Daniel Hoechle

3.8k total citations · 1 hit paper
19 papers, 2.7k citations indexed

About

Daniel Hoechle is a scholar working on Accounting, Finance and Economics and Econometrics. According to data from OpenAlex, Daniel Hoechle has authored 19 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Accounting, 11 papers in Finance and 8 papers in Economics and Econometrics. Recurrent topics in Daniel Hoechle's work include Corporate Finance and Governance (10 papers), Financial Markets and Investment Strategies (9 papers) and Housing Market and Economics (5 papers). Daniel Hoechle is often cited by papers focused on Corporate Finance and Governance (10 papers), Financial Markets and Investment Strategies (9 papers) and Housing Market and Economics (5 papers). Daniel Hoechle collaborates with scholars based in Switzerland, Germany and Belgium. Daniel Hoechle's co-authors include Markus Schmid, David Yermack, Ingo Walter, Nic Schaub, Stefan Ruenzi, Manuel Ammann and Heinz Zimmermann and has published in prestigious journals such as Journal of Financial Economics, Review of Financial Studies and The Stata Journal Promoting communications on statistics and Stata.

In The Last Decade

Daniel Hoechle

19 papers receiving 2.5k 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.

Robust Standard Errors for Panel Regressions with Cross-Sectional Dependence

2007 2.1k citations Daniel Hoechle The Stata Journal Promoting communications on statistics and Stata profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Hoechle Switzerland	10	1.5k	912	541	488	314	19	2.7k
Dimitrios Asteriou United Kingdom	26	1.6k 1.1×	783 0.9×	530 1.0×	461 0.9×	631 2.0×	72	2.7k
Duc Hong Vo Vietnam	28	1.9k 1.3×	896 1.0×	348 0.6×	636 1.3×	323 1.0×	174	3.0k
Alexey Levkov United States	6	1.6k 1.1×	625 0.7×	526 1.0×	367 0.8×	315 1.0×	7	2.4k
Colin Kirkpatrick United Kingdom	30	1.6k 1.1×	557 0.6×	382 0.7×	727 1.5×	624 2.0×	150	3.3k
Wan Azman Saini Wan Ngah Malaysia	22	1.4k 0.9×	530 0.6×	442 0.8×	493 1.0×	555 1.8×	79	2.2k
Andrea Presbitero United States	30	2.2k 1.5×	790 0.9×	1.3k 2.4×	411 0.8×	859 2.7×	114	3.3k
Richard Harris United Kingdom	24	1.9k 1.3×	415 0.5×	1.1k 2.1×	195 0.4×	743 2.4×	113	2.9k
Thanh Dinh Su Vietnam	34	2.5k 1.7×	318 0.3×	254 0.5×	290 0.6×	531 1.7×	93	3.2k
Ruth Judson United States	17	2.3k 1.6×	269 0.3×	645 1.2×	169 0.3×	892 2.8×	36	3.0k
Talat Afza Pakistan	21	1.2k 0.8×	1.0k 1.1×	129 0.2×	384 0.8×	167 0.5×	66	2.4k

Countries citing papers authored by Daniel Hoechle

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Hoechle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hoechle

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

All Works

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19 of 19 papers shown

Hoechle, Daniel, Stefan Ruenzi, Nic Schaub, & Markus Schmid. (2023). Financial Advice and Retirement Savings. SSRN Electronic Journal. 1 indexed citations

Schmid, Markus, Daniel Hoechle, & Heinz Zimmermann. (2020). <span>Generalized Portfolio Sorts for Factor Validation</span>. SSRN Electronic Journal. 6 indexed citations

Hoechle, Daniel, Stefan Ruenzi, Nic Schaub, & Markus Schmid. (2018). Financial Advice and Bank Profits. Review of Financial Studies. 31(11). 4447–4492. 45 indexed citations

Hoechle, Daniel, Markus Schmid, & Heinz Zimmermann. (2018). Correcting Alpha Misattribution in Portfolio Sorts. SSRN Electronic Journal. 2 indexed citations

Hoechle, Daniel, et al.. (2017). The Long-Term Performance of IPOs, Revisited. SSRN Electronic Journal. 6 indexed citations

Hoechle, Daniel, Stefan Ruenzi, Nic Schaub, & Markus Schmid. (2016). The Impact of Financial Advice on Trade Performance and Behavioral Biases. European Finance Review. 21(2). 871–910. 50 indexed citations

Hoechle, Daniel, Nic Schaub, & Markus Schmid. (2015). Time Stamp Errors and the Stock Price Reaction to Analyst Recommendation and Forecast Revisions. SSRN Electronic Journal. 13 indexed citations

Hoechle, Daniel, Stefan Ruenzi, Nic Schaub, & Markus Schmid. (2014). Don't Answer the Phone - Financial Advice and Individual Investorss Performance. SSRN Electronic Journal. 10 indexed citations

Ammann, Manuel, Daniel Hoechle, & Markus Schmid. (2011). Is There Really No Conglomerate Discount?. SSRN Electronic Journal. 6 indexed citations

10.

Ammann, Manuel, Daniel Hoechle, & Markus Schmid. (2011). Is there Really No Conglomerate Discount?. Journal of Business Finance & Accounting. 39(1-2). 264–288. 37 indexed citations

11.

Hoechle, Daniel, Markus Schmid, Ingo Walter, & David Yermack. (2011). How much of the diversification discount can be explained by poor corporate governance?. Journal of Financial Economics. 103(1). 41–60. 247 indexed citations

12.

Hoechle, Daniel, Markus Schmid, Ingo Walter, & David Yermack. (2011). How Much of the Diversification Discount Can be Explained by Poor Corporate Governance?. SSRN Electronic Journal. 50 indexed citations

13.

Hoechle, Daniel & Markus Schmid. (2009). Predicting and Explaining IPO Underperformance. SSRN Electronic Journal. 7 indexed citations

14.

Hoechle, Daniel & Markus Schmid. (2009). Which, Why, and for How Long Do IPOs Underperform?. SSRN Electronic Journal. 2 indexed citations

15.

Ammann, Manuel, Daniel Hoechle, & Markus Schmid. (2009). Is there Really no Conglomerate Discount?. SSRN Electronic Journal. 4 indexed citations

16.

Hoechle, Daniel, et al.. (2009). A Generalization of the Calendar Time Portfolio Approach and the Performance of Private Investors. Econstor (Econstor). 18 indexed citations

17.

Hoechle, Daniel & Markus Schmid. (2008). Which, Why, and for How Long Do IPOs Underperform?. SSRN Electronic Journal. 9 indexed citations

18.

Hoechle, Daniel. (2007). Robust Standard Errors for Panel Regressions with Cross-Sectional Dependence. The Stata Journal Promoting communications on statistics and Stata. 7(3). 281–312. 2147 indexed citations breakdown →

19.

Hoechle, Daniel. (2006). XTFMB: Stata module to execute Fama-MacBeth two-step panel regression. RePEc: Research Papers in Economics. 1 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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