M
Maria Psillaki
Researcher at University of Piraeus
Publications - 27
Citations - 2202
Maria Psillaki is an academic researcher from University of Piraeus. The author has contributed to research in topics: Capital structure & Leverage (finance). The author has an hindex of 11, co-authored 25 publications receiving 1957 citations. Previous affiliations of Maria Psillaki include University of Nice Sophia Antipolis & Centre national de la recherche scientifique.
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Capital structure, equity ownership and firm performance
TL;DR: In this paper, the authors investigate the relationship between capital structure, ownership structure and firm performance using a sample of French manufacturing firms and employ nonparametric data envelopment analysis (DEA) methods to empirically construct the industry's best practice frontier and measure firm efficiency as the distance from that frontier.
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Are the determinants of capital structure country or firm specific
TL;DR: In this paper, the authors investigate the capital structure determinants of Greek, French, Italian, and Portuguese small and medium-sized enterprises (SMEs) and compare the capital structures of SMEs across countries and differences in country characteristics, asset structure, size, profitability, risk, and growth.
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Capital Structure and Firm Efficiency
TL;DR: In this article, the authors investigated the relationship between firm efficiency and leverage and found that the reverse causality effect of efficiency on leverage is positive at low to mid-leverage levels and negative at high leverage ratios.
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Do Country or Firm Factors Explain Capital Structure? Evidence from SMEs in France and Greece
TL;DR: In this article, the authors investigate the capital structure determinants of small and medium-sized enterprises (SMEs) using a sample of Greek and French firms and find that the SMEs in both countries exhibit similarities in their capital structure choices, attributed to their institutional characteristics and in particular the commonality of their civil law systems.
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Evaluation of credit risk based on firm performance
TL;DR: Estimating binary and ordered logit regression models find that productive efficiency has significant explanatory power in predicting the likelihood of default over and above the effect of standard financial indicators.