Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 3

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  C12
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1

What Explains the Size of Sovereign Wealth Funds?

100%
Ficova A., Sipko J.
Creative and Knowledge Society
|
2014
|
vol. 4
|
issue 1
EN
Reasons for the rapid appearance and growth of SWFs is contributed by increase in oil prices and the accumulation of large balance-of-payments surpluses. Purpose of the article is to investigate size of observed Sovereign Wealth Funds in 2013. Moreover, to describe what explain differences in the size of SWFs, on the other hand what determines the amount of foreign exchange reserves. Is the size of observed funds closely related to rate of growth of the countries? Is return of observed funds is closely related to fund value bn USD, GDP growth (annual %) and inflation rate of the country? Methodology/methods deployed in this paper has been done illustrations by using available data from official websites of funds, Sovereign Wealth Fund Institute, International Monetary Fund, CIA The World Factbook and author’s calculations due the fact that most of funds do not provide data to the public. In addition to this, we present the estimations by using regression analysis, transferring observed data using the least squares method, The two-sample t-test for mean value, ANOVA, TINV. Scientific aim is to examine whether AUM of SWFs, moreover the size of 14 observed funds is closely related to rate of growth of the countries at 90 percent of probability. Second, if return of 14 observed funds is closely related to fund value bn USD, GDP growth (annual %) and inflation rate of the country at 95 percent of probability. Third, if there are significant differences between return in 2010 and 2013. Findings indicates that paper came to the conclusion that the return of 14 observed funds is closely related to fund value bn USD, GDP growth (annual %) and inflation rate of the country at 95 percent of probability. Furthermore, there are significant differences between return in 2010 and 2013. Conclusions (limits, implications etc) pointed out that the influence of SWFs has become undeniable, with total assets topping 6,585tn USD in June 2014, these investors have reached a size comparable to that of the entire alternative assets industry.
2

Is the Labour Force Participation Rate Non-Stationary in Romania?

84%
Tiwari A. K., Mutascu M.
Review of Economic Perspectives
|
2014
|
vol. 14
|
issue 4
411-426
EN
The purpose of this paper is to test hysteresis of the Romanian labour force participation rate, by using time series data, with quarterly frequency, covering the period 1999Q1-2013Q4. The main results reveal that the Romanian labour force participation rate is a nonlinear process and has a partial unit root (i.e. it is stationary in the first regime and non-stationary in the second one), the main breaking point being registered around year 2005. In this context, the value of using unemployment rate as an indicator for capturing joblessness in this country is debatable. Starting from 2005, the participation rate has not followed long-term changes in unemployment rate, the disturbances having permanent effects on labour force participation rate.
3

Application of Generalized Student’s T-Distribution In Modeling The Distribution of Empirical Return Rates on Selected Stock Exchange Indexes

84%
Purczyńskiz J., Bednarz-Okrzyńska K.
Folia Oeconomica Stetinensia
|
2014
|
vol. 13
|
issue 2
37-48
EN
This paper examines the application of the so called generalized Student’s t-distribution in modeling the distribution of empirical return rates on selected Warsaw stock exchange indexes. It deals with distribution parameters by means of the method of logarithmic moments, the maximum likelihood method and the method of moments. Generalized Student’s t-distribution ensures better fitting to empirical data than the classical Student’s t-distribution.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.