Comovements among asset prices have received a lot of attention for several reasons. For example, comovements are important in cross-hedging and cross-speculation; they determine capital allocation both domestically and in international mean-variance portfolios and also, they are useful in...

Cover -- Occhiello -- Dedica -- Indice -- Prefazione -- Capitolo 1 - Rendite -- Capitolo 2 - Ammortamenti -- Capitolo 3 - Prestiti obbligazionari -- Capitolo 4 - Scelte fra progetti alternativi certi -- Bibliografia -- Finito di stampare

Recent advances in natural language processing have contributed to the development of market sentiment measures through text content analysis in news providers and social media. The effectiveness of these sentiment variables depends on the implemented techniques and the type of source on which...

This paper proposes a simple procedure, in order to aggregate a nite number of real nonnegative values into a unique indicator. Possible applications of this tool can be found in social sciences, including demography, sociology, etc. In particular, the indicator may represent a generalized mean,...

In this work we analyze and implement different Reinforcement Learning (RL) algorithms in financial trading system applications. RL-based algorithms applied to financial systems aim to find an optimal policy, that is an optimal mapping between the variables describing the state of the system and...

Several empirical studies have shown the inadequacy of the standard Brownian motion (sBm) as a model of asset returns. To correct for this evidence some authors have conjectured that asset returns may be independently and identically Pareto-Lévy stable (PLs) distributed, whereas others have...

In this work we use a MultiCriteria Decision Analysis (MCDA) model to evaluate the creditworthiness of a sample of Italian Small and Medium-sized Enterprises (SMEs), on the basis of their balance sheet data provided by the AIDA database. Our methodology is able to consider simultaneously...