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David Moreno, Sr.

Not to be confused with: David Moreno

Personal Details

First Name:David
Middle Name:
Last Name:Moreno
Suffix:Sr.
RePEc Short-ID:pmo268
http://www.uc3m.es/uc3m/dpto/EMP/profesor/idavid.htm
+34 - 91 6245794

Affiliation

Departamento de Economía de la Empresa
Universidad Carlos III de Madrid

Madrid, Spain
http://portal.uc3m.es/portal/page/portal/dpto_economia_empresa
RePEc:edi:dmuc3es (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Moreno, David & Rodríguez, Rosa, 2008. "The value of coskewness in evaluating mutual funds," DEE - Working Papers. Business Economics. WB wb087616, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
  2. David Moreno & David Nawrocki & Ignacio Olmeda, 2006. "A Genetic Algorithm for UPM/LPM Portfolios," Computing in Economics and Finance 2006 357, Society for Computational Economics.
  3. Mir Fernández, Carlos & Moreno, David & Olmeda, Ignacio, 2006. "Determinantes de la revelación de información sobre derivados financieros en el mercado español," DEE - Documentos de Trabajo. Economía de la Empresa. DB db060504, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
  4. Gil Bazo, Javier & Moreno Muñoz, Jesús David & Tapia, Mikel, 2005. "Price dynamics, informational efficiency and wealth distribution in continuous double auction markets," DEE - Working Papers. Business Economics. WB wb057819, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.

Articles

  1. David Moreno & Rosa Rodr�guez, 2013. "Optimal diversification across mutual funds," Applied Financial Economics, Taylor & Francis Journals, vol. 23(2), pages 119-122, January.
  2. Moreno, David & Rodríguez, Rosa, 2009. "The value of coskewness in mutual fund performance evaluation," Journal of Banking & Finance, Elsevier, vol. 33(9), pages 1664-1676, September.
  3. Moreno, David & Olmeda, Ignacio, 2007. "Is the predictability of emerging and developed stock markets really exploitable?," European Journal of Operational Research, Elsevier, vol. 182(1), pages 436-454, October.
  4. Moreno, David & Marco, Paulina & Olmeda, Ignacio, 2006. "Self-organizing maps could improve the classification of Spanish mutual funds," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1039-1054, October.
  5. David Moreno & Paulina Marco & Ignacio Olmeda, 2005. "Risk forecasting models and optimal portfolio selection," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1267-1281.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Gil Bazo, Javier & Moreno Muñoz, Jesús David & Tapia, Mikel, 2005. "Price dynamics, informational efficiency and wealth distribution in continuous double auction markets," DEE - Working Papers. Business Economics. WB wb057819, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.

    Cited by:

    1. Alessio Emanuele Biondo, 2018. "Order book microstructure and policies for financial stability," Studies in Economics and Finance, Emerald Group Publishing, vol. 35(1), pages 196-218, March.
    2. Alessio Emanuele Biondo, 2019. "Order book modeling and financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 469-489, September.
    3. Biondo, Alessio Emanuele, 2017. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics Discussion Papers 2017-104, Kiel Institute for the World Economy (IfW Kiel).
    4. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Post-Print halshs-01215947, HAL.
    5. Liu, Yi-Fang & Zhang, Wei & Xu, Chao & Vitting Andersen, Jørgen & Xu, Hai-Chuan, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 204-215.
    6. Wei, Lijian & Zhang, Wei & Xiong, Xiong & Shi, Lei, 2015. "Position limit for the CSI 300 stock index futures market," Economic Systems, Elsevier, vol. 39(3), pages 369-389.
    7. Lijian Wei & Wei Zhang & Xue-Zhong He & Yongjie Zhang, 2013. "Learning and Information Dissemination in Limit Order Markets," Research Paper Series 333, Quantitative Finance Research Centre, University of Technology, Sydney.
    8. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Post-Print halshs-00983051, HAL.
    9. Chiarella, Carl & Iori, Giulia, 2009. "The impact of heterogeneous trading rules on the limit order book and order flows," Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 525-537.
    10. Yi-Fang Liu & Wei Zhang & Chao Xu & J{o}rgen Vitting Andersen & Hai-Chuan Xu, 2013. "Impact of information cost and switching of trading strategies in an artificial stock market," Papers 1311.4274, arXiv.org, revised Jul 2014.
    11. Biondo, Alessio Emanuele, 2018. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-21.
    12. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00983051, HAL.
    13. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01215947, HAL.
    14. Lijian Wei & Xiong Xiong & Wei Zhang & Xue-Zhong He & Yongjie Zhang, 2017. "The effect of genetic algorithm learning with a classifier system in limit order markets," Published Paper Series 2017-3, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    15. Lijian Wei & Wei Zhang & Xiong Xiong & Lei Shi, 2014. "Position-Limit Design for the CSI 300 Futures Markets," Research Paper Series 349, Quantitative Finance Research Centre, University of Technology, Sydney.
    16. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Documents de travail du Centre d'Economie de la Sorbonne 14031, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.

Articles

  1. David Moreno & Rosa Rodr�guez, 2013. "Optimal diversification across mutual funds," Applied Financial Economics, Taylor & Francis Journals, vol. 23(2), pages 119-122, January.

    Cited by:

    1. Argimiro Arratia & Henryk Gzyl & Silvia Mayoral, 2022. "Tracking a Well Diversified Portfolio with Maximum Entropy in the Mean," Mathematics, MDPI, vol. 10(4), pages 1-14, February.
    2. Andreu, Laura & Gimeno, Ruth & Ortiz, Cristina, 2022. "Diversification and manager autonomy in fund families: Implications for investors," Research in International Business and Finance, Elsevier, vol. 60(C).

  2. Moreno, David & Rodríguez, Rosa, 2009. "The value of coskewness in mutual fund performance evaluation," Journal of Banking & Finance, Elsevier, vol. 33(9), pages 1664-1676, September.

    Cited by:

    1. Ammann, Manuel & Kind, Axel & Seiz, Ralf, 2010. "What drives the performance of convertible-bond funds?," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2600-2613, November.
    2. Eling, Martin & Faust, Roger, 2010. "The performance of hedge funds and mutual funds in emerging markets," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1993-2009, August.
    3. Rui Pedro Brito & Hélder Sebastião & Pedro Godinho, 2016. "Efficient skewness/semivariance portfolios," Journal of Asset Management, Palgrave Macmillan, vol. 17(5), pages 331-346, September.
    4. Toan Huynh Luu Duc & Sang Phu Nguyen, 2018. "Higher co-moments and asset pricing on emerging stock markets by quantile regression approach," Business and Economic Horizons (BEH), Prague Development Center, vol. 14(1), pages 132-142, January.
    5. Vendrame, Vasco & Tucker, Jon & Guermat, Cherif, 2016. "Some extensions of the CAPM for individual assets," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 78-85.
    6. Johan Knif & Dimitrios Koutmos & Gregory Koutmos, 2020. "Higher Co-Moment CAPM and Hedge Fund Returns," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(1), pages 99-113, March.
    7. Huang, Wei & Liu, Qianqiu & Ghon Rhee, S. & Wu, Feng, 2012. "Extreme downside risk and expected stock returns," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1492-1502.
    8. Jiang, Chonghui & Ma, Yongkai & An, Yunbi, 2016. "Portfolio selection with a systematic skewness constraint," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 393-405.
    9. Mateus, Irina B. & Mateus, Cesario & Todorovic, Natasa, 2019. "Review of new trends in the literature on factor models and mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 344-354.
    10. Wattanatorn, Woraphon & Padungsaksawasdi, Chaiyuth, 2020. "Coskewness timing ability in the mutual fund industry," Research in International Business and Finance, Elsevier, vol. 53(C).
    11. Potì, Valerio & Wang, DengLi, 2010. "The coskewness puzzle," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1827-1838, August.
    12. Wattanatorn, Woraphon & Padungsaksawasdi, Chaiyuth & Chunhachinda, Pornchai & Nathaphan, Sarayut, 2020. "Mutual fund liquidity timing ability in the higher moment framework," Research in International Business and Finance, Elsevier, vol. 51(C).
    13. Kostakis, Alexandros & Muhammad, Kashif & Siganos, Antonios, 2012. "Higher co-moments and asset pricing on London Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 913-922.
    14. Sonal Babbar & Sanjay Sehgal, 2018. "Mutual Fund Characteristics and Investment Performance in India," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 43(1-2), pages 1-30, February.
    15. Petros Messis & Achilleas Zapranis, 2014. "Herding behaviour and volatility in the Athens Stock Exchange," Journal of Risk Finance, Emerald Group Publishing, vol. 15(5), pages 572-590, November.
    16. Mamatzakis, E & Babalos, Vassilios & filipas, n, 2013. "Fund Performance Evaluation in Greece Revisited: Evidence from the Impact of Operational Attributes," MPRA Paper 51640, University Library of Munich, Germany.
    17. Högholm, Kenneth & Knif, Johan & Koutmos, Gregory & Pynnönen, Seppo, 2011. "Distributional asymmetry of loadings on market co-moments," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(5), pages 851-866.
    18. Suresh Nallareddy & Maria Ogneva, 2017. "Accrual quality, skill, and the cross-section of mutual fund returns," Review of Accounting Studies, Springer, vol. 22(2), pages 503-542, June.

  3. Moreno, David & Olmeda, Ignacio, 2007. "Is the predictability of emerging and developed stock markets really exploitable?," European Journal of Operational Research, Elsevier, vol. 182(1), pages 436-454, October.

    Cited by:

    1. Ma, T. & Fraser-Mackenzie, P.A.F. & Sung, M. & Kansara, A.P. & Johnson, J.E.V., 2022. "Are the least successful traders those most likely to exit the market? A survival analysis contribution to the efficient market debate," European Journal of Operational Research, Elsevier, vol. 299(1), pages 330-345.
    2. Doyle, John R. & Chen, Catherine H., 2013. "Patterns in stock market movements tested as random number generators," European Journal of Operational Research, Elsevier, vol. 227(1), pages 122-132.
    3. Carroll, Rachael & Conlon, Thomas & Cotter, John & Salvador, Enrique, 2017. "Asset allocation with correlation: A composite trade-off," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1164-1180.
    4. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas Pérez-Iñigo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi, November.
    5. Lioui, Abraham & Poncet, Patrice, 2019. "Long horizon predictability: An asset allocation perspective," European Journal of Operational Research, Elsevier, vol. 278(3), pages 961-975.
    6. Conlon, Thomas & Cotter, John & Gençay, Ramazan, 2018. "Long-run wavelet-based correlation for financial time series," European Journal of Operational Research, Elsevier, vol. 271(2), pages 676-696.
    7. Yang, Jian & Cabrera, Juan & Wang, Tao, 2010. "Nonlinearity, data-snooping, and stock index ETF return predictability," European Journal of Operational Research, Elsevier, vol. 200(2), pages 498-507, January.
    8. Juan Benjamín Duarte Duarte & Juan Manuel Mascareñas Pérez-Iñigo, 2014. "¿Han sido los mercados bursátiles eficientes informacionalmente?," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, June.
    9. Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2016. "Can commodity returns forecast Canadian sector stock returns?," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 172-188.
    10. Esther Calderon-Monge & Ivan Pastor-Sanz, 2017. "Effects of Contract and Trust on Franchisor Performance," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 11(4), December.
    11. Strobel, Marcus & Auer, Benjamin R., 2018. "Does the predictive power of variable moving average rules vanish over time and can we explain such tendencies?," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 168-184.
    12. Bianchi, Daniele & Guidolin, Massimo, 2014. "Can long-run dynamic optimal strategies outperform fixed-mix portfolios? Evidence from multiple data sets," European Journal of Operational Research, Elsevier, vol. 236(1), pages 160-176.

  4. Moreno, David & Marco, Paulina & Olmeda, Ignacio, 2006. "Self-organizing maps could improve the classification of Spanish mutual funds," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1039-1054, October.

    Cited by:

    1. Javier Vidal-García & Marta Vidal & Sabri Boubaker & Riadh Manita, 2019. "Idiosyncratic risk and mutual fund performance," Annals of Operations Research, Springer, vol. 281(1), pages 349-372, October.
    2. Victor DeMiguel & Javier Gil-Bazo & Francisco J. Nogales & André A. P. Santos, 2021. "Can machine learning help to select portfolios of mutual funds?," Economics Working Papers 1772, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Mostafa, Mohamed M. & El-Masry, Ahmed A., 2013. "Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques," International Journal of Information Management, Elsevier, vol. 33(4), pages 627-641.
    4. Vipul Satone & Dhruv Desai & Dhagash Mehta, 2021. "Fund2Vec: Mutual Funds Similarity using Graph Learning," Papers 2106.12987, arXiv.org.
    5. Dhagash Mehta & Dhruv Desai & Jithin Pradeep, 2020. "Machine Learning Fund Categorizations," Papers 2006.00123, arXiv.org.
    6. Mostafa, Mohamed M. & Nataraajan, Rajan, 2009. "A neuro-computational intelligence analysis of the ecological footprint of nations," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3516-3531, July.
    7. Félix J. López-Iturriaga & Iván Pastor Sanz, 2018. "Predicting Public Corruption with Neural Networks: An Analysis of Spanish Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(3), pages 975-998, December.
    8. Laura Fabregat-Aibar & Maria-Teresa Sorrosal-Forradellas & Glòria Barberà-Mariné & Antonio Terceño, 2021. "Can Artificial Neural Networks Predict the Survival Capacity of Mutual Funds? Evidence from Spain," Mathematics, MDPI, vol. 9(6), pages 1-10, March.
    9. Francesco Lisi, 2011. "Dicing with the market: randomized procedures for evaluation of mutual funds," Quantitative Finance, Taylor & Francis Journals, vol. 11(2), pages 163-172.
    10. Stavrou, Eleni T. & Charalambous, Christakis & Spiliotis, Stelios, 2007. "Human resource management and performance: A neural network analysis," European Journal of Operational Research, Elsevier, vol. 181(1), pages 453-467, August.
    11. Emmanuel Jurczenko & Bertrand Maillet & Paul Merlin, 2008. "Efficient Frontier for Robust Higher-order Moment Portfolio Selection," Post-Print halshs-00336475, HAL.
    12. Dimitrios Vamvourellis & Mate Attila Toth & Dhruv Desai & Dhagash Mehta & Stefano Pasquali, 2022. "Learning Mutual Fund Categorization using Natural Language Processing," Papers 2207.04959, arXiv.org.

  5. David Moreno & Paulina Marco & Ignacio Olmeda, 2005. "Risk forecasting models and optimal portfolio selection," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1267-1281.

    Cited by:

    1. Pierre O. De souza & Tiago P. Filomena & João F. Caldeira & Denis Borenstein & Marcelo B. Righi, 2017. "Risk parity in the brazilian market," Economics Bulletin, AccessEcon, vol. 37(3), pages 1555-1566.
    2. Hung-Hsi Huang & David Jou, 2009. "Multiperiod dynamic investment for a generalized situation," Applied Financial Economics, Taylor & Francis Journals, vol. 19(21), pages 1761-1766.
    3. Tavakoli Baghdadabad, Mohammad Reza, 2014. "Average drawdown risk reduction and risk tolerances," Research in Economics, Elsevier, vol. 68(3), pages 264-276.
    4. Tee, Kai-Hong, 2009. "The effect of downside risk reduction on UK equity portfolios included with Managed Futures Funds," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 303-310, December.
    5. Dar-Hsin Chen & Chun-Da Chen & Jianguo Chen, 2009. "Downside risk measures and equity returns in the NYSE," Applied Economics, Taylor & Francis Journals, vol. 41(8), pages 1055-1070.
    6. Brianna Cain & Ralf Zurbruegg, 2010. "Can switching between risk measures lead to better portfolio optimization?," Journal of Asset Management, Palgrave Macmillan, vol. 10(6), pages 358-369, February.

More information

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Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-FMK: Financial Markets (1) 2006-01-24

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