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Details about Markus Pelger

E-mail:
Homepage:https://mpelger.people.stanford.edu/
Workplace:Department of Management Science and Engineering, Stanford University, (more information at EDIRC)

Access statistics for papers by Markus Pelger.

Last updated 2024-09-06. Update your information in the RePEc Author Service.

Short-id: ppe959


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Working Papers

2024

  1. Shrinking the Term Structure
    NBER Working Papers, National Bureau of Economic Research, Inc Downloads
    Also in Swiss Finance Institute Research Paper Series, Swiss Finance Institute (2022) Downloads

2023

  1. A Simple Method for Predicting Covariance Matrices of Financial Returns
    Papers, arXiv.org Downloads View citations (5)
  2. Bayesian Imputation with Optimal Look-Ahead-Bias and Variance Tradeoff
    Papers, arXiv.org Downloads
  3. Change-Point Testing for Risk Measures in Time Series
    Papers, arXiv.org Downloads View citations (1)
  4. Inference for Large Panel Data with Many Covariates
    Papers, arXiv.org Downloads
  5. Machine-Learning the Skill of Mutual Fund Managers
    CEPR Discussion Papers, C.E.P.R. Discussion Papers Downloads
    Also in NBER Working Papers, National Bureau of Economic Research, Inc (2022) Downloads View citations (3)

    See also Journal Article Machine-learning the skill of mutual fund managers, Journal of Financial Economics, Elsevier (2023) Downloads View citations (7) (2023)
  6. Target PCA: Transfer Learning Large Dimensional Panel Data
    Papers, arXiv.org Downloads

2022

  1. Deep Learning Statistical Arbitrage
    Papers, arXiv.org Downloads
  2. Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference
    Papers, arXiv.org Downloads View citations (9)
    See also Journal Article Large dimensional latent factor modeling with missing observations and applications to causal inference, Journal of Econometrics, Elsevier (2023) Downloads View citations (12) (2023)
  3. Stripping the Discount Curve - a Robust Machine Learning Approach
    Swiss Finance Institute Research Paper Series, Swiss Finance Institute Downloads View citations (6)

2021

  1. Deep Learning in Asset Pricing
    Papers, arXiv.org Downloads View citations (24)
    See also Journal Article Deep Learning in Asset Pricing, Management Science, INFORMS (2024) Downloads View citations (2) (2024)

2020

  1. State-Varying Factor Models of Large Dimensions
    Papers, arXiv.org Downloads View citations (9)
    See also Journal Article State-Varying Factor Models of Large Dimensions, Journal of Business & Economic Statistics, Taylor & Francis Journals (2022) Downloads View citations (8) (2022)

2019

  1. On the existence of sure profits via flash strategies
    Papers, arXiv.org Downloads View citations (5)

2018

  1. Estimating Latent Asset-Pricing Factors
    NBER Working Papers, National Bureau of Economic Research, Inc Downloads View citations (12)
    Also in CEPR Discussion Papers, C.E.P.R. Discussion Papers (2018) Downloads View citations (17)

    See also Journal Article Estimating latent asset-pricing factors, Journal of Econometrics, Elsevier (2020) Downloads View citations (30) (2020)
  2. Factors that Fit the Time Series and Cross-Section of Stock Returns
    NBER Working Papers, National Bureau of Economic Research, Inc Downloads View citations (6)
    Also in CEPR Discussion Papers, C.E.P.R. Discussion Papers (2018) Downloads View citations (5)

    See also Journal Article Factors That Fit the Time Series and Cross-Section of Stock Returns, The Review of Financial Studies, Society for Financial Studies (2020) Downloads View citations (53) (2020)

2017

  1. Sure Profits via Flash Strategies and the Impossibility of Predictable Jumps
    Research Paper Series, Quantitative Finance Research Centre, University of Technology, Sydney Downloads View citations (1)

2013

  1. Stress Scenario Selection by Empirical Likelihood
    Working Papers, Office of Financial Research, US Department of the Treasury Downloads View citations (14)

Journal Articles

2024

  1. Deep Learning in Asset Pricing
    Management Science, 2024, 70, (2), 714-750 Downloads View citations (2)
    See also Working Paper Deep Learning in Asset Pricing, Papers (2021) Downloads View citations (24) (2021)

2023

  1. Large dimensional latent factor modeling with missing observations and applications to causal inference
    Journal of Econometrics, 2023, 233, (1), 271-301 Downloads View citations (12)
    See also Working Paper Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference, Papers (2022) Downloads View citations (9) (2022)
  2. Machine-learning the skill of mutual fund managers
    Journal of Financial Economics, 2023, 150, (1), 94-138 Downloads View citations (7)
    See also Working Paper Machine-Learning the Skill of Mutual Fund Managers, CEPR Discussion Papers (2023) Downloads (2023)

2022

  1. Interpretable Sparse Proximate Factors for Large Dimensions
    Journal of Business & Economic Statistics, 2022, 40, (4), 1642-1664 Downloads View citations (3)
  2. State-Varying Factor Models of Large Dimensions
    Journal of Business & Economic Statistics, 2022, 40, (3), 1315-1333 Downloads View citations (8)
    See also Working Paper State-Varying Factor Models of Large Dimensions, Papers (2020) Downloads View citations (9) (2020)

2021

  1. Discussion of “Text Selection” by Bryan Kelly, Asaf Manela, and Alan Moreira
    Journal of Business & Economic Statistics, 2021, 39, (4), 880-882 Downloads

2020

  1. Estimating latent asset-pricing factors
    Journal of Econometrics, 2020, 218, (1), 1-31 Downloads View citations (30)
    See also Working Paper Estimating Latent Asset-Pricing Factors, NBER Working Papers (2018) Downloads View citations (12) (2018)
  2. Factors That Fit the Time Series and Cross-Section of Stock Returns
    The Review of Financial Studies, 2020, 33, (5), 2274-2325 Downloads View citations (53)
    See also Working Paper Factors that Fit the Time Series and Cross-Section of Stock Returns, NBER Working Papers (2018) Downloads View citations (6) (2018)
  3. Understanding Systematic Risk: A High‐Frequency Approach
    Journal of Finance, 2020, 75, (4), 2179-2220 Downloads View citations (20)

2019

  1. Large-dimensional factor modeling based on high-frequency observations
    Journal of Econometrics, 2019, 208, (1), 23-42 Downloads View citations (37)

2017

  1. Contingent Capital, Tail Risk, and Debt-Induced Collapse
    The Review of Financial Studies, 2017, 30, (11), 3921-3969 Downloads View citations (30)

2013

  1. New performance-vested stock option schemes
    Applied Financial Economics, 2013, 23, (8), 709-727 Downloads View citations (1)
 
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