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Michael Wolf

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Joseph P. Romano & Michael Wolf, 2014. "Resurrecting weighted least squares," ECON - Working Papers 172, Department of Economics - University of Zurich, revised Oct 2016.

    Mentioned in:

    1. Here's Your Reading List!
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2014-12-02 00:12:00

Working papers

  1. Elliot Beck & Gianluca De Nard & Michael Wolf, 2023. "Improved inference in financial factor models," ECON - Working Papers 430, Department of Economics - University of Zurich.

    Cited by:

    1. Gianluca De Nard & Robert F. Engle & Bryan Kelly, 2023. "Factor mimicking portfolios for climate risk," ECON - Working Papers 429, Department of Economics - University of Zurich, revised Mar 2024.

  2. Gianluca De Nard & Robert F. Engle & Olivier Ledoit & Michael Wolf, 2020. "Large dynamic covariance matrices: enhancements based on intraday data," ECON - Working Papers 356, Department of Economics - University of Zurich, revised Jan 2022.

    Cited by:

    1. Gianluca De Nard & Robert F. Engle & Bryan Kelly, 2023. "Factor mimicking portfolios for climate risk," ECON - Working Papers 429, Department of Economics - University of Zurich, revised Mar 2024.
    2. Bucci, Andrea & Palomba, Giulio & Rossi, Eduardo, 2023. "The role of uncertainty in forecasting volatility comovements across stock markets," Economic Modelling, Elsevier, vol. 125(C).
    3. Anatolyev, Stanislav & Pyrlik, Vladimir, 2022. "Copula shrinkage and portfolio allocation in ultra-high dimensions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    4. Wenyang Huang & Huiwen Wang & Shanshan Wang, 2021. "Dimension reduction of open-high-low-close data in candlestick chart based on pseudo-PCA," Papers 2103.16908, arXiv.org.
    5. Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 308-321.
    6. Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Attention to oil prices and its impact on the oil, gold and stock markets and their covariance," Energy Economics, Elsevier, vol. 120(C).
    7. Rafael Alves & Diego S. de Brito & Marcelo C. Medeiros & Ruy M. Ribeiro, 2023. "Forecasting Large Realized Covariance Matrices: The Benefits of Factor Models and Shrinkage," Papers 2303.16151, arXiv.org.
    8. Bongiorno, Christian & Challet, Damien, 2023. "Non-linear shrinkage of the price return covariance matrix is far from optimal for portfolio optimization," Finance Research Letters, Elsevier, vol. 52(C).
    9. De Nard, Gianluca & Zhao, Zhao, 2023. "Using, taming or avoiding the factor zoo? A double-shrinkage estimator for covariance matrices," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 23-35.

  3. Olivier Ledoit & Michael Wolf, 2019. "The power of (non-)linear shrinking: a review and guide to covariance matrix estimation," ECON - Working Papers 323, Department of Economics - University of Zurich, revised Feb 2020.

    Cited by:

    1. Taras Bodnar & Nestor Parolya & Erik Thors'en, 2022. "Two is better than one: Regularized shrinkage of large minimum variance portfolio," Papers 2202.06666, arXiv.org.
    2. Pier Francesco Procacci & Tomaso Aste, 2021. "Portfolio Optimization with Sparse Multivariate Modelling," Papers 2103.15232, arXiv.org.
    3. Ortiz, Roberto & Contreras, Mauricio & Mellado, Cristhian, 2023. "Regression, multicollinearity and Markowitz," Finance Research Letters, Elsevier, vol. 58(PC).
    4. Simon Hediger & Jeffrey Näf & Marc S. Paolella & Paweł Polak, 2023. "Heterogeneous tail generalized common factor modeling," Digital Finance, Springer, vol. 5(2), pages 389-420, June.
    5. Pier Francesco Procacci & Tomaso Aste, 2022. "Portfolio optimization with sparse multivariate modeling," Journal of Asset Management, Palgrave Macmillan, vol. 23(6), pages 445-465, October.
    6. Alexandru V. Asimit & Ioannis Kyriakou & Simone Santoni & Salvatore Scognamiglio & Rui Zhu, 2022. "Robust Classification via Support Vector Machines," Risks, MDPI, vol. 10(8), pages 1-25, August.
    7. Ruslan Tepelyan & Achintya Gopal, 2023. "Generative Machine Learning for Multivariate Equity Returns," Papers 2311.14735, arXiv.org.
    8. Khashanah, Khaldoun & Simaan, Majeed & Simaan, Yusif, 2022. "Do we need higher-order comoments to enhance mean-variance portfolios? Evidence from a simplified jump process," International Review of Financial Analysis, Elsevier, vol. 81(C).
    9. Sylvia Fruhwirth-Schnatter & Darjus Hosszejni & Hedibert Freitas Lopes, 2023. "When it counts -- Econometric identification of the basic factor model based on GLT structures," Papers 2301.06354, arXiv.org.
    10. Benoit Oriol & Alexandre Miot, 2023. "Ledoit-Wolf linear shrinkage with unknown mean," Papers 2304.07045, arXiv.org.

  4. Olivier Ledoit & Michael Wolf, 2018. "Robust performance hypothesis testing with smooth functions of population moments," ECON - Working Papers 305, Department of Economics - University of Zurich.

    Cited by:

    1. Markus Leippold & Hanlin Yang, 2023. "Mixed‐frequency predictive regressions with parameter learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 1955-1972, December.
    2. Symitsi, Efthymia & Markellos, Raphael N. & Mantrala, Murali K., 2022. "Keyword portfolio optimization in paid search advertising," European Journal of Operational Research, Elsevier, vol. 303(2), pages 767-778.
    3. Łęt Blanka & Sobański Konrad & Świder Wojciech & Włosik Katarzyna, 2022. "Is the cryptocurrency market efficient? Evidence from an analysis of fundamental factors for Bitcoin and Ethereum," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 58(4), pages 351-370, December.

  5. Gianluca De Nard & Olivier Ledoit & Michael Wolf, 2018. "Factor models for portfolio selection in large dimensions: the good, the better and the ugly," ECON - Working Papers 290, Department of Economics - University of Zurich, revised Dec 2018.

    Cited by:

    1. Lucien Boulet, 2021. "Forecasting High-Dimensional Covariance Matrices of Asset Returns with Hybrid GARCH-LSTMs," Papers 2109.01044, arXiv.org.
    2. Thomas Conlon & John Cotter & Iason Kynigakis, 2021. "Machine Learning and Factor-Based Portfolio Optimization," Papers 2107.13866, arXiv.org.
    3. Stanislav Anatolyev & Vladimir Pyrlik, 2021. "Shrinkage for Gaussian and t Copulas in Ultra-High Dimensions," CERGE-EI Working Papers wp699, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    4. Ameer Tamoor Khan & Xinwei Cao & Shuai Li, 2023. "Using Quadratic Interpolated Beetle Antennae Search for Higher Dimensional Portfolio Selection Under Cardinality Constraints," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1413-1435, December.
    5. Cipollini, Fabrizio & Gallo, Giampiero M. & Palandri, Alessandro, 2021. "A dynamic conditional approach to forecasting portfolio weights," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1111-1126.

  6. Olivier Ledoit & Michael Wolf, 2017. "Analytical nonlinear shrinkage of large-dimensional covariance matrices," ECON - Working Papers 264, Department of Economics - University of Zurich, revised Nov 2018.

    Cited by:

    1. Olivier Ledoit & Michael Wolf, 2019. "The power of (non-)linear shrinking: a review and guide to covariance matrix estimation," ECON - Working Papers 323, Department of Economics - University of Zurich, revised Feb 2020.
    2. Sven Husmann & Antoniya Shivarova & Rick Steinert, 2019. "Cross-validated covariance estimators for high-dimensional minimum-variance portfolios," Papers 1910.13960, arXiv.org, revised Oct 2020.
    3. Olivier Ledoit & Michael Wolf, 2019. "Shrinkage estimation of large covariance matrices: keep it simple, statistician?," ECON - Working Papers 327, Department of Economics - University of Zurich, revised Jun 2021.

  7. Stefan Bruder & Michael Wolf, 2017. "Balanced bootstrap joint confidence bands for structural impulse response functions," ECON - Working Papers 246, Department of Economics - University of Zurich, revised Jan 2018.

    Cited by:

    1. Kilian, Lutz & Inoue, Atsushi, 2020. "The Role of the Prior in Estimating VAR Models with Sign Restrictions," CEPR Discussion Papers 15545, C.E.P.R. Discussion Papers.
    2. Atsushi Inoue & Lutz Kilian, 2020. "Joint Bayesian Inference about Impulse Responses in VAR Models," Working Papers 2022, Federal Reserve Bank of Dallas.
    3. Lütkepohl, Helmut & Staszewska-Bystrova, Anna & Winker, Peter, 2020. "Constructing joint confidence bands for impulse response functions of VAR models – A review," Econometrics and Statistics, Elsevier, vol. 13(C), pages 69-83.
    4. Atsushi Inoue & Lutz Kilian, 2019. "The Uniform Validity of Impulse Response Inference in Autoregressions," Working Papers 1908, Federal Reserve Bank of Dallas.
    5. Micheli, Martin, 2019. "Labor market effects of minimum wage shocks," Ruhr Economic Papers 830, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2020. "Uniform Priors for Impulse Responses," Working Papers 22-30, Federal Reserve Bank of Philadelphia.
    7. Diego Fresoli, 2022. "Bootstrap VAR forecasts: The effect of model uncertainties," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 279-293, March.
    8. Lieb, Lenard & Smeekes, Stephan, 2017. "Inference for Impulse Responses under Model Uncertainty," Research Memorandum 022, Maastricht University, Graduate School of Business and Economics (GSBE).

  8. Olivier Ledoit & Michael Wolf, 2016. "Numerical implementation of the QuEST function," ECON - Working Papers 215, Department of Economics - University of Zurich, revised Jan 2017.

    Cited by:

    1. Zhao Zhao & Olivier Ledoit & Hui Jiang, 2019. "Risk reduction and efficiency increase in large portfolios: leverage and shrinkage," ECON - Working Papers 328, Department of Economics - University of Zurich, revised Jan 2020.
    2. Seonghun Cho & Shota Katayama & Johan Lim & Young-Geun Choi, 2021. "Positive-definite modification of a covariance matrix by minimizing the matrix $$\ell_{\infty}$$ ℓ ∞ norm with applications to portfolio optimization," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(4), pages 601-627, December.
    3. Ledoit, Olivier & Wolf, Michael, 2021. "Shrinkage estimation of large covariance matrices: Keep it simple, statistician?," Journal of Multivariate Analysis, Elsevier, vol. 186(C).
    4. Olivier Ledoit & Michael Wolf, 2019. "Shrinkage estimation of large covariance matrices: keep it simple, statistician?," ECON - Working Papers 327, Department of Economics - University of Zurich, revised Jun 2021.
    5. Robert F. Engle & Olivier Ledoit & Michael Wolf, 2016. "Large dynamic covariance matrices," ECON - Working Papers 231, Department of Economics - University of Zurich, revised Apr 2017.
    6. Moura, Guilherme V. & Santos, André A. P. & Ruiz Ortega, Esther, 2019. "Comparing Forecasts of Extremely Large Conditional Covariance Matrices," DES - Working Papers. Statistics and Econometrics. WS 29291, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Anatolyev, Stanislav & Pyrlik, Vladimir, 2022. "Copula shrinkage and portfolio allocation in ultra-high dimensions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    8. da Costa, B. Freitas Paulo & Pesenti, Silvana M. & Targino, Rodrigo S., 2023. "Risk budgeting portfolios from simulations," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1040-1056.
    9. Bernardo Freitas Paulo da Costa & Silvana M. Pesenti & Rodrigo S. Targino, 2023. "Risk Budgeting Portfolios from Simulations," Papers 2302.01196, arXiv.org.
    10. Carlos Trucíos & Mauricio Zevallos & Luiz K. Hotta & André A. P. Santos, 2019. "Covariance Prediction in Large Portfolio Allocation," Econometrics, MDPI, vol. 7(2), pages 1-24, May.
    11. Olivier Ledoit & Michael Wolf, 2019. "Quadratic shrinkage for large covariance matrices," ECON - Working Papers 335, Department of Economics - University of Zurich, revised Dec 2020.
    12. Maaz Mahadi & Tarig Ballal & Muhammad Moinuddin & Tareq Y. Al-Naffouri & Ubaid Al-Saggaf, 2022. "Portfolio Optimization Using a Consistent Vector-Based MSE Estimation Approach," Papers 2204.05611, arXiv.org.
    13. Joel Bun & Jean-Philippe Bouchaud & Marc Potters, 2016. "Cleaning large correlation matrices: tools from random matrix theory," Papers 1610.08104, arXiv.org.
    14. Moura, Guilherme V. & Santos, André A.P. & Ruiz, Esther, 2020. "Comparing high-dimensional conditional covariance matrices: Implications for portfolio selection," Journal of Banking & Finance, Elsevier, vol. 118(C).

  9. Olivier Ledoit & Michael Wolf & Zhao Zhao, 2016. "Efficient Sorting: A More Powerful Test for Cross-Sectional Anomalies," ECON - Working Papers 238, Department of Economics - University of Zurich, revised May 2018.

    Cited by:

    1. van Zundert, Jeroen, 2018. "Empirical studies on the cross-section of corporate bond and stock markets," Other publications TiSEM 338205fc-a031-4e06-a636-9, Tilburg University, School of Economics and Management.

  10. Joseph P. Romano & Michael Wolf, 2016. "Efficient computation of adjusted p-values for resampling-based stepdown multiple testing," ECON - Working Papers 219, Department of Economics - University of Zurich.

    Cited by:

    1. Alexander Cappelen & Ranveig Falch & Bertil Tungodden, 2019. "The Boy Crisis: Experimental Evidence on the Acceptance of Males Falling Behind," Working Papers 2019-014, Human Capital and Economic Opportunity Working Group.
    2. Gabriella Conti & Stavros Poupakis & Peter Ekamper & Govert Bijwaard & L. H. Lumey, 2021. "Severe Prenatal Shocks and Adolescent Health: Evidence from the Dutch Hunger Winter," Working Papers 2021-056, Human Capital and Economic Opportunity Working Group.
    3. Cappelen, Alexander W. & Falch, Ranveig & Huang, Zhongjing & Tungodden, Bertil, 2022. "Acceptance of inequality between children: Large-Scale Experimental Evidence from China and Norway," Discussion Paper Series in Economics 10/2022, Norwegian School of Economics, Department of Economics.
    4. Adriano Koshiyama & Sebastian Flennerhag & Stefano B. Blumberg & Nick Firoozye & Philip Treleaven, 2020. "QuantNet: Transferring Learning Across Systematic Trading Strategies," Papers 2004.03445, arXiv.org, revised Jun 2020.
    5. Paul Dolan & Christian Krekel & Helen Lee & Claire Marshall & Ganga Shreedhar & Allison Smith, 2021. "Happy to help: The welfare effects of a nationwide micro-volunteering programme," CEP Discussion Papers dp1772, Centre for Economic Performance, LSE.
    6. Hermes, Henning & Mierisch, Fabian & Peter, Frauke & Wiederhold, Simon & Lergetporer, Philipp, 2023. "Discrimination on the Child Care Market: A Nationwide Field Experiment," IZA Discussion Papers 16082, Institute of Labor Economics (IZA).
    7. Sebastian O. Schneider & Matthias Sutter, 2020. "Higher Order Risk Preferences: New Experimental Measures, Determinants and Field Behavior," CESifo Working Paper Series 8544, CESifo.
    8. Rute M. Caeiro & Pedro C. Vicente, 2020. "Knowledge of vitamin A deficiency and crop adoption: Evidence from a field experiment in Mozambique," Agricultural Economics, International Association of Agricultural Economists, vol. 51(2), pages 175-190, March.
    9. Naveen Sunder, 2019. "Marriage Age, Social Status, and Intergenerational Effects in Uganda," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2123-2146, December.
    10. Pierre-André Chiappori & Monica Costa Dias & Sam Crossman & Costas Meghir, 2020. "Changes in Assortative Matching and Inequality in Income: Evidence for the UK," NBER Working Papers 26933, National Bureau of Economic Research, Inc.
    11. Falch, Ranveig, 2021. "How Do People Trade Off Resources Between Quick and Slow Learners?," Discussion Paper Series in Economics 5/2021, Norwegian School of Economics, Department of Economics.
    12. Jaschke Philipp & Sulin Sardoschau & Marco Tabellini, 2021. "Scared Straight? Threat and Assimilation of Refugees in Germany," RF Berlin - CReAM Discussion Paper Series 2136, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    13. Weber, Michael & Candia, Bernardo & Coibion, Olivier & Gorodnichenko, Yuriy, 2023. "Do You Even Crypto, Bro? Cryptocurrencies in Household Finance," IZA Discussion Papers 16335, Institute of Labor Economics (IZA).
    14. Clarke, Damian & Cortés, Gustavo & Vergara, Diego, 2017. "Growing Together: Assessing Equity and Effciency in an Early-Life Health Program in Chile," Research Department working papers 1139, CAF Development Bank Of Latinamerica.
    15. Huebener, Mathias & Kuehnle, Daniel & Spiess, C. Katharina, 2019. "Parental leave policies and socio-economic gaps in child development: Evidence from a substantial benefit reform using administrative data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 61.
    16. Del Boca, Daniela & Biroli, Pietro & Heckman, James & Heckman, Lynne Pettler & Kuperman, Sylvi & Moktan, Sidharth & Pronzato, Chiara & Koh, Yu Kyung & Ziff, Anna, 2017. "Evaluation of the Reggio Approach to Early Education," CEPR Discussion Papers 12031, C.E.P.R. Discussion Papers.
    17. Orazio Attanasio & Helen Baker-Henningham & Raquel Bernal & Costas Meghir & Diana Pineda & Marta Rubio-Codina, 2022. "Early Stimulation and Nutrition: The Impacts of a Scalable Intervention," Journal of the European Economic Association, European Economic Association, vol. 20(4), pages 1395-1432.
    18. Malte Sandner & Thomas Cornelissen & Tanja Jungmann & Peggy Herrmann, 2017. "Evaluating the Effects of a Targeted Home Visiting Program on Maternal and Child Health Outcomes," Working Papers 2017-031, Human Capital and Economic Opportunity Working Group.
    19. Wei Wei & Asger Lunde, 2023. "Identifying Risk Factors and Their Premia: A Study on Electricity Prices," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1647-1679.
    20. Hermes, Henning & Lergetporer, Philipp & Mierisch, Fabian & Peter, Frauke & Wiederhold, Simon, 2024. "Discrimination in Universal Social Programs? A Nationwide Field Experiment on Access to Child Care," IWH Discussion Papers 12/2023, Halle Institute for Economic Research (IWH), revised 2024.
    21. Grácio, Matilde & Vicente, Pedro C., 2021. "Information, get-out-the-vote messages, and peer influence: Causal effects on political behavior in Mozambique," Journal of Development Economics, Elsevier, vol. 151(C).
    22. Heath, Davidson & Ringgenberg, Matthew C. & Samadi, Mehrdad & Werner, Ingrid M., 2019. "Reusing Natural Experiments," Working Paper Series 2019-21, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    23. Giaccherini, Matilde & Kopinska, Joanna & Palma, Alessandro, 2021. "When particulate matter strikes cities: Social disparities and health costs of air pollution," Journal of Health Economics, Elsevier, vol. 78(C).
    24. Philipp Jaschke & Sulin Sardoschau & Marco Tabellini, 2023. "Scared Straight? Threat and Assimilation of Refugees in Germany," Rationality and Competition Discussion Paper Series 384, CRC TRR 190 Rationality and Competition.
    25. Crossley, T.F.; Zilio, F.;, 2017. "The Health Benefits of a Targeted Cash Transfer:The UK Winter Fuel Payment," Health, Econometrics and Data Group (HEDG) Working Papers 17/23, HEDG, c/o Department of Economics, University of York.
    26. Hoffmann, Vivian & Rao, Vijayendra & Surendra, Vaishnavi & Datta, Upamanyu, 2021. "Relief from usury: Impact of a self-help group lending program in rural India," Journal of Development Economics, Elsevier, vol. 148(C).
    27. Fracchia, Mattia & Molina-Millán, Teresa & Vicente, Pedro C., 2023. "Motivating volunteer health workers in an African capital city," Journal of Development Economics, Elsevier, vol. 163(C).
    28. Lucas Fievet & Didier Sornette, 2018. "Calibrating emergent phenomena in stock markets with agent based models," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    29. Patterson, Richard W., 2018. "Can behavioral tools improve online student outcomes? Experimental evidence from a massive open online course," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 293-321.
    30. Bui, Dien Giau & Hasan, Iftekhar & Lin, Chih-Yung & Nguyen, Hong Thoa, 2023. "Short-selling threats and bank risk-taking: Evidence from the financial crisis," Journal of Banking & Finance, Elsevier, vol. 150(C).
    31. Henning Hermes & Philipp Lergetporer & Frauke Peter & Simon Wiederhold, 2021. "Behavioral Barriers and the Socioeconomic Gap in Child Care Enrollment," Munich Papers in Political Economy 15, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    32. Hermes, Henning & Krauß, Marina & Lergetporer, Philipp & Peter, Frauke & Wiederhold, Simon, 2022. "Early Child Care and Labor Supply of Lower-SES Mothers: A Randomized Controlled Trial," IZA Discussion Papers 15814, Institute of Labor Economics (IZA).
    33. Federico Belotti & Joanna Kopinska & Alessandro Palma & Andrea Piano Mortari, 2022. "Health status and the Great Recession. Evidence from electronic health records," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1770-1799, August.
    34. Lénárd, Tünde & Horn, Dániel & Kiss, Hubert János, 2020. "Does politicizing ‘gender’ influence the possibility of conducting academic research? Evidence from a randomized controlled trial," Economics Letters, Elsevier, vol. 189(C).
    35. Borga, Liyousew G. & Münich, Daniel & Kukla, Lubomir, 2021. "The socioeconomic gradient in child health and noncognitive skills: Evidence from the Czech Republic," Economics & Human Biology, Elsevier, vol. 43(C).
    36. Livia Alfonsi & Oriana Bandiera & Vittorio Bassi & Robin Burgess & Imran Rasul & Munshi Sulaiman & Anna Vitali, 2020. "Tackling Youth Unemployment: Evidence From a Labor Market Experiment in Uganda," Econometrica, Econometric Society, vol. 88(6), pages 2369-2414, November.
    37. Rocío Álvarez-Aranda & Serafima Chirkova & José Gabriel Romero, 2018. "Growing in the Womb: The Effect of Seismic Activity on Fetal Growth," Working Papers 2018.30, Fondazione Eni Enrico Mattei.
    38. Talamas Marcos, Miguel Ángel, 2023. "Grandmothers and the gender gap in the Mexican labor market," Journal of Development Economics, Elsevier, vol. 162(C).
    39. Bandiera, Oriana & Burgess, Robin & Deserranno, Erika & Morel, Ricardo & Sulaiman, Munshi & Rasul, Imran, 2023. "Social incentives, delivery agents, and the effectiveness of development interventions," LSE Research Online Documents on Economics 117653, London School of Economics and Political Science, LSE Library.
    40. Hermes, Henning & Lergetporer, Philipp & Peter, Frauke & Wiederhold, Simon, 2024. "Application Barriers and the Socioeconomic Gap in Child Care Enrollment," IZA Discussion Papers 16915, Institute of Labor Economics (IZA).
    41. Pierre-Andre Chiappori & Monica Costa Dias & Costas Meghir, 2020. "Changes in Assortative Matching: Theory and Evidence for the US," Cowles Foundation Discussion Papers 2226, Cowles Foundation for Research in Economics, Yale University.
    42. Castro, Juan F. & Glewwe, Paul & Heredia-Mayo, Alexandra & Montero, Ricardo, 2021. "Work with What You’ve Got: Improving Teachers’ pedagogical Skills at Scale in Rural Peru," Staff Papers 316662, University of Minnesota, Department of Applied Economics.
    43. Santos, Indhira & Petroska-Beska, Violeta & Carneiro, Pedro & Eskreis-Winkler, Lauren & Boudet, Ana Maria Munoz & Berniell, Ines & Krekel, Christian & Arias, Omar & Duckworth, Angela Lee, 2022. "Can Grit Be Taught? Lessons from a Nationwide Field Experiment with Middle-School Students," IZA Discussion Papers 15588, Institute of Labor Economics (IZA).
    44. Braun, Matías & Gallego, Francisco & Soares, Rodrigo R., 2023. "Come Out and Play: Public Space Recovery, Social Capital, and Citizen Security," IZA Discussion Papers 16269, Institute of Labor Economics (IZA).
    45. Francesco Bogliacino & Valeria Cirillo & Cristiano Codagnone & Marta Fana & Francisco Lupiáñez-Villanueva & Giuseppe A Veltri, 2019. "Shaping Individual Preferences for Social Protection: The Case of Platform Workers," Documentos de Trabajo, Escuela de Economía 17293, Universidad Nacional de Colombia, FCE, CID.
    46. Deborah A. Cobb-Clark & Sarah C. Dahmann & Daniel A. Kamhöfer & Hannah Schildberg-Hörisch, 2019. "Self-Control: Determinants, Life Outcomes and Intergenerational Implications," SOEPpapers on Multidisciplinary Panel Data Research 1047, DIW Berlin, The German Socio-Economic Panel (SOEP).
    47. Daniela Collazos & Leopoldo Fergusson & Miguel La Rota & Daniel Mejía & Daniel Ortega, 2020. "CSI in the tropics: Experimental evidence of improved public service delivery through coordination," Documentos de Trabajo 18215, The Latin American and Caribbean Economic Association (LACEA).
    48. Eva M. Berger & Ernst Fehr & Henning Hermes & Daniel Schunk & Kirsten Winkel, 2020. "The impact of working memory training on children’s cognitive and noncognitive skills," ECON - Working Papers 347, Department of Economics - University of Zurich, revised Jan 2024.
    49. Chisadza, Carolyn & Nicholls, Nicky & Yitbarek, Eleni, 2019. "Race and gender biases in student evaluations of teachers," Economics Letters, Elsevier, vol. 179(C), pages 66-71.
    50. Jorge Luis García & James J. Heckman & Duncan Ermini Leaf & María José Prados, 2020. "Quantifying the Life-Cycle Benefits of an Influential Early-Childhood Program," Journal of Political Economy, University of Chicago Press, vol. 128(7), pages 2502-2541.
    51. Alec Brandon & Justin E. Holz & Andrew Simon & Haruka Uchida, 2023. "Minimum Wages and Racial Discrimination in Hiring: Evidence from a Field Experiment," Upjohn Working Papers 23-389, W.E. Upjohn Institute for Employment Research.
    52. Díaz, Juan-José & Saldarriaga, Victor, 2023. "A drop of love? Rainfall shocks and spousal abuse: Evidence from rural Peru," Journal of Health Economics, Elsevier, vol. 89(C).
    53. Thibaut Arpinon & Romain Espinosa, 2023. "A practical guide to Registered Reports for economists," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 9(1), pages 90-122, June.
    54. Tim Ölkers & Oliver Mußhoff, 2024. "Exploring the role of interest rates, macroeconomic environment, agricultural cycle, and gender on loan demand in the agricultural sector: Evidence from Mali," Agribusiness, John Wiley & Sons, Ltd., vol. 40(2), pages 484-512, April.
    55. Cappelen, Alexander W. & Falch, Ranveig & Sørensen, Erik Ø. & Tungodden, Bertil, 2020. "Solidarity and Fairness in Times of Crisis," Discussion Paper Series in Economics 6/2020, Norwegian School of Economics, Department of Economics.
    56. Godøy, Anna & Huitfeldt, Ingrid, 2020. "Regional variation in health care utilization and mortality," Journal of Health Economics, Elsevier, vol. 71(C).
    57. Denteh, Augustine & Asare, Samuel & Senadza, Bernardin, 2022. "Is four better than three? The effect of the 4-year high school policy on academic performance in Ghana," SocArXiv jh9q6, Center for Open Science.
    58. Jorge Luis García & James J. Heckman & Anna L. Ziff, 2017. "Gender Differences in the Benefits of an Influential Early Childhood Program," NBER Working Papers 23412, National Bureau of Economic Research, Inc.
    59. Saboe, Matt & Terrizzi, Sabrina, 2019. "SAT optional policies: Do they influence graduate quality, selectivity or diversity?," Economics Letters, Elsevier, vol. 174(C), pages 13-17.
    60. Chong, Alberto & Yáñez-Pagans, Monica, 2019. "Not so fast! Cash transfers can increase child labor: Evidence for Bolivia," Economics Letters, Elsevier, vol. 179(C), pages 57-61.
    61. van Rooij, Maarten & Coibion, Olivier & Georgarakos, Dimitris & Candia, Bernardo & Gorodnichenko, Yuriy, 2024. "Keeping Up with the Jansens: Causal Peer Effects on Household Spending, Beliefs and Happiness," IZA Discussion Papers 16769, Institute of Labor Economics (IZA).
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    48. Yfanti, Stavroula & Karanasos, Menelaos & Zopounidis, Constantin & Christopoulos, Apostolos, 2023. "Corporate credit risk counter-cyclical interdependence: A systematic analysis of cross-border and cross-sector correlation dynamics," European Journal of Operational Research, Elsevier, vol. 304(2), pages 813-831.
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    72. Rafael Alves & Diego S. de Brito & Marcelo C. Medeiros & Ruy M. Ribeiro, 2023. "Forecasting Large Realized Covariance Matrices: The Benefits of Factor Models and Shrinkage," Papers 2303.16151, arXiv.org.
    73. Paolella, Marc S. & Polak, Paweł & Walker, Patrick S., 2021. "A non-elliptical orthogonal GARCH model for portfolio selection under transaction costs," Journal of Banking & Finance, Elsevier, vol. 125(C).
    74. M. Raddant & T. Di Matteo, 2023. "A look at financial dependencies by means of econophysics and financial economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(4), pages 701-734, October.
    75. Khashanah, Khaldoun & Simaan, Majeed & Simaan, Yusif, 2022. "Do we need higher-order comoments to enhance mean-variance portfolios? Evidence from a simplified jump process," International Review of Financial Analysis, Elsevier, vol. 81(C).
    76. Golosnoy, Vasyl & Gribisch, Bastian, 2022. "Modeling and forecasting realized portfolio weights," Journal of Banking & Finance, Elsevier, vol. 138(C).
    77. De Nard, Gianluca & Zhao, Zhao, 2022. "A large-dimensional test for cross-sectional anomalies:Efficient sorting revisited," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 654-676.
    78. Jan Patrick Hartkopf, 2023. "Composite forecasting of vast-dimensional realized covariance matrices using factor state-space models," Empirical Economics, Springer, vol. 64(1), pages 393-436, January.
    79. Laura Liu & Christian Matthes & Katerina Petrova & Jessica Sackett Romero, 2019. "Monetary Policy across Space and Time," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, issue August.
    80. Cheng Yu & Dong Li & Feiyu Jiang & Ke Zhu, 2023. "Matrix GARCH Model: Inference and Application," Papers 2306.05169, arXiv.org.
    81. Yan Zhang & Jiyuan Tao & Zhixiang Yin & Guoqiang Wang, 2022. "Improved Large Covariance Matrix Estimation Based on Efficient Convex Combination and Its Application in Portfolio Optimization," Mathematics, MDPI, vol. 10(22), pages 1-15, November.
    82. Anja Vinzelberg & Benjamin R. Auer, 2022. "Unprofitability of food market investments," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2887-2910, October.
    83. Qiao, W. & Bu, D. & Gibberd, A. & Liao, Y. & Wen, T. & Li, E., 2023. "When “time varying” volatility meets “transaction cost” in portfolio selection," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 220-237.
    84. Pietro Coretto & Michele La Rocca & Giuseppe Storti, 2020. "Improving Many Volatility Forecasts Using Cross-Sectional Volatility Clusters," JRFM, MDPI, vol. 13(4), pages 1-23, March.
    85. Li, Degui, 2024. "Estimation of Large Dynamic Covariance Matrices: A Selective Review," Econometrics and Statistics, Elsevier, vol. 29(C), pages 16-30.
    86. Dong, Yingjie & Tse, Yiu-Kuen, 2020. "Forecasting large covariance matrix with high-frequency data using factor approach for the correlation matrix," Economics Letters, Elsevier, vol. 195(C).
    87. Sven Husmann & Antoniya Shivarova & Rick Steinert, 2021. "Cross-validated covariance estimators for high-dimensional minimum-variance portfolios," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(3), pages 309-352, September.
    88. Gianluca De Nard & Simon Hediger & Markus Leippold, 2022. "Subsampled factor models for asset pricing: The rise of Vasa," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1217-1247, September.
    89. Bongiorno, Christian & Challet, Damien, 2023. "Non-linear shrinkage of the price return covariance matrix is far from optimal for portfolio optimization," Finance Research Letters, Elsevier, vol. 52(C).
    90. Chuting Sun & Qi Wu & Xing Yan, 2023. "Dynamic CVaR Portfolio Construction with Attention-Powered Generative Factor Learning," Papers 2301.07318, arXiv.org, revised Jan 2024.
    91. De Nard, Gianluca & Zhao, Zhao, 2023. "Using, taming or avoiding the factor zoo? A double-shrinkage estimator for covariance matrices," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 23-35.
    92. Kwangmin Jung & Donggyu Kim & Seunghyeon Yu, 2021. "Next Generation Models for Portfolio Risk Management: An Approach Using Financial Big Data," Papers 2102.12783, arXiv.org, revised Feb 2022.
    93. Wang, Hanchao & Peng, Bin & Li, Degui & Leng, Chenlei, 2021. "Nonparametric estimation of large covariance matrices with conditional sparsity," Journal of Econometrics, Elsevier, vol. 223(1), pages 53-72.
    94. Sylvia Gottschalk, 2023. "From Black Wednesday to Brexit: Macroeconomic shocks and correlations of equity returns in France, Germany, Italy, Spain, and the United Kingdom," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2843-2873, July.
    95. Cipollini, Fabrizio & Gallo, Giampiero M. & Palandri, Alessandro, 2021. "A dynamic conditional approach to forecasting portfolio weights," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1111-1126.
    96. Moura, Guilherme V. & Santos, André A.P. & Ruiz, Esther, 2020. "Comparing high-dimensional conditional covariance matrices: Implications for portfolio selection," Journal of Banking & Finance, Elsevier, vol. 118(C).
    97. Grønborg, Niels S. & Lunde, Asger & Olesen, Kasper V. & Vander Elst, Harry, 2022. "Realizing correlations across asset classes," Journal of Financial Markets, Elsevier, vol. 59(PA).

  12. Ashok Kaul & Michael Wolf, 2014. "The (possible) effect of plain packaging on smoking prevalence in Australia: a trend analysis," ECON - Working Papers 165, Department of Economics - University of Zurich.

    Cited by:

    1. André Bonfrer & Pradeep K. Chintagunta & John H. Roberts & David Corkindale, 2020. "Assessing the Sales Impact of Plain Packaging Regulation for Cigarettes: Evidence from Australia," Marketing Science, INFORMS, vol. 39(1), pages 234-252, January.

  13. Joseph P. Romano & Michael Wolf, 2014. "Resurrecting weighted least squares," ECON - Working Papers 172, Department of Economics - University of Zurich, revised Oct 2016.

    Cited by:

    1. David Cronin & Kieran McQuinn, 2023. "The housing net worth channel and the public finances: evidence from a European country panel," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(5), pages 1251-1265, October.
    2. Martin Meermeyer, 2015. "Weighted linear regression models with fixed weights and spherical disturbances," Computational Statistics, Springer, vol. 30(4), pages 929-955, December.
    3. Tetsuya Kaji, 2019. "Theory of Weak Identification in Semiparametric Models," Papers 1908.10478, arXiv.org, revised Aug 2020.
    4. Richard Spady & Sami Stouli, 2018. "Simultaneous mean-variance regression," CeMMAP working papers CWP25/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Carlisle E. Moody & Thomas B. Marvell, 2019. "Do Right to Carry Laws Increase Violent Crime? A Comment on Donohue, Aneja, and Weber," Econ Journal Watch, Econ Journal Watch, vol. 16(1), pages 1-84–96, March.
    6. Sanchez, Luis F. & Stern, David I., 2016. "Drivers of industrial and non-industrial greenhouse gas emissions," Ecological Economics, Elsevier, vol. 124(C), pages 17-24.
    7. Beck, Elliot & De Nard, Gianluca & Wolf, Michael, 2023. "Improved inference in financial factor models," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 364-379.
    8. Chaudhuri, Saraswata & Renault, Eric, 2023. "Efficient estimation of regression models with user-specified parametric model for heteroskedasticty," The Warwick Economics Research Paper Series (TWERPS) 1473, University of Warwick, Department of Economics.
    9. Laurent Ott & Sylvain Weber, 2018. "How effective is carbon taxation on residential heating demand? A household-level analysis," IRENE Working Papers 18-09, IRENE Institute of Economic Research.
    10. Zsuzsanna Csereklyei & David I. Stern, 2018. "Flying more efficiently: joint impacts of fuel prices, capital costs and fleet size on airline fleet fuel economy," CCEP Working Papers 1810, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
    11. Miller, Steve & Startz, Richard, 2019. "Feasible generalized least squares using support vector regression," Economics Letters, Elsevier, vol. 175(C), pages 28-31.
    12. Benedikt M. Potscher & David Preinerstorfer, 2021. "Valid Heteroskedasticity Robust Testing," Papers 2104.12597, arXiv.org, revised Jul 2023.
    13. A Clements & D Preve, 2019. "A Practical Guide to Harnessing the HAR Volatility Model," NCER Working Paper Series 120, National Centre for Econometric Research.
    14. Ali, Mohammad Afshar & Alam, Khorshed & Taylor, Brad & Rafiq, Shuddhasattwa, 2020. "Does ICT maturity catalyse economic development? Evidence from a panel data estimation approach in OECD countries," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 163-174.
    15. Kiviet, Jan F., 2023. "Instrument-free inference under confined regressor endogeneity and mild regularity," Econometrics and Statistics, Elsevier, vol. 25(C), pages 1-22.
    16. Abman, Ryan, 2018. "Rule of Law and Avoided Deforestation from Protected Areas," Ecological Economics, Elsevier, vol. 146(C), pages 282-289.
    17. Stern, David I. & van Dijk, Jeremy, 2016. "Economic growth and global particulate pollution concentrations," Working Papers 249523, Australian National University, Centre for Climate Economics & Policy.
    18. Sin, C.Y. (Chor-yiu) & Lee, Cheng-Few, 2021. "Using heteroscedasticity-non-consistent or heteroscedasticity-consistent variances in linear regression," Econometrics and Statistics, Elsevier, vol. 18(C), pages 117-142.
    19. Bulat Gafarov, 2023. "Generalized Automatic Least Squares: Efficiency Gains from Misspecified Heteroscedasticity Models," Papers 2304.07331, arXiv.org.
    20. Javier Alejo & Antonio F. Galvao & Gabriel Montes-Rojas, 2020. "A first-stage test for instrumental variables quantile regression," Asociación Argentina de Economía Política: Working Papers 4304, Asociación Argentina de Economía Política.
    21. Chronopoulos, Ilias & Kapetanios, George & Petrova, Katerina, 2021. "Kernel-based Volatility Generalised Least Squares," Econometrics and Statistics, Elsevier, vol. 20(C), pages 2-11.
    22. Benedikt M. Potscher & David Preinerstorfer, 2020. "How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?," Papers 2005.04089, arXiv.org, revised Nov 2021.
    23. Cronin, David & McQuinn, Kieran, 2020. "Fiscal policy and growth forecasts in the EU: Are official forecasters still misestimating fiscal multipliers?," Papers WP682, Economic and Social Research Institute (ESRI).
    24. DiCiccio, Cyrus J. & Romano, Joseph P. & Wolf, Michael, 2019. "Improving weighted least squares inference," Econometrics and Statistics, Elsevier, vol. 10(C), pages 96-119.
    25. Guido Imbens & Stefan Wager, 2019. "Optimized Regression Discontinuity Designs," The Review of Economics and Statistics, MIT Press, vol. 101(2), pages 264-278, May.
    26. Travis L Johnson, 2019. "A Fresh Look at Return Predictability Using a More Efficient Estimator," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 9(1), pages 1-46.
    27. Raphael Cunha & Andreas Kern, 2022. "Global banking and the spillovers from political shocks at the core of the world economy," The Review of International Organizations, Springer, vol. 17(4), pages 717-749, October.
    28. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    29. Ozbek, O. Volkan, 2020. "The Market Success of Corporate Spin-offs: Do CEO External Directorships, Age, and Their Interactions Matter?," American Business Review, Pompea College of Business, University of New Haven, vol. 23(2), pages 241-259, November.
    30. Jushan Bai & Sung Hoon Choi & Yuan Liao, 2019. "Feasible Generalized Least Squares for Panel Data with Cross-sectional and Serial Correlations," Papers 1910.09004, arXiv.org, revised Aug 2020.
    31. Huynh, Nhan, 2023. "Unemployment beta and the cross-section of stock returns: Evidence from Australia," International Review of Financial Analysis, Elsevier, vol. 86(C).
    32. Cyrus J. DiCiccio & Joseph P. Romano & Michael Wolf, 2016. "Improving weighted least squares inference," ECON - Working Papers 232, Department of Economics - University of Zurich, revised Nov 2017.

  14. Ashok Kaul & Michael Wolf, 2014. "The (possible) effect of plain packaging on the smoking prevalence of minors in Australia: a trend analysis," ECON - Working Papers 149, Department of Economics - University of Zurich, revised May 2014.

    Cited by:

    1. André Bonfrer & Pradeep K. Chintagunta & John H. Roberts & David Corkindale, 2020. "Assessing the Sales Impact of Plain Packaging Regulation for Cigarettes: Evidence from Australia," Marketing Science, INFORMS, vol. 39(1), pages 234-252, January.
    2. Ashok Kaul & Michael Wolf, 2014. "The (possible) effect of plain packaging on smoking prevalence in Australia: a trend analysis," ECON - Working Papers 165, Department of Economics - University of Zurich.

  15. Olivier Ledoit & Michael Wolf, 2014. "Nonlinear shrinkage of the covariance matrix for portfolio selection: Markowitz meets Goldilocks," ECON - Working Papers 137, Department of Economics - University of Zurich, revised Feb 2017.

    Cited by:

    1. Hsu, Po-Hsuan & Han, Qiheng & Wu, Wensheng & Cao, Zhiguang, 2018. "Asset allocation strategies, data snooping, and the 1 / N rule," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 257-269.
    2. Francesco Lautizi, 2015. "Large Scale Covariance Estimates for Portfolio Selection," CEIS Research Paper 353, Tor Vergata University, CEIS, revised 07 Aug 2015.
    3. Ledoit, Olivier & Wolf, Michael, 2017. "Numerical implementation of the QuEST function," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 199-223.

  16. Olivier Ledoit & Michael Wolf, 2013. "Optimal estimation of a large-dimensional covariance matrix under Stein’s loss," ECON - Working Papers 122, Department of Economics - University of Zurich, revised Mar 2017.

    Cited by:

    1. Brett Naul & Bala Rajaratnam & Dario Vincenzi, 2016. "The role of the isotonizing algorithm in Stein’s covariance matrix estimator," Computational Statistics, Springer, vol. 31(4), pages 1453-1476, December.
    2. Olivier Ledoit & Michael Wolf, 2014. "Nonlinear shrinkage of the covariance matrix for portfolio selection: Markowitz meets Goldilocks," ECON - Working Papers 137, Department of Economics - University of Zurich, revised Feb 2017.

  17. Olivier Ledoit & Michael Wolf, 2013. "Spectrum estimation: a unified framework for covariance matrix estimation and PCA in large dimensions," ECON - Working Papers 105, Department of Economics - University of Zurich, revised Jul 2013.

    Cited by:

    1. Zhao Zhao & Olivier Ledoit & Hui Jiang, 2019. "Risk reduction and efficiency increase in large portfolios: leverage and shrinkage," ECON - Working Papers 328, Department of Economics - University of Zurich, revised Jan 2020.
    2. Olivier Ledoit & Michael Wolf, 2019. "The power of (non-)linear shrinking: a review and guide to covariance matrix estimation," ECON - Working Papers 323, Department of Economics - University of Zurich, revised Feb 2020.
    3. Joongyeub Yeo & George Papanicolaou, 2016. "Random matrix approach to estimation of high-dimensional factor models," Papers 1611.05571, arXiv.org, revised Nov 2017.
    4. Yang, Guangren & Liu, Yiming & Pan, Guangming, 2019. "Weighted covariance matrix estimation," Computational Statistics & Data Analysis, Elsevier, vol. 139(C), pages 82-98.
    5. Vincent Tan & Stefan Zohren, 2020. "Estimation of Large Financial Covariances: A Cross-Validation Approach," Papers 2012.05757, arXiv.org, revised Jan 2023.
    6. Andries C. van Vlodrop & Andre (A.) Lucas, 2018. "Estimation Risk and Shrinkage in Vast-Dimensional Fundamental Factor Models," Tinbergen Institute Discussion Papers 18-099/III, Tinbergen Institute.
    7. Sven Husmann & Antoniya Shivarova & Rick Steinert, 2019. "Cross-validated covariance estimators for high-dimensional minimum-variance portfolios," Papers 1910.13960, arXiv.org, revised Oct 2020.
    8. Plachel, Lukas, 2019. "A unified model for regularized and robust portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    9. Gianluca De Nard & Olivier Ledoit & Michael Wolf, 2018. "Factor models for portfolio selection in large dimensions: the good, the better and the ugly," ECON - Working Papers 290, Department of Economics - University of Zurich, revised Dec 2018.
    10. Sven Husmann & Antoniya Shivarova & Rick Steinert, 2022. "Sparsity and stability for minimum-variance portfolios," Risk Management, Palgrave Macmillan, vol. 24(3), pages 214-235, September.
    11. Nystrup, Peter & Lindström, Erik & Møller, Jan K. & Madsen, Henrik, 2021. "Dimensionality reduction in forecasting with temporal hierarchies," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1127-1146.
    12. Wen, Jun, 2018. "Estimation of two high-dimensional covariance matrices and the spectrum of their ratio," Journal of Multivariate Analysis, Elsevier, vol. 168(C), pages 1-29.
    13. Ledoit, Olivier & Wolf, Michael, 2017. "Numerical implementation of the QuEST function," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 199-223.
    14. Lars Heinrich & Antoniya Shivarova & Martin Zurek, 2021. "Factor investing: alpha concentration versus diversification," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 464-487, October.
    15. Liusha Yang & Matthew R. Mckay & Romain Couillet, 2018. "High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models," Post-Print hal-01957672, HAL.
    16. Liu, Cheng & Wang, Moming & Xia, Ningning, 2022. "Design-free estimation of integrated covariance matrices for high-frequency data," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
    17. Ikeda, Yuki & Kubokawa, Tatsuya, 2016. "Linear shrinkage estimation of large covariance matrices using factor models," Journal of Multivariate Analysis, Elsevier, vol. 152(C), pages 61-81.
    18. Jamshid Namdari & Debashis Paul & Lili Wang, 2021. "High-Dimensional Linear Models: A Random Matrix Perspective," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 645-695, August.
    19. Ledoit, Olivier & Wolf, Michael, 2021. "Shrinkage estimation of large covariance matrices: Keep it simple, statistician?," Journal of Multivariate Analysis, Elsevier, vol. 186(C).
    20. Tsukuma, Hisayuki, 2016. "Estimation of a high-dimensional covariance matrix with the Stein loss," Journal of Multivariate Analysis, Elsevier, vol. 148(C), pages 1-17.
    21. Olivier Ledoit & Michael Wolf, 2019. "Shrinkage estimation of large covariance matrices: keep it simple, statistician?," ECON - Working Papers 327, Department of Economics - University of Zurich, revised Jun 2021.
    22. Robert F. Engle & Olivier Ledoit & Michael Wolf, 2016. "Large dynamic covariance matrices," ECON - Working Papers 231, Department of Economics - University of Zurich, revised Apr 2017.
    23. Nikan Firoozye & Vincent Tan & Stefan Zohren, 2022. "Canonical Portfolios: Optimal Asset and Signal Combination," Papers 2202.10817, arXiv.org, revised Jul 2023.
    24. Ikeda, Yuki & Kubokawa, Tatsuya & Srivastava, Muni S., 2016. "Comparison of linear shrinkage estimators of a large covariance matrix in normal and non-normal distributions," Computational Statistics & Data Analysis, Elsevier, vol. 95(C), pages 95-108.
    25. Farnè, Matteo & Montanari, Angela, 2020. "A large covariance matrix estimator under intermediate spikiness regimes," Journal of Multivariate Analysis, Elsevier, vol. 176(C).
    26. Hafner, Christian & Linton, Oliver & Tang, Haihan, 2020. "Estimation of a multiplicative correlation structure in the large dimensional case," LIDAM Reprints ISBA 2020028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    27. Esra Ulasan & A. Özlem Önder, 2023. "Large portfolio optimisation approaches," Journal of Asset Management, Palgrave Macmillan, vol. 24(6), pages 485-497, October.
    28. Huang, Na & Fryzlewicz, Piotr, 2018. "NOVELIST estimator of large correlation and covariance matrices and their inverses," LSE Research Online Documents on Economics 89055, London School of Economics and Political Science, LSE Library.
    29. Olivier Ledoit & Michael Wolf, 2017. "Analytical nonlinear shrinkage of large-dimensional covariance matrices," ECON - Working Papers 264, Department of Economics - University of Zurich, revised Nov 2018.
    30. Zhonghui Zhang & Huarui Jing & Chihwa Kao, 2023. "High-Dimensional Distributionally Robust Mean-Variance Efficient Portfolio Selection," Mathematics, MDPI, vol. 11(5), pages 1-16, March.
    31. Tsubasa Ito & Tatsuya Kubokawa, 2015. "Linear Ridge Estimator of High-Dimensional Precision Matrix Using Random Matrix Theory ," CIRJE F-Series CIRJE-F-995, CIRJE, Faculty of Economics, University of Tokyo.
    32. Lam, Clifford, 2020. "High-dimensional covariance matrix estimation," LSE Research Online Documents on Economics 101667, London School of Economics and Political Science, LSE Library.
    33. Guggenberger, Patrik & Kleibergen, Frank & Mavroeidis, Sophocles, 2023. "A test for Kronecker Product Structure covariance matrix," Journal of Econometrics, Elsevier, vol. 233(1), pages 88-112.
    34. Olivier Ledoit & Michael Wolf, 2019. "Quadratic shrinkage for large covariance matrices," ECON - Working Papers 335, Department of Economics - University of Zurich, revised Dec 2020.
    35. Sven Husmann & Antoniya Shivarova & Rick Steinert, 2019. "Sparsity and Stability for Minimum-Variance Portfolios," Papers 1910.11840, arXiv.org.
    36. Olivier Ledoit & Michael Wolf, 2013. "Optimal estimation of a large-dimensional covariance matrix under Stein’s loss," ECON - Working Papers 122, Department of Economics - University of Zurich, revised Mar 2017.
    37. Tae-Hwy Lee & Ekaterina Seregina, 2020. "Learning from Forecast Errors: A New Approach to Forecast Combinations," Papers 2011.02077, arXiv.org, revised May 2021.
    38. Gianluca De Nard & Robert F. Engle & Olivier Ledoit & Michael Wolf, 2020. "Large dynamic covariance matrices: enhancements based on intraday data," ECON - Working Papers 356, Department of Economics - University of Zurich, revised Jan 2022.
    39. Joel Bun & Jean-Philippe Bouchaud & Marc Potters, 2016. "Cleaning large correlation matrices: tools from random matrix theory," Papers 1610.08104, arXiv.org.
    40. Na Huang & Piotr Fryzlewicz, 2019. "NOVELIST estimator of large correlation and covariance matrices and their inverses," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 694-727, September.
    41. Linton, O. & Tang, H., 2020. "Estimation of the Kronecker Covariance Model by Quadratic Form," Cambridge Working Papers in Economics 2050, Faculty of Economics, University of Cambridge.
    42. Olivier Ledoit & Michael Wolf, 2014. "Nonlinear shrinkage of the covariance matrix for portfolio selection: Markowitz meets Goldilocks," ECON - Working Papers 137, Department of Economics - University of Zurich, revised Feb 2017.
    43. Li, Degui, 2024. "Estimation of Large Dynamic Covariance Matrices: A Selective Review," Econometrics and Statistics, Elsevier, vol. 29(C), pages 16-30.
    44. Sven Husmann & Antoniya Shivarova & Rick Steinert, 2021. "Cross-validated covariance estimators for high-dimensional minimum-variance portfolios," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(3), pages 309-352, September.
    45. De Nard, Gianluca & Zhao, Zhao, 2023. "Using, taming or avoiding the factor zoo? A double-shrinkage estimator for covariance matrices," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 23-35.
    46. Yuasa, Ryota & Kubokawa, Tatsuya, 2020. "Ridge-type linear shrinkage estimation of the mean matrix of a high-dimensional normal distribution," Journal of Multivariate Analysis, Elsevier, vol. 178(C).

  18. Michael Wolf & Dan Wunderli, 2012. "Bootstrap joint prediction regions," ECON - Working Papers 064, Department of Economics - University of Zurich, revised May 2013.

    Cited by:

    1. Anna Staszewska-Bystrova & Peter Winker, 2014. "Measuring Forecast Uncertainty of Corporate Bond Spreads by Bonferroni-Type Prediction Bands," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(2), pages 89-104, June.
    2. Fady Barsoum, 2015. "Point and Density Forecasts Using an Unrestricted Mixed-Frequency VAR Model," Working Paper Series of the Department of Economics, University of Konstanz 2015-19, Department of Economics, University of Konstanz.
    3. Régis Barnichon & Geert Mesters, 2020. "Optimal policy perturbations," Economics Working Papers 1716, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Grabowski, Daniel & Staszewska-Bystrova, Anna, 2018. "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181590, Verein für Socialpolitik / German Economic Association.
    5. Stefan Bruder, 2014. "Comparing several methods to compute joint prediction regions for path forecasts generated by vector autoregressions," ECON - Working Papers 181, Department of Economics - University of Zurich, revised Dec 2015.
    6. Maria Lucia Parrella & Giuseppina Albano & Cira Perna & Michele La Rocca, 2021. "Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets," Computational Statistics, Springer, vol. 36(4), pages 2917-2938, December.
    7. Andrew Martinez, 2017. "Testing for Differences in Path Forecast Accuracy: Forecast-Error Dynamics Matter," Working Papers (Old Series) 1717, Federal Reserve Bank of Cleveland.
    8. Sílvia Gonçalves & Benoit Perron & Antoine Djogbenou, 2017. "Bootstrap Prediction Intervals for Factor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 53-69, January.
    9. Lütkepohl, Helmut & Staszewska-Bystrova, Anna & Winker, Peter, 2020. "Constructing joint confidence bands for impulse response functions of VAR models – A review," Econometrics and Statistics, Elsevier, vol. 13(C), pages 69-83.
    10. Pan, Li & Politis, Dimitris N., 2016. "Bootstrap prediction intervals for Markov processes," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 467-494.
    11. David Harris & Gael M. Martin & Indeewara Perera & Don S. Poskitt, 2017. "Construction and visualization of optimal confidence sets for frequentist distributional forecasts," Monash Econometrics and Business Statistics Working Papers 9/17, Monash University, Department of Econometrics and Business Statistics.
    12. Farooq Akram & Andrew Binning & Junior Maih, 2016. "Joint prediction bands for macroeconomic risk management," Working Paper 2016/7, Norges Bank.
    13. Pan, Li & Politis, Dimitris, 2014. "Bootstrap prediction intervals for Markov processes," University of California at San Diego, Economics Working Paper Series qt7555757g, Department of Economics, UC San Diego.
    14. Helmut Lütkepohl & Anna Staszewska-Bystrova & Peter Winker, 2014. "Confidence Bands for Impulse Responses: Bonferroni versus Wald," CESifo Working Paper Series 4634, CESifo.
    15. Marcellino, Massimiliano & Knüppel, Malte & Jordà , Òscar, 2010. "Empirical Simultaneous Confidence Regions for Path-Forecasts," CEPR Discussion Papers 7797, C.E.P.R. Discussion Papers.
    16. Régis Barnichon & Geert Mesters, 2022. "A Sufficient Statistics Approach for Macro Policy Evaluation," Working Paper Series 2022, Federal Reserve Bank of San Francisco.
    17. Antoniadis, Anestis & Brossat, Xavier & Cugliari, Jairo & Poggi, Jean-Michel, 2016. "A prediction interval for a function-valued forecast model: Application to load forecasting," International Journal of Forecasting, Elsevier, vol. 32(3), pages 939-947.
    18. Helmut Lütkepohl & Anna Staszewska-Bystrova & Peter Winker, 2013. "Comparison of Methods for Constructing Joint Confidence Bands for Impulse Response Functions," SFB 649 Discussion Papers SFB649DP2013-031, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    19. Fresoli, Diego Eduardo & Ruiz Ortega, Esther, 2014. "The uncertainty of conditional returns, volatilities and correlations in DCC models," DES - Working Papers. Statistics and Econometrics. WS ws140202, Universidad Carlos III de Madrid. Departamento de Estadística.
    20. Giovanni Fonseca & Federica Giummolè & Paolo Vidoni, 2021. "A note on simultaneous calibrated prediction intervals for time series," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(1), pages 317-330, March.
    21. Fresoli, Diego & Ruiz, Esther & Pascual, Lorenzo, 2015. "Bootstrap multi-step forecasts of non-Gaussian VAR models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 834-848.
    22. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2015. "Theoretical Aspects of Modeling of the SVAR [Теоретические Аспекты Моделирования Svar]," Published Papers mak8, Russian Presidential Academy of National Economy and Public Administration.
    23. Paolo Vidoni, 2017. "Improved multivariate prediction regions for Markov process models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(1), pages 1-18, March.
    24. Òscar Jordà & Malte Knuppel & Massimiliano Marcellino, 2012. "Empirical simultaneous prediction regions for path-forecasts," Working Paper Series 2012-05, Federal Reserve Bank of San Francisco.

  19. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2012. "A practical two-step method for testing moment inequalities," ECON - Working Papers 090, Department of Economics - University of Zurich, revised Apr 2014.

    Cited by:

    1. Andres Aradillas-Lopez & Adam Rosen, 2013. "Inference in ordered response games with complete information," CeMMAP working papers 33/13, Institute for Fiscal Studies.
    2. Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2016. "Testing many moment inequalities," CeMMAP working papers CWP42/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Kate Ho & Adam M. Rosen, 2015. "Partial Identification in Applied Research: Benefits and Challenges," NBER Working Papers 21641, National Bureau of Economic Research, Inc.
    4. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2013. "Specification tests for partially identified models defined by moment inequalities," CeMMAP working papers CWP01/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Magne Mogstad & Joseph P. Romano & Daniel Wilhelm & Azeem M. Shaikh, 2020. "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers CWP10/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2014. "Inference for functions of partially identified parameters in moment inequality models," CeMMAP working papers CWP05/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. David M. Kaplan & Longhao Zhuo, 2019. "Comparing latent inequality with ordinal data," Working Papers 1909, Department of Economics, University of Missouri.
    8. Sokbae (Simon) Lee & Kyungchui (Kevin) Song & Yoon-Jae Whang, 2014. "Testing for a general class of functional inequalities," CeMMAP working papers CWP09/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Clément de Chaisemartin, 2012. "Fuzzy differences in differences," PSE Working Papers halshs-00671368, HAL.
    10. Joel L. Horowitz & Sokbae (Simon) Lee, 2015. "Nonparametric estimation and inference under shape restrictions," CeMMAP working papers CWP67/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. John Asker & Chaim Fershtman & Jihye Jeon & Ariel Pakes, 2016. "The Competitive Effects of Information Sharing," NBER Working Papers 22836, National Bureau of Economic Research, Inc.
    12. Adam McCloskey, 2012. "Bonferroni-Based Size-Correction for Nonstandard Testing Problems," Working Papers 2012-16, Brown University, Department of Economics.
    13. Andrew Chesher & Adam Rosen, 2016. "Characterizations of identified sets delivered by structural econometric models," CeMMAP working papers CWP44/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Kaplan, David M. & Zhuo, Longhao, 2021. "Frequentist properties of Bayesian inequality tests," Journal of Econometrics, Elsevier, vol. 221(1), pages 312-336.
    15. Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018. "Inference on winners," CeMMAP working papers CWP73/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Ivan A. Canay & Azeem M. Shaikh, 2016. "Practical and theoretical advances in inference for partially identified models," CeMMAP working papers CWP05/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Bontemps, Christian & Kumar, Rohit, 2018. "A Geometric Approach to Inference in Set-Identified Entry Games," TSE Working Papers 18-943, Toulouse School of Economics (TSE), revised Mar 2019.
    18. de Chaisemartin, Clement & D'Haultfoeuille, Xavier, "undated". "Supplement to Fuzzy Differences-in-Differences," Economic Research Papers 270217, University of Warwick - Department of Economics.
    19. Le-Yu Chen & Jerzy Szroeter, 2012. "Testing multiple inequality hypotheses: a smoothed indicator approach," CeMMAP working papers 16/12, Institute for Fiscal Studies.
    20. Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," Papers 1601.00934, arXiv.org, revised Jun 2019.
    21. Victor Aguirregabiria & Allan Collard-Wexler & Stephen P. Ryan, 2021. "Dynamic Games in Empirical Industrial Organization," Papers 2109.01725, arXiv.org, revised Sep 2021.
    22. Kojevnikov, Denis & Song, Kyungchul, 2023. "Econometric inference on a large Bayesian game with heterogeneous beliefs," Journal of Econometrics, Elsevier, vol. 237(1).
    23. Federico A. Bugni & Mehmet Caner & Anders Bredahl Kock & Soumendra Lahiri, 2016. "Inference in partially identified models with many moment inequalities using Lasso," CREATES Research Papers 2016-12, Department of Economics and Business Economics, Aarhus University.
    24. Ryo Okui, 2021. "A moment inequality approach to statistical inference for rankings," The Japanese Economic Review, Springer, vol. 72(2), pages 169-184, April.
    25. Filip Obradovi'c, 2022. "Measuring Diagnostic Test Performance Using Imperfect Reference Tests: A Partial Identification Approach," Papers 2204.00180, arXiv.org, revised Feb 2023.
    26. Jorg Stoye, 2020. "A Simple, Short, but Never-Empty Confidence Interval for Partially Identified Parameters," Papers 2010.10484, arXiv.org, revised Dec 2020.
    27. Zeng-Hua Lu, 2020. "Bahadur intercept with applications to one-sided testing," Statistical Papers, Springer, vol. 61(2), pages 645-658, April.
    28. Joseph P. Romano & Michael Wolf, 2017. "Multiple testing of one-sided hypotheses: combining Bonferroni and the bootstrap," ECON - Working Papers 254, Department of Economics - University of Zurich.
    29. Victor Chernozhukov & Denis Chetverikov & Kengo Kato & Yuta Koike, 2019. "Improved Central Limit Theorem and bootstrap approximations in high dimensions," Papers 1912.10529, arXiv.org, revised May 2022.
    30. Allen, Roy, 2018. "Testing moment inequalities: Selection versus recentering," Economics Letters, Elsevier, vol. 162(C), pages 124-126.
    31. Rami V. Tabri & Christopher D. Walker, 2020. "Inference for Moment Inequalities: A Constrained Moment Selection Procedure," Papers 2008.09021, arXiv.org, revised Aug 2020.
    32. Yanchun Jin & Ryo Okui, 2020. "Testing for overconfidence statistically: A moment inequality approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 879-892, November.
    33. David M. Kaplan & Longhao Zhuo, 2018. "Frequentist size of Bayesian inequality tests," Working Papers 1802, Department of Economics, University of Missouri, revised 14 Jul 2019.
    34. Andrew Chesher & Adam Rosen, 2014. "Generalized instrumental variable models," CeMMAP working papers 04/14, Institute for Fiscal Studies.
    35. Ashesh Rambachan & Jonathan Roth, 2023. "A More Credible Approach to Parallel Trends," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2555-2591.
    36. Zheng Fang, 2021. "A Unifying Framework for Testing Shape Restrictions," Papers 2107.12494, arXiv.org, revised Aug 2021.
    37. Dzemski, Andreas & Okui, Ryo, 2018. "Confidence Set for Group Membership," Working Papers in Economics 727, University of Gothenburg, Department of Economics.
    38. Zeng-Hua Lu & Alec Zuo, 2017. "Child disability, welfare payments, marital status and mothers’ labor supply: Evidence from Australia," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1339769-133, January.
    39. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    40. Timmermann, Allan & Qu, Ritong & Zhu, Yinchu, 2019. "Do Any Economists Have Superior Forecasting Skills?," CEPR Discussion Papers 14112, C.E.P.R. Discussion Papers.
    41. Christian Bontemps & Thierry Magnac, 2017. "Set Identification, Moment Restrictions, and Inference," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 103-129, September.
    42. Chenyu Yang, 2017. "Could Vertical Integration Increase Innovation?," 2017 Meeting Papers 908, Society for Economic Dynamics.
    43. Marine Carrasco & N'Golo Koné, 2023. "Test for Trading Costs Effect in a Portfolio Selection Problem with Recursive Utility," CIRANO Working Papers 2023s-03, CIRANO.
    44. Holger Dette & Martin Schumann, 2023. "Testing for equivalence of pre-trends in Difference-in-Differences estimation," Papers 2310.15796, arXiv.org.
    45. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov, 2020. "A Random Attention Model," Journal of Political Economy, University of Chicago Press, vol. 128(7), pages 2796-2836.
    46. Oliver R. Cutbill & Rami V. Tabri, 2022. "The Impossibility of Testing for Dependence Using Kendall’s Ƭ Under Missing Data of Unknown Form," Working Papers 2022-03, University of Sydney, School of Economics.
    47. Wang, Wenjie & Doko Tchatoka, Firmin, 2018. "On Bootstrap inconsistency and Bonferroni-based size-correction for the subset Anderson–Rubin test under conditional homoskedasticity," Journal of Econometrics, Elsevier, vol. 207(1), pages 188-211.
    48. Hiroaki Kaido & Jiaxuan Li & Marc Rysman, 2018. "Moment Inequalities in the Context of Simulated and Predicted Variables," Papers 1804.03674, arXiv.org.
    49. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    50. Sasaki, Yuya & Takahashi, Yuya & Xin, Yi & Hu, Yingyao, 2023. "Dynamic discrete choice models with incomplete data: Sharp identification," Journal of Econometrics, Elsevier, vol. 236(1).
    51. Evan K. Rose & Yotam Shem-Tov, 2021. "On Recoding Ordered Treatments as Binary Indicators," Papers 2111.12258, arXiv.org, revised Mar 2024.
    52. Gregory Cox & Xiaoxia Shi, 2019. "Simple Adaptive Size-Exact Testing for Full-Vector and Subvector Inference in Moment Inequality Models," Papers 1907.06317, arXiv.org, revised Aug 2020.
    53. Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.
    54. Fan, Yanqin & Shi, Xuetao, 2023. "Wald, QLR, and score tests when parameters are subject to linear inequality constraints," Journal of Econometrics, Elsevier, vol. 235(2), pages 2005-2026.
    55. Michael P. Leung & Hyungsik Roger Moon, 2019. "Normal Approximation in Large Network Models," Papers 1904.11060, arXiv.org, revised Feb 2023.
    56. Andreas Dzemski & Ryo Okui, 2017. "Confidence set for group membership," Papers 1801.00332, arXiv.org, revised Nov 2023.

  20. Joseph P. Romano & Michael Wolf, 2011. "Testing for monotonicity in expected asset returns," ECON - Working Papers 017, Department of Economics - University of Zurich, revised Jan 2013.

    Cited by:

    1. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2019. "Detecting p-hacking," Papers 1906.06711, arXiv.org, revised May 2021.
    2. Ivan A. Canay & Azeem M. Shaikh, 2016. "Practical and theoretical advances in inference for partially identified models," CeMMAP working papers CWP05/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Guillaume Coqueret & Tony Guida, 2020. "Training trees on tails with applications to portfolio choice," Annals of Operations Research, Springer, vol. 288(1), pages 181-221, May.
    4. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Ernst Schaumburg, 2020. "Characteristic-Sorted Portfolios: Estimation and Inference," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 531-551, July.
    5. Wan-Ni Lai & Claire Y. T. Chen & Edward W. Sun, 2022. "Risk factor extraction with quantile regression method," Annals of Operations Research, Springer, vol. 316(2), pages 1543-1572, September.
    6. Söhnke M. Bartram & Harald Lohre & Peter F. Pope & Ananthalakshmi Ranganathan, 2021. "Navigating the factor zoo around the world: an institutional investor perspective," Journal of Business Economics, Springer, vol. 91(5), pages 655-703, July.
    7. Guillaume Coqueret & Tony Guida, 2020. "Training trees on tails with applications to portfolio choice," Post-Print hal-04144665, HAL.

  21. Olivier Ledoit & Michael Wolf, 2011. "Nonlinear shrinkage estimation of large-dimensional covariance matrices," IEW - Working Papers 515, Institute for Empirical Research in Economics - University of Zurich.

    Cited by:

    1. Imre Kondor & G'abor Papp & Fabio Caccioli, 2017. "Analytic approach to variance optimization under an $\ell_1$ constraint," Papers 1709.08755, arXiv.org, revised Jul 2018.
    2. Imre Kondor & G'abor Papp & Fabio Caccioli, 2016. "Analytic solution to variance optimization with no short-selling," Papers 1612.07067, arXiv.org, revised Jan 2017.

  22. Michael Wolf & Dan Wunderli, 2009. "Fund-of-funds construction by statistical multiple testing methods," IEW - Working Papers 445, Institute for Empirical Research in Economics - University of Zurich.

    Cited by:

    1. Enareta Kurtbegu & Juliana Caicedo-llano, 2014. "European equity fund managers: luck or skill?!," Economics Bulletin, AccessEcon, vol. 34(4), pages 2340-2350.
    2. Olivier Ledoit & Michael Wolf, 2019. "The power of (non-)linear shrinking: a review and guide to covariance matrix estimation," ECON - Working Papers 323, Department of Economics - University of Zurich, revised Feb 2020.
    3. McDowell, Shaun, 2018. "The benefits of international diversification with weight constraints: A cross-country examination," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 99-109.

  23. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009. "Consonance and the closure method in multiple testing," IEW - Working Papers 446, Institute for Empirical Research in Economics - University of Zurich.

    Cited by:

    1. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.
    2. Chung, EunYi & Romano, Joseph P., 2016. "Multivariate and multiple permutation tests," Journal of Econometrics, Elsevier, vol. 193(1), pages 76-91.
    3. Michael Rosenblum & Han Liu & En-Hsu Yen, 2014. "Optimal Tests of Treatment Effects for the Overall Population and Two Subpopulations in Randomized Trials, Using Sparse Linear Programming," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(507), pages 1216-1228, September.
    4. Ruth Heller & Abba Krieger & Saharon Rosset, 2023. "Optimal multiple testing and design in clinical trials," Biometrics, The International Biometric Society, vol. 79(3), pages 1908-1919, September.
    5. Zeng-Hua Lu, 2016. "Extended MaxT Tests of One-Sided Hypotheses," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(513), pages 423-437, March.
    6. Zeng-Hua Lu, 2019. "Extended MinP Tests of Multiple Hypotheses," Papers 1911.04696, arXiv.org.
    7. Quynh Van Nong & Chi Tim Ng, 2021. "Clustering of subsample means based on pairwise L1 regularized empirical likelihood," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 73(1), pages 135-174, February.
    8. Giuseppe Cavaliere & Zeng-Hua Lu & Anders Rahbek & Yuhong Yang, 2021. "MinP Score Tests with an Inequality Constrained Parameter Space," Papers 2107.06089, arXiv.org.
    9. Davide Viviano & Kaspar Wuthrich & Paul Niehaus, 2021. "A model of multiple hypothesis testing," Papers 2104.13367, arXiv.org, revised Apr 2024.

  24. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009. "Hypothesis testing in econometrics," IEW - Working Papers 444, Institute for Empirical Research in Economics - University of Zurich.

    Cited by:

    1. Neckermann, Susanne & Turmunkh, Uyanga & van Dolder, Dennie & Wang, Tong V., 2022. "Nudging student participation in online evaluations of teaching: Evidence from a field experiment," European Economic Review, Elsevier, vol. 141(C).
    2. Lydia Mechtenberg & Gerd Muehlheusser & Andreas Roider, 2017. "Whistle-Blower Protection: Theory and Experimental Evidence," CESifo Working Paper Series 6394, CESifo.
    3. Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
    4. Orla Doyle & Colm Harmon & James J. Heckman & Caitriona Logue & Seong Moon, 2013. "Measuring Investment in Human Capital Formation: An Experimental Analysis of Early Life Outcomes," NBER Working Papers 19316, National Bureau of Economic Research, Inc.
    5. Michelle Marcus & Pedro H. C. Sant’Anna, 2021. "The Role of Parallel Trends in Event Study Settings: An Application to Environmental Economics," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 8(2), pages 235-275.
    6. Susanne M. Schennach & Daniel Wilhelm, 2014. "A simple parametric model selection test," CeMMAP working papers 10/14, Institute for Fiscal Studies.
    7. Lindsey Lacey, 2023. "The physical and mental health returns of Head Start 25 years after participation: Evidence from income eligibility cutoffs," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 870-890, October.
    8. Freyberger, Joachim & Horowitz, Joel L., 2015. "Identification and shape restrictions in nonparametric instrumental variables estimation," Journal of Econometrics, Elsevier, vol. 189(1), pages 41-53.
    9. Dowling, Michael & Cummins, Mark & Lucey, Brian M., 2016. "Psychological barriers in oil futures markets," Energy Economics, Elsevier, vol. 53(C), pages 293-304.
    10. Miguel A Delgado & Andrés García-Suaza & Pedro H C Sant’Anna, 2022. "Distribution regression in duration analysis: an application to unemployment spells [Lecture notes in statistics: Proceedings]," The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 675-698.
    11. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "Coverage Error Optimal Confidence Intervals for Local Polynomial Regression," Papers 1808.01398, arXiv.org, revised Jul 2021.
    12. esposito, francesco paolo & cummins, mark, 2015. "Multiple hypothesis testing of market risk forecasting models," MPRA Paper 64986, University Library of Munich, Germany.
    13. Kearney, Fearghal & Cummins, Mark & Murphy, Finbarr, 2014. "Outperformance in exchange-traded fund pricing deviations: Generalized control of data snooping bias," Journal of Financial Markets, Elsevier, vol. 19(C), pages 86-109.
    14. Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2015. "Behavioral influences in non-ferrous metals prices," Resources Policy, Elsevier, vol. 45(C), pages 9-22.
    15. Holger Dette & Stefan Hoderlein & Natalie Neumeyer, 2013. "Testing Multivariate Economic Restrictions Using Quantiles: The Example of Slutsky Negative Semidefiniteness," Boston College Working Papers in Economics 836, Boston College Department of Economics.
    16. Zeng-Hua Lu, 2020. "Bahadur intercept with applications to one-sided testing," Statistical Papers, Springer, vol. 61(2), pages 645-658, April.
    17. Jeffrey D. Michler & Anna Josephson, 2021. "Recent Developments in Inference: Practicalities for Applied Economics," Papers 2107.09736, arXiv.org.
    18. Sandra García-Uribe, 2018. "Multidimensional media slant: complementarities in news reporting by US newspapers," Working Papers 1817, Banco de España.
    19. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    20. Joachim Freyberger & Joel L. Horowitz, 2012. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers CWP15/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. Woutersen, Tiemen & Hausman, Jerry A., 2019. "Increasing the power of specification tests," Journal of Econometrics, Elsevier, vol. 211(1), pages 166-175.
    22. Michel André Maréchal & Christian Thöni, 2016. "Hidden persuaders: do small gifts lubricate business negotiations?," ECON - Working Papers 227, Department of Economics - University of Zurich, revised May 2018.
    23. Clarke, Damian & Romano, Joseph P. & Wolf, Michael, 2019. "The Romano-Wolf Multiple Hypothesis Correction in Stata," IZA Discussion Papers 12845, Institute of Labor Economics (IZA).
    24. García-Uribe, Sandra, 2022. "Multidimensional media slant: Complementarities in news reporting by US newspapers," Information Economics and Policy, Elsevier, vol. 61(C).
    25. Christos Alexakis & Mark Cummins & Michael Dowling & Vasileios Pappas, 2018. "A High-Frequency Analysis of Price Resolution and Pricing Barriers in Equities on the Adoption of a New Currency," Post-Print hal-01994666, HAL.
    26. Zhao, Junguang & Xu, Xingzhong, 2016. "A generalized likelihood ratio test for normal mean when p is greater than n," Computational Statistics & Data Analysis, Elsevier, vol. 99(C), pages 91-104.
    27. James J. Heckman & Rodrigo Pinto & Azeem Shaikh, 2023. "Dealing with Imperfect Randomization: Inference for the HighScope Perry Preschool Program," Working Papers 2023-031, Human Capital and Economic Opportunity Working Group.
    28. Cummins, Mark, 2013. "EU ETS market interactions: The case for multiple hypothesis testing approaches," Applied Energy, Elsevier, vol. 111(C), pages 701-709.
    29. Szklo, Michel & Clarke, Damian & Rocha, Rudi, 2024. "Does Increasing Public Spending in Health Improve Health? Lessons from a Constitutional Reform in Brazil," IZA Discussion Papers 16829, Institute of Labor Economics (IZA).
    30. Mark Cummins & Andrea Bucca, 2012. "Quantitative spread trading on crude oil and refined products markets," Quantitative Finance, Taylor & Francis Journals, vol. 12(12), pages 1857-1875, December.
    31. Bentivoglio, D. & Bucci, G. & Finco, A., 2018. "Factor affecting the palm oil boom in Indonesia: a time series analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277129, International Association of Agricultural Economists.
    32. Roland G. Fryer, Jr & Meghan Howard Noveck, 2017. "High-Dosage Tutoring and Reading Achievement: Evidence from New York City," NBER Working Papers 23792, National Bureau of Economic Research, Inc.
    33. Shen, Yanfeng & Lin, Zhengyan & Zhu, Jun, 2011. "Shrinkage-based regularization tests for high-dimensional data with application to gene set analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2221-2233, July.
    34. Doyle, Orla & Harmon, Colm & Heckman, James J. & Logue, Caitriona & Moon, Seong Hyeok, 2017. "Early skill formation and the efficiency of parental investment: A randomized controlled trial of home visiting," Labour Economics, Elsevier, vol. 45(C), pages 40-58.
    35. Zeng-Hua Lu & Alec Zuo, 2017. "Child disability, welfare payments, marital status and mothers’ labor supply: Evidence from Australia," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1339769-133, January.
    36. Cummins, Mark & Garry, Oonagh & Kearney, Claire, 2014. "Price discovery analysis of green equity indices using robust asymmetric vector autoregression," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 261-267.
    37. Do Won Kwak & Carl Sherwood & Kam Ki Tang, 2019. "Class attendance and learning outcome," Empirical Economics, Springer, vol. 57(1), pages 177-203, July.
    38. Joachim Freyberger & Joel L. Horowitz, 2013. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers 31/13, Institute for Fiscal Studies.
    39. Ganesh Karapakula & James J. Heckman, 2020. "Using a Satisficing Model of Experimenter Decision-Making to Guide Finite-Sample Inference for Compromised Experiments," Working Papers 2020-063, Human Capital and Economic Opportunity Working Group.
    40. Bartel, Ann P. & Rossin-Slater, Maya & Ruhm, Christopher J. & Slopen, Meredith & Waldfogel, Jane, 2021. "The Impact of Paid Family Leave on Employers: Evidence from New York," IZA Discussion Papers 14262, Institute of Labor Economics (IZA).
    41. Deeney, Peter & Cummins, Mark & Dowling, Michael & Bermingham, Adam, 2015. "Sentiment in oil markets," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 179-185.
    42. Dennis Fredriksen & Christian N. Brinch & Ola L. Vestad, 2017. "Life expectancy and claiming behavior in a flexible pension system," Discussion Papers 859, Statistics Norway, Research Department.
    43. James Heckman & Rodrigo Pinto, 2020. "Inference with Imperfect Randomization: The Case of the Perry Preschool Program," Working Papers 2020-97, Becker Friedman Institute for Research In Economics.
    44. Victor Chernozhukov & Iván Fernández‐Val & Ye Luo, 2018. "The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages," Econometrica, Econometric Society, vol. 86(6), pages 1911-1938, November.
    45. Argyro Avgoustaki & Hans T. W. Frankort, 2019. "Implications of Work Effort and Discretion for Employee Well-Being and Career-Related Outcomes: An Integrative Assessment," ILR Review, Cornell University, ILR School, vol. 72(3), pages 636-661, May.
    46. Meta Brown & John Grigsby & Wilbert Van der Klaauw & Jaya Wen & Basit Zafar, 2013. "Financial education and the debt behavior of the young," Staff Reports 634, Federal Reserve Bank of New York.
    47. Allegretto, Sylvia & Nadler, Carl, 2020. "Minimum Wages and Health: A Reassessment," Institute for Research on Labor and Employment, Working Paper Series qt98f1p6h7, Institute of Industrial Relations, UC Berkeley.
    48. Babcock, Philip & Bedard, Kelly & Fischer, Stefanie & Hartman, John, 2020. "Coordination and contagion: Individual connections and peer mechanisms in a randomized field experiment," Journal of Public Economics, Elsevier, vol. 185(C).
    49. Brownlees, Christian & Souza, André B.M., 2021. "Backtesting global Growth-at-Risk," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 312-330.
    50. Zeng-Hua Lu, 2019. "Extended MinP Tests of Multiple Hypotheses," Papers 1911.04696, arXiv.org.
    51. Krauss, Christopher, 2015. "Statistical arbitrage pairs trading strategies: Review and outlook," FAU Discussion Papers in Economics 09/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    52. Berk, Ales S. & Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2017. "Psychological price barriers in frontier equities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 49(C), pages 1-14.
    53. Takasaki, Yoshito, 2020. "Impacts of disability on poverty: Quasi-experimental evidence from landmine amputees in Cambodia," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 85-107.
    54. John List & Azeem Shaikh & Atom Vayalinkal, 2023. "Multiple Testing with Covariate Adjustment in Experimental Economics," Natural Field Experiments 00732, The Field Experiments Website.
    55. Joachim Freyberger & Joel L. Horowitz, 2013. "Identification and shape restrictions in nonparametric instrumental variables estimation," CeMMAP working papers CWP31/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    56. Shah, Puspa & Thapa, Nischal, 2023. "Finding the sweet spot: Evaluating the role of structured idea-generation framework in generating high-quality new venture ideas," Journal of Business Venturing Insights, Elsevier, vol. 20(C).
    57. Christos Alexakis & Mark Cummins & Michael Dowling & Vasileios Pappas, 2018. "A high-frequency analysis of price resolution and pricing barriers in equities on the adoption of a new currency," Applied Economics, Taylor & Francis Journals, vol. 50(36), pages 3949-3965, August.
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  25. Richard M. Bittman & Joseph P. Romano & Carlos Vallarino & Michael Wolf, 2008. "Optimal testing of multiple hypotheses with common effect direction," IEW - Working Papers 307, Institute for Empirical Research in Economics - University of Zurich.

    Cited by:

    1. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009. "Consonance and the closure method in multiple testing," IEW - Working Papers 446, Institute for Empirical Research in Economics - University of Zurich.
    2. Ruth Heller & Abba Krieger & Saharon Rosset, 2023. "Optimal multiple testing and design in clinical trials," Biometrics, The International Biometric Society, vol. 79(3), pages 1908-1919, September.
    3. Penney, Jeffrey, 2013. "Hypothesis testing for arbitrary bounds," Economics Letters, Elsevier, vol. 121(3), pages 492-494.
    4. Zeng-Hua Lu, 2016. "Extended MaxT Tests of One-Sided Hypotheses," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(513), pages 423-437, March.
    5. Zeng-Hua Lu, 2019. "Extended MinP Tests of Multiple Hypotheses," Papers 1911.04696, arXiv.org.
    6. Christian Ritz & Rikke Pilmann Laursen & Camilla Trab Damsgaard, 2017. "Simultaneous inference for multilevel linear mixed models—with an application to a large-scale school meal study," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 295-311, February.
    7. Saharon Rosset & Ruth Heller & Amichai Painsky & Ehud Aharoni, 2022. "Optimal and maximin procedures for multiple testing problems," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(4), pages 1105-1128, September.
    8. Taddesse Kassahun & Eshetu Wencheko & Arne C. Bathke, 2023. "Nonparametric directional testing for multivariate problems in conjunction with a closed testing principle," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 349-363, June.

  26. Joseph P. Romano & Michael Wolf, 2008. "Balanced Control of Generalized Error Rates," IEW - Working Papers 379, Institute for Empirical Research in Economics - University of Zurich.

    Cited by:

    1. Christopher J. Bennett, 2009. "p-Value Adjustments for Asymptotic Control of the Generalized Familywise Error Rate," Vanderbilt University Department of Economics Working Papers 0905, Vanderbilt University Department of Economics.

  27. Oliver Ledoit & Michael Wolf, 2008. "Robust Performance Hypothesis Testing with the Sharpe Ratio," IEW - Working Papers 320, Institute for Empirical Research in Economics - University of Zurich.

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    14. Malavasi, Matteo & Ortobelli Lozza, Sergio & Trück, Stefan, 2021. "Second order of stochastic dominance efficiency vs mean variance efficiency," European Journal of Operational Research, Elsevier, vol. 290(3), pages 1192-1206.
    15. Giovanni Bonaccolto & Massimiliano Caporin & Sandra Paterlini, 2015. "Asset Allocation Strategies Based On Penalized Quantile Regression," "Marco Fanno" Working Papers 0199, Dipartimento di Scienze Economiche "Marco Fanno".
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    22. Flori, Andrea & Regoli, Daniele, 2021. "Revealing Pairs-trading opportunities with long short-term memory networks," European Journal of Operational Research, Elsevier, vol. 295(2), pages 772-791.
    23. Alex Huang, 2013. "Value at risk estimation by quantile regression and kernel estimator," Review of Quantitative Finance and Accounting, Springer, vol. 41(2), pages 225-251, August.
    24. Olivier Ledoit & Michael Wolf, 2018. "Robust performance hypothesis testing with smooth functions of population moments," ECON - Working Papers 305, Department of Economics - University of Zurich.
    25. Massimo Guidolin & Erwin Hansen & Martín Lozano-Banda, 2018. "Portfolio Performance of Linear SDF Models: An Out-of-Sample Assessment," BAFFI CAREFIN Working Papers 1885, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    26. Symitsi, Efthymia & Chalvatzis, Konstantinos J., 2019. "The economic value of Bitcoin: A portfolio analysis of currencies, gold, oil and stocks," Research in International Business and Finance, Elsevier, vol. 48(C), pages 97-110.
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    28. DeMiguel, Victor & Lassance, Nathan & Vrins, Frédéric, 2021. "Optimal Portfolio Diversification via Independent Component Analysis," LIDAM Discussion Papers LFIN 2021014, Université catholique de Louvain, Louvain Finance (LFIN).
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    4. Galizzi, Matteo M. & Navarro-Martínez, Daniel, 2019. "On the external validity of social preference games: a systematic lab-field study," LSE Research Online Documents on Economics 84088, London School of Economics and Political Science, LSE Library.
    5. Christophe Hurlin & Sébastien Laurent & Rogier Quaedvlieg & Stephan Smeekes, 2017. "Risk Measure Inference," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 499-512, October.
    6. Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Journal of Finance, American Finance Association, vol. 75(5), pages 2503-2553, October.
    7. Smeekes, S., 2011. "Bootstrap sequential tests to determine the stationary units in a panel," Research Memorandum 003, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    8. MOON, Hyungsik Roger & PERRON, Benoit, 2010. "Beyond Panel Unit Root Tests: Using Multiple Testing to Determine the Non Stationarity Properties of Individual Series in a Panel," Cahiers de recherche 2010-04, Universite de Montreal, Departement de sciences economiques.
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    18. Joseph P. Romano & Michael Wolf, 2008. "Balanced Control of Generalized Error Rates," IEW - Working Papers 379, Institute for Empirical Research in Economics - University of Zurich.
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    22. Christopher J. Bennett, 2009. "Consistent and Asymptotically Unbiased MinP Tests of Multiple Inequality Moment Restrictions," Vanderbilt University Department of Economics Working Papers 0908, Vanderbilt University Department of Economics.
    23. Jianqing Fan & Kunpeng Li & Yuan Liao, 2020. "Recent Developments on Factor Models and its Applications in Econometric Learning," Papers 2009.10103, arXiv.org.
    24. John List & Azeem Shaikh & Atom Vayalinkal, 2023. "Multiple Testing with Covariate Adjustment in Experimental Economics," Natural Field Experiments 00732, The Field Experiments Website.
    25. Christopher J. Bennett, 2009. "p-Value Adjustments for Asymptotic Control of the Generalized Familywise Error Rate," Vanderbilt University Department of Economics Working Papers 0905, Vanderbilt University Department of Economics.
    26. Martin Huber & Giovanni Mellace, 2015. "Testing Instrument Validity for LATE Identification Based on Inequality Moment Constraints," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 398-411, May.
    27. Westerlund, Joakim & Thuraisamy, Kannan & Sharma, Susan, 2015. "On the use of panel cointegration tests in energy economics," Energy Economics, Elsevier, vol. 50(C), pages 359-363.
    28. Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Stephan Smeekes, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 398-415, May.
    29. Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Papers 2006.04269, arXiv.org.
    30. Li Wang & Xingzhong Xu & Yong A, 2016. "New multiple testing method under no dependency assumption, with application to multiple comparisons problem," Statistical Papers, Springer, vol. 57(1), pages 161-183, March.

  29. Michael Wolf, 2006. "Resampling vs. Shrinkage for Benchmarked Managers," IEW - Working Papers 263, Institute for Empirical Research in Economics - University of Zurich.

    Cited by:

    1. José Luis Barros Fernandes & José Renato Haas Ornelas & Oscar Augusto Martínez Cusicanqui, 2011. "Combining equilibrium, resampling, and analysts' views in portfolio optimization," BIS Papers chapters, in: Bank for International Settlements (ed.), Portfolio and risk management for central banks and sovereign wealth funds, volume 58, pages 75-84, Bank for International Settlements.
    2. Andras Niedermayer & Daniel Niedermayer, 2006. "Applying Markowitz's Critical Line Algorithm," Diskussionsschriften dp0602, Universitaet Bern, Departement Volkswirtschaft.

  30. David Afshartous & Michael Wolf, 2005. "Avoiding Data Snooping in Multilevel and Mixed Effects Models," IEW - Working Papers 260, Institute for Empirical Research in Economics - University of Zurich.

    Cited by:

    1. George Leckie & Harvey Goldstein, 2009. "The limitations of using school league tables to inform school choice," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(4), pages 835-851, October.
    2. Anders Skrondal & Sophia Rabe‐Hesketh, 2009. "Prediction in multilevel generalized linear models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(3), pages 659-687, June.
    3. Afshartous, David & Preston, Richard A., 2010. "Confidence intervals for dependent data: Equating non-overlap with statistical significance," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2296-2305, October.

  31. Joseph P & Romano & Azeem M. Shaikh & Michael Wolf, 2005. "Formalized Data Snooping Based on Generalized Error Rates," IEW - Working Papers 259, Institute for Empirical Research in Economics - University of Zurich.

    Cited by:

    1. Gabriel Frahm & Tobias Wickern & Christof Wiechers, 2012. "Multiple tests for the performance of different investment strategies," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(3), pages 343-383, July.
    2. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-Dimensional Econometrics and Regularized GMM," Papers 1806.01888, arXiv.org, revised Jun 2018.
    3. Finer, David Andrew, 2018. "What Insights Do Taxi Rides Offer into Federal Reserve Leakage?," Working Papers 273, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    4. Orazio Attanasio & Arlen Guarín & Carlos Medina & Costas Meghir, 2017. "Vocational Training for Disadvantaged Youth in Colombia: A Long-Term Follow-Up," American Economic Journal: Applied Economics, American Economic Association, vol. 9(2), pages 131-143, April.
    5. Oliver Ledoit & Michael Wolf, 2008. "Robust Performance Hypothesis Testing with the Sharpe Ratio," IEW - Working Papers 320, Institute for Empirical Research in Economics - University of Zurich.
    6. Pierre-André Chiappori & Monica Costa Dias & Sam Crossman & Costas Meghir, 2020. "Changes in Assortative Matching and Inequality in Income: Evidence for the UK," NBER Working Papers 26933, National Bureau of Economic Research, Inc.
    7. Pallavi Basu & Luella Fu & Alessio Saretto & Wenguang Sun, 2021. "Empirical Bayes Control of the False Discovery Exceedance," Working Papers 2115, Federal Reserve Bank of Dallas.
    8. Olivier Ledoit & Michael Wolf, 2018. "Robust performance hypothesis testing with smooth functions of population moments," ECON - Working Papers 305, Department of Economics - University of Zurich.
    9. Ghanem, Dalia, 2017. "Testing identifying assumptions in nonseparable panel data models," Journal of Econometrics, Elsevier, vol. 197(2), pages 202-217.
    10. Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
    11. Hassanniakalager, Arman & Sermpinis, Georgios & Stasinakis, Charalampos, 2021. "Trading the foreign exchange market with technical analysis and Bayesian Statistics," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 230-251.
    12. Hanck, Christoph, 2008. "Nonstationary-Volatility Robust Panel Unit Root Tests and the Great Moderation," MPRA Paper 11988, University Library of Munich, Germany.
    13. Pedro Carneiro & Tewolde Ghebremeskel & Joseph Keating & Andrea Locatelli, 2012. "Do public health interventions crowd out private health investments? Malaria control policies in Eritrea," CeMMAP working papers CWP12/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Sucarrat, Genaro, 2009. "Forecast Evaluation of Explanatory Models of Financial Variability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-33.
    15. Meghir, Costas & Attanasio, Orazio & Guarín, Arlen & Medina, Carlos, 2015. "Long Term Impacts of Vouchers for Vocational Training: Experimental Evidence for Colombia," CEPR Discussion Papers 10733, C.E.P.R. Discussion Papers.
    16. 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.
    17. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2008. "Control of the False Discovery Rate under Dependence using the Bootstrap and Subsampling," IEW - Working Papers 337, Institute for Empirical Research in Economics - University of Zurich.
    18. Smeekes, S., 2011. "Bootstrap sequential tests to determine the stationary units in a panel," Research Memorandum 003, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    19. Daniel Wilhelm, 2019. "Testing for the presence of measurement error," CeMMAP working papers CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Olivier Scaillet & Adrien Treccani & Christopher Trevisan, 2017. "High-Frequency Jump Analysis of the Bitcoin Market," Papers 1704.08175, arXiv.org, revised Jun 2017.
    21. Zacharias Maniadis & Fabio Tufano & John A. List, 2014. "One Swallow Doesn't Make a Summer: New Evidence on Anchoring Effects," American Economic Review, American Economic Association, vol. 104(1), pages 277-290, January.
    22. Kuang, P. & Schröder, M. & Wang, Q., 2014. "Illusory profitability of technical analysis in emerging foreign exchange markets," International Journal of Forecasting, Elsevier, vol. 30(2), pages 192-205.
    23. Will Dobbie & Roland G. Fryer Jr., 2015. "The Medium-Term Impacts of High-Achieving Charter Schools," Journal of Political Economy, University of Chicago Press, vol. 123(5), pages 985-1037.
    24. Pierre-Andre Chiappori & Monica Costa Dias & Costas Meghir, 2020. "Changes in Assortative Matching: Theory and Evidence for the US," Cowles Foundation Discussion Papers 2226, Cowles Foundation for Research in Economics, Yale University.
    25. Hanck, Christoph, 2011. "Now, whose schools are really better (or weaker) than Germany's? A multiple testing approach," Economic Modelling, Elsevier, vol. 28(4), pages 1739-1746, July.
    26. John A. List & Azeem M. Shaikh & Yang Xu, 2016. "Multiple Hypothesis Testing in Experimental Economics," NBER Working Papers 21875, National Bureau of Economic Research, Inc.
    27. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009. "Hypothesis testing in econometrics," IEW - Working Papers 444, Institute for Empirical Research in Economics - University of Zurich.
    28. James J. Heckman & Rodrigo Pinto & Azeem Shaikh, 2023. "Dealing with Imperfect Randomization: Inference for the HighScope Perry Preschool Program," Working Papers 2023-031, Human Capital and Economic Opportunity Working Group.
    29. Stephen A. Gorman & Frank J. Fabozzi, 2021. "The ABC’s of the alternative risk premium: academic roots," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 405-436, October.
    30. Hanck, C.H., 2009. "Nonstationary-volatility robust panel unit root tests and the great moderation," Research Memorandum 009, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    31. Dario Bruzzese & Domenico Vistocco, 2015. "DESPOTA: DEndrogram Slicing through a PemutatiOn Test Approach," Journal of Classification, Springer;The Classification Society, vol. 32(2), pages 285-304, July.
    32. David R. Bell & Olivier Ledoit & Michael Wolf, 2012. "A new portfolio formation approach to mispricing of marketing performance indicators with an application to customer satisfaction," ECON - Working Papers 079, Department of Economics - University of Zurich, revised Dec 2013.
    33. Barras, Laurent & Scaillet, Olivier & Wermers, Russ, 2009. "False discoveries in mutual fund performance: Measuring luck in estimated alphas," CFR Working Papers 06-02, University of Cologne, Centre for Financial Research (CFR).
    34. Garth Heutel, 2017. "Prospect Theory and Energy Efficiency," NBER Working Papers 23692, National Bureau of Economic Research, Inc.
    35. Chesney, Marc & Crameri, Remo & Mancini, Loriano, 2015. "Detecting abnormal trading activities in option markets," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 263-275.
    36. Daniel Bennett & Syed Ali Asjad Naqvi & Wolf‐Peter Schmidt, 2015. "Constraints on Compliance and the Impact of Health Information in Rural Pakistan," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1065-1081, September.
    37. Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Michael Wolf & Dan Wunderli, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 352-376, May.
    38. Pierre Bajgrowicz & Olivier Scaillet & Adrien Treccani, 2016. "Jumps in High-Frequency Data: Spurious Detections, Dynamics, and News," Management Science, INFORMS, vol. 62(8), pages 2198-2217, August.
    39. James Heckman & Rodrigo Pinto, 2020. "Inference with Imperfect Randomization: The Case of the Perry Preschool Program," Working Papers 2020-97, Becker Friedman Institute for Research In Economics.
    40. Minyou Fan & Youwei Li & Ming Liao & Jiadong Liu, 2022. "A reexamination of factor momentum: How strong is it?," The Financial Review, Eastern Finance Association, vol. 57(3), pages 585-615, August.
    41. Joseph P. Romano & Michael Wolf, 2016. "Efficient computation of adjusted p-values for resampling-based stepdown multiple testing," ECON - Working Papers 219, Department of Economics - University of Zurich.
    42. Deckers, Thomas & Hanck, Christoph, 2009. "Multiple Testing Techniques in Growth Econometrics," MPRA Paper 17843, University Library of Munich, Germany.
    43. Zeng-Hua Lu, 2019. "Extended MinP Tests of Multiple Hypotheses," Papers 1911.04696, arXiv.org.
    44. Maurizio Mazzocco & Shiv Saini, 2012. "Testing Efficient Risk Sharing with Heterogeneous Risk Preferences," American Economic Review, American Economic Association, vol. 102(1), pages 428-468, February.
    45. Hanck, Christoph, 2008. "An intersection test for panel unit roots," Technical Reports 2008,11, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    46. Michele La Rocca & Cira Perna, 2022. "Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning," Stats, MDPI, vol. 5(2), pages 1-18, April.
    47. John List & Azeem Shaikh & Atom Vayalinkal, 2023. "Multiple Testing with Covariate Adjustment in Experimental Economics," Natural Field Experiments 00732, The Field Experiments Website.
    48. Alvaro Escribano & Genaro Sucarrat, 2011. "Automated model selection in finance: General-to-speci c modelling of the mean and volatility speci cations," Working Papers 2011-09, Instituto Madrileño de Estudios Avanzados (IMDEA) Ciencias Sociales.
    49. Adriano Koshiyama & Nick Firoozye, 2019. "Avoiding Backtesting Overfitting by Covariance-Penalties: an empirical investigation of the ordinary and total least squares cases," Papers 1905.05023, arXiv.org.
    50. Christopher J. Bennett, 2009. "p-Value Adjustments for Asymptotic Control of the Generalized Familywise Error Rate," Vanderbilt University Department of Economics Working Papers 0905, Vanderbilt University Department of Economics.
    51. Pierre-Andre Chiappori & Monica Costa Dias & Costas Meghir, 2021. "The Measuring of Assortativeness in Marriage," Cowles Foundation Discussion Papers 2316, Cowles Foundation for Research in Economics, Yale University.
    52. Genaro Sucarrat & Alvaro Escribano, 2012. "Automated Model Selection in Finance: General-to-Specific Modelling of the Mean and Volatility Specifications," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(5), pages 716-735, October.
    53. Joseph Romano & Azeem Shaikh & Michael Wolf, 2008. "Rejoinder on: Control of the false discovery rate under dependence using the bootstrap and subsampling," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(3), pages 461-471, November.
    54. Michael Wolf & Dan Wunderli, 2012. "Bootstrap joint prediction regions," ECON - Working Papers 064, Department of Economics - University of Zurich, revised May 2013.
    55. Bailey, Natalia & Pesaran, M. Hashem & Smith, L. Vanessa, 2019. "A multiple testing approach to the regularisation of large sample correlation matrices," Journal of Econometrics, Elsevier, vol. 208(2), pages 507-534.
    56. Nik Tuzov & Frederi Viens, 2011. "Mutual fund performance: false discoveries, bias, and power," Annals of Finance, Springer, vol. 7(2), pages 137-169, May.
    57. Andrew Y. Chen & Tom Zimmermann, 2022. "Publication Bias in Asset Pricing Research," Papers 2209.13623, arXiv.org, revised Sep 2023.
    58. Ali Hortacsu & Jakub Kastl, "undated". "Testing for Common Values in Canadian Treasury Bill Auctions," Discussion Papers 07-053, Stanford Institute for Economic Policy Research.
    59. Michael Wolf & Dan Wunderli, 2009. "Fund-of-funds construction by statistical multiple testing methods," IEW - Working Papers 445, Institute for Empirical Research in Economics - University of Zurich.
    60. Hanck, Christoph, 2008. "Now, whose schools are really better (or weaker) than Germany's? A multiple testing approach," MPRA Paper 12008, University Library of Munich, Germany.
    61. Georgios Sermpinis & Arman Hassanniakalager & Charalampos Stasinakis & Ioannis Psaradellis, 2018. "Technical Analysis and Discrete False Discovery Rate: Evidence from MSCI Indices," Papers 1811.06766, arXiv.org, revised Jun 2019.
    62. Sucarrat, Genaro & Escribano, Álvaro, 2009. "Automated financial multi-path GETS modelling," UC3M Working papers. Economics we093620, Universidad Carlos III de Madrid. Departamento de Economía.

  32. Joseph P. Romano & Michael Wolf, 2003. "Stepwise Multiple Testing as Formalized Data Snooping," Working Papers 17, Barcelona School of Economics.

    Cited by:

    1. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.
    2. Matei Demetrescu & Uwe Hassler & Vladimir Kuzin, 2011. "Pitfalls of post-model-selection testing: experimental quantification," Empirical Economics, Springer, vol. 40(2), pages 359-372, April.
    3. Gabriel Frahm & Tobias Wickern & Christof Wiechers, 2012. "Multiple tests for the performance of different investment strategies," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(3), pages 343-383, July.
    4. Aline Bütikofer & Rita Ginja & Fanny Landaud & Katrine Løken, 2020. "School Selectivity, Peers, and Mental Health," Working Papers 2020-074, Human Capital and Economic Opportunity Working Group.
    5. Gabriella Conti & Stavros Poupakis & Peter Ekamper & Govert Bijwaard & L. H. Lumey, 2021. "Severe Prenatal Shocks and Adolescent Health: Evidence from the Dutch Hunger Winter," Working Papers 2021-056, Human Capital and Economic Opportunity Working Group.
    6. Corvalan, Alejandro & Pazzona, Matteo, 2019. "Persistent commodity shocks and transitory crime effects," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 110-127.
    7. Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2016. "Testing many moment inequalities," CeMMAP working papers CWP42/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Santiago Pérez-Cardona, 2022. "Let the rebels rule? Evidence on the economic effects of rebel governance in Colombia," Documentos CEDE 19941, Universidad de los Andes, Facultad de Economía, CEDE.
    9. Christian Walkshäusl & Sebastian Lobe, 2010. "Fundamental indexing around the world," Review of Financial Economics, John Wiley & Sons, vol. 19(3), pages 117-127, August.
    10. Coakley, Jerry & Marzano, Michele & Nankervis, John, 2016. "How profitable are FX technical trading rules?," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 273-282.
    11. Finer, David Andrew, 2018. "What Insights Do Taxi Rides Offer into Federal Reserve Leakage?," Working Papers 273, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    12. Ginja, Rita & Jans, Jenny & Karimi, Arizo, 2017. "Parental Investments in Early Life and Child Outcomes: Evidence from Swedish Parental Leave Rules," IZA Discussion Papers 11106, Institute of Labor Economics (IZA).
    13. Costantini, Mauro & Crespo Cuaresma, Jesus & Hlouskova, Jaroslava, 2014. "Can Macroeconomists Get Rich Forecasting Exchange Rates?," Department of Economics Working Paper Series 176, WU Vienna University of Economics and Business.
    14. Moriconi, Simone & Peri, Giovanni & Turati, Riccardo, 2022. "Skill of the immigrants and vote of the natives: Immigration and nationalism in European elections 2007–2016," European Economic Review, Elsevier, vol. 141(C).
    15. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    16. Mikola, Derek & Webb, Matthew D., 2023. "Finish it and it is free: An evaluation of college graduation subsidies," Economics of Education Review, Elsevier, vol. 93(C).
    17. Paul Dolan & Christian Krekel & Helen Lee & Claire Marshall & Ganga Shreedhar & Allison Smith, 2021. "Happy to help: The welfare effects of a nationwide micro-volunteering programme," CEP Discussion Papers dp1772, Centre for Economic Performance, LSE.
    18. Magne Mogstad & Joseph P. Romano & Daniel Wilhelm & Azeem M. Shaikh, 2020. "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers CWP10/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
    20. Hermes, Henning & Mierisch, Fabian & Peter, Frauke & Wiederhold, Simon & Lergetporer, Philipp, 2023. "Discrimination on the Child Care Market: A Nationwide Field Experiment," IZA Discussion Papers 16082, Institute of Labor Economics (IZA).
    21. Cujean, Julien & Andrei, Daniel & Fournier, Mathieu, 2019. "The Low-Minus-High Portfolio and the Factor Zoo," CEPR Discussion Papers 14153, C.E.P.R. Discussion Papers.
    22. Sebastian O. Schneider & Matthias Sutter, 2020. "Higher Order Risk Preferences: New Experimental Measures, Determinants and Field Behavior," CESifo Working Paper Series 8544, CESifo.
    23. Lu, Tsung-Hsun & Chen, Yi-Chi & Hsu, Yu-Chin, 2015. "Trend definition or holding strategy: What determines the profitability of candlestick charting?," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 172-183.
    24. Zhuang Hao & Huihui Cheng & Till Bärnighausen & Simiao Chen, 2024. "The effects of parental retirement on adult children's health: Evidence from China," Health Economics, John Wiley & Sons, Ltd., vol. 33(1), pages 12-20, January.
    25. Rute M. Caeiro & Pedro C. Vicente, 2020. "Knowledge of vitamin A deficiency and crop adoption: Evidence from a field experiment in Mozambique," Agricultural Economics, International Association of Agricultural Economists, vol. 51(2), pages 175-190, March.
    26. Orazio Attanasio & Arlen Guarín & Carlos Medina & Costas Meghir, 2017. "Vocational Training for Disadvantaged Youth in Colombia: A Long-Term Follow-Up," American Economic Journal: Applied Economics, American Economic Association, vol. 9(2), pages 131-143, April.
    27. Aparicio Fenoll, Ainoa & Zaccagni, Sarah, 2022. "Gender mix and team performance: Differences between exogenously and endogenously formed teams," Labour Economics, Elsevier, vol. 79(C).
    28. Naveen Sunder, 2019. "Marriage Age, Social Status, and Intergenerational Effects in Uganda," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2123-2146, December.
    29. Pierre-André Chiappori & Monica Costa Dias & Sam Crossman & Costas Meghir, 2020. "Changes in Assortative Matching and Inequality in Income: Evidence for the UK," NBER Working Papers 26933, National Bureau of Economic Research, Inc.
    30. Pierre Perron & Sungju Chun & Cosme Vodounou, 2011. "Sampling Interval and Estimated Betas: Implications for the Presence of Transitory Components in Stock Prices," Boston University - Department of Economics - Working Papers Series WP2011-055, Boston University - Department of Economics.
    31. Akabayashi, Hideo & Ruberg, Tim & Shikishima, Chizuru & Yamashita, Jun, 2023. "Education-oriented and care-oriented preschools: Implications on child development," Labour Economics, Elsevier, vol. 84(C).
    32. Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio Codina, 2017. "Estimating the production function for human capital: results from a randomized controlled trial in Colombia," IFS Working Papers W17/06, Institute for Fiscal Studies.
    33. Philippe De Vreyer & Björn Nilsson, 2016. "When Solidarity Fails: Heterogeneous Effects of Orphanhood in Senegalese Households," Working Papers DT/2016/17, DIAL (Développement, Institutions et Mondialisation).
    34. Jaschke Philipp & Sulin Sardoschau & Marco Tabellini, 2021. "Scared Straight? Threat and Assimilation of Refugees in Germany," RF Berlin - CReAM Discussion Paper Series 2136, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    35. Simon Jäger & Benjamin Schoefer & Jörg Heining, 2019. "Labor in the Boardroom," NBER Working Papers 26519, National Bureau of Economic Research, Inc.
    36. Valentina Corradi & Norman Swanson, 2013. "A Survey of Recent Advances in Forecast Accuracy Comparison Testing, with an Extension to Stochastic Dominance," Departmental Working Papers 201309, Rutgers University, Department of Economics.
    37. Michelle Marcus & Pedro H. C. Sant’Anna, 2021. "The Role of Parallel Trends in Event Study Settings: An Application to Environmental Economics," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 8(2), pages 235-275.
    38. Bhalotra, S & Clarke, D & Muhlrad, H & Palme, M, 2022. "Health and Labor Market Impacts of Twin Birth: Evidence from a Swedish IVF Policy Mandate," CAGE Online Working Paper Series 602, Competitive Advantage in the Global Economy (CAGE).
    39. Jens Ludwig & Sendhil Mullainathan & Jann Spiess, 2017. "Machine-Learning Tests for Effects on Multiple Outcomes," Papers 1707.01473, arXiv.org, revised May 2019.
    40. Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
    41. Abrahamsen, Signe A. & Ginja, Rita & Riise, Julie, 2021. "School Health Programs: Education, Health and Welfare Dependency of Young Adults," CINCH Working Paper Series (since 2020) 74644, Duisburg-Essen University Library, DuEPublico.
    42. Vinish Shrestha, 2019. "Cigarette Prices and Driving Fatalities Among Youths," Working Papers 2019-02, Towson University, Department of Economics, revised Aug 2019.
    43. Hassanniakalager, Arman & Sermpinis, Georgios & Stasinakis, Charalampos, 2021. "Trading the foreign exchange market with technical analysis and Bayesian Statistics," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 230-251.
    44. David Afshartous & Michael Wolf, 2007. "Avoiding ‘data snooping’ in multilevel and mixed effects models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 1035-1059, October.
    45. Byunghoon Kang, 2017. "Inference in Nonparametric Series Estimation with Data-Dependent Undersmoothing," Working Papers 170712442, Lancaster University Management School, Economics Department.
    46. Ishak, Phoebe W., 2021. "Murder nature weather and violent crime in Brazil," Discussion Papers 2021/2, Free University Berlin, School of Business & Economics.
    47. Clarke, Damian & Cortés, Gustavo & Vergara, Diego, 2017. "Growing Together: Assessing Equity and Effciency in an Early-Life Health Program in Chile," Research Department working papers 1139, CAF Development Bank Of Latinamerica.
    48. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
    49. Huebener, Mathias & Kuehnle, Daniel & Spiess, C. Katharina, 2019. "Parental leave policies and socio-economic gaps in child development: Evidence from a substantial benefit reform using administrative data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 61.
    50. Carneiro, Pedro & Ginja, Rita, 2012. "Long Term Impacts of Compensatory Preschool on Health and Behavior: Evidence from Head Start," Working Paper Series 2012:5, Uppsala University, Department of Economics.
    51. Orazio Attanasio & Helen Baker-Henningham & Raquel Bernal & Costas Meghir & Diana Pineda & Marta Rubio-Codina, 2022. "Early Stimulation and Nutrition: The Impacts of a Scalable Intervention," Journal of the European Economic Association, European Economic Association, vol. 20(4), pages 1395-1432.
    52. Pedro Carneiro & Tewolde Ghebremeskel & Joseph Keating & Andrea Locatelli, 2012. "Do public health interventions crowd out private health investments? Malaria control policies in Eritrea," CeMMAP working papers CWP12/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    53. Marina Bassi & Costas Meghir & Ana Reynoso, 2019. "Education Quality and Teaching Practices," Cowles Foundation Discussion Papers 2181, Cowles Foundation for Research in Economics, Yale University.
    54. Malte Sandner & Thomas Cornelissen & Tanja Jungmann & Peggy Herrmann, 2017. "Evaluating the Effects of a Targeted Home Visiting Program on Maternal and Child Health Outcomes," Working Papers 2017-031, Human Capital and Economic Opportunity Working Group.
    55. Wei Wei & Asger Lunde, 2023. "Identifying Risk Factors and Their Premia: A Study on Electricity Prices," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1647-1679.
    56. Hermes, Henning & Lergetporer, Philipp & Mierisch, Fabian & Peter, Frauke & Wiederhold, Simon, 2024. "Discrimination in Universal Social Programs? A Nationwide Field Experiment on Access to Child Care," IWH Discussion Papers 12/2023, Halle Institute for Economic Research (IWH), revised 2024.
    57. Grácio, Matilde & Vicente, Pedro C., 2021. "Information, get-out-the-vote messages, and peer influence: Causal effects on political behavior in Mozambique," Journal of Development Economics, Elsevier, vol. 151(C).
    58. Britta Augsburg & Bet Caeyers & Sara Giunti & Bansi Malde & Susanna Smets, 2020. "Labelled Loans and Human Capital Investments," IFS Working Papers W20/20, Institute for Fiscal Studies.
    59. Timmermann, Allan, 2018. "Forecasting Methods in Finance," CEPR Discussion Papers 12692, C.E.P.R. Discussion Papers.
    60. Borbely, Daniel & Norris, Jonathan & Romiti, Agnese, 2021. "Peer Gender and Schooling: Evidence from Ethiopia," IZA Discussion Papers 14439, Institute of Labor Economics (IZA).
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    1. Caicedo-Llano, Juliana & Dionysopoulos, Thomas, 2008. "Market integration: A risk-budgeting guide for pure alpha investors," Journal of Multinational Financial Management, Elsevier, vol. 18(4), pages 313-327, October.
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    4. Gopal K. Basak & Ravi Jagannathan & Tongshu Ma, 2004. "A Jackknife Estimator for Tracking Error Variance of Optimal Portfolios Constructed Using Estimated Inputs1," NBER Working Papers 10447, National Bureau of Economic Research, Inc.
    5. Michael W. Brandt & Pedro Santa-Clara & Rossen Valkanov, 2009. "Parametric Portfolio Policies: Exploiting Characteristics in the Cross-Section of Equity Returns," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3411-3447, September.
    6. Michael Wolf, 2006. "Resampling vs. Shrinkage for Benchmarked Managers," IEW - Working Papers 263, Institute for Empirical Research in Economics - University of Zurich.
    7. Popovic, Gordana C. & Hui, Francis K.C. & Warton, David I., 2018. "A general algorithm for covariance modeling of discrete data," Journal of Multivariate Analysis, Elsevier, vol. 165(C), pages 86-100.
    8. Paolo Andreini & Donato Ceci, 2019. "A Horse Race in High Dimensional Space," CEIS Research Paper 452, Tor Vergata University, CEIS, revised 14 Feb 2019.
    9. Yuanrong Wang & Tomaso Aste, 2021. "Dynamic Portfolio Optimization with Inverse Covariance Clustering," Papers 2112.15499, arXiv.org, revised Jan 2022.
    10. Soufiane Hayou, 2017. "On the overestimation of the largest eigenvalue of a covariance matrix," Papers 1708.03551, arXiv.org.
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    12. Massimo Guidolin & Kai Wang, 2022. "The Empirical Performance of Option Implied Volatility Surface-Driven Optimal Portfolios," BAFFI CAREFIN Working Papers 22190, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    13. Perreault, Samuel & Duchesne, Thierry & Nešlehová, Johanna G., 2019. "Detection of block-exchangeable structure in large-scale correlation matrices," Journal of Multivariate Analysis, Elsevier, vol. 169(C), pages 400-422.

  34. Joseph Romano & Michael Wolf, 2003. "Exact and approximate stepdown methods for multiple hypothesis testing," Economics Working Papers 727, Department of Economics and Business, Universitat Pompeu Fabra.

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    1. Corvalan, Alejandro & Pazzona, Matteo, 2019. "Persistent commodity shocks and transitory crime effects," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 110-127.
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    5. Veronica Frisancho, 2023. "Is School-Based Financial Education Effective? Immediate and Long-Lasting Impacts on High School Students," The Economic Journal, Royal Economic Society, vol. 133(651), pages 1147-1180.
    6. Peter A. Savelyev & Kegon T. K. Tan, 2019. "Socioemotional Skills, Education, and Health-Related Outcomes of High-Ability Individuals," American Journal of Health Economics, University of Chicago Press, vol. 5(2), pages 250-280, Spring.
    7. Belloni, Alexandre & Chen, Mingli & Chernozhukov, Victor, 2016. "Quantile Graphical Models : Prediction and Conditional Independence with Applications to Financial Risk Management," Economic Research Papers 269321, University of Warwick - Department of Economics.
    8. Erika Deserranno & Gianmarco León-Ciliotta & Firman Witoelar, 2021. "When transparency fails: Financial incentives for local banking agents in Indonesia," Departmental Working Papers 2021-04, The Australian National University, Arndt-Corden Department of Economics.
    9. Paul Dolan & Christian Krekel & Helen Lee & Claire Marshall & Ganga Shreedhar & Allison Smith, 2021. "Happy to help: The welfare effects of a nationwide micro-volunteering programme," CEP Discussion Papers dp1772, Centre for Economic Performance, LSE.
    10. Sebastian O. Schneider & Matthias Sutter, 2020. "Higher Order Risk Preferences: New Experimental Measures, Determinants and Field Behavior," CESifo Working Paper Series 8544, CESifo.
    11. Zhuang Hao & Huihui Cheng & Till Bärnighausen & Simiao Chen, 2024. "The effects of parental retirement on adult children's health: Evidence from China," Health Economics, John Wiley & Sons, Ltd., vol. 33(1), pages 12-20, January.
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    14. Rute M. Caeiro & Pedro C. Vicente, 2020. "Knowledge of vitamin A deficiency and crop adoption: Evidence from a field experiment in Mozambique," Agricultural Economics, International Association of Agricultural Economists, vol. 51(2), pages 175-190, March.
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    17. Jessamyn Schaller & Mariana Zerpa, 2019. "Short-Run Effects of Parental Job Loss on Child Health," American Journal of Health Economics, University of Chicago Press, vol. 5(1), pages 8-41, Winter.
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    19. Jaschke Philipp & Sulin Sardoschau & Marco Tabellini, 2021. "Scared Straight? Threat and Assimilation of Refugees in Germany," RF Berlin - CReAM Discussion Paper Series 2136, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    20. Ghanem, Dalia, 2017. "Testing identifying assumptions in nonseparable panel data models," Journal of Econometrics, Elsevier, vol. 197(2), pages 202-217.
    21. Vinish Shrestha, 2019. "Cigarette Prices and Driving Fatalities Among Youths," Working Papers 2019-02, Towson University, Department of Economics, revised Aug 2019.
    22. Fabian Kosse & Thomas Deckers & Hannah Schildberg-Hörisch & Armin Falk, 2016. "The Formation of Prosociality: Causal Evidence on the Role of Social Environment," SOEPpapers on Multidisciplinary Panel Data Research 840, DIW Berlin, The German Socio-Economic Panel (SOEP).
    23. Alexandre Belloni & Mingli Chen & Victor Chernozhukov, 2016. "Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk," Papers 1607.00286, arXiv.org, revised Oct 2019.
    24. Victor Chernozhukov & Wolfgang Härdle & Chen Huang & Weining Wang, 2019. "LASSO-Driven Inference in Time and Space," CeMMAP working papers CWP20/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. Ishak, Phoebe W., 2021. "Murder nature weather and violent crime in Brazil," Discussion Papers 2021/2, Free University Berlin, School of Business & Economics.
    26. Susan Athey & Emil Palikot, 2022. "Effective and scalable programs to facilitate labor market transitions for women in technology," Papers 2211.09968, arXiv.org, revised Jan 2024.
    27. Del Boca, Daniela & Biroli, Pietro & Heckman, James & Heckman, Lynne Pettler & Kuperman, Sylvi & Moktan, Sidharth & Pronzato, Chiara & Koh, Yu Kyung & Ziff, Anna, 2017. "Evaluation of the Reggio Approach to Early Education," CEPR Discussion Papers 12031, C.E.P.R. Discussion Papers.
    28. Malte Sandner & Thomas Cornelissen & Tanja Jungmann & Peggy Herrmann, 2017. "Evaluating the Effects of a Targeted Home Visiting Program on Maternal and Child Health Outcomes," Working Papers 2017-031, Human Capital and Economic Opportunity Working Group.
    29. Grácio, Matilde & Vicente, Pedro C., 2021. "Information, get-out-the-vote messages, and peer influence: Causal effects on political behavior in Mozambique," Journal of Development Economics, Elsevier, vol. 151(C).
    30. Orla Doyle, 2017. "The First 2,000 Days and Child Skills: Evidence from a Randomized Experiment of Home Visiting," Working Papers 2017-054, Human Capital and Economic Opportunity Working Group.
    31. Engelhardt, Gary V. & Purcell, Patrick J., 2021. "The minimum wage and annual earnings inequality," Economics Letters, Elsevier, vol. 207(C).
    32. Lehrer, Steven F. & Pohl, R. Vincent & Song, Kyungchul, 2018. "Multiple Testing and the Distributional Effects of Accountability Incentives in Education," MPRA Paper 89532, University Library of Munich, Germany.
    33. Jay Bartroff & Jinlin Song, 2016. "A Rejection Principle for Sequential Tests of Multiple Hypotheses Controlling Familywise Error Rates," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(1), pages 3-19, March.
    34. Philipp Jaschke & Sulin Sardoschau & Marco Tabellini, 2023. "Scared Straight? Threat and Assimilation of Refugees in Germany," Rationality and Competition Discussion Paper Series 384, CRC TRR 190 Rationality and Competition.
    35. Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2012. "Central limit theorems and multiplier bootstrap when p is much larger than n," CeMMAP working papers CWP45/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    36. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    37. Galizzi, Matteo M. & Navarro-Martínez, Daniel, 2019. "On the external validity of social preference games: a systematic lab-field study," LSE Research Online Documents on Economics 84088, London School of Economics and Political Science, LSE Library.
    38. Hoffmann, Vivian & Rao, Vijayendra & Surendra, Vaishnavi & Datta, Upamanyu, 2021. "Relief from usury: Impact of a self-help group lending program in rural India," Journal of Development Economics, Elsevier, vol. 148(C).
    39. Fracchia, Mattia & Molina-Millán, Teresa & Vicente, Pedro C., 2023. "Motivating volunteer health workers in an African capital city," Journal of Development Economics, Elsevier, vol. 163(C).
    40. Oscar Barrera & Sergei Guriev & Emeric Henry & Ekaterina Zhuravskaya, 2018. "Facts, Alternative Facts, and Fact Checking in Times of Post-Truth Politics," Working Papers hal-03393114, HAL.
    41. Rossi, Pauline & Villar, Paola, 2020. "Private health investments under competing risks: Evidence from malaria control in Senegal," Journal of Health Economics, Elsevier, vol. 73(C).
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    175. Bertoni, Marco & Brunello, Giorgio & De Benedetto, Marco Alberto & De Paola, Maria, 2021. "Does monitoring deter future cheating? The case of external examiners in Italian schools," Economics Letters, Elsevier, vol. 201(C).
    176. Gonzalo Nunez-Chaim & Henry G. Overman & Capucine Riom, 2024. "Does subsidising business advice improve firm performance? Evidence from a large RCT," CEP Discussion Papers dp1977, Centre for Economic Performance, LSE.
    177. Georg Hahn, 2018. "Closure properties of classes of multiple testing procedures," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(2), pages 167-178, April.
    178. Orla Doyle & Nick Fitzpatrick & Judy Lovett & Caroline Rawdon, 2015. "Early intervention and child physical health: Evidence from a Dublin-based randomized controlled trial," Working Papers 2015-016, Human Capital and Economic Opportunity Working Group.
    179. Li, Juan & Song, Weixing & Shi, Jianhong, 2015. "Parametric bootstrap simultaneous confidence intervals for differences of means from several two-parameter exponential distributions," Statistics & Probability Letters, Elsevier, vol. 106(C), pages 39-45.
    180. Enrico Miglino & Nicolás Navarrete H. & Gonzalo Navarrete H. & Pablo Navarrete H., 2023. "Health Effects of Increasing Income for the Elderly: Evidence from a Chilean Pension Program," American Economic Journal: Economic Policy, American Economic Association, vol. 15(1), pages 370-393, February.
    181. Nader Trabelsi & Aviral Kumar Tiwari, 2023. "CO2 Emission Allowances Risk Prediction with GAS and GARCH Models," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 775-805, February.
    182. Akhter U. Ahmed & John Hoddinott & Naveen Abedin & Nusrat Hossain, 2021. "The Impacts of GM Foods: Results from a Randomized Controlled Trial of Bt Eggplant in Bangladesh," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1186-1206, August.
    183. Chor, Elise & Andresen, Martin Eckhoff & Kalil, Ariel, 2016. "The impact of universal prekindergarten on family behavior and child outcomes," Economics of Education Review, Elsevier, vol. 55(C), pages 168-181.
    184. Capuno, Joseph & Kraft, Aleli & O'Donnell, Owen, 2021. "Effectiveness of clinic-based cardiovascular disease prevention: A randomized encouragement design experiment in the Philippines," Social Science & Medicine, Elsevier, vol. 283(C).
    185. Kean Ming Tan & Junwei Lu & Tong Zhang & Han Liu, 2021. "Estimating and inferring the maximum degree of stimulus‐locked time‐varying brain connectivity networks," Biometrics, The International Biometric Society, vol. 77(2), pages 379-390, June.
    186. Liebl, Dominik & Rameseder, Stefan, 2019. "Partially observed functional data: The case of systematically missing parts," Computational Statistics & Data Analysis, Elsevier, vol. 131(C), pages 104-115.
    187. Cortés, Darwin & Maldonado, Darío & Gallego, Juan & Charpak, Nathalie & Tessier, Rejean & Ruiz, Juan Gabriel & Hernandez, José Tiberio & Uriza, Felipe & Pico, Julieth, 2022. "Comparing long-term educational effects of two early childhood health interventions," Journal of Health Economics, Elsevier, vol. 86(C).
    188. Giuseppe Cavaliere & Zeng-Hua Lu & Anders Rahbek & Yuhong Yang, 2021. "MinP Score Tests with an Inequality Constrained Parameter Space," Papers 2107.06089, arXiv.org.
    189. Antinyan, Armenak & Bellio, Stefania & Bertoni, Marco & Corazzini, Luca & Narne, Elena, 2021. "Digital Access to Healthcare Services and Healthcare Utilization: A Quasi-Experiment," IZA Discussion Papers 14916, Institute of Labor Economics (IZA).
    190. Iñigo Hernandez-Arenaz & Nagore Iriberri, 2023. "Gender differences in alternating-offer bargaining: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 26(4), pages 879-914, September.
    191. Chen, Qihui & Wang, Xiaobing & Zhao, Qiran, 2019. "Appearance Discrimination in Grading? − Evidence from Migrant Schools in China," Economics Letters, Elsevier, vol. 181(C), pages 116-119.
    192. Joseph P. Romano & Michael Wolf, "undated". "Control of Generalized Error Rates in Multiple Testing," IEW - Working Papers 245, Institute for Empirical Research in Economics - University of Zurich.
    193. Pinto, Rodrigo, 2010. "Evaluation of Small-sample Compromised Randomization: Long-term Effects of Early Childhood Intervention on Health and Addictive Behavior," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(2), December.
    194. Aldo Solari & Livio Finos & Jelle J. Goeman, 2014. "Rotation-based multiple testing in the multivariate linear model," Biometrics, The International Biometric Society, vol. 70(4), pages 954-961, December.
    195. von Haaren, Paula & Klonner, Stefan, 2020. "Maternal cash for better child health? The impacts of India’s IGMSY/PMMVY maternity benefit scheme," Working Papers 0689, University of Heidelberg, Department of Economics.

  35. Romano, Joseph P. & Wolf, Michael, 2001. "Improved nonparametric confidence intervals in time series regressions," DES - Working Papers. Statistics and Econometrics. WS ws010201, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Jose Dias Curto & Jose Castro Pinto, 2009. "The coefficient of variation asymptotic distribution in the case of non-iid random variables," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(1), pages 21-32.
    2. Oliver Ledoit & Michael Wolf, 2008. "Robust Performance Hypothesis Testing with the Sharpe Ratio," IEW - Working Papers 320, Institute for Empirical Research in Economics - University of Zurich.
    3. Olivier Ledoit & Michael Wolf, 2018. "Robust performance hypothesis testing with smooth functions of population moments," ECON - Working Papers 305, Department of Economics - University of Zurich.
    4. Massimo Guidolin & Erwin Hansen & Martín Lozano-Banda, 2018. "Portfolio Performance of Linear SDF Models: An Out-of-Sample Assessment," BAFFI CAREFIN Working Papers 1885, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2008. "Control of the False Discovery Rate under Dependence using the Bootstrap and Subsampling," IEW - Working Papers 337, Institute for Empirical Research in Economics - University of Zurich.
    6. Joseph P. Romano & Michael Wolf, 2003. "Stepwise multiple testing as formalized data snooping," Economics Working Papers 712, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Joseph P & Romano & Azeem M. Shaikh & Michael Wolf, 2005. "Formalized Data Snooping Based on Generalized Error Rates," IEW - Working Papers 259, Institute for Empirical Research in Economics - University of Zurich.
    8. Bakshi, Gurdip & Panayotov, George & Skoulakis, Georgios, 2011. "Improving the predictability of real economic activity and asset returns with forward variances inferred from option portfolios," Journal of Financial Economics, Elsevier, vol. 100(3), pages 475-495, June.
    9. Yeonwoo Rho & Xiaofeng Shao, 2015. "Inference for Time Series Regression Models With Weakly Dependent and Heteroscedastic Errors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 444-457, July.
    10. Auer, Benjamin R. & Schuhmacher, Frank, 2013. "Performance hypothesis testing with the Sharpe ratio: The case of hedge funds," Finance Research Letters, Elsevier, vol. 10(4), pages 196-208.

  36. Olivier Ledoit & Michael Wolf, 2001. "Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size," Economics Working Papers 575, Department of Economics and Business, Universitat Pompeu Fabra.

    Cited by:

    1. Stanislav Anatolyev, 2009. "Inference in Regression Models with Many Regressors," Working Papers w0125, New Economic School (NES).
    2. Olivier Ledoit & Sandrine P�ch�, 2009. "Eigenvectors of some large sample covariance matrices ensembles," IEW - Working Papers 407, Institute for Empirical Research in Economics - University of Zurich.
    3. Bhattacharjee, Arnab & Sun, Qi & Chadha, Jagjit S., 2008. "Productivity, Preferences and UIP deviations in an Open Economy Business Cycle Model," SIRE Discussion Papers 2008-53, Scottish Institute for Research in Economics (SIRE).

  37. Romano, Joseph P. & Wolf, Michael, 2001. "Explicit nonparametric confidence intervals for the variance with guaranteed coverage," DES - Working Papers. Statistics and Econometrics. WS ws010302, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Karl Schlag, 2008. "A new method for constructing exact tests without making any assumptions," Economics Working Papers 1109, Department of Economics and Business, Universitat Pompeu Fabra.

  38. Jesús Gonzalo & Michael Wolf, 2001. "Subsampling inference in threshold autoregressive models," Economics Working Papers 573, Department of Economics and Business, Universitat Pompeu Fabra.

    Cited by:

    1. Linton, Oliver & Seo, Myunghwan, 2005. "A smoothed least squares estimator for threshold regression models," LSE Research Online Documents on Economics 4434, London School of Economics and Political Science, LSE Library.
    2. Li, Dong & Ling, Shiqing & Zakoïan, Jean-Michel, 2015. "Asymptotic inference in multiple-threshold double autoregressive models," Journal of Econometrics, Elsevier, vol. 189(2), pages 415-427.
    3. Kapetanios, George & Mitchell, James & Shin, Yongcheol, 2014. "A nonlinear panel data model of cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 179(2), pages 134-157.
    4. Natalia Zugravu-Soilita & Vincent Geronimi & Jessy Tsang & Christine Le Gargasson, 2020. "Promoting heritage for a sustainable development: the case of tourism in the island economies [Promouvoir le patrimoine pour un développement soutenable : le cas du tourisme dans les économies insu," Post-Print hal-03709168, HAL.
    5. Chung-Ming Kuan & Christos Michalopoulos & Zhijie Xiao, 2017. "Quantile Regression on Quantile Ranges – A Threshold Approach," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(1), pages 99-119, January.
    6. Donayre Luiggi & Eo Yunjong & Morley James, 2018. "Improving likelihood-ratio-based confidence intervals for threshold parameters in finite samples," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(1), pages 1-11, February.
    7. Li, Dong & Tong, Howell, 2016. "Nested sub-sample search algorithm for estimation of threshold models," LSE Research Online Documents on Economics 68880, London School of Economics and Political Science, LSE Library.
    8. Rothfelder, Mario & Boldea, Otilia, 2019. "Testing for a Threshold in Models with Endogenous Regressors," Other publications TiSEM 94a7c921-f27f-43a0-82f4-4, Tilburg University, School of Economics and Management.
    9. De Gooijer, Jan G. & Vidiella-i-Anguera, Antoni, 2004. "Forecasting threshold cointegrated systems," International Journal of Forecasting, Elsevier, vol. 20(2), pages 237-253.
    10. Berg, Arthur & McMurry, Timothy L. & Politis, Dimitris N., 2010. "Subsampling p-values," Statistics & Probability Letters, Elsevier, vol. 80(17-18), pages 1358-1364, September.
    11. Li, Dong & Ling, Shiqing, 2012. "On the least squares estimation of multiple-regime threshold autoregressive models," Journal of Econometrics, Elsevier, vol. 167(1), pages 240-253.
    12. Gonzalo, Jesus & Pitarakis, Jean-Yves, 2010. "Regime Specific Predictability in Predictive Regressions," MPRA Paper 29190, University Library of Munich, Germany.
    13. Kapetanios, G. & Tzavalis, E., 2010. "Modeling structural breaks in economic relationships using large shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 34(3), pages 417-436, March.
    14. Fawcett, Nicholas & Kapetanios, George & Mitchell, James & Price, Simon, 2014. "Generalised density forecast combinations," Bank of England working papers 492, Bank of England.
    15. Joseph P. Romano & Michael Wolf, 2003. "Stepwise multiple testing as formalized data snooping," Economics Working Papers 712, Department of Economics and Business, Universitat Pompeu Fabra.
    16. Yizhou Bai & Yongjin Wang & Haoyan Zhang & Xiaoyang Zhuo, 2022. "Bayesian Estimation of the Skew Ornstein-Uhlenbeck Process," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 479-527, August.
    17. Seo, Myung Hwan, 2007. "Estimation of nonlinear error correction models," LSE Research Online Documents on Economics 6802, London School of Economics and Political Science, LSE Library.
    18. Gonzalo, Jesús & Olmo, José, 2016. "Long-term optimal portfolio allocation under dynamic horizon-specific risk aversion," UC3M Working papers. Economics 23599, Universidad Carlos III de Madrid. Departamento de Economía.
    19. Dong Li & Shiqing Ling & Jean-Michel Zakoian, 2013. "Asymptotic Inference in Multiple-Threshold Nonlinear Time Series Models," Working Papers 2013-51, Center for Research in Economics and Statistics.
    20. Varun Agiwal & Jitendra Kumar, 2020. "Bayesian estimation for threshold autoregressive model with multiple structural breaks," METRON, Springer;Sapienza Università di Roma, vol. 78(3), pages 361-382, December.
    21. Adhvaryu, Achyuta & Fenske, James & Khanna, Gaurav & Nyshadham, Anant, 2021. "Resources, conflict, and economic development in Africa," Journal of Development Economics, Elsevier, vol. 149(C).
    22. Martínez Ibáñez, Oscar & Olmo, José, 2008. "A nonlinear threshold model for the dependence of extremes of stationary sequences," Working Papers 2072/5361, Universitat Rovira i Virgili, Department of Economics.
    23. Galvão, Ana Beatriz C., 2003. "Multivariate Threshold Models: TVARs and TVECMs," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 23(1), May.
    24. Li, Jing, 2011. "Bootstrap prediction intervals for SETAR models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 320-332.
    25. Myung Hwan Seo, 2007. "Estimation of Nonlinear Error CorrectionModels," STICERD - Econometrics Paper Series 517, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    26. Andros Kourtellos & Thanasis Stengos & Yiguo Sun, 2017. "Endogeneity in Semiparametric Threshold Regression," University of Cyprus Working Papers in Economics 10-2017, University of Cyprus Department of Economics.
    27. Andros Kourtellos & Thanasis Stengos & Chih Ming Tan, 2011. "Structural Threshold Regression," University of Cyprus Working Papers in Economics 13-2011, University of Cyprus Department of Economics.
    28. Verme, Paolo & Schuettler, Kirsten, 2021. "The impact of forced displacement on host communities: A review of the empirical literature in economics," Journal of Development Economics, Elsevier, vol. 150(C).
    29. Jesús Gonzalo & Jean-Yves Pitarakis, 2013. "Estimation and inference in threshold type regime switching models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 8, pages 189-205, Edward Elgar Publishing.
    30. Lee, Sokbae & Seo, Myung Hwan, 2007. "Semiparametric estimation of a binary response model with a change-point due to a covariate threshold," LSE Research Online Documents on Economics 6806, London School of Economics and Political Science, LSE Library.
    31. Dungey Mardi & Martin Vance L. & Tang Chrismin & Tremayne Andrew, 2020. "A threshold mixed count time series model: estimation and application," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-18, April.
    32. Zeynep Senyuz & Emre Yoldas, 2015. "Financial Stress and Equilibrium Dynamics in Money Markets," Finance and Economics Discussion Series 2015-91, Board of Governors of the Federal Reserve System (U.S.).
    33. Bui, Tung Duy & Bui, Hoai Thi Mai, 2020. "Threshold effect of economic openness on bank risk-taking: Evidence from emerging markets," Economic Modelling, Elsevier, vol. 91(C), pages 790-803.
    34. Hanxiao Wei & Huiqin Yao, 2022. "Environmental Regulation, Roundabout Production, and Industrial Structure Transformation and Upgrading: Evidence from China," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    35. George Kapetanios & James Mitchell & Yongcheol Shin, 2010. "A Nonlinear Panel Model of Cross-sectional Dependence," Working Papers 673, Queen Mary University of London, School of Economics and Finance.
    36. Yu, Ping, 2012. "Likelihood estimation and inference in threshold regression," Journal of Econometrics, Elsevier, vol. 167(1), pages 274-294.
    37. Hidalgo, Javier & Lee, Jungyoon & Seo, Myung Hwan, 2019. "Robust inference for threshold regression models," LSE Research Online Documents on Economics 100333, London School of Economics and Political Science, LSE Library.
    38. Deniz Baglan & Emre Yoldas, 2013. "Government debt and macroeconomic activity: a predictive analysis for advanced economies," Finance and Economics Discussion Series 2013-05, Board of Governors of the Federal Reserve System (U.S.).
    39. Dendramis, Y. & Tzavalis, E. & Varthalitis, P. & Athanasiou, E., 2020. "Predicting default risk under asymmetric binary link functions," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1039-1056.
    40. Camponovo, Lorenzo & Scaillet, Olivier & Trojani, Fabio, 2012. "Robust subsampling," Journal of Econometrics, Elsevier, vol. 167(1), pages 197-210.
    41. Claudio Pizzi & Francesca Parpinel, 2011. "Evolutionary computational approach in TAR model estimation," Working Papers 2011_26, Department of Economics, University of Venice "Ca' Foscari".
    42. Yoldas, Emre & Senyuz, Zeynep, 2018. "Financial stress and equilibrium dynamics in term interbank funding markets," Journal of Financial Stability, Elsevier, vol. 34(C), pages 136-149.
    43. Christis Katsouris, 2023. "Estimation and Inference in Threshold Predictive Regression Models with Locally Explosive Regressors," Papers 2305.00860, arXiv.org, revised May 2023.
    44. Jesús Gonzalo & Michael Wolf, 2001. "Subsampling inference in threshold autoregressive models," Economics Working Papers 573, Department of Economics and Business, Universitat Pompeu Fabra.
    45. Yoldas Emre, 2012. "Threshold Asymmetries in Equity Return Distributions: Statistical Tests and Investment Implications," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-37, December.
    46. Yu, Ping, 2015. "Adaptive estimation of the threshold point in threshold regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 83-100.
    47. Alogoskoufis, George & Malliaris, A.G. & Stengos, Thanasis, 2023. "The scope and methodology of economic and financial asymmetries," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    48. Li, Jing, 2011. "Bootstrap prediction intervals for SETAR models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 320-332, April.
    49. Ellen Hamaker & Zhiyong Zhang & Han Maas, 2009. "Using Threshold Autoregressive Models to Study Dyadic Interactions," Psychometrika, Springer;The Psychometric Society, vol. 74(4), pages 727-745, December.
    50. Hasanov, Fakhri J. & Aliyev, Ruslan & Taskin, Dilvin & Suleymanov, Elchin, 2023. "Oil rents and non-oil economic growth in CIS oil exporters. The role of financial development," Resources Policy, Elsevier, vol. 82(C).
    51. Kourtellos, A. & Tan, C.M. & Stengos, T., 2008. "THRET: Threshold Regression with Endogenous Threshold Variables," Working Papers 0801, University of Guelph, Department of Economics and Finance.
    52. Zhu Yanli & Chen Haiqiang & Lin Ming, 2019. "Threshold models with time-varying threshold values and their application in estimating regime-sensitive Taylor rules," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(5), pages 1-17, December.

  39. Ledoit, Olivier & Wolf, Michael, 2000. "A well conditioned estimator for large dimensional covariance matrices," DES - Working Papers. Statistics and Econometrics. WS 10087, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Zhao Zhao & Olivier Ledoit & Hui Jiang, 2019. "Risk reduction and efficiency increase in large portfolios: leverage and shrinkage," ECON - Working Papers 328, Department of Economics - University of Zurich, revised Jan 2020.
    2. Hannart, Alexis & Naveau, Philippe, 2014. "Estimating high dimensional covariance matrices: A new look at the Gaussian conjugate framework," Journal of Multivariate Analysis, Elsevier, vol. 131(C), pages 149-162.
    3. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2018. "Exponent of cross-sectional dependence for residuals," Monash Econometrics and Business Statistics Working Papers 13/18, Monash University, Department of Econometrics and Business Statistics.
    4. Thomas Trier Bjerring & Omri Ross & Alex Weissensteiner, 2017. "Feature selection for portfolio optimization," Annals of Operations Research, Springer, vol. 256(1), pages 21-40, September.
    5. Tae-Hwy Lee & Ekaterina Seregina, 2020. "Optimal Portfolio Using Factor Graphical Lasso," Working Papers 202025, University of California at Riverside, Department of Economics.
    6. Lin, Ruitao & Liu, Zhongying & Zheng, Shurong & Yin, Guosheng, 2016. "Power computation for hypothesis testing with high-dimensional covariance matrices," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 10-23.
    7. Stanislav Anatolyev, 2009. "Inference in Regression Models with Many Regressors," Working Papers w0125, New Economic School (NES).
    8. Bodnar, Taras & Parolya, Nestor & Schmid, Wolfgang, 2018. "Estimation of the global minimum variance portfolio in high dimensions," European Journal of Operational Research, Elsevier, vol. 266(1), pages 371-390.
    9. Taras Bodnar & Nestor Parolya & Erik Thors'en, 2022. "Two is better than one: Regularized shrinkage of large minimum variance portfolio," Papers 2202.06666, arXiv.org.
    10. Srivastava, Muni S. & Yanagihara, Hirokazu, 2010. "Testing the equality of several covariance matrices with fewer observations than the dimension," Journal of Multivariate Analysis, Elsevier, vol. 101(6), pages 1319-1329, July.
    11. Tae-Hwy Lee & Ekaterina Seregina, 2022. "Combining Forecasts under Structural Breaks Using Graphical LASSO," Papers 2209.01697, arXiv.org, revised Sep 2023.
    12. Steland, Ansgar & von Sachs, Rainer, 2018. "Asymptotics for high-dimensional covariance matrices and quadratic forms with applications to the trace functional and shrinkage," Stochastic Processes and their Applications, Elsevier, vol. 128(8), pages 2816-2855.
    13. Michael Ho & Zheng Sun & Jack Xin, 2015. "Weighted Elastic Net Penalized Mean-Variance Portfolio Design and Computation," Papers 1502.01658, arXiv.org, revised Oct 2015.
    14. Lucien Boulet, 2021. "Forecasting High-Dimensional Covariance Matrices of Asset Returns with Hybrid GARCH-LSTMs," Papers 2109.01044, arXiv.org.
    15. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Miffre, Joëlle, 2019. "A comprehensive appraisal of style-integration methods," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 134-150.
    16. Olivier Ledoit & Michael Wolf, 2019. "The power of (non-)linear shrinking: a review and guide to covariance matrix estimation," ECON - Working Papers 323, Department of Economics - University of Zurich, revised Feb 2020.
    17. Sancetta, Alessio, 2008. "Sample covariance shrinkage for high dimensional dependent data," Journal of Multivariate Analysis, Elsevier, vol. 99(5), pages 949-967, May.
    18. Tae-Hwy Lee & Millie Yi Mao & Aman Ullah, 2021. "Estimation of high-dimensional dynamic conditional precision matrices with an application to forecast combination," Econometric Reviews, Taylor & Francis Journals, vol. 40(10), pages 905-918, November.
    19. Demetrescu, Matei & Hanck, Christoph, 2012. "A simple nonstationary-volatility robust panel unit root test," Economics Letters, Elsevier, vol. 117(1), pages 10-13.
    20. Andr'es Garc'ia-Medina & Benito Rodrigu'ez-Camejo, 2023. "Random matrix theory and nested clustered portfolios on Mexican markets," Papers 2306.05667, arXiv.org.
    21. Matteo Barigozzi & Christian Brownlees, 2013. "Nets: Network Estimation for Time Series," Working Papers 723, Barcelona School of Economics.
    22. Lee, Sangin & Kim, Yongdai & Kwon, Sunghoon, 2012. "Quadratic approximation for nonconvex penalized estimations with a diverging number of parameters," Statistics & Probability Letters, Elsevier, vol. 82(9), pages 1710-1717.
    23. Ding, Wenliang & Shu, Lianjie & Gu, Xinhua, 2023. "A robust Glasso approach to portfolio selection in high dimensions," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 22-37.
    24. Guillaume Coqueret, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02312186, HAL.
    25. Tim Bollerslev & Andrew J. Patton & Rogier Quaedvlieg, 2016. "Modeling and Forecasting (Un)Reliable Realized Covariances for More Reliable Financial Decisions," CREATES Research Papers 2016-10, Department of Economics and Business Economics, Aarhus University.
    26. Zongliang Hu & Zhishui Hu & Kai Dong & Tiejun Tong & Yuedong Wang, 2021. "A shrinkage approach to joint estimation of multiple covariance matrices," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(3), pages 339-374, April.
    27. Bertrand Candelon & Christophe Hurlin & Sessi Tokpavi, 2012. "Sampling Error and Double Shrinkage Estimation of Minimum Variance Portfolios," Post-Print hal-01385835, HAL.
    28. Avagyan, Vahe & Alonso Fernández, Andrés Modesto & Nogales, Francisco J., 2015. "D-trace Precision Matrix Estimation Using Adaptive Lasso Penalties," DES - Working Papers. Statistics and Econometrics. WS 21775, Universidad Carlos III de Madrid. Departamento de Estadística.
    29. Badi H. Baltagi & Chihwa Kao & Bin Peng, 2014. ""On Testing for Sphericity with Non-normality in a Fixed Effects Panel Data Model," Center for Policy Research Working Papers 176, Center for Policy Research, Maxwell School, Syracuse University.
    30. Anatolyev, Stanislav & Gospodinov, Nikolay, 2011. "Specification Testing In Models With Many Instruments," Econometric Theory, Cambridge University Press, vol. 27(2), pages 427-441, April.
    31. Besson, Olivier & Abramovich, Yuri I., 2014. "Invariance properties of the likelihood ratio for covariance matrix estimation in some complex elliptically contoured distributions," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 237-246.
    32. Nathan Lassance & Frédéric Vrins, 2019. "Minimum Rényi entropy portfolios," LIDAM Reprints CORE 3062, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    33. Mishra, Anil V., 2016. "Foreign bias in Australian-domiciled mutual fund holdings," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 101-123.
    34. Alexander Chudik & M. Hashem Pesaran, 2014. "Theory and practice of GVAR modeling," Globalization Institute Working Papers 180, Federal Reserve Bank of Dallas.
    35. Guan-Hua Huang & Su-Mei Wang & Chung-Chu Hsu, 2011. "Optimization-Based Model Fitting for Latent Class and Latent Profile Analyses," Psychometrika, Springer;The Psychometric Society, vol. 76(4), pages 584-611, October.
    36. Jianqing Fan & Ricardo Masini & Marcelo C. Medeiros, 2021. "Bridging factor and sparse models," Papers 2102.11341, arXiv.org, revised Sep 2022.
    37. Dées, Stéphane & Pesaran, Hashem & Smith, Vanessa & Smith, Ron P., 2010. "Supply, demand and monetary policy shocks in a multi-country New Keynesian Model," Working Paper Series 1239, European Central Bank.
    38. Roccazzella, Francesco & Gambetti, Paolo & Vrins, Frédéric, 2021. "Optimal and robust combination of forecasts via constrained optimization and shrinkage," LIDAM Reprints LFIN 2021014, Université catholique de Louvain, Louvain Finance (LFIN).
    39. Antonio Díaz & Carlos Esparcia, 2021. "Dynamic optimal portfolio choice under time-varying risk aversion," International Economics, CEPII research center, issue 166, pages 1-22.
    40. Papp, Gábor & Caccioli, Fabio & Kondor, Imre, 2019. "Bias-variance trade-off in portfolio optimization under expected shortfall with ℓ 2 regularization," LSE Research Online Documents on Economics 100294, London School of Economics and Political Science, LSE Library.
    41. Aït-Sahalia, Yacine & Xiu, Dacheng, 2017. "Using principal component analysis to estimate a high dimensional factor model with high-frequency data," Journal of Econometrics, Elsevier, vol. 201(2), pages 384-399.
    42. Fabio Caccioli & Imre Kondor & Matteo Marsili & Susanne Still, 2014. "$L_p$ regularized portfolio optimization," Papers 1404.4040, arXiv.org.
    43. Yang, Guangren & Liu, Yiming & Pan, Guangming, 2019. "Weighted covariance matrix estimation," Computational Statistics & Data Analysis, Elsevier, vol. 139(C), pages 82-98.
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  40. Delgado, Miguel A. & Rodríguez Poo, Juan M. & Wolf, Michael, 2000. "Subsampling inference in cube root asymptotics with an application to manski's maximum score estimator," DES - Working Papers. Statistics and Econometrics. WS 10110, Universidad Carlos III de Madrid. Departamento de Estadística.

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    1. Horowitz, Joel L., 2004. "Semiparametric models," Papers 2004,17, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    2. Linton, Oliver & Maasoumi, Esfandiar & Whang, Yoon-Jae, 2002. "Consistent testing for stochastic dominance: a subsampling approach," LSE Research Online Documents on Economics 24927, London School of Economics and Political Science, LSE Library.
    3. Le-Yu Chen & Sokbae (Simon) Lee & Myung Jae Sung, 2014. "Maximum score estimation with nonparametrically generated regressors," CeMMAP working papers CWP27/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Le-Yu Chen & Sokbae Lee, 2016. "Best Subset Binary Prediction," Papers 1610.02738, arXiv.org, revised May 2018.
    5. Christopher R. Dobronyi & Fu Ouyang & Thomas Tao Yang, 2023. "Revisiting Panel Data Discrete Choice Models with Lagged Dependent Variables," Papers 2301.09379, arXiv.org, revised Mar 2024.
    6. Berg, Arthur & McMurry, Timothy L. & Politis, Dimitris N., 2010. "Subsampling p-values," Statistics & Probability Letters, Elsevier, vol. 80(17-18), pages 1358-1364, September.
    7. Jeremy T. Fox, 2018. "Estimating matching games with transfers," Quantitative Economics, Econometric Society, vol. 9(1), pages 1-38, March.
    8. Craig, Ben & Ma, Yiming, 2022. "Intermediation in the interbank lending market," Journal of Financial Economics, Elsevier, vol. 145(2), pages 179-207.
    9. Joseph P. Romano & Michael Wolf, 2005. "Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 94-108, March.
    10. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    11. Joseph P. Romano & Michael Wolf, 2003. "Stepwise multiple testing as formalized data snooping," Economics Working Papers 712, Department of Economics and Business, Universitat Pompeu Fabra.
    12. Alistair Wilson & Mariagiovanna Baccara & Ayse Imrohoroglu & Leeat Yariv, 2009. "A Field Study on Matching with Network Externalities," Working Paper 486, Department of Economics, University of Pittsburgh, revised Sep 2011.
    13. Babii, Andrii & Kumar, Rohit, 2023. "Isotonic regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 234(2), pages 371-393.
    14. Chen, Le-Yu & Oparina, Ekaterina & Powdthavee, Nattavudh & Srisuma, Sorawoot, 2019. "Have Econometric Analyses of Happiness Data Been Futile? A Simple Truth about Happiness Scales," IZA Discussion Papers 12152, Institute of Labor Economics (IZA).
    15. Ben R. Craig & Yiming Ma, 2020. "Intermediation in the Interbank Lending Market," Working Papers 20-09, Federal Reserve Bank of Cleveland.
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    17. Mayer Walter J. & Wu Chen, 2013. "A maximum score test for binary response models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 619-639, December.
    18. Yan, Jin & Yoo, Hong Il, 2019. "Semiparametric estimation of the random utility model with rank-ordered choice data," Journal of Econometrics, Elsevier, vol. 211(2), pages 414-438.
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    20. Adam Rosen & Takuya Ura, 2020. "Finite Sample Inference for the Maximum Score Estimand," CeMMAP working papers CWP22/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. Debashis Ghosh & Moulinath Banerjee & Pinaki Biswas, 2004. "Binary isotonic regression procedures, with application to cancer biomarkers," The University of Michigan Department of Biostatistics Working Paper Series 1037, Berkeley Electronic Press.
    22. Jeremy T. Fox, 2007. "Semiparametric estimation of multinomial discrete-choice models using a subset of choices," RAND Journal of Economics, RAND Corporation, vol. 38(4), pages 1002-1019, December.
    23. Dominic Coey & Bradley J. Larsen & Kane Sweeney & Caio Waisman, 2021. "Scalable Optimal Online Auctions," Marketing Science, INFORMS, vol. 40(4), pages 593-618, July.
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    25. Chen, Le-Yu & Oparina, Ekaterina & Powdthavee, Nattavudh & Srisuma, Sorawoot, 2022. "Robust Ranking of Happiness Outcomes: A Median Regression Perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 672-686.
    26. Matias D. Cattaneo & Michael Jansson & Kenichi Nagasawa, 2017. "Bootstrap-Based Inference for Cube Root Consistent Estimators," CREATES Research Papers 2017-18, Department of Economics and Business Economics, Aarhus University.
    27. Lee, Sokbae & Seo, Myung Hwan, 2007. "Semiparametric estimation of a binary response model with a change-point due to a covariate threshold," LSE Research Online Documents on Economics 6806, London School of Economics and Political Science, LSE Library.
    28. Chen, Songnian & Zhang, Hanghui, 2015. "Binary quantile regression with local polynomial smoothing," Journal of Econometrics, Elsevier, vol. 189(1), pages 24-40.
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    30. Le-Yu Chen & Sokbae (Simon) Lee & Myung Jae Sung, 2013. "Maximum score estimation of preference parameters for a binary choice model under uncertainty," CeMMAP working papers CWP14/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Mariagiovanna Baccara & Ayse Imrohoroglu & Alistair J. Wilson & Leeat Yariv, 2012. "A Field Study on Matching with Network Externalities," American Economic Review, American Economic Association, vol. 102(5), pages 1773-1804, August.
    32. Lee, Donghoon & Song, Kyungchul, 2015. "Simulated maximum likelihood estimation for discrete choices using transformed simulated frequencies," Journal of Econometrics, Elsevier, vol. 187(1), pages 131-153.
    33. Patrick Bajari & Jeremy T. Fox, 2005. "Measuring the Efficiency of an FCC Spectrum Auction," NBER Working Papers 11671, National Bureau of Economic Research, Inc.
    34. Debashis Ghosh & Moulinath Banerjee & Pinaki Biswas, 2008. "Inference for Constrained Estimation of Tumor Size Distributions," Biometrics, The International Biometric Society, vol. 64(4), pages 1009-1017, December.
    35. Fu Ouyang & Thomas Tao Yang, 2022. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Papers 2202.12062, arXiv.org, revised Feb 2024.
    36. Chen, Qihui & Fang, Zheng, 2019. "Inference on functionals under first order degeneracy," Journal of Econometrics, Elsevier, vol. 210(2), pages 459-481.
    37. Stefan Sperlich, 2014. "On the choice of regularization parameters in specification testing: a critical discussion," Empirical Economics, Springer, vol. 47(2), pages 427-450, September.
    38. D. F. Benoit & D. Van Den Poel, 2010. "Binary quantile regression: A Bayesian approach based on the asymmetric Laplace density," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 10/662, Ghent University, Faculty of Economics and Business Administration.
    39. Oktay Akkus & J. Anthony Cookson & Ali Hortaçsu, 2016. "The Determinants of Bank Mergers: A Revealed Preference Analysis," Management Science, INFORMS, vol. 62(8), pages 2241-2258, August.
    40. Whang, Yoon-Jae & Kim, Jinho, 2003. "A multiple variance ratio test using subsampling," Economics Letters, Elsevier, vol. 79(2), pages 225-230, May.
    41. Choi, In, 2005. "Subsampling vector autoregressive tests of linear constraints," Journal of Econometrics, Elsevier, vol. 124(1), pages 55-89, January.
    42. Madden, Gary & Mayer, Walter & Wu, Chen & Tran, Thien, 2015. "The forecasting accuracy of models of post-award network deployment: An application of maximum score tests," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1153-1158.
    43. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," ANU Working Papers in Economics and Econometrics 2020-671, Australian National University, College of Business and Economics, School of Economics.
    44. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Discussion Papers Series 626, School of Economics, University of Queensland, Australia.
    45. Joseph P. Romano & Michael Wolf, "undated". "Control of Generalized Error Rates in Multiple Testing," IEW - Working Papers 245, Institute for Empirical Research in Economics - University of Zurich.

  41. Ledoit, Olivier & Wolf, Michael, 2000. "Improved estimation of the covariance matrix of stock returns with an application to portfolio selection," DES - Working Papers. Statistics and Econometrics. WS 10089, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Hautsch, Nikolaus & Voigt, Stefan, 2017. "Large-scale portfolio allocation under transaction costs and model uncertainty," CFS Working Paper Series 582, Center for Financial Studies (CFS).
    2. Gabriel Frahm & Tobias Wickern & Christof Wiechers, 2012. "Multiple tests for the performance of different investment strategies," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(3), pages 343-383, July.
    3. Zhao Zhao & Olivier Ledoit & Hui Jiang, 2019. "Risk reduction and efficiency increase in large portfolios: leverage and shrinkage," ECON - Working Papers 328, Department of Economics - University of Zurich, revised Jan 2020.
    4. Antonio Rubia & Trino-Manuel Ñíguez, 2006. "Forecasting the conditional covariance matrix of a portfolio under long-run temporal dependence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 439-458.
    5. Ka Wai Tsang & Zhaoyi He, 2020. "Mean-Variance Portfolio Management with Functional Optimization," Papers 2005.12774, arXiv.org, revised Nov 2020.
    6. Hannart, Alexis & Naveau, Philippe, 2014. "Estimating high dimensional covariance matrices: A new look at the Gaussian conjugate framework," Journal of Multivariate Analysis, Elsevier, vol. 131(C), pages 149-162.
    7. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2018. "Exponent of cross-sectional dependence for residuals," Monash Econometrics and Business Statistics Working Papers 13/18, Monash University, Department of Econometrics and Business Statistics.
    8. Cui, Xueting & Zhu, Shushang & Sun, Xiaoling & Li, Duan, 2013. "Nonlinear portfolio selection using approximate parametric Value-at-Risk," Journal of Banking & Finance, Elsevier, vol. 37(6), pages 2124-2139.
    9. Thomas Trier Bjerring & Omri Ross & Alex Weissensteiner, 2017. "Feature selection for portfolio optimization," Annals of Operations Research, Springer, vol. 256(1), pages 21-40, September.
    10. Fletcher, Jonathan, 2011. "Do optimal diversification strategies outperform the 1/N strategy in U.K. stock returns?," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 375-385.
    11. Lin, Ruitao & Liu, Zhongying & Zheng, Shurong & Yin, Guosheng, 2016. "Power computation for hypothesis testing with high-dimensional covariance matrices," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 10-23.
    12. Bodnar, Taras & Parolya, Nestor & Schmid, Wolfgang, 2018. "Estimation of the global minimum variance portfolio in high dimensions," European Journal of Operational Research, Elsevier, vol. 266(1), pages 371-390.
    13. Jiahan Li & Ilias Tsiakas, 2016. "Equity Premium Prediction: The Role of Economic and Statistical Constraints," Working Paper series 16-25, Rimini Centre for Economic Analysis.
    14. Sourish Das & Rituparna Sen, 2021. "Sparse Portfolio Selection via Bayesian Multiple Testing," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 585-617, November.
    15. Golosnoy, Vasyl & Gribisch, Bastian & Seifert, Miriam Isabel, 2019. "Exponential smoothing of realized portfolio weights," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 222-237.
    16. Lorenzo Mercuri & Edit Rroji, 2018. "Risk parity for Mixed Tempered Stable distributed sources of risk," Annals of Operations Research, Springer, vol. 260(1), pages 375-393, January.
    17. Steland, Ansgar & von Sachs, Rainer, 2018. "Asymptotics for high-dimensional covariance matrices and quadratic forms with applications to the trace functional and shrinkage," Stochastic Processes and their Applications, Elsevier, vol. 128(8), pages 2816-2855.
    18. Olivier Ledoit & Michael Wolf, 2019. "The power of (non-)linear shrinking: a review and guide to covariance matrix estimation," ECON - Working Papers 323, Department of Economics - University of Zurich, revised Feb 2020.
    19. Sancetta, Alessio, 2008. "Sample covariance shrinkage for high dimensional dependent data," Journal of Multivariate Analysis, Elsevier, vol. 99(5), pages 949-967, May.
    20. Maurizio Daniele & Winfried Pohlmeier & Aygul Zagidullina, 2018. "Sparse Approximate Factor Estimation for High-Dimensional Covariance Matrices," Working Paper Series of the Department of Economics, University of Konstanz 2018-07, Department of Economics, University of Konstanz.
    21. Sourish Das & Aritra Halder & Dipak K. Dey, 2017. "Regularizing Portfolio Risk Analysis: A Bayesian Approach," Methodology and Computing in Applied Probability, Springer, vol. 19(3), pages 865-889, September.
    22. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    23. Santos, André A.P. & Nogales, Francisco J. & Ruiz, Esther & Dijk, Dick Van, 2012. "Optimal portfolios with minimum capital requirements," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1928-1942.
    24. Georges Hübner, 2005. "The Generalized Treynor Ratio," Review of Finance, Springer, vol. 9(3), pages 415-435, September.
    25. Sourish Das & Aritra Halder & Dipak K. Dey, 2014. "Regularizing Portfolio Risk Analysis: A Bayesian Approach," Papers 1404.3258, arXiv.org, revised Oct 2015.
    26. Ding, Wenliang & Shu, Lianjie & Gu, Xinhua, 2023. "A robust Glasso approach to portfolio selection in high dimensions," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 22-37.
    27. Marco Centoni & Gianluca Cubadda, 2015. "Common Feature Analysis of Economic Time Series: An Overview and Recent Developments," CEIS Research Paper 355, Tor Vergata University, CEIS, revised 05 Oct 2015.
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    434. Zvi Bodie & Jérôme Detemple & Marcel Rindisbacher, 2009. "Life-Cycle Finance and the Design of Pension Plans," Annual Review of Financial Economics, Annual Reviews, vol. 1(1), pages 249-286, November.
    435. Wolfgang Karl Hardle & Yegor Klochkov & Alla Petukhina & Nikita Zhivotovskiy, 2022. "Robustifying Markowitz," Papers 2212.13996, arXiv.org.
    436. Thilo A. Schmitt & Rudi Schäfer & Dominik Wied & Thomas Guhr, 2016. "Spatial dependence in stock returns: local normalization and VaR forecasts," Empirical Economics, Springer, vol. 50(3), pages 1091-1109, May.
    437. Bedi, Prateek & Nashier, Tripti, 2020. "On the investment credentials of Bitcoin: A cross-currency perspective," Research in International Business and Finance, Elsevier, vol. 51(C).
    438. Mike Buckle & Jing Chen & Julian Williams, 2014. "How Predictable Are Equity Covariance Matrices? Evidence from High‐Frequency Data for Four Markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(7), pages 542-557, November.
    439. Ardia, David & Boudt, Kris & Wauters, Marjan, 2016. "The economic benefits of market timing the style allocation of characteristic-based portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 38-62.
    440. Roman Vershynin, 2012. "How Close is the Sample Covariance Matrix to the Actual Covariance Matrix?," Journal of Theoretical Probability, Springer, vol. 25(3), pages 655-686, September.
    441. Thomas A. Severini, 2022. "Some properties of portfolios constructed from principal components of asset returns," Annals of Finance, Springer, vol. 18(4), pages 457-483, December.
    442. Marielle Jong, 2018. "Portfolio optimisation in an uncertain world," Journal of Asset Management, Palgrave Macmillan, vol. 19(4), pages 216-221, July.
    443. Frahm, Gabriel, 2010. "An analytical investigation of estimators for expected asset returns from the perspective of optimal asset allocation," Discussion Papers in Econometrics and Statistics 1/10, University of Cologne, Institute of Econometrics and Statistics.
    444. Levy, Haim & Simaan, Yusif, 2016. "More possessions, more worry," European Journal of Operational Research, Elsevier, vol. 255(3), pages 893-902.
    445. Kazak, Ekaterina & Pohlmeier, Winfried, 2019. "Testing out-of-sample portfolio performance," International Journal of Forecasting, Elsevier, vol. 35(2), pages 540-554.
    446. Laurent, Jean-Paul & Sestier, Michael & Thomas, Stéphane, 2016. "Trading book and credit risk: How fundamental is the Basel review?," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 211-223.
    447. Bajeux-Besnainou, Isabelle & Bandara, Wachindra & Bura, Efstathia, 2012. "A Krylov subspace approach to large portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 36(11), pages 1688-1699.
    448. Jiang, Chonghui & Du, Jiangze & An, Yunbi & Zhang, Jinqing, 2021. "Factor tracking: A new smart beta strategy that outperforms naïve diversification," Economic Modelling, Elsevier, vol. 96(C), pages 396-408.
    449. Jianjun Gao & Duan Li, 2013. "Optimal Cardinality Constrained Portfolio Selection," Operations Research, INFORMS, vol. 61(3), pages 745-761, June.
    450. Xiangying Meng & Xianhua Wei & Yinchao Chen, 2019. "Estimation on Risk Factor Loading based on Mixed Vine Copula," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 9(3), pages 1-6.
    451. Tuan Tran & Nhat Nguyen, 2022. "Improving Portfolio Liquidity with Cash-Value-at-Risk for Covariance Estimations in Quantitative Trading," Working Papers hal-03647881, HAL.
    452. Turtle, H.J. & Wang, Kainan, 2016. "The benefits of improved covariance estimation," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 233-246.
    453. Lorenzo Mercuri & Edit Rroji, 2014. "Parametric Risk Parity," Papers 1409.7933, arXiv.org.
    454. Zura Kakushadze & Willie Yu, 2016. "Multifactor Risk Models and Heterotic CAPM," Papers 1602.04902, arXiv.org, revised Mar 2016.

  42. Politis, Dimitris N. & Wolf, Michael & Romano, Joseph P., 1999. "Subsampling, symmetrization, and robust interpolation," DES - Working Papers. Statistics and Econometrics. WS 6343, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Igor Kheifets & Carlos Velasco, 2012. "Model Adequacy Checks for Discrete Choice Dynamic Models," Working Papers w0170, New Economic School (NES).

  43. Romano, Joseph P. & Wolf, Michael, 1999. "Subsampling intervals in autoregressive models with linear time trend," DES - Working Papers. Statistics and Econometrics. WS 6400, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Óscar Arce & Sergio Mayordomo & Juan Ignacio Peña, 2012. "Credit-valuation in the sovereing CDS and bonds markets: Evidence from the euro area crisis," CNMV Working Papers CNMV Working Papers no. 5, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    2. Christis Katsouris, 2023. "Unified Inference for Dynamic Quantile Predictive Regression," Papers 2309.14160, arXiv.org, revised Nov 2023.
    3. Christopher J. Neely & David E. Rapach, 2008. "Real interest rate persistence: evidence and implications," Review, Federal Reserve Bank of St. Louis, vol. 90(Nov), pages 609-642.
    4. Yicong Lin & Hanno Reuvers, 2019. "Efficient Estimation by Fully Modified GLS with an Application to the Environmental Kuznets Curve," Papers 1908.02552, arXiv.org, revised Aug 2020.
    5. Donald W.K. Andrews & Sukjin Han, 2008. "Invalidity of the Bootstrap and the m Out of n Bootstrap for Interval Endpoints Defined by Moment Inequalities," Cowles Foundation Discussion Papers 1671, Cowles Foundation for Research in Economics, Yale University.
    6. Sergey Lychagin & Joris Pinkse & Margaret E. Slade & John Van Reenen, 2010. "Spillovers in Space: Does Geography Matter?," CEP Discussion Papers dp0991, Centre for Economic Performance, LSE.
    7. Firouz Fallahi, 2019. "Persistence and stationarity of sectoral energy consumption in the US: A confidence interval approach," Energy & Environment, , vol. 30(5), pages 882-897, August.
    8. Linton, Oliver, 2005. "Nonparametric Inference For Unbalanced Time Series Data," Econometric Theory, Cambridge University Press, vol. 21(1), pages 143-157, February.
    9. de Mello Luiz & Moccero Diego & Mogliani Matteo, 2013. "Do Latin American Central Bankers Behave Non-Linearly? The Experiences of Brazil, Chile, Colombia and Mexico," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 141-165, April.
    10. Donald W. K. Andrews & Patrik Guggenberger, 2014. "A Conditional-Heteroskedasticity-Robust Confidence Interval for the Autoregressive Parameter," The Review of Economics and Statistics, MIT Press, vol. 96(2), pages 376-381, May.
    11. Donald W.K. Andrews & Patrik Guggenberger, 2007. "Hybrid and Size-Corrected Subsample Methods," Cowles Foundation Discussion Papers 1606, Cowles Foundation for Research in Economics, Yale University.
    12. Hong, H. & Scaillet, O. & Tamer, E., 2001. "A fast Subsampling Method for Nonlinear Dynamic Models," Papers 2001.09, Ecole des Hautes Etudes Commerciales, Universite de Geneve-.
    13. Taisuke Otsu & Myung Hwan Seo, 2014. "Asymptotics for maximum score method under general conditions," STICERD - Econometrics Paper Series 571, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    14. Óscar Arce & Sergio Mayordomo & Juan Ignacio Peña, 2012. "Credit-Risk Valuation in the Sovereign CDS and Bonds Markets: Evidence from the Euro Area Crisis," Faculty Working Papers 22/12, School of Economics and Business Administration, University of Navarra.
    15. Yicong Lin & Hanno Reuvers, 2020. "Cointegrating Polynomial Regressions with Power Law Trends: Environmental Kuznets Curve or Omitted Time Effects?," Papers 2009.02262, arXiv.org, revised Dec 2021.
    16. Ilaria Piatti & Fabio Trojani, 2020. "Dividend Growth Predictability and the Price–Dividend Ratio," Management Science, INFORMS, vol. 66(1), pages 130-158, January.
    17. Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2016. "Predictability Hidden by Anomalous Observations," Papers 1612.05072, arXiv.org.
    18. Kassouri, Yacouba, 2022. "Boom-bust cycles in oil consumption: The role of explosive bubbles and asymmetric adjustments," Energy Economics, Elsevier, vol. 111(C).
    19. Fallahi, Firouz, 2012. "The stationarity of consumption–income ratios: Evidence from bootstrapping confidence intervals," Economics Letters, Elsevier, vol. 115(1), pages 137-140.
    20. Christoph Hanck & Till Massing, 2021. "Testing for Nonlinear Cointegration under Heteroskedasticity," Papers 2102.08809, arXiv.org, revised Apr 2024.
    21. Georgios P. Kouretas & Mark E. Wohar, 2012. "The dynamics of inflation: a study of a large number of countries," Applied Economics, Taylor & Francis Journals, vol. 44(16), pages 2001-2026, June.
    22. Zacharias Psaradakis, 2008. "Assessing Time‐Reversibility Under Minimal Assumptions," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(5), pages 881-905, September.
    23. Delgado, Miguel A. & Fiteni, Inmaculada, 2002. "External bootstrap tests for parameter stability," Journal of Econometrics, Elsevier, vol. 109(2), pages 275-303, August.
    24. David E. Rapach & Mark E. Wohar, 2004. "The persistence in international real interest rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(4), pages 339-346.
    25. Moreira, Marcelo J. & Mourão, Rafael & Moreira, Humberto Ataíde, 2016. "A critical value function approach, with an application to persistent time-series," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 778, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    26. Hans KREMERS & Andreas LOESCHEL, 2010. "The Strategic Implications of Setting Border Tax Adjustments," EcoMod2010 259600097, EcoMod.
    27. Fallahi, Firouz & Voia, Marcel-Cristian, 2015. "Convergence and persistence in per capita energy use among OECD countries: Revisited using confidence intervals," Energy Economics, Elsevier, vol. 52(PA), pages 246-253.
    28. Simionescu, Mihaela, 2022. "Stochastic convergence in per capita energy use in the EU-15 countries. The role of economic growth," Applied Energy, Elsevier, vol. 322(C).
    29. Fallahi, Firouz & Karimi, Mohammad & Voia, Marcel-Cristian, 2016. "Persistence in world energy consumption: Evidence from subsampling confidence intervals," Energy Economics, Elsevier, vol. 57(C), pages 175-183.
    30. Fallahi, Firouz, 2017. "Stochastic convergence in per capita energy use in world," Energy Economics, Elsevier, vol. 65(C), pages 228-239.
    31. Firouz Fallahi, 2020. "Persistence and unit root in $$\text {CO}_{2}$$CO2 emissions: evidence from disaggregated global and regional data," Empirical Economics, Springer, vol. 58(5), pages 2155-2179, May.
    32. Sonali Das & Rangan Gupta & Patrick Kanda & Monique Reid & Christian Tipoy & Mulatu Zerihun, 2014. "Real interest rate persistence in South Africa: evidence and implications," Economic Change and Restructuring, Springer, vol. 47(1), pages 41-62, February.
    33. Distaso, Walter, 2008. "Testing for unit root processes in random coefficient autoregressive models," Journal of Econometrics, Elsevier, vol. 142(1), pages 581-609, January.
    34. Zacharias Psaradakis & Marian Vavra, 2020. "On Using Triples to Assess Symmetry Under Weak Dependence," Working and Discussion Papers WP 7/2020, Research Department, National Bank of Slovakia.
    35. Camponovo, Lorenzo & Scaillet, Olivier & Trojani, Fabio, 2012. "Robust subsampling," Journal of Econometrics, Elsevier, vol. 167(1), pages 197-210.
    36. Ahmed, Kamran & Kim, Jae H. & Henry, Darren, 2006. "International cross-listings by Australian firms: A stochastic dominance analysis of equity returns," Journal of Multinational Financial Management, Elsevier, vol. 16(5), pages 494-508, December.
    37. Mikihito Nishi, 2023. "Testing for Stationary or Persistent Coefficient Randomness in Predictive Regressions," Papers 2309.04926, arXiv.org, revised May 2024.
    38. Patrik Guggenberger, 2006. "The limit of finite sample size and a problem with subsampling (joint with D.W.K. Andrews), June 2005, this version March 2007," UCLA Economics Online Papers 372, UCLA Department of Economics.
    39. Sergio Mayordomo & Juan Ignacio Peña & Juan Romo, 2011. "A New Test of Statistical Arbitrage with Applications to Credit Derivatives Markets," CNMV Working Papers CNMV Working Papers no. 4, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    40. Nakashima, Kiyotaka, 2008. "An Extremely Low Interest Rate Policy and the Shape of the Japanese Money Demand Function: A Nonlinear Cointegration Approach," MPRA Paper 70689, University Library of Munich, Germany.
    41. Yoldas Emre, 2012. "Threshold Asymmetries in Equity Return Distributions: Statistical Tests and Investment Implications," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-37, December.
    42. H. Peter Boswijk & Philip Hans Franses, 2002. "How Large is Average Economic Growth? Evidence from a Robust Method," Tinbergen Institute Discussion Papers 02-002/4, Tinbergen Institute.
    43. Boswijk, H.P. & Franses, Ph.H.B.F., 2001. "Robust inference on average economic growth," Econometric Institute Research Papers EI 2001-47, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    44. Romero-Ávila, Diego & Omay, Tolga, 2022. "Convergence of per capita energy consumption around the world: New evidence from nonlinear panel unit root tests," Energy Economics, Elsevier, vol. 111(C).
    45. Ravn, Morten & Sola, Martin & Psaradakis, Zacharias, 2003. "Markov Switching Causality and the Money-Output Relationship," CEPR Discussion Papers 3803, C.E.P.R. Discussion Papers.
    46. Choi, In, 2005. "Subsampling vector autoregressive tests of linear constraints," Journal of Econometrics, Elsevier, vol. 124(1), pages 55-89, January.
    47. Kim, Jae H. & Ji, Philip Inyeob, 2011. "Mean-reversion in international real interest rates," Economic Modelling, Elsevier, vol. 28(4), pages 1959-1966, July.
    48. G. K. Randolph Tan, 2006. "Robust Inference for Measures of Persistence in Singapore Sectoral Property Price Indexes," Journal of Property Research, Taylor & Francis Journals, vol. 23(4), pages 305-321, October.
    49. Firouz Fallahi & Mohammad Karimi & Marcel-Cristian Voia, 2014. "Are Shocks to Energy Consumption Persistent? Evidence from Subsampling Confidence Intervals," Carleton Economic Papers 14-02, Carleton University, Department of Economics.

  44. Ledoit, Olivier & Santa-Clara, Pedro & Wolf, Michael, 1999. "Flexible Multivariate GARCH Modeling With an Application to International Stock Markets," University of California at Los Angeles, Anderson Graduate School of Management qt93s6p8gb, Anderson Graduate School of Management, UCLA.

    Cited by:

    1. Matmoura, Yassine & Penev, Spiridon, 2013. "Multistage optimization of option portfolio using higher order coherent risk measures," European Journal of Operational Research, Elsevier, vol. 227(1), pages 190-198.
    2. Marfatia, Hardik A., 2017. "A fresh look at integration of risks in the international stock markets: A wavelet approach," Review of Financial Economics, Elsevier, vol. 34(C), pages 33-49.
    3. Wang, Yudong & Wu, Chongfeng, 2012. "Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?," Energy Economics, Elsevier, vol. 34(6), pages 2167-2181.
    4. Kilian, Lutz & Gonçalves, Sílvia, 2002. "Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form," Discussion Paper Series 1: Economic Studies 2002,26, Deutsche Bundesbank.
    5. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    6. Neil Shephard & Kevin Sheppard & Robert F. Engle, 2008. "Fitting vast dimensional time-varying covariance models," Economics Series Working Papers 403, University of Oxford, Department of Economics.
    7. Redouane Elkamhia & Denitsa Stefanova, 2011. "Dynamic Correlation or Tail Dependence Hedging for Portfolio Selection," Tinbergen Institute Discussion Papers 11-028/2/DSF10, Tinbergen Institute.
    8. Magdalena Vorzsak & Carmen Maria Gut, 2008. "Constraints Concerning Investment And Participation In Professional Training In The Companies From The Romanian Manufacturing Industry," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    9. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    10. Palandri, Alessandro, 2009. "Sequential conditional correlations: Inference and evaluation," Journal of Econometrics, Elsevier, vol. 153(2), pages 122-132, December.
    11. Oliver Ledoit & Michael Wolf, 2008. "Robust Performance Hypothesis Testing with the Sharpe Ratio," IEW - Working Papers 320, Institute for Empirical Research in Economics - University of Zurich.
    12. Niels S. Grønborg & Asger Lunde & Kasper V. Olesen & Harry Vander Elst, 2018. "Realizing Correlations Across Asset Classes," CREATES Research Papers 2018-37, Department of Economics and Business Economics, Aarhus University.
    13. Olivier Ledoit & Michael Wolf, 2018. "Robust performance hypothesis testing with smooth functions of population moments," ECON - Working Papers 305, Department of Economics - University of Zurich.
    14. Pesaran, M. Hashem & Zaffaroni, Paolo, 2005. "Model Averaging and Value-at-Risk Based Evaluation of Large Multi-Asset Volatility Models for Risk Management," CEPR Discussion Papers 5279, C.E.P.R. Discussion Papers.
    15. Jensen, Mark J. & Maheu, John M., 2013. "Bayesian semiparametric multivariate GARCH modeling," Journal of Econometrics, Elsevier, vol. 176(1), pages 3-17.
    16. Gregory Bauer & Keith Vorkink, 2007. "Multivariate Realized Stock Market Volatility," Staff Working Papers 07-20, Bank of Canada.
    17. Marco Sorge, 2004. "Stress-testing financial systems: an overview of current methodologies," BIS Working Papers 165, Bank for International Settlements.
    18. Christian Hafner & Philip Hans Franses, 2009. "A Generalized Dynamic Conditional Correlation Model: Simulation and Application to Many Assets," Econometric Reviews, Taylor & Francis Journals, vol. 28(6), pages 612-631.
    19. Tiberiu Cristian Avramescu, 2008. "Romanian Tourism: A Regional Approach," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    20. Šárka Brychtová, 2008. "Spa Healing Sources In Czech Republic," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    21. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Practical Volatility and Correlation Modeling for Financial Market Risk Management," PIER Working Paper Archive 05-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    22. Bastian Gribisch, 2018. "A latent dynamic factor approach to forecasting multivariate stock market volatility," Empirical Economics, Springer, vol. 55(2), pages 621-651, September.
    23. Li, Chenxing & Maheu, John M, 2020. "A Multivariate GARCH-Jump Mixture Model," MPRA Paper 104770, University Library of Munich, Germany.
    24. Asl, Mahdi Ghaemi & Canarella, Giorgio & Miller, Stephen M., 2021. "Dynamic asymmetric optimal portfolio allocation between energy stocks and energy commodities: Evidence from clean energy and oil and gas companies," Resources Policy, Elsevier, vol. 71(C).
    25. Kumiega, Andrew & Neururer, Thaddeus & Van Vliet, Ben, 2011. "Independent component analysis for realized volatility: Analysis of the stock market crash of 2008," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(3), pages 292-302, June.
    26. Zhou, Jian, 2014. "Modeling conditional covariance for mixed-asset portfolios," Economic Modelling, Elsevier, vol. 40(C), pages 242-249.
    27. Morana, Claudio, 2019. "Regularized semiparametric estimation of high dimensional dynamic conditional covariance matrices," Econometrics and Statistics, Elsevier, vol. 12(C), pages 42-65.
    28. Sangwon Suh & Inwon Jang & Misun Ahn, 2013. "A Simple Method For Measuring Systemic Risk Using Credit Default Swap Market Data," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(4), pages 75-100, December.
    29. Manole Velicanu & Gheorghe Matei, 2008. "Decision Support Systems: Present And Future Trends," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    30. Ozcan Ceylan, 2015. "Limited information-processing capacity and asymmetric stock correlations," Quantitative Finance, Taylor & Francis Journals, vol. 15(6), pages 1031-1039, June.
    31. Sarwar, Suleman & Khalfaoui, Rabeh & Waheed, Rida & Dastgerdi, Hamidreza Ghorbani, 2019. "Volatility spillovers and hedging: Evidence from Asian oil-importing countries," Resources Policy, Elsevier, vol. 61(C), pages 479-488.
    32. Christian Conrad & Menelaos Karanasos, 2008. "Negative Volatility Spillovers in the Unrestricted ECCC-GARCH Model," KOF Working papers 08-189, KOF Swiss Economic Institute, ETH Zurich.
    33. Jan Ericsson & Kris Jacobs & Rodolfo A. Oviedo, 2004. "The Determinants of Credit Default Swap Premia," CIRANO Working Papers 2004s-55, CIRANO.
    34. Cristina Silvia Nistor & Crina Ioana Filip & Adela Deaconu, 2008. "Derivative Instruments – Alternatives To Cover The Foreign Exchange Rate In The Case Of Import-Export Operations - Accounting Approach For Romania," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    35. Peter Reinhard Hansen & Guillaume Horel & Asger Lunde & Ilya Archakov, 2015. "A Markov Chain Estimator of Multivariate Volatility from High Frequency Data," CREATES Research Papers 2015-19, Department of Economics and Business Economics, Aarhus University.
    36. Gribisch, Bastian, 2013. "A latent dynamic factor approach to forecasting multivariate stock market volatility," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79823, Verein für Socialpolitik / German Economic Association.
    37. Cristina Curutiu, 2008. "Methods Of Portfolio Management - A Review Of Literature -," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    38. Golosnoy, Vasyl & Gribisch, Bastian & Liesenfeld, Roman, 2010. "The conditional autoregressive wishart model for multivariate stock market volatility," Economics Working Papers 2010-07, Christian-Albrechts-University of Kiel, Department of Economics.
    39. Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
    40. Carroll, Rachael & Conlon, Thomas & Cotter, John & Salvador, Enrique, 2017. "Asset allocation with correlation: A composite trade-off," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1164-1180.
    41. Jingwei Pan, 0000. "Evaluating Correlation Forecasts Under Asymmetric Loss," Proceedings of Economics and Finance Conferences 11413234, International Institute of Social and Economic Sciences.
    42. Audrino, Francesco & Trojani, Fabio, 2011. "A General Multivariate Threshold GARCH Model With Dynamic Conditional Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 138-149.
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    44. Suh, Sangwon, 2012. "Measuring systemic risk: A factor-augmented correlated default approach," Journal of Financial Intermediation, Elsevier, vol. 21(2), pages 341-358.
    45. Claudio Morana, 2016. "Macroeconomic and Financial Effects of Oil Price Shocks: Evidence for the Euro Area," Working Papers 2016.23, Fondazione Eni Enrico Mattei.
    46. Matthew J. Lebo & Janet M. Box‐Steffensmeier, 2008. "Dynamic Conditional Correlations in Political Science," American Journal of Political Science, John Wiley & Sons, vol. 52(3), pages 688-704, July.
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    48. Chulwoo Han & Frank C. Park & Jangkoo Kang, 2017. "A geometric treatment of time-varying volatilities," Review of Quantitative Finance and Accounting, Springer, vol. 49(4), pages 1121-1141, November.
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    58. Gang-Zhi Fan & Zsuzsa Huszár & Weina Zhang, 2013. "The Relationships between Real Estate Price and Expected Financial Asset Risk and Return: Theory and Empirical Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 46(4), pages 568-595, May.
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    96. Dimitrios Thomakos & Johannes Klepsch & Dimitris N. Politis, 2020. "Model Free Inference on Multivariate Time Series with Conditional Correlations," Stats, MDPI, vol. 3(4), pages 1-26, November.
    97. Kin-Yip Ho & Ka Cheng Tsui, 2004. "Volatility Dynamics of the Tokyo Stock Exchange: A Sectoral Analysis based on the Multivariate GARCH Approach," Money Macro and Finance (MMF) Research Group Conference 2004 12, Money Macro and Finance Research Group.
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    99. Mr. Jorge A Chan-Lau & Ms. Srobona Mitra & Ms. Li L Ong, 2007. "Contagion Risk in the International Banking System and Implications for London As a Global Financial Center," IMF Working Papers 2007/074, International Monetary Fund.
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    101. Golosnoy, Vasyl & Okhrin, Yarema, 2008. "General uncertainty in portfolio selection: A case-based decision approach," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 718-734, September.
    102. Zhou, Xinmiao & Zhang, Junru & Zhang, Zhaoyong, 2021. "How does news flow affect cross-market volatility spillovers? Evidence from China’s stock index futures and spot markets," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 196-213.
    103. Audrino, Francesco, 2006. "The impact of general non-parametric volatility functions in multivariate GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3032-3052, July.
    104. Cevdet Aydemir, A., 2008. "Risk sharing and counter-cyclical variation in market correlations," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3084-3112, October.
    105. Adina Negrusa & Oana Adriana Gica, 2008. "Analysis Of Potential Sme’S Role For Developing Tourism In Transylvania," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    106. Giovanni Barone-Adesi & Francesco Audrino, 2006. "Average conditional correlation and tree structures for multivariate GARCH models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(8), pages 579-600.
    107. Panayiotis F. Diamandis & Anastassios A. Drakos & Georgios P. Kouretas & Leonidas P. Zarangas, 2012. "Asset allocation in the Athens stock exchange: a variance sensitivity analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 17(2), pages 167-181, April.
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    110. Philip L. H. Yu & W. K. Li & F. C. Ng, 2017. "The Generalized Conditional Autoregressive Wishart Model for Multivariate Realized Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 513-527, October.
    111. Gribisch, Bastian & Hartkopf, Jan Patrick & Liesenfeld, Roman, 2020. "Factor state–space models for high-dimensional realized covariance matrices of asset returns," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 1-20.
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  45. Politis, Dimitris N. & Romano, Joseph P. & Wolf, Michael, 1999. "On the asymptotic theory of subsampling," DES - Working Papers. Statistics and Econometrics. WS 6334, Universidad Carlos III de Madrid. Departamento de Estadística.

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    1. Zheng, Wei & Jin, Yong & Zhang, Guoyi, 2016. "Recursive estimation of time-average variance constants through prewhitening," Statistics & Probability Letters, Elsevier, vol. 114(C), pages 30-37.
    2. Zhang, Xianyang, 2016. "White noise testing and model diagnostic checking for functional time series," Journal of Econometrics, Elsevier, vol. 194(1), pages 76-95.
    3. Berg, Arthur & McMurry, Timothy L. & Politis, Dimitris N., 2010. "Subsampling p-values," Statistics & Probability Letters, Elsevier, vol. 80(17-18), pages 1358-1364, September.
    4. Hong, Shengjie, 2017. "Inference in semiparametric conditional moment models with partial identification," Journal of Econometrics, Elsevier, vol. 196(1), pages 156-179.
    5. Andrews, Donald W.K. & Guggenberger, Patrik, 2009. "Incorrect asymptotic size of subsampling procedures based on post-consistent model selection estimators," Journal of Econometrics, Elsevier, vol. 152(1), pages 19-27, September.
    6. Kaido, Hiroaki, 2016. "A dual approach to inference for partially identified econometric models," Journal of Econometrics, Elsevier, vol. 192(1), pages 269-290.
    7. Broszkiewicz-Suwaj, E & Makagon, A & Weron, R & Wyłomańska, A, 2004. "On detecting and modeling periodic correlation in financial data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(1), pages 196-205.
    8. Chung, EunYi & Romano, Joseph P., 2016. "Multivariate and multiple permutation tests," Journal of Econometrics, Elsevier, vol. 193(1), pages 76-91.
    9. Linton, Oliver & Smetanina, Ekaterina, 2016. "Testing the martingale hypothesis for gross returns," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 664-689.
    10. Kim Christensen & Ulrich Hounyo & Mark Podolskij, 2016. "Testing for heteroscedasticity in jumpy and noisy high-frequency data: A resampling approach," CREATES Research Papers 2016-27, Department of Economics and Business Economics, Aarhus University.
    11. Hounyo, Ulrich, 2017. "Bootstrapping integrated covariance matrix estimators in noisy jump–diffusion models with non-synchronous trading," Journal of Econometrics, Elsevier, vol. 197(1), pages 130-152.
    12. Kim Christensen & Ulrich Hounyo & Mark Podolskij, 2017. "Is the diurnal pattern sufficient to explain the intraday variation in volatility? A nonparametric assessment," CREATES Research Papers 2017-30, Department of Economics and Business Economics, Aarhus University.
    13. Chan, Kam Fong & Powell, John G. & Treepongkaruna, Sirimon, 2014. "Currency jumps and crises: Do developed and emerging market currencies jump together?," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 132-157.
    14. Lenart, Łukasz, 2013. "Non-parametric frequency identification and estimation in mean function for almost periodically correlated time series," Journal of Multivariate Analysis, Elsevier, vol. 115(C), pages 252-269.
    15. Linton, Oliver & Whang, Yoon-Jae & Yen, Yu-Min, 2016. "A nonparametric test of a strong leverage hypothesis," Journal of Econometrics, Elsevier, vol. 194(1), pages 153-186.
    16. Chang, Christopher C. & Politis, Dimitris N., 2011. "Bootstrap with larger resample size for root-n consistent density estimation with time series data," Statistics & Probability Letters, Elsevier, vol. 81(6), pages 652-661, June.
    17. Politis, Dimitris N. & Romano, Joseph P., 2010. "K-sample subsampling in general spaces: The case of independent time series," Journal of Multivariate Analysis, Elsevier, vol. 101(2), pages 316-326, February.

  46. Romano, Joseph P. & Wolf, Michael, 1998. "Subsampling confidence intervals for the autoregressive root," DES - Working Papers. Statistics and Econometrics. WS 6268, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Politis, Dimitris N. & Wolf, Michael & Romano, Joseph P., 1999. "Subsampling, symmetrization, and robust interpolation," DES - Working Papers. Statistics and Econometrics. WS 6343, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Bruce E. Hansen, 1999. "The Grid Bootstrap And The Autoregressive Model," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 594-607, November.
    3. Atsushi Inoue & Lutz Kilian, 2002. "Bootstrapping Autoregressive Processes with Possible Unit Roots," Econometrica, Econometric Society, vol. 70(1), pages 377-391, January.
    4. Efstathios Paparoditis & Dimitris Politis, 2000. "Large-sample inference in the general AR(1) model," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 9(2), pages 487-509, December.

  47. Joseph P. Romano & Michael Wolf, "undated". "Control of Generalized Error Rates in Multiple Testing," IEW - Working Papers 245, Institute for Empirical Research in Economics - University of Zurich.

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    1. Alexandre Belloni & Victor Chernozhukov & Kengo Kato, 2019. "Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 749-758, April.
    2. Pallavi Basu & Luella Fu & Alessio Saretto & Wenguang Sun, 2021. "Empirical Bayes Control of the False Discovery Exceedance," Working Papers 2115, Federal Reserve Bank of Dallas.
    3. Fehr, Ernst & Fischbacher, Urs & Kosfeld, Michael, 2005. "Neuroeconomic Foundation of Trust and Social Preferences," CEPR Discussion Papers 5127, C.E.P.R. Discussion Papers.
    4. Hassanniakalager, Arman & Sermpinis, Georgios & Stasinakis, Charalampos, 2021. "Trading the foreign exchange market with technical analysis and Bayesian Statistics," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 230-251.
    5. David Afshartous & Michael Wolf, 2007. "Avoiding ‘data snooping’ in multilevel and mixed effects models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 1035-1059, October.
    6. Heath, Davidson & Ringgenberg, Matthew C. & Samadi, Mehrdad & Werner, Ingrid M., 2019. "Reusing Natural Experiments," Working Paper Series 2019-21, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    7. Hsu, Po-Hsuan & Han, Qiheng & Wu, Wensheng & Cao, Zhiguang, 2018. "Asset allocation strategies, data snooping, and the 1 / N rule," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 257-269.
    8. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2008. "Control of the False Discovery Rate under Dependence using the Bootstrap and Subsampling," IEW - Working Papers 337, Institute for Empirical Research in Economics - University of Zurich.
    9. Wang, Li & Xu, Xingzhong, 2012. "Step-up procedure controlling generalized family-wise error rate," Statistics & Probability Letters, Elsevier, vol. 82(4), pages 775-782.
    10. Hassler Uwe & Werkmann Verena, 2014. "Multiple Comparisons and Joint Significance in Panel Unit Root Testing with Evidence on International Interest Rate Linkage," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(1), pages 23-43, February.
    11. Kearney, Fearghal & Cummins, Mark & Murphy, Finbarr, 2014. "Outperformance in exchange-traded fund pricing deviations: Generalized control of data snooping bias," Journal of Financial Markets, Elsevier, vol. 19(C), pages 86-109.
    12. Joseph P & Romano & Azeem M. Shaikh & Michael Wolf, 2005. "Formalized Data Snooping Based on Generalized Error Rates," IEW - Working Papers 259, Institute for Empirical Research in Economics - University of Zurich.
    13. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009. "Hypothesis testing in econometrics," IEW - Working Papers 444, Institute for Empirical Research in Economics - University of Zurich.
    14. Cummins, Mark, 2013. "EU ETS market interactions: The case for multiple hypothesis testing approaches," Applied Energy, Elsevier, vol. 111(C), pages 701-709.
    15. Stephen A. Gorman & Frank J. Fabozzi, 2021. "The ABC’s of the alternative risk premium: academic roots," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 405-436, October.
    16. Youwei Wang & Yuxin Chen & Yi Qian, 2018. "The Causal Link between Relative Age Effect and Entrepreneurship: Evidence from 17 Million Users across 49 Years on Taobao," NBER Working Papers 25318, National Bureau of Economic Research, Inc.
    17. Dichtl, Hubert & Drobetz, Wolfgang & Neuhierl, Andreas & Wendt, Viktoria-Sophie, 2021. "Data snooping in equity premium prediction," International Journal of Forecasting, Elsevier, vol. 37(1), pages 72-94.
    18. Cummins, Mark & Garry, Oonagh & Kearney, Claire, 2014. "Price discovery analysis of green equity indices using robust asymmetric vector autoregression," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 261-267.
    19. Mathur, Maya B & VanderWeele, Tyler, 2018. "Statistical methods for evidence synthesis," Thesis Commons kd6ja, Center for Open Science.
    20. Liao Zhu, 2021. "The Adaptive Multi-Factor Model and the Financial Market," Papers 2107.14410, arXiv.org, revised Aug 2021.
    21. Falk, Armin & Fehr, Ernst & Zehnder, Christian, 2005. "The Behavioral Effects of Minimum Wages," IZA Discussion Papers 1625, Institute of Labor Economics (IZA).
    22. Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Michael Wolf & Dan Wunderli, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 352-376, May.
    23. Jin, Xiaoye, 2022. "Performance of intraday technical trading in China’s gold market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    24. Alexandre Belloni & Victor Chernozhukov & Kengo Kato, 2013. "Robust inference in high-dimensional approximately sparse quantile regression models," CeMMAP working papers CWP70/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. Joseph P. Romano & Michael Wolf, 2008. "Balanced Control of Generalized Error Rates," IEW - Working Papers 379, Institute for Empirical Research in Economics - University of Zurich.
    26. Tania Singer & Ernst Fehr, 2005. "The Neuroeconomics of Mind Reading and Empathy," American Economic Review, American Economic Association, vol. 95(2), pages 340-345, May.
    27. Stanislav Anatolyev & Grigory Kosenok, 2011. "Sequential Testing with Uniformly Distributed Size," Working Papers w0123, New Economic School (NES).
    28. Krauss, Christopher, 2015. "Statistical arbitrage pairs trading strategies: Review and outlook," FAU Discussion Papers in Economics 09/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    29. Jianqing Fan & Kunpeng Li & Yuan Liao, 2020. "Recent Developments on Factor Models and its Applications in Econometric Learning," Papers 2009.10103, arXiv.org.
    30. Georgios Sermpinis & Andreas Karathanasopoulos & Rafael Rosillo & David Fuente, 2021. "Neural networks in financial trading," Annals of Operations Research, Springer, vol. 297(1), pages 293-308, February.
    31. Michael Wolf & Dan Wunderli, 2012. "Bootstrap joint prediction regions," ECON - Working Papers 064, Department of Economics - University of Zurich, revised May 2013.
    32. Vincent, Kendro & Hsu, Yu-Chin & Lin, Hsiou-Wei, 2021. "Investment styles and the multiple testing of cross-sectional stock return predictability," Journal of Financial Markets, Elsevier, vol. 56(C).
    33. Li Wang & Xingzhong Xu & Yong A, 2016. "New multiple testing method under no dependency assumption, with application to multiple comparisons problem," Statistical Papers, Springer, vol. 57(1), pages 161-183, March.
    34. Yu-Chin Hsu & Hsiou-Wei Lin & Kendro Vincent, 2017. "Do Cross-Sectional Stock Return Predictors Pass the Test without Data-Snooping Bias?," IEAS Working Paper : academic research 17-A003, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    35. Yang, Junmin & Cao, Zhiguang & Han, Qiheng & Wang, Qiyu, 2019. "Tactical asset allocation on technical trading rules and data snooping," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).

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    2. Sören Harrs & Lara Marie Müller & Bettina Rockenbach, 2021. "How Optimistic and Pessimistic Narratives about COVID-19 Impact Economic Behavior," ECONtribute Discussion Papers Series 091, University of Bonn and University of Cologne, Germany.
    3. Neckermann, Susanne & Turmunkh, Uyanga & van Dolder, Dennie & Wang, Tong V., 2022. "Nudging student participation in online evaluations of teaching: Evidence from a field experiment," European Economic Review, Elsevier, vol. 141(C).
    4. Moorthy, Akshay, 2021. "The effect of rainfall shocks on early childhood development in Uganda," Economics Letters, Elsevier, vol. 200(C).
    5. Moriconi, Simone & Peri, Giovanni & Turati, Riccardo, 2022. "Skill of the immigrants and vote of the natives: Immigration and nationalism in European elections 2007–2016," European Economic Review, Elsevier, vol. 141(C).
    6. Samuel Asumadu Sarkodie & Maruf Yakubu Ahmed & Phebe Asantewaa Owusu, 2022. "Global adaptation readiness and income mitigate sectoral climate change vulnerabilities," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-17, December.
    7. Hermes, Henning & Mierisch, Fabian & Peter, Frauke & Wiederhold, Simon & Lergetporer, Philipp, 2023. "Discrimination on the Child Care Market: A Nationwide Field Experiment," IZA Discussion Papers 16082, Institute of Labor Economics (IZA).
    8. Zhuang Hao & Huihui Cheng & Till Bärnighausen & Simiao Chen, 2024. "The effects of parental retirement on adult children's health: Evidence from China," Health Economics, John Wiley & Sons, Ltd., vol. 33(1), pages 12-20, January.
    9. Ana Galvao & James Mitchell, 2021. "Communicating Data Uncertainty: Multi-Wave Experimental Evidence for U.K. GDP," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-06, Economic Statistics Centre of Excellence (ESCoE).
    10. Wehner, Caroline & de Grip, Andries & Pfeifer, Harald, 2020. "Do recruiters select workers with different personality traits for different tasks? A discrete choice experiment," ROA Research Memorandum 012, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    11. Jaschke Philipp & Sulin Sardoschau & Marco Tabellini, 2021. "Scared Straight? Threat and Assimilation of Refugees in Germany," RF Berlin - CReAM Discussion Paper Series 2136, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    12. Singhal, Himanshu & Verma, Arushi & Chakraborty, Madhumita, 2024. "The quality of credit ratings amid geopolitical risk," Economics Letters, Elsevier, vol. 234(C).
    13. Orazio Attanasio & Ricardo Paes de Barros & Pedro Carneiro & David K. Evans & Lycia Lima & Pedro Olinto & Norbert Schady, 2022. "Public Childcare, Labor Market Outcomes of Caregivers, and Child Development: Experimental Evidence from Brazil," NBER Working Papers 30653, National Bureau of Economic Research, Inc.
    14. Hermes, Henning & Lergetporer, Philipp & Mierisch, Fabian & Peter, Frauke & Wiederhold, Simon, 2024. "Discrimination in Universal Social Programs? A Nationwide Field Experiment on Access to Child Care," IWH Discussion Papers 12/2023, Halle Institute for Economic Research (IWH), revised 2024.
    15. Heath, Davidson & Ringgenberg, Matthew C. & Samadi, Mehrdad & Werner, Ingrid M., 2019. "Reusing Natural Experiments," Working Paper Series 2019-21, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
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    75. Chevalier, Arnaud & Isphording, Ingo E. & Lisauskaite, Elena, 2019. "Peer Diversity, College Performance and Educational Choices," IZA Discussion Papers 12202, Institute of Labor Economics (IZA).
    76. Patricia Justino & Marinella Leone & Pierfrancesco Rolla & Monique Abimpaye & Caroline Dusabe & Diane Uwamahoro & Richard Germond, 2020. "Improving parenting practices for early child development: Experimental evidence from Rwanda," WIDER Working Paper Series wp-2020-72, World Institute for Development Economic Research (UNU-WIDER).
    77. Samuel Dodini, 2023. "Insurance Subsidies, the Affordable Care Act, and Financial Stability," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(1), pages 97-136, January.
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  2. Romano, Joseph P. & Wolf, Michael, 2017. "Resurrecting weighted least squares," Journal of Econometrics, Elsevier, vol. 197(1), pages 1-19.
    See citations under working paper version above.
  3. Romano, Joseph P. & Wolf, Michael, 2016. "Efficient computation of adjusted p-values for resampling-based stepdown multiple testing," Statistics & Probability Letters, Elsevier, vol. 113(C), pages 38-40.
    See citations under working paper version above.
  4. Ledoit, Olivier & Wolf, Michael, 2015. "Spectrum estimation: A unified framework for covariance matrix estimation and PCA in large dimensions," Journal of Multivariate Analysis, Elsevier, vol. 139(C), pages 360-384.
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  5. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2014. "A Practical Two‐Step Method for Testing Moment Inequalities," Econometrica, Econometric Society, vol. 82, pages 1979-2002, September.
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  6. Romano Joseph P. & Shaikh Azeem & Wolf Michael, 2011. "Consonance and the Closure Method in Multiple Testing," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-25, February.
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  7. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2010. "Hypothesis Testing in Econometrics," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 75-104, September.
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  8. Richard M. Bittman & Joseph P. Romano & Carlos Vallarino & Michael Wolf, 2009. "Optimal testing of multiple hypotheses with common effect direction," Biometrika, Biometrika Trust, vol. 96(2), pages 399-410.
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  9. Ledoit, Oliver & Wolf, Michael, 2008. "Robust performance hypothesis testing with the Sharpe ratio," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 850-859, December.
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  10. Romano, Joseph P. & Shaikh, Azeem M. & Wolf, Michael, 2008. "Formalized Data Snooping Based On Generalized Error Rates," Econometric Theory, Cambridge University Press, vol. 24(2), pages 404-447, April.
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  11. Joseph Romano & Azeem Shaikh & Michael Wolf, 2008. "Rejoinder on: Control of the false discovery rate under dependence using the bootstrap and subsampling," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(3), pages 461-471, November.

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    1. Yu-Min Yen, 2013. "Testing Jumps via False Discovery Rate Control," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-15, April.
    2. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-Dimensional Econometrics and Regularized GMM," Papers 1806.01888, arXiv.org, revised Jun 2018.
    3. Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
    4. Galizzi, Matteo M. & Navarro-Martínez, Daniel, 2019. "On the external validity of social preference games: a systematic lab-field study," LSE Research Online Documents on Economics 84088, London School of Economics and Political Science, LSE Library.
    5. Christophe Hurlin & Sébastien Laurent & Rogier Quaedvlieg & Stephan Smeekes, 2017. "Risk Measure Inference," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 499-512, October.
    6. Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Journal of Finance, American Finance Association, vol. 75(5), pages 2503-2553, October.
    7. MOON, Hyungsik Roger & PERRON, Benoit, 2010. "Beyond Panel Unit Root Tests: Using Multiple Testing to Determine the Non Stationarity Properties of Individual Series in a Panel," Cahiers de recherche 2010-04, Universite de Montreal, Departement de sciences economiques.
    8. Ferreira José A. & Berkhof Johannes & Souverein Olga & Zwinderman Koos, 2009. "A Multiple Testing Approach to High-Dimensional Association Studies with an Application to the Detection of Associations between Risk Factors of Heart Disease and Genetic Polymorphisms," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-56, January.
    9. John A. List & Azeem M. Shaikh & Yang Xu, 2016. "Multiple Hypothesis Testing in Experimental Economics," NBER Working Papers 21875, National Bureau of Economic Research, Inc.
    10. Laurini, Márcio Poletti & Sanvicente, Antônio Zoratto & Monteiro, Rogério da Costa, 2011. "Generalized Tests of Investment Fund Performance," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(2), December.
    11. Becker William & Paruolo Paolo & Saltelli Andrea, 2021. "Variable Selection in Regression Models Using Global Sensitivity Analysis," Journal of Time Series Econometrics, De Gruyter, vol. 13(2), pages 187-233, July.
    12. Roland G. Fryer, Jr. & Steven D. Levitt & John A. List, 2015. "Parental Incentives and Early Childhood Achievement: A Field Experiment in Chicago Heights," NBER Working Papers 21477, National Bureau of Economic Research, Inc.
    13. Campbell R. Harvey & Yan Liu, 2022. "Luck versus Skill in the Cross Section of Mutual Fund Returns: Reexamining the Evidence," Journal of Finance, American Finance Association, vol. 77(3), pages 1921-1966, June.
    14. Miecznikowski, Jeffrey C. & Gold, David & Shepherd, Lori & Liu, Song, 2011. "Deriving and comparing the distribution for the number of false positives in single step methods to control k-FWER," Statistics & Probability Letters, Elsevier, vol. 81(11), pages 1695-1705, November.
    15. Bryan D. MacGregor & Rainer Schulz & Yuan Zhao, 2021. "Performance and Market Maturity in Mutual Funds: Is Real Estate Different?," The Journal of Real Estate Finance and Economics, Springer, vol. 63(3), pages 437-492, October.
    16. de Uña-Alvarez Jacobo, 2012. "The Beta-Binomial SGoF method for multiple dependent tests," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(3), pages 1-32, May.
    17. Jianqing Fan & Kunpeng Li & Yuan Liao, 2020. "Recent Developments on Factor Models and its Applications in Econometric Learning," Papers 2009.10103, arXiv.org.
    18. John List & Azeem Shaikh & Atom Vayalinkal, 2023. "Multiple Testing with Covariate Adjustment in Experimental Economics," Natural Field Experiments 00732, The Field Experiments Website.
    19. Westerlund, Joakim & Thuraisamy, Kannan & Sharma, Susan, 2015. "On the use of panel cointegration tests in energy economics," Energy Economics, Elsevier, vol. 50(C), pages 359-363.
    20. Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Stephan Smeekes, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 398-415, May.
    21. Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Papers 2006.04269, arXiv.org.
    22. Li Wang & Xingzhong Xu & Yong A, 2016. "New multiple testing method under no dependency assumption, with application to multiple comparisons problem," Statistical Papers, Springer, vol. 57(1), pages 161-183, March.

  12. Joseph Romano & Azeem Shaikh & Michael Wolf, 2008. "Control of the false discovery rate under dependence using the bootstrap and subsampling," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(3), pages 417-442, November.
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  13. David Afshartous & Michael Wolf, 2007. "Avoiding ‘data snooping’ in multilevel and mixed effects models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 1035-1059, October.
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  14. Joseph P. Romano & Michael Wolf, 2005. "Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 94-108, March.
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  15. Gonzalo, Jesus & Wolf, Michael, 2005. "Subsampling inference in threshold autoregressive models," Journal of Econometrics, Elsevier, vol. 127(2), pages 201-224, August.
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  16. Joseph P. Romano & Michael Wolf, 2005. "Stepwise Multiple Testing as Formalized Data Snooping," Econometrica, Econometric Society, vol. 73(4), pages 1237-1282, July.
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  17. Ledoit, Olivier & Wolf, Michael, 2004. "A well-conditioned estimator for large-dimensional covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 88(2), pages 365-411, February.
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  18. Dimitris N. Politis & Joseph P. Romano & Michael Wolf, 2004. "Inference for Autocorrelations in the Possible Presence of a Unit Root," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(2), pages 251-263, March.

    Cited by:

    1. Le Pen, Yannick, 2011. "A pair-wise approach to output convergence between European regions," Economic Modelling, Elsevier, vol. 28(3), pages 955-964, May.
    2. G Caggiano & L Leonida, "undated". "International Output Convergence: Evidence from an AutoCorrelation Function Approach," Working Papers 2006_20, Business School - Economics, University of Glasgow.
    3. Raffaella Giacomini & Dimitris N. Politis & Halbert White, 2012. "A warp-speed method for conducting Monte Carlo experiments involving bootstrap estimators," CeMMAP working papers CWP11/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Giovanni Caggiano & Leone Leonida, "undated". "A note on the empirics of the neoclassical growth model," Working Papers 2006_2, Business School - Economics, University of Glasgow.

  19. Ledoit, Olivier & Wolf, Michael, 2003. "Improved estimation of the covariance matrix of stock returns with an application to portfolio selection," Journal of Empirical Finance, Elsevier, vol. 10(5), pages 603-621, December.
    See citations under working paper version above.
  20. Olivier Ledoit & Pedro Santa-Clara & Michael Wolf, 2003. "Flexible Multivariate GARCH Modeling with an Application to International Stock Markets," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 735-747, August.
    See citations under working paper version above.
  21. Delgado, Miguel A. & Rodriguez-Poo, Juan M. & Wolf, Michael, 2001. "Subsampling inference in cube root asymptotics with an application to Manski's maximum score estimator," Economics Letters, Elsevier, vol. 73(2), pages 241-250, November.
    See citations under working paper version above.
  22. Romano, Joseph P & Wolf, Michael, 2001. "Subsampling Intervals in Autoregressive Models with Linear Time Trend," Econometrica, Econometric Society, vol. 69(5), pages 1283-1314, September.
    See citations under working paper version above.
  23. Romano, Joseph P. & Wolf, Michael, 2000. "A more general central limit theorem for m-dependent random variables with unbounded m," Statistics & Probability Letters, Elsevier, vol. 47(2), pages 115-124, April.

    Cited by:

    1. Le Breton, Michel & Lepelley, Dominique & Smaoui, Hatem, 2012. "The Probability of Casting a Decisive Vote: From IC to IAC trhough Ehrhart's Polynomials and Strong Mixing," TSE Working Papers 12-313, Toulouse School of Economics (TSE), revised Apr 2014.
    2. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," Papers 2402.05030, arXiv.org.
    3. Bücher, Axel & Kojadinovic, Ivan & Rohmer, Tom & Segers, Johan, 2014. "Detecting changes in cross-sectional dependence in multivariate time series," Journal of Multivariate Analysis, Elsevier, vol. 132(C), pages 111-128.
    4. James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2017. "Bootstrap And Asymptotic Inference With Multiway Clustering," Working Paper 1386, Economics Department, Queen's University.
    5. Jacek Leśkow & Rafał Synowiecki, 2010. "On bootstrapping periodic random arrays with increasing period," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 71(3), pages 253-279, May.
    6. Ayyala, Deepak Nag & Park, Junyong & Roy, Anindya, 2017. "Mean vector testing for high-dimensional dependent observations," Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 136-155.
    7. Last, Michael & Shumway, Robert, 2008. "Detecting abrupt changes in a piecewise locally stationary time series," Journal of Multivariate Analysis, Elsevier, vol. 99(2), pages 191-214, February.
    8. Chan, Terence, 2022. "On a new class of continuous indices of inequality," Mathematical Social Sciences, Elsevier, vol. 120(C), pages 8-23.
    9. Kojadinovic, Ivan & Rohmer, Tom & Segers, Johan, 2013. "Detecting changes in cross-sectional dependence in multivariate time series," LIDAM Discussion Papers ISBA 2013051, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    10. Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "Estimation of Cross-Sectional Dependence in Large Panels," Papers 1904.06843, arXiv.org.
    11. Han, Kevin & Basse, Guillaume & Bojinov, Iavor, 2024. "Population interference in panel experiments," Journal of Econometrics, Elsevier, vol. 238(1).
    12. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," THEMA Working Papers 2024-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    13. Harvey, Danielle J. & Weng, Qian & Beckett, Laurel A., 2010. "On an asymptotic distribution of dependent random variables on a 3-dimensional lattice," Statistics & Probability Letters, Elsevier, vol. 80(11-12), pages 1015-1021, June.
    14. Zhao, Zhibiao, 2010. "Density estimation for nonlinear parametric models with conditional heteroscedasticity," Journal of Econometrics, Elsevier, vol. 155(1), pages 71-82, March.
    15. Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Marco Meyer & Jens-Peter Kreiss, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 377-397, May.
    16. Zhao, Zhibiao & Wu, Wei Biao, 2007. "Asymptotic theory for curve-crossing analysis," Stochastic Processes and their Applications, Elsevier, vol. 117(7), pages 862-877, July.
    17. Atsushi Inoue, 2015. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 9-11, January.
    18. Jiti Gao & Guangming Pan & Yanrong Yang, 2016. "CEstimation of Structural Breaks in Large Panels with Cross-Sectional Dependence," Monash Econometrics and Business Statistics Working Papers 12/16, Monash University, Department of Econometrics and Business Statistics.
    19. Geenens, Gery & Simar, Léopold, 2010. "Nonparametric tests for conditional independence in two-way contingency tables," Journal of Multivariate Analysis, Elsevier, vol. 101(4), pages 765-788, April.
    20. Hui, Francis K.C. & Geenens, Gery, 2012. "Nonparametric bootstrap tests of conditional independence in two-way contingency tables," Journal of Multivariate Analysis, Elsevier, vol. 112(C), pages 130-144.
    21. Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Monash Econometrics and Business Statistics Working Papers 9/19, Monash University, Department of Econometrics and Business Statistics.

  24. Wolf, Michael, 2000. "Stock Returns and Dividend Yields Revisited: A New Way to Look at an Old Problem," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 18-30, January.

    Cited by:

    1. Kilian, Lutz & Gonçalves, Sílvia, 2002. "Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form," Discussion Paper Series 1: Economic Studies 2002,26, Deutsche Bundesbank.
    2. David McMillan & Alan Speight, 2006. "Non-linear long horizon returns predictability: evidence from six south-east Asian markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 13(2), pages 95-111, June.
    3. Devpura, Neluka & Narayan, Paresh Kumar & Sharma, Susan Sunila, 2019. "Structural instability and predictability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    4. David G McMillan, 2011. "Does the BEYR help predict UK sector returns?," Journal of Asset Management, Palgrave Macmillan, vol. 12(2), pages 146-156, June.
    5. Charlotte S. Hansen & Bjorn E. Tuypens, 2004. "Long-Run Regressions: Theory and Application to US Asset Markets," Finance 0410018, University Library of Munich, Germany.
    6. Lorenzo Camponovo & Olivier Scaillet & Fabio Trojani, 2016. "Predictability Hidden by Anomalous Observations," Papers 1612.05072, arXiv.org.
    7. McMillan, David G., 2009. "Revisiting dividend yield dynamics and returns predictability: Evidence from a time-varying ESTR model," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 870-883, August.
    8. William N. Goetzmann & Roger G. Ibbotson & Liang Peng, 2000. "A New Historical Database For The NYSE 1815 To 1925: Performance And Predictability," Yale School of Management Working Papers ysm154, Yale School of Management.
    9. William Goetzmann & Roger Ibbotson & Liang Peng, 2000. "A New Historical Database For The NYSE 1815 To 1925: Performance And Predictability," Yale School of Management Working Papers ysm5, Yale School of Management, revised 01 Mar 2001.
    10. David G. McMillan, 2010. "Level‐shifts and non‐linearity in US financial ratios," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 9(2), pages 189-207, May.
    11. Erdenebat Bataa & Dong H. Kim & Denise R. Osborn, 2006. "A Further Examination of the Expectations Hypothesis for the Term Structure," Economics Discussion Paper Series 0611, Economics, The University of Manchester.
    12. Gu, Fu & Wang, Jiqiang & Guo, Jianfeng & Fan, Ying, 2020. "How the supply and demand of steam coal affect the investment in clean energy industry? Evidence from China," Resources Policy, Elsevier, vol. 69(C).
    13. Michael Scholz & Jens Perch Nielsen & Stefan Sperlich, 2012. "Nonparametric prediction of stock returns guided by prior knowledge," Graz Economics Papers 2012-02, University of Graz, Department of Economics.
    14. Nikolaos Mitianoudis & Theologos Dergiades, 2016. "Stock Prices Predictability at Long-horizons: Two Tales from the Time-Frequency Domain," Discussion Paper Series 2016_04, Department of Economics, University of Macedonia, revised Dec 2016.
    15. Katsumi Shimotsu & Alex Maynard, 2004. "Covariance-based orthogonality tests for regressors with unknown persistence," Econometric Society 2004 North American Summer Meetings 536, Econometric Society.
    16. Erdenebat Bataa & Dong H. Kim & Denise R. Osborn, 2007. "Expectations Hypothesis Tests in the Presence of Model Uncertainty," Discussion Paper Series 0703, Institute of Economic Research, Korea University.
    17. Gungor, Sermin & Luger, Richard, 2020. "Small-sample tests for stock return predictability with possibly non-stationary regressors and GARCH-type effects," Journal of Econometrics, Elsevier, vol. 218(2), pages 750-770.
    18. Safari, Meysam & TahmooresPour, Reza, 2011. "Moderation Effect of Market Condition on the Relationship between Dividend Yield and Stock Return," MPRA Paper 28913, University Library of Munich, Germany.
    19. Deniz Baglan & Emre Yoldas, 2013. "Government debt and macroeconomic activity: a predictive analysis for advanced economies," Finance and Economics Discussion Series 2013-05, Board of Governors of the Federal Reserve System (U.S.).
    20. Park, Cheolbeom, 2010. "When does the dividend-price ratio predict stock returns?," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 81-101, January.
    21. David G. McMillan & Mark E. Wohar, 2010. "Stock return predictability and dividend-price ratio: a nonlinear approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 351-365.
    22. Sizova, Natalia, 2014. "A frequency-domain alternative to long-horizon regressions with application to return predictability," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 261-272.
    23. I Paya & D Peel, 2005. "A new analysis of the determinants of the real dollar-sterling exchange rate: 1871-1994," Working Papers 565953, Lancaster University Management School, Economics Department.
    24. Gu, Fu & Wang, Jiqiang & Guo, Jianfeng & Fan, Ying, 2020. "Dynamic linkages between international oil price, plastic stock index and recycle plastic markets in China," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 167-179.

  25. Politis, D. N. & Romano, Joseph P. & Wolf, Michael, 1997. "Subsampling for heteroskedastic time series," Journal of Econometrics, Elsevier, vol. 81(2), pages 281-317, December.

    Cited by:

    1. Óscar Arce & Sergio Mayordomo & Juan Ignacio Peña, 2012. "Credit-valuation in the sovereing CDS and bonds markets: Evidence from the euro area crisis," CNMV Working Papers CNMV Working Papers no. 5, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    2. Geert Bekaert & Robert J. Hodrick, 2000. "Expectations Hypotheses Tests," NBER Working Papers 7609, National Bureau of Economic Research, Inc.
    3. Eduardo Lima & Benjamin Tabak, 2009. "Tests of Random Walk: A Comparison of Bootstrap Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 34(4), pages 365-382, November.
    4. Paulo Parente & Richard J. Smith, 2019. "Quasi-maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," CeMMAP working papers CWP60/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Sibanjan Mishra, 2019. "Testing Martingale Hypothesis Using Variance Ratio Tests: Evidence from High-frequency Data of NCDEX Soya Bean Futures," Global Business Review, International Management Institute, vol. 20(6), pages 1407-1422, December.
    6. Zhang, Tao & Zhou, Hongfeng & Li, Larry & Gu, Feng, 2015. "Optimal rebalance rules for the constant proportion portfolio insurance strategy – Evidence from China," Economic Systems, Elsevier, vol. 39(3), pages 413-422.
    7. Goncalves, Silvia & White, Halbert, 2004. "Maximum likelihood and the bootstrap for nonlinear dynamic models," Journal of Econometrics, Elsevier, vol. 119(1), pages 199-219, March.
    8. Amélie Charles & Olivier Darné, 2009. "The random walk hypothesis for Chinese stock markets: Evidence from variance ratio tests," Post-Print hal-00771080, HAL.
    9. Silvia Gonçalves & Halbert White, 2001. "The Bootstrap of the Mean for Dependent Heterogeneous Arrays," CIRANO Working Papers 2001s-19, CIRANO.
    10. Óscar Arce & Sergio Mayordomo & Juan Ignacio Peña, 2012. "Credit-Risk Valuation in the Sovereign CDS and Bonds Markets: Evidence from the Euro Area Crisis," Faculty Working Papers 22/12, School of Economics and Business Administration, University of Navarra.
    11. Hidalgo, Javier & Schafgans, Marcia, 2021. "Inference without smoothing for large panels with cross-sectional and temporal dependence," LSE Research Online Documents on Economics 107426, London School of Economics and Political Science, LSE Library.
    12. Regis Augusto Ely, 2011. "Returns Predictability and Stock Market Efficiency in Brazil," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(4), pages 571-584.
    13. Amélie Charles & Olivier Darné, 2009. "Variance‐Ratio Tests Of Random Walk: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 503-527, July.
    14. Dichtl, Hubert & Drobetz, Wolfgang, 2011. "Portfolio insurance and prospect theory investors: Popularity and optimal design of capital protected financial products," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1683-1697, July.
    15. Maharaj, E.A., 1999. "A Test for the Difference Parameter of the ARFIMA Model Using the Moving Blocks Bootstrap," Monash Econometrics and Business Statistics Working Papers 11/99, Monash University, Department of Econometrics and Business Statistics.
    16. Felipe Aparicio & Alvaro Escribano & Ana E. Sipols, 2006. "Range Unit‐Root (RUR) Tests: Robust against Nonlinearities, Error Distributions, Structural Breaks and Outliers," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(4), pages 545-576, July.
    17. Ulrich Hounyo, 2014. "The wild tapered block bootstrap," CREATES Research Papers 2014-32, Department of Economics and Business Economics, Aarhus University.
    18. Shyh-wei Chen, 2009. "Random walks in asian foreign exchange markets:evidence from new multiple variance ratio tests," Economics Bulletin, AccessEcon, vol. 29(2), pages 1296-1307.
    19. Marine Carrasco & Rachidi Kotchoni, 2015. "Adaptive Realized Kernels," Journal of Financial Econometrics, Oxford University Press, vol. 13(4), pages 757-797.
    20. Khurshid Kiani, 2005. "Detecting Business Cycle Asymmetries Using Artificial Neural Networks and Time Series Models," Computational Economics, Springer;Society for Computational Economics, vol. 26(1), pages 65-89, August.
    21. Arvanitis, Stelios & Topaloglou, Nikolas, 2017. "Testing for prospect and Markowitz stochastic dominance efficiency," Journal of Econometrics, Elsevier, vol. 198(2), pages 253-270.
    22. Marcel Brautigam & Marie Kratz, 2020. "The Impact of the Choice of Risk and Dispersion Measure on Procyclicality," Papers 2001.00529, arXiv.org.
    23. Joseph P. Romano & Michael Wolf, 2006. "Improved Nonparametric Confidence Intervals in Time Series Regressions," IEW - Working Papers 273, Institute for Empirical Research in Economics - University of Zurich.
    24. Walde, Janette F., 2007. "Valid hypothesis testing in face of spatially dependent data using multi-layer perceptrons and sub-sampling techniques," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2701-2719, February.
    25. G. Geoffrey Booth & Sanders S. Chang, 2017. "Domestic exchange rate determination in Renaissance Florence," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 11(3), pages 405-445, September.
    26. Mayordomo, Sergio & Peña, Juan Ignacio & Romo, Juan, 2009. "Are There Arbitrage Opportunities in Credit Derivatives Markets? A New Test and an Application to the Case of CDS and ASPs," DEE - Working Papers. Business Economics. WB wb096303, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    27. Romano, Joseph P. & Wolf, Michael, 1999. "Subsampling intervals in autoregressive models with linear time trend," DES - Working Papers. Statistics and Econometrics. WS 6400, Universidad Carlos III de Madrid. Departamento de Estadística.
    28. Mehmet Caner, 2006. "A lasso type gmm estimator," Working Paper 210, Department of Economics, University of Pittsburgh, revised Jan 2006.
    29. Politis, Dimitris N. & Romano, Joseph P. & Wolf, Michael, 1999. "On the asymptotic theory of subsampling," DES - Working Papers. Statistics and Econometrics. WS 6334, Universidad Carlos III de Madrid. Departamento de Estadística.
    30. Simionescu, Mihaela, 2022. "Stochastic convergence in per capita energy use in the EU-15 countries. The role of economic growth," Applied Energy, Elsevier, vol. 322(C).
    31. Karolyi, G. Andrew & Kho, Bong-Chan, 2004. "Momentum strategies: some bootstrap tests," Journal of Empirical Finance, Elsevier, vol. 11(4), pages 509-536, September.
    32. Khurshid M. Kiani, 2007. "Asymmetric Business Cycle Fluctuations and Contagion Effects in G7 Countries," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 6(3), pages 237-253, December.
    33. Francesco Bravo, 2011. "Comment on: Subsampling weakly dependent time series and application to extremes," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 483-486, November.
    34. Ekström, Magnus, 2014. "A general central limit theorem for strong mixing sequences," Statistics & Probability Letters, Elsevier, vol. 94(C), pages 236-238.
    35. Romano, Joseph P. & Wolf, Michael, 1998. "Subsampling confidence intervals for the autoregressive root," DES - Working Papers. Statistics and Econometrics. WS 6268, Universidad Carlos III de Madrid. Departamento de Estadística.
    36. Joel L. Horowitz, 2018. "Bootstrap Methods in Econometrics," Papers 1809.04016, arXiv.org.
    37. Paulo Parente & Richard J. Smith, 2018. "Kernel block bootstrap," CeMMAP working papers CWP48/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    38. Kim, Jae H., 2006. "Wild bootstrapping variance ratio tests," Economics Letters, Elsevier, vol. 92(1), pages 38-43, July.
    39. Franke, Jürgen & Kreiss, Jens-Peter & Mammen, Enno & Neumann, Michael H., 1998. "Properties of the nonparametric autoregressive bootstrap," SFB 373 Discussion Papers 1998,54, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    40. Peter Hall & Yvonne Pittelkow & Malay Ghosh, 2008. "Theoretical measures of relative performance of classifiers for high dimensional data with small sample sizes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(1), pages 159-173, February.
    41. Iván Blanco, Juan Ignacio Peña, and Rosa Rodriguez, 2018. "Modelling Electricity Swaps with Stochastic Forward Premium Models," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    42. Rasmus Tangsgaard Varneskov, 2011. "Generalized Flat-Top Realized Kernel Estimation of Ex-Post Variation of Asset Prices Contaminated by Noise," CREATES Research Papers 2011-31, Department of Economics and Business Economics, Aarhus University.
    43. Jean-Marie Dufour & Lynda Khalaf & Marcel Voia, 2013. "Finite-sample resampling-based combined hypothesis tests, with applications to serial correlation and predictability," CIRANO Working Papers 2013s-40, CIRANO.
    44. Marie Briere & Léopold Simar & Ariane Szafarz & Anne Vanhems, 2023. "Sensitivity to measurement errors of the distance to the efficient frontier," Working Papers CEB 23-004, ULB -- Universite Libre de Bruxelles.
    45. Hidalgo, Javier, 2003. "An alternative bootstrap to moving blocks for time series regression models," Journal of Econometrics, Elsevier, vol. 117(2), pages 369-399, December.
    46. Yunyun Wang & Tatsushi Oka & Dan Zhu, 2023. "Distributional Vector Autoregression: Eliciting Macro and Financial Dependence," Papers 2303.04994, arXiv.org.
    47. Khurshid M. Kiani, 2009. "Asymmetries in Macroeconomic Time Series in Eleven Asian Economies," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 8(1), pages 37-54, April.
    48. Hoque, Hafiz A.A.B. & Kim, Jae H. & Pyun, Chong Soo, 2007. "A comparison of variance ratio tests of random walk: A case of Asian emerging stock markets," International Review of Economics & Finance, Elsevier, vol. 16(4), pages 488-502.
    49. Masato Ubukata & Kosuke Oya, 2008. "A Test for Dependence and Covariance Estimator of Market Microstructure Noise," Discussion Papers in Economics and Business 07-03-Rev.2, Osaka University, Graduate School of Economics.
    50. Horowitz, Joel L. & Lobato, I.N. & Nankervis, John C. & Savin, N.E., 2006. "Bootstrapping the Box-Pierce Q test: A robust test of uncorrelatedness," Journal of Econometrics, Elsevier, vol. 133(2), pages 841-862, August.
    51. Hidalgo, Javier & Schafgans, Marcia, 2021. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Journal of Econometrics, Elsevier, vol. 223(1), pages 125-160.
    52. Hilmer, Christiana E. & Holt, Matthew T., 2000. "A Comparison Of Resampling Techniques When Parameters Are On A Boundary: The Bootstrap, Subsample Bootstrap, And Subsample Jackknife," 2000 Annual meeting, July 30-August 2, Tampa, FL 21810, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    53. Kalnina, Ilze, 2011. "Subsampling high frequency data," Journal of Econometrics, Elsevier, vol. 161(2), pages 262-283, April.
    54. Joel L. Horowitz, 2018. "Bootstrap methods in econometrics," CeMMAP working papers CWP53/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

Chapters

  1. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2010. "multiple testing," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.

    Cited by:

    1. Matt Goldman & David M. Kaplan, 2017. "Comparing distributions by multiple testing across quantiles or CDF values," Papers 1708.04658, arXiv.org.
    2. David Afshartous & Michael Wolf, 2007. "Avoiding ‘data snooping’ in multilevel and mixed effects models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 1035-1059, October.
    3. Sneha Elango & Jorge Luis García & James J. Heckman & Andrés Hojman, 2015. "Early Childhood Education," NBER Working Papers 21766, National Bureau of Economic Research, Inc.
    4. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2008. "Control of the False Discovery Rate under Dependence using the Bootstrap and Subsampling," IEW - Working Papers 337, Institute for Empirical Research in Economics - University of Zurich.
    5. Joseph P & Romano & Azeem M. Shaikh & Michael Wolf, 2005. "Formalized Data Snooping Based on Generalized Error Rates," IEW - Working Papers 259, Institute for Empirical Research in Economics - University of Zurich.
    6. Cushman, David O. & De Vita, Glauco, 2017. "Exchange rate regimes and FDI in developing countries: A propensity score matching approach," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 143-163.
    7. Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009. "Hypothesis testing in econometrics," IEW - Working Papers 444, Institute for Empirical Research in Economics - University of Zurich.
    8. Barras, Laurent & Scaillet, Olivier & Wermers, Russ, 2009. "False discoveries in mutual fund performance: Measuring luck in estimated alphas," CFR Working Papers 06-02, University of Cologne, Centre for Financial Research (CFR).
    9. Falk, Armin & Fehr, Ernst & Zehnder, Christian, 2005. "The Behavioral Effects of Minimum Wages," IZA Discussion Papers 1625, Institute of Labor Economics (IZA).
    10. Joseph P. Romano & Michael Wolf, 2008. "Balanced Control of Generalized Error Rates," IEW - Working Papers 379, Institute for Empirical Research in Economics - University of Zurich.
    11. Tania Singer & Ernst Fehr, 2005. "The Neuroeconomics of Mind Reading and Empathy," American Economic Review, American Economic Association, vol. 95(2), pages 340-345, May.

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