Persona:
Segovia San Juan, Ana Isabel

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ORCID
0000-0001-5867-6490
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Segovia San Juan
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Ana Isabel
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20222
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search.filters.applied.f.itemDepartamento: Economía de la Empresa y Contabilidad × Fecha de inicio: 2022 × Fecha de finalización: 2022 ×

Resultados de la búsqueda

Mostrando 1 - 2 de 2
  • Miniatura
    Publicación
    Causes of country-specific effect related to the value relevance of cash flows and earnings: evidence from France, Germany, Italy and Spain
    (Taylor & Francis, 2022-09) González Sánchez, Mariano; Ibáñez Jiménez, Eva María; Segovia San Juan, Ana Isabel
    Previous studies show that, in common-law countries, the explanatory power of stock returns is higher using cash flows than earnings and accruals, while the opposite is true in code-law countries. Moreover, the literature has shown the existence of a country-specific effect motivated by different causes (taxation, financial system, creditor protection, among others). Our aim is to analyze whether this country-specific effect exists among companies in the largest Eurozone countries (France, Germany, Italy and Spain) despite the common regulatory framework, and also to study the causes that explain this country effect. We find empirical evidence that French, Italian and Spanish firms are influenced by tax rules, while German companies are more affected by creditors protection; also, Spain presents a bank-oriented financial system. Besides, the transitory earnings effect, characteristic of code-law countries, is not a cause of the country-specific effect. Therefore, national regulations are more relevant than the general EU regulatory framework.
  • Miniatura
    Publicación
    Market and model risks: a feasible joint estimate methodology
    (Springer Link, 2022-03-01) González Sánchez, Mariano; Ibáñez Jiménez, Eva María; Segovia San Juan, Ana Isabel
    The increasing complexity of stochastic models used to describe the behavior of asset returns along with the practical difficulty of defining suitable hedging strategies are relevant factors that compromise the soundness and quality of risk measurement models. In this paper we define the risk model as the mispricing a consequence of using an inadequate model to describe asset behavior and we develop a least-squares Monte Carlo methodology to estimate market and model risk simultaneously. The results show that at different confidence levels and time horizons the proposed methodology to estimate the market and model risks has a greater joint explanatory power than the isolated estimate of market risk.