Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Assets: Flow: Exchange Traded Funds (ET): saar data was reported at 249.948 USD bn in Mar 2018. This records a decrease from the previous number of 550.612 USD bn for Dec 2017. Assets: Flow: Exchange Traded Funds (ET): saar data is updated quarterly, averaging 0.000 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 550.612 USD bn in Dec 2017 and a record low of -24.056 USD bn in Sep 2003. Assets: Flow: Exchange Traded Funds (ET): saar data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB025: Funds by Sector: Flows and Outstanding: Closed End and Exchange Traded Funds.
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
The US has the biggest stock market in the world, accounting for more than half the global value of stocks. The S&P 500 index comprises the top 500 companies in the world's top economy. SPY is the first exchange-traded fund (ETF) in the US and closely parallels the S&P 500. It is a useful barometer for the US economy and a great resource for time series analysis. The dataset contains over 30 years of daily values from Jan 1993 to end of April 2025. The accompanying notebook provides an introduction.
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F7538086%2Fbc5c16eac7a07944400172e389b9c6e4%2Fplot.png?generation=1744459471221822&alt=media" alt="">
Form N-PORT is to be used by a registered management investment company, or an exchange-traded fund organized as a unit investment trust, or series thereof (“Fund”), other than a Fund that is regulated as a money market fund (“money market fund”) under rule 2a-7 under the Investment Company Act of 1940 15 U.S.C. 80a (17 CFR 270.2a-7) or a small business investment company (“SBIC”) registered on Form N-5 (17 CFR 239.24 and 274.5), to file reports of monthly portfolio holdings pursuant to rule 30b1-9 under the Act (17 CFR 270.30b1-9).
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Replication data (and the respective Stata do files) for Table 1, Table 2, Table A1, as well as Figure 1 and Figure 2 in the paper titled "Βetas distribution and ETF tracking error", by Leonidas Barbopoulos and Konstantinos Tzioumis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Assets: Flow: Exchange Traded Funds (ET) data was reported at 62.487 USD bn in Mar 2018. This records a decrease from the previous number of 137.653 USD bn for Dec 2017. United States Assets: Flow: Exchange Traded Funds (ET) data is updated quarterly, averaging 0.000 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 137.653 USD bn in Dec 2017 and a record low of -6.014 USD bn in Sep 2003. United States Assets: Flow: Exchange Traded Funds (ET) data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB025: Funds by Sector: Flows and Outstanding: Closed End and Exchange Traded Funds.
https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer
View Refinitiv's New York Stock Exchange (NYSE) Market Data and benefit from full-depth market-by-price data, available as real-time and historical records.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
In March 2024 Bitcoin BTC reached a new all-time high with prices exceeding 73000 USD marking a milestone for the cryptocurrency market This surge was due to the approval of Bitcoin exchange-traded funds ETFs in the United States allowing investors to access Bitcoin without directly holding it This development increased Bitcoin’s credibility and brought fresh demand from institutional investors echoing previous price surges in 2021 when Tesla announced its 15 billion investment in Bitcoin and Coinbase was listed on the Nasdaq By the end of 2022 Bitcoin prices dropped sharply to 15000 USD following the collapse of cryptocurrency exchange FTX and its bankruptcy which caused a loss of confidence in the market By August 2024 Bitcoin rebounded to approximately 64178 USD but remained volatile due to inflation and interest rate hikes Unlike fiat currency like the US dollar Bitcoin’s supply is finite with 21 million coins as its maximum supply By September 2024 over 92 percent of Bitcoin had been mined Bitcoin’s value is tied to its scarcity and its mining process is regulated through halving events which cut the reward for mining every four years making it harder and more energy-intensive to mine The next halving event in 2024 will reduce the reward to 3125 BTC from its current 625 BTC The final Bitcoin is expected to be mined around 2140 The energy required to mine Bitcoin has led to criticisms about its environmental impact with estimates in 2021 suggesting that one Bitcoin transaction used as much energy as Argentina Bitcoin’s future price is difficult to predict due to the influence of large holders known as whales who own about 92 percent of all Bitcoin These whales can cause dramatic market swings by making large trades and many retail investors still dominate the market While institutional interest has grown it remains a small fraction compared to retail Bitcoin is vulnerable to external factors like regulatory changes and economic crises leading some to believe it is in a speculative bubble However others argue that Bitcoin is still in its early stages of adoption and will grow further as more institutions and governments recognize its potential as a hedge against inflation and a store of value 2024 has also seen the rise of Bitcoin Layer 2 technologies like the Lightning Network which improve scalability by enabling faster and cheaper transactions These innovations are crucial for Bitcoin’s wider adoption especially for day-to-day use and cross-border remittances At the same time central bank digital currencies CBDCs are gaining traction as several governments including China and the European Union have accelerated the development of their own state-controlled digital currencies while Bitcoin remains decentralized offering financial sovereignty for those who prefer independence from government control The rise of CBDCs is expected to increase interest in Bitcoin as a hedge against these centralized currencies Bitcoin’s journey in 2024 highlights its growing institutional acceptance alongside its inherent market volatility While the approval of Bitcoin ETFs has significantly boosted interest the market remains sensitive to events like exchange collapses and regulatory decisions With the limited supply of Bitcoin and improvements in its transaction efficiency it is expected to remain a key player in the financial world for years to come Whether Bitcoin is currently in a speculative bubble or on a sustainable path to greater adoption will ultimately be revealed over time.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Shareholders with Top-20 NPI in 2016.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Japan's main stock market index, the JP225, rose to 38094 points on June 9, 2025, gaining 0.93% from the previous session. Over the past month, the index has climbed 1.19%, though it remains 2.42% lower than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on June of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
We introduce a new framework, Realized GARCH, for the joint modeling of returns and realized measures of volatility. A key feature is a measurement equation that relates the realized measure to the conditional variance of returns. The measurement equation facilitates a simple modeling of the dependence between returns and future volatility. Realized GARCH models with a linear or log-linear specification have many attractive features. They are parsimonious, simple to estimate, and imply an ARMA structure for the conditional variance and the realized measure. An empirical application with Dow Jones Industrial Average stocks and an exchange traded index fund shows that a simple Realized GARCH structure leads to substantial improvements in the empirical fit over standard GARCH models that only use daily returns.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China's main stock market index, the SHANGHAI, rose to 3385 points on June 6, 2025, gaining 0.04% from the previous session. Over the past month, the index has climbed 1.28% and is up 10.95% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on June of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Russia's main stock market index, the MOEX, fell to 2788 points on June 6, 2025, losing 2.39% from the previous session. Over the past month, the index has declined 1.58% and is down 13.76% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on June of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
India Mutual Funds: AMFI: Sales: Volume: Open End: Gold Exchange Traded Funds data was reported at 12.000 Unit in Oct 2018. This stayed constant from the previous number of 12.000 Unit for Sep 2018. India Mutual Funds: AMFI: Sales: Volume: Open End: Gold Exchange Traded Funds data is updated monthly, averaging 12.000 Unit from Mar 2007 (Median) to Oct 2018, with 140 observations. The data reached an all-time high of 14.000 Unit in Mar 2015 and a record low of 1.000 Unit in Mar 2007. India Mutual Funds: AMFI: Sales: Volume: Open End: Gold Exchange Traded Funds data remains active status in CEIC and is reported by Association of Mutual Funds in India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZC006: Mutual Funds Statistics: Association of Mutual Funds in India (AMFI): Sales: by Category: Volume.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
India Mutual Funds: AMFI: Sales: Existing Schemes: Gold Exchange Traded Funds data was reported at 140.000 INR mn in Oct 2018. This records an increase from the previous number of 40.000 INR mn for Sep 2018. India Mutual Funds: AMFI: Sales: Existing Schemes: Gold Exchange Traded Funds data is updated monthly, averaging 185.000 INR mn from Apr 2007 (Median) to Oct 2018, with 124 observations. The data reached an all-time high of 12,340.000 INR mn in Sep 2011 and a record low of 10.000 INR mn in Aug 2018. India Mutual Funds: AMFI: Sales: Existing Schemes: Gold Exchange Traded Funds data remains active status in CEIC and is reported by Association of Mutual Funds in India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZC007: Mutual Funds Statistics: Association of Mutual Funds in India (AMFI): Sales: by Category: Existing Schemes.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Mutual Funds: AMFI: Sales: Existing Schemes: Volume: Open End: Other Exchange Traded Funds data was reported at 60.000 Unit in Oct 2018. This records an increase from the previous number of 58.000 Unit for Sep 2018. Mutual Funds: AMFI: Sales: Existing Schemes: Volume: Open End: Other Exchange Traded Funds data is updated monthly, averaging 21.000 Unit from Apr 2007 (Median) to Oct 2018, with 139 observations. The data reached an all-time high of 60.000 Unit in Oct 2018 and a record low of 5.000 Unit in Apr 2007. Mutual Funds: AMFI: Sales: Existing Schemes: Volume: Open End: Other Exchange Traded Funds data remains active status in CEIC and is reported by Association of Mutual Funds in India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZC008: Mutual Funds Statistics: Association of Mutual Funds in India (AMFI): Sales: by Category: Existing Schemes: Volume.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
India Mutual Funds: AMFI: Sales: Existing Schemes: Other Exchange Traded Funds data was reported at 39,130.000 INR mn in Oct 2018. This records an increase from the previous number of 37,840.000 INR mn for Sep 2018. India Mutual Funds: AMFI: Sales: Existing Schemes: Other Exchange Traded Funds data is updated monthly, averaging 4,990.000 INR mn from Apr 2007 (Median) to Oct 2018, with 139 observations. The data reached an all-time high of 113,980.000 INR mn in Jun 2018 and a record low of 560.000 INR mn in Mar 2010. India Mutual Funds: AMFI: Sales: Existing Schemes: Other Exchange Traded Funds data remains active status in CEIC and is reported by Association of Mutual Funds in India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZC007: Mutual Funds Statistics: Association of Mutual Funds in India (AMFI): Sales: by Category: Existing Schemes.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Mutual Funds: AMFI: Other Exchange Traded Funds: Net Inflow data was reported at 28,200.000 INR mn in Oct 2018. This records an increase from the previous number of 24,090.000 INR mn for Sep 2018. Mutual Funds: AMFI: Other Exchange Traded Funds: Net Inflow data is updated monthly, averaging 730.000 INR mn from Apr 2007 (Median) to Oct 2018, with 139 observations. The data reached an all-time high of 124,470.000 INR mn in Nov 2017 and a record low of -39,820.000 INR mn in Jul 2018. Mutual Funds: AMFI: Other Exchange Traded Funds: Net Inflow data remains active status in CEIC and is reported by Association of Mutual Funds in India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZC003: Mutual Funds Statistics: Association of Mutual Funds in India (AMFI).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
India Mutual Funds: AMFI: Gold Exchange Traded Funds: Sales: Volume data was reported at 12.000 Unit in Nov 2018. This stayed constant from the previous number of 12.000 Unit for Oct 2018. India Mutual Funds: AMFI: Gold Exchange Traded Funds: Sales: Volume data is updated monthly, averaging 12.000 Unit from Mar 2007 (Median) to Nov 2018, with 141 observations. The data reached an all-time high of 14.000 Unit in Mar 2015 and a record low of 1.000 Unit in Mar 2007. India Mutual Funds: AMFI: Gold Exchange Traded Funds: Sales: Volume data remains active status in CEIC and is reported by Association of Mutual Funds in India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZC003: Mutual Funds Statistics: Association of Mutual Funds in India (AMFI).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
India Mutual Funds: AMFI: Redemption: Open End: Other Exchange Traded Funds data was reported at 10,930.000 INR mn in Oct 2018. This records a decrease from the previous number of 14,080.000 INR mn for Sep 2018. India Mutual Funds: AMFI: Redemption: Open End: Other Exchange Traded Funds data is updated monthly, averaging 4,680.000 INR mn from Apr 2007 (Median) to Oct 2018, with 139 observations. The data reached an all-time high of 71,430.000 INR mn in Jul 2018 and a record low of 550.000 INR mn in Apr 2010. India Mutual Funds: AMFI: Redemption: Open End: Other Exchange Traded Funds data remains active status in CEIC and is reported by Association of Mutual Funds in India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZC011: Mutual Funds Statistics: Association of Mutual Funds in India (AMFI): Redemptions: by Category.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States US: Number of Listed Domestic Companies: Total data was reported at 4,336.000 Unit in 2017. This records an increase from the previous number of 4,331.000 Unit for 2016. United States US: Number of Listed Domestic Companies: Total data is updated yearly, averaging 5,930.000 Unit from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 8,090.000 Unit in 1996 and a record low of 4,102.000 Unit in 2012. United States US: Number of Listed Domestic Companies: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. Listed domestic companies, including foreign companies which are exclusively listed, are those which have shares listed on an exchange at the end of the year. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies, such as holding companies and investment companies, regardless of their legal status, are excluded. A company with several classes of shares is counted once. Only companies admitted to listing on the exchange are included.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Assets: Flow: Exchange Traded Funds (ET): saar data was reported at 249.948 USD bn in Mar 2018. This records a decrease from the previous number of 550.612 USD bn for Dec 2017. Assets: Flow: Exchange Traded Funds (ET): saar data is updated quarterly, averaging 0.000 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 550.612 USD bn in Dec 2017 and a record low of -24.056 USD bn in Sep 2003. Assets: Flow: Exchange Traded Funds (ET): saar data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB025: Funds by Sector: Flows and Outstanding: Closed End and Exchange Traded Funds.