Assignment II — Referee Report

Research in Finance

Authors
Affiliation

Prof. Dr. Andre Guettler

Institute of Strategic Management and Finance, Ulm University

Oliver Padmaperuma

Institute of Strategic Management and Finance, Ulm University

Overview

Due: 3 February 2026 via email. Submission format: one PDF, 2.5–3 pages, 11 pt Times New Roman, 1.5 spaced. Group size: up to 5 students. Weight: 50% of the final grade.

Attend the mandatory Brown Bag Seminar on 20 January 2026 (13:30–16:00) and select one doctoral presentation to critique, applying the writing, publishing, and refereeing tips from Lecture 4 to practice thesis-level analysis.

Submission rules

You must submit only one file:

  • One 2.5–3 page report in academic referee style, focusing on the presentation’s contribution to the literature and your judgment of its empirical strategy.
  • Include your name(s) and the title of the chosen presentation in the document.

Email the report as PDF to oliver.padmaperuma@uni-ulm.de, with andre.guettler@uni-ulm.de in CC. Subject / file pattern: RiF2025_RefereeReport_surname1_surname2_....

You will receive the PDF of each presentation and the corresponding working paper (when available). Sometimes there is no working paper; in that case base your report solely on the presentation.


Required content (the three-part referee structure)

1. Summary

A short summary of the paper / presentation in your own words, addressing:

  • What is the question asked by the author?
  • What is the identification strategy?
  • What data is used?
  • How is the hypothesis formulated and tested?
  • What are the results?

The purpose of this section is to summarise the work for the editor in a way that lets her understand the essence and contribution without having to read the paper.

2. Major issues — 3 or 4 points

For each major positive or negative point, dig into one of the following dimensions:

  • The question — clearly explained and motivated? Original? Reasonable scope?
  • The identification strategy — source of variation, endogeneity, robustness, causal interpretation.
  • The data — fit for purpose, replicable, measurement-error issues, summary statistics.
  • The econometric analysis — appropriate techniques, estimator properties, alternative specifications, robustness.
  • The results & conclusion — clearly stated, related back to the question, caveats, well-supported claims.

For a positive point: argue why the question / approach / techniques / identification / data is particularly important, novel, innovative, or unusual.

For a negative point: look for lack of correspondence between the idea and the model, the model and the empiricism, the empirical strategy and the conclusion. Another rejection-worthy argument: the paper has nothing wrong but is boring and not new — refer to other works to show why this is well known or already done.

3. Minor issues — optional

If you have major criticisms that lead you to recommend rejection, you don’t need a section on minor issues. Otherwise, include a few useful suggestions to improve the paper (clarity, structure, additional robustness checks, presentation).


Tasks summary

  1. Summarise the presentation’s main ideas.
  2. Evaluate novelty compared to existing literature.
  3. Assess the empirical methods (identification, robustness).
  4. Discuss implications, strengths, weaknesses, limitations, and suggestions for improvement.

Grading rubric

Criterion Weight
Depth of analysis (contribution and empirical aspects) 40%
Writing quality (concise, organised, skim-friendly) 30%
Originality of insights 20%
Adherence to format (2.5–3 pages, 11 pt TNR, 1.5 spaced, structure) 10%

Honor code

By submitting this referee report, you confirm that the work is your group’s own and that any AI assistance has been disclosed.