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Javier Perote

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. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2020. "Modeling electricity price and quantity uncertainty: An application for hedging with forward contracts," Documentos de Trabajo de Valor Público 18186, Universidad EAFIT.

    Cited by:

    1. Inés Jiménez & Andrés Mora-Valencia & Javier Perote, 2022. "Dynamic selection of Gram–Charlier expansions with risk targets: an application to cryptocurrencies," Risk Management, Palgrave Macmillan, vol. 24(1), pages 81-99, March.
    2. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).

  2. Lina Cortés & Juan M. Lozada & Javier Perote, 2020. "Firm size and economic concentration: An analysis from lognormal expansion," Documentos de Trabajo de Valor Público 18185, Universidad EAFIT.

    Cited by:

    1. Shouji Fujimoto & Takayuki Mizuno & Atushi Ishikawa, 2022. "Interpolation of non-random missing values in financial statements’ big data using CatBoost," Journal of Computational Social Science, Springer, vol. 5(2), pages 1281-1301, November.

  3. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2019. "Uncertainty in Electricity Markets from a seminonparametric Approach," Documentos de Trabajo de Valor Público 17304, Universidad EAFIT.

    Cited by:

    1. Dong, Kangyin & Dong, Xiucheng & Ren, Xiaohang, 2020. "Can expanding natural gas infrastructure mitigate CO2 emissions? Analysis of heterogeneous and mediation effects for China," Energy Economics, Elsevier, vol. 90(C).
    2. Ioannidis, Filippos & Kosmidou, Kyriaki & Savva, Christos & Theodossiou, Panayiotis, 2021. "Electricity pricing using a periodic GARCH model with conditional skewness and kurtosis components," Energy Economics, Elsevier, vol. 95(C).
    3. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2020. "Modeling electricity price and quantity uncertainty: An application for hedging with forward contracts," Documentos de Trabajo de Valor Público 18186, Universidad EAFIT.
    4. Ludovic Gaudard & Franco Romerio, 2020. "A Conceptual Framework to Classify and Manage Risk, Uncertainty and Ambiguity: An Application to Energy Policy," Energies, MDPI, vol. 13(6), pages 1-22, March.
    5. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Semi-nonparametric risk assessment with cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 59(C).
    6. Rendón, Juan F. & Trespalacios, Alfredo & Cortés, Lina M. & Villada-Medina, Hernán D., 2021. "Modelización de la demanda de energía eléctrica: más allá de la normalidad || Electrical energy demand modeling: beyond normality," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 32(1), pages 83-98, December.
    7. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2019. "Modeling the electricity spot price with switching regime semi-nonparametric distributions," Documentos de Trabajo de Valor Público 17618, Universidad EAFIT.
    8. Inés Jiménez & Andrés Mora-Valencia & Javier Perote, 2022. "Dynamic selection of Gram–Charlier expansions with risk targets: an application to cryptocurrencies," Risk Management, Palgrave Macmillan, vol. 24(1), pages 81-99, March.
    9. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).

  4. Lina Cortés & Andrés Mora-Valencia & Javier Perote, 2017. "Measuring firm size distribution with semi-nonparametric densities," Documentos de Trabajo de Valor Público 15300, Universidad EAFIT.

    Cited by:

    1. Lina Cortés & Juan M. Lozada & Javier Perote, 2019. "Firm size and concentration inequality: A flexible extension of Gibrat’s law," Documentos de Trabajo de Valor Público 17205, Universidad EAFIT.
    2. Shouji Fujimoto & Takayuki Mizuno & Atushi Ishikawa, 2022. "Interpolation of non-random missing values in financial statements’ big data using CatBoost," Journal of Computational Social Science, Springer, vol. 5(2), pages 1281-1301, November.
    3. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2020. "Modeling electricity price and quantity uncertainty: An application for hedging with forward contracts," Documentos de Trabajo de Valor Público 18186, Universidad EAFIT.
    4. Lina M Cortés & Juan M Lozada & Javier Perote, 2021. "Firm size and economic concentration: An analysis from a lognormal expansion," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-21, July.
    5. Chamay Kruger & Willem Daniel Schutte & Tanja Verster, 2021. "Using Model Performance to Assess the Representativeness of Data for Model Development and Calibration in Financial Institutions," Risks, MDPI, vol. 9(11), pages 1-26, November.
    6. Arturo Ramos & Till Massing & Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno, 2024. "Mixtures of log-normal distributions in the mid-scale range of firm-size variables," Evolutionary and Institutional Economics Review, Springer, vol. 21(2), pages 249-260, September.
    7. Francesca Greselin & Fabio Piacenza & Ričardas Zitikis, 2019. "Practice Oriented and Monte Carlo Based Estimation of the Value-at-Risk for Operational Risk Measurement," Risks, MDPI, vol. 7(2), pages 1-20, May.
    8. Cortés, Lina M. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Retrieving the implicit risk neutral density of WTI options with a semi-nonparametric approach," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    9. Tomaschitz, Roman, 2020. "Multiply broken power-law densities as survival functions: An alternative to Pareto and lognormal fits," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    10. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2019. "Modeling the electricity spot price with switching regime semi-nonparametric distributions," Documentos de Trabajo de Valor Público 17618, Universidad EAFIT.
    11. Arturo Ramos & Till Massing & Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno, 2023. "Composite distributions in the social sciences: A comparative empirical study of firms' sales distribution for France, Germany, Italy, Japan, South Korea, and Spain," Papers 2301.09438, arXiv.org.
    12. Trespalacios, Alfredo & Cortés, Lina M. & Perote, Javier, 2020. "Uncertainty in electricity markets from a semi-nonparametric approach," Energy Policy, Elsevier, vol. 137(C).
    13. Lina M. Cortés & Javier Perote & Andrés Mora-Valencia, 2017. "Implicit probability distribution for WTI options: The Black Scholes vs. the semi-nonparametric approach," Documentos de Trabajo de Valor Público 15923, Universidad EAFIT.

  5. Lina M. Cortés & Javier Perote & Andrés Mora-Valencia, 2016. "The productivity of top researchers: A semi-nonparametric approach," Documentos de Trabajo de Valor Público 14437, Universidad EAFIT.

    Cited by:

    1. Lina Cortés & Juan M. Lozada & Javier Perote, 2019. "Firm size and concentration inequality: A flexible extension of Gibrat’s law," Documentos de Trabajo de Valor Público 17205, Universidad EAFIT.
    2. Lina Cortés & Andrés Mora-Valencia & Javier Perote, 2017. "Measuring firm size distribution with semi-nonparametric densities," Documentos de Trabajo de Valor Público 15300, Universidad EAFIT.
    3. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2020. "Modeling electricity price and quantity uncertainty: An application for hedging with forward contracts," Documentos de Trabajo de Valor Público 18186, Universidad EAFIT.
    4. Lina M Cortés & Juan M Lozada & Javier Perote, 2021. "Firm size and economic concentration: An analysis from a lognormal expansion," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-21, July.
    5. Cortés, Lina M. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Retrieving the implicit risk neutral density of WTI options with a semi-nonparametric approach," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    6. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2019. "Modeling the electricity spot price with switching regime semi-nonparametric distributions," Documentos de Trabajo de Valor Público 17618, Universidad EAFIT.
    7. Trespalacios, Alfredo & Cortés, Lina M. & Perote, Javier, 2020. "Uncertainty in electricity markets from a semi-nonparametric approach," Energy Policy, Elsevier, vol. 137(C).
    8. Lina M. Cortés & Javier Perote & Andrés Mora-Valencia, 2017. "Implicit probability distribution for WTI options: The Black Scholes vs. the semi-nonparametric approach," Documentos de Trabajo de Valor Público 15923, Universidad EAFIT.
    9. Marek Kwiek, 2018. "High research productivity in vertically undifferentiated higher education systems: Who are the top performers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 415-462, April.
    10. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).

  6. Trino-Manuel Ñíguez & Javier Perote, 2016. "Multivariate moments expansion density: application of the dynamic equicorrelation model," Working Papers 1602, Banco de España.

    Cited by:

    1. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2020. "Modeling electricity price and quantity uncertainty: An application for hedging with forward contracts," Documentos de Trabajo de Valor Público 18186, Universidad EAFIT.
    2. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.
    3. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Larkin, Charles & Lucey, Brian & Oxley, Les, 2022. "Cryptocurrency liquidity and volatility interrelationships during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 45(C).
    4. Ñíguez, Trino-Manuel & Perote, Javier, 2017. "Moments expansion densities for quantifying financial risk," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 53-69.
    5. Corbet, Shaen & Cumming, Douglas J. & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "Have crisis-induced banking supports influenced European bank performance, resilience and price discovery?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    6. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "The influence of the COVID-19 pandemic on the hedging functionality of Chinese financial markets," Research in International Business and Finance, Elsevier, vol. 59(C).
    7. León, Ángel & Ñíguez, Trino-Manuel, 2021. "The transformed Gram Charlier distribution: Parametric properties and financial risk applications," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 323-349.
    8. Conlon, Thomas & Corbet, Shaen & Goodell, John W. & Hou, Yang (Greg) & Oxley, Les, 2024. "Financial market information flows when counteracting rogue states: The indirect effects of targeted sanction packages," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 32-62.
    9. Markus Vogl, 2022. "Quantitative modelling frontiers: a literature review on the evolution in financial and risk modelling after the financial crisis (2008–2019)," SN Business & Economics, Springer, vol. 2(12), pages 1-69, December.
    10. Collings, David & Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Larkin, Charles & Oxley, Les, 2022. "The effects of negative reputational contagion on international airlines: The case of the Boeing 737-MAX disasters," International Review of Financial Analysis, Elsevier, vol. 80(C).
    11. Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2017. "Multivariate approximations to portfolio return distribution," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 347-361, September.
    12. Zaichao Du & Pei Pei, 2020. "Backtesting portfolio value‐at‐risk with estimated portfolio weights," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 605-619, September.
    13. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2024. "Bitcoin halving and the integration of cryptocurrency and forex markets: An analysis of the higher-order moment spillovers," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 302-315.
    14. Hou, Yang & Li, Steven & Wen, Fenghua, 2019. "Time-varying volatility spillover between Chinese fuel oil and stock index futures markets based on a DCC-GARCH model with a semi-nonparametric approach," Energy Economics, Elsevier, vol. 83(C), pages 119-143.
    15. Inés Jiménez & Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2020. "Portfolio Risk Assessment under Dynamic (Equi)Correlation and Semi-Nonparametric Estimation: An Application to Cryptocurrencies," Mathematics, MDPI, vol. 8(12), pages 1-24, November.
    16. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Risk quantification for commodity ETFs: Backtesting value-at-risk and expected shortfall," International Review of Financial Analysis, Elsevier, vol. 70(C).
    17. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).
    18. Cioroianu, Iulia & Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Larkin, Charles & Taffler, Richard, 2024. "Exploring the use of emotional sentiment to understanding market response to unexpected corporate pivots," Research in International Business and Finance, Elsevier, vol. 70(PA).

  7. Trino-Manuel Ñíguez & Ivan Paya & David Peel & Javier Perote, 2015. "Higher-order risk preferences, constant relative risk aversion and the optimal portfolio allocation," Working Papers 1520, Banco de España.

    Cited by:

    1. Ñíguez, Trino-Manuel & Perote, Javier, 2016. "Multivariate moments expansion density: Application of the dynamic equicorrelation model," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 216-232.
    2. Ñíguez, Trino-Manuel & Paya, Ivan & Peel, David, 2016. "Pure higher-order effects in the portfolio choice model," Finance Research Letters, Elsevier, vol. 19(C), pages 255-260.

  8. Trino-Manuel Niguez & Ivan Paya & David Peel & Javier Perote, 2013. "Higher-order moments in the theory of diversification and portfolio composition," Working Papers 18297128, Lancaster University Management School, Economics Department.

    Cited by:

    1. Lina Cortés & Juan M. Lozada & Javier Perote, 2019. "Firm size and concentration inequality: A flexible extension of Gibrat’s law," Documentos de Trabajo de Valor Público 17205, Universidad EAFIT.
    2. Lina Cortés & Andrés Mora-Valencia & Javier Perote, 2017. "Measuring firm size distribution with semi-nonparametric densities," Documentos de Trabajo de Valor Público 15300, Universidad EAFIT.
    3. Lina M Cortés & Juan M Lozada & Javier Perote, 2021. "Firm size and economic concentration: An analysis from a lognormal expansion," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-21, July.
    4. Lina M. Cortés & Andrés Mora-Valencia & Javier Perote, 2016. "The productivity of top researchers: a semi-nonparametric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 891-915, November.

  9. Javier Perote & Juan Perote-Peña & Marc Vorsatz, 2012. "Strategic behavior in regressions: an experimental," Working Papers 2012-07, FEDEA.

    Cited by:

    1. Nadezhda Gribkova & Ričardas Zitikis, 2018. "A User-Friendly Algorithm for Detecting the Influence of Background Risks on a Model," Risks, MDPI, vol. 6(3), pages 1-11, September.

  10. T M Niguez & I Paya & D Peel & J Perote, 2011. "On the stability of the CRRA utility under high degrees of uncertainty," Working Papers 615773, Lancaster University Management School, Economics Department.

    Cited by:

    1. Del Brio, Esther B. & Perote, Javier, 2012. "Gram–Charlier densities: Maximum likelihood versus the method of moments," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 531-537.

  11. Neugebauer, Tibor & Perote, Javier & Schmidt, Ulrich & Loos, Malte, 2007. "Selfish-biased conditional cooperation: On the decline of contributions in repeated public goods experiments," Kiel Working Papers 1376, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Lisa Bruttel & Werner Güth & Juri Nithammer & Andreas Orland, 2022. "Inefficient Cooperation Under Stochastic and Strategic Uncertainty," Journal of Conflict Resolution, Peace Science Society (International), vol. 66(4-5), pages 755-782, May.
    2. Raphaële Préget & Phu Nguyen Van & Marc Willinger, 2016. "Who are the voluntary leaders? Experimental evidence from a sequential contribution game," Post-Print hal-01300195, HAL.
    3. Andreas Diekmann & Wojtek Przepiorka & Heiko Rauhut, 2015. "Lifting the veil of ignorance: An experiment on the contagiousness of norm violations," Rationality and Society, , vol. 27(3), pages 309-333, August.
    4. Hongyu Guan & Xianchen Zhu & Ping Zhang, 2016. "Rule-Inequality-Aversion Preference and Conditional Cooperation in Public Goods Experiments: Economic Experiment Evidence from China," Group Decision and Negotiation, Springer, vol. 25(4), pages 799-825, July.
    5. Diederich, Johannes & Goeschl, Timo & Waichman, Israel, 2023. "Self-nudging is more ethical, but less efficient than social nudging," Working Papers 0726, University of Heidelberg, Department of Economics.
    6. Martin G. Kocher & Peter Martinsson & Kristian Ove R. Myrseth & Conny Wollbrant, 2012. "Strong, bold, and kind: Self-control and cooperation in social dilemmas," ESMT Research Working Papers ESMT-12-01 (R1), ESMT European School of Management and Technology, revised 28 Mar 2013.
    7. Fischbacher, Urs & Gächter, Simon, 2006. "Heterogeneous Social Preferences and the Dynamics of Free Riding in Public Goods," IZA Discussion Papers 2011, Institute of Labor Economics (IZA).
    8. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    9. Carlos Alós-Ferrer & Michele Garagnani, 2018. "The cognitive foundations of cooperation," ECON - Working Papers 303, Department of Economics - University of Zurich.
    10. Robert Böhm & Bettina Rockenbach, 2013. "The Inter-Group Comparison – Intra-Group Cooperation Hypothesis: Comparisons between Groups Increase Efficiency in Public Goods Provision," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-7, February.
    11. Cristina Bicchieri & Eugen Dimant & Simon Gächter & Daniele Nosenzo, 2020. "Observability, Social Proximity, and the Erosion of Norm Compliance," ECONtribute Discussion Papers Series 009, University of Bonn and University of Cologne, Germany.
    12. Alexia Gaudeul & Paolo Crosetto & Gerhard Riener, 2017. "Better stuck together or free to go? Of the stability of cooperation when individuals have outside options," Post-Print hal-01461165, HAL.
    13. Kölle, Felix & Gächter, Simon & Quercia, Simone, 2014. "The ABC of Cooperation in Voluntary Contribution and Common Pool Extraction Games," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100417, Verein für Socialpolitik / German Economic Association.
    14. Engel, Christoph & Zhurakhovska, Lilia, 2014. "Conditional cooperation with negative externalities – An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 108(C), pages 252-260.
    15. Martinsson, Peter & Persson, Emil, 2016. "Public Goods and Minimum Provision Levels: Does the institutional formation affect cooperation?," Working Papers in Economics 655, University of Gothenburg, Department of Economics.
    16. Chaudhuri, Ananish & Paichayontvijit, Tirnud & Smith, Alexander, 2017. "Belief heterogeneity and contributions decay among conditional cooperators in public goods games," Journal of Economic Psychology, Elsevier, vol. 58(C), pages 15-30.
    17. Jun Maekawa & Koji Shimada & Ai Takeuchi, 2022. "Sustainability of renewable energy investment motivations during a feed-in-tariff scheme transition: evidence from a laboratory experiment," The Japanese Economic Review, Springer, vol. 73(1), pages 83-101, January.
    18. Otto, Philipp E. & Bolle, Friedel, 2016. "The advantage of hierarchy: Inducing responsibility and selecting ability?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 49-57.
    19. Liu, Manwei & van der Heijden, Eline, 2019. "Majority rule or dictatorship? The role of collective-choice rules in resolving social dilemmas with endogenous institutions," Discussion Paper 2019-011, Tilburg University, Center for Economic Research.
    20. Simon Bartke & Steven J. Bosworth & Dennis J. Snower & Gabriele Chierchia, 2019. "Motives and comprehension in a public goods game with induced emotions," Theory and Decision, Springer, vol. 86(2), pages 205-238, March.
    21. Bault, Nadège & Fahrenfort, Johannes J. & Pelloux, Benjamin & Ridderinkhof, K. Richard & van Winden, Frans, 2017. "An affective social tie mechanism: Theory, evidence, and implications," Journal of Economic Psychology, Elsevier, vol. 61(C), pages 152-175.
    22. Ananish Chaudhuri, 2016. "Recent Advances in Experimental Studies of Social Dilemma Games," Games, MDPI, vol. 7(1), pages 1-11, February.
    23. Brekke, Kjell Arne & Hauge, Karen Evely & Lind, Jo Thori & Nyborg, Karine, 2009. "Playing with the Good Guys: A Public Good Game with Endogenous Group Formation," Memorandum 08/2009, Oslo University, Department of Economics.
    24. Andrej Angelovski & Tibor Neugebauer & Maroš Servatka, 2019. "Can Rank-Order Competition Resolve the Free-Rider Problem in the Voluntary Provision of Impure Public Goods? Experimental Evidence," Working Papers CESARE 1705, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    25. Dominique Cappelletti & Werner Güth & Matteo Ploner, 2011. "Unravelling conditional cooperation - Reciprocity, inequity aversion, and anchoring in public goods provision," Jena Economics Research Papers 2011-047, Friedrich-Schiller-University Jena.
    26. Bolle, Friedel & Breitmoser, Yves & Schlächter, Steffen, 2011. "Extortion in the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 207-218, May.
    27. Christoph Engel & Michael Kurschilgen, 2015. "The Jurisdiction of the Man Within – Introspection, Identity, and Cooperation in a Public Good Experiment," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2015_01, Max Planck Institute for Research on Collective Goods.
    28. Simon Gaechter & Benedikt Herrmann & Christian Thöni, 2010. "Culture and Cooperation," CESifo Working Paper Series 3070, CESifo.
      • Simon Gaechter & Benedikt Herrmann & Christian Thoeni, 2010. "Culture and Cooperation," Discussion Papers 2010-09, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    29. Urs Fischbacher & Simon Gachter, 2010. "Social Preferences, Beliefs, and the Dynamics of Free Riding in Public Goods Experiments," American Economic Review, American Economic Association, vol. 100(1), pages 541-556, March.
    30. Nikos Nikiforakis, 2008. "Feedback; Punishment and Cooperation in Public Good Experiments," Department of Economics - Working Papers Series 1036, The University of Melbourne.
    31. Jia Liu & Axel Sonntag & Daniel John Zizzo, 2019. "Information defaults in repeated public good provision," Discussion Papers Series 613, School of Economics, University of Queensland, Australia.
    32. Aaron Lowen & Pamela Schmitt, 2011. "Cooperation limitations under a one-time threat of expulsion and punishment," Departmental Working Papers 33, United States Naval Academy Department of Economics.
    33. Vincent Théroude & Adam Zylbersztejn, 2020. "Cooperation in a risky world," Post-Print halshs-02063246, HAL.
    34. Guillen, Pablo & Fatas, Enrique & Brañas-Garza, Pablo, 2010. "Inducing efficient conditional cooperation patterns in public goods games, an experimental investigation," Journal of Economic Psychology, Elsevier, vol. 31(6), pages 872-883, December.
    35. Barron, Kai & Nurminen, Tuomas, 2018. "Nudging cooperation," Discussion Papers, Research Unit: Economics of Change SP II 2018-305, WZB Berlin Social Science Center.
    36. Bernd Irlenbusch & Rainer Michael Rilke & Gari Walkowitz, 2018. "Designing Feedback in Voluntary Contribution Games - The Role of Transparency," WHU Working Paper Series - Economics Group 18-01, WHU - Otto Beisheim School of Management.
    37. Kristina Leipold & Nora C. Vetter & Marcus Dittrich & Marco Lehmann-Waffenschmidt & Matthias Kliegel, 2012. "Individual and Developmental Differences in the Relationship of Preferences and Theory of Mind," CESifo Working Paper Series 4053, CESifo.
    38. Engel, Christoph & Kurschilgen, Michael, 2020. "The Fragility of a Nudge: the power of self-set norms to contain a social dilemma," Journal of Economic Psychology, Elsevier, vol. 81(C).
    39. Iván Barreda Tarrazona & Aurora García-Gallego & Nikolaos Georgantzis & Nikolas Ziros, 2015. "Market games as social dilemmas," Working Papers 2015/10, Economics Department, Universitat Jaume I, Castellón (Spain).
    40. Lijia Tan & Lijia Wei, 2014. "Special Section: Experiments on Learning, Methods, and Voting," Pacific Economic Review, Wiley Blackwell, vol. 19(3), pages 313-331, August.
    41. Ganga Shreedhar, Alessandro Tavoni, Carmen Marchiori, 2018. "Monitoring and punishment networks in a common-pool resource dilemma: experimental evidence," GRI Working Papers 292, Grantham Research Institute on Climate Change and the Environment.
    42. Gustav Agneman & Paolo Falco & Exaud Joel & Onesmo Selejio, 2023. "The Material basis of Cooperation: how Scarcity Reduces Trusting Behaviour," The Economic Journal, Royal Economic Society, vol. 133(652), pages 1265-1285.
    43. Simon Gächter & Elke Renner, 2010. "The effects of (incentivized) belief elicitation in public goods experiments," Experimental Economics, Springer;Economic Science Association, vol. 13(3), pages 364-377, September.
    44. Jan Stoop & Charles N. Noussair & Daan van Soest, 2012. "From the Lab to the Field: Cooperation among Fishermen," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1027-1056.
    45. Eichenseer, Michael & Moser, Johannes, 2018. "Leadership in a Dynamic Public Goods Game: An Experimental Study," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181599, Verein für Socialpolitik / German Economic Association.
    46. Simon Gaechter & Kyeongtae Lee & Martin Sefton, 2020. "Risk, Temptation, and Efficiency in Prisoner's Dilemmas," Discussion Papers 2020-15, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    47. Amalia Rodrigo-González & María Caballer-Tarazona & Aurora García-Gallego, 2019. "Active Learning on Trust and Reciprocity for Undergraduates," Sustainability, MDPI, vol. 11(16), pages 1-22, August.
    48. M. Vittoria Levati & Ro’i Zultan, 2011. "Cycles of Conditional Cooperation in a Real-Time Voluntary Contribution Mechanism," Games, MDPI, vol. 2(1), pages 1-15, January.
    49. Vanessa Mertins & Wolfgang Hoffeld, 2015. "Do Overconfident Workers Cooperate Less? The Relationship Between Overconfidence and Cooperation in Team Production," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 36(4), pages 265-274, June.
    50. Barron, Kai & Nurminen, Tuomas, 2020. "Nudging cooperation in public goods provision," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 88(C).
    51. Danielle Kent, 2020. "Comparing alternative estimation methods of a public goods game," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 156-167, December.
    52. Weimann, Joachim & Brosig-Koch, Jeannette & Heinrich, Timo & Hennig-Schmidt, Heike & Keser, Claudia, 2022. "CO2 Emission reduction – Real public good provision by large groups in the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1076-1089.
    53. Vincent Théroude & Adam Zylbersztejn, 2017. "Cooperation in a risky world," Working Papers 1704, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    54. Susana Cabrera & Enrique Fatás & Juan Lacomba & Tibor Neugebauer, 2013. "Splitting leagues: promotion and demotion in contribution-based regrouping experiments," Experimental Economics, Springer;Economic Science Association, vol. 16(3), pages 426-441, September.
    55. Michał Krawczyk & Krzysztof Szczygielski, 2019. "Do professions curb free-riding? An experiment," European Journal of Law and Economics, Springer, vol. 47(3), pages 361-376, June.
    56. Takeuchi, Ai & Seki, Erika, 2023. "Coordination and free-riding problems in the provision of multiple public goods," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 95-121.
    57. Masaki Aoyagi & Guillaume R. Fréchette & Sevgi Yuksel, 2024. "Beliefs in Repeated Games: An Experiment," American Economic Review, American Economic Association, vol. 114(12), pages 3944-3975, December.
    58. Lisa Anderson & Beth Freeborn & Jason Hulbert, 2012. "Risk Aversion and Tacit Collusion in a Bertrand Duopoly Experiment," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 40(1), pages 37-50, February.
    59. Simon Gaechter & Elke Renner, 2014. "Leaders as Role Models for the Voluntary Provision of Public Goods," CESifo Working Paper Series 5049, CESifo.
    60. Arlegi, Ritxar & Dimitrov, Dinko, 2016. "Power set extensions of dichotomous preferences," Mathematical Social Sciences, Elsevier, vol. 83(C), pages 20-29.
    61. Urs Fischbacher & Simon Gaechter, 2008. "Heterogeneous Social Preferences And The Dynamics Of Free Riding In Public Good Experiments," Discussion Papers 2008-07, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    62. Tibor Neugebauer & Maroš Servátka, 2010. "Does Competition Resolve the Free-Rider Problem in the Voluntary Provision of Impure Public Goods? Experimental Evidence," Working Papers in Economics 10/07, University of Canterbury, Department of Economics and Finance.
    63. Spiller, Jörg & Ufert, Aneta & Vetter, Patrick & Will, Ulrike, 2016. "Norms in an asymmetric Public Good experiment," Economics Letters, Elsevier, vol. 142(C), pages 35-44.
    64. Anastasia G Peshkovskaya & Tatiana S Babkina & Mikhail G Myagkov & Ivan A Kulikov & Ksenia V Ekshova & Kyle Harriff, 2017. "The socialization effect on decision making in the Prisoner's Dilemma game: An eye-tracking study," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-15, April.
    65. Florian Artinger & Filippos Exadaktylos & Hannes Koppel & Lauri Sääksvuori, 2010. "Applying Quadratic Scoring Rule transparently in multiple choice settings: A note," ThE Papers 10/01, Department of Economic Theory and Economic History of the University of Granada..
    66. David M. McEvoy & Tobias Haller & Esther Blanco, 2019. "The Role of Non-Binding Pledges in Social Dilemmas with Mitigation and Adaptation," Working Papers 2019-04, Faculty of Economics and Statistics, Universität Innsbruck.
    67. Sonntag, Axel & Zizzo, Daniel John, 2019. "Personal accountability and cooperation in teams," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 428-448.
    68. Marco A Janssen & Allen Lee & Hari Sundaram, 2016. "Stimulating Contributions to Public Goods through Information Feedback: Some Experimental Results," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-16, July.
    69. Sonntag, Axel & Zizzo, Daniel John, 2017. "Accountability one step removed," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168235, Verein für Socialpolitik / German Economic Association.
    70. Vesely, Stepan & Wengström, Erik, 2017. "Risk and Cooperation: Experimental Evidence from Stochastic Public Good Games," Working Papers 2017:3, Lund University, Department of Economics.
    71. Fredrik Carlsson & Claes Ek & Andreas Lange, 2024. "One bad apple spoils the barrel? Public good provision under threshold uncertainty," Experimental Economics, Springer;Economic Science Association, vol. 27(3), pages 664-686, July.
    72. Fijnanda van Klingeren, 2020. "Playing nice in the sandbox: On the role of heterogeneity, trust and cooperation in common-pool resources," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-36, August.
    73. Jörg Spiller & Friedel Bolle, 2013. "Inter-Generational Thoughtfulness in a Dynamic Public Good Experiment," Discussion Paper Series RECAP15 008, RECAP15, European University Viadrina, Frankfurt (Oder).
    74. Alexander Smith, 2012. "Comment on social preferences, beliefs, and the dynamics of free riding in public good experiments," Economics Bulletin, AccessEcon, vol. 32(1), pages 923-931.
    75. Vanessa Mertins & Andrea B Schote & Wolfgang Hoffeld & Michele Griessmair & Jobst Meyer, 2011. "Genetic Susceptibility for Individual Cooperation Preferences: The Role of Monoamine Oxidase A Gene (MAOA) in the Voluntary Provision of Public Goods," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-9, June.
    76. Angelovski, Andrej & Di Cagno, Daniela & Güth, Werner & Marazzi, Francesca & Panaccione, Luca, 2018. "Does heterogeneity spoil the basket? The role of productivity and feedback information on public good provision," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 77(C), pages 40-49.
    77. Alexander Smith, 2013. "Estimating the causal effect of beliefs on contributions in repeated public good games," Experimental Economics, Springer;Economic Science Association, vol. 16(3), pages 414-425, September.
    78. Croson, Rachel & Fatas, Enrique & Neugebauer, Tibor & Morales, Antonio J., 2015. "Excludability: A laboratory study on forced ranking in team production," Journal of Economic Behavior & Organization, Elsevier, vol. 114(C), pages 13-26.
    79. Kok, Lucille & Oosterbaan, Veerle & Stoker, Hester & Vyrastekova, Jana, 2020. "In-group favouritism and social norms: Public goods experiments in Tanzania," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 85(C).
    80. Carlos E. Jijena Michel & Javier Perote & José D. Vicente-Lorente, 2018. "Efficiency and Sustainability in Teamwork: The Role of Entry Costs," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    81. Ananish Chaudhuri, 2018. "Belief Heterogeneity and the Restart Effect in a Public Goods Game," Games, MDPI, vol. 9(4), pages 1-20, November.
    82. Fengwei Sun & Xiaoxiao Wang & Quanlan Yi & Mengliang Wu, 2015. "Does Culture Matter to Pro-Social Behavior? Evidence from a Cross-Ethnic Lab Experiment," Journal of Economics and Behavioral Studies, AMH International, vol. 7(6), pages 94-110.
    83. Kreitmair, Ursula & Bower-Bir, Jacob, 2021. "Too different to solve climate change? Experimental evidence on the effects of production and benefit heterogeneity on collective action," Ecological Economics, Elsevier, vol. 184(C).
    84. Alexander Smith, 2015. "Modeling the dynamics of contributions and beliefs in repeated public good games," Economics Bulletin, AccessEcon, vol. 35(3), pages 1501-1509.
    85. Kurt A. Ackermann & Ryan O. Murphy, 2019. "Explaining Cooperative Behavior in Public Goods Games: How Preferences and Beliefs Affect Contribution Levels," Games, MDPI, vol. 10(1), pages 1-34, March.
    86. Charles FIGUIERES & Marc WILLINGER & David MASCLET, 2009. "Weak moral motivation leads to the decline of voluntary contributions," Working Papers 09-09, LAMETA, Universtiy of Montpellier, revised Aug 2009.
    87. Tibor Neugebauer & Sascha F llbrunn, 2013. "Varying the number of bidders in the first-price sealed-bid auction: experimental evidence for the one-shot game," LSF Research Working Paper Series 13-10, Luxembourg School of Finance, University of Luxembourg.
    88. Bernd Irlenbusch & Rainer Michael Rilke, 2013. "(Public) Good Examples - On the Role of Limited Feedback in Voluntary Contribution Games," Cologne Graduate School Working Paper Series 04-04, Cologne Graduate School in Management, Economics and Social Sciences.
    89. Bernd Irlenbusch & Janna Ter Meer, 2015. "Lying in public good games with and without punishment," Cologne Graduate School Working Paper Series 06-02, Cologne Graduate School in Management, Economics and Social Sciences.
    90. Bernd Irlenbusch & Janna Ter Meer, 2012. "Fooling the Nice Guys: The effect of lying about contributions on public good provision and punishment," Cologne Graduate School Working Paper Series 03-11, Cologne Graduate School in Management, Economics and Social Sciences.
    91. Jordi Brandts & Christina Rott & Carles Solà, 2016. "Not just like starting over - Leadership and revivification of cooperation in groups," Experimental Economics, Springer;Economic Science Association, vol. 19(4), pages 792-818, December.
    92. Liu, Manwei & van der Heijden, Eline, 2019. "Majority rule or dictatorship? The role of collective-choice rules in resolving social dilemmas with endogenous institutions," Other publications TiSEM 78b5d351-486e-425d-a070-2, Tilburg University, School of Economics and Management.
    93. Nisvan Erkal & Boon Han Koh & Nguyen Lam, 2023. "Using Milestones as a Source of Feedback in Teamwork: Insights from a Dynamic Voluntary Contribution Mechanism," Discussion Papers 2310, University of Exeter, Department of Economics.
    94. Dorner, Zack & Tucker, Steven & Hassan, Gazi M, 2024. "Heterogeneous productivity stabilizes public good contributions under certainty, uncertainty and ambiguity," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 110(C).
    95. Robin Watson & Thomas J. H. Morgan & Rachel L. Kendal & Julie Van de Vyver & Jeremy Kendal, 2021. "Social Learning Strategies and Cooperative Behaviour: Evidence of Payoff Bias, but Not Prestige or Conformity, in a Social Dilemma Game," Games, MDPI, vol. 12(4), pages 1-26, November.
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    2. Raphaële Préget & Phu Nguyen Van & Marc Willinger, 2016. "Who are the voluntary leaders? Experimental evidence from a sequential contribution game," Post-Print hal-01300195, HAL.
    3. Andreas Diekmann & Wojtek Przepiorka & Heiko Rauhut, 2015. "Lifting the veil of ignorance: An experiment on the contagiousness of norm violations," Rationality and Society, , vol. 27(3), pages 309-333, August.
    4. Hongyu Guan & Xianchen Zhu & Ping Zhang, 2016. "Rule-Inequality-Aversion Preference and Conditional Cooperation in Public Goods Experiments: Economic Experiment Evidence from China," Group Decision and Negotiation, Springer, vol. 25(4), pages 799-825, July.
    5. Diederich, Johannes & Goeschl, Timo & Waichman, Israel, 2023. "Self-nudging is more ethical, but less efficient than social nudging," Working Papers 0726, University of Heidelberg, Department of Economics.
    6. Martin G. Kocher & Peter Martinsson & Kristian Ove R. Myrseth & Conny Wollbrant, 2012. "Strong, bold, and kind: Self-control and cooperation in social dilemmas," ESMT Research Working Papers ESMT-12-01 (R1), ESMT European School of Management and Technology, revised 28 Mar 2013.
    7. Fischbacher, Urs & Gächter, Simon, 2006. "Heterogeneous Social Preferences and the Dynamics of Free Riding in Public Goods," IZA Discussion Papers 2011, Institute of Labor Economics (IZA).
    8. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    9. Carlos Alós-Ferrer & Michele Garagnani, 2018. "The cognitive foundations of cooperation," ECON - Working Papers 303, Department of Economics - University of Zurich.
    10. Robert Böhm & Bettina Rockenbach, 2013. "The Inter-Group Comparison – Intra-Group Cooperation Hypothesis: Comparisons between Groups Increase Efficiency in Public Goods Provision," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-7, February.
    11. Cristina Bicchieri & Eugen Dimant & Simon Gächter & Daniele Nosenzo, 2020. "Observability, Social Proximity, and the Erosion of Norm Compliance," ECONtribute Discussion Papers Series 009, University of Bonn and University of Cologne, Germany.
    12. Alexia Gaudeul & Paolo Crosetto & Gerhard Riener, 2017. "Better stuck together or free to go? Of the stability of cooperation when individuals have outside options," Post-Print hal-01461165, HAL.
    13. Kölle, Felix & Gächter, Simon & Quercia, Simone, 2014. "The ABC of Cooperation in Voluntary Contribution and Common Pool Extraction Games," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100417, Verein für Socialpolitik / German Economic Association.
    14. Engel, Christoph & Zhurakhovska, Lilia, 2014. "Conditional cooperation with negative externalities – An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 108(C), pages 252-260.
    15. Martinsson, Peter & Persson, Emil, 2016. "Public Goods and Minimum Provision Levels: Does the institutional formation affect cooperation?," Working Papers in Economics 655, University of Gothenburg, Department of Economics.
    16. Chaudhuri, Ananish & Paichayontvijit, Tirnud & Smith, Alexander, 2017. "Belief heterogeneity and contributions decay among conditional cooperators in public goods games," Journal of Economic Psychology, Elsevier, vol. 58(C), pages 15-30.
    17. Jun Maekawa & Koji Shimada & Ai Takeuchi, 2022. "Sustainability of renewable energy investment motivations during a feed-in-tariff scheme transition: evidence from a laboratory experiment," The Japanese Economic Review, Springer, vol. 73(1), pages 83-101, January.
    18. Otto, Philipp E. & Bolle, Friedel, 2016. "The advantage of hierarchy: Inducing responsibility and selecting ability?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 49-57.
    19. Liu, Manwei & van der Heijden, Eline, 2019. "Majority rule or dictatorship? The role of collective-choice rules in resolving social dilemmas with endogenous institutions," Discussion Paper 2019-011, Tilburg University, Center for Economic Research.
    20. Simon Bartke & Steven J. Bosworth & Dennis J. Snower & Gabriele Chierchia, 2019. "Motives and comprehension in a public goods game with induced emotions," Theory and Decision, Springer, vol. 86(2), pages 205-238, March.
    21. Bault, Nadège & Fahrenfort, Johannes J. & Pelloux, Benjamin & Ridderinkhof, K. Richard & van Winden, Frans, 2017. "An affective social tie mechanism: Theory, evidence, and implications," Journal of Economic Psychology, Elsevier, vol. 61(C), pages 152-175.
    22. Ananish Chaudhuri, 2016. "Recent Advances in Experimental Studies of Social Dilemma Games," Games, MDPI, vol. 7(1), pages 1-11, February.
    23. Brekke, Kjell Arne & Hauge, Karen Evely & Lind, Jo Thori & Nyborg, Karine, 2009. "Playing with the Good Guys: A Public Good Game with Endogenous Group Formation," Memorandum 08/2009, Oslo University, Department of Economics.
    24. Andrej Angelovski & Tibor Neugebauer & Maroš Servatka, 2019. "Can Rank-Order Competition Resolve the Free-Rider Problem in the Voluntary Provision of Impure Public Goods? Experimental Evidence," Working Papers CESARE 1705, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    25. Dominique Cappelletti & Werner Güth & Matteo Ploner, 2011. "Unravelling conditional cooperation - Reciprocity, inequity aversion, and anchoring in public goods provision," Jena Economics Research Papers 2011-047, Friedrich-Schiller-University Jena.
    26. Bolle, Friedel & Breitmoser, Yves & Schlächter, Steffen, 2011. "Extortion in the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 207-218, May.
    27. Christoph Engel & Michael Kurschilgen, 2015. "The Jurisdiction of the Man Within – Introspection, Identity, and Cooperation in a Public Good Experiment," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2015_01, Max Planck Institute for Research on Collective Goods.
    28. Simon Gaechter & Benedikt Herrmann & Christian Thöni, 2010. "Culture and Cooperation," CESifo Working Paper Series 3070, CESifo.
      • Simon Gaechter & Benedikt Herrmann & Christian Thoeni, 2010. "Culture and Cooperation," Discussion Papers 2010-09, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    29. Urs Fischbacher & Simon Gachter, 2010. "Social Preferences, Beliefs, and the Dynamics of Free Riding in Public Goods Experiments," American Economic Review, American Economic Association, vol. 100(1), pages 541-556, March.
    30. Nikos Nikiforakis, 2008. "Feedback; Punishment and Cooperation in Public Good Experiments," Department of Economics - Working Papers Series 1036, The University of Melbourne.
    31. Jia Liu & Axel Sonntag & Daniel John Zizzo, 2019. "Information defaults in repeated public good provision," Discussion Papers Series 613, School of Economics, University of Queensland, Australia.
    32. Aaron Lowen & Pamela Schmitt, 2011. "Cooperation limitations under a one-time threat of expulsion and punishment," Departmental Working Papers 33, United States Naval Academy Department of Economics.
    33. Vincent Théroude & Adam Zylbersztejn, 2020. "Cooperation in a risky world," Post-Print halshs-02063246, HAL.
    34. Guillen, Pablo & Fatas, Enrique & Brañas-Garza, Pablo, 2010. "Inducing efficient conditional cooperation patterns in public goods games, an experimental investigation," Journal of Economic Psychology, Elsevier, vol. 31(6), pages 872-883, December.
    35. Barron, Kai & Nurminen, Tuomas, 2018. "Nudging cooperation," Discussion Papers, Research Unit: Economics of Change SP II 2018-305, WZB Berlin Social Science Center.
    36. Bernd Irlenbusch & Rainer Michael Rilke & Gari Walkowitz, 2018. "Designing Feedback in Voluntary Contribution Games - The Role of Transparency," WHU Working Paper Series - Economics Group 18-01, WHU - Otto Beisheim School of Management.
    37. Kristina Leipold & Nora C. Vetter & Marcus Dittrich & Marco Lehmann-Waffenschmidt & Matthias Kliegel, 2012. "Individual and Developmental Differences in the Relationship of Preferences and Theory of Mind," CESifo Working Paper Series 4053, CESifo.
    38. Engel, Christoph & Kurschilgen, Michael, 2020. "The Fragility of a Nudge: the power of self-set norms to contain a social dilemma," Journal of Economic Psychology, Elsevier, vol. 81(C).
    39. Iván Barreda Tarrazona & Aurora García-Gallego & Nikolaos Georgantzis & Nikolas Ziros, 2015. "Market games as social dilemmas," Working Papers 2015/10, Economics Department, Universitat Jaume I, Castellón (Spain).
    40. Lijia Tan & Lijia Wei, 2014. "Special Section: Experiments on Learning, Methods, and Voting," Pacific Economic Review, Wiley Blackwell, vol. 19(3), pages 313-331, August.
    41. Ganga Shreedhar, Alessandro Tavoni, Carmen Marchiori, 2018. "Monitoring and punishment networks in a common-pool resource dilemma: experimental evidence," GRI Working Papers 292, Grantham Research Institute on Climate Change and the Environment.
    42. Gustav Agneman & Paolo Falco & Exaud Joel & Onesmo Selejio, 2023. "The Material basis of Cooperation: how Scarcity Reduces Trusting Behaviour," The Economic Journal, Royal Economic Society, vol. 133(652), pages 1265-1285.
    43. Simon Gächter & Elke Renner, 2010. "The effects of (incentivized) belief elicitation in public goods experiments," Experimental Economics, Springer;Economic Science Association, vol. 13(3), pages 364-377, September.
    44. Jan Stoop & Charles N. Noussair & Daan van Soest, 2012. "From the Lab to the Field: Cooperation among Fishermen," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1027-1056.
    45. Eichenseer, Michael & Moser, Johannes, 2018. "Leadership in a Dynamic Public Goods Game: An Experimental Study," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181599, Verein für Socialpolitik / German Economic Association.
    46. Simon Gaechter & Kyeongtae Lee & Martin Sefton, 2020. "Risk, Temptation, and Efficiency in Prisoner's Dilemmas," Discussion Papers 2020-15, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    47. Amalia Rodrigo-González & María Caballer-Tarazona & Aurora García-Gallego, 2019. "Active Learning on Trust and Reciprocity for Undergraduates," Sustainability, MDPI, vol. 11(16), pages 1-22, August.
    48. M. Vittoria Levati & Ro’i Zultan, 2011. "Cycles of Conditional Cooperation in a Real-Time Voluntary Contribution Mechanism," Games, MDPI, vol. 2(1), pages 1-15, January.
    49. Vanessa Mertins & Wolfgang Hoffeld, 2015. "Do Overconfident Workers Cooperate Less? The Relationship Between Overconfidence and Cooperation in Team Production," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 36(4), pages 265-274, June.
    50. Barron, Kai & Nurminen, Tuomas, 2020. "Nudging cooperation in public goods provision," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 88(C).
    51. Danielle Kent, 2020. "Comparing alternative estimation methods of a public goods game," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 156-167, December.
    52. Weimann, Joachim & Brosig-Koch, Jeannette & Heinrich, Timo & Hennig-Schmidt, Heike & Keser, Claudia, 2022. "CO2 Emission reduction – Real public good provision by large groups in the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1076-1089.
    53. Vincent Théroude & Adam Zylbersztejn, 2017. "Cooperation in a risky world," Working Papers 1704, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    54. Susana Cabrera & Enrique Fatás & Juan Lacomba & Tibor Neugebauer, 2013. "Splitting leagues: promotion and demotion in contribution-based regrouping experiments," Experimental Economics, Springer;Economic Science Association, vol. 16(3), pages 426-441, September.
    55. Michał Krawczyk & Krzysztof Szczygielski, 2019. "Do professions curb free-riding? An experiment," European Journal of Law and Economics, Springer, vol. 47(3), pages 361-376, June.
    56. Takeuchi, Ai & Seki, Erika, 2023. "Coordination and free-riding problems in the provision of multiple public goods," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 95-121.
    57. Masaki Aoyagi & Guillaume R. Fréchette & Sevgi Yuksel, 2024. "Beliefs in Repeated Games: An Experiment," American Economic Review, American Economic Association, vol. 114(12), pages 3944-3975, December.
    58. Lisa Anderson & Beth Freeborn & Jason Hulbert, 2012. "Risk Aversion and Tacit Collusion in a Bertrand Duopoly Experiment," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 40(1), pages 37-50, February.
    59. Simon Gaechter & Elke Renner, 2014. "Leaders as Role Models for the Voluntary Provision of Public Goods," CESifo Working Paper Series 5049, CESifo.
    60. Arlegi, Ritxar & Dimitrov, Dinko, 2016. "Power set extensions of dichotomous preferences," Mathematical Social Sciences, Elsevier, vol. 83(C), pages 20-29.
    61. Urs Fischbacher & Simon Gaechter, 2008. "Heterogeneous Social Preferences And The Dynamics Of Free Riding In Public Good Experiments," Discussion Papers 2008-07, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    62. Tibor Neugebauer & Maroš Servátka, 2010. "Does Competition Resolve the Free-Rider Problem in the Voluntary Provision of Impure Public Goods? Experimental Evidence," Working Papers in Economics 10/07, University of Canterbury, Department of Economics and Finance.
    63. Spiller, Jörg & Ufert, Aneta & Vetter, Patrick & Will, Ulrike, 2016. "Norms in an asymmetric Public Good experiment," Economics Letters, Elsevier, vol. 142(C), pages 35-44.
    64. Anastasia G Peshkovskaya & Tatiana S Babkina & Mikhail G Myagkov & Ivan A Kulikov & Ksenia V Ekshova & Kyle Harriff, 2017. "The socialization effect on decision making in the Prisoner's Dilemma game: An eye-tracking study," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-15, April.
    65. Florian Artinger & Filippos Exadaktylos & Hannes Koppel & Lauri Sääksvuori, 2010. "Applying Quadratic Scoring Rule transparently in multiple choice settings: A note," ThE Papers 10/01, Department of Economic Theory and Economic History of the University of Granada..
    66. David M. McEvoy & Tobias Haller & Esther Blanco, 2019. "The Role of Non-Binding Pledges in Social Dilemmas with Mitigation and Adaptation," Working Papers 2019-04, Faculty of Economics and Statistics, Universität Innsbruck.
    67. Sonntag, Axel & Zizzo, Daniel John, 2019. "Personal accountability and cooperation in teams," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 428-448.
    68. Marco A Janssen & Allen Lee & Hari Sundaram, 2016. "Stimulating Contributions to Public Goods through Information Feedback: Some Experimental Results," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-16, July.
    69. Sonntag, Axel & Zizzo, Daniel John, 2017. "Accountability one step removed," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168235, Verein für Socialpolitik / German Economic Association.
    70. Vesely, Stepan & Wengström, Erik, 2017. "Risk and Cooperation: Experimental Evidence from Stochastic Public Good Games," Working Papers 2017:3, Lund University, Department of Economics.
    71. Fredrik Carlsson & Claes Ek & Andreas Lange, 2024. "One bad apple spoils the barrel? Public good provision under threshold uncertainty," Experimental Economics, Springer;Economic Science Association, vol. 27(3), pages 664-686, July.
    72. Fijnanda van Klingeren, 2020. "Playing nice in the sandbox: On the role of heterogeneity, trust and cooperation in common-pool resources," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-36, August.
    73. Jörg Spiller & Friedel Bolle, 2013. "Inter-Generational Thoughtfulness in a Dynamic Public Good Experiment," Discussion Paper Series RECAP15 008, RECAP15, European University Viadrina, Frankfurt (Oder).
    74. Alexander Smith, 2012. "Comment on social preferences, beliefs, and the dynamics of free riding in public good experiments," Economics Bulletin, AccessEcon, vol. 32(1), pages 923-931.
    75. Vanessa Mertins & Andrea B Schote & Wolfgang Hoffeld & Michele Griessmair & Jobst Meyer, 2011. "Genetic Susceptibility for Individual Cooperation Preferences: The Role of Monoamine Oxidase A Gene (MAOA) in the Voluntary Provision of Public Goods," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-9, June.
    76. Angelovski, Andrej & Di Cagno, Daniela & Güth, Werner & Marazzi, Francesca & Panaccione, Luca, 2018. "Does heterogeneity spoil the basket? The role of productivity and feedback information on public good provision," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 77(C), pages 40-49.
    77. Alexander Smith, 2013. "Estimating the causal effect of beliefs on contributions in repeated public good games," Experimental Economics, Springer;Economic Science Association, vol. 16(3), pages 414-425, September.
    78. Croson, Rachel & Fatas, Enrique & Neugebauer, Tibor & Morales, Antonio J., 2015. "Excludability: A laboratory study on forced ranking in team production," Journal of Economic Behavior & Organization, Elsevier, vol. 114(C), pages 13-26.
    79. Kok, Lucille & Oosterbaan, Veerle & Stoker, Hester & Vyrastekova, Jana, 2020. "In-group favouritism and social norms: Public goods experiments in Tanzania," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 85(C).
    80. Carlos E. Jijena Michel & Javier Perote & José D. Vicente-Lorente, 2018. "Efficiency and Sustainability in Teamwork: The Role of Entry Costs," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    81. Ananish Chaudhuri, 2018. "Belief Heterogeneity and the Restart Effect in a Public Goods Game," Games, MDPI, vol. 9(4), pages 1-20, November.
    82. Fengwei Sun & Xiaoxiao Wang & Quanlan Yi & Mengliang Wu, 2015. "Does Culture Matter to Pro-Social Behavior? Evidence from a Cross-Ethnic Lab Experiment," Journal of Economics and Behavioral Studies, AMH International, vol. 7(6), pages 94-110.
    83. Kreitmair, Ursula & Bower-Bir, Jacob, 2021. "Too different to solve climate change? Experimental evidence on the effects of production and benefit heterogeneity on collective action," Ecological Economics, Elsevier, vol. 184(C).
    84. Alexander Smith, 2015. "Modeling the dynamics of contributions and beliefs in repeated public good games," Economics Bulletin, AccessEcon, vol. 35(3), pages 1501-1509.
    85. Kurt A. Ackermann & Ryan O. Murphy, 2019. "Explaining Cooperative Behavior in Public Goods Games: How Preferences and Beliefs Affect Contribution Levels," Games, MDPI, vol. 10(1), pages 1-34, March.
    86. Charles FIGUIERES & Marc WILLINGER & David MASCLET, 2009. "Weak moral motivation leads to the decline of voluntary contributions," Working Papers 09-09, LAMETA, Universtiy of Montpellier, revised Aug 2009.
    87. Tibor Neugebauer & Sascha F llbrunn, 2013. "Varying the number of bidders in the first-price sealed-bid auction: experimental evidence for the one-shot game," LSF Research Working Paper Series 13-10, Luxembourg School of Finance, University of Luxembourg.
    88. Bernd Irlenbusch & Rainer Michael Rilke, 2013. "(Public) Good Examples - On the Role of Limited Feedback in Voluntary Contribution Games," Cologne Graduate School Working Paper Series 04-04, Cologne Graduate School in Management, Economics and Social Sciences.
    89. Bernd Irlenbusch & Janna Ter Meer, 2015. "Lying in public good games with and without punishment," Cologne Graduate School Working Paper Series 06-02, Cologne Graduate School in Management, Economics and Social Sciences.
    90. Bernd Irlenbusch & Janna Ter Meer, 2012. "Fooling the Nice Guys: The effect of lying about contributions on public good provision and punishment," Cologne Graduate School Working Paper Series 03-11, Cologne Graduate School in Management, Economics and Social Sciences.
    91. Jordi Brandts & Christina Rott & Carles Solà, 2016. "Not just like starting over - Leadership and revivification of cooperation in groups," Experimental Economics, Springer;Economic Science Association, vol. 19(4), pages 792-818, December.
    92. Liu, Manwei & van der Heijden, Eline, 2019. "Majority rule or dictatorship? The role of collective-choice rules in resolving social dilemmas with endogenous institutions," Other publications TiSEM 78b5d351-486e-425d-a070-2, Tilburg University, School of Economics and Management.
    93. Nisvan Erkal & Boon Han Koh & Nguyen Lam, 2023. "Using Milestones as a Source of Feedback in Teamwork: Insights from a Dynamic Voluntary Contribution Mechanism," Discussion Papers 2310, University of Exeter, Department of Economics.
    94. Dorner, Zack & Tucker, Steven & Hassan, Gazi M, 2024. "Heterogeneous productivity stabilizes public good contributions under certainty, uncertainty and ambiguity," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 110(C).
    95. Robin Watson & Thomas J. H. Morgan & Rachel L. Kendal & Julie Van de Vyver & Jeremy Kendal, 2021. "Social Learning Strategies and Cooperative Behaviour: Evidence of Payoff Bias, but Not Prestige or Conformity, in a Social Dilemma Game," Games, MDPI, vol. 12(4), pages 1-26, November.
    96. Annamaria Fiore & M. Vittoria Levati & Andrea Morone, 2006. "Voluntary contributions with imperfect information: An experimental study," Papers on Strategic Interaction 2006-30, Max Planck Institute of Economics, Strategic Interaction Group.
    97. Trautmann, Stefan T., 2009. "A tractable model of process fairness under risk," Journal of Economic Psychology, Elsevier, vol. 30(5), pages 803-813, October.
    98. Elliot T Berkman & Evgeniya Lukinova & Ivan Menshikov & Mikhail Myagkov, 2015. "Sociality as a Natural Mechanism of Public Goods Provision," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-18, March.
    99. Annarita Colasante & Aurora García-Gallego & Nikolaos Georgantzis & Andrea Morone, 2020. "Voluntary contributions in a system with uncertain returns: a case of systemic risk," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 111-132, January.

  13. Enrique Fatas & Tibor Neugebauer & Javier Perote, 2005. "Within-Team Competition in the Minimum Effort Coordination Game," Experimental 0503006, University Library of Munich, Germany.

    Cited by:

    1. Fabrice Le Lec & Astrid Matthey & Ondřej Rydval, 2023. "Punishing the weakest link - Voluntary sanctions and efficient coordination in the minimum effort game," Post-Print hal-04129235, HAL.
    2. Philip J. Grossman & Catherine Eckel & Mana Komai & Wei Zhan, 2016. "It Pays to Be a Man: Rewards for Leaders in a Coordination Game," Monash Economics Working Papers 38-16, Monash University, Department of Economics.
    3. Gunnthorsdottir, Anna & Vragov, Roumen & Seifert, Stefan & McCabe, Kevin, 2010. "Near-efficient equilibria in contribution-based competitive grouping," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 987-994, December.
    4. Goerg Sebastian J. & Sadrieh Abdolkarim & Neugebauer Tibor, 2016. "Impulse Response Dynamics in Weakest Link Games," German Economic Review, De Gruyter, vol. 17(3), pages 284-297, August.
    5. Jordi Brandts & David J. Cooper & Enrique Fatas, 2006. "Leadership and Overcoming Coordination Failure with Asymmetric Costs," UFAE and IAE Working Papers 691.07, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    6. Fabrice Le Lec & Astrid Matthey & Ondrej Rydval, 2012. "Punishment Fosters Efficiency in the Minimum Effort Coordination Game," Jena Economics Research Papers 2012-030, Friedrich-Schiller-University Jena.
    7. Bortolotti, Stefania & Devetag, Giovanna & Ortmann, Andreas, 2016. "Group incentives or individual incentives? A real-effort weak-link experiment," Journal of Economic Psychology, Elsevier, vol. 56(C), pages 60-73.
    8. Rachel Croson & Enrique Fatas & Tibor Neugebauer, 2006. "An Experimental Analysis Of Conditional Cooperation," Working Papers. Serie AD 2006-24, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    9. Stephan Schosser & Bodo Vogt, 2015. "Do hormones impact behavior in the minimum effort game? - An experimental investigation of human behavior during the weakest link game after the administration of vasopressin -," FEMM Working Papers 150011, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    10. Baethge, Caroline & Fiedler, Marina, 2016. "Aligning mission preferences: Does self-selection foster performance in working groups?," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-18-16, University of Passau, Faculty of Business and Economics.
    11. Casagrande, Alberto & Cagno, Daniela Di & Pandimiglio, Alessandro & Spallone, Marco, 2015. "The effect of competition on tax compliance: The role of audit rules and shame," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 59(C), pages 96-110.
    12. Croson, Rachel & Fatas, Enrique & Neugebauer, Tibor & Morales, Antonio J., 2015. "Excludability: A laboratory study on forced ranking in team production," Journal of Economic Behavior & Organization, Elsevier, vol. 114(C), pages 13-26.
    13. Carlos E. Jijena Michel & Javier Perote & José D. Vicente-Lorente, 2018. "Efficiency and Sustainability in Teamwork: The Role of Entry Costs," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    14. Fabrice Le Lec & Ondrej Rydval & Astrid Matthey, 2014. "Efficiency and Punishment in a Coordination Game: Voluntary Sanctions in the Minimum Effort Game," CERGE-EI Working Papers wp526, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    15. Gunnthorsdottir, Anna & Vragov, Roumen & seifert, Stefan & McCabe, Kevin, 2008. "on the efficiency of team-based meritocracies," MPRA Paper 8627, University Library of Munich, Germany.

  14. Trino-Manuel Niguez & Javier Perote, 2004. "Forecasting the density of asset returns," STICERD - Econometrics Paper Series 479, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

    Cited by:

    1. Del Brio, Esther B. & Ñíguez, Trino-Manuel & Perote, Javier, 2011. "Multivariate semi-nonparametric distributions with dynamic conditional correlations," International Journal of Forecasting, Elsevier, vol. 27(2), pages 347-364.

  15. Javier Perote Peña & Juan Perote Peña, 2003. "Strategy-Proof Estimators for Simple Regression," Economic Working Papers at Centro de Estudios Andaluces E2003/14, Centro de Estudios Andaluces.

    Cited by:

    1. Eliaz, Kfir & Spiegler, Ran, 2022. "On incentive-compatible estimators," Games and Economic Behavior, Elsevier, vol. 132(C), pages 204-220.
    2. Nadezhda Gribkova & Ričardas Zitikis, 2019. "Statistical detection and classification of background risks affecting inputs and outputs," METRON, Springer;Sapienza Università di Roma, vol. 77(1), pages 1-18, April.
    3. Javier Perote & Juan Perote-Peña & Marc Vorsatz, 2012. "Strategic behavior in regressions: an experimental," Working Papers 2012-07, FEDEA.
    4. Nadezhda Gribkova & Ričardas Zitikis, 2018. "A User-Friendly Algorithm for Detecting the Influence of Background Risks on a Model," Risks, MDPI, vol. 6(3), pages 1-11, September.
    5. Mehmet Caner & Kfir Eliaz, 2021. "Shoiuld Humans Lie to Machines: The Incentive Compatibility of Lasso and General Weighted Lasso," Papers 2101.01144, arXiv.org, revised Sep 2021.
    6. Javier Perote & Juan Perote-Peña & Marc Vorsatz, 2015. "Strategic behavior in regressions: an experimental study," Theory and Decision, Springer, vol. 79(3), pages 517-546, November.

  16. Javier Perote Peña & Juan Perote Peña, 2003. "The Impossibility of Strategy-Proof Clustering," Economic Working Papers at Centro de Estudios Andaluces E2003/08, Centro de Estudios Andaluces.

    Cited by:

    1. Antonio Morales & Pablo Brañas Garza, 2003. "Computational Errors in Guessing Games1," Economic Working Papers at Centro de Estudios Andaluces E2003/11, Centro de Estudios Andaluces.

Articles

  1. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).

    Cited by:

    1. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2024. "Bitcoin halving and the integration of cryptocurrency and forex markets: An analysis of the higher-order moment spillovers," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 302-315.

  2. Perote, Javier & Vicente-Lorente, José D. & Zuñiga-Vicente, Jose Angel, 2023. "How reactive is investment in US green bonds and ESG-eligible stocks in times of crisis? Exploring the COVID-19 crisis," Finance Research Letters, Elsevier, vol. 53(C).

    Cited by:

    1. Mao, Qian & Ma, Xinyuan & Sun, Yunpeng, 2023. "Study of impacts of blockchain technology on renewable energy resource findings," Renewable Energy, Elsevier, vol. 211(C), pages 802-808.
    2. Lu, Xunfa & Huang, Nan & Mo, Jianlei & Ye, Zhitao, 2023. "Dynamics of the return and volatility connectedness among green finance markets during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 125(C).
    3. Banerjee, Ameet Kumar & Sensoy, Ahmet & Goodell, John W., 2024. "Connectivity and spillover during crises: Highlighting the prominent and growing role of green energy," Energy Economics, Elsevier, vol. 129(C).
    4. Bhattacherjee, Purba & Mishra, Sibanjan & Bouri, Elie, 2024. "Does asset-based uncertainty drive asymmetric return connectedness across regional ESG markets?," Global Finance Journal, Elsevier, vol. 61(C).
    5. Wei Su, Chi & Yue Song, Xin & Qin, Meng & Lobonţ, Oana-Ramona & Umar, Muhammad, 2024. "Optimistic or pessimistic: How do investors impact the green bond market?," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).

  3. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Semi-nonparametric risk assessment with cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 59(C).

    Cited by:

    1. Balbás, Alejandro & Serna, Gregorio, 2024. "Selling options to beat the market: Further empirical evidence," Research in International Business and Finance, Elsevier, vol. 67(PB).
    2. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Has the interaction between skewness and kurtosis of asset returns information content for risk forecasting?," Finance Research Letters, Elsevier, vol. 49(C).
    3. Syuhada, Khreshna & Hakim, Arief & Suprijanto, Djoko, 2024. "Assessing systemic risk and connectedness among dirty and clean energy markets from the quantile and expectile perspectives," Energy Economics, Elsevier, vol. 129(C).
    4. Bouri, Elie & Jalkh, Naji, 2023. "Spillovers of joint volatility-skewness-kurtosis of major cryptocurrencies and their determinants," International Review of Financial Analysis, Elsevier, vol. 90(C).
    5. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2024. "Bitcoin halving and the integration of cryptocurrency and forex markets: An analysis of the higher-order moment spillovers," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 302-315.
    6. Jiang, Kunliang & Zeng, Linhui & Song, Jiashan & Liu, Yimeng, 2022. "Forecasting Value-at-Risk of cryptocurrencies using the time-varying mixture-accelerating generalized autoregressive score model," Research in International Business and Finance, Elsevier, vol. 61(C).
    7. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).
    8. Müller, Fernanda Maria & Santos, Samuel Solgon & Gössling, Thalles Weber & Righi, Marcelo Brutti, 2022. "Comparison of risk forecasts for cryptocurrencies: A focus on Range Value at Risk," Finance Research Letters, Elsevier, vol. 48(C).

  4. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Has the interaction between skewness and kurtosis of asset returns information content for risk forecasting?," Finance Research Letters, Elsevier, vol. 49(C).

    Cited by:

    1. Bouri, Elie & Jalkh, Naji, 2023. "Spillovers of joint volatility-skewness-kurtosis of major cryptocurrencies and their determinants," International Review of Financial Analysis, Elsevier, vol. 90(C).

  5. de la Horra, Luis P. & Perote, Javier & de la Fuente, Gabriel, 2022. "The impact of economic policy uncertainty and monetary policy on R&D investment: An option pricing approach," Economics Letters, Elsevier, vol. 214(C).

    Cited by:

    1. Neeru Chaudhry & Chris Veld, 2023. "Political uncertainty and investments by private and state‐owned enterprises," International Review of Finance, International Review of Finance Ltd., vol. 23(3), pages 584-614, September.
    2. Alexeeva-Alexeev, Inna & Mazas-Perez-Oleaga, Cristina, 2024. "Do ICT firms manage R&D differently? Firm-level and macroeconomic effects on corporate R&D investment: Empirical evidence from a multi-countries context," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

  6. Pineda, Julián & Cortés, Lina M. & Perote, Javier, 2022. "Financial contagion drivers during recent global crises," Economic Modelling, Elsevier, vol. 117(C).

    Cited by:

    1. Bhatia, Shipra & Tuteja, Divya, 2024. "Contagion and linkages across international currencies," International Review of Financial Analysis, Elsevier, vol. 94(C).
    2. Adriana AnaMaria Davidescu & Eduard Mihai Manta & Razvan Gabriel Hapau & Mihaela Gruiescu & Oana Mihaela Vacaru (Boita), 2023. "Exploring the Contagion Effect from Developed to Emerging CEE Financial Markets," Mathematics, MDPI, vol. 11(3), pages 1-50, January.
    3. Huang, Chuangxia & Cai, Yaqian & Yang, Xiaoguang & Deng, Yanchen & Yang, Xin, 2023. "Laplacian-energy-like measure: Does it improve the Cross-Sectional Absolute Deviation herding model?," Economic Modelling, Elsevier, vol. 127(C).
    4. Shengnan Lv & Zeshui Xu & Xuecheng Fan & Yong Qin & Marinko Skare, 2023. "The mean reversion/persistence of financial cycles: Empirical evidence for 24 countries worldwide," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(1), pages 11-47, March.
    5. Samuel Tabot Enow, 2023. "Financial Contagion and Duration: Evidence from International Financial Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 13(4), pages 1-7, July.
    6. Platonov, Konstantin, 2024. "Confidence spillovers, financial contagion, and stagnation," Journal of International Money and Finance, Elsevier, vol. 148(C).
    7. Hasman, Augusto & Samartín, Margarita, 2023. "Government intervention, linkages and financial fragility," Economic Modelling, Elsevier, vol. 126(C).
    8. Oktay Ozkan & Salah Abosedra & Arshian Sharif & Andrew Adewale Alola, 2024. "Dynamic volatility among fossil energy, clean energy and major assets: evidence from the novel DCC-GARCH," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-19, June.

  7. de la Horra, Luis P. & Perote, Javier & de la Fuente, Gabriel, 2021. "Monetary policy and corporate investment: A panel-data analysis of transmission mechanisms in contexts of high uncertainty," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 609-624.

    Cited by:

    1. Jingyuan Yang & Ling Wang & Ziyuan Sun & Fangming Zhu & Yihui Guo & Yan Shen, 2021. "Impact of Monetary Policy Uncertainty on R&D Investment Smoothing Behavior of Pharmaceutical Manufacturing Enterprises: Empirical Research Based on a Threshold Regression Model," IJERPH, MDPI, vol. 18(21), pages 1-17, November.
    2. de la Horra, Luis P. & Perote, Javier & de la Fuente, Gabriel, 2022. "The impact of economic policy uncertainty and monetary policy on R&D investment: An option pricing approach," Economics Letters, Elsevier, vol. 214(C).
    3. Bukalska Elżbieta & Skibińska-Fabrowska Ilona, 2023. "Corporate Investment in Bank-Dependent Companies in Crisis Time," Central European Economic Journal, Sciendo, vol. 10(57), pages 1-22, January.
    4. de la Horra, Luis P. & Perote, Javier & de la Fuente, Gabriel, 2024. "Beneath the surface: The asymmetric effects of unconventional monetary policy on corporate investment," Finance Research Letters, Elsevier, vol. 61(C).
    5. Eduardo Medeiros & Bernardo Valente & Vasco Gonçalves & Paula Castro, 2022. "How Impactful Are Public Policies on Environmental Sustainability? Debating the Portuguese Case of PO SEUR 2014–2020," Sustainability, MDPI, vol. 14(13), pages 1-17, June.

  8. Lina M Cortés & Juan M Lozada & Javier Perote, 2021. "Firm size and economic concentration: An analysis from a lognormal expansion," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-21, July.
    See citations under working paper version above.
  9. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2021. "Modeling Electricity Price and Quantity Uncertainty: An Application for Hedging with Forward Contracts," Energies, MDPI, vol. 14(11), pages 1-26, June.
    See citations under working paper version above.
  10. Molina-Muñoz, Jesús & Mora-Valencia, Andrés & Perote, Javier, 2020. "Market-crash forecasting based on the dynamics of the alpha-stable distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).

    Cited by:

    1. Ammy-Driss, Ayoub & Garcin, Matthieu, 2023. "Efficiency of the financial markets during the COVID-19 crisis: Time-varying parameters of fractional stable dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).

  11. Hernán Ricardo Briceño & Javier Perote, 2020. "Determinants of the Public Debt in the Eurozone and Its Sustainability Amid the Covid-19 Pandemic," Sustainability, MDPI, vol. 12(16), pages 1-29, August.

    Cited by:

    1. Kazi Musa & Kazi Sohag & Jamaliah Said & Farha Ghapar & Norli Ali, 2023. "Public Debt, Governance, and Growth in Developing Countries: An Application of Quantile via Moments," Mathematics, MDPI, vol. 11(3), pages 1-13, January.
    2. Mohd Shahidan Shaari & Faiz Masnan & Mohd Juraij Abd Rani & Zaharah Zainal Abidin & Abdul Rahim Ridzuan & Norreha Othman, 2023. "The Grim Cost of Economic Growth and Environmental Degradation: A Comprehensive Panel ARDL Study of Public Debt in the ASEAN-5 Countries," Sustainability, MDPI, vol. 15(14), pages 1-15, July.
    3. Ioana-Laura Țibulcă, 2021. "Debt Sustainability: Can EU Member States Use Environmental Taxes to Regain Fiscal Space?," Sustainability, MDPI, vol. 13(11), pages 1-15, May.
    4. Hlongwane, Nyiko Worship & Daw, Olebogeng David, 2022. "Determinants of public debt in South Africa: A Regime-Switching Approach," MPRA Paper 113203, University Library of Munich, Germany.
    5. A.K. SUSILO & Dyah Wulan SARI & I Nengah PUTRA & N.A. PRATIWI, 2022. "Economic Growth And Military Expenditure In Developing Countries During Covid-19 Pandemic," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 22(1), pages 19-38.
    6. Andrey Zahariev & Anelia Radulova & Aleksandrina Aleksandrova & Mariana Petrova, 2021. "Fiscal sustainability and fiscal risk in the EU: forecasts and challenges in terms of COVID-19," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(3), pages 618-632, March.
    7. Samantha Ajovalasit & Andrea Consiglio & Davide Provenzano, 2024. "Debt Sustainability in the Context of Population Ageing: A Risk Management Approach," Risks, MDPI, vol. 12(12), pages 1-23, November.
    8. Bodo Herzog, 2021. "Sustainable Consumer Tax Evasion Theory under Information Inattention," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    9. Corina-Florentina Scarlat (Mihai), 2022. "Public Debt Sustainability in E.U," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 429-439, Decembrie.
    10. Gonzalo F. de-Córdoba & Benedetto Molinari & José L. Torres, 2021. "Public Debt Frontier: A Python Toolkit for Analyzing Public Debt Sustainability," Sustainability, MDPI, vol. 13(23), pages 1-25, November.
    11. Qamar ABBAS & Muhammad RAMZAN & Sumbal FATIMA, 2022. "Financial development and public debt. Estimating the role of institutional quality," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(632), A), pages 5-26, Autumn.
    12. Pompeo Della Posta & Enrico Marelli & Marcello Signorelli, 2022. "COVID-19, Economic Policies and Public Debt Sustainability in Italy," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    13. Oussama Abi Younes & Sumru Altug, 2021. "The COVID-19 Shock: A Bayesian Approach," JRFM, MDPI, vol. 14(10), pages 1-15, October.
    14. Thi Anh Nhu Nguyen & Thi Thuy Huong Luong, 2021. "Fiscal Policy, Institutional Quality, and Public Debt: Evidence from Transition Countries," Sustainability, MDPI, vol. 13(19), pages 1-15, September.

  12. Trespalacios, Alfredo & Cortés, Lina M. & Perote, Javier, 2020. "Uncertainty in electricity markets from a semi-nonparametric approach," Energy Policy, Elsevier, vol. 137(C).
    See citations under working paper version above.
  13. Cortés, Lina M. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Retrieving the implicit risk neutral density of WTI options with a semi-nonparametric approach," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

    Cited by:

    1. Rendón, Juan F. & Trespalacios, Alfredo & Cortés, Lina M. & Villada-Medina, Hernán D., 2021. "Modelización de la demanda de energía eléctrica: más allá de la normalidad || Electrical energy demand modeling: beyond normality," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 32(1), pages 83-98, December.

  14. Inés Jiménez & Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2020. "Portfolio Risk Assessment under Dynamic (Equi)Correlation and Semi-Nonparametric Estimation: An Application to Cryptocurrencies," Mathematics, MDPI, vol. 8(12), pages 1-24, November.

    Cited by:

    1. Bouri, Elie & Jalkh, Naji, 2023. "Spillovers of joint volatility-skewness-kurtosis of major cryptocurrencies and their determinants," International Review of Financial Analysis, Elsevier, vol. 90(C).
    2. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).

  15. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Risk quantification for commodity ETFs: Backtesting value-at-risk and expected shortfall," International Review of Financial Analysis, Elsevier, vol. 70(C).

    Cited by:

    1. Syuhada, Khreshna & Hakim, Arief & Suprijanto, Djoko & Muchtadi-Alamsyah, Intan & Arbi, Lukman, 2022. "Is Tether a safe haven of safe haven amid COVID-19? An assessment against Bitcoin and oil using improved measures of risk," Resources Policy, Elsevier, vol. 79(C).
    2. Brenda Castillo-Brais & Ángel León & Juan Mora, 2022. "Estimating Value-at-Risk and Expected Shortfall: Do Polynomial Expansions Outperform Parametric Densities?," Mathematics, MDPI, vol. 10(22), pages 1-17, November.
    3. Julia S. Mehlitz & Benjamin R. Auer, 2021. "Time‐varying dynamics of expected shortfall in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(6), pages 895-925, June.
    4. Wei Kuang, 2022. "Oil tail-risk forecasts: from financial crisis to COVID-19," Risk Management, Palgrave Macmillan, vol. 24(4), pages 420-460, December.
    5. Daniel Velásquez-Gaviria & Andrés Mora-Valencia & Javier Perote, 2020. "A Comparison of the Risk Quantification in Traditional and Renewable Energy Markets," Energies, MDPI, vol. 13(11), pages 1-42, June.
    6. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Has the interaction between skewness and kurtosis of asset returns information content for risk forecasting?," Finance Research Letters, Elsevier, vol. 49(C).
    7. Enrique Molina‐Muñoz & Andrés Mora‐Valencia & Javier Perote, 2021. "Backtesting expected shortfall for world stock index ETFs with extreme value theory and Gram–Charlier mixtures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4163-4189, July.
    8. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Semi-nonparametric risk assessment with cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 59(C).
    9. León, Ángel & Ñíguez, Trino-Manuel, 2021. "The transformed Gram Charlier distribution: Parametric properties and financial risk applications," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 323-349.
    10. Syuhada, Khreshna & Suprijanto, Djoko & Hakim, Arief, 2022. "Comparing gold’s and Bitcoin’s safe-haven roles against energy commodities during the COVID-19 outbreak: A vine copula approach," Finance Research Letters, Elsevier, vol. 46(PB).
    11. Zaevski, Tsvetelin S. & Nedeltchev, Dragomir C., 2023. "From BASEL III to BASEL IV and beyond: Expected shortfall and expectile risk measures," International Review of Financial Analysis, Elsevier, vol. 87(C).
    12. Trespalacios, Alfredo & Cortés, Lina M. & Perote, Javier, 2020. "Uncertainty in electricity markets from a semi-nonparametric approach," Energy Policy, Elsevier, vol. 137(C).
    13. Zhang, Ning & Su, Xiaoman & Qi, Shuyuan, 2023. "An empirical investigation of multiperiod tail risk forecasting models," International Review of Financial Analysis, Elsevier, vol. 86(C).
    14. Inés Jiménez & Andrés Mora-Valencia & Javier Perote, 2022. "Dynamic selection of Gram–Charlier expansions with risk targets: an application to cryptocurrencies," Risk Management, Palgrave Macmillan, vol. 24(1), pages 81-99, March.
    15. Lazar, Emese & Pan, Jingqi & Wang, Shixuan, 2024. "On the estimation of Value-at-Risk and Expected Shortfall at extreme levels," Journal of Commodity Markets, Elsevier, vol. 34(C).
    16. Abuzayed, Bana & Al-Fayoumi, Nedal & Bouri, Elie, 2022. "Hedging UK stock portfolios with gold and oil: The impact of Brexit," Resources Policy, Elsevier, vol. 75(C).
    17. Elroi Hadad & Davinder Malhotra & Srinivas Nippani, 2024. "Trading commodity ETFs: Price behavior, investment insights, and performance analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(7), pages 1257-1276, July.
    18. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).
    19. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2019. "Quantifying Risk in Traditional Energy and Sustainable Investments," Sustainability, MDPI, vol. 11(3), pages 1-22, January.

  16. Daniel Velásquez-Gaviria & Andrés Mora-Valencia & Javier Perote, 2020. "A Comparison of the Risk Quantification in Traditional and Renewable Energy Markets," Energies, MDPI, vol. 13(11), pages 1-42, June.

    Cited by:

    1. Syuhada, Khreshna & Hakim, Arief & Suprijanto, Djoko & Muchtadi-Alamsyah, Intan & Arbi, Lukman, 2022. "Is Tether a safe haven of safe haven amid COVID-19? An assessment against Bitcoin and oil using improved measures of risk," Resources Policy, Elsevier, vol. 79(C).
    2. Syuhada, Khreshna & Hakim, Arief, 2024. "Risk quantification and validation for green energy markets: New insight from a credibility theory approach," Finance Research Letters, Elsevier, vol. 62(PA).
    3. Huazhang Wang & Daji Ergu & Wenjiao Zai, 2023. "Effect of Chinese Currency Appreciation on Investments in Renewable Energy Projects in Countries along the Belt and Road," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
    4. Faridul Islam & Aviral Kumar Tiwari & Wing-Keung Wong, 2021. "Editorial and Ideas for Research Using Mathematical and Statistical Models for Energy with Applications," Energies, MDPI, vol. 14(22), pages 1-4, November.
    5. Talat S. Genc & Stephen Kosempel, 2023. "Energy Transition and the Economy: A Review Article," Energies, MDPI, vol. 16(7), pages 1-26, March.
    6. Syuhada, Khreshna & Suprijanto, Djoko & Hakim, Arief, 2022. "Comparing gold’s and Bitcoin’s safe-haven roles against energy commodities during the COVID-19 outbreak: A vine copula approach," Finance Research Letters, Elsevier, vol. 46(PB).
    7. Zhu, Qing & Lu, Kai & Liu, Shan & Ruan, Yinglin & Wang, Lin & Yang, Sung-Byung, 2022. "Can low-carbon value bring high returns? Novel quantitative trading from portfolio-of-investment targets in a new-energy market," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 755-769.
    8. Hong, Hui & Jiang, Lijun & Zhang, Cheng & Yue, Zhonggang, 2024. "Do conventional and new energy stock markets herd differently? Evidence from China," Research in International Business and Finance, Elsevier, vol. 67(PA).

  17. Gabriel De La Fuente & Luis P. De La Horra & Javier Perote, 2020. "The demand for Divisia money in the United States: evidence from the CFS Divisia M3 aggregate," Applied Economics Letters, Taylor & Francis Journals, vol. 27(1), pages 41-45, January.

    Cited by:

    1. Barnett, William A. & Ghosh, Taniya & Adil, Masudul Hasan, 2022. "Is money demand really unstable? Evidence from Divisia monetary aggregates," MPRA Paper 111762, University Library of Munich, Germany.
    2. Zhan, Minghua & Wang, Lijun & Zhan, Shuwei & Lu, Yao, 2023. "Does digital finance change the stability of money demand function? Evidence from China," Journal of Asian Economics, Elsevier, vol. 88(C).

  18. Trino-Manuel Ñíguez & Ivan Paya & David Peel & Javier Perote, 2019. "Flexible distribution functions, higher-order preferences and optimal portfolio allocation," Quantitative Finance, Taylor & Francis Journals, vol. 19(4), pages 699-703, April.

    Cited by:

    1. Bernard, Carole & De Gennaro Aquino, Luca & Levante, Lucia, 2021. "Optimal annuity demand for general expected utility agents," Insurance: Mathematics and Economics, Elsevier, vol. 101(PA), pages 70-79.
    2. Kanwal Iqbal Khan & Syed M. Waqar Azeem Naqvi & Muhammad Mudassar Ghafoor & Rana Shahid Imdad Akash, 2020. "Sustainable Portfolio Optimization with Higher-Order Moments of Risk," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    3. León, Ángel & Ñíguez, Trino-Manuel, 2020. "Modeling asset returns under time-varying semi-nonparametric distributions," Journal of Banking & Finance, Elsevier, vol. 118(C).
    4. Khaki, Audil & Prasad, Mason & Al-Mohamad, Somar & Bakry, Walid & Vo, Xuan Vinh, 2023. "Re-evaluating portfolio diversification and design using cryptocurrencies: Are decentralized cryptocurrencies enough?," Research in International Business and Finance, Elsevier, vol. 64(C).
    5. Jules Sadefo Kamdem, 2023. "Risk-Adjusted Performance And Semi-Moments Of Non-Gaussian Portfolio Returns Distributions," Working Papers hal-04134833, HAL.
    6. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).
    7. Carnero, M. Angeles & León, Angel & Ñíguez, Trino-Manuel, 2023. "Skewness in energy returns: estimation, testing and retain-->implications for tail risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 178-189.

  19. Esther B. Del Brio & Andrés Mora-Valencia & Javier Perote, 2019. "Expected shortfall assessment in commodity (L)ETF portfolios with semi-nonparametric specifications," The European Journal of Finance, Taylor & Francis Journals, vol. 25(17), pages 1746-1764, November.

    Cited by:

    1. Ignacio Mauleón, 2022. "Contributions to Risk Assessment with Edgeworth–Sargan Density Expansions (I): Stability Testing," Mathematics, MDPI, vol. 10(7), pages 1-18, March.
    2. Daniel Velásquez-Gaviria & Andrés Mora-Valencia & Javier Perote, 2020. "A Comparison of the Risk Quantification in Traditional and Renewable Energy Markets," Energies, MDPI, vol. 13(11), pages 1-42, June.
    3. Enrique Molina‐Muñoz & Andrés Mora‐Valencia & Javier Perote, 2021. "Backtesting expected shortfall for world stock index ETFs with extreme value theory and Gram–Charlier mixtures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4163-4189, July.
    4. Trespalacios, Alfredo & Cortés, Lina M. & Perote, Javier, 2020. "Uncertainty in electricity markets from a semi-nonparametric approach," Energy Policy, Elsevier, vol. 137(C).
    5. Inés Jiménez & Andrés Mora-Valencia & Javier Perote, 2022. "Dynamic selection of Gram–Charlier expansions with risk targets: an application to cryptocurrencies," Risk Management, Palgrave Macmillan, vol. 24(1), pages 81-99, March.
    6. Inés Jiménez & Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2020. "Portfolio Risk Assessment under Dynamic (Equi)Correlation and Semi-Nonparametric Estimation: An Application to Cryptocurrencies," Mathematics, MDPI, vol. 8(12), pages 1-24, November.
    7. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).

  20. de la Horra, Luis P. & de la Fuente, Gabriel & Perote, Javier, 2019. "The drivers of Bitcoin demand: A short and long-run analysis," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 21-34.

    Cited by:

    1. Erdinc Akyildirim & Oguzhan Cepni & Shaen Corbet & Gazi Salah Uddin, 2023. "Forecasting mid-price movement of Bitcoin futures using machine learning," Annals of Operations Research, Springer, vol. 330(1), pages 553-584, November.
    2. Foley, Sean & Frijns, Bart & Garel, Alexandre & Roh, Tai-Yong, 2022. "Who buys Bitcoin? The cultural determinants of Bitcoin activity," International Review of Financial Analysis, Elsevier, vol. 84(C).
    3. Natalya Apopo & Andrew Phiri, 2019. "On the (in)efficiency of cryptocurrencies: Have they taken daily or weekly random walks?," Working Papers 1904, Department of Economics, Nelson Mandela University, revised Jun 2019.
    4. Panagiotidis, Theodore & Papapanagiotou, Georgios & Stengos, Thanasis, 2024. "A Bayesian approach for the determinants of bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 91(C).
    5. Zhao, Mingguo & Park, Hail, 2024. "Quantile time-frequency spillovers among green bonds, cryptocurrencies, and conventional financial markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
    6. Emon Kalyan Chowdhury & Mohammad Nayeem Abdullah, 2024. "Gauging Demand for Cryptocurrency over the Economic Policy Uncertainty and Stock Market Volatility," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 37-55, July.
    7. Aurelio F. Bariviera & Ignasi Merediz‐Solà, 2021. "Where Do We Stand In Cryptocurrencies Economic Research? A Survey Based On Hybrid Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 377-407, April.
    8. Tzouvanas, Panagiotis & Kizys, Renatas & Tsend-Ayush, Bayasgalan, 2020. "Momentum trading in cryptocurrencies: Short-term returns and diversification benefits," Economics Letters, Elsevier, vol. 191(C).
    9. Ma, Chaoqun & Tian, Yonggang & Hsiao, Shisong & Deng, Liurui, 2022. "Monetary policy shocks and Bitcoin prices," Research in International Business and Finance, Elsevier, vol. 62(C).
    10. V. Anandhabalaji & Manivannan Babu & J. Gayathri & J. Sathya & G. Indhumathi & R. Brintha & Justin Nelson Michael, 2023. "Examining the Volatility of Conventional Cryptocurrencies and Sustainable Cryptocurrency during Covid-19: Based on Energy Consumption," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 344-352, November.
    11. Fang, Tong & Su, Zhi & Yin, Libo, 2020. "Economic fundamentals or investor perceptions? The role of uncertainty in predicting long-term cryptocurrency volatility," International Review of Financial Analysis, Elsevier, vol. 71(C).
    12. Chu, Jeffrey & Chan, Stephen & Zhang, Yuanyuan, 2021. "Bitcoin versus high-performance technology stocks in diversifying against global stock market indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    13. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Semi-nonparametric risk assessment with cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 59(C).
    14. Grobys, Klaus, 2024. "No reward—no effort: Will Bitcoin collapse near to the year 2140?," Finance Research Letters, Elsevier, vol. 63(C).
    15. Yang, Boyu & Sun, Yuying & Wang, Shouyang, 2020. "A novel two-stage approach for cryptocurrency analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    16. Okorie, David Iheke & Lin, Boqiang, 2020. "Crude oil price and cryptocurrencies: Evidence of volatility connectedness and hedging strategy," Energy Economics, Elsevier, vol. 87(C).
    17. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš & Širaňová, Mária, 2020. "Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    18. Jaros{l}aw Kwapie'n & Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z, 2021. "Cryptocurrency Market Consolidation in 2020--2021," Papers 2112.06552, arXiv.org.
    19. Zhang, Dingxuan & Sun, Yuying & Duan, Hongbo & Hong, Yongmiao & Wang, Shouyang, 2023. "Speculation or currency? Multi-scale analysis of cryptocurrencies—The case of Bitcoin," International Review of Financial Analysis, Elsevier, vol. 88(C).
    20. Karim, Muhammad Mahmudul & Ali, Md Hakim & Yarovaya, Larisa & Uddin, Md Hamid & Hammoudeh, Shawkat, 2023. "Return-volatility relationships in cryptocurrency markets: Evidence from asymmetric quantiles and non-linear ARDL approach," International Review of Financial Analysis, Elsevier, vol. 90(C).
    21. Tran, Vu Le & Leirvik, Thomas, 2020. "Efficiency in the markets of crypto-currencies," Finance Research Letters, Elsevier, vol. 35(C).
    22. Nezir Köse & Hakan Yildirim & Emre Ünal & Boqiang Lin, 2024. "The Bitcoin price and Bitcoin price uncertainty: Evidence of Bitcoin price volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(4), pages 673-695, April.
    23. Juraj Fabus & Iveta Kremenova & Natalia Stalmasekova & Terezia Kvasnicova-Galovicova, 2024. "An Empirical Examination of Bitcoin’s Halving Effects: Assessing Cryptocurrency Sustainability within the Landscape of Financial Technologies," JRFM, MDPI, vol. 17(6), pages 1-23, May.
    24. Ji Ho Kwon, 2021. "On the factors of Bitcoin’s value at risk," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-31, December.
    25. Hui, Cho-Hoi & Lo, Chi-Fai & Chau, Po-Hon & Wong, Andrew, 2020. "Does Bitcoin behave as a currency?: A standard monetary model approach," International Review of Financial Analysis, Elsevier, vol. 70(C).
    26. Flori, Andrea, 2019. "News and subjective beliefs: A Bayesian approach to Bitcoin investments," Research in International Business and Finance, Elsevier, vol. 50(C), pages 336-356.
    27. Pho, Kim Hung & Ly, Sel & Lu, Richard & Hoang, Thi Hong Van & Wong, Wing-Keung, 2021. "Is Bitcoin a better portfolio diversifier than gold? A copula and sectoral analysis for China," International Review of Financial Analysis, Elsevier, vol. 74(C).
    28. Urom, Christian & Abid, Ilyes & Guesmi, Khaled & Chevallier, Julien, 2020. "Quantile spillovers and dependence between Bitcoin, equities and strategic commodities," Economic Modelling, Elsevier, vol. 93(C), pages 230-258.
    29. Goel, Rajeev K. & Mazhar, Ummad, 2024. "Cryptocurrency use and tax collections: Direct and indirect channels of influence," Journal of Financial Stability, Elsevier, vol. 72(C).
    30. Ahmed, Walid M.A., 2022. "Robust drivers of Bitcoin price movements: An extreme bounds analysis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    31. R. K. Jana & Indranil Ghosh & Debojyoti Das, 2021. "A differential evolution-based regression framework for forecasting Bitcoin price," Annals of Operations Research, Springer, vol. 306(1), pages 295-320, November.
    32. Aslam, Faheem & Memon, Bilal Ahmed & Hunjra, Ahmed Imran & Bouri, Elie, 2023. "The dynamics of market efficiency of major cryptocurrencies," Global Finance Journal, Elsevier, vol. 58(C).
    33. Constandina Koki & Stefanos Leonardos & Georgios Piliouras, 2019. "A Peek into the Unobservable: Hidden States and Bayesian Inference for the Bitcoin and Ether Price Series," Papers 1909.10957, arXiv.org, revised Jul 2021.
    34. Onur Özdemir, 2022. "Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: evidence from DCC-GARCH and wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.

  21. Castillo, José A. & Mora-Valencia, Andrés & Perote, Javier, 2018. "Moral hazard and default risk of SMEs with collateralized loans," Finance Research Letters, Elsevier, vol. 26(C), pages 95-99.

    Cited by:

    1. Concepción de la Fuente-Cabrero & Mónica de Castro-Pardo & Rosa Santero-Sánchez & Pilar Laguna-Sánchez, 2019. "The Role of Mutual Guarantee Institutions in the Financial Sustainability of New Family-Owned Small Businesses," Sustainability, MDPI, vol. 11(22), pages 1-15, November.
    2. Shi, Baofeng & Zhao, Xue & Wu, Bi & Dong, Yizhe, 2019. "Credit rating and microfinance lending decisions based on loss given default (LGD)," Finance Research Letters, Elsevier, vol. 30(C), pages 124-129.
    3. Francesco Ciampi & Alessandro Giannozzi & Giacomo Marzi & Edward I. Altman, 2021. "Rethinking SME default prediction: a systematic literature review and future perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2141-2188, March.
    4. Jiang, Cuixia & Xiong, Wei & Xu, Qifa & Liu, Yezheng, 2021. "Predicting default of listed companies in mainland China via U-MIDAS Logit model with group lasso penalty," Finance Research Letters, Elsevier, vol. 38(C).
    5. Wang, Jinbo & Ran, Maosheng & Huang, Qing & Li, Wanli, 2022. "Nationalization of private enterprises and default risk: Evidence from mixed-ownership reform in China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 534-553.
    6. Hossain, Monzur & Yoshino, Naoyuki & Taghizadeh-Hesary, Farhad, 2021. "Default risks, moral hazard and market-based solution: Evidence from renewable energy market in Bangladesh," Economic Modelling, Elsevier, vol. 95(C), pages 489-499.
    7. Mariya V. PODSHIVALOVA & Irina S. PYLAEVA & Nadehzda N. KUZMINA, 2019. "Evaluation of state support programs for small business: A regional aspect," Upravlenets, Ural State University of Economics, vol. 10(1), pages 28-39, March.
    8. Huong, Vu Van & Cuong, Ly Kim, 2019. "Does government support promote SME tax payments? New evidence from Vietnam," Finance Research Letters, Elsevier, vol. 31(C).

  22. Carlos E. Jijena Michel & Javier Perote & José D. Vicente-Lorente, 2018. "Efficiency and Sustainability in Teamwork: The Role of Entry Costs," Sustainability, MDPI, vol. 10(7), pages 1-19, July.

    Cited by:

    1. Jie Gao & Cui Huang & Jun Su & Qijun Xie, 2019. "Examining the Factors Behind the Success and Sustainability of China’s Creative Research Group: An Extension of the Teamwork Quality Model," Sustainability, MDPI, vol. 11(4), pages 1-17, February.

  23. Juan A Lacomba & Francisco Lagos & Javier Perote, 2017. "The Lazarillo’s game: Sharing resources with asymmetric conditions," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-14, July.

    Cited by:

    1. Efthymia Kyriakopoulou & Anastasios Xepapadeas, 2021. "Natural Resource Management: A Network Perspective," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(2), pages 221-256, October.
    2. Fijnanda van Klingeren, 2020. "Playing nice in the sandbox: On the role of heterogeneity, trust and cooperation in common-pool resources," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-36, August.
    3. Carlos E. Jijena Michel & Javier Perote & José D. Vicente-Lorente, 2018. "Efficiency and Sustainability in Teamwork: The Role of Entry Costs," Sustainability, MDPI, vol. 10(7), pages 1-19, July.

  24. Cortés, Lina M. & Mora-Valencia, Andrés & Perote, Javier, 2017. "Measuring firm size distribution with semi-nonparametric densities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 485(C), pages 35-47.
    See citations under working paper version above.
  25. Ñíguez, Trino-Manuel & Perote, Javier, 2017. "Moments expansion densities for quantifying financial risk," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 53-69.

    Cited by:

    1. Enrique Molina‐Muñoz & Andrés Mora‐Valencia & Javier Perote, 2021. "Backtesting expected shortfall for world stock index ETFs with extreme value theory and Gram–Charlier mixtures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4163-4189, July.
    2. Matthieu Garcin & Jules Klein & Sana Laaribi, 2020. "Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets," Papers 2007.09043, arXiv.org, revised Mar 2022.
    3. Matthieu Garcin & Jules Klein & Sana Laaribi, 2022. "Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets," Working Papers hal-02901988, HAL.
    4. Kibria, Ahsan & Akhundjanov, Sherzod B. & Oladi, Reza, 2019. "Fossil fuel share in the energy mix and economic growth," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 253-264.
    5. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Risk quantification for commodity ETFs: Backtesting value-at-risk and expected shortfall," International Review of Financial Analysis, Elsevier, vol. 70(C).

  26. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.

    Cited by:

    1. Molina-Muñoz, Jesús & Mora-Valencia, Andrés & Perote, Javier, 2020. "Market-crash forecasting based on the dynamics of the alpha-stable distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    2. Zhang, Hongwei & Jin, Chen & Bouri, Elie & Gao, Wang & Xu, Yahua, 2023. "Realized higher-order moments spillovers between commodity and stock markets: Evidence from China," Journal of Commodity Markets, Elsevier, vol. 30(C).
    3. Ahmed, Walid M.A., 2022. "On the higher-order moment interdependence of stock and commodity markets: A wavelet coherence analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 135-151.
    4. Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
    5. Xu, Qifa & Li, Mengting & Jiang, Cuixia & He, Yaoyao, 2019. "Interconnectedness and systemic risk network of Chinese financial institutions: A LASSO-CoVaR approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    6. Dai, Zhifeng & Zhu, Haoyang, 2023. "Dynamic risk spillover among crude oil, economic policy uncertainty and Chinese financial sectors," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 421-450.
    7. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2020. "Modeling electricity price and quantity uncertainty: An application for hedging with forward contracts," Documentos de Trabajo de Valor Público 18186, Universidad EAFIT.
    8. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
    9. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Larkin, Charles & Lucey, Brian & Oxley, Les, 2022. "Cryptocurrency liquidity and volatility interrelationships during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 45(C).
    10. Corbet, Shaen & Cumming, Douglas J. & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "Have crisis-induced banking supports influenced European bank performance, resilience and price discovery?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    11. Hau, Liya & Yang, Xiaomei & Zhang, Yongmin, 2024. "Multiscale quantile dependence between China's green bond and green equity: Fresh evidence from higher-order moment perspective," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    12. Corbet, Shaen & Hou, Yang & Hu, Yang & Oxley, Les, 2020. "The influence of the COVID-19 pandemic on asset-price discovery: Testing the case of Chinese informational asymmetry," International Review of Financial Analysis, Elsevier, vol. 72(C).
    13. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "The influence of the COVID-19 pandemic on the hedging functionality of Chinese financial markets," Research in International Business and Finance, Elsevier, vol. 59(C).
    14. Jian, Zhihong & Li, Xupei, 2021. "Skewness-based market integration: A systemic risk measure across international equity markets," International Review of Financial Analysis, Elsevier, vol. 74(C).
    15. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "The growth of oil futures in China: Evidence of market maturity through global crises," Energy Economics, Elsevier, vol. 114(C).
    16. Collings, David & Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Larkin, Charles & Oxley, Les, 2022. "The effects of negative reputational contagion on international airlines: The case of the Boeing 737-MAX disasters," International Review of Financial Analysis, Elsevier, vol. 80(C).
    17. Ahmed, Walid M.A. & Al Mafrachi, Mustafa, 2021. "Do higher-order realized moments matter for cryptocurrency returns?," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 483-499.
    18. Jinxin Cui & Aktham Maghyereh, 2022. "Time–frequency co-movement and risk connectedness among cryptocurrencies: new evidence from the higher-order moments before and during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-56, December.
    19. Hung Do & Rabindra Nepal & Russell Smyth, 2020. "Interconnectedness in the Australian national electricity market: A higher moment analysis," CAMA Working Papers 2020-49, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    20. Apergis, Nicholas, 2023. "Realized higher-order moments spillovers across cryptocurrencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    21. Bouri, Elie & Jalkh, Naji, 2023. "Spillovers of joint volatility-skewness-kurtosis of major cryptocurrencies and their determinants," International Review of Financial Analysis, Elsevier, vol. 90(C).
    22. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2024. "Bitcoin halving and the integration of cryptocurrency and forex markets: An analysis of the higher-order moment spillovers," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 302-315.
    23. Paravee Maneejuk & Woraphon Yamaka, 2019. "Predicting Contagion from the US Financial Crisis to International Stock Markets Using Dynamic Copula with Google Trends," Mathematics, MDPI, vol. 7(11), pages 1-29, November.
    24. Hou, Yang & Li, Steven & Wen, Fenghua, 2019. "Time-varying volatility spillover between Chinese fuel oil and stock index futures markets based on a DCC-GARCH model with a semi-nonparametric approach," Energy Economics, Elsevier, vol. 83(C), pages 119-143.
    25. He, Xie & Hamori, Shigeyuki, 2021. "Is volatility spillover enough for investor decisions? A new viewpoint from higher moments," Journal of International Money and Finance, Elsevier, vol. 116(C).
    26. Waqas Hanif & Hee-Un Ko & Linh Pham & Sang Hoon Kang, 2023. "Dynamic connectedness and network in the high moments of cryptocurrency, stock, and commodity markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-40, December.
    27. Cui, Jinxin & Alshater, Muneer M. & Mensi, Walid, 2023. "Higher-order moment risk spillovers and optimal portfolio strategies in global oil markets," Resources Policy, Elsevier, vol. 86(PA).
    28. Pineda, Julián & Cortés, Lina M. & Perote, Javier, 2022. "Financial contagion drivers during recent global crises," Economic Modelling, Elsevier, vol. 117(C).
    29. Inés Jiménez & Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2020. "Portfolio Risk Assessment under Dynamic (Equi)Correlation and Semi-Nonparametric Estimation: An Application to Cryptocurrencies," Mathematics, MDPI, vol. 8(12), pages 1-24, November.
    30. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).
    31. Cioroianu, Iulia & Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Larkin, Charles & Taffler, Richard, 2024. "Exploring the use of emotional sentiment to understanding market response to unexpected corporate pivots," Research in International Business and Finance, Elsevier, vol. 70(PA).

  27. Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2017. "Multivariate approximations to portfolio return distribution," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 347-361, September.

    Cited by:

    1. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.
    2. Inés Jiménez & Andrés Mora-Valencia & Javier Perote, 2022. "Dynamic selection of Gram–Charlier expansions with risk targets: an application to cryptocurrencies," Risk Management, Palgrave Macmillan, vol. 24(1), pages 81-99, March.
    3. Inés Jiménez & Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2020. "Portfolio Risk Assessment under Dynamic (Equi)Correlation and Semi-Nonparametric Estimation: An Application to Cryptocurrencies," Mathematics, MDPI, vol. 8(12), pages 1-24, November.

  28. Esther B. Brio & Ilidio Lopes-e-Silva & Javier Perote, 2016. "Effects of opportunistic behaviors on security markets: an experimental approach to insider trading and earnings management," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(3), pages 379-402, December.

    Cited by:

    1. Sondes Draief, 2021. "Earnings Management Incentives and the Pricing of Discretionary Accruals," International Journal of Business and Management, Canadian Center of Science and Education, vol. 14(7), pages 1-77, July.
    2. Merl, Robert, 2022. "Literature review of experimental asset markets with insiders," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).

  29. Lina M. Cortés & Andrés Mora-Valencia & Javier Perote, 2016. "The productivity of top researchers: a semi-nonparametric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 891-915, November.
    See citations under working paper version above.
  30. Ñíguez, Trino-Manuel & Perote, Javier, 2016. "Multivariate moments expansion density: Application of the dynamic equicorrelation model," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 216-232.
    See citations under working paper version above.
  31. Javier Perote & Juan Perote-Peña & Marc Vorsatz, 2015. "Strategic behavior in regressions: an experimental study," Theory and Decision, Springer, vol. 79(3), pages 517-546, November.

    Cited by:

    1. Nadezhda Gribkova & Ričardas Zitikis, 2019. "Statistical detection and classification of background risks affecting inputs and outputs," METRON, Springer;Sapienza Università di Roma, vol. 77(1), pages 1-18, April.
    2. Nadezhda Gribkova & Ričardas Zitikis, 2018. "A User-Friendly Algorithm for Detecting the Influence of Background Risks on a Model," Risks, MDPI, vol. 6(3), pages 1-11, September.

  32. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2014. "VaR performance during the subprime and sovereign debt crises: An application to emerging markets," Emerging Markets Review, Elsevier, vol. 20(C), pages 23-41.

    Cited by:

    1. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.
    2. Ignacio Mauleón, 2022. "Contributions to Risk Assessment with Edgeworth–Sargan Density Expansions (I): Stability Testing," Mathematics, MDPI, vol. 10(7), pages 1-18, March.
    3. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2017. "Risk quantification in turmoil markets," Risk Management, Palgrave Macmillan, vol. 19(3), pages 202-224, August.
    4. Enrique Molina‐Muñoz & Andrés Mora‐Valencia & Javier Perote, 2021. "Backtesting expected shortfall for world stock index ETFs with extreme value theory and Gram–Charlier mixtures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4163-4189, July.
    5. Kim, Jun Sik & Ryu, Doojin, 2015. "Are the KOSPI 200 implied volatilities useful in value-at-risk models?," Emerging Markets Review, Elsevier, vol. 22(C), pages 43-64.
    6. Khamis Hamed Al‐Yahyaee & Syed Jawad Hussain Shahzad & Walid Mensi & Seong‐Min Yoon, 2021. "Is there a systemic risk between Sharia, Sukuk, and GCC stock markets? A ΔCoVaR risk metric‐based copula approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2904-2926, April.
    7. Robert J. Powell & Duc H. Vo & Thach N. Pham, 2018. "Do Nonparametric Measures of Extreme Equity Risk Change the Parametric Ordinal Ranking? Evidence from Asia," Risks, MDPI, vol. 6(4), pages 1-22, October.
    8. Nikola Radivojevic & Milena Cvjetkovic & Saša Stepanov, 2016. "The new hybrid value at risk approach based on the extreme value theory," Estudios de Economia, University of Chile, Department of Economics, vol. 43(1 Year 20), pages 29-52, June.
    9. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2019. "Modeling the electricity spot price with switching regime semi-nonparametric distributions," Documentos de Trabajo de Valor Público 17618, Universidad EAFIT.
    10. Batten, Jonathan A. & Jacoby, Gady & Liao, Rose C., 2014. "Corporate yield spreads and real interest rates," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 89-100.
    11. Nikola Radivojević & Nikola V. Ćurčić & Djurdjica Dj. Vukajlović, 2017. "Hull-White’s value at risk model: case study of Baltic equities market," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(5), pages 1023-1041, September.
    12. Inés Jiménez & Andrés Mora-Valencia & Javier Perote, 2022. "Dynamic selection of Gram–Charlier expansions with risk targets: an application to cryptocurrencies," Risk Management, Palgrave Macmillan, vol. 24(1), pages 81-99, March.
    13. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Risk quantification for commodity ETFs: Backtesting value-at-risk and expected shortfall," International Review of Financial Analysis, Elsevier, vol. 70(C).
    14. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).
    15. Slim, Skander & Koubaa, Yosra & BenSaïda, Ahmed, 2017. "Value-at-Risk under Lévy GARCH models: Evidence from global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 30-53.

  33. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2014. "Semi-nonparametric VaR forecasts for hedge funds during the recent crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 330-343.

    Cited by:

    1. Molina-Muñoz, Jesús & Mora-Valencia, Andrés & Perote, Javier, 2020. "Market-crash forecasting based on the dynamics of the alpha-stable distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    2. Xu, Qifa & Li, Mengting & Jiang, Cuixia & He, Yaoyao, 2019. "Interconnectedness and systemic risk network of Chinese financial institutions: A LASSO-CoVaR approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    3. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.
    4. Enrique Molina‐Muñoz & Andrés Mora‐Valencia & Javier Perote, 2021. "Backtesting expected shortfall for world stock index ETFs with extreme value theory and Gram–Charlier mixtures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4163-4189, July.
    5. Zhang, Bangzheng & Wei, Yu & Yu, Jiang & Lai, Xiaodong & Peng, Zhenfeng, 2014. "Forecasting VaR and ES of stock index portfolio: A Vine copula method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 112-124.
    6. Zaichao Du & Pei Pei, 2020. "Backtesting portfolio value‐at‐risk with estimated portfolio weights," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 605-619, September.
    7. Paravee Maneejuk & Woraphon Yamaka, 2019. "Predicting Contagion from the US Financial Crisis to International Stock Markets Using Dynamic Copula with Google Trends," Mathematics, MDPI, vol. 7(11), pages 1-29, November.
    8. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Risk quantification for commodity ETFs: Backtesting value-at-risk and expected shortfall," International Review of Financial Analysis, Elsevier, vol. 70(C).

  34. Ñíguez, Trino-Manuel & Paya, Ivan & Peel, David & Perote, Javier, 2012. "On the stability of the constant relative risk aversion (CRRA) utility under high degrees of uncertainty," Economics Letters, Elsevier, vol. 115(2), pages 244-248.

    Cited by:

    1. Lina Cortés & Juan M. Lozada & Javier Perote, 2019. "Firm size and concentration inequality: A flexible extension of Gibrat’s law," Documentos de Trabajo de Valor Público 17205, Universidad EAFIT.
    2. Lina Cortés & Andrés Mora-Valencia & Javier Perote, 2017. "Measuring firm size distribution with semi-nonparametric densities," Documentos de Trabajo de Valor Público 15300, Universidad EAFIT.
    3. Lina M Cortés & Juan M Lozada & Javier Perote, 2021. "Firm size and economic concentration: An analysis from a lognormal expansion," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-21, July.
    4. Cortés, Lina M. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Retrieving the implicit risk neutral density of WTI options with a semi-nonparametric approach," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    5. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Semi-nonparametric risk assessment with cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 59(C).
    6. Lina M. Cortés & Andrés Mora-Valencia & Javier Perote, 2016. "The productivity of top researchers: a semi-nonparametric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 891-915, November.
    7. Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2017. "Multivariate approximations to portfolio return distribution," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 347-361, September.
    8. M. Mercè Claramunt & Maite Mármol & Xavier Varea, 2023. "Facing a Risk: To Insure or Not to Insure—An Analysis with the Constant Relative Risk Aversion Utility Function," Mathematics, MDPI, vol. 11(5), pages 1-13, February.
    9. Trino-Manuel Niguez & Ivan Paya & David Peel & Javier Perote, 2013. "Higher-order moments in the theory of diversification and portfolio composition," Working Papers 18297128, Lancaster University Management School, Economics Department.
    10. Lina M. Cortés & Javier Perote & Andrés Mora-Valencia, 2017. "Implicit probability distribution for WTI options: The Black Scholes vs. the semi-nonparametric approach," Documentos de Trabajo de Valor Público 15923, Universidad EAFIT.

  35. Trino-Manuel Ñíguez & Javier Perote, 2012. "Forecasting Heavy-Tailed Densities with Positive Edgeworth and Gram-Charlier Expansions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(4), pages 600-627, August.

    Cited by:

    1. Barletta, Andrea & Santucci de Magistris, Paolo & Violante, Francesco, 2019. "A non-structural investigation of VIX risk neutral density," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 1-20.
    2. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2020. "Modeling electricity price and quantity uncertainty: An application for hedging with forward contracts," Documentos de Trabajo de Valor Público 18186, Universidad EAFIT.
    3. Ñíguez, Trino-Manuel & Perote, Javier, 2016. "Multivariate moments expansion density: Application of the dynamic equicorrelation model," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 216-232.
    4. Ñíguez, Trino-Manuel & Perote, Javier, 2017. "Moments expansion densities for quantifying financial risk," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 53-69.
    5. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Has the interaction between skewness and kurtosis of asset returns information content for risk forecasting?," Finance Research Letters, Elsevier, vol. 49(C).
    6. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Semi-nonparametric risk assessment with cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 59(C).
    7. León, Ángel & Ñíguez, Trino-Manuel, 2021. "The transformed Gram Charlier distribution: Parametric properties and financial risk applications," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 323-349.
    8. Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2017. "Multivariate approximations to portfolio return distribution," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 347-361, September.
    9. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2014. "Semi-nonparametric VaR forecasts for hedge funds during the recent crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 330-343.
    10. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2019. "Modeling the electricity spot price with switching regime semi-nonparametric distributions," Documentos de Trabajo de Valor Público 17618, Universidad EAFIT.
    11. Trino-Manuel Niguez & Ivan Paya & David Peel & Javier Perote, 2013. "Higher-order moments in the theory of diversification and portfolio composition," Working Papers 18297128, Lancaster University Management School, Economics Department.
    12. Trespalacios, Alfredo & Cortés, Lina M. & Perote, Javier, 2020. "Uncertainty in electricity markets from a semi-nonparametric approach," Energy Policy, Elsevier, vol. 137(C).
    13. Andrea Barletta & Paolo Santucci de Magistris & Francesco Violante, 2016. "Retrieving Risk-Neutral Densities Embedded in VIX Options: a Non-Structural Approach," CREATES Research Papers 2016-20, Department of Economics and Business Economics, Aarhus University.
    14. Inés Jiménez & Andrés Mora-Valencia & Javier Perote, 2022. "Dynamic selection of Gram–Charlier expansions with risk targets: an application to cryptocurrencies," Risk Management, Palgrave Macmillan, vol. 24(1), pages 81-99, March.
    15. Del Brio, Esther B. & Perote, Javier, 2012. "Gram–Charlier densities: Maximum likelihood versus the method of moments," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 531-537.
    16. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Risk quantification for commodity ETFs: Backtesting value-at-risk and expected shortfall," International Review of Financial Analysis, Elsevier, vol. 70(C).
    17. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).

  36. Del Brio, Esther B. & Perote, Javier, 2012. "Gram–Charlier densities: Maximum likelihood versus the method of moments," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 531-537.

    Cited by:

    1. Monica Billio & Bertrand Maillet & Loriana Pelizzon, 2022. "A meta-measure of performance related to both investors and investments characteristics," Annals of Operations Research, Springer, vol. 313(2), pages 1405-1447, June.
    2. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2014. "VaR performance during the subprime and sovereign debt crises: An application to emerging markets," Emerging Markets Review, Elsevier, vol. 20(C), pages 23-41.
    3. Rendón, Juan F. & Cortés, Lina M. & Perote, Javier, 2024. "Basel III countercyclical bank capital buffer estimation and its relation to monetary policy," Journal of Economics and Business, Elsevier, vol. 130(C).
    4. Sylvia J. Soltyk & Felix Chan, 2023. "Modeling time‐varying higher‐order conditional moments: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 33-57, February.
    5. Enrique Molina‐Muñoz & Andrés Mora‐Valencia & Javier Perote, 2021. "Backtesting expected shortfall for world stock index ETFs with extreme value theory and Gram–Charlier mixtures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4163-4189, July.
    6. Lina M. Cortés & Andrés Mora-Valencia & Javier Perote, 2016. "The productivity of top researchers: a semi-nonparametric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 891-915, November.
    7. Wang, Tianyi & Liang, Fang & Huang, Zhuo & Yan, Hong, 2022. "Do realized higher moments have information content? - VaR forecasting based on the realized GARCH-RSRK model," Economic Modelling, Elsevier, vol. 109(C).
    8. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2014. "Semi-nonparametric VaR forecasts for hedge funds during the recent crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 330-343.
    9. Trespalacios, Alfredo & Cortés, Lina M. & Perote, Javier, 2020. "Uncertainty in electricity markets from a semi-nonparametric approach," Energy Policy, Elsevier, vol. 137(C).
    10. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Risk quantification for commodity ETFs: Backtesting value-at-risk and expected shortfall," International Review of Financial Analysis, Elsevier, vol. 70(C).

  37. Del Brio, Esther B. & Ñíguez, Trino-Manuel & Perote, Javier, 2011. "Multivariate semi-nonparametric distributions with dynamic conditional correlations," International Journal of Forecasting, Elsevier, vol. 27(2), pages 347-364, April.

    Cited by:

    1. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2020. "Modeling electricity price and quantity uncertainty: An application for hedging with forward contracts," Documentos de Trabajo de Valor Público 18186, Universidad EAFIT.
    2. Christina Erlwein-Sayer, 2018. "Macroeconomic News Sentiment: Enhanced Risk Assessment for Sovereign Bonds," Risks, MDPI, vol. 6(4), pages 1-27, December.
    3. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.
    4. Ñíguez, Trino-Manuel & Perote, Javier, 2016. "Multivariate moments expansion density: Application of the dynamic equicorrelation model," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 216-232.
    5. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Larkin, Charles & Lucey, Brian & Oxley, Les, 2022. "Cryptocurrency liquidity and volatility interrelationships during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 45(C).
    6. Ñíguez, Trino-Manuel & Perote, Javier, 2017. "Moments expansion densities for quantifying financial risk," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 53-69.
    7. Corbet, Shaen & Cumming, Douglas J. & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "Have crisis-induced banking supports influenced European bank performance, resilience and price discovery?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    8. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "The influence of the COVID-19 pandemic on the hedging functionality of Chinese financial markets," Research in International Business and Finance, Elsevier, vol. 59(C).
    9. Enrique Molina‐Muñoz & Andrés Mora‐Valencia & Javier Perote, 2021. "Backtesting expected shortfall for world stock index ETFs with extreme value theory and Gram–Charlier mixtures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4163-4189, July.
    10. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Semi-nonparametric risk assessment with cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 59(C).
    11. Conlon, Thomas & Corbet, Shaen & Goodell, John W. & Hou, Yang (Greg) & Oxley, Les, 2024. "Financial market information flows when counteracting rogue states: The indirect effects of targeted sanction packages," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 32-62.
    12. Collings, David & Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Larkin, Charles & Oxley, Les, 2022. "The effects of negative reputational contagion on international airlines: The case of the Boeing 737-MAX disasters," International Review of Financial Analysis, Elsevier, vol. 80(C).
    13. Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2017. "Multivariate approximations to portfolio return distribution," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 347-361, September.
    14. Zaichao Du & Pei Pei, 2020. "Backtesting portfolio value‐at‐risk with estimated portfolio weights," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 605-619, September.
    15. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2024. "Bitcoin halving and the integration of cryptocurrency and forex markets: An analysis of the higher-order moment spillovers," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 302-315.
    16. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2014. "Semi-nonparametric VaR forecasts for hedge funds during the recent crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 330-343.
    17. Hou, Yang & Li, Steven & Wen, Fenghua, 2019. "Time-varying volatility spillover between Chinese fuel oil and stock index futures markets based on a DCC-GARCH model with a semi-nonparametric approach," Energy Economics, Elsevier, vol. 83(C), pages 119-143.
    18. Trino-Manuel Niguez & Ivan Paya & David Peel & Javier Perote, 2013. "Higher-order moments in the theory of diversification and portfolio composition," Working Papers 18297128, Lancaster University Management School, Economics Department.
    19. Inés Jiménez & Andrés Mora-Valencia & Javier Perote, 2022. "Dynamic selection of Gram–Charlier expansions with risk targets: an application to cryptocurrencies," Risk Management, Palgrave Macmillan, vol. 24(1), pages 81-99, March.
    20. Del Brio, Esther B. & Perote, Javier, 2012. "Gram–Charlier densities: Maximum likelihood versus the method of moments," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 531-537.
    21. Inés Jiménez & Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2020. "Portfolio Risk Assessment under Dynamic (Equi)Correlation and Semi-Nonparametric Estimation: An Application to Cryptocurrencies," Mathematics, MDPI, vol. 8(12), pages 1-24, November.
    22. Aslanidis, Nektarios & Casas, Isabel, 2013. "Nonparametric correlation models for portfolio allocation," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2268-2283.
    23. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Risk quantification for commodity ETFs: Backtesting value-at-risk and expected shortfall," International Review of Financial Analysis, Elsevier, vol. 70(C).
    24. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).
    25. Cioroianu, Iulia & Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Larkin, Charles & Taffler, Richard, 2024. "Exploring the use of emotional sentiment to understanding market response to unexpected corporate pivots," Research in International Business and Finance, Elsevier, vol. 70(PA).

  38. Neugebauer, Tibor & Perote, Javier & Schmidt, Ulrich & Loos, Malte, 2009. "Selfish-biased conditional cooperation: On the decline of contributions in repeated public goods experiments," Journal of Economic Psychology, Elsevier, vol. 30(1), pages 52-60, February.
    See citations under working paper version above.
  39. Esther B. Del Brio & Trino-Manuel Niguez & Javier Perote, 2009. "Gram-Charlier densities: a multivariate approach," Quantitative Finance, Taylor & Francis Journals, vol. 9(7), pages 855-868.

    Cited by:

    1. A. Gabrielsen & P. Zagaglia & A. Kirchner & Z. Liu, 2012. "Forecasting Value-at-Risk with Time-Varying Variance, Skewness and Kurtosis in an Exponential Weighted Moving Average Framework," Papers 1206.1380, arXiv.org.
    2. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2020. "Modeling electricity price and quantity uncertainty: An application for hedging with forward contracts," Documentos de Trabajo de Valor Público 18186, Universidad EAFIT.
    3. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.
    4. Ñíguez, Trino-Manuel & Perote, Javier, 2016. "Multivariate moments expansion density: Application of the dynamic equicorrelation model," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 216-232.
    5. Ñíguez, Trino-Manuel & Perote, Javier, 2017. "Moments expansion densities for quantifying financial risk," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 53-69.
    6. Juan Arismendi, 2014. "A Multi-Asset Option Approximation for General Stochastic Processes," ICMA Centre Discussion Papers in Finance icma-dp2014-03, Henley Business School, University of Reading.
    7. Del Brio, Esther B. & Ñíguez, Trino-Manuel & Perote, Javier, 2011. "Multivariate semi-nonparametric distributions with dynamic conditional correlations," International Journal of Forecasting, Elsevier, vol. 27(2), pages 347-364.
    8. Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2017. "Multivariate approximations to portfolio return distribution," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 347-361, September.
    9. Withers, Christopher S. & Nadarajah, Saralees, 2014. "The dual multivariate Charlier and Edgeworth expansions," Statistics & Probability Letters, Elsevier, vol. 87(C), pages 76-85.
    10. Lina M Cortés & Juan F. Rendón & Javier Perote, 2021. "Determining the banking solvency risk in times of COVID-19 through Gram-Charlier expansions," Documentos de Trabajo de Valor Público 19593, Universidad EAFIT.
    11. Del Brio, Esther B. & Perote, Javier, 2012. "Gram–Charlier densities: Maximum likelihood versus the method of moments," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 531-537.
    12. Inés Jiménez & Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2020. "Portfolio Risk Assessment under Dynamic (Equi)Correlation and Semi-Nonparametric Estimation: An Application to Cryptocurrencies," Mathematics, MDPI, vol. 8(12), pages 1-24, November.

  40. Tibor Neugebauer & Javier Perote, 2008. "Bidding ‘as if’ risk neutral in experimental first price auctions without information feedback," Experimental Economics, Springer;Economic Science Association, vol. 11(2), pages 190-202, June.

    Cited by:

    1. Iftekhar, M. S. & Tisdell, J. G., 2018. "Learning in repeated multiple unit combinatorial auctions: An experimental study," Working Papers 267301, University of Western Australia, School of Agricultural and Resource Economics.
    2. Katuščák, Peter & Michelucci, Fabio & Zajíček, Miroslav, 2015. "Does feedback really matter in one-shot first-price auctions?," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 139-152.
    3. Laurens Cherchye & Thomas Demuynck & Bram De Rock & Mikhail Freer, 2018. "Equilibrium Play in First Price Auctions: Revealed Preference Analysis," Working Papers ECARES 2018-36, ULB -- Universite Libre de Bruxelles.
    4. Bannier, Christina E., 2007. "Heterogeneous multiple bank financing: does it reduce inefficient credit-renegotation incidences?," Frankfurt School - Working Paper Series 83, Frankfurt School of Finance and Management.
    5. Laurens Cherchye & Thomas Demuynck & Bram De Rock & Mikhail Freer, 2019. "Revealed Preference Analysis of Expected Utility Maximization under Prize-Probability Trade-Offs," Working Papers ECARES 2019-27, ULB -- Universite Libre de Bruxelles.
    6. Crifo, Patricia & Forget, Vanina D. & Teyssier, Sabrina, 2015. "The price of environmental, social and governance practice disclosure: An experiment with professional private equity investors," Journal of Corporate Finance, Elsevier, vol. 30(C), pages 168-194.
    7. Serafin J. Grundl & Yu Zhu, 2019. "Robust Inference in First-Price Auctions : Experimental Findings as Identifying Restrictions," Finance and Economics Discussion Series 2019-006, Board of Governors of the Federal Reserve System (U.S.).
    8. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    9. John A. List & Daan van Soest & Jan Stoop & Haiwen Zhou, 2020. "On the Role of Group Size in Tournaments: Theory and Evidence from Laboratory and Field Experiments," Management Science, INFORMS, vol. 66(10), pages 4359-4377, October.
    10. Patricia Crifo & Vanina Forget & Sabrina Teyssier, 2012. "The price of unsustainability: An experiment with professional private equity investors," Working Papers hal-00757203, HAL.
    11. Tibor Neugebauer, 2007. "Bid and price effects of increased competition in the first-price auction: experimental evidence," LSF Research Working Paper Series 07-17, Luxembourg School of Finance, University of Luxembourg.
    12. Grundl, Serafin & Zhu, Yu, 2023. "Robust inference in first-price auctions: Overbidding as an identifying restriction," Journal of Econometrics, Elsevier, vol. 235(2), pages 484-506.
    13. F. Javier Otamendi & Isabelle Brocas & Juan D. Carrillo, 2018. "Sequential Auctions with Capacity Constraints: An Experimental Investigation," Games, MDPI, vol. 9(1), pages 1-31, March.
    14. Neugebauer, Tibor & Perote, Javier & Schmidt, Ulrich & Loos, Malte, 2009. "Selfish-biased conditional cooperation: On the decline of contributions in repeated public goods experiments," Journal of Economic Psychology, Elsevier, vol. 30(1), pages 52-60, February.
    15. Wang, Jian & Iversen, Tor & Hennig-Schmidt, Heike & Godager, Geir, 2017. "How Changes in Payment Schemes Influence Provision Behavior," HERO Online Working Paper Series 2017:2, University of Oslo, Health Economics Research Programme.
    16. Tibor Neugebauer & Sascha F llbrunn, 2013. "Varying the number of bidders in the first-price sealed-bid auction: experimental evidence for the one-shot game," LSF Research Working Paper Series 13-10, Luxembourg School of Finance, University of Luxembourg.
    17. Juan A Lacomba & Francisco Lagos & Javier Perote, 2017. "The Lazarillo’s game: Sharing resources with asymmetric conditions," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-14, July.
    18. Peter Katuscak & Fabio Michelucci & Miroslav Zajicek, 2013. "Does Anticipated Regret Really Matter? Revisiting the Role of Feedback in Auction Bidding," CERGE-EI Working Papers wp487, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    19. Neugebauer, Tibor & Selten, Reinhard, 2006. "Individual behavior of first-price auctions: The importance of information feedback in computerized experimental markets," Games and Economic Behavior, Elsevier, vol. 54(1), pages 183-204, January.

  41. Esther Brio & Javier Perote, 2007. "What Enhances Insider Trading Profitability?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 35(2), pages 173-188, June.

    Cited by:

    1. Madura, Jeff & Marciniak, Marek, 2014. "Bidder country characteristics and informed trading in U.S. targets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 256-284.
    2. Van Geyt, Debby & Van Cauwenberge, Philippe & Vander Bauwhede, Heidi, 2014. "Does high-quality corporate communication reduce insider trading profitability?," International Review of Law and Economics, Elsevier, vol. 37(C), pages 1-14.
    3. Jeff Madura & Thanh Ngo & Jurica Susnjara, 2014. "Information leakages and the costs of merging in Europe," Applied Financial Economics, Taylor & Francis Journals, vol. 24(8), pages 515-532, April.

  42. Enrique Fatas & Tibor Neugebauer & Javier Perote, 2006. "Within‐Team Competition In The Minimum Effort Coordination Game," Pacific Economic Review, Wiley Blackwell, vol. 11(2), pages 247-266, June.
    See citations under working paper version above.
  43. Perote, Javier & Perote-Pena, Juan, 2004. "Strategy-proof estimators for simple regression," Mathematical Social Sciences, Elsevier, vol. 47(2), pages 153-176, March.
    See citations under working paper version above.
  44. Javier Perote, 2004. "The multivariate Edgeworth-Sargan density," Spanish Economic Review, Springer;Spanish Economic Association, vol. 6(1), pages 77-96, April.

    Cited by:

    1. Arismendi, Juan & Genaro, Alan De, 2016. "A Monte Carlo multi-asset option pricing approximation for general stochastic processes," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 75-99.
    2. Niguez, Trino-Manuel & Perote, Javier, 2004. "Forecasting the density of asset returns," LSE Research Online Documents on Economics 6845, London School of Economics and Political Science, LSE Library.
    3. Lina Cortés & Andrés Mora-Valencia & Javier Perote, 2017. "Measuring firm size distribution with semi-nonparametric densities," Documentos de Trabajo de Valor Público 15300, Universidad EAFIT.
    4. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2020. "Modeling electricity price and quantity uncertainty: An application for hedging with forward contracts," Documentos de Trabajo de Valor Público 18186, Universidad EAFIT.
    5. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.
    6. Fang Liang & Lingshan Du & Zhuo Huang, 2023. "Option pricing with overnight and intraday volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1576-1614, November.
    7. Juan Arismendi, 2014. "A Multi-Asset Option Approximation for General Stochastic Processes," ICMA Centre Discussion Papers in Finance icma-dp2014-03, Henley Business School, University of Reading.
    8. Del Brio, Esther B. & Ñíguez, Trino-Manuel & Perote, Javier, 2011. "Multivariate semi-nonparametric distributions with dynamic conditional correlations," International Journal of Forecasting, Elsevier, vol. 27(2), pages 347-364.
    9. Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2017. "Multivariate approximations to portfolio return distribution," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 347-361, September.
    10. Withers, Christopher S. & Nadarajah, Saralees, 2014. "The dual multivariate Charlier and Edgeworth expansions," Statistics & Probability Letters, Elsevier, vol. 87(C), pages 76-85.
    11. Del Brio, Esther B. & Ñíguez, Trino-Manuel & Perote, Javier, 2008. "Multivariate Gram-Charlier Densities," MPRA Paper 29073, University Library of Munich, Germany.
    12. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2014. "Semi-nonparametric VaR forecasts for hedge funds during the recent crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 330-343.
    13. Inés Jiménez & Andrés Mora-Valencia & Javier Perote, 2022. "Dynamic selection of Gram–Charlier expansions with risk targets: an application to cryptocurrencies," Risk Management, Palgrave Macmillan, vol. 24(1), pages 81-99, March.
    14. Del Brio, Esther B. & Perote, Javier, 2012. "Gram–Charlier densities: Maximum likelihood versus the method of moments," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 531-537.
    15. Inés Jiménez & Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2020. "Portfolio Risk Assessment under Dynamic (Equi)Correlation and Semi-Nonparametric Estimation: An Application to Cryptocurrencies," Mathematics, MDPI, vol. 8(12), pages 1-24, November.
    16. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).

  45. Esther B. Del Brio & Javier Perote & Julio Pindado, 2003. "Measuring the Impact of Corporate Investment Announcements on Share Prices: The Spanish Experience," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(5‐6), pages 715-747, June.

    Cited by:

    1. Aloke Ghosh & Doocheol Moon & Kishore Tandon, 2007. "CEO Ownership and Discretionary Investments," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(5‐6), pages 819-839, June.
    2. Esther Brio & Javier Perote, 2007. "What Enhances Insider Trading Profitability?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 35(2), pages 173-188, June.
    3. Liang Li, 2012. "How Much Are Resource Projects Worth? A Capital Market Perspective," Economics Discussion / Working Papers 12-13, The University of Western Australia, Department of Economics.
    4. Imad Moosa & Sulaiman Al-Abduljader, 2010. "A test of the news model of stock price determination in an emerging market: the case of Kuwait," Applied Financial Economics, Taylor & Francis Journals, vol. 20(5), pages 397-405.
    5. Belén Díaz Díaz & Rebeca García‐Ramos & Myriam García Olalla, 2020. "Does regulating remuneration affect the market value of European Union banks? Large versus small/medium sized banks," Regulation & Governance, John Wiley & Sons, vol. 14(1), pages 150-164, January.
    6. Wi Saeng Kim & Esmeralda Lyn & Tae‐Jun Park & Edward Zychowicz, 2005. "The Wealth Effects of Capital Investment Decisions: An Empirical Comparison of Korean Chaebol and Non‐Chaebol Firms," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(5‐6), pages 945-971, June.
    7. Clara Cardone-Riportella & Myriam García-Olalla, 2021. "Changes to the regulation and the declaration of unfair terms in mortgage agreements: an event study approach to the Spanish Banking Industry," European Journal of Law and Economics, Springer, vol. 51(1), pages 157-181, February.
    8. Gökberk Can & Samet Günay & Murat Ocak, 2021. "How does size affect capital expenditures? Evidence from Borsa Istanbul," SN Business & Economics, Springer, vol. 1(1), pages 1-28, January.
    9. Maria Elisabete Duante Neves, 2017. "Payout and Firm's Catering," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 104-132.
    10. Mehdi Nekhili & Afifa Wali Siala & Dhikra Chebbi-Nehkili, 2009. "Free Cash Flow, gouvernance et politique financière des entreprises françaises," Revue Finance Contrôle Stratégie, revues.org, vol. 12(1), pages 5-31, March.
    11. Lozano, M. Belén & Yaman, Serhat, 2020. "The determinants of cash flow sensitivity of cash: The family ownership effect," Research in International Business and Finance, Elsevier, vol. 53(C).
    12. Saeed Akbar & Syed Zulfiqar Ali Shah & Issedeeq Saadi, 2008. "Stock market reaction to capital expenditure announcements by UK firms," Applied Financial Economics, Taylor & Francis Journals, vol. 18(8), pages 617-627.
    13. Julio Pindado & Chabela De La Torre, 2006. "The Role of Investment, Financing and Dividend Decisions in Explaining Corporate Ownership Structure: Empirical Evidence from Spain," European Financial Management, European Financial Management Association, vol. 12(5), pages 661-687, November.

  46. Juan Perote-Peña & Javier Perote, 2003. "The impossibility of strategy-proof clustering," Economics Bulletin, AccessEcon, vol. 4(23), pages 1-9.
    See citations under working paper version above.
  47. Del Brio, Esther B. & Miguel, Alberto & Perote, Javier, 2002. "An investigation of insider trading profits in the Spanish stock market," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(1), pages 73-94.

    Cited by:

    1. Mónica Melle, 2005. "¿Cómo valora el mercado de valores español la adopción de planes de opciones sobre acciones para directivos y consejeros?," Investigaciones Economicas, Fundación SEPI, vol. 29(1), pages 73-115, January.
    2. Esther B. Brio & Ilidio Lopes-e-Silva & Javier Perote, 2016. "Effects of opportunistic behaviors on security markets: an experimental approach to insider trading and earnings management," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(3), pages 379-402, December.
    3. Hodgson, Allan & Da Lim, Wei & Mi, Lin, 2018. "Insider sales vs. short selling: Negative information trading in Australia," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 72-83.
    4. Hans Degryse & Frank de Jong & Jérémie Lefebvre, 2009. "An Empirical Analysis of Legal Insider Trading in the Netherlands," CESifo Working Paper Series 2687, CESifo.
    5. Goergen, Marc & Renneboog, Luc & Zhao, Yang, 2019. "Insider trading and networked directors," Other publications TiSEM dd590177-d348-410e-a971-b, Tilburg University, School of Economics and Management.
    6. Yeon-Jin Sim & Jeongmin Kim & Jaehyeon Choi & Jun-Ho Huh, 2022. "System Design for Detecting Real Estate Speculation Abusing Inside Information: For the Fair Reallocation of Land," Land, MDPI, vol. 11(4), pages 1-17, April.
    7. Madura, Jeff & Marciniak, Marek, 2014. "Bidder country characteristics and informed trading in U.S. targets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 256-284.
    8. Lefebvre, Jérémie & Mazza, Paolo, 2023. "Advance disclosure of insider transactions: Empirical evidence from the Vietnamese stock market," International Review of Law and Economics, Elsevier, vol. 74(C).
    9. Esther Brio & Javier Perote, 2007. "What Enhances Insider Trading Profitability?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 35(2), pages 173-188, June.
    10. Mazza, Paolo & Wang, Shiyu, 2021. "Corporate legal insider trading in China: Performance and determinants," International Review of Law and Economics, Elsevier, vol. 68(C).
    11. Marius Cristian Milos & Laura Raisa Milos, 2017. "Regulation, Insider Trading And Stock Market Reaction. What Do We Know?," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 174-179, December.
    12. Cagdas Tahaoglu & Z. Nuray Guner, 2011. "An Investigation Of Returns To Insider Transactions: Evidence From The Istanbul Stock Exchange," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 25(1), pages 57-77.
    13. Ryu, Doojin & Yang, Heejin & Yu, Jinyoung, 2022. "Insider trading and information asymmetry: Evidence from the Korea Exchange," Emerging Markets Review, Elsevier, vol. 51(PA).
    14. Esther B. Del Brio & Alberto De Miguel, 2010. "Dividends and Market Signalling: an Analysis of Corporate Insider Trading," European Financial Management, European Financial Management Association, vol. 16(3), pages 480-497, June.
    15. Brajesh Kumar & Ajay Pandey, 2011. "Price Discovery in emerging commodity markets: Spot and Futures relationship in indian commodity Futures market," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 25(1), pages 79-121.
    16. Han-Ching Huang & Tammy Tran Chung, 2020. "The Information Content of Insider Silence in Vietnam Security Market," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 10(3), pages 1-9.
    17. Rebecca Pham & Marcel Ausloos, 2022. "Insider trading in the run‐up to merger announcements. Before and after the UK's Financial Services Act 2012," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3373-3385, July.
    18. Kaspar Dardas & Andre Güttler, 2011. "Are directors’ dealings informative? Evidence from European stock markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(2), pages 111-148, June.
    19. Eleftherios Thalassinos & Dimitrios Maditinos & Athanasios Paschalidis, 2012. "Observing evidence of insider trading in the Athens Stock Exchange," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 1(1), pages 1-26, December.
    20. Prashant Priyadarshi & Prabhat Kumar, 2024. "A comprehensive review on insider trading detection using artificial intelligence," Journal of Computational Social Science, Springer, vol. 7(2), pages 1645-1664, October.
    21. Shallu Arora & Meena Sharma & A. K. Vashisht, 2017. "Impact of managerial ability and firm-specific variables on insider’s abnormal returns," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 44(4), pages 275-286, December.
    22. Mazza, Paolo & Ruh, Benjamin, 2022. "The performance of corporate legal insider trading in the Korean market," International Review of Law and Economics, Elsevier, vol. 71(C).
    23. Julio Pindado & Chabela De La Torre, 2006. "The Role of Investment, Financing and Dividend Decisions in Explaining Corporate Ownership Structure: Empirical Evidence from Spain," European Financial Management, European Financial Management Association, vol. 12(5), pages 661-687, November.
    24. Esther Del Brio & Elida Maia-Ramires & Alberto De Miguel, 2011. "Ownership structure and diversification in a scenario of weak shareholder protection," Applied Economics, Taylor & Francis Journals, vol. 43(29), pages 4537-4547.

  48. Ignacio Mauleon & Javier Perote, 2000. "Testing densities with financial data: an empirical comparison of the Edgeworth-Sargan density to the Student's t," The European Journal of Finance, Taylor & Francis Journals, vol. 6(2), pages 225-239.

    Cited by:

    1. Lina Cortés & Juan M. Lozada & Javier Perote, 2019. "Firm size and concentration inequality: A flexible extension of Gibrat’s law," Documentos de Trabajo de Valor Público 17205, Universidad EAFIT.
    2. Niguez, Trino-Manuel & Perote, Javier, 2004. "Forecasting the density of asset returns," LSE Research Online Documents on Economics 6845, London School of Economics and Political Science, LSE Library.
    3. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2014. "VaR performance during the subprime and sovereign debt crises: An application to emerging markets," Emerging Markets Review, Elsevier, vol. 20(C), pages 23-41.
    4. Brenda Castillo-Brais & Ángel León & Juan Mora, 2022. "Estimating Value-at-Risk and Expected Shortfall: Do Polynomial Expansions Outperform Parametric Densities?," Mathematics, MDPI, vol. 10(22), pages 1-17, November.
    5. Jurczenko, Emmanuel & Maillet, Bertrand & Negrea, Bogdan, 2002. "Revisited multi-moment approximate option pricing models: a general comparison (Part 1)," LSE Research Online Documents on Economics 24950, London School of Economics and Political Science, LSE Library.
    6. Mauleon, Ignacio, 2003. "Financial densities in emerging markets: an application of the multivariate ES density," Emerging Markets Review, Elsevier, vol. 4(2), pages 197-223, June.
    7. Lina Cortés & Andrés Mora-Valencia & Javier Perote, 2017. "Measuring firm size distribution with semi-nonparametric densities," Documentos de Trabajo de Valor Público 15300, Universidad EAFIT.
    8. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2020. "Modeling electricity price and quantity uncertainty: An application for hedging with forward contracts," Documentos de Trabajo de Valor Público 18186, Universidad EAFIT.
    9. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.
    10. Ñíguez, Trino-Manuel & Perote, Javier, 2016. "Multivariate moments expansion density: Application of the dynamic equicorrelation model," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 216-232.
    11. Ñíguez, Trino-Manuel & Perote, Javier, 2017. "Moments expansion densities for quantifying financial risk," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 53-69.
    12. Lina M Cortés & Juan M Lozada & Javier Perote, 2021. "Firm size and economic concentration: An analysis from a lognormal expansion," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-21, July.
    13. Ignacio Mauleón, 2022. "Contributions to Risk Assessment with Edgeworth–Sargan Density Expansions (I): Stability Testing," Mathematics, MDPI, vol. 10(7), pages 1-18, March.
    14. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Has the interaction between skewness and kurtosis of asset returns information content for risk forecasting?," Finance Research Letters, Elsevier, vol. 49(C).
    15. Enrique Molina‐Muñoz & Andrés Mora‐Valencia & Javier Perote, 2021. "Backtesting expected shortfall for world stock index ETFs with extreme value theory and Gram–Charlier mixtures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4163-4189, July.
    16. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Semi-nonparametric risk assessment with cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 59(C).
    17. Lina M. Cortés & Andrés Mora-Valencia & Javier Perote, 2016. "The productivity of top researchers: a semi-nonparametric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 891-915, November.
    18. Trino-Manuel Ñíguez & Javier Perote, 2012. "Forecasting Heavy-Tailed Densities with Positive Edgeworth and Gram-Charlier Expansions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(4), pages 600-627, August.
    19. Juan F. Rendón & Lina M. Cortés & Javier Perote, 2023. "Prudential regulation and bank solvency based on flexible distributions: An example for evaluating the impact of monetary policy," The World Economy, Wiley Blackwell, vol. 46(9), pages 2780-2807, September.
    20. Ñíguez, Trino-Manuel & Paya, Ivan & Peel, David & Perote, Javier, 2012. "On the stability of the constant relative risk aversion (CRRA) utility under high degrees of uncertainty," Economics Letters, Elsevier, vol. 115(2), pages 244-248.
    21. Del Brio, Esther B. & Ñíguez, Trino-Manuel & Perote, Javier, 2011. "Multivariate semi-nonparametric distributions with dynamic conditional correlations," International Journal of Forecasting, Elsevier, vol. 27(2), pages 347-364.
    22. Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2017. "Multivariate approximations to portfolio return distribution," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 347-361, September.
    23. Del Brio, Esther B. & Ñíguez, Trino-Manuel & Perote, Javier, 2008. "Multivariate Gram-Charlier Densities," MPRA Paper 29073, University Library of Munich, Germany.
    24. Rendón, Juan F. & Trespalacios, Alfredo & Cortés, Lina M. & Villada-Medina, Hernán D., 2021. "Modelización de la demanda de energía eléctrica: más allá de la normalidad || Electrical energy demand modeling: beyond normality," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 32(1), pages 83-98, December.
    25. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2014. "Semi-nonparametric VaR forecasts for hedge funds during the recent crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 330-343.
    26. Alfredo Trespalacios & Lina M. Cortés & Javier Perote, 2019. "Modeling the electricity spot price with switching regime semi-nonparametric distributions," Documentos de Trabajo de Valor Público 17618, Universidad EAFIT.
    27. Meade, Nigel, 2010. "Oil prices -- Brownian motion or mean reversion? A study using a one year ahead density forecast criterion," Energy Economics, Elsevier, vol. 32(6), pages 1485-1498, November.
    28. Trespalacios, Alfredo & Cortés, Lina M. & Perote, Javier, 2020. "Uncertainty in electricity markets from a semi-nonparametric approach," Energy Policy, Elsevier, vol. 137(C).
    29. Inés Jiménez & Andrés Mora-Valencia & Javier Perote, 2022. "Dynamic selection of Gram–Charlier expansions with risk targets: an application to cryptocurrencies," Risk Management, Palgrave Macmillan, vol. 24(1), pages 81-99, March.
    30. Adcock, C J & Meade, N, 2017. "Using parametric classification trees for model selection with applications to financial risk management," European Journal of Operational Research, Elsevier, vol. 259(2), pages 746-765.
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