]></source>
<year>2017</year>
<volume>8</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>933-61</page-range></nlm-citation>
</ref>
<ref id="B62">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Strawi&#324;ski]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[&#346;lepaczuk]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Analysis of high frequency data on the Warsaw Stock Exchange in the context of efficient market hypothesis]]></article-title>
<source><![CDATA[Journal of Applied Economic Sciences]]></source>
<year>2008</year>
<volume>3</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>306-19</page-range></nlm-citation>
</ref>
<ref id="B63">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tapia]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Hipótesis de eficiencia en mercados automatizados]]></source>
<year>2020</year>
<publisher-name><![CDATA[EGADE Business School, Tecnologico de Monterrey]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B64">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[B. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Coggins]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Jabri]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Dersch]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Flower]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Multiresolution forecasting for futures trading using wavelet decompositions]]></article-title>
<source><![CDATA[IEEE Transactions on Neural Networks]]></source>
<year>2001</year>
<volume>12</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>765-75</page-range></nlm-citation>
</ref>
<ref id="B65">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Fan]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[MODWT-ARMA model for time series prediction]]></article-title>
<source><![CDATA[Applied Mathematical Modelling]]></source>
<year>2014</year>
<volume>38</volume>
<numero>5-6</numero>
<issue>5-6</issue>
<page-range>1859-65</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
