Andreas Neuhierl
Economics, Econometrics and Finance · Purdue University West Lafayette
Publications
59
Citations
1,454
Est. group size
—
Recurring co-author estimate
Active years
19
Publishing since 2008
Andreas Neuhierl studies asset pricing, the field concerned with how financial assets like stocks and options are valued and how their expected returns can be predicted. His recent work applies machine learning and statistical methods to problems such as handling missing data in financial datasets, forecasting stock and stock-index returns, and using option market signals to predict stock behavior. He also examines volatility (how much asset prices fluctuate) and how it relates to risk and expected returns.
Publication output has gradually declined from about 6-7 papers per year a decade ago to roughly 3-5 per year most recently, though working papers continue to appear steadily.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Is Expected Market Volatility a Priced Risk Factor?
SSRN Electronic Journal · 2026
- Do Option Characteristics Predict the Underlying Stock Returns in the Cross-Section?
Management Science · 2025
- The Uncertainty of Machine Learning Predictions in Asset Pricing 
SSRN Electronic Journal · 2025
- Accounting Under Pressure: How Accounting Rules Shape Bond Prices and Firm Investment Post Crises <br>
SSRN Electronic Journal · 2025
- The Uncertainty of Machine Learning Predictions in Asset Pricing
arXiv (Cornell University) · 2025
- A Conditional Machine Learning Model for Predicting Stock Index Returns
SSRN Electronic Journal · 2025
- Missing Data in Asset Pricing Panels
Review of Financial Studies · 2024
- Replication Data for: "Missing Data in Asset Pricing Panels"
Harvard Dataverse · 2024
- Robust Stock Index Return Predictions Using Deep Learning *
SSRN Electronic Journal · 2024
- Missing Data in Asset Pricing Panels
SSRN Electronic Journal · 2023
- Timing the Factor Zoo
SSRN Electronic Journal · 2023
- Economic Forecasts Using Many Noises
SSRN Electronic Journal · 2023
- Benign Overfitting in Economic Forecasting via Noise Regularization
arXiv (Cornell University) · 2023
- Timing the factor zoo
WU Research · 2023
- Missing Data in Asset Pricing Panels
National Bureau of Economic Research · 2022
- SSRN Electronic Journal×30
- National Bureau of Economic Research×5
- Review of Financial Studies×3
- Journal of Financial Economics×2
- arXiv (Cornell University)×2
- Svetlana Bryzgalova
Economics, Econometrics and Finance · Indiana University
- Peter G. Hansen
Economics, Econometrics and Finance · Purdue University West Lafayette
- Shaojun Zhang
Economics, Econometrics and Finance · The Ohio State University
- Nilanjana Chakraborty
Economics, Econometrics and Finance · Purdue University West Lafayette
- Christian Heyerdahl-Larsen
Economics, Econometrics and Finance · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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