2011 Articles

 



 




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ECECSR Journal

Archive Page

 


 

We are delighted to welcome you to the
Journal of ECONOMIC COMPUTATION AND ECONOMIC
CYBERNETICS STUDIES AND RESEARCH
2011 Archive Page.

VERGIL VOINEAGU, MIHAI SACALA, STEFAN SACALA Technical Analysis and Econometric Prediction Using Wave  Refraction Method

                                               

VASILE GEORGESCU An Econometric Insight into Predicting Bucharest Stock Exchange Mean-Return and Volatility – Return Processes

 

MARIA  PAZIENZA, ION LUNGU, ALEXANDRA TUDORACHE Flames Recognition for Opinion Mining

 

ION PURCARU Diversity and Solving a Three – Dimensional Allocation Problem

 

NICHOLAS M. ODHIAMBO Tourism Development and Economic Growth in Tanzania: Empirical Evidence from the ARDL-Bounds Testing Approach

 

ANGELA GALUPA, CRISAN ALBU, CARMEN HARTULARI Experimental Results Concerning the Risk of Pollution in Air Using Data Warehouses

 

ANA MARIA IORDACHE, LILIANA SPIRCU Using Neural Networks in Ratings

 

FAIK BİLGİLİ, YALÇIN PAMUK, SEVIL HALICI TÜLÜCE Short Run and Long Run Dynamics of Residential Electricity  Consumption: Homogeneous and Heterogeneous Panel Estimations for OECD

 

T. ANDREI, A. I.  IACOB, A.  PROFIROIU, F. DĂNĂNĂU Some Comments Concerning Informal Economy, Unemployment  and  Inflation Rates – Romania’s Case

 

SONGUL K.  ACARAVCI, ALI  ACARAVCI, ILHAN OZTURK Stock Returns and Inflation Nexus in Turkey: Evidence from ARDL Bounds Testing Approach

 

 

COSMIN IULIU SERBANESCU, DANIEL TRAIAN PELE A Quantitative Approach for the Financial Improvement of Private Pensions Systems. Romanian and Polish Perspective

 

YIM HYUNG ROK Competition and Its Virtue to New Startups under the Potential Threat of Entry

 

COSTIN CIPRIAN POPESCU Mathematical Programming for Optimal Decision Making

 

IULIA MARIES, DIANA DEZSI A Genetic Algorithm for Community Formation in Multi – Agent Systems

 

ALEXANDRU LEONTE Assessing Fiscal Sustainability Using Cointegration for a Group of Euro Area Candidates

 

LAURA  MARIA BADEA Using Neural Networks in Estimating Default  Probability – A Case  Study on Retail Lending