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Publishing a Corporate Finance Panel Study in an SCI Q2 Journal

A completed corporate finance consultation that strengthened evidence on working-capital efficiency and firm resilience during economic shocks.

AC
Anonymised client
Corporate Finance Researcher
Field
Working Capital & Resilience
Focus
Journal Publication
RTPhD-led · anonymised composite scenario

Anonymised composite:this case study illustrates our consultation process. Details are anonymised and combined from real engagements, and it should not be read as a verified individual client’s publication record. Our verified, named case studies are marked as such.

Published
Final status
SCI Q2
Journal tier
The challenge

Where the client started

A corporate finance researcher had assembled multi-year accounting data for publicly listed firms and linked a shorter cash-conversion cycle with stronger operating performance during an economic shock. The dataset was large, but the conclusions drawn from it were fragile.

The draft mixed firms from incomparable sectors, used several overlapping performance measures, ignored repeated observations within firms and described association as proof that working-capital policy caused resilience.

Our approach

What we did

STEP 01
Establishing a credible finance question

Redefined the study around whether pre-shock working-capital efficiency was associated with subsequent operating resilience, after accounting for firm characteristics and common time effects. Financial institutions were excluded because their balance-sheet structures were not comparable, and the manuscript separated short-term operating continuity from long-term firm value.

STEP 02
Rebuilding the empirical model

Defined the cash-conversion cycle consistently from inventory, receivables and payables components with all accounting transformations documented; used firm and year effects to address stable company characteristics and economy-wide changes; applied transparent winsorisation rules and repeated key models without extreme observations; and clustered uncertainty at the firm level while reporting economic magnitude alongside statistical significance.

STEP 03
Testing robustness

Tested alternative resilience measures, lag structures, sector exclusions and pre-shock trends while treating causal identification cautiously.

STEP 04
Teaching the researcher to write finance results

Reorganised the Results from a long sequence of regressions into a theory-led progression: sample description, primary specification, economic interpretation and robustness. The researcher learned to explain coefficient magnitude in practical working-capital terms, distinguish liquidity management from profitability and avoid presenting statistically significant estimates as automatic evidence of managerial effectiveness.

STEP 05
SCI Q2 journal consultation and selection

Assessed candidate journals for corporate finance, financial management and applied panel-data scope, methodological expectations, readership and publication cost. Web of Science coverage and quartile were checked at selection because classifications can change; the chosen SCI Q2 outlet matched a carefully bounded empirical contribution without requiring unsupported causal or investment recommendations.

STEP 06
From peer review to production

Revised the sampling table to explain sector exclusions, missing observations and the construction of the final firm-year panel; added alternative specifications addressing profitability persistence, leverage, firm size and macroeconomic time effects; expanded the Discussion on reverse causality, measurement limitations and boundary conditions; and checked proofs, equations, table notes, data labels and author queries before approving the final production files.

The results

The outcome

After peer review, revision and production checks, the article was published in an SCI-indexed Q2 corporate finance journal. The outcome reflects structured analytical and editorial support; it does not guarantee publication for another manuscript.

The researcher gained a reusable workflow for constructing firm panels, defining accounting variables, treating outliers, selecting fixed effects and interpreting financial estimates responsibly.

Published
Final status
SCI Q2
Journal tier
Services used

How we delivered this outcome

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