Financial Crisis from the Trust and Loss Aversion Perspective in Emerging Romanian Capital Market

In this paper we synthesized a study of financial crisis from the trust and loss aversion perspective on a particular case, Romanian emerging capital market. In a relative recent study we stopped with our data series at the level of 2008, November, but in this paper we continue our research until 2009, December. In a world-wide financial crisis and a global financial depreciation of stocks the emergent markets are much more affected that the lack of money and investors aversion. We study, based on efficient market theory, the evolution of portfolio structure in balanced funds. We are interesting to make an evaluation of present sentiment of investing money in capital markets and especially in stocks. Also, is necessary to determine which are the most important problems in this situation and seek an adequate stimulus for future development of direct investment

Renewable Energy Sources in Romania: A Statistical Approach

Biodiversity is in decline globally and major ecosystems are placed under increasing pressure. Global poverty persists; the Millennium Development Goals would need major efforts to be achieved. This paper will explore the perspective for a new energy sector economy in relation to climate change and the sustainable development objectives. All renewable energy technologies are not appropriate to all applications or locations, however. This paper identifies some of the key environmental and economic benefits associated with renewable technologies. It is also analyzed in a comparative manner the current situation of energy from renewable sources in Romania and the EU Member States

Bringing New Opportunities to Develop Statistical Software and Data Analysis Tools in Romania

In the last decade, open source programming technology is widely used among statisticians for developing a new statistical software and data analysis. This is R software environment and the main objective of this paper is to underline the importance of R for statistical computations, data analysis, visualization and applications in various fields. Regarding to this, the paper is primarily intended for people already familiar with common statistical concepts. Thus the statistical methods used to illustrate the R performance are not explained in detail. The main intention is to offer an overview to get started, to motivate beginners by illustrating the flexibility of R, and to show how simply it enables the user to carry out statistical computations

Bringing New Opportunities to Develop Statistical Software and Data Analysis Tools in Romania

In the last decade, open source programming technology is widely used among statisticians for developing a new statistical software and data analysis. This is R software environment and the main objective of this paper is to underline the importance of R for statistical computations, data analysis, visualization and applications in various fields. Regarding to this, the paper is primarily intended for people already familiar with common statistical concepts. Thus the statistical methods used to illustrate the R performance are not explained in detail. The main intention is to offer an overview to get started, to motivate beginners by illustrating the flexibility of R, and to show how simply it enables the user to carry out statistical computations

RR by R in Official Statistics

Nowadays there is a growing alarm about scientific research results that cannot be reproduced. The reasons comprise increased levels of control, complexity of experiments and statistics, and also time pressures on researchers. Journals, scientists and research institutions all have a part in promoting reproducibility. On the other side, the progress in computational science has barriers because the researchers do not have the ability to independently reproduce or verify published results. The reproducible research using R in official statistics is one of the objectives that the Romanian Institute of Statistics takes into account to achieve in the near future. The first step is to implement the idea according to “publications produced in official statistics should be accompanied by the relevant information and data to reproduce the results and findings”

Financial Crisis from the Trust and Loss Aversion Perspective in Emerging Romanian Capital Market

In this paper we synthesized a study of financial crisis from the trust and loss aversion perspective on a particular case, Romanian emerging capital market. In a relative recent study we stopped with our data series at the level of 2008, November, but in this paper we continue our research until 2009, December. In a world-wide financial crisis and a global financial depreciation of stocks the emergent markets are much more affected that the lack of money and investors aversion. We study, based on efficient market theory, the evolution of portfolio structure in balanced funds. We are interesting to make an evaluation of present sentiment of investing money in capital markets and especially in stocks. Also, is necessary to determine which are the most important problems in this situation and seek an adequate stimulus for future development of direct investment.market capitalization; portfolio structure; balanced funds; loss aversion.

VECTOR AUTOREGRESSIVE MODELS USING “R”

Multivariate data analysis in the context of autoregressive models has evolved as a standard instrument in econometrics. In present, there are developed packages available in R for estimating time series models; one of the most useful package is vars (Pfaff, 2008) containing functions for diagnostic testing, estimation of a restricted models, prediction, causality analysis, impulse response analysis and forecast error variance decomposition. Using the examples provided in the vars vignette, the authors tried to obtain results for the different methods and functions on the base of macroeconomic data set for Romania

Modelling the potential human capital on the labor market using logistic regression in R

This paper exposes the methodology of creating the profile of two categories of potential human capital using logistic regression in R. The profiles were created based on some social and economic characteristics provided by the 2015 Labour Force Survey, assuring the representativeness of results at national and regional level. In this sense, the logistic regression was used to model the relationship between economically inactive persons who are seeking for a job, but are not immediately available to start working, respectively economically inactive persons who are not seeking for a job, but are immediately available to start working, and some socio-economic predictors. The aim is to identify the impediments which determine inactive people not to become active on the labour market

R - evolution in Time Series Analysis Software Applied on R - omanian Capital Market

Worldwide and during the last decade, R has developed in a balanced way and nowadays it represents the most powerful tool for computational statistics, data science and visualization. Millions of data scientists use R to face their most challenging problems in topics ranging from economics to engineering and genetics. In this study, R was used to compute data on stock market prices in order to build trading models and to estimate the evolution of the quantitative financial market. These models were already applied on the international capital markets. In Romania, the quantitative modeling of capital market is available only for clients of trading brokers because the time series data are collected for the commercial purpose; in that circumstance, the statistical computing tools meet the inertia to change. This paper aims to expose a small part of the capability of R to use mix-and-match models and cutting-edge methods in statistics and quantitative modeling in order to build an alternative way to analyze capital market in Romania over the commercial threshold

Physiological alteration and anaesthetic drugs effects on intraoperative neurophysiological monitoring procedures

Intraoperative neurophysiological monitoring (IOM) and especially motor evoked potentials represents an important tool in the evaluation of the nervous system integrity and particularly of the motor tracts. A real and correct registration of the potentials with a proper interpretation of the modification is mandatory for an optimal outcome in eloquent areas, tumours, brainstem and medullary lesions. For all this to happen a suitable anaesthetic protocol must be used. Even though there is a large spectrum of anaesthetic agents at our disposal it is imperative to know their effect on the IOM signals recordings and the fact that some of them are dose-dependent. Drugs effects and physiological changes produced intraoperatively must be corrected before a shift in the direction of the surgical lesion resection it is taken. We present an overview of the action of the anaesthetic agents, most used protocols and the physiological alteration encountered in the operative theatre