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Publications

by members of

Department of Management Science and Engineering
Stanford University
Stanford, California (United States)

These are publications listed in RePEc written by members of the above institution who are registered with the RePEc Author Service. Thus this compiles the works all those currently affiliated with this institution, not those affilated at the time of publication. List of registered members. Register yourself. Citation analysis. Find also a compilation of publications from alumni here.

This page is updated in the first days of each month.

| Working papers | Journal articles | Books |

Working papers

2023

  1. Kasper Johansson & Mehmet Giray Ogut & Markus Pelger & Thomas Schmelzer & Stephen Boyd, 2023. "A Simple Method for Predicting Covariance Matrices of Financial Returns," Papers 2305.19484, arXiv.org, revised Nov 2023.
  2. Junting Duan & Markus Pelger & Ruoxuan Xiong, 2023. "Target PCA: Transfer Learning Large Dimensional Panel Data," Papers 2308.15627, arXiv.org.
  3. Kaniel, Ron & Lin, Zihan & Pelger, Markus & Van Nieuwerburgh, Stijn, 2023. "Machine-Learning the Skill of Mutual Fund Managers," CEPR Discussion Papers 18129, C.E.P.R. Discussion Papers.
  4. Shen, Shiran V & Wang, Qi & Zhang, Bing, 2023. "Regularized Campaigns as a New Institution for Effective Governance," Institute on Global Conflict and Cooperation, Working Paper Series qt0d83b2rw, Institute on Global Conflict and Cooperation, University of California.

2022

  1. Jose Blanchet & Fernando Hernandez & Viet Anh Nguyen & Markus Pelger & Xuhui Zhang, 2022. "Bayesian Imputation with Optimal Look-Ahead-Bias and Variance Tradeoff," Papers 2202.00871, arXiv.org, revised Apr 2023.
  2. Markus Pelger & Jiacheng Zou, 2022. "Inference for Large Panel Data with Many Covariates," Papers 2301.00292, arXiv.org, revised Mar 2023.
  3. Damir Filipović & Markus Pelger & Ye Ye, 2022. "Stripping the Discount Curve - a Robust Machine Learning Approach," Swiss Finance Institute Research Paper Series 22-24, Swiss Finance Institute.
  4. Damir Filipović & Markus Pelger & Ye Ye, 2022. "Shrinking the Term Structure," Swiss Finance Institute Research Paper Series 22-61, Swiss Finance Institute.

2021

  1. Jorge Guijarro-Ordonez & Markus Pelger & Greg Zanotti, 2021. "Deep Learning Statistical Arbitrage," Papers 2106.04028, arXiv.org, revised Oct 2022.

2019

  1. Luyang Chen & Markus Pelger & Jason Zhu, 2019. "Deep Learning in Asset Pricing," Papers 1904.00745, arXiv.org, revised Aug 2021.
  2. Ruoxuan Xiong & Markus Pelger, 2019. "Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference," Papers 1910.08273, arXiv.org, revised Jan 2022.

2018

  1. Markus Pelger & Ruoxuan Xiong, 2018. "State-Varying Factor Models of Large Dimensions," Papers 1807.02248, arXiv.org, revised Oct 2020.
  2. Lin Fan & Peter W. Glynn & Markus Pelger, 2018. "Change-Point Testing for Risk Measures in Time Series," Papers 1809.02303, arXiv.org, revised Jul 2023.
  3. Lettau, Martin & Pelger, Markus, 2018. "Estimating Latent Asset-Pricing Factors," CEPR Discussion Papers 12926, C.E.P.R. Discussion Papers.
  4. Lettau, Martin & Pelger, Markus, 2018. "Factors that Fit the Time Series and Cross-Section of Stock Returns," CEPR Discussion Papers 13049, C.E.P.R. Discussion Papers.

2017

  1. Claudio Fontana & Markus Pelger & Eckhard Platen, 2017. "On the existence of sure profits via flash strategies," Papers 1708.03099, arXiv.org, revised Jul 2019.
  2. Claudio Fontana & Markus Pelger & Eckhard Platen, 2017. "Sure Profits via Flash Strategies and the Impossibility of Predictable Jumps," Research Paper Series 385, Quantitative Finance Research Centre, University of Technology, Sydney.

2013

  1. Paul Glasserman & Chulmin Kang & Wanmo Kang, 2013. "Stress Scenario Selection by Empirical Likelihood," Working Papers 13-04, Office of Financial Research, US Department of the Treasury.

2004

  1. Abbas, 2004. "Utility Probability Duality," General Economics and Teaching 0403001, University Library of Munich, Germany.

Journal articles

2024

  1. Luyang Chen & Markus Pelger & Jason Zhu, 2024. "Deep Learning in Asset Pricing," Management Science, INFORMS, vol. 70(2), pages 714-750, February.

2023

  1. Xiong, Ruoxuan & Pelger, Markus, 2023. "Large dimensional latent factor modeling with missing observations and applications to causal inference," Journal of Econometrics, Elsevier, vol. 233(1), pages 271-301.
  2. Kaniel, Ron & Lin, Zihan & Pelger, Markus & Van Nieuwerburgh, Stijn, 2023. "Machine-learning the skill of mutual fund managers," Journal of Financial Economics, Elsevier, vol. 150(1), pages 94-138.

2022

  1. Markus Pelger & Ruoxuan Xiong, 2022. "State-Varying Factor Models of Large Dimensions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1315-1333, June.
  2. Markus Pelger & Ruoxuan Xiong, 2022. "Interpretable Sparse Proximate Factors for Large Dimensions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1642-1664, October.

2021

  1. Markus Pelger, 2021. "Discussion of “Text Selection” by Bryan Kelly, Asaf Manela, and Alan Moreira," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(4), pages 880-882, October.
  2. Shiran Victoria Shen, 2021. "Integrating Political Science into Climate Modeling: An Example of Internalizing the Costs of Climate-Induced Violence in the Optimal Management of the Climate," Sustainability, MDPI, vol. 13(19), pages 1-24, September.

2020

  1. Markus Pelger, 2020. "Understanding Systematic Risk: A High‐Frequency Approach," Journal of Finance, American Finance Association, vol. 75(4), pages 2179-2220, August.
  2. Lettau, Martin & Pelger, Markus, 2020. "Estimating latent asset-pricing factors," Journal of Econometrics, Elsevier, vol. 218(1), pages 1-31.
  3. Martin Lettau & Markus Pelger & Stijn Van Nieuwerburgh, 2020. "Factors That Fit the Time Series and Cross-Section of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2274-2325.
  4. Kopas, Jacob & York, Erin & Jin, Xiaomeng & Harish, S.P. & Kennedy, Ryan & Shen, Shiran Victoria & Urpelainen, Johannes, 2020. "Environmental Justice in India: Incidence of Air Pollution from Coal-Fired Power Plants," Ecological Economics, Elsevier, vol. 176(C).

2019

  1. Pelger, Markus, 2019. "Large-dimensional factor modeling based on high-frequency observations," Journal of Econometrics, Elsevier, vol. 208(1), pages 23-42.
  2. Shen, Shiran Victoria & Cain, Bruce E. & Hui, Iris, 2019. "Public receptivity in China towards wind energy generators: A survey experimental approach," Energy Policy, Elsevier, vol. 129(C), pages 619-627.

2017

  1. Nan Chen & Paul Glasserman & Behzad Nouri & Markus Pelger, 2017. "Contingent Capital, Tail Risk, and Debt-Induced Collapse," The Review of Financial Studies, Society for Financial Studies, vol. 30(11), pages 3921-3969.

2013

  1. An Chen & Markus Pelger & Klaus Sandmann, 2013. "New performance-vested stock option schemes," Applied Financial Economics, Taylor & Francis Journals, vol. 23(8), pages 709-727, April.

Books

2022

  1. Shen,Shiran Victoria, 2022. "The Political Regulation Wave," Cambridge Books, Cambridge University Press, number 9781009100144, June.

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