Alejandro Lopez-Lira

752 total citations · 1 hit paper
14 papers, 263 citations indexed

About

Alejandro Lopez-Lira is a scholar working on Finance, Accounting and Economics and Econometrics. According to data from OpenAlex, Alejandro Lopez-Lira has authored 14 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Finance, 8 papers in Accounting and 4 papers in Economics and Econometrics. Recurrent topics in Alejandro Lopez-Lira's work include Financial Markets and Investment Strategies (8 papers), Auditing, Earnings Management, Governance (6 papers) and Corporate Finance and Governance (3 papers). Alejandro Lopez-Lira is often cited by papers focused on Financial Markets and Investment Strategies (8 papers), Auditing, Earnings Management, Governance (6 papers) and Corporate Finance and Governance (3 papers). Alejandro Lopez-Lira collaborates with scholars based in United States, United Kingdom and South Korea. Alejandro Lopez-Lira's co-authors include Yuehua Tang, Jules H. van Binsbergen, Andrew Y. Chen, Xiao Han, Tom Zimmermann, Yong-Jin Kim, Sophia Ananiadou, Meikang Qiu, Yongjae Lee and Jimin Huang and has published in prestigious journals such as Review of Financial Studies, Economics Letters and SSRN Electronic Journal.

In The Last Decade

Alejandro Lopez-Lira

10 papers receiving 249 citations

Hit Papers

Can ChatGPT Forecast Stock Price Movements? Return Predic... 2023 2026 2024 2025 2023 50 100 150
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. Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models
    2023 179 citations Alejandro Lopez-Lira, Yuehua Tang SSRN Electronic Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alejandro Lopez-Lira United States 6 109 101 72 71 62 14 263
Hyungjin Ko South Korea 10 74 0.7× 88 0.9× 32 0.4× 105 1.5× 114 1.8× 18 419
Irene Aldridge United States 7 124 1.1× 158 1.6× 25 0.3× 140 2.0× 29 0.5× 20 270
Vasileios Siakoulis Greece 8 74 0.7× 102 1.0× 84 1.2× 92 1.3× 37 0.6× 17 242
Evangelos Stavroulakis Greece 6 179 1.6× 112 1.1× 91 1.3× 138 1.9× 54 0.9× 8 348
Francesco Corea Italy 9 45 0.4× 25 0.2× 66 0.9× 62 0.9× 30 0.5× 16 211
Edwige Cheynel United States 9 70 0.6× 138 1.4× 282 3.9× 55 0.8× 53 0.9× 23 375
David Alaminos Spain 12 99 0.9× 79 0.8× 116 1.6× 146 2.1× 57 0.9× 37 359
Soonho Kim South Korea 6 135 1.2× 210 2.1× 76 1.1× 151 2.1× 29 0.5× 15 295
Andreas Joseph United Kingdom 10 83 0.8× 91 0.9× 47 0.7× 139 2.0× 27 0.4× 18 278

Countries citing papers authored by Alejandro Lopez-Lira

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Lopez-Lira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Lopez-Lira. 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 Alejandro Lopez-Lira. The network helps show where Alejandro Lopez-Lira may publish in the future.

Co-authorship network of co-authors of Alejandro Lopez-Lira

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

All Works

14 of 14 papers shown
1.
2.
Choi, Chanyeol, et al.. (2025). Your AI, Not Your View: The Bias of LLMs in Investment Analysis. 150–158.
3.
4.
Lopez-Lira, Alejandro, Xiao-Yang Liu, Meikang Qiu, et al.. (2024). Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English. 6236–6246. 3 indexed citations
5.
Lopez-Lira, Alejandro & Yuehua Tang. (2023). Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models. SSRN Electronic Journal. 179 indexed citations breakdown →
6.
Lopez-Lira, Alejandro, et al.. (2023). Follow the Pipeline: Anticipatory Effects of Proposed Regulations. SSRN Electronic Journal. 3 indexed citations
7.
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
8.
Binsbergen, Jules H. van, et al.. (2022). Man versus Machine Learning: The Term Structure of Earnings Expectations and Conditional Biases. Review of Financial Studies. 36(6). 2361–2396. 28 indexed citations
9.
10.
Binsbergen, Jules H. van, et al.. (2021). Textual Analysis of Short-seller Research Reports, Stock Prices, and Real Investment. SSRN Electronic Journal. 2 indexed citations
11.
Lopez-Lira, Alejandro. (2021). Why do managers disclose risks accurately? Textual analysis, disclosures, and risk exposures. Economics Letters. 204. 109896–109896. 9 indexed citations
12.
Lopez-Lira, Alejandro, et al.. (2020). Do Common Factors Really Explain the Cross-Section of Stock Returns?. SSRN Electronic Journal. 1 indexed citations
13.
Binsbergen, Jules H. van, Xiao Han, & Alejandro Lopez-Lira. (2020). Man vs. Machine Learning: The Term Structure of Earnings Expectations and Conditional Biases. SSRN Electronic Journal. 7 indexed citations
14.
Lopez-Lira, Alejandro. (2019). Risk Factors That Matter: Textual Analysis of Risk Disclosures for the Cross-Section of Returns. SSRN Electronic Journal. 25 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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