Examples of using Macroeconomic variables in English and their translations into Slovak
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CORTAX-study(macroeconomic variables).
Output gap estimatesinclude as a crucial input forecasts of all relevant macroeconomic variables.
At that point, it is not possible tomake a precise forecast of how the main macroeconomic variables, such as growth in gross domestic product, exchange rates or consumer confidence.
The development of the exchange rates takes into account andis in the long term affected by a number of macroeconomic variables.
This increase in supply anddemand will have direct effects on the main macroeconomic variables in each Member State and in the EU as a whole.
The estimation of the structural balance is conceptually affected by thesame uncertainty that surrounds the forecast of other macroeconomic variables.
Instead, a result for each portfoliotype for each country is generated based on the macroeconomic variables in the baseline and adverse scenarios, and only this outcome is communicated to the banks.
The spreadsheets used for macroeconomic projections provided clear and detailed information on historical data andprojections for the range of macroeconomic variables.
The socioeconomic area will include the investigation of real convergence,that is GDP per capita and other macroeconomic variables, as well as access to a broad set of services and to social protection.
The benchmarks should consist of a coefficient or set of coefficients for each risk parameter(PD, LGD, etc.)which measure the responsiveness of each risk to the individual macroeconomic variables.
This master thesisdeals with the analyses of shocks of given significant macroeconomic variables and their reply on changes of households' and firms' defaulted, non performing loans in Slovakian banking sector.
The discrepancy between the projected deficit and the out-turn is largely attributable to the revisions of the GDP forecast andother key macroeconomic variables that impact on the general government budget.
The EBA stress test is a scenario analysis,where macroeconomic variables are stressed according to a risk narrative(input) and bank specific variables(output) under stress are then estimated by banks, in line with the common methodology.
Further, the analysis shows the impact of electoral cycle and macroeconomic variables on budget deviations.
Sims's awarded research instead focuses on distinguishing between unexpected changes in variables, such as the price of oil or the interest rate, and expected changes,in order to trace their effects on important macroeconomic variables.
Important part of the stress tests is the application of Monte Carlo method whichsimulates high number of stress scenarios and macroeconomic variables' shocks and therefore helps to improve the description of the ΔNPL indicator behavior.
These models are also applied to evaluate the effects of changes in economic policy regimes which may give rise toinstability in historically observed relations among key macroeconomic variables.
Moreover, progress towards meeting both the headline targets of the Europe 2020 Strategy andother key macroeconomic variables should be published, based on appropriate indicators closely linked to the achievement of the final targets.
Also, there is no available model to assess the proposed mitigating effects from the design of the proposal(e.g. exclusion of primary markets, excluding most transactions that do not involve at least one financial institution, etc.)and the channels through which they impact macroeconomic variables.
Based on macroeconomic growth models, Cedefop has estimated the potential impact of higher level of skills on GDP growth per capita, using observed market data(GDP/GDP per capita)and other relevant macroeconomic variables from the European Commission's AMECO database and the Total Economy database of the Conference Board.
These models are often described as« structural» because they aim to capture the key causal determinants of economic decisions on consumption, investment, etc. The models are validated empirically, or« estimated»,by matching their implications for some macroeconomic variables with observed past outcomes.
A key element in the economic analysis is theconduct of regular exercises projecting the main macroeconomic variables in the euro area( see Box 1).
US researchers Thomas Sargent and Christopher Sims won the Economics Prize for research on the causal relationship between economic policy anddifferent macroeconomic variables, such as GDP, inflation, employment and investments.
Moreover, the feasibility of the application of pooled OLS regression method was proven after the modification of the data and achievement of their homogeneity in order toobtain regression coefficients of significant macroeconomic variables' influence on non performing loans for both sectors of firms and households.
In 2011, US economists Thomas J Sargent and Christopher A Sims shared the economics prize formethods to study the relationship between economic policy and macroeconomic variables such as gross domestic product, inflation, employment and investments.
It would have been appropriate to make a reference, on the basis of past experience and more recent experience in the 12 new Member States, to the effective spending power demonstrated by individual territories andon the measurable impact of the use of Community resources on the main macroeconomic variables(growth in income and investment, increase in employment, falling inflation).