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意大利

  • 总统:Sergio Mattarella
  • 首相:Giuseppe Conte
  • 首都:Rome
  • 语言:Italian (official), German (parts of Trentino-Alto Adige region are predominantly German speaking), French (small French-speaking minority in Valle d'Aosta region), Slovene (Slovene-speaking minority in the Trieste-Gorizia area)
  • 政府
  • 国家统计局
  • 人口,人口:60,431,283 (2018)
  • 面积,平方公里:294,140
  • 人均国内生产总值,美元:34,318 (2018)
  • GDP,目前美元十亿美元:2,073.9 (2018)
  • 基尼系数:No data
  • 经商容易度排名:51

Assets

所有数据集:  B C F G I N R T
  • B
  • C
    • 七月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 05 七月, 2019
      选择数据集
      Consolidated banking data (CBD) contain information on the aggregate consolidated profitability, balance sheets, asset quality, liquidity and solvency of EU banks, and refer to all EU Member States. CBD are a key component of the ECB/ESCB (European System of central Banks) statistical toolbox for financial stability analysis and are also one of the main inputs to the statistical support provided by the ECB to the European Systemic Risk Board (ESRB). Two indicators retrieved from CBD have been added to the set of MIP auxiliary indicators starting from the 2019 exercise. The MIP auxiliary indicators retrieved from CBD are:   Gross non-performing loans of domestic and foreign entities as percentage of gross loans, annual data (tipsbd10) A loan, other than held for trading, is considered as non-performing if satisfies either or both of the following criteria: (a) It is a material loan which is more than 90 days past-due; (b) The debtor is assessed as unlikely to pay its credit obligations in full without realisation of collateral, regardless of the existence of any past-due amount or of the number of days past-due. Non-performing loans include defaulted and impaired loans and since end-2014 have followed the harmonised definition of the European Banking Authority (EBA) used for supervisory reporting. The MIP indicator is defined as total gross non-performing loans and advances as % of total gross loans and advances (gross carrying amount), for the reporting sector "domestic banking groups and stand-alone banks, foreign controlled subsidiaries and foreign controlled branches, all institutions". The indicator is consistent with the macro-financial focus of MIP surveillance and provides complementary information to assess private debt, which features among the variables in the headline scoreboard.   Consolidated banking leverage, annual data (tipsbp20). The indicator, covering the banking sector only, is defined as total assets divided by total equity, for the reporting sector "domestic banking groups and stand-alone banks, foreign controlled subsidiaries and foreign controlled branches, all institutions, full sample (all banking groups / stand-alone banks irrespective of their accounting / supervisory framework)". Data on domestically controlled banks are consolidated across borders and sectors at the prudential perimeter of consolidation. The leverage indicator based on the CBD data, is used to complement the reading of the scoreboard: it has clear economic interpretation, is comparable across countries, and is consistently based on book values.   For both indicators, data on domestically controlled banks are consolidated across borders and sectors at the prudential perimeter of consolidation.
  • F
    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 02 七月, 2019
      选择数据集
      National Accounts - Volume IIIb - Financial Balance Sheets - Stocks, which record the stocks of financial assets and liabilities by institutional sectors, at the end of the accounting period, and are presented in two tables: Balance sheets for financial assets and liabilities, consolidated and Balance sheets for financial assets and liabilities, non consolidated.
    • 八月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 06 八月, 2019
      选择数据集
      Data are compiled either by Central banks, or Statistical National Institutes. EU data are validated and provided by the European Central Bank whereas non-EU data are provided by national institutions. The sectors for which information is presented are: Total economy (S1) - Non-financial corporations (S11) - Financial corporations (S12) and its sub-sectors (S121 to S125) - General government (S13) and its sub-sectors (1311 to S1314) - Households (S14) - Non-profit institutions serving households (S15) Rest of the world (S2)
    • 六月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 04 六月, 2019
      选择数据集
      National Accounts - Volume IIIa - Financial Accounts - Flows, which record, by type of financial instruments, the financial transactions between institutional sectors, and are presented in two tables: Financial accounts, consolidated and Financial accounts, non-consolidated.
    • 六月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 18 六月, 2019
      选择数据集
      The Financial account, which is the second accumulation account, records financial flows: it indicates the types of financial instruments utilized by the different institutional sectors to acquire financial assets or incur liabilities. Data are compiled either by Central banks, or Statistical National Institutes. EU data are validated and provided by the European Central Bank whereas non-EU data are provided by national institutions.
  • G
    • 四月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 10 四月, 2019
      选择数据集
      Vulnerabilities in a Maturing Credit Cycle: The April 2019 Global Financial Stability Report (GFSR) finds that despite significant variability over the past two quarters, financial conditions remain accommodative. As a result, financial vulnerabilities have continued to build in the sovereign, corporate, and non bank financial sectors in several systemically important countries, leading to elevated medium-term risks. The report attempts to provide a comprehensive assessment of these vulnerabilities while focusing specifically on corporate sector debt in advanced economies, the sovereign–financial sector nexus in the euro area, China’s financial imbalances, volatile portfolio flows to emerging markets, and downside risks to the housing market. These vulnerabilities require action by policymakers, including through the clear communication of any changes in their monetary policy outlook, the deployment and expansion of macroprudential tools, the stepping up of measures to repair public and private sector balance sheets, and the strengthening of emerging market resilience to foreign portfolio out flows. Downside Risks to House Prices: The study and quantifies house prices at risk, a measure of downside risks to future house price growth—using theory, insights from past analyses, and new statistical techniques applied to 32 advanced and emerging market economies and major cities. The chapter finds that lower house price momentum, overvaluation, excessive credit growth, and tighter financial conditions predict heightened downside risks to house prices up to three years ahead. The measure of house prices at risk helps forecast downside risks to GDP growth and adds to early-warning models for financial crises. Policymakers can use estimates of house prices at risk to complement other surveillance indicators of housing market vulnerabilities and guide macroprudential policy actions aimed at building buffers and reducing vulnerabilities. Downside risks to house prices could also be relevant for monetary policymakers when forming their views on the downside risks to the economic and inflation outlook. Authorities considering measures to manage capital flows might also find such information useful when a surge in capital inflows increases downside risks to house prices and when other policy options are limited.
    • 八月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 22 八月, 2019
      选择数据集
      This dataset provides a comprehensive view of the integrated balance sheet. In other words, changes between the opening and closing stock positions in assets and liabilities are explained through transactions, holding gains/losses, and other changes in the volume of assets and liabilities. Data on net investment in non-financial assets – a component of total expenditure – on its components and related stock positions are provided.
  • I
  • N
    • 三月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 13 三月, 2019
      选择数据集
      It presents the balance sheets for non financial assets by institutional sectors, for both produced assets (fixed assets, inventories, valuables) and non-produced assets (tangible and intangible).  It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • 八月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 13 八月, 2019
      选择数据集
      This dataset presents the Non-consolidated financial balance sheets by economic sector (Quarterly table 0720), according to SNA 2008 methodology. It comprises all flows, which record, by type of financial instruments, the financial transactions between institutional sectors.
    • 八月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 13 八月, 2019
      选择数据集
      This dataset presents the Non-consolidated financial transactions by economic sector (Quarterly table 0620), according to SNA 2008 methodology. It comprises all flows, which record, by type of financial instruments, the financial transactions between institutional sectors.
  • R
  • T