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class="box-container"><header><form name="searchForm" id="searchForm" action="?form_name=Jel&code=C38&lim=false" method="post">    <h1 class="section-title">    <div>Search Results</div>    <span>JEL Code: C38</span></h1>            <div class="organization-header">
            <div class="info">
                
                                
                
                    <strong>    74,679 </strong>Total downloads
                                
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Operations Research & Industrial Engineering and University of California, Irvine                                    </div>                                                                                                                                                                                                                        <div class="keywords">                                                                                                                                                    </div>                                                        </div>                                                                                    <div class="downloads">                                                                <span>Downloads</span>                                <span> 4,406</span>                                                        </div>                            </div>                                                                                                                                                                                                                                                                <div class="trow abs abs_3304756" id="div_3304756">                        <div class="actions">                            2.                                                                                                    <i class="icn icn-free"></i>                                                                                         </div>                            <div class="description">                                                                                                                        <h3>                                    <span><a                                            class="title optClickTitle" href="https://privpapers.ssrn.com/sol3/papers.cfm?abstract_id=3304756">Focused Concept Miner (FCM): Interpretable Deep Learning for Text Exploration</a>                                </span>                                </h3>                                                                                                                            <div class="note note-list">                                                                                <span>Number of pages: 45</span>                                                                                                                    <span>Posted: 21 Dec 2018</span>                                                                                                                    <span>Last Revised: 23 Sep 2020</span>                                                                        </div>                                                                                            <div class="afiliations">                                    Working Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">                                    <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1614669" target="_blank">Dokyun Lee</a>, <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2623809" target="_blank">Emaad Manzoor</a> and <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=3104779" target="_blank">Zhaoqi Cheng</a>                                    </div>                                    <div class="afiliations">                                    Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University, Students and Carnegie Mellon University - David A. Tepper School of Business                                    </div>                                                                                                                                                                                                                        <div class="keywords">                                                                                                                                                    </div>                                                        </div>                                                                                    <div class="downloads">                                                                <span>Downloads</span>                                <span> 4,323</span>                                                        </div>                            </div>                                                                                                                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                                                                                                                         <div class="note note-list">                                                                                <span>Number of pages: 66</span>                                                                                                                    <span>Posted: 04 Apr 2019</span>                                                                                                                    <span>Last Revised: 09 Nov 2020</span>                                                                        </div>                                                                                            <div class="afiliations">                                    Working Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">                                    <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=3028446" target="_blank">Luyang Chen</a>, <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1333312" target="_blank">Markus Pelger</a> and <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=3412915" target="_blank">Jason Zhu</a>                                    </div>                                    <div class="afiliations">                                    Stanford University - Institute for Computational and Mathematical Engineering, Stanford University - Department of Management Science & Engineering and Stanford University - Management Science & Engineering                                    </div>                                                                                                                                                                 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class="trow abs abs_3232721" id="div_3232721">                        <div class="actions">                            4.                                                                                                    <i class="icn icn-free"></i>                                                                                         </div>                            <div class="description">                                                                                                                        <h3>                                    <span><a                                            class="title optClickTitle" href="https://privpapers.ssrn.com/sol3/papers.cfm?abstract_id=3232721">Bond Risk Premia with Machine Learning</a>                                </span>                                </h3>                                                                                                                                <div><i>WBS Finance Group Research Paper No. 252</i>                                    </div>                                                                    <div class="note note-list">                                                                                <span>Number of pages: 86</span>                                                                                                                    <span>Posted: 26 Aug 2018</span>                                                                                                                    <span>Last Revised: 08 Apr 2020</span>                                                                        </div>                                                                                            <div class="afiliations">                                    Working Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">                                    <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1629411" target="_blank">Daniele Bianchi</a>, <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2611539" target="_blank">Matthias Büchner</a> and <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1209422" target="_blank">Andrea Tamoni</a>                                    </div>                                    <div class="afiliations">                                    School of Economics and Finance, Queen Mary University of London, University of Cambridge - Centre for Endowment Asset Management, Cambridge Judge Business School and Rutgers, The State University of New Jersey - Rutgers Business School at Newark & New Brunswick                                    </div>                                                                                                                                                                                                                        <div class="keywords">                                                                                                                                                    </div>                                                        </div>                                                                                    <div class="downloads">                                                                <span>Downloads</span>                                <span> 2,386</span>                                                        </div>                            </div>                                                                                                                                                                                                                                                             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class="note note-list">                                                                                <span>Number of pages: 24</span>                                                                                                                    <span>Posted: 24 Sep 2019</span>                                                                                                            </div>                                                                                            <div class="afiliations">                                    Working Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">                                    <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1452771" target="_blank">Matthew Francis Dixon</a> and <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1650179" target="_blank">Igor Halperin</a>                                    </div>                                    <div class="afiliations">                                    Illinois Institute of Technology and Fidelity Investments, Inc.                                    </div>                                                                                                                                                                                                                        <div class="keywords">                                                                                                                                                    </div>                                                        </div>                                                                                    <div class="downloads">                                                                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                      <span><a                                            class="title optClickTitle" href="https://privpapers.ssrn.com/sol3/papers.cfm?abstract_id=3192101">LexNLP: Natural Language Processing and Information Extraction For Legal and Regulatory Texts</a>                                </span>                                </h3>                                                                                                                            <div class="note note-list">                                                                                <span>Number of pages: 7</span>                                                                                                                    <span>Posted: 21 Jun 2018</span>                                                                                                            </div>                                                                                            <div class="afiliations">                                    Working Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">                                    <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=817068" target="_blank">Michael James Bommarito</a>, <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=627779" target="_blank">Daniel Martin Katz</a> and <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1084235" target="_blank">Eric Detterman</a>                                    </div>                                    <div class="afiliations">                                    Bommarito Consulting, LLC, Illinois Tech - Chicago Kent College of Law and LexPredict, LLC                                    </div>                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                                                     <div class="note note-list">                                                                                <span>Number of pages: 50</span>                                                                                                                    <span>Posted: 08 Nov 2012</span>                                                                                                                    <span>Last Revised: 26 May 2014</span>                                                                        </div>                                                                                            <div class="afiliations">                                    Working Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">                                    <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=434076" target="_blank">Marcos Lopez de Prado</a>                                    </div>                                    <div class="afiliations">                                    Cornell University - Operations Research & Industrial Engineering                                    </div>                                                                                                                                                                                                                        <div class="keywords">                                                                                                                                                    </div>                                                        </div>                                                                                    <div class="downloads">                   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<div><i>Energy Economics, Vol. 81, 2019</i>                                    </div>                                                                    <div class="note note-list">                                                                                <span>Number of pages: 71</span>                                                                                                                    <span>Posted: 15 Nov 2018</span>                                                                                                                    <span>Last Revised: 08 Jun 2019</span>                                                                        </div>                                                                                            <div class="afiliations">                                    Accepted Paper Series                                    </div>                                                                                           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Verbiest</a>                                    </div>                                    <div class="afiliations">                                    Baloise Insurance                                    </div>                                                                                                                                                                                                                        <div class="keywords">                                                                                                                                                    </div>                                                        </div>                                                                                    <div class="downloads">                                                                <span>Downloads</span>                                <span>  911</span>                                                        </div>      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href="https://privpapers.ssrn.com/sol3/papers.cfm?abstract_id=1957331">The Behavioral Aspect of Mergers and Acquisitions: A Case Study from India</a>                                </span>                                </h3>                                                                                                                                <div><i>Global Journal of Business Research, Vol. 6, No. 3, pp. 103-113, 2012</i>                                    </div>                                                                    <div class="note note-list">                                                                                <span>Number of pages: 11</span>                                                                                                                    <span>Posted: 05 Jan 2012</span>                                                                                                            </div>                                    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                             Meghnad Saha Institute of Technology, Vishweshwarayya National Institute of Technology, <i>affiliation not provided to SSRN</i> and Meghnad Saha Institute of Technology                                    </div>                                                                                                                                                                                                                        <div class="keywords">                                                                                                                                                    </div>                                                        </div>                                                                                    <div class="downloads">                                                                <span>Downloads</span>                                <span>  865</span>                                           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class="title optClickTitle" href="https://privpapers.ssrn.com/sol3/papers.cfm?abstract_id=2868473">A High Frequency Trade Execution Model for Supervised Learning</a>                                </span>                                </h3>                                                                                                                                <div><i>Forthcoming in High Frequency</i>                                    </div>                                                                    <div class="note note-list">                                                                                <span>Number of pages: 27</span>                                                                                                                    <span>Posted: 15 Nov 2016</span>                                                                                                                    <span>Last Revised: 06 Dec 2017</span>                     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Working Paper No. 674</i>                                    </div>                                                                    <div class="note note-list">                                                                                <span>Number of pages: 89</span>                                                                                                                    <span>Posted: 06 Sep 2017</span>                                                                                                            </div>                                                                                            <div class="afiliations">                                    Working Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">                                    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Acs</a>                                    </div>                                    <div class="afiliations">                                    University of Pécs and Schar School of Policy and Government                                    </div>                                                                                                                                                                                                                        <div class="keywords">                                                                                                                                                    </div>                                                        </div>                                                                                    <div class="downloads">                                                                <span>Downloads</span>                                <span>  742</span>                                                        </div>                            </div>                                                                                                                                                                                                                                                                <div class="trow abs abs_3002797" id="div_3002797">                        <div class="actions">                            15.                                                                                                    <i class="icn icn-free"></i>                                                                                         </div>                            <div class="description">                                                                                                                        <h3>                                    <span><a                                            class="title optClickTitle" href="https://privpapers.ssrn.com/sol3/papers.cfm?abstract_id=3002797">The Correlation Structure of Anomaly Strategies</a>                                </span>                                </h3>                                                                                                                            <div class="note note-list">                                                                                <span>Number of pages: 97</span>                                                                                                                    <span>Posted: 19 Jul 2017</span>                                                                                                                    <span>Last Revised: 04 Aug 2020</span>                                                                        </div>                                                                                            <div class="afiliations">                                    Working Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">                                    <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1759387" target="_blank">Paul Geertsema</a> and <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1315714" target="_blank">Helen Lu</a>                                    </div>                                    <div class="afiliations">                                    University of Auckland - Department of Accounting and Finance and University of Auckland - University of Auckland, Business School                                    </div>                                                                                                                                                                                                                        <div class="keywords">                                                                                                                                                    </div>                                                        </div>                                                                                    <div class="downloads">                                                                <span>Downloads</span>                                <span>  741</span>                                                        </div>                            </div>                                                                                                                                                                                                                                                                <div class="trow abs abs_1837062" id="div_1837062">                        <div class="actions">                            16.                                                                                                    <i class="icn icn-free"></i>                                                                                         </div>                            <div class="description">                                                                                                                        <h3>                                    <span><a                                            class="title optClickTitle" href="https://privpapers.ssrn.com/sol3/papers.cfm?abstract_id=1837062">Consumers’ Attitudes Toward Medical Tourism</a>                                </span>                                </h3>                                                                                                                            <div class="note note-list">                                                                                <span>Number of pages: 44</span>                                                                                                                    <span>Posted: 12 May 2011</span>                                                                                                            </div>                                                                                            <div class="afiliations">                                    Working Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">                                    <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=376763" target="_blank">Lydia L. 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Frederick</a>                                    </div>                                    <div class="afiliations">                                    University of North Carolina at Pembroke and University of North Carolina (UNC) at Pembroke - Medical Tourism Research Center                                    </div>                                                                                                                                                                                                                        <div class="keywords">                                                                                                                                                    </div>                                                        </div>                                                                                    <div class="downloads">                                                                <span>Downloads</span>            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                             <div><i>Journal of Finance, Forthcoming</i>                                    </div>                                                                    <div class="note note-list">                                                                                <span>Number of pages: 55</span>                                                                                                                    <span>Posted: 24 Aug 2015</span>                                                                                                                    <span>Last Revised: 23 Mar 2020</span>                                                                        </div>                                                                                            <div class="afiliations">                                    Accepted Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">                                    <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=1333312" target="_blank">Markus Pelger</a>                                    </div>                                    <div class="afiliations">                                    Stanford University - Department of Management Science & Engineering                                    </div>                                                                                                                                                                                                                        <div class="keywords">                                                                                                                                                    </div>                                                        </div> 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A., Abdallah, W. M., Mulkeen, J., Ntim, C. G., & Wang, Y. (2017) ‘Prediction of financial strength ratings using machine learning and conventional techniques’, Investment Management and Financial Innovation, 14(4), pp. 194-211, (Accepted 20th December, 2017)</i>                                    </div>                                                                    <div class="note note-list">                                                                                <span>Number of pages: 32</span>                                                                                                                    <span>Posted: 19 Jan 2018</span>                                                                                                            </div>                                                                                            <div class="afiliations">                                    Accepted Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">                                    <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2179342" target="_blank">Hussein Abdou</a>, <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=4564322" target="_blank">Wael Abdallah</a>, <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2179351" target="_blank">James Mulkeen</a>, <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=366655" target="_blank">Collins G. 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69-80, 2016</i>                                    </div>                                                                    <div class="note note-list">                                                                                <span>Number of pages: 12</span>                                                                                                                    <span>Posted: 29 Jan 2016</span>                                                                                                            </div>                                                                                            <div class="afiliations">                                    Accepted Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">                                    <a 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                    <div><i>BIS Working Paper No. 452</i>                                    </div>                                                                    <div class="note note-list">                                                                                <span>Number of pages: 28</span>                                                                                                                    <span>Posted: 24 Jun 2014</span>                                                                                                            </div>                                                                                            <div class="afiliations">                                    Working Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">     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Discipline of Finance, University of Queensland - Faculty of Business, Economics and Law and University of Sydney Business School                                    </div>                                                                                                                                                                                                                        <div class="keywords">                                                                                                                                                    </div>                                                        </div>                                                                                    <div class="downloads">                                                                <span>Downloads</span>                                <span>  326</span>                                                        </div>                            </div>                                                                                                                                                                                                                                                                <div class="trow abs abs_3723237" id="div_3723237">                        <div class="actions">                            50.                                                                                                    <i class="icn icn-free"></i>                                                                                         </div>                            <div class="description">                                                                                                                        <h3>                                    <span><a                                            class="title optClickTitle" href="https://privpapers.ssrn.com/sol3/papers.cfm?abstract_id=3723237">Deep Learning for Conditional Asset Pricing Models</a>                                </span>                                </h3>                                                                                                                            <div class="note note-list">                                                                                <span>Number of pages: 55</span>                                                                                                                    <span>Posted: 27 Jan 2021</span>                                                                                                                    <span>Last Revised: 27 Feb 2021</span>                                                                        </div>                                                                                            <div class="afiliations">                                    Working Paper Series                                    </div>                                                                                                                                                                    <div class="authors-list">                                    <a href="https://privpapers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2531854" target="_blank">Hongyi Liu</a>                                    </div>                                    <div class="afiliations">                                    Washington University in St. Louis - Department of Economics                                    </div>                                                                                                                                                                                                                        <div class="keywords">                                                                                                                                                    </div>                                                        </div>                                                                                    <div class="downloads">                                                                <span>Downloads</span>                                <span>  317</span>                                                        </div>                            </div>                                        </div>                    </div>                                            <div class="results-footer">                                <div class="pagination"><ul>  <li class="curr"><strong>1</strong></li><li><a href="/sol3/JELJOUR_Results.cfm?npage=2&form_name=Jel&code=C38&lim=false" class="jeljour_pagination_number" role="button" tabindex="0">2</a></li><li><a href="/sol3/JELJOUR_Results.cfm?npage=3&form_name=Jel&code=C38&lim=false" class="jeljour_pagination_number" role="button" tabindex="0">3</a></li><li><a href="/sol3/JELJOUR_Results.cfm?npage=4&form_name=Jel&code=C38&lim=false" class="jeljour_pagination_number" role="button" tabindex="0">4</a></li><li>...</li><li><a href="/sol3/JELJOUR_Results.cfm?npage=11&form_name=Jel&code=C38&lim=false" class="jeljour_pagination_number" role="button" tabindex="0">11</a></li><li class="next"><a href="/sol3/JELJOUR_Results.cfm?npage=2&form_name=Jel&code=C38&lim=false" role="button" tabindex="0">Next</a></li><li class="total">11</li></ul><div class="go-to-page input-group form-group" onkeypress="return isNumberKey(event)"><input type="text" aria-label="Go to page" placeholder="Go to page" role="input"><button onclick="gotoPage(11,this.parentNode);" aria-label="Go" role="button"><i class="icon-gizmo-navigate-right" aria-hidden="true"></i></button></div></div> <script type="text/javascript" language="javascript">function isNumberKey(evt) {var charCode = (evt.which) ? evt.which : event.keyCodeif (charCode > 31 && (charCode < 48 || charCode > 57)) {return false;}return true;}function gotoPage(totalPages,caller){var gotopage = caller.getElementsByTagName('input')[0].value;if (gotopage == "" || gotopage == null) {alert('The page number field cannot be empty.  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