Doron Avramov

6.4k total citations · 1 hit paper
78 papers, 4.0k citations indexed

About

Doron Avramov is a scholar working on Finance, Accounting and Economics and Econometrics. According to data from OpenAlex, Doron Avramov has authored 78 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Finance, 34 papers in Accounting and 33 papers in Economics and Econometrics. Recurrent topics in Doron Avramov's work include Financial Markets and Investment Strategies (64 papers), Corporate Finance and Governance (24 papers) and Credit Risk and Financial Regulations (17 papers). Doron Avramov is often cited by papers focused on Financial Markets and Investment Strategies (64 papers), Corporate Finance and Governance (24 papers) and Credit Risk and Financial Regulations (17 papers). Doron Avramov collaborates with scholars based in Israel, United States and Hong Kong. Doron Avramov's co-authors include Tarun Chordia, Alexander Philipov, Gergana Jostova, Si Cheng, Amit Goyal, Andrea Tarelli, Abraham Lioui, Robert Kosowski, Guofu Zhou and Allaudeen Hameed and has published in prestigious journals such as The Journal of Finance, Journal of Financial Economics and Management Science.

In The Last Decade

Doron Avramov

75 papers receiving 3.8k citations

Hit Papers

align trajectories

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.

Sustainable investing with ESG rating uncertainty

2021 674 citations Doron Avramov, Si Cheng et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Doron Avramov Israel	27	3.3k	2.0k	1.6k	630	558	78	4.0k
Paul Schultz United States	37	4.8k 1.4×	2.4k 1.2×	3.6k 2.2×	714 1.1×	461 0.8×	80	5.9k
Ekkehart Boehmer Singapore	34	4.6k 1.4×	1.8k 0.9×	3.6k 2.2×	491 0.8×	494 0.9×	81	5.3k
Lilian Ng United States	32	2.7k 0.8×	2.3k 1.1×	2.4k 1.5×	782 1.2×	231 0.4×	91	4.5k
Kewei Hou United States	28	4.7k 1.4×	2.8k 1.4×	3.2k 2.0×	1.1k 1.8×	754 1.4×	64	6.1k
Ronnie Sadka United States	28	4.0k 1.2×	1.9k 1.0×	2.4k 1.5×	443 0.7×	465 0.8×	77	4.3k
Mark J. Ready United States	19	4.9k 1.5×	2.3k 1.2×	3.1k 1.9×	435 0.7×	739 1.3×	29	5.4k
Christopher Polk United Kingdom	28	3.1k 0.9×	1.8k 0.9×	2.8k 1.7×	1.1k 1.7×	249 0.4×	50	4.3k
Jonathan Lewellen United States	20	4.0k 1.2×	2.3k 1.2×	2.0k 1.2×	750 1.2×	613 1.1×	33	4.6k
Thomas H. McInish United States	30	3.8k 1.1×	2.6k 1.3×	1.8k 1.1×	385 0.6×	591 1.1×	138	4.5k
S. Ghon Rhee United States	29	2.6k 0.8×	1.9k 1.0×	2.2k 1.4×	648 1.0×	307 0.6×	94	3.8k

Countries citing papers authored by Doron Avramov

Since Specialization

Citations

This map shows the geographic impact of Doron Avramov'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 Doron Avramov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doron Avramov more than expected).

Fields of papers citing papers by Doron Avramov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doron Avramov. 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 Doron Avramov. The network helps show where Doron Avramov may publish in the future.

Co-authorship network of co-authors of Doron Avramov

This figure shows the co-authorship network connecting the top 25 collaborators of Doron Avramov. A scholar is included among the top collaborators of Doron Avramov 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 Doron Avramov. Doron Avramov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Avramov, Doron, Si Cheng, & Andrea Tarelli. (2025). Active fund management when ESG matters. Journal of Banking & Finance. 182. 107597–107597.

2.

Avramov, Doron, et al.. (2024). Dynamic ESG Equilibrium. Management Science. 71(4). 2867–2889. 11 indexed citations

3.

Avramov, Doron, et al.. (2023). Integrating Factor Models. The Journal of Finance. 78(3). 1593–1646. 11 indexed citations

4.

Avramov, Doron, Guy Kaplanski, & Avanidhar Subrahmanyam. (2021). Postfundamentals Price Drift in Capital Markets: A Regression Regularization Perspective. Management Science. 68(10). 7658–7681. 2 indexed citations

5.

Avramov, Doron, et al.. (2021). Integrating Factor Models. SSRN Electronic Journal. 3 indexed citations

6.

Avramov, Doron, Guy Kaplanski, & Avanidhar Subrahmanyam. (2020). Moving average distance as a predictor of equity returns. Review of Financial Economics. 39(2). 127–145. 20 indexed citations

7.

Avramov, Doron, Guy Kaplanski, & Haim Levy. (2018). Talking Numbers: Technical versus fundamental investment recommendations. Journal of Banking & Finance. 92. 100–114. 15 indexed citations

8.

Avramov, Doron, Guy Kaplanski, & Avanidhar Subrahmanyam. (2018). Stock Return Predictability: New Evidence from Moving Averages of Prices and Firm Fundamentals. SSRN Electronic Journal. 13 indexed citations

9.

Avramov, Doron, Guy Kaplanski, & Avanidhar Subrahmanyam. (2018). Moving Average Distance as a Predictor of Equity Returns. SSRN Electronic Journal. 6 indexed citations

10.

Avramov, Doron, Laurent Barras, & Robert Kosowski. (2013). Hedge Fund Return Predictability Under the Magnifying Glass. Journal of Financial and Quantitative Analysis. 48(4). 1057–1083. 38 indexed citations

11.

Avramov, Doron, Tarun Chordia, Gergana Jostova, & Alexander Philipov. (2012). The World Price of Credit Risk. SSRN Electronic Journal. 6 indexed citations

12.

Avramov, Doron & Scott Cederburg. (2012). Implications of Long-Run Risk for Asset Allocation Decisions. SSRN Electronic Journal. 2 indexed citations

13.

Avramov, Doron & Guofu Zhou. (2010). Bayesian Portfolio Analysis. Annual Review of Financial Economics. 2(1). 25–47. 86 indexed citations

14.

Avramov, Doron, et al.. (2010). Anomalies and Financial Distress. SSRN Electronic Journal. 1 indexed citations

15.

Avramov, Doron, Laurent Barras, & Robert Kosowski. (2009). Hedge Fund Predictability under the Magnifying Glass: Forecasting Individual Fund Returns Using Multiple Predictors. SSRN Electronic Journal. 2 indexed citations

16.

Avramov, Doron, Tarun Chordia, Gergana Jostova, & Alexander Philipov. (2009). Credit Ratings and the Cross-Section of Stock Returns. SSRN Electronic Journal. 33 indexed citations

17.

Avramov, Doron, Tarun Chordia, & Amit Goyal. (2006). The Impact of Trades on Daily Volatility. Review of Financial Studies. 19(4). 1241–1277. 195 indexed citations

18.

Avramov, Doron, Tarun Chordia, Gergana Jostova, & Alexander Philipov. (2005). Momentum and Credit Rating. SSRN Electronic Journal. 52 indexed citations

19.

Avramov, Doron, John C. Chao, & Tarun Chordia. (2002). Hedging Against Liquidity Risk and Short Sale Constraints. SSRN Electronic Journal. 7 indexed citations

20.

Avramov, Doron & John C. Chao. (2001). An Exact Bayes Test of Asset Pricing Models with Application to International Markets. SSRN Electronic Journal. 12 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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