The NYSE Financial Index tracks the performance of the equity components on the New York Stock Exchange that offer goods and services in the financial industry by market capitalization. Between ************ and *************, the value of the NYSE Financial Index fluctuated significantly and reached ********* index points.

LSEG is one of the world’s largest sources of index pricing, composition content, and history. Browse LSEG Indices.

This table contains 7 series, with data for years 1981 - 2000 (not all combinations necessarily have data for all years), and was last released on 2007-01-17. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Financial indexes (7 items: Conventional mortgage lending rates; United States exchange rate; Chartered bank lending rates prime business loans; Bond yield averages ...).

An index that can be used to gauge broad financial conditions and assess how these conditions are related to future economic growth. The index is broadly consistent with how the FRB/US model generally relates key financial variables to economic activity. The index aggregates changes in seven financial variables: the federal funds rate, the 10-year Treasury yield, the 30-year fixed mortgage rate, the triple-B corporate bond yield, the Dow Jones total stock market index, the Zillow house price index, and the nominal broad dollar index using weights implied by the FRB/US model and other models in use at the Federal Reserve Board. These models relate households' spending and businesses' investment decisions to changes in short- and long-term interest rates, house and equity prices, and the exchange value of the dollar, among other factors. These financial variables are weighted using impulse response coefficients (dynamic multipliers) that quantify the cumulative effects of unanticipated permanent changes in each financial variable on real gross domestic product (GDP) growth over the subsequent year. The resulting index is named Financial Conditions Impulse on Growth (FCI-G). One appealing feature of the FCI-G is that its movements can be used to measure whether financial conditions have tightened or loosened, to summarize how changes in financial conditions are associated with real GDP growth over the following year, or both.

Graph and download economic data for Chicago Fed Adjusted National Financial Conditions Index (ANFCI) from 1971-01-08 to 2025-07-18 about adjusted, financial, indexes, and USA.

During the week ending January 3, 2025, the weekly National Financial Conditions Index (NFCI) of the United States stood at ****. This reflects a slight increase from the previous week. The NCFI shows a comprehensive view of the U.S. financial conditions in money markets, debt and equity markets, and banking systems. A positive NFCI value is associated with tighter-than-average financial conditions, while negative values have been historically associated with looser-than-average financial conditions.

This table contains 14 series, with data for years 1971 - 1997 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Financial indexes (7 items: Conventional mortgage lending rates; Chartered bank lending rates prime business loans; United States exchange rate; Bond yield averages ...), Index base period (2 items: 1986=100;1981=100 ...).

In 2024, Indonesia's financial inclusion index was around ** percent. The same survey found that the financial literacy index of the country reached about ** percent. This indicates financial services are widely used, but are not complemented by adequate financial literacy.

United States OFR Financial Stress Index: Emerging Markets data was reported at -0.246 Index in 13 May 2025. This records a decrease from the previous number of -0.245 Index for 12 May 2025. United States OFR Financial Stress Index: Emerging Markets data is updated daily, averaging -0.054 Index from Jan 2000 (Median) to 13 May 2025, with 6409 observations. The data reached an all-time high of 1.232 Index in 23 Mar 2020 and a record low of -0.471 Index in 16 Feb 2021. United States OFR Financial Stress Index: Emerging Markets data remains active status in CEIC and is reported by Office of Financial Research. The data is categorized under Global Database’s United States – Table US.S: OFR Financial Stress Index.

EDI tracks and collects index notifications from a wide range of index providers and covers many financial market indices, including stock and bond indices as well as economic indicators. Components for over 6000 Indices worldwide

Indices Data. The components are updated daily. Historical components lists are available based on legal advice. Index components weighting are not offered.

Using the EDI SFTP Server, you will receive the daily index composition of the indices that you subscribe to. The files are provided as txt.csv or xls format. EDI provides a free coverage check and samples of the index components that are of interest to you.

According to Cognitive Market Research, the global index fund market size will be 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, diversification, and comfort of access, become attractive options for t...

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Graph and download economic data for Chicago Fed National Financial Conditions Risk Subindex (NFCIRISK) from 1971-01-08 to 2025-06-13 about adjusted, financial, indexes, and USA.

The value of the DJIA index amounted to ****** at the end of June 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

This statistic presents the returns of the S&P 500 Financials Index in the United States from 2007 to 2023. The financial sector had its worst year in 2008, where it lost **** percent of its value. In 2023, it gained **** percent of value, despite recording a loss in the previous year.

In the first quarter of financial year 2025, the ***************** had been the drivers for a significant uplift in the financial conditions index, with index values of nearly **. The financial conditions index consists of four sub-indices, displaying cost of funds, liquidity, external linkages, and economic activity. It was the 34th edition of the index, to which ** banks and financial institutions contributed.

Iran Index: TSE: Financial Intermediation: Investment Companies data was reported at 3,123.500 21Mar1998=100 in Nov 2018. This records an increase from the previous number of 3,110.100 21Mar1998=100 for Oct 2018. Iran Index: TSE: Financial Intermediation: Investment Companies data is updated monthly, averaging 601.900 21Mar1998=100 from Jan 2005 (Median) to Nov 2018, with 165 observations. The data reached an all-time high of 3,806.600 21Mar1998=100 in Sep 2018 and a record low of 0.000 21Mar1998=100 in Jul 2007. Iran Index: TSE: Financial Intermediation: Investment Companies data remains active status in CEIC and is reported by Tehran Stock Exchange. The data is categorized under Global Database’s Iran – Table IR.Z001: Tehran Stock Exchange: Index.

Financial Stress Index (STLFSI3) data was reported at -1.706 % in 28 Oct 2022. This records an increase from the previous number of -1.855 % for 21 Oct 2022. Financial Stress Index (STLFSI3) data is updated weekly, averaging -0.201 % from Dec 1993 (Median) to 28 Oct 2022, with 1505 observations. The data reached an all-time high of 8.257 % in 10 Oct 2008 and a record low of -1.887 % in 12 Aug 2022. Financial Stress Index (STLFSI3) data remains active status in CEIC and is reported by Federal Reserve Bank of St. Louis. The data is categorized under Global Database’s United States – Table US.S018: Financial Stress Index.

United States OFR Financial Stress Index - OFR FSI data was reported at -1.731 Index in 13 May 2025. This records a decrease from the previous number of -1.544 Index for 12 May 2025. United States OFR Financial Stress Index - OFR FSI data is updated daily, averaging -1.677 Index from Jan 2000 (Median) to 13 May 2025, with 6409 observations. The data reached an all-time high of 10.266 Index in 19 Mar 2020 and a record low of -4.364 Index in 12 Feb 2021. United States OFR Financial Stress Index - OFR FSI data remains active status in CEIC and is reported by Office of Financial Research. The data is categorized under Global Database’s United States – Table US.S: OFR Financial Stress Index.

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

National coverage

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for Italy is 1000.

Mode of data collection

Landline and mobile telephone

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.