Entity

Time filter

Source Type

Bucharest, Romania

The Bucharest University of Economic Studies is a public university in Bucharest, Romania. Founded in 1913 as the Academy of High Commercial and Industrial Studies ), it has become one of the largest higher education institutes in both Romania and South-Eastern Europe. Wikipedia.


Cotfas L.-A.,Academy of Economic Studies Bucharest
AIP Conference Proceedings | Year: 2012

The trade of a fixed stock can be regarded as the basic process that measures its momentary price. The stock price is exactly known only at the time of sale when the stock is between traders, that is, only in the case when the owner is unknown. We show that the stock price can be better described by a function indicating at any moment of time the probabilities for the possible values of price if a transaction takes place. This more general description contains partial information on the stock price, but it also contains partial information on the stock owner. By following the analogy with quantum mechanics, we assume that the time evolution of the function describing the stock price can be described by a Schrödinger type equation. © 2012 American Institute of Physics. Source


Cotfas L.-A.,Academy of Economic Studies Bucharest
Physica A: Statistical Mechanics and its Applications | Year: 2013

We present a finite-dimensional version of the quantum model for the stock market proposed in C. Zhang and L. Huang [A quantum model for the stock market, Physica A 389 (2010) 5769]. Our approach is an attempt to make this model consistent with the discrete nature of the stock price and is based on the mathematical formalism used in the case of the quantum systems with finite-dimensional Hilbert space. The rate of return is a discrete variable corresponding to the coordinate in the case of quantum systems, and the operator of the conjugate variable describing the trend of the stock return is defined in terms of the finite Fourier transform. The stock return in equilibrium is described by a finite Gaussian function, and the time evolution of the stock price, directly related to the rate of return, is obtained by numerically solving a Schrödinger type equation. © 2012 Elsevier B.V. All rights reserved. Source


Dragomir V.D.,Academy of Economic Studies Bucharest
Journal of Cleaner Production | Year: 2012

The European body of research on corporate environmental performance has not yet reached maturity. That is mainly due to the limited access researchers have to raw environmental performance data, in conjunction with an often sterile approach to developing proxies and indicators for this type of corporate performance. Moreover, annual sustainability reports are often neglected in spite of their capacity to produce a compelling longitudinal research perspective. The present article offers a critical reading of the last decade's sustainability reports from the top five largest European oil and gas companies. On account of their significant contribution to global warming, the sample companies (i.e. BP, Total, Shell, BG Group and Eni) have been scrutinized for their ability to provide high-quality environmental disclosures at group-level. Given the sophistication of emissions data collection and estimation tools such as the Greenhouse Gas (GHG) Protocol, it comes as a surprise that these five industry leaders have issued reports containing unexplained figures and methodological inconsistencies. Finally, the reader is persuaded that empirical research in the field of corporate environmental performance should mostly be about creating a context for discussing a firm's commitment to sustainability, rather than modelling irrelevant cross-sectional data to find similarities between incomparable cases. © 2012 Elsevier Ltd. All rights reserved. Source


Georgescu I.,Academy of Economic Studies Bucharest
Soft Computing | Year: 2011

In this paper a possibilistic model of risk aversion based on the lower and upper possibilistic expected values of a fuzzy number is studied. Three notions of possibilistic risk premium are defined for which calculation formulae in terms of Arrow-Pratt index and a possibilistic variance are established. A possibilistic version of Pratt theorem is proved. © 2010 Springer-Verlag. Source


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: YOUNG-2-2014 | Award Amount: 2.50M | Year: 2015

The overall ambition of MOVE is to provide a research-informed contribution towards an improvement of the conditions of the mobility of young people in Europe and a reduction of the negative impacts of mobility through the identification of ways of good practice thus fostering sustainable development and wellbeing. The consortium of MOVE is built up of nine partners within six countries: Luxembourg, Germany, Hungary, Norway, Romania and Spain. The main research question is: How can the mobility of young people be good both for socio-economic development and for individual development of young people, and what are the factors that foster/hinder such beneficial mobility? Based on an interdisciplinary and multilevel research approach the main objectives of MOVE are to: [1] carry out a comprehensive analysis of the phenomenon of mobility of young people in the EU; [2] generate systematic data about young peoples mobility patterns in Europe based on qualitative case studies, a mobility survey and on secondary data analysis; [3] provide a quantitative integrated database on European youth mobility; [4] offer a data based theoretical framework in which mobility can be reflected, thus contributing to the scientific and political debates. [5] explore factors that foster and factors that hinder good practice based on an integrative approach with qualitative and quantitative evidence. [6] provide evidence-based knowledge and recommendations for policy makers through the development of good-practice models. MOVE is based on a multilevel research design, including case studies on six types of mobility (higher education, voluntary work, employment, vocational training, pupils exchange and entrepreneurship), a survey (N=6400) and secondary data analysis, taking into consideration social inequality (e.g. migration background, gender, educational inequalities, impairments). The focus will be on the regional contexts of mobility and the agency of young people.

Discover hidden collaborations