Plenary Lecture

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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