MétaCan
Menu
← Back to cohort
Record W4367315967 · doi:10.3390/jrfm16050258

The Effect of ECB Unconventional Monetary Policy on Firms’ Performance during the Global Financial Crisis

2023· article· en· W4367315967 on OpenAlexvenueno aff
Charalampos Basdekis, Apostolos G. Christopoulos, Evgenios Gakias, Ioannis Katsampoxakis

Bibliographic record

VenueJournal of risk and financial management · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsReturn on equityMonetary economicsReturn on assetsFinancial crisisCapital structureEconomicsProfitability indexEquity (law)Financial systemBusinessDebtFinanceMacroeconomics

Abstract

fetched live from OpenAlex

This study aims to analyse and investigate the most important factors affecting the performance of listed firms in the Athens Stock Exchange, emphasising capital structure, size and sovereign debt rate as a proxy for firms’ borrowing rate. Yet, the most remarkable factor taken into consideration to affect firms’ profitability is the delta of ECB assets as a proxy of the ECB’s strategy during the financial crisis. Indeed, the examination of the ECB’s delta is innovative for such analysis and differentiates this study from previous ones. The survey was conducted for the period 2005–2019, and the sample consisted of 49 firms from all sectors of the economic activity, except for the financial sector, as its companies’ capital structure is subject to supervisory restrictions. Thus, the financial sector’s inclusion in the sample would affect its homogeneity. The sample is divided into two sub periods, based on the statement of ECB’s president Mario Draghi “Whatever it takes,” in 2012, expressing the ECB’s strategy for backing and boosting the Eurozone economy. The empirical approach of our analysis is based on a panel data analysis, which allows the combination of both cross-section and time series data. In addition, we develop, test and analyse four specifications of our main model, each one with a different dependent variable as a proxy for profitability. These variables are EPS (earnings per share), ROE (return on equity), ROA (return on assets) and TOBIN’s Q. Our findings lead to some very interesting conclusions, which in most cases are consistent for the specification of all the examined models. More specifically, the results show a negative influence of debt-to-equity ratio and 10-year Greek yield bond on firms’ profitability regardless of the proxy used (EPS, ROE or TOBIN’s Q), while there is a positive impact of firms’ size and the delta of ECB’s total assets on firms’ profitability. However, the soundest outcome of this study shows that the expansion of the ECB’s balance sheet and the unconventional policy does contribute to the improvement of firms’ performance and economic stability. The findings become even more impressive, considering the turning of ECB’s strategy after the implementation of the unconventional policy in 2012. Our findings are useful for policymakers of international institutions and government authorities as we propose strategies favouring economic stability and economic activity but also for managers and stakeholders who can identify the factors which determine firms’ performance in order to apply the best policies for financing, investments and growth.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.198
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of risk and financial management→Same topicCorporate Finance and Governance→French-language works237,207→