Markus Pelger

Markus Pelger

Stanford University

H-index: 15

North America-United States

About Markus Pelger

Markus Pelger, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Stanford University, specializes in the field of financial statistics, asset pricing, risk management, econometrics, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automatic Outlier Rectification via Optimal Transport

Deep learning in asset pricing

Internet Appendix for Target PCA: Transfer Learning Large Dimensional Panel Data

Internet Appendix for Missing Financial Data

A simple method for predicting covariance matrices of financial returns

Asset-Pricing Factors with Economic Targets

Comment on: Eigenvalue Tests for the Number of Latent Factors in Short Panels

Target PCA: Transfer learning large dimensional panel data

Markus Pelger Information

University

Position

___

Citations(all)

1606

Citations(since 2020)

1463

Cited By

512

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

16

i10Index(since 2020)

15

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Markus Pelger Skills & Research Interests

financial statistics

asset pricing

risk management

econometrics

machine learning

Top articles of Markus Pelger

Title

Journal

Author(s)

Publication Date

Automatic Outlier Rectification via Optimal Transport

arXiv preprint arXiv:2403.14067

Jose Blanchet

Jiajin Li

Markus Pelger

Greg Zanotti

2024/3/21

Deep learning in asset pricing

Management Science

Luyang Chen

Markus Pelger

Jason Zhu

2023/2/20

Internet Appendix for Target PCA: Transfer Learning Large Dimensional Panel Data

Available at SSRN

Junting Duan

Markus Pelger

Ruoxuan Xiong

2023/8/25

Internet Appendix for Missing Financial Data

Available at SSRN 4384755

Svetlana Bryzgalova

Sven Lerner

Martin Lettau

Markus Pelger

2023/3/10

A simple method for predicting covariance matrices of financial returns

Foundations and Trends® in Econometrics

Kasper Johansson

Mehmet G Ogut

Markus Pelger

Thomas Schmelzer

Stephen Boyd

2023/11/20

Asset-Pricing Factors with Economic Targets

Available at SSRN 4344837

Svetlana Bryzgalova

Victor DeMiguel

Sicong Li

Markus Pelger

2023/2/1

Comment on: Eigenvalue Tests for the Number of Latent Factors in Short Panels

Journal of Financial Econometrics

Alexei Onatski

2023/10/20

Target PCA: Transfer learning large dimensional panel data

Journal of Econometrics

Junting Duan

Markus Pelger

Ruoxuan Xiong

2023/10/11

Machine-learning the skill of mutual fund managers

Zihan Lin

Markus Pelger

Stijn Van Nieuwerburgh

2023/4

Interpretable sparse proximate factors for large dimensions

Journal of Business & Economic Statistics

Markus Pelger

Ruoxuan Xiong

2022/10/2

Shrinking the term structure

Damir Filipovic

Markus Pelger

Ye Ye

2022/8/8

State-varying factor models of large dimensions

Journal of Business & Economic Statistics

Markus Pelger

Ruoxuan Xiong

2022/6/16

Missing financial data

Available at SSRN

Svetlana Bryzgalova

Sven Lerner

Martin Lettau

Markus Pelger

2022/5/11

Inference for large panel data with many covariates

Available at SSRN 4315891

Markus Pelger

Jiacheng Zou

2022/12/31

Stripping the discount curve-a robust machine learning approach

Swiss Finance Institute Research Paper

Damir Filipović

Markus Pelger

Ye Ye

2022/3/15

Data Science in Science: Special Issue on Data Science in Modern Finance

Carolina Euan

Mark B Fiecas

Hernando Ombao

David S Matteson

2023/12/31

Bayesian Imputation with Optimal Look-Ahead-Bias and Variance Tradeoff

arXiv preprint arXiv:2202.00871

Jose Blanchet

Fernando Hernandez

Viet Anh Nguyen

Markus Pelger

Xuhui Zhang

2022/2/2

Discussion of “Text Selection” by Bryan Kelly, Asaf Manela, and Alan Moreira

Journal of Business & Economic Statistics

Markus Pelger

2021/10/2

Deep Learning Statistical Arbitrage

arXiv preprint arXiv:2106.04028

Jorge Guijarro-Ordonez

Markus Pelger

Greg Zanotti

2021/6/8

Textgnn: Improving text encoder via graph neural network in sponsored search

Jason Zhu

Yanling Cui

Yuming Liu

Hao Sun

Xue Li

...

2021/4/19

See List of Professors in Markus Pelger University(Stanford University)

Co-Authors

H-index: 41
Damir Filipovic

Damir Filipovic

École Polytechnique Fédérale de Lausanne

H-index: 39
Kay Giesecke

Kay Giesecke

Stanford University

H-index: 33
Martin Lettau

Martin Lettau

University of California, Berkeley

H-index: 17
An Chen

An Chen

Universität Ulm

H-index: 15
Klaus Sandmann

Klaus Sandmann

Rheinische Friedrich-Wilhelms-Universität Bonn

H-index: 12
Ruoxuan Xiong

Ruoxuan Xiong

Stanford University

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