top of page

Petals and Stems Group

Public·6 members

Msci World Index Historical Data [UPDATED]

Find Historical End-of-Day MSCI World Index prices on the Price History page. For more data, Barchart Premier members can download historical Intraday, Daily, Weekly, Monthly or Quarterly data on the MSCI World Index Historical Download tab, and can download additional underlying chart data and study values using the Interactive Charts.

msci world index historical data

Download Zip:

Should you require more than 100 downloads per day, please contact Barchart Sales at 866-333-7587 or email for more information or additional options about historical market data.

The MSCI World is a market cap weighted stock market index of 1,508 constituents throughout the world.[1][2] It is maintained by MSCI, formerly Morgan Stanley Capital International, and is used as a common benchmark for 'world' or 'global' stock funds intended to represent a broad cross-section of global markets.

The index includes a collection of stocks of all the developed markets in the world, as defined by MSCI. The index includes securities from 23 countries excluding stocks from emerging and frontier economies making it less worldwide than the name suggests. A related index, the MSCI All Country World Index (ACWI), incorporated both developed and emerging countries. MSCI also produces a Frontier Markets index, including another 31 markets.[3]

On this page you can find free resources on the internet that provide relevant financial data such as stock market prices ,historical returns of stock indices and ETFs, inflation data and more. In addition to the link to the website where the data can be downloaded, there is a compact description of what the data contains and in which format (e.g. csv file) it is provided. There are also links to all the blog posts of GuidingData that use the corresponding data. The list will continue to grow over time. Let me know if you have any other exciting data sources.

ETFs are often based on MSCI indices. Probably the best known examples are the MSCI World or the MSCI ACWI (All Countries World Index). In addition, MSCI offers indices that target specific regions, e.g. MSCI Europe, or track specific factors, e.g. MSCI World Small Cap with companies of small market capitalization, or MSCI World Value with companies that have a favorable valuation in terms of their fundamentals (e.g. earnings, book value). Depending on the index, the data extends back into the past to varying degrees; for the MSCI World, for example, the historical price data begins in 1969.

MSCI provides the data on their webpage. In addition to the period and currency, the interval (daily, monthly, yearly) and the form of the index (e.g. TR = Total Return, i.e. with dividends, or PR = Price Return, i.e. the pure price development without dividends) can be set. After configuring the parameters, the data can be downloaded as a csv file. The data can then be used to calculate historical returns for the MSCI indices.

Robert Shiller DataOne of the most important scientific data sets for stocks comes from U.S. researcher Robert Shiller. This data is freely available on the Internet and dates back to 1871, making it the longest historical period for stock market data. The data is given in monthly intervals. Unfortunately, the Shiller data is limited to the U.S. stock and bond markets. The data tracks the performance over time of the S&P 500, which is one of the best-known stock indices in the world and tracks the performance of the 500 largest U.S. companies listed on the stock market. Together, these 500 companies account for about 60% of the market value of all listed U.S. companies today. Dividends and share prices are reported separately and inflation-adjusted values are provided. Many academic studies of stock market behavior rely on this data. The data can be downloaded as a csv file.

The data collection effort about investor attitudes that I have been conducting since 1989 has now resulted in a group of Stock Market Confidence Indexes produced by the Yale School of Management. These data are collected in collaboration with Fumiko Kon-Ya and Yoshiro Tsutsui of Japan. Some of our earlier results are also noteworthy: Results of Surveys about Stock Market Speculation 12/99. Stock market data used in my book, Irrational Exuberance [Princeton University Press 2000, Broadway Books 2001, 2nd ed., 2005] are available for download, U.S. Stock Markets 1871-Present and CAPE Ratio. This data set consists of monthly stock price, dividends, and earnings data and the consumer price index (to allow conversion to real values), all starting January 1871. The price, dividend, and earnings series are from the same sources as described in Chapter 26 of my earlier book (Market Volatility [Cambridge, MA: MIT Press, 1989]), although now I use monthly data, rather than annual data. Monthly dividend and earnings data are computed from the S&P four-quarter totals for the quarter since 1926, with linear interpolation to monthly figures. Dividend and earnings data before 1926 are from Cowles and associates (Common Stock Indexes, 2nd ed. [Bloomington, Ind.: Principia Press, 1939]), interpolated from annual data. Stock price data are monthly averages of daily closing prices through January 2000, the last month available as this book goes to press. The CPI-U (Consumer Price Index-All Urban Consumers) published by the U.S. Bureau of Labor Statistics begins in 1913; for years before 1913 1 spliced to the CPI Warren and Pearson's price index, by multiplying it by the ratio of the indexes in January 1913. December 1999 and January 2000 values for the CPI-Uare extrapolated. See George F. Warren and Frank A. Pearson, Gold and Prices (New York: John Wiley and Sons, 1935). Data are from their Table 1, pp. 11–14. As of September 2018, I now also include an alternative version of CAPE that is somewhat different. As documented in Bunn & Shiller (2014) and Jivraj and Shiller (2017), changes in corporate payout policy (i. e. share repurchases rather than dividends have now become a dominant approach in the United States for cash distribution to shareholders) may affect the level of the CAPE ratio through changing the growth rate of earnings per share. This subsequently may affect the average of the real earnings per share used in the CAPE ratio. A total return CAPE corrects for this bias through reinvesting dividends into the price index and appropriately scaling the earnings per share. The U.S. Home Price Indices, which Karl Case and I originally developed, which were produced 1991-2002 by our firm Case Shiller Weiss, Inc. under the direction of Allan Weiss, are now produced by CoreLogic under the direction of Linda Ladner and David Stiff. Many of these price indices, including twenty cities, low- medium- and high- tier home price indices, condominium indices, and a U.S. national index, are now published as the S&P/CoreLogic/Case-Shiller Home Price Indices by Standard & Poor's, and are available to the public on Standard & Poor's web site. Eleven of these indices are traded at the Chicago Mercantile Exchange. Information on these futures markets can be found at Historical housing market data used in my book, Irrational Exuberance [Princeton University Press 2000, Broadway Books 2001, 2nd edition, 2005], showing home prices since 1890 are available for download and updated monthly: US Home Prices 1890-Present. An annual series is also available here, long term stock, bond, interest rate and consumption data since 1871 that I in collaboration with several colleagues collected to examine long term historical trends in the US market. This is Chapter 26 from my book Market Volatility, 1989, and revised and updated. Karl Case and I have collected some data sets on prices of houses, which show for a sample of homes that sold twice between 1970 and 1986 in each of four cities Atlanta, Chicago, Dallas, and Oakland, the first sale price, second sale price, first sale date, and second sale date. These data are somewhat outdated, and of interest only to researchers.

* Estimates published for 2022. Total return = price growth + dividend and interest income. The example does not reflect the effects of taxes or fees. Numbers rounded to the nearest one-tenth of a percentage point. Benchmark indexes: S&P 500 Total Return Index (U.S. Large-Company Stocks), Russell 2000 Total Return Index (U.S. Small-Company Stocks), MSCI EAFE Net Return Index (International Large-Company Stocks), Bloomberg Barclays U.S. Aggregate Bond Total Return Index (U.S. Investment-Grade Bonds), and FTSE 3-Month U.S. Treasury Bill Index (Cash Equivalent). Note: U.S. Investment-Grade Bond return calculation starts in 1/30/1976 due to lack of prior data. Past performance is no guarantee of future results.

Stocks. Stocks slumped worldwide during 2022, with the S&P 500 index down almost 20% by year end. Typically, a steep market decline would mean higher expected returns due to a lower and more attractive starting valuation. However, a lower market price isn't the only factor currently at play in the markets. Equity valuations are also driven by expected cash flows (i.e., earnings and dividends). Abrupt policy changes from central banks, going from supporting nominal growth at all costs to focusing on reining in inflation, have slowed economic growth expectations. The impact of all this feeds into our valuation model, suggesting that any potential attractiveness due to lower stock prices is offset by a more tepid earnings growth outlook. Note that while absolute return expectations remain similar to last year, the components that make up those returns have changed drastically. For example, expected equity risk premium, which indicates when stocks are expensive or cheap relative to a "risk-free" investment (such as a Treasury security), has steeply declined. This means that while stocks still tend to have higher expected returns than bonds, the spread has tightened greatly. 041b061a72


Welcome to the group! You can connect with other members, ge...


  • Janine Carpenter
  • Jose Roberts
    Jose Roberts
  • Leo Rivera
    Leo Rivera
  • Mateo Thomas
    Mateo Thomas
  • Kasim Dmitriev
    Kasim Dmitriev
bottom of page