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البوسنة والهرسك

  • High Representative:Valentin Inzko
  • رئيس الوزراء:Denis Zvizdić
  • العاصمة:Sarajevo
  • اللغات:Bosnian (official) 52.9%, Serbian (official) 30.8%, Croatian (official) 14.6%, other 1.6%, no answer 0.2% (2013 est.)
  • الحكومة
  • مكتب الإحصائيات القومي
  • السكان والأشخاص:3,323,929 (2018)
  • المساحة ، كم مربع:51,200
  • الناتج المحلي الإجمالي للفرد ، بالدولار الأمريكي:5,951 (2018)
  • الناتج المحلي الإجمالي ، مليار دولار أمريكي حالي:19.8 (2018)
  • مؤشر GINI:No data
  • تصنيف سهولة ممارسة الأعمال:89

Financials

All datasets:  C F R W
  • C
    • تشرين الأول 2019
      المصدر: Bank for International Settlements
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Below Parameters are common for all combinations : Frequency - Quarterly Measure -Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors Data cited at : https://www.bis.org/statistics/index.htm
    • كانون الثاني 2019
      المصدر: NYU Stern
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 شباط, 2019
      تحديد مجموعة بيانات
      Citation: Damodaran, Aswath, Equity Risk Premiums (ERP): Determinants, Estimation and Implications – The 2016 Edition (March 5, 2016). Available at SSRN: https://ssrn.com/abstract=2742186 or http://dx.doi.org/10.2139/ssrn.2742186   This dataset summarizes the latest bond ratings and appropriate default spreads for different countries. While you can use these numbers as rough estimates of country risk premiums, you may want to modify the premia to reflect the additional risk of equity markets. To estimate the long term country equity risk premium, I start with a default spread, which I obtain in one of two ways: (1) I use the local currency sovereign rating (from Moody's: www.moodys.com) and estimate the default spread for that rating (based upon traded country bonds) over a default free government bond rate. For countries without a Moody's rating but with an S&P rating, I use the Moody's equivalent of the S&P rating. To get the default spreads by sovereign rating, I use the CDS spreads and compute the average CDS spread by rating. Using that number as a basis, I extrapolate for those ratings for which I have no CDS spreads. (2) I start with the CDS spread for the country, if one is available and subtract out the US CDS spread, since my mature market premium is derived from the US market. That difference becomes the country spread. For the few countries that have CDS spreads that are lower than the US, I will get a negative number. You can add just this default spread to the mature market premium to arrive at the total equity risk premium. I add an additional step. In the short term especially, the equity country risk premium is likely to be greater than the country's default spread. You can estimate an adjusted country risk premium by multiplying the default spread by the relative equity market volatility for that market (Std dev in country equity market/Std dev in country bond). I have used the emerging market average of 1.12 (estimated by comparing a emerging market equity index to an emerging market government/public bond index) to estimate country risk premium.I have added this to my estimated risk premium of 5.08% for mature markets (obtained by looking at the implied premium for the S&P 500) to get the total risk premium. Notes:  The year of publication has been considered as per publication date. For example, data published on 2018-Jan considered as 2018, similarly 2019-Jan as 2019    
  • F
    • تشرين الأول 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with aim of supporting analysis and assessing strengths and vulnerabilities of financial systems. The Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the concepts and definitions document in the document tab. Reporting countries compile FSI data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata to conduct more meaning cross-country comparisons or to assess the evolution of a given FSI for any of the countries.
    • آب 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 آب, 2019
      تحديد مجموعة بيانات
      The Reporting entities dataset provides information on the structure, size, and coverage of the financial institutions that are used for compiling financial soundness indicators. It provides a better understanding of the structure of the reporting entities in terms of the type of institution, number of entities, size of assets, and type of control. Reporting entities are domestically incorporated entities but are divided into two: domestically controlled and foreign controlled. The concepts of residency criterion and control are determined based on FSI Guide methodology which is in line with international best practices such as Systems of National Accounts. Data on reporting entities cover the branches, subsidiaries and the value of asset for both domestically and foreign controlled entities resident in the reporting country together their resident and non-resident subsidiaries.
  • R
    • كانون الثاني 2018
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 شباط, 2018
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Remittance Prices Worldwide Publication: https://datacatalog.worldbank.org/dataset/remittance-prices-worldwide License: http://creativecommons.org/licenses/by/4.0/   Provides data on the cost of sending and receiving relatively small amounts of money from one country to another. Data cover 365 "country corridors" worldwide, from 48 remittance sending countries to 105 receiving countries.
  • W
    • تشرين الأول 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates

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