Ibbotson & Associates is a renowned provider of comprehensive historical data for various financial investments. The firm is well-known for its annual publication, Stocks, Bonds, Bills & Inflation (SBBI) Yearbook, which is a key resource for investors and financial analysts.
Historical Context
Formation and Growth
Ibbotson & Associates was founded in 1977 by Roger G. Ibbotson, a professor of finance at Yale School of Management. The firm grew quickly by providing unparalleled historical data, which became indispensable for academic research, financial analysis, and practical investment strategies.
Acquisition and Current Status
In 2006, Ibbotson & Associates was acquired by Morningstar, Inc., further expanding the reach and integration of its robust financial datasets into Morningstar’s offerings.
Key Publications
Stocks, Bonds, Bills & Inflation (SBBI) Yearbook
The SBBI Yearbook is the flagship publication of Ibbotson & Associates. This comprehensive resource provides detailed historical data on:
- Stocks: Performance metrics for large-cap, mid-cap, small-cap, and international stocks.
- Bonds: Data on corporate bonds, government bonds, and high-yield bonds.
- Bills: Yields and performance of U.S. Treasury bills.
- Inflation: Historical Consumer Price Index (CPI) data.
Importance and Use
The SBBI Yearbook is essential for:
- Strategic Planning: Used by financial planners to develop long-term investment strategies.
- Benchmarking: Establishing performance benchmarks for fund managers.
- Educational Purposes: A key resource for academic courses in finance and economics.
Types of Historical Data
- Equity Data: Long-term returns for various classes of stocks.
- Fixed Income Data: Historical yields and returns for different types of bonds.
- Short-Term Investments: Performance data for Treasury bills and other short-term instruments.
- Inflation Data: Historical CPI figures essential for understanding real returns on investments.
Analytical Applications
Portfolio Optimization
Leveraging the historical data provided by Ibbotson & Associates, investors can optimize their portfolios by balancing risk and return based on historical performance metrics.
Risk Analysis
Using historical volatility and other risk measures from SBBI data, analysts can better understand the risk profile of different asset classes and adjust their investment strategies accordingly.
Comparisons with Other Data Providers
Provider | Primary Focus | Notable Publications |
---|---|---|
Ibbotson & Associates | Historical performance data | SBBI Yearbook |
CRSP | Stock market data | CRSP Database |
Bloomberg | Real-time and historical data | Bloomberg Terminal |
Thomson Reuters | Financial market data | Eikon, Datastream |
Related Terms
- Capital Market Line (CML): The line on the risk-return graph that connects the risk-free rate with the market portfolio. CML is used to illustrate the risk-return trade-off in portfolio theory.
- Efficient Frontier: A set of optimal portfolios that offer the highest expected return for a defined level of risk. The historical data provided by Ibbotson can help plot the Efficient Frontier.
- Consumer Price Index (CPI): A measure that examines the weighted average of prices of a basket of consumer goods and services. CPI is critical in calculating real returns after inflation, an area where SBBI data is extensively used.
FAQs
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References
- Ibbotson, R. G., & Associates. (Annual). Stocks, Bonds, Bills & Inflation (SBBI) Yearbook. Morningstar, Inc.
- Morningstar, Inc. (2023). Company Profile and Data.
- Financial Industry Regulatory Authority (FINRA). (2023). Using Historical Data for Investment Analysis.
Summary
Ibbotson & Associates has established itself as a vital source of historical data in the financial industry. Through its flagship publication, the SBBI Yearbook, the firm offers comprehensive data critical for investment analysis, portfolio optimization, and academic research. Now part of Morningstar, Ibbotson continues to serve as an essential resource for financial data, helping investors and analysts make informed decisions based on historical performance metrics.