David Rapach

David Rapach

Saint Louis University

H-index: 41

North America-United States

About David Rapach

David Rapach, With an exceptional h-index of 41 and a recent h-index of 28 (since 2020), a distinguished researcher at Saint Louis University, specializes in the field of Financial economics, Macroeconomics.

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

Is the Last Mile More Arduous?

The Anatomy of Portfolio Performance: A Shapley-Based Approach

Mixed-frequency machine learning: Nowcasting and backcasting weekly initial claims with daily internet search volume data

Cross-sectional expected returns: New fama-macbeth regressions in the era of machine learning

Cryptocurrency Return Predictability: A Machine-Learning Analysis

Forecasting: theory and practice

Asset pricing: Time-series predictability

Anomalies and the expected market return

David Rapach Information

University

Position

Professor of Economics

Citations(all)

10320

Citations(since 2020)

5319

Cited By

6926

hIndex(all)

41

hIndex(since 2020)

28

i10Index(all)

66

i10Index(since 2020)

49

Email

University Profile Page

Saint Louis University

Google Scholar

View Google Scholar Profile

David Rapach Skills & Research Interests

Financial economics

Macroeconomics

Top articles of David Rapach

Title

Journal

Author(s)

Publication Date

Is the Last Mile More Arduous?

Policy Hub

David E Rapach

2024/1/16

The Anatomy of Portfolio Performance: A Shapley-Based Approach

Available at SSRN

Philippe Goulet Coulombe

David Rapach

Erik Christian Montes Schütte

Sander Schwenk-Nebbe

2023/11/9

Mixed-frequency machine learning: Nowcasting and backcasting weekly initial claims with daily internet search volume data

International Journal of Forecasting

Daniel Borup

David E Rapach

Erik Christian Montes Schütte

2023/7/1

Cross-sectional expected returns: New fama-macbeth regressions in the era of machine learning

Available at SSRN 3185335

Yufeng Han

Ai He

David Rapach

Guofu Zhou

2023/4/28

Cryptocurrency Return Predictability: A Machine-Learning Analysis

Available at SSRN 3914414

Ilias Filippou

David Rapach

Christoffer Thimsen

2023/2/8

Forecasting: theory and practice

Fotios Petropoulos

Daniele Apiletti

Vassilios Assimakopoulos

Mohamed Zied Babai

Devon K Barrow

...

2022/7/1

Asset pricing: Time-series predictability

David Rapach

Guofu Zhou

2022/3/24

Anomalies and the expected market return

The Journal of Finance

Xi Dong

Yan Li

David E Rapach

Guofu Zhou

2022/2

The anatomy of out-of-sample forecasting accuracy

Daniel Borup

Philippe Goulet Coulombe

David Rapach

Erik Christian Montes Schütte

Sander Schwenk-Nebbe

2022/11/16

Now-and backcasting initial claims with high-dimensional daily internet search-volume data

Daniel Borup

David E Rapach

Erik Christian Montes Schütte

2021/1/11

Sparse macro factors

Available at SSRN 3259447

David Rapach

Guofu Zhou

2021

Boosting cryptocurrency return prediction

Available at SSRN

Ilias Filippou

David Rapach

Christoffer Thimsen

2021/8/30

Exchange Rate Prediction with Machine Learning and a Smart Carry Trade Portfolio

Ilias Filippou

David Rapach

Mark P Taylor

Guofu Zhou

2020/9/1

Firm characteristics and expected stock returns

Available at SSRN

Yufeng Han

Ai He

David Rapach

Guofu Zhou

2020

2 The rise and decline of a university1

Power and Protest at an American University: No Confidence, No Fear

David E Rapach

Bonnie Wilson

2020/10/27

Time‐series and cross‐sectional stock return forecasting: New machine learning methods

Machine learning for asset management: New developments and financial applications

David E Rapach

Guofu Zhou

2020/6/30

Bayesian Estimation of Macro-Finance DSGE Models with Stochastic Volatility

Available at SSRN 3469356

David Rapach

Fei Tan

2020/3/17

See List of Professors in David Rapach University(Saint Louis University)