Andrew Y. Chen

1.1k total citations · 1 hit paper
34 papers, 549 citations indexed

About

Andrew Y. Chen is a scholar working on Finance, Economics and Econometrics and Accounting. According to data from OpenAlex, Andrew Y. Chen has authored 34 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Finance, 14 papers in Economics and Econometrics and 8 papers in Accounting. Recurrent topics in Andrew Y. Chen's work include Financial Markets and Investment Strategies (24 papers), Monetary Policy and Economic Impact (7 papers) and Stock Market Forecasting Methods (6 papers). Andrew Y. Chen is often cited by papers focused on Financial Markets and Investment Strategies (24 papers), Monetary Policy and Economic Impact (7 papers) and Stock Market Forecasting Methods (6 papers). Andrew Y. Chen collaborates with scholars based in United States, Germany and Singapore. Andrew Y. Chen's co-authors include Tom Zimmermann, Mihail Velikov, Jennifer L. Nemhauser, Kavitha T. Kuppusamy, D.J. Allstot, Anna M. R. Dixon, Daibashish Gangopadhyay, Alejandro Lopez-Lira, Yanbin Xu and Guangming Pan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Finance and Journal of Financial Economics.

In The Last Decade

Andrew Y. Chen

33 papers receiving 533 citations

Hit Papers

Open Source Cross-Sectional Asset Pricing 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Open Source Cross-Sectional Asset Pricing
    2022 139 citations Andrew Y. Chen, Tom Zimmermann RePEc: Research Papers in Economics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew Y. Chen United States 13 322 223 105 102 68 34 549
Duong Nguyen United States 10 73 0.2× 56 0.3× 95 0.9× 23 0.2× 4 0.1× 38 293
Andrew Blake United Kingdom 14 114 0.4× 273 1.2× 41 0.4× 24 0.2× 6 0.1× 59 481
Martin Gould United Kingdom 8 163 0.5× 192 0.9× 14 0.1× 105 1.0× 1 0.0× 19 359
Zygmunt Mazur Poland 7 139 0.4× 247 1.1× 4 0.0× 38 0.4× 4 0.1× 29 321
Konstantinos Theofilatos Greece 8 47 0.1× 80 0.4× 5 0.0× 125 1.2× 2 0.0× 13 277
Jae Youn Ahn South Korea 9 60 0.2× 63 0.3× 4 0.0× 106 1.0× 2 0.0× 33 339
Peter Martey Addo France 5 73 0.2× 64 0.3× 122 1.2× 35 0.3× 3 0.0× 9 253
Ines Wilms Netherlands 9 49 0.2× 150 0.7× 3 0.0× 37 0.4× 1 0.0× 27 270
Youngki Shin Canada 9 25 0.1× 97 0.4× 2 0.0× 11 0.1× 15 0.2× 20 325
Farid AitSahlia United States 9 230 0.7× 75 0.3× 3 0.0× 42 0.4× 21 354

Countries citing papers authored by Andrew Y. Chen

Since Specialization
Citations

This map shows the geographic impact of Andrew Y. Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew Y. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Y. Chen more than expected).

Fields of papers citing papers by Andrew Y. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Y. Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew Y. Chen. The network helps show where Andrew Y. Chen may publish in the future.

Co-authorship network of co-authors of Andrew Y. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Y. Chen. A scholar is included among the top collaborators of Andrew Y. Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew Y. Chen. Andrew Y. Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Andrew Y., et al.. (2024). Missing values handling for machine learning portfolios. Journal of Financial Economics. 155. 103815–103815. 10 indexed citations
2.
Chen, Andrew Y.. (2024). Do t-Statistic Hurdles Need to Be Raised?. Management Science. 71(7). 5830–5848.
3.
Chen, Andrew Y. & Mihail Velikov. (2022). Zeroing In on the Expected Returns of Anomalies. Journal of Financial and Quantitative Analysis. 58(3). 968–1004. 37 indexed citations
4.
Chen, Andrew Y., Alejandro Lopez-Lira, & Tom Zimmermann. (2022). Peer-Reviewed Theory Does Not Help Predict the Cross-section of Stock Returns. SSRN Electronic Journal. 6 indexed citations
5.
Chen, Andrew Y. & Tom Zimmermann. (2022). Open Source Cross-Sectional Asset Pricing. RePEc: Research Papers in Economics. 11(2). 207–264. 139 indexed citations breakdown →
6.
Chen, Andrew Y. & Tom Zimmermann. (2021). Open Source Cross-Sectional Asset Pricing. Finance and Economics Discussion Series. 2021.0(37). 1–66. 16 indexed citations
7.
Chen, Andrew Y., et al.. (2021). In Full-Information Estimates, Long-Run Risks Explain at Most a Quarter of P/D Variance, and Habit Explains Even Less. RePEc: Research Papers in Economics. 10(3). 329–381. 1 indexed citations
8.
Chen, Andrew Y. & Mihail Velikov. (2020). Zeroing in on the Expected Returns of Anomalies. Finance and Economics Discussion Series. 2020.0(39). 10 indexed citations
9.
Chen, Andrew Y. & Tom Zimmermann. (2020). Open Source Cross-Sectional Asset Pricing. SSRN Electronic Journal. 12 indexed citations
10.
Chen, Andrew Y., et al.. (2020). The Stock Market–Real Economy "Disconnect": A Closer Look. FEDS Notes. 2020.0(2800). 4 indexed citations
11.
Chen, Andrew Y. & Tom Zimmermann. (2018). Publication Bias and the Cross-Section of Stock Returns. Finance and Economics Discussion Series. 2018(33). 10 indexed citations
12.
Chen, Andrew Y., et al.. (2018). An Irrelevance Theorem for Risk Aversion and Time-Varying Risk. SSRN Electronic Journal. 1 indexed citations
13.
14.
Chen, Andrew Y. & Tom Zimmermann. (2017). Selection Bias and the Cross-Section of Expected Returns. SSRN Electronic Journal. 2 indexed citations
15.
Chen, Andrew Y.. (2016). External Habit in a Production Economy: A Model of Asset Prices and Consumption Volatility Risk. SSRN Electronic Journal. 7 indexed citations
16.
Chen, Andrew Y.. (2016). Semi-Parametric Restrictions on Production-Based Asset Pricing Models. SSRN Electronic Journal. 2 indexed citations
17.
Chen, Andrew Y.. (2014). Precautionary Volatility and Asset Prices. SSRN Electronic Journal. 2 indexed citations
18.
Chen, Andrew Y.. (2012). Prudential Uncertainty Causes Time-Varying Risk Premiums. SSRN Electronic Journal. 1 indexed citations
19.
Chen, Andrew Y., et al.. (2010). Compressive sampling of ECG bio-signals: Quantization noise and sparsity considerations. 41–44. 31 indexed citations
20.
Kuppusamy, Kavitha T., Andrew Y. Chen, & Jennifer L. Nemhauser. (2009). Steroids are required for epidermal cell fate establishment in Arabidopsis roots. Proceedings of the National Academy of Sciences. 106(19). 8073–8076. 62 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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