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墨西哥

  • 总统:Andrés Manuel López Obrador
  • 参议院议长:Martí Batres Guadarrama
  • 首都:Mexico City (Distrito Federal)
  • 语言:Spanish only 92.7%, Spanish and indigenous languages 5.7%, indigenous only 0.8%, unspecified 0.8% note: indigenous languages include various Mayan, Nahuatl, and other regional languages (2005)
  • 政府
  • 国家统计局
  • 人口,人口:126,190,788 (2018)
  • 面积,平方公里:1,943,950
  • 人均国内生产总值,美元:9,698 (2018)
  • GDP,目前美元十亿美元:1,223.8 (2018)
  • 基尼系数:No data
  • 经商容易度排名:54

Finance

所有数据集:  C E F G H I N P R S T
  • C
    • 九月 2019
      来源: National Bureau of Statistics, Nigeria
      上传者: Knoema
      访问日期: 17 九月, 2019
      选择数据集
      Capital Importation into Nigeria
    • 十二月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 03 十二月, 2019
      选择数据集
      Statistical population: CLIs are calculated for 33 OECD countries (Iceland is not included), 6 non-member economies and 8 zone aggregates. A country CLI comprises a set of component series selected from a wide range of key short-term economic indicators.   CLIs, reference series data (see below) and standardised business and consumer confidence indicators are presented in various forms.   Recommended uses and limitations: The composite leading indicator is a times series, formed by aggregating a variety of component indicators which show a reasonably consistent relationship with a reference series (e.g. industrial production IIP up to March 2012 and since then the reference series is GDP) at turning points. The OECD CLI is designed to provide qualitative information on short-term economic movements, especially at the turning points, rather than quantitative measures. Therefore, the main message of CLI movements over time is the increase or decrease, rather than the amplitude of the changes. The OECD’s headline indicator is the amplitude adjusted CLI. In practice, turning points in the de-trended reference series have been found about 4 to 8 months (on average) after the signals of turning points had been detected in the headline CLI.
    • 十一月 2019
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 28 十一月, 2019
      选择数据集
      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
    • 十二月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 13 十二月, 2019
      选择数据集
      The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • 一月 2019
      来源: NYU Stern
      上传者: Knoema
      访问日期: 13 二月, 2019
      选择数据集
      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    
    • 十月 2019
      来源: Federal Financial Institutions Examination Council
      上传者: Knoema
      访问日期: 23 十月, 2019
      选择数据集
      Reports - Statistical Releases E.16 Country Exposure Lending Survey and Country Exposure Information Report
    • 十二月 2019
      来源: Bank for International Settlements
      上传者: Sandeep Reddy
      访问日期: 05 十二月, 2019
      选择数据集
      >>All series on credit to the non-financial sector cover 44 economies, both advanced and emerging. They capture the outstanding amount of credit at the end of the reference quarter. Credit is provided by domestic banks, all other sectors of the economy and non-residents. In terms of financial instruments, credit covers the core debt, defined as loans, debt securities and currency & deposits.   >>All series are published in local currency, in US dollars and as percentages of nominal GDP. The regional aggregates as percentages of GDP are calculated based on conversion to the US dollar at market and at purchasing power parity (PPP) exchange rates.   Data cited at : https://www.bis.org/statistics/index.htm
    • 十月 2019
      来源: National Bank of Belgium
      上传者: Knoema
      访问日期: 06 十月, 2019
      选择数据集
  • E
    • 十二月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 10 十二月, 2019
      选择数据集
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
  • F
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 23 十月, 2019
      选择数据集
      The financial indicators in this dataset are constructed from OECD countries’ financial balance sheets (stocks): these ratios are considered as relevant to analyse the position and performance of the various institutional sectors. They comprise for instance: Financial net worth of Households and NPISHs, as a percentage of GDI; Non-financial corporations debt to equity ratio; Private sector debt; Leverage of the banking sector; General government debt, as a percentage of GDP.
    • 十一月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 18 十一月, 2019
      选择数据集
      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.
  • G
    • 十一月 2019
      来源: Economic Policy Uncertainty
      上传者: Knoema
      访问日期: 28 十一月, 2019
      选择数据集
      Data cited at: Economic Policy Uncertainty The Global Economic Policy Uncertainty (GEPU) Index is a GDP-weighted average of national EPU indices for 20 countries: Australia, Brazil, Canada, Chile, China, France, Germany, Greece, India, Ireland, Italy, Japan, Mexico, the Netherlands, Russia, South Korea, Spain, Sweden, the United Kingdom, and the United States.
    • 十月 2019
      来源: World Bank
      上传者: Knoema
      访问日期: 23 十月, 2019
      选择数据集
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Financial Development Publication: https://datacatalog.worldbank.org/dataset/global-financial-development License: http://creativecommons.org/licenses/by/4.0/   The Global Financial Development Database is an extensive dataset of financial system characteristics for 206 economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability).For a complete description of the dataset and a discussion of the underlying literature, see: Martin Cihak; Asli Demirguc-Kunt; Erik Feyen; and Ross Levine, 2012. "Benchmarking Financial Systems Around the World." World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C.
    • 十月 2018
      来源: World Bank
      上传者: Knoema
      访问日期: 14 十一月, 2018
      选择数据集
      Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.  The dataset help us to know about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.
    • 十二月 2016
      来源: World Bank
      上传者: Knoema
      访问日期: 09 十月, 2018
      选择数据集
      GPSS data (Accounts & Access, retail payment transactions and RTGS transactions – volumes and values). The World Bank’s Global Payment Systems Survey (GPSS) surveys national and regional central banks and monetary authorities on the status of payment systems. The GPSS is the only global survey that combines quantitative and qualitative measures of payment system development and covers all aspects of national payment systems – from infrastructure and the legal and regulatory environment to technological and business model innovations, international remittances, and oversight framework. The GPSS aims to take an accurate snapshot of payment systems worldwide to obtain information on payment system reforms and the factors which hinder and/or facilitate them in order to help guide policy-dialogue at the international and national levels, and World Bank Group technical assistance. In April 2007, the World Bank launched the first Global Payment Systems Survey among national central banks to collect information on the situation of national payment and securities settlement systems worldwide and provide a payment systems snapshot of both advanced and emerging economies in order to identify main issues that should guide the agenda of authorities, multilateral and market players in the field over the next few years.
    • 十二月 2019
      来源: countryeconomy.com
      上传者: Knoema
      访问日期: 13 十二月, 2019
      选择数据集
      Global Stock Market Indexes, Daily Update
    • 十一月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 22 十一月, 2019
      选择数据集
      This dataset provides an overview of total financial assets and liabilities classified by the sector to which the counterpart claim belongs. The counterpart sectors include non-financial corporations, the central bank, deposit taking corporations, other financial corporation sectors, government sectors, international organizations, external financial corporations, external general government, and other external sectors.
    • 十一月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 22 十一月, 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.
    • 五月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 18 十一月, 2019
      选择数据集
      This dataset provides an overview of government operations and stock positions, as well as several derived balances. The Statement of Government Operations shows revenue and expense, with their main components, the operating balance and net lending/net borrowing, as well as financing. The Balance sheet shows stock positions in assets and liabilities, with their main components, as well as net worth and net financial worth. In addition, data on gross debt and net debt are included.
  • H
    • 十二月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 05 十二月, 2019
      选择数据集
      The elaboration of a more precise nomenclature of households' financial assets and liabilities and the collection of more detailed information constitute an attempt to better identify and analyse households' wealth in OECD countries. The objective of the sub-classification of assets and liabilities is to identify the relative importance of the various types of assets, classified according to the increasing risk
  • I
    • 六月 2019
      来源: World Bank
      上传者: Knoema
      访问日期: 28 八月, 2019
      选择数据集
      Member countries are allocated votes at the time of membership and subsequently for additional subscriptions to capital. Votes are allocated differently in each organization. Each member receives the votes it is allocated under IDA replenishments according to the rules established in each IDA replenishment resolution. Votes consist of subscription votes and membership votes.
    • 九月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 17 九月, 2019
      选择数据集
      This data deals with premiums written by classes of non-life insurance for the business written in the reporting country.
    • 四月 2019
      来源: Investment Company Institute
      上传者: Knoema
      访问日期: 01 七月, 2019
      选择数据集
      Investment Company Fact Book, 2019
  • N
  • P
    • 九月 2017
      来源: Willis Towers Watson
      上传者: Knoema
      访问日期: 15 十一月, 2017
      选择数据集
      According to the research, North America showed the most noticeable annualised growth rate over the last five years, growing by 6.7% during the period. Europe and Asia-Pacific regions showed annualised growth rates of 3.1 % and 2.8% respectively. The U.S. continues to hold its position as the country with the largest share of pension assets across the top 300 funds, representing 38.6% spread across 134 funds. Meanwhile, Canada has overtaken the U.K. as the fifth largest country by share of pension fund assets, accounting for 5.4% (5.3% in 2015). The U.K. now accounts for 4.8%, falling from 5.4% of total assets in 2015. A total of 28 new funds have entered the ranking over the last five years, with the U.S. contributing the most new funds (13) on a net basis. Germany and Mexico experienced the highest net losses over the period, losing a net four funds each. The U.S. has the largest number of funds within the top 300 ranking (134), followed by the U.K. (26), Canada (18), Japan and Australia (both 16). Defined benefit (DB) assets increased by 5.6% in 2016, compared to 9.6% for defined contribution (DC) plans, 3.9% for reserve funds and an increase of 2.9% for hybrid funds. DB assets account for 65.5% of the disclosed total AUM, down from 65.9% in 2015, whilst DC assets have increased their share, rising from 21.5% in 2015 to 22.2%. Reserve funds remain relatively unchanged at 11.5% (11.7% in 2015), as do hybrid funds (0.8%, falling from 0.9% in 2015)
    • 九月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 18 九月, 2019
      选择数据集
      This dataset covers only Cross-Country-Concepts - Portfolio Investment related indicators. Please visit Principal Global Indicators - Data by Indicator for other set of Principal Global Indicators. 
    • 十二月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 06 十二月, 2019
      选择数据集
      The Principal Global Indicators (PGI) dataset provides internationally comparable data for the Group of 20 economies (G-20) and economies with systemically important financial sectors that are not members of the G-20. The PGI facilitates the monitoring of economic and financial developments for these jurisdictions. Launched in 2009, the PGI website is hosted by the IMF and is a joint undertaking of the Inter-Agency Group of Economic and Financial Statistics (IAG).
  • R
    • 十月 2015
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 27 十月, 2015
      选择数据集
      Global growth declined in the first half of 2015, reflecting a further slowdown in emerging markets and a weaker recovery in advanced economies. It is now projected at 3.1 percent for 2015 as a whole, slightly lower than in 2014, and 0.2 percentage point below the forecasts in the July 2015 World Economic Outlook (WEO) Update. Prospects across the main countries and regions remain uneven. Relative to last year, growth in advanced economies is expected to pick up slightly, while it is projected to decline in emerging market and developing economies. With declining commodity prices, depreciating emerging market currencies, and increasing financial market volatility, downside risks to the outlook have risen, particularly for emerging market and developing economies. Global activity is projected to gather some pace in 2016. In advanced economies, the modest recovery that started in 2014 is projected to strengthen further. In emerging market and developing economies, the outlook is projected to improve: in particular, growth in countries in economic distress in 2015 (including Brazil, Russia, and some countries in Latin America and in the Middle East), while remaining weak or negative, is projected to be higher next year, more than offsetting the expected gradual slowdown in China.
    • 一月 2018
      来源: World Bank
      上传者: Knoema
      访问日期: 28 二月, 2018
      选择数据集
      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.
  • S
    • 九月 2018
      来源: Securities Industry and Financial Markets Association
      上传者: Knoema
      访问日期: 21 十二月, 2018
      选择数据集
      The SIFMA Fact Book is an annual reference containing comprehensive data on the securities industry, capital markets, market activity, investor participation, global markets, savings and investment, and much more. Note: 2018 and 2019 data is projection data
    • 九月 2018
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 09 十一月, 2018
      选择数据集
      Data cited at : https://www.bis.org/statistics/index.htm
  • T
    • 九月 2019
      来源: National Bureau of Economic Research
      上传者: Knoema
      访问日期: 04 十月, 2019
      选择数据集
      sThe Chinn-Ito index (KAOPEN) is an index measuring a country's degree of capital account openness. The index was initially introduced in Chinn and Ito (Journal of Development Economics, 2006). KAOPEN is based on the binary dummy variables that codify the tabulation of restrictions on cross-border financial transactions reported in the IMF's Annual Report on Exchange Arrangements and Exchange Restrictions (AREAER).   Chinn, Menzie D. and Hiro Ito (2008). "A New Measure of Financial Openness". Journal of Comparative Policy Analysis, Volume 10, Issue 3, p. 309 – 322 (September). Ito, Hiro (2006). "Financial Development in Asia: Thresholds, Institutions, and the Sequence of Liberalization". North American Journal of Economics and Finance, issue 17(3) (December). Chinn, Menzie D. and Hiro Ito (2006)."What Matters for Financial Development? Capital Controls, Institutions, and Interactions," Journal of Development Economics, Volume 81, Issue 1, Pages 163-192 (October). The longer version is available as NBER Working Paper No. 11370 (May 2005). The previous version is "Capital Account Liberalization, Institutions and Financial Development: Cross Country Evidence," (with Menzie Chinn) NBER Working Paper Series, #8967 (June 2002).  
    • 八月 2019
      来源: bitnodes
      上传者: Алина Бузанакова
      访问日期: 02 九月, 2019
      选择数据集

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