Nitrogen (N) : from science to society. A science communication project

O Azoto (N): da ciência para a sociedade é um projecto de comunicação de ciência que tem por objecNvo consciencializar os jovens para as ameaças que o azoto (N) em excesso traz para a humanidade. Pode ser dividido em duas partes. Uma, de invesNgação, sobre a análise de resultados de uma consulta pública realizada entre professores, usando o método qualitaNvo do focus group, para compreender a sua sensibilidade e propostas de solução para minimizar o excesso de N no ambiente. Os resultados obNdos foram instrumentais para o desenvolvimento da segunda parte. Esta segunda parte é uma proposta de projecto a submeter ao Horizon 2020, no âm-­‐ bito da “Science with and for Society “. Nela se propõe uma abordagem educaNva trans-­‐disciplinar, conseguida através da interacção entre docentes do secundário, e do ensino superior, associação de pais e organizações cívicas não governamentais, com vista à consciencialização dos jovens para as ameaças do N em excesso no meio ambiente, fazendo o enquadramento cien@fico e fornecendo abordagens tecnológi-­‐ cas. A inovação desta proposta baseia-­‐se: (i) no acompanhamento e desenvolvimen-­‐ to profissional dos docentes do secundário, (ii) na moNvação dos estudantes a de-­‐ senvolver o seu próprio estudo e pesquisa com a tutoria dos docentes, da escola e do ensino superior, e (iii) no desenvolvimento de capacidades de comunicação dos jo-­‐ vens para exercer uma cidadania acNva em prol da minimização das ameaças do N.

Predictability of stock market returns: Evidence from Eurozone's banking sectors

This paper analyzes the in-, and out-of sample, predictability of the stock market returns from Eurozone’s banking sectors, arising from bank-specific ratios and macroeconomic variables, using panel estimation techniques. In order to do that, I set an unbalanced panel of 116 banks returns, from April, 1991, to March, 2013, to constitute equal-weighted country-sorted portfolios representative of the Austrian, Belgian, Finish, French, German, Greek, Irish, Italian, Portuguese and Spanish banking sectors. I find that both earnings per share (EPS) and the ratio of total loans to total assets have in-sample predictive power over the portfolios’ monthly returns whereas, regarding the cross-section of annual returns, only EPS retain significant explanatory power. Nevertheless, the sign associated with the impact of EPS is contrarian to the results of past literature. When looking at inter-yearly horizon returns, I document in-sample predictive power arising from the ratios of provisions to net interest income, and non-interest income to net income. Regarding the out-of-sample performance of the proposed models, I find that these would only beat the portfolios’ historical mean on the month following the disclosure of year-end financial statements. Still, the evidence found is not statistically significant. Finally, in a last attempt to find significant evidence of predictability of monthly and annual returns, I use Fama and French 3-Factor and Carhart models to describe the cross-section of returns. Although in-sample the factors can significantly track Eurozone’s banking sectors’ stock market returns, they do not beat the portfolios’ historical mean when forecasting returns.

Optimal choice between even- and uneven-aged forestry: the case of non-industrial private forest owners

An infinite-horizon discrete time model with multiple size-class structures using a transition matrix is built to assess optimal harvesting schedules in the context of Non-Industrial Private Forest (NIPF) owners. Three model specifications accounting for forest income, financial return on an asset and amenity valuations are considered. Numerical simulations suggest uneven-aged forest management where a rational forest owner adapts her or his forest policy by influencing the regeneration of trees or adjusting consumption dynamics depending on subjective time preference and market return rate dynamics on the financial asset. Moreover she or he does not value significantly non-market benefits captured by amenity valuations relatively to forest income.