18 resultados

Donnée de Panel Financial Sector

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  • Dataset

    Por Department of Research and Chief Economist (VPS/RES/RES)
    This dataset was created to support 2014 DIA - Rethinking Productive Development: Sound Policies and Institutions for Economic Transformation.
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  • Dataset

    Por Innovation in Citizen Services Division (VPS/IFD/ICS)
    The Public Management Evaluation Tool (PET) evaluates five “pillars” of the public policies' management cycle that are considered important for the implementation of Management for Development Results (MfDR): (i) results-based planning, (ii) results-based budgeting, (iii) public financial management (including auditing and procurement), (iv) program and project management (including the public investment system), and (v) monitoring and evaluation of public management. These pillars are broken down into components that track the maturity of institutional systems. The components are in turn composed of indicators and minimum requirements that these systems must have in an MfDR environment. All of these measures (minimum requirements, indicators, components, and pillars) are scored on a scale from 0 to 5, where a 5 indicates an ideal institutional situation.
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  • Dataset

    Por Connectivity, Markets and Finance Division (VPS/IFD/CMF)
    This broad and novel database of 52 countries over 2001–11, allowed a study that assesses the link between financial intermediation and saving. The study finds that the Latin American and Caribbean (LAC) region lags well behind other regions in terms of financial depth, as measured by gross private domestic financial assets. LAC countries also have a larger share of bank deposits and cash in the private sector portfolio, compared to non-bank assets (bonds and shares). Moreover, within the institutional investor industry, pension funds are relatively developed in the region, although they grew out of the compulsory pension systems in several countries that date back to the 1980s and 1990s. The findings also indicate that LAC countries have about 40 percent of gross private financial wealth invested abroad, but just 4 percent of gross private liabilities have that origin, which attests to region’s obstacles in tapping international markets. The countries in general present a small...
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  • Dataset

    Por Department of Research and Chief Economist (VPS/RES/RES)
    This is the data used for the estimation of the GVAR model as in "China's Emergence in the World Economy and Business Cycles in Latin America" (access the study in the related URL Section). The dataset includes quarterly data for twenty-five major advanced and emerging economies plus the euro area, covering more than 90 percent of world GDP. The variables included in the dataset are real GDP, CPI inflation, real equity prices, real exchange rates, short-term and long-term interest rates, and the price of oil. Updates of this dataset -together with the baseline GVAR code- can be found in the Related URL section below. Years covered: 1979 - 2009.
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  • Dataset

    Por Connectivity, Markets and Finance Division (VPS/IFD/CMF)
    This database compiles current standardized statistics on sovereign debt issuances for the Latin American and Caribbean (LAC) region and contains biannual data starting in 2006 through June 2023. Sovereign debt data is classified by legislation, creditor, currency, and maturity, among other areas, for 26 LAC countries. The availability of valid, comparable, and standardized public debt data is essential for the implementation of sound policies. As such, at the core of the LAC Debt Group initiative is the development of a standardized sovereign debt database to help debt managers, policymakers, and other actors of financial markets analyze the evolution and composition of public debt in the region and conduct cross-country comparisons. LAC public debt offices provided the data in response to a questionnaire specifically designed to allow comparability. The questionnaire, whose response is non-compulsory, is intended to compile current standardized statistics for objective and...
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