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Marco Migueis

Personal Details

First Name:Marco
Middle Name:
Last Name:Migueis
Suffix:
RePEc Short-ID:pmi547
[This author has chosen not to make the email address public]
https://sites.google.com/site/marcomigueis123/
Terminal Degree:2010 Economics Department; Massachusetts Institute of Technology (MIT) (from RePEc Genealogy)

Affiliation

Federal Reserve Board (Board of Governors of the Federal Reserve System)

Washington, District of Columbia (United States)
http://www.federalreserve.gov/
RePEc:edi:frbgvus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Filippo Curti & Marco Migueis, 2023. "The Information Value of Past Losses in Operational Risk," Finance and Economics Discussion Series 2023-003, Board of Governors of the Federal Reserve System (U.S.).
  2. Marco Migueis & Michael Suher & Jessie Xu, 2022. "Cost of Banking for LMI and Minority Communities," Finance and Economics Discussion Series 2022-040, Board of Governors of the Federal Reserve System (U.S.).
  3. Andrew Hawley & Marco Migueis, 2021. "Measuring the systemic importance of large US banks," FEDS Notes 2021-09-30, Board of Governors of the Federal Reserve System (U.S.).
  4. Alexander Jiron & Marco Migueis, 2020. "SRISKv2 - A Note," FEDS Notes 2020-09-18-2, Board of Governors of the Federal Reserve System (U.S.).
  5. Marco Migueis, 2020. "Regulatory Arbitrage in the Use of Insurance in the New Standardized Approach for Operational Risk Capital," FEDS Notes 2020-03-30, Board of Governors of the Federal Reserve System (U.S.).
  6. Filippo Curti & Marco Migueis & Rob T. Stewart, 2019. "Benchmarking Operational Risk Stress Testing Models," Finance and Economics Discussion Series 2019-038, Board of Governors of the Federal Reserve System (U.S.).
  7. Marco Migueis, 2018. "Is Operational Risk Regulation Forward-looking and Sensitive to Current Risks?," FEDS Notes 2018-05-21-2, Board of Governors of the Federal Reserve System (U.S.).
  8. Marco Migueis, 2017. "Forward-looking and Incentive-compatible Operational Risk Capital Framework," Finance and Economics Discussion Series 2017-087, Board of Governors of the Federal Reserve System (U.S.).
  9. Filippo Curti & Marco Migueis, 2016. "Predicting Operational Loss Exposure Using Past Losses," Finance and Economics Discussion Series 2016-2, Board of Governors of the Federal Reserve System (U.S.).
  10. Filippo Curti & Ibrahim Ergen & Minh Le & Marco Migueis & Rob T. Stewart, 2016. "Benchmarking Operational Risk Models," Finance and Economics Discussion Series 2016-070, Board of Governors of the Federal Reserve System (U.S.).

Articles

  1. Migueis, Marco & Jiron, Alexander, 2021. "SRISKv2 – A note," Economics Letters, Elsevier, vol. 201(C).
    • Alexander Jiron & Marco Migueis, 2020. "SRISKv2 - A Note," FEDS Notes 2020-09-18-2, Board of Governors of the Federal Reserve System (U.S.).
  2. Marco Migueis, 2019. "Evaluating the AMA and the new standardized approach for operational risk capital," Journal of Banking Regulation, Palgrave Macmillan, vol. 20(4), pages 302-311, December.
  3. Laura K. Gee & Marco Migueis & Sahar Parsa, 2017. "Redistributive choices and increasing income inequality: experimental evidence for income as a signal of deservingness," Experimental Economics, Springer;Economic Science Association, vol. 20(4), pages 894-923, December.
  4. Balla, Eliana & Ergen, Ibrahim & Migueis, Marco, 2014. "Tail dependence and indicators of systemic risk for large US depositories," Journal of Financial Stability, Elsevier, vol. 15(C), pages 195-209.
  5. Marco Migueis, 2013. "The Effect of Political Alignment on Transfers to Portuguese Municipalities," Economics and Politics, Wiley Blackwell, vol. 25(1), pages 110-133, March.

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. Filippo Curti & Marco Migueis, 2023. "The Information Value of Past Losses in Operational Risk," Finance and Economics Discussion Series 2023-003, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Lijun Liang & Tongxin Dai & Mengwan Zhang, 2024. "Generation mechanism of behavioral risk for organizational decision-makers in financial institutions: organizational and human errors," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.

  2. Filippo Curti & Marco Migueis & Rob T. Stewart, 2019. "Benchmarking Operational Risk Stress Testing Models," Finance and Economics Discussion Series 2019-038, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Til Schuermann, 2020. "Capital Adequacy Pre‐ and Postcrisis and the Role of Stress Testing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S1), pages 87-105, October.

  3. Marco Migueis, 2017. "Forward-looking and Incentive-compatible Operational Risk Capital Framework," Finance and Economics Discussion Series 2017-087, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Marco Migueis, 2019. "Evaluating the AMA and the new standardized approach for operational risk capital," Journal of Banking Regulation, Palgrave Macmillan, vol. 20(4), pages 302-311, December.

  4. Filippo Curti & Marco Migueis, 2016. "Predicting Operational Loss Exposure Using Past Losses," Finance and Economics Discussion Series 2016-2, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Filippo Curti & Marco Migueis & Rob T. Stewart, 2019. "Benchmarking Operational Risk Stress Testing Models," Finance and Economics Discussion Series 2019-038, Board of Governors of the Federal Reserve System (U.S.).
    2. Marco Migueis, 2019. "Evaluating the AMA and the new standardized approach for operational risk capital," Journal of Banking Regulation, Palgrave Macmillan, vol. 20(4), pages 302-311, December.

  5. Filippo Curti & Ibrahim Ergen & Minh Le & Marco Migueis & Rob T. Stewart, 2016. "Benchmarking Operational Risk Models," Finance and Economics Discussion Series 2016-070, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Farkas, Walter & Fringuellotti, Fulvia & Tunaru, Radu, 2020. "A cost-benefit analysis of capital requirements adjusted for model risk," Journal of Corporate Finance, Elsevier, vol. 65(C).
    2. Funke, Michael & Sun, Rongrong & Zhu, Linxu, 2018. "The credit risk of Chinese households: A micro-level assessment," BOFIT Discussion Papers 12/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    3. Denisa Banulescu & Christophe Hurlin & Jeremy Leymarie & O. Scaillet, 2019. "Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures," Swiss Finance Institute Research Paper Series 19-48, Swiss Finance Institute.
    4. Vaclav Broz & Lukas Pfeifer & Dominika Kolcunova, 2017. "Are the Risk Weights of Banks in the Czech Republic Procyclical? Evidence from Wavelet Analysis," Working Papers 2017/15, Czech National Bank.
    5. Mohammed Berkhouch & Fernanda Maria Müller & Ghizlane Lakhnati & Marcelo Brutti Righi, 2022. "Deviation-Based Model Risk Measures," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 527-547, February.
    6. Rosa Ferrentino & Luca Vota, 2022. "A Mathematical Model for the Pricing of Derivative Financial Products: the Role of the Banking Supervision and of the Model Risk," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 11(1), pages 1-2.
    7. Fernández-Aguado, Pilar Gómez & Martínez, Eduardo Trigo & Ruíz, Rafael Moreno & Ureña, Antonio Partal, 2022. "Evaluation of European Deposit Insurance Scheme funding based on risk analysis," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 234-247.
    8. Grundke, Peter & Pliszka, Kamil & Tuchscherer, Michael, 2019. "Model and estimation risk in credit risk stress tests," Discussion Papers 09/2019, Deutsche Bundesbank.
    9. Mehmet Sahiner & David G. McMillan & Dimos Kambouroudis, 2023. "Do artificial neural networks provide improved volatility forecasts: Evidence from Asian markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(3), pages 723-762, September.
    10. d’Addona, Stefano & Khanom, Najrin, 2022. "Estimating tail-risk using semiparametric conditional variance with an application to meme stocks," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 241-260.
    11. Li, Dan & Clements, Adam & Drovandi, Christopher, 2023. "A Bayesian approach for more reliable tail risk forecasts," Journal of Financial Stability, Elsevier, vol. 64(C).
    12. Dai, Yun-Shi & Dai, Peng-Fei & Zhou, Wei-Xing, 2023. "Tail dependence structure and extreme risk spillover effects between the international agricultural futures and spot markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    13. Seyfi, Seyed Mohammad Sina & Sharifi, Azin & Arian, Hamidreza, 2021. "Portfolio Value-at-Risk and expected-shortfall using an efficient simulation approach based on Gaussian Mixture Model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 1056-1079.
    14. Marina Brogi & Valentina Lagasio & Luca Riccetti, 2021. "Systemic risk measurement: bucketing global systemically important banks," Annals of Finance, Springer, vol. 17(3), pages 319-351, September.
    15. Carol Alexander & Michael Coulon & Yang Han & Xiaochun Meng, 2021. "Evaluating the Discrimination Ability of Proper Multivariate Scoring Rules," Papers 2101.12693, arXiv.org.
    16. Zhang, Ning & Gong, Yujing & Xue, Xiaohan, 2023. "Less disagreement, better forecasts: adjusted risk measures in the energy futures market," LSE Research Online Documents on Economics 118451, London School of Economics and Political Science, LSE Library.
    17. Malgorzata Mikita, 2022. "The Interrelationship Among Efficiency and Concentration of Banking System and its Stability: Evidence from Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 670-689.
    18. Laura Garcia-Jorcano & Lidia Sanchis-Marco, 2023. "Measuring Systemic Risk Using Multivariate Quantile-Located ES Models," Journal of Financial Econometrics, Oxford University Press, vol. 21(1), pages 1-72.
    19. Mariano González-Sánchez & Eva M. Ibáñez Jiménez & Ana I. Segovia San Juan, 2022. "Market and model risks: a feasible joint estimate methodology," Risk Management, Palgrave Macmillan, vol. 24(3), pages 187-213, September.
    20. Bevilacqua, Mattia & Tunaru, Radu & Vioto, Davide, 2020. "Options-based systemic risk, financial distress, and macroeconomic downturns," LSE Research Online Documents on Economics 118850, London School of Economics and Political Science, LSE Library.
    21. Pupentsova Svetlana V. & Gromova Elizaveta A., 2021. "Risk Management in Business Valuation in the Context of Digital Transformation," Real Estate Management and Valuation, Sciendo, vol. 29(2), pages 97-106, June.
    22. Huizinga, Harry, 2016. "How Relevant are the New Elements in the 2016 Stress Test Design?," Other publications TiSEM 66656866-bebb-49dc-a7ca-9, Tilburg University, School of Economics and Management.
    23. Kurter, Zeynep O., 2022. "How macroeconomic conditions affect systemic risk in the short and long-run?," The Warwick Economics Research Paper Series (TWERPS) 1407, University of Warwick, Department of Economics.
    24. Seyed Mohammad Sina Seyfi & Azin Sharifi & Hamidreza Arian, 2020. "Portfolio Risk Measurement Using a Mixture Simulation Approach," Papers 2011.07994, arXiv.org.
    25. Ning Zhang & Yujing Gong & Xiaohan Xue, 2023. "Less disagreement, better forecasts: Adjusted risk measures in the energy futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1332-1372, October.
    26. Kolari, James W. & López-Iturriaga, Félix J. & Sanz, Ivan Pastor, 2020. "Measuring systemic risk in the U.S. Banking system," Economic Modelling, Elsevier, vol. 91(C), pages 646-658.
    27. Tasneem Bani-Mustafa & Nicola Pedroni & Enrico Zio & Dominique Vasseur & Francois Beaudouin, 2020. "A hierarchical tree-based decision-making approach for assessing the relative trustworthiness of risk assessment models," Journal of Risk and Reliability, , vol. 234(6), pages 748-763, December.
    28. Marco Migueis, 2019. "Evaluating the AMA and the new standardized approach for operational risk capital," Journal of Banking Regulation, Palgrave Macmillan, vol. 20(4), pages 302-311, December.
    29. Belobrov, Angela, 2018. "Benchmark And Trend Analysis Of The Competition In Banking Sector," Management Strategies Journal, Constantin Brancoveanu University, vol. 42(4), pages 140-150.
    30. Evaggelia Siopi & Thomas Poufinas & James Ming Chen & Charalampos Agiropoulos, 2023. "Can Regulation Affect the Solvency of Insurers? New Evidence from European Insurers," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 29(1), pages 15-30, May.
    31. Pfeifer, Lukáš & Hodula, Martin, 2021. "A profit-to-provisioning approach to setting the countercyclical capital buffer," Economic Systems, Elsevier, vol. 45(1).
    32. Murphy, David & Vause, Nicholas, 2021. "A CBA of APC: analysing approaches to procyclicality reduction in CCP initial margin models," Bank of England working papers 950, Bank of England.
    33. Dridi, Ichrak & Boughrara, Adel, 2021. "On the effect of full-fledged IT adoption on stock returns and their conditional volatility: Evidence from propensity score matching," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 179-194.

Articles

  1. Laura K. Gee & Marco Migueis & Sahar Parsa, 2017. "Redistributive choices and increasing income inequality: experimental evidence for income as a signal of deservingness," Experimental Economics, Springer;Economic Science Association, vol. 20(4), pages 894-923, December.

    Cited by:

    1. Tongzhe Li & Bradley J. Ruffle, 2023. "Voting for income redistribution in a dynamic-income experiment," Department of Economics Working Papers 2023-02, McMaster University.
    2. Grosch, Kerstin & Ibañez, Marcela & Viceisza, Angelino, 2022. "Competition and prosociality: A lab-in-the-field experiment in Ghana," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).
    3. Abhijit Ramalingam & Brock V. Stoddard, 2021. "Does reducing inequality increase cooperation?​," GRU Working Paper Series GRU_2021_022, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    4. Nina Weber, 2023. "Prosocial Risk-Taking: Growing the Pie or Increasing your Slice?," ifo Working Paper Series 399, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    5. Lekfuangfu, Warn N. & Powdthavee, Nattavudh & Riyanto, Yohanes E., 2022. "Luck or Rights? An Experiment on Preferences for Redistribution Following Inheritance of Opportunity," IZA Discussion Papers 15125, Institute of Labor Economics (IZA).
    6. Guenther, Isabel & Tetteh-Baah, Samuel Kofi, 2019. "The impact of discrimination on redistributive preferences and productivity: experimental evidence from the United States," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203652, Verein für Socialpolitik / German Economic Association.
    7. Maité Laméris & Richard Jong-A-Pin & Rasmus Wiese, 2018. "An experimental test of the validity of survey-measured political ideology," Working Papers CEB 18-025, ULB -- Universite Libre de Bruxelles.
    8. Eckel, Catherine C. & Fatas, Enrique & Kass, Malcolm, 2022. "Sacrifice: An experiment on the political economy of extreme intergroup punishment," Journal of Economic Psychology, Elsevier, vol. 90(C).
    9. De Geest, Lawrence R. & Kidwai, Abdul H. & Portillo, Javier E., 2022. "Ours, not yours: Property rights, poaching and deterrence in common-pool resources," Journal of Economic Psychology, Elsevier, vol. 89(C).
    10. Pedro Rey-Biel & Roman Sheremeta & Neslihan Uler, 2015. "When Income Depends on Performance and Luck: The Effects of Culture and Information on Giving," Working Papers 15-12, Chapman University, Economic Science Institute.
    11. Tetteh-Baah, Samuel Kofi & Günther, Isabel, 2020. "The impact of gender and ethnic discrimination on redistribution and productivity," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224633, Verein für Socialpolitik / German Economic Association.
    12. David Hope & Julian Limberg & Nina Weber, 2023. "Technological Change, Task Complexity, and Preferences for Redistribution," ifo Working Paper Series 398, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    13. Bernasconi, Michele & Neunhoeffer, Frieder, 2023. "The income inequality trap: When redistributive preferences do not correct greater inequality," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    14. Ramalingam, Abhijit & Stoddard, Brock V., 2024. "Does reducing inequality increase cooperation?," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 170-183.
    15. Feltovich, Nick, 2019. "Is earned bargaining power more fully exploited?," Journal of Economic Behavior & Organization, Elsevier, vol. 167(C), pages 152-180.
    16. Gill, David & Prowse, Victoria, 2018. "Measuring costly effort using the slider task," CAGE Online Working Paper Series 382, Competitive Advantage in the Global Economy (CAGE).
    17. Hope, David & Limberg, Julian & Weber, Nina, 2023. "Why do (some) ordinary Americans support tax cuts for the rich? Evidence from a randomised survey experiment," European Journal of Political Economy, Elsevier, vol. 78(C).
    18. Buchanan, Joy A. & Roberts, Gavin, 2022. "Other people’s money: Preferences for equality in groups," European Journal of Political Economy, Elsevier, vol. 73(C).
    19. Hope, David & Limberg, Julian & Weber, Nina Sophie, 2021. "Why Do (Some) Ordinary Americans Support Tax Cuts for the Rich? Evidence From a Randomized Survey Experiment," SocArXiv chk9b, Center for Open Science.
    20. Grosch, Kerstin & Ibanez, Marcela & Viceisza, Angelino, 2017. "Competition and prosociality: A field experiment in Ghana," GlobalFood Discussion Papers 266141, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    21. Cardella, Eric & Roomets, Alex, 2022. "Pay distribution preferences and productivity effects: An experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    22. Abhijit Ramalingam & Brock V. Stoddard, 2020. "Old habits die hard: The experience of inequality and persistence of low cooperation," Working Papers 20-07, Department of Economics, Appalachian State University.
    23. Leo Ahrens, 2020. "Unfair Inequality and the Demand for Redistribution," LIS Working papers 771, LIS Cross-National Data Center in Luxembourg.
    24. Mago, Shakun D. & Pate, Jennifer & Razzolini, Laura, 2024. "Experimental evidence on the role of outside obligations in wage negotiations," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 528-548.
    25. Mercer, Antonio Carlos & Póvoa, Angela Cristiane Santos & Pech, Wesley, 2021. "The effect of luck framing on distributional preferences," Research in Economics, Elsevier, vol. 75(4), pages 320-329.
    26. Michele Bernasconi & Enrico Longo & Valeria Maggian, 2023. "When merit breeds luck (or not): an experimental study on distributive justice," Working Papers 2023:02, Department of Economics, University of Venice "Ca' Foscari".
    27. Grundmann, Susanna, 2020. "Do just deserts and competition shape patterns of cheating?," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-79-20, University of Passau, Faculty of Business and Economics.
    28. Koch, Christian & Nikiforakis, Nikos & Noussair, Charles N., 2021. "Covenants before the swords: The limits to efficient cooperation in heterogeneous groups," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 307-321.
    29. Christine L. Exley & Judd B. Kessler, 2018. "Equity Concerns are Narrowly Framed," NBER Working Papers 25326, National Bureau of Economic Research, Inc.
    30. Jain, Prachi & Lay, Margaret J., 2021. "Are informal transfers driven by strategic risk-sharing or fairness? Evidence from an experiment in Kenya," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 186-196.

  2. Balla, Eliana & Ergen, Ibrahim & Migueis, Marco, 2014. "Tail dependence and indicators of systemic risk for large US depositories," Journal of Financial Stability, Elsevier, vol. 15(C), pages 195-209.

    Cited by:

    1. Kreis, Yvonne & Leisen, Dietmar P.J., 2018. "Systemic risk in a structural model of bank default linkages," Journal of Financial Stability, Elsevier, vol. 39(C), pages 221-236.
    2. Yener Altunbas & Michiel van Leuvensteijn & David Marques-Ibanez, 2013. "Competition And Bank Risk: The Role Of Securitization And Bank Capital," Working Papers 13005, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    3. Xingxing Ye & Raphael Douady, 2018. "Systemic Risk Indicators Based on Nonlinear PolyModel," JRFM, MDPI, vol. 12(1), pages 1-24, December.
    4. Li, Jianping & Li, Jingyu & Zhu, Xiaoqian & Yao, Yinhong & Casu, Barbara, 2020. "Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S," International Review of Financial Analysis, Elsevier, vol. 71(C).
    5. Li, Jingyu & Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian, 2019. "Network-based estimation of systematic and idiosyncratic contagion: The case of Chinese financial institutions," Emerging Markets Review, Elsevier, vol. 40(C), pages 1-1.
    6. Torri, Gabriele & Giacometti, Rosella & Tichý, Tomáš, 2021. "Network tail risk estimation in the European banking system," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    7. Dahlqvist, Carl-Henrik & Gnabo, Jean-Yves, 2018. "Effective network inference through multivariate information transfer estimation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 376-394.
    8. Geraci, Marco Valerio & Gnabo, Jean-Yves, 2018. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying Vector Autoregressions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1371-1390, June.
    9. Martin Eling & David Antonius Pankoke, 2016. "Systemic Risk in the Insurance Sector: A Review and Directions for Future Research," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 19(2), pages 249-284, September.
    10. Y'erali Gandica & Sophie B'ereau & Jean-Yves Gnabo, 2019. "A multilevel analysis to systemic exposure: insights from local and system-wide information," Papers 1910.08611, arXiv.org.
    11. Xingxing Ye & Raphaël Douady, 2019. "Risk and Financial Management Article Systemic Risk Indicators Based on Nonlinear PolyModel," Post-Print hal-02488592, HAL.
    12. Arismendi-Zambrano, Juan & Belitsky, Vladimir & Sobreiro, Vinicius Amorim & Kimura, Herbert, 2022. "The implications of dependence, tail dependence, and bounds’ measures for counterparty credit risk pricing," Journal of Financial Stability, Elsevier, vol. 58(C).
    13. Weidong Tian & Azamat Abdymomunov & Ibrahim Ergen, 2017. "Tail Dependence and Systemic Risk in Operational Losses of the US Banking Industry," International Review of Finance, International Review of Finance Ltd., vol. 17(2), pages 177-204, June.
    14. Pankoke, David, 2014. "Sophisticated vs. Simple Systemic Risk Measures," Working Papers on Finance 1422, University of St. Gallen, School of Finance.
    15. Francesca Mariani & Gloria Polinesi & Maria Cristina Recchioni, 2022. "A tail-revisited Markowitz mean-variance approach and a portfolio network centrality," Computational Management Science, Springer, vol. 19(3), pages 425-455, July.
    16. Sophie Béreau & Nicolas Debarsy & Cyrille Dossougoin & Jean-Yves Gnabo, 2022. "Contagion in the Banking Industry: a Robust-to-Endogeneity Analysis," Working Papers halshs-03513049, HAL.
    17. Yang, Xin & Wen, Shigang & Zhao, Xian & Huang, Chuangxia, 2020. "Systemic importance of financial institutions: A complex network perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    18. Li, Guowen & Jing, Zhongbo & Li, Jingyu & Feng, Yuyao, 2023. "Drivers of risk correlation among financial institutions: A study based on a textual risk disclosure perspective," Economic Modelling, Elsevier, vol. 128(C).
    19. Fiordelisi, Franco & Ricci, Ornella & Santilli, Gianluca, 2023. "Environmental engagement and stock price crash risk: Evidence from the European banking industry," International Review of Financial Analysis, Elsevier, vol. 88(C).
    20. Umut Akovali, 2020. "Beyond Connectedness: A Covariance Decomposition based Network Risk Model," Koç University-TUSIAD Economic Research Forum Working Papers 2003, Koc University-TUSIAD Economic Research Forum.
    21. Dai, Zhifeng & Tang, Rui & Zhang, Xinhua, 2023. "Multilayer network analysis for measuring the inter-connectedness between the oil market and G20 stock markets," Energy Economics, Elsevier, vol. 120(C).
    22. Nguyen, Linh Hoang & Lambe, Brendan John, 2021. "International tail risk connectedness: Network and determinants," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    23. Kosmidou, Kyriaki & Kousenidis, Dimitrios & Ladas, Anestis & Negkakis, Christos, 2017. "Determinants of risk in the banking sector during the European Financial Crisis," Journal of Financial Stability, Elsevier, vol. 33(C), pages 285-296.
    24. Félix, Luiz & Kräussl, Roman & Stork, Philip, 2016. "The 2011 European short sale ban: A cure or a curse?," Journal of Financial Stability, Elsevier, vol. 25(C), pages 115-131.
    25. Giovanni De Luca & Paola Zuccolotto, 2021. "Regime dependent interconnectedness among fuzzy clusters of financial time series," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(2), pages 315-336, June.
    26. Linda Mhalla & Julien Hambuckers & Marie Lambert, 2022. "Extremal connectedness of hedge funds," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 988-1009, August.
    27. Altunbas, Yener & Marques-Ibanez, David & van Leuvensteijn, Michiel & Zhao, Tianshu, 2022. "Market power and bank systemic risk: Role of securitization and bank capital," Journal of Banking & Finance, Elsevier, vol. 138(C).
    28. Marco Valerio Geraci & Jean-Yves Gnabo, 2015. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying VARS," Working Papers ECARES ECARES 2015-51, ULB -- Universite Libre de Bruxelles.

  3. Marco Migueis, 2013. "The Effect of Political Alignment on Transfers to Portuguese Municipalities," Economics and Politics, Wiley Blackwell, vol. 25(1), pages 110-133, March.

    Cited by:

    1. Kantorowicz, Jarosław & Köppl-Turyna, Monika, 2017. "Disentangling fiscal effects of local constitutions," Working Papers 06, Agenda Austria.
    2. Leopoldo Fergusson & Arturo Harker & Carlos Molina & Juan Camilo Yamín, 2023. "Political incentives and corruption evidence from ghost students," Documentos CEDE 20732, Universidad de los Andes, Facultad de Economía, CEDE.
    3. Alexandru Savu, 2024. "Intergovernmental alignment and the electoral value of mayors: reverse coattails in an unexpected technocracy," Public Choice, Springer, vol. 200(1), pages 43-64, July.
    4. Kammas, Pantelis & Poulima, Maria & Sarantides, Vassilis, 2023. "Fueling the party machine: Evidence from Greece during Metapolitefsi," Explorations in Economic History, Elsevier, vol. 90(C).
    5. Bracco, Emanuele & Lockwood, Ben & Porcelli, Francesco & Redoano, Michela, 2015. "Intergovernmental grants as signals and the alignment effect: Theory and evidence," Journal of Public Economics, Elsevier, vol. 123(C), pages 78-91.
    6. Miguel Ángel Borrella Mas, 2015. "Partisan Alignment and Political Corruption. Theory and Evidence from Spain Job Market Paper," Working Papers. Serie AD 2015-07, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    7. Jennes, Geert & Persyn, Damiaan, 2015. "The effect of political representation on the geographic distribution of income: Evidence using Belgian data," European Journal of Political Economy, Elsevier, vol. 37(C), pages 178-194.
    8. Matuszak Piotr & Totleben Bartosz & Piątek Dawid, 2022. "Political alignment and the allocation of the COVID-19 response funds—evidence from municipalities in Poland," Economics and Business Review, Sciendo, vol. 8(1), pages 50-71, April.
    9. Christa N. Brunnschweiler & Samuel K. Obeng, 2023. "Rewarding allegiance: Political alignment and fiscal outcomes in local government," Discussion Papers 2023-14, Nottingham Interdisciplinary Centre for Economic and Political Research (NICEP).
    10. Felipe Carozzi & Luca Repetto, 2017. "Distributive Politics Inside the City? The Political Economy of Spain's Plan E," SERC Discussion Papers 0212, Centre for Economic Performance, LSE.
    11. Livert, Felipe & Gainza, Xabier & Acuña, Jose, 2019. "Paving the electoral way: Urban infrastructure, partisan politics and civic engagement," World Development, Elsevier, vol. 124(C), pages 1-1.
    12. Puscas, Georgiana, 2021. "When does the winner take more? The role of political alignment in transfers to Romanian municipalities," Warwick-Monash Economics Student Papers 05, Warwick Monash Economics Student Papers.
    13. Sergio Naruhiko Sakurai & Maria Isabel Accoroni Theodoro, 2020. "On the relationship between political alignment and government transfers: triple differences evidence from a developing country," Empirical Economics, Springer, vol. 58(3), pages 1107-1141, March.
    14. Ernesto Stein & Lorena Caro, 2017. "Ideology and Taxation in Latin America," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 1-27, April.
    15. Jekaterina Kuliomina, 2016. "Does Election of an Additional Female Councilor Increase Women's Candidacy in the Future?," CERGE-EI Working Papers wp559, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    16. Brice Fabre & Marc Sangnier, 2017. "What Motivates French Pork: Political Career Concerns or Private Connections?," Institut des Politiques Publiques halshs-01480532, HAL.
    17. Jekaterina Kuliomina, 2018. "Does Election of an Additional Female Councilor Increase Women's Candidacy in the Future?," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 15(1), pages 37-81, June.
    18. Marco Catola, 2019. "Partial decentralisation and inter-governmental electoral competition in local public good provision," Discussion Papers 2019/243, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    19. Muraközy, Balázs & Telegdy, Álmos, 2016. "Political incentives and state subsidy allocation: Evidence from Hungarian municipalities," European Economic Review, Elsevier, vol. 89(C), pages 324-344.
    20. Alexander Stoecker, 2021. "Partisan Alignment and Political Corruption: Evidence from a New Democracy," Volkswirtschaftliche Diskussionsbeiträge 192-21, Universität Siegen, Fakultät Wirtschaftswissenschaften, Wirtschaftsinformatik und Wirtschaftsrecht.
    21. Mª Teresa Balaguer-Coll & Isabel Narbón-Perpiñá & Jesús Peiró-Palomino & Emili Tortosa-Ausina, 2020. "Quality of government and economic growth at the municipal level: Evidence from Spain," Working Papers 2020/04, Economics Department, Universitat Jaume I, Castellón (Spain).
    22. Ilya A. Vaskin, 2020. "Buying Loyalty Of Voters Or Local Elites? Political Alignment And Transfers To Provinces In Tutelary Regimes: The Case Of Iran," HSE Working papers WP BRP 73/PS/2020, National Research University Higher School of Economics.
    23. Luisa Schneider & Daniela Wech & Matthias Wrede, 2022. "Political alignment and project funding," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(6), pages 1561-1589, December.
    24. Emanuele Bracco & Francesco Porcelli & Michela Redoano, 2013. "Incumbent Effects and Partisan Alignment in Local Elections: A Regression Discontinuity Analysis Using Italian Data," CESifo Working Paper Series 4061, CESifo.
    25. Kantorowicz, Jaroslaw, 2020. "Reverse Party Favoritism in Times of Pandemics: Evidence from Poland," OSF Preprints akbxj, Center for Open Science.
    26. Momi Dahan & Itamar Yakir, 2022. "Revealed political favoritism: evidence from the allocation of state lottery grants in Israel," Public Choice, Springer, vol. 190(3), pages 387-406, March.
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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 9 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-RMG: Risk Management (7) 2016-02-29 2016-09-04 2018-06-11 2019-07-22 2020-05-11 2020-10-05 2023-02-06. Author is listed
  2. NEP-BAN: Banking (4) 2017-09-03 2019-07-22 2021-11-01 2023-02-06
  3. NEP-CFN: Corporate Finance (4) 2016-02-29 2017-09-03 2019-07-22 2023-02-06
  4. NEP-CBA: Central Banking (2) 2017-09-03 2020-05-11
  5. NEP-BEC: Business Economics (1) 2021-11-01
  6. NEP-FMK: Financial Markets (1) 2019-07-22
  7. NEP-FOR: Forecasting (1) 2016-02-29
  8. NEP-GEN: Gender (1) 2020-05-11
  9. NEP-IAS: Insurance Economics (1) 2020-05-11
  10. NEP-IFN: International Finance (1) 2020-10-05
  11. NEP-ORE: Operations Research (1) 2019-07-22

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