Plenary
Lecture
Innovative methods for improving portfolio management
based on artificial intelligence instruments
Professor Gabriela Prelipcean
University "Stefan cel Mare" of Suceava
Romania
E-mail:
gprelipcean@yahoo.com
Abstract: Financial markets represent one of the
most complex environments for business and there are a
lot of types of external factors which impact their
dynamics. The recent financial turbulence materialized
by the global financial crisis 2008-2009 and the
European sovereign debt crisis (2010-2012) made serious
pressure on financial markets that proved their
fragility and sensitivity in a different manner.
The use of different instruments used on artificial
intelligence could be applied in decision making process
in financial markets because they offer a unique
capability of learning.
The conventional theories regarding the anticipation of
financial markets evolution are represented by the
efficient market hypothesis (Fama, 1970) and the
paradigm regarding the methods to anticipate the future
performance of financial assets. The actual interest is
to identify optimal strategies for portfolio management
by using artificial intelligence.
The basic steps of incorporating different types of
artificial intelligences on the study of the future
dynamic of the performance of different financial assets
are the following: the analysis of the strategies used
by different portfolio managers and their performances;
the identification of new instruments capable to improve
the strategy references; the selection/ development and
testing of the new instrument; the analysis of the
differential performance.
Actual artificial intelligence instruments are difficult
to create/develop and to use because in this paper will
be presented a new concept in which the basis will be
the application data transformation in order to build
different sets of training artificial neuronal networks
in order to optimize/modify in an easy way their
behavior. This module for simulating the artificial
neuronal network is improved by using genetic algorithms
to select the best network regarding the predictions of
the performance of financial instruments, but also the
optimal timing in the process of portfolio management.
Brief Biography of the Speaker:
Gabriela Prelipcean graduated in Economic Cybernetics at
the Academy of Economic Studies (1988). Ph.D. in
Economics awarded by the Academy of Economic Studies,
Bucharest. She is Professor and PhD coordinator in
Economics at “Stefan cel Mare” University of Suceava.
Her research and teaching covered an extended area of
Economics and Business, Cybernetics and
interdisciplinary domain as Economics of Disasters,
Extreme Risk Events (natural disasters and terrorism),
and Economics of Migration. Fellowships awarded and
academic programs: NEC Fellowships, financed by the New
Europe College (NEC), Institute for Advanced Study,
Bucharest, 2008-2009; Fulbright Postdoctoral Fellowship,
Elizabethtown College, PA, USA, Extreme Events Risk
Management, 2006-2007; Research grant at University of
Bologna, Italy, 2001; Visiting professor and researcher
at Institute for the Study of Labor, Bonn, 2009;
Visiting Professor, University of Bologna, Italy, 2005;
University of Applied Sciences BFl Vienna, Austria,
2004; University of Bari, University of Modena, Italy,
University of Torino. Participation at Conferences and
Symposia in the Economics and Business fields in
Romania, USA, France, Germany, United Kingdom, Italy,
Denmark, Greece, Czech Republic, Austria, China,
Ukraine, Moldova. Author and co-author over 10 books,
over 60 papers published in professional journals and
conference proceedings in Romania and abroad and a
frequent reviewer for international and national
conferences and journals and research institutions and
foundations. I have received many research grants and
awards as director. One large-scale project was funded
by the European Union. 10 grants and research projects
were funded by Romanian sources (CNMP, ANCS,
CNCSIS_Consortiu, IER, CEEX, Security Program etc). The
main focus is on: Assessing, Managing, and Financing
Extreme Events; Crisis Management in Natural Disasters
and Terrorism; Financial and Currency Crisis, Economic
Crisis, Migration Policies and Remittances;
Econometrics. Professional affiliations: Business
Excellence (2010-); SAMRO (2010-); Academy of Management
(2007-); Romanian Management Society (2007-); European
Association of Regional Sciences (2004-); Romanian
Association of Regional Sciences (2001-); Romanian
Statistics Society (2000-); Romanian General Economists’
Associations - AGER (1992-).
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