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TwitterAs of August 2025, the Vanguard Information Technology Index Fund provided the ******* one-year return rate. The Vanguard S&P 500 Growth Index Fund ranked ****** having a one-year return rate of *****percent. As of August 2025, the Vanguard Total Stock Market Index Fund was the largest fund owned by Vanguard, with net assets under management worth approximately **** trillion U.S. dollars. What is the difference between mutual funds and exchange traded funds? Both mutual funds and exchange traded funds (ETFs) originate from the concept of pooled fund investing, which bundles securities together to offer investors a more diversified portfolio. However, mutual funds and ETFs have some key differences. For instance, ETFs offer more flexible trading as they trade during the day like stocks, while mutual funds only allow transactions at the end of the day. Moreover, ETFs are mostly passively-managed and mirror a designated index. On the other hand, mutual funds are typically actively-managed, as it can be seen by comparing the number of actively and passively-managed mutual funds in the United States. Vanguard Founded by John C. Bogle in 1975, Vanguard is a U.S. asset management company that offers both mutual funds and ETFs. Headquartered in Malvern, Pennsylvania, Vanguard was the ****** largest provider of ETFs in the United States after BlackRock Financial Management, with assets under management worth *** trillion U.S. dollars. Likewise, in 2025, Vanguard ranked among the largest providers of mutual funds worldwide. The total assets under management of Vanguard increased considerably since its foundation in 1975, and peaked at *****trillion U.S. dollars in April 2025.
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View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.
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According to Cognitive Market Research, the global index fund market size was USD XX million in 2024. It will expand at a compound annual growth rate (CAGR) of 6.00% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD XX million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.7% from 2024 to 2031.
The insurance fund held the highest index fund market revenue share in 2024.
Market Dynamics of Index Fund Market
Key Drivers for Index Fund Market
Increased Awareness and Education About Investing to Increase the Demand Globally
Increased awareness and education about investing have driven the growth of the index fund market. As people become more informed about financial principles, they realize the advantages of index funds, including low expenses, diversification, and transparency. Understanding the advantages of passive investing over operational management fosters confidence in index funds as dedicated vehicles for long-term wealth accumulation. This heightened attention drives greater participation in the market, shaping it into a key element of many investors' portfolios and contributing to its ongoing expansion.
Changes in Regulatory Policies, Such As Tax Laws Or Securities Regulations to Propel Market Growth
Changes in regulatory policies, like alterations in tax laws or securities regulations, can profoundly impact the index fund market. Shifts in tax codes may affect investors' after-tax returns, influencing their investment decisions. Similarly, changes in securities regulations can influence the structure and function of index funds, potentially limiting their attractiveness or compliance needs. Such changes can lead to changes in investor behavior, fund implementation, and market dynamics, highlighting the interconnectedness between regulatory conditions and the index fund market's strength and development trajectory?.
Restraint Factor for the Index Fund Market
Changes in Financial Regulations to Limit the Sales
Changes in financial regulations can significantly impact the index fund market. Stricter regulatory requirements may improve compliance expenses for fund managers, potentially directing investors to higher fees. Additionally, regulations that restrict certain types of investments or mandate more comprehensive reporting can decrease the flexibility and attractiveness of index funds. Conversely, regulations encouraging transparency and investor protection can increase confidence and participation in the market.
Impact of Covid-19 on the Index Fund Market
The COVID-19 pandemic significantly impacted the index fund market, initially causing volatility and sharp drops. However, it also revved a shift towards passive investing due to market anticipation and the search for stability. Investors flocked to index funds for their low expenses, diversification, and constant performance. The subsequent market recovery, fueled by monetary and fiscal stimulation, further expanded index fund assets. Overall, the pandemic highlighted the resilience of index funds and solidified their attraction as a core investment strategy during times of economic uncertainty. Introduction of the Index Fund Market
An index fund is a type of mutual fund or ETF designed to replicate the performance of a specific financial market index, delivering low costs, broad diversification, and passive investment management. Growing disposable incomes in developing regions significantly boost the index fund market. As individuals in these areas gain more financial stability, they seek investment opportunities to increase their wealth. Index funds, with their low expenses, ...
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This dataset was created by web scraping data from various mutual funds in India.
The dataset is useful for anyone interested in analyzing the performance of mutual funds in India. Analysts can use this dataset to study trends, compare different funds, and gain insights into the Indian mutual fund industry.
Data fields:
Scheme Name: Name of the mutual fund scheme Min sip: Min sip amount required to start. Min lumpsum: Min lumpsum amount required to start. Expense ratio: calculated as a percentage of the Scheme's average Net Asset Value (NAV). Fund size: the total amount of money that a mutual fund manager must oversee and invest. Fund age: years since inception of scheme Fund manager: A fund manager is responsible for implementing a fund's investment strategy and managing its trading activities. Sortino : Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy Alpha: Alpha is the excess returns relative to market benchmark for a given amount of risk taken by the scheme Standard deviation: A standard deviation is a number that can be used to show how much the returns of a mutual fund scheme are likely to deviate from its average annual returns. Beta: Beta in a mutual fund is often used to convey the fund's volatility (gains or losses) in relation to its respective benchmark index Sharpe: Sharpe Ratio of a mutual fund reveals its potential risk-adjusted returns Risk level: 1- Low risk 2- Low to moderate 3- Moderate 4- Moderately High 5- High 6- Very High AMC name: Mutual fund house managing the assets. Rating: 0-5 rating assigned to scheme Category: The category to which the mutual fund belongs (e.g. equity, debt, hybrid) Sub-category : It includes category like Small cap, Large cap, ELSS, etc. Return_1yr (%): The return percentage of the mutual fund scheme over 1 year. Return_3yr (%): The return percentage of the mutual fund scheme over 3 year. Return_5yr (%): The return percentage of the mutual fund scheme over 5year.
Number of instances: The dataset contains data on hundreds of mutual funds available in India. Data source: The dataset was created by web scraping data from online websites
Disclaimer: The dataset is for educational and research purposes only. The data may not be 100% accurate and users should verify the data before making any investment decisions.
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Market timing is an investment technique that tries to continuously switch investment into assets forecast to have better returns. What is the likelihood of having a successful market timing strategy? With an emphasis on modeling simplicity, I calculate the feasible set of market timing portfolios using index mutual fund data for perfectly timed (by hindsight) all or nothing quarterly switching between two asset classes, US stocks and bonds over the time period 1993–2017. The historical optimal timing path of switches is shown to be indistinguishable from a random sequence. The key result is that the probability distribution function of market timing returns is asymmetric, that the highest probability outcome for market timing is a below median return. Put another way, simple math says market timing is more likely to lose than to win—even before accounting for costs. The median of the market timing return probability distribution can be directly calculated as a weighted average of the returns of the model assets with the weights given by the fraction of time each asset has a higher return than the other. For the time period of the data the median return was close to, but not identical with, the return of a static 60:40 stock:bond portfolio. These results are illustrated through Monte Carlo sampling of timing paths within the feasible set and by the observed return paths of several market timing mutual funds.
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TwitterAs of December 2023, fixed-income funds provided the highest one-year return of the selected fund types issued by SCB Asset Management Company Limited. Index funds had the highest rate of three-year returns with the SCB Set Banking Sector Index Fund E-channel having a compound rate of return of ***** percent.
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TwitterIn December 2024, the monthly total return index of properties owned by core real estate funds in Japan stood at ******** points. The total index return is based on weighted average income returns and capital returns.
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Shanghai Stock Exchange: Index: Fund Index data was reported at 7,243.760 NA in Feb 2026. This records an increase from the previous number of 7,203.840 NA for Jan 2026. Shanghai Stock Exchange: Index: Fund Index data is updated monthly, averaging 7,551.990 NA from Sep 2017 (Median) to Feb 2026, with 102 observations. The data reached an all-time high of 7,614.930 NA in Jun 2021 and a record low of 5,493.290 NA in Jan 2024. Shanghai Stock Exchange: Index: Fund Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s China – Table CN.EDI.SE: Shanghai Stock Exchange: Monthly.
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The S&P 500,[2] or simply the S&P,[4] is a stock market index that measures the stock performance of 500 large companies listed on stock exchanges in the United States. It is one of the most commonly followed equity indices.[5] The average annual total return and compound annual growth rate of the index, including dividends, since inception in 1926 has been approximately 9.8%, or 6% after inflation; however, there were several years where the index declined over 30%.[6][7] The index has posted annual increases 70% of the time.[5] However, the index has only made new highs on 5% of trading days, meaning that on 95% of trading days, the index has closed below its all-time high.[8]
For a list of the components of the index, see List of S&P 500 companies. The components that have increased their dividends in 25 consecutive years are known as the S&P 500 Dividend Aristocrats.[9]:25
The S&P 500 index is a capitalization-weighted index and the 10 largest companies in the index account for 26% of the market capitalization of the index. The 10 largest companies in the index, in order of weighting, are Apple Inc., Microsoft, Amazon.com, Alphabet Inc., Facebook, Johnson & Johnson, Berkshire Hathaway, Visa Inc., Procter & Gamble and JPMorgan Chase, respectively.[2]
Funds that track the index have been recommended as investments by Warren Buffett, Burton Malkiel, and John C. Bogle for investors with long time horizons.[10]
Although the index includes only companies listed in the United States, companies in the index derive on average only 71% of their revenue in the United States.[11]
The index is one of the factors in computation of the Conference Board Leading Economic Index, used to forecast the direction of the economy.[12]
The index is associated with many ticker symbols, including: ^GSPC,[13] INX,[14] and $SPX, depending on market or website.[15] The index value is updated every 15 seconds, or 1,559 times per trading day, with price updates disseminated by Reuters.[16]
The S&P 500 is maintained by S&P Dow Jones Indices, a joint venture majority-owned by S&P Global and its components are selected by a committee.[17][18]
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TwitterVanguard's high dividend yield index fund traded under the ticker symbol VYM may appeal to investors interested in a targeted dividend strategy as this fund selects stocks that currently pay higher-than-average dividend yields. The largest underlying sectors were financials and industrials at **** and **** percent, respectively, but there was also a decent allocation to healthcare and consumer staples at **** and *****percent.
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German Central Bank (ed.), 1975: Deutsches Geld- und Bankwesen in Zahlen 1876 – 1975. (German monetary system and banking system in numbers 1876 – 1975) German Central Bank (ed.), different years: monthly reports of the German Central Bank, statistical part, interest rates German Central Bank (ed.), different years: Supplementary statistical booklets for the monthly reports of the German Central Bank 1959 – 1992, security statistics Reich Statistical Office (ed.), different years: Statistical yearbook of the German empire Statistical Office (ed.), 1985: Geld und Kredit. Index der Aktienkurse (Money and Credit. Index of share prices) – Lange Reihe; Fachserie 9, Reihe 2. Statistical Office (ed.), 1987: Entwicklung der Nahrungsmittelpreise von 1800 – 1880 in Deutschland. (Development of food prices in Germany 1800 – 1880) Statistical Office (ed.), 1987: Entwicklung der Verbraucherpreise (Development of consumer prices) seit 1881 in Deutschland. (Development of consumer prices since 1881 in Germany) Statistical Office (ed.), different years: Fachserie 17, Reihe 7, Preisindex für die Lebenshaltung (price index for costs of living) Donner, 1934: Kursbildung am Aktienmarkt; Grundlagen zur Konjunkturbeobachtung an den Effektenmärkten. (Prices on the stock market; groundwork for observation of economic cycles on the stock market) Homburger, 1905: Die Entwicklung des Zinsfusses in Deutschland von 1870 – 1903. (Development of the interest flow in Germany, 1870 – 1903) Voye, 1902: Über die Höhe der verschiedenen Zinsarten und ihre wechselseitige Abhängigkeit.(On the values of different types of interests and their interdependence).
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China's main stock market index, the SHANGHAI, rose to 3914 points on March 27, 2026, gaining 0.63% from the previous session. Over the past month, the index has declined 6.43%, though it remains 16.78% higher than a year ago, 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 March of 2026.
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View monthly updates and historical trends for S&P 500 1 Year Return (DISCONTINUED). from United States. Source: Standard and Poor's. Track economic data …