Factor Investing - Empowering investors to achieve better outcomes

Factor Investing - Empowering investors to achieve better outcomes

Factors are often key drivers of portfolio returns – Factor Investing is now mainstream and being embedded throughout the investment process.

MSCI helps clients build, implement and measure factor based strategies through consistent and transparent factor frameworks.

  • MSCI has been a leader in the application of factors for 40+ years
  • MSCI, beginning with Barra, invented a common language to explain risk and return through the lens of factors
    • “By 1976 Barra (now part of MSCI) had created sophisticated models that predicted stock returns based on many different risk factors” – Bionic Beta wins the 1970’s (Forbes, Feb 2014)
       

Explore the MSCI Global Factor Framework interactive below which provides transparency in to our Global Equity Factor Model – Long Term Horizon (GEMLT):


MSCI Graphics

Momentum

Explains common variation in stock returns based on their performance over the trailing 12 months

Relative Strength

Non-lagged Relative Strength is first computed from the returns from the trailing 252 days

Historical Alpha

Non-lagged values of historical alpha are computed by the time-series regression

Dividend Yield

Captures differences in stock returns attributable to stock's trailing 12-month and predicted dividend-to-price ratios

Reported Dividend-
to-Price

Dividing the trailing 12-month dividend per share by the price at the last month end

Forecast Dividend-
to-Price

Dividing the 12-month forward-looking dividend per share (DPS) by the 
current price

Leverage

Captures common variation in stock returns due to differences in the level of company leverage

Investment Quality

Combination of measures that capture common variation in stock returns of companies experiencing rapid growth or contraction

Earnings Variability

Explains stock return differences due to variability in earnings and cash flows

Earnings Quality

Explains stock return differences due to uncertainty around company operating fundamentals and accrual components of earnings

Profitability

Combination of profitability measures that characterizes efficiency of a firm's 
operations and total activities

Debt-to-Assets

Current liabilities plus long-term debt divided by book value of total assets

Book Leverage

Book Value of Common Equity: Book value of preferred equity and book value of long-term debt

Market Leverage

Market Value of Common Equity: Book value of preferred equity and book value of long-term debt

Asset Growth

Annual reported company assets are regressed against time over the past five fiscal years

Capital Expenditure Growth

Annual reported company capital expenditures are regressed against time over the past five fiscal years

Issuance Growth

Annual reported company number of shares outstanding regressed against time over the past five fiscal years

Variability in Sales

Standard deviation of company reported annual sales of the last five fiscal years, divided by the average annual sales

Variability in Earnings

Standard deviation of company reported annual earnings over the last five fiscal years, divided by the average 
annual earnings

Variability in Cash Flow

Standard deviation of company annual cash flows of the last five fiscal years, divided by the average annual cash flow

Variation in Predicted EPS

Dividing the standard deviation of 12-month forward-looking earnings per share (EPS) estimates by the current price

Cash Earnings to Earnings

Difference between cash-earnings-to-price and earnings-to-price

Accruals - Balance Sheet Statement

Change in current assets net of cash, and less change in current liabilities net of short-term debt, less depreciation, standardized by total assets

Accruals C/F - Statement

Negative change in accounts receivable, inventories, accounts payable, accrued taxes, and other current assets/liabilities, less depreciation, standardized 
by total assets

Asset Turnover

Sales divided by total assets

Profitability

Sales minus cost of goods sold divided by total assets

Gross Margin

Sales minus cost of goods sold divided by sales

Return on Assets

Earnings divided by total assets

Liquidity

Captures common variations in stock returns due to the amount of relative trading and differences in the impact of trading on stock returns

Monthly Share Turnover

Log of the share turnover over 
the previous month

Quarterly Share Turnover

Log of the share turnover over 
the previous quarter

Annual Share Turnover

Log of the share turnover over 
the previous year

Annualized Traded Value Ratio

Daily traded value ratio (DTVR) is the volume divided by the number of shares

Residual Volatility

Captures relative volatility in stock returns. Consists of three descriptors: volatility of daily excess returns, volatility of daily residual returns, and cumulative range of the stock over the last 12 months

Beta

Explains common variations in stock returns due to different stock sensitivities to market or systematic risk that cannot be explained by the World factor

Historical Sigma

Volatility of the residual returns from historical 
beta regression

Daily Standard Deviation

Volatility of excess returns over past year

Cumulative Range

Cumulative excess log return over past specified months

Historical Beta

Slope coefficient from a time-series regression of stock excess returns, against the cap-weighted 
excess returns

Growth

Measures company growth prospects using sales growth and earnings growth over trailing five years and predicted earnings growth

Sales per Share Growth Rate

Annual reported sales per share are regressed against time over the past five fiscal years

Earnings per Share Growth Rate

Annual reported earnings per share are regressed against time over the past five fiscal years

Predicted Long-term Growth

Long-term (3-5 years) earnings growth forecasted by analysts

Book-to-Price

Calculated as the last reported book value of common equity divided by current market capitalization

Earnings Yield

Describes stock return differences due to various ratios of the company's earnings relative to its price

Long-Term Reversal

Explains common variation in returns related to a long-term (five years ex. recent thirteen months) stock price behavior

Book-to-Price

Last reported book value of common equity divided by current market capitalization

Reported Earnings-to-Price

Dividing the trailing 12-month earnings by the current market capitalization

Analyst-Predicted Earnings-to-Price

Dividing the 12-month forward-looking earnings by the current 
market capitalization

Cash Earnings-to-Price

Dividing the cash earnings of the previous fiscal year by the current 
market capitalization

Enterprise Multiple (EBITDA to EV)

Dividing the earnings before interest and taxes of the previous fiscal year by the current enterprise value (EV)

Long-Term Relative Strength

Returns analyzed from the trailing 
four years

Long-Term Historical Alpha

Returns analyzed as the intercept term from a CAPM regression over the past four years

Mid Capitalization

Captures the payoff to the Size factor across the market-cap spectrum

Size

Captures the return differences between large-cap stocks and small-cap stocks

Cube of Size

Standardized Size exposure (log of market capitalization) is cubed following orthogonalized, winsorized and standardized

Log of Market Capitalization

Natural logarithm of market capitalization

Factor descriptions
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    Our Research differentiates MSCI from the rest

     

    Our Research differentiates MSCI from the rest

    One of MSCI’s key competitive advantages is our research. We employ one of the largest research teams in our industry – which contains extensive academic credentials with broad financial and investment industry experience. We are dedicated to building the world’s finest index, portfolio construction and risk management tools – working on both developing new factor models and methodologies and enhancing existing ones.

    MSCI‘s rich factor hierarchy is built from the ground-up from aggregated fundamental and technical data.  This is based on extensive research to identify common drivers of risk and return and back tested for relevance across markets and investment strategies. Our in-house team of more than 150 researchers blends academic research with practical experience and is continuously innovating to introduce new factors into risk models.