Abstract
Individual investors must be compensated for bearing risk. It seems intuitive to the reader that there should be a direct linkage between the risk of a security and its rate of return. We are interested in securing the maximum return for a given level of risk, or the minimum risk for a given level of return. The concept of such risk-return analysis is the efficient frontier of Harry Markowitz (1952, 1959). If an investor can invest in a government security, which is backed by the taxing power of the federal government, then that government security is relatively risk-free. The 90-day Treasury bill rate is used as the basic risk-free rate. Supposedly, the taxing power of the federal government eliminates default risk of government debt issues. A liquidity premium is paid for longer-term maturities, due to the increasing level of interest rate risk. Investors are paid interest payments, as determined by the bond’s coupon rate, and may earn market price appreciation on longer bonds if market rates fall or losses if market rates rise. During the period from 1928 to 2017, Treasury bills returned 3.44%, longer-term (10-year Treasury) government bonds earned 5.15%, and corporate stocks, as measured by the stock of the S&P 500 index, earned 11.53% annually, as measured by the mean annual return. The annualized standard deviations are 3.06%, 7.72%, and 19.66%, respectively, for Treasury bills, Treasury bonds, and S&P stocks. The risk-return trade-off has been relevant for the 1928–2017 period. The correlation coefficient between annual returns for Treasury bills and the S&P 500 stock returns were −0.030 for the 1928–2017 time period. This was essentially no correlation between Treasury bills and large stocks, as measured by the S&P 500 stock. The correlation coefficient between annual returns for Treasury bonds and the S&P 500 stock returns was 0.30 for the 1928–2017 time period. Why do corporate stocks offer investors higher returns for stocks than bonds?
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Ibbottson and Sinquefield, Stocks, Bonds, and Bills Yearbook, 2018.
- 2.
Guerard and Schwartz (2007) examined three widely held stocks: DuPont, Dominion Resources, and IBM, for 1994–2003 period in our first edition. The pricing data was taken from the Standard & Poor’s Stock Guide . The S &P Stock Guide presents high and low prices during the calendar year. An average price (AvgP) was be calculated by simply summing the high and low prices and dividing by two.
- 3.
One generally needs 30 observations for normality of residuals to occur, from the central limit theorem of statistics.
References
Asness, C., Moskowitz, T., & Pedersen, L. (2013). Value and momentum everywhere. Journal of Finance, 68, 929–985.
Barillas, F., & Shanken, J. (2018). Comparing asset pricing models. Journal of Finance, 73, 715–755.
Basu, S. (1977). Investment performance of common stocks in relation to their price earnings ratios: A test of market efficiency. Journal of Finance, 32, 663–682.
Baumol, W. J. (1963). An expected gain-confidence limit criteria for portfolio selection. Management Science, 10, 174–182.
Beheshti, B. (2015). A note on the integration of the alpha alignment factor and earnings forecasting models in producing more efficient Markowitz frontiers. International Journal of Forecasting, 31, 582–585.
Beaton, A. E., & Tukey, J. W. (1974). The fitting of power series, meaning polynomials, illustrated on bank-spectroscopic data. Technometrics, 16, 147–185.
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980a). Regression diagnostics: Identifying influential data and sources of collinearity. Wiley. Chapter 2.
Blin, J, S. Bender, & Guerard, J.B., Jr. 1997. Earnings forecasts, revisions and momentum in the Estimation of efficient market-neutral Japanese and U.S. portfolios. In A. Chen (Ed.), Research in finance (Vol. 15).
Black, F., Jensen, M. C., & Scholes, M. (1972). The capital asset pricing model: some empirical results. In M. C. Jensen (Ed.), Studies in the theory of capital markets. Praeger Publishers.
Bloch, M., Guerard, J. B., Jr., Markowitz, H. M., Todd, P., & Xu, G.-L. (1993). A comparison of some aspects of the U.S. and Japanese equity markets. Japan and the World Economy, 5, 3–26.
Borkovec, M., Domowitz, I., Kiernan, B., & Serbin, V. (2010). Portfolio optimization and the cost of trading. Journal of Investing, 19, 63–76.
Brennan, T. J., & Lo, A. (2010). Impossible frontiers. Management Science, 56, 905–923.
Bruce, B., & Epstein, C. B. (1994). The handbook of corporate earnings analysis. Probus Publishing Company.
Brush. J. (2001). Price momentum: A twenty-year research effort. Columbine Newsletter.
Brush, J., & Boles, K. E. (1983). The predictive power of relative strength and CAPM. Journal of Portfolio Management.
Chan, L. K. C., Hamao, Y., & Lakonishok, J. (1991). Fundamentals and stock returns in Japan. Journal of Finance, 46, 1739–1764.
Chu, Y., Hirschleifer, D., & Ma, L. (2017). The casual effect of limits on arbitrage on asset pricing models. NBER Working Paper 24144. http://www.nber.org/papers/w24144
Connor, G., Goldberg, L., & Korajczyk, R. A. (2010). Portfolio risk analysis. Princeton University Press.
Conrad, J., & Kaul, G. (1989). Mean reversion in short-horizon expected returns. Review of Financial Studies, 2, 225–240.
Conrad, J., & Kaul, G. (1991). Components of short-horizon individual security returns. Journal of Financial Economics, 29, 365–384.
Conrad, J., & Kaul, G. (1993). Long-term market overreaction or biases in compound returns. Journal of Finance, 59, 39–63.
Conrad, J., & Kaul, G. (1998). An anatomy of trading strategies. Review of Financial Studies, 11, 489–519.
Connor, G., Goldberg, L., & Korajczyk, R. A. (2010). Portfolio risk analysis. Princeton University Press.
Cootner, P. (1964). The random character of stock market prices. MIT Press.
Dhrymes, P. J. (2017). Introductory econometrics (2nd ed.). Springer.
Dimson, E. (1988). Stock market anomalies. Cambridge University Press.
Domowitz, I., & Moghe, A. (2018). Donuts: A picture of optimization applied to fundamental portfolios. Journal of Portfolio Management, 44, 103–113.
Dremen, D. (1979). Contrarian investment strategy. Random House.
Dremen, D. (1998). Contrarian investment strategies: The next generation. Simon and Schuster.
Elton, E. J., & Gruber, M. J. (1972). Security analysis and portfolio analysis. Prentice-Hall, Inc.
Elton, E. J., & Gruber, M. J. (1980). Modern portfolio theory and investment analysis. Wiley.
Elton, E. J., Gruber, M. J., & Gultekin, M. (1981). Expectations and share prices. Management Science, 27, 975–987.
Elton, E. J., Gruber, M. J., & Gultekin, M. (1983). Professional expectations: Accuracy and diagnosis of errors. Journal of Financial and Quantitative Analysis.
Elton, E. J., Gruber, M. J., Brown, S. J., & Goetzman, W. N. (2007). Modern portfolio theory and investment analysis (7th ed.). Wiley.
Fama, E. F. (1965). Portfolio analysis in a stable Paretian market. Management Science, 11, 404–419.
Fama, E. F. (1976). Foundations of finance. Basis Books.
Fama, E. F. (1991). Efficient capital markets II. Journal of Finance, 46, 1575–1617.
Fama, E. F., & French, K. R. (1992). Cross-sectional variation in expected stock returns. Journal of Finance, 47, 427–465.
Fama, E. F., & French, K. R. (1995). Size and the book-to-market factors in earnings and returns. Journal of Finance, 50, 131–155.
Fama, E. F., & French, K. R. (2008). Dissecting anomalies. Journal of Finance, 63, 1653–1678.
Fama, E. F., & MacBeth, J. D. (1973). Risk, return, and equilibrium: Empirical tests. Journal of Political Economy, 81, 607–636.
Graham, B. (1973). The intelligent investor. Harper and Row.
Graham, B., & Dodd, D. (1934). Security analysis: Principles and technique (1st ed.). McGraw-Hill Book Company.
Graham, B., Dodd, D., & Cottle, S. (1962). Security analysis: Principles and technique (4th ed.). McGraw-Hill Book Company.
Grinold, R., & Kahn, R. (1999). Active portfolio management. McGraw-Hill/Irwin.
Guerard, J.B., Jr. & Stone, B.K. 1992. Composite forecasting of annual corporate earnings. In A. Chen (Ed.), Research in finance (Vol. 10)
Guerard, J. B., Jr., Gultekin, M., & Stone, B. K. (1997). The role of fundamental data and analysts’ earnings breadth, forecasts, and revisions in the creation of efficient portfolios. In A. Chen (Ed.), Research in finance (Vol. 15).
Guerard, J. B., Jr. & Mark, A. (2003). The optimization of efficient portfolios: The case for an R&D quadratic term. In A. Chen (Ed.), Research in finance (Vol. 20).
Guerard, J. B., Jr., Gillam, R. A., Markowitz, H., Xu, G., Deng, S., & Wang, E. (2018). Data mining corrections testing in Chinese stocks. Interfaces, 48, 108–120.
Guerard, J. B., Jr. (2012). Global earnings forecasting efficiency. In J. Kensinger (Ed.), Research in finance 28. JAI Press.
Guerard, J. B., Jr. (2016). Investing in global markets: Big data and applications of robust regression. Frontiers in Applied Mathematics and Statistics, 1, 1–16.
Guerard, J. B., Jr., & Mark, A. (2020). Earnings forecasts and revisions, price momentum, and fundamental data: Further explorations in financial anomalies. In C. F. Lee (Ed.), Handbook of financial econometrics. World Scientific Publishers.
Guerard, J. B., Jr., & Stone, B. K. (1992). Composite forecasting of annual corporate earnings. In A. Chen (Ed.), Research in finance 10. JAI Press.
Guerard, J. B., Jr., Gultekin, M., & Stone, B. K. (1997). The role of fundamental data and analysts’ earnings breadth, forecasts, and revisions in the creation of efficient portfolios. In A. Chen (Ed.), Research in finance 15. JAI Press.
Guerard, J. B., Jr., Xu, G., & Gultekin, M. N. (2012). Investing with momentum: The past, present, and future. Journal of Investing, 21, 68–80.
Guerard, J. B., Jr., Rachev, R. T., & Shao, B. (2013). Efficient global portfolios: Big data and investment universes. IBM Journal of Research and Development, 57(5), Paper 11.
Guerard, J. B., Jr., Markowitz, H. M., & Xu, G. (2014). The role of effective corporate decisions in the creation of efficient portfolios. IBM Journal of Research and Development, 58(4) Paper 11.
Guerard, J. B., Jr., Markowitz, H. M., & Xu, G. (2015). Earnings forecasting in a global stock selection model and efficient portfolio construction and management. International Journal of Forecasting, 31, 550–560.
Gunst, R. F., Webster, J. T., & Mason, R. L. (1976). A comparison of least squares and latent root regression estimators. Technometrics, 18, 75–83.
Guerard, J. B., Jr., & Markowitz, H. M. (2018). The existence and persistence of financial anomalies: What have you done for me lately? Financial Planning Review. https://doi.org/10.1002/cfp2.1022
Harvey, C. R. (2017). Presidential address: The scientific outlook in financial economics. Journal of Finance, 72, 1399–1440.
Harvey, C. R., Lin, Y., & Zhu, H. (2016). The cross-section of expected returns. Review of Financial Studies, 291, 5–69.
Hastie, T., Tibshirani, R., & Friedman, J. (2016). The elements of statistical learning: Data mining, inference, and prediction (2nd ed., 11th printing). Springer.
Haugen, R. A., & Baker, N. (1996). Communality in the determinants of expected results. Journal of Financial Economics, 41, 401–440.
Kuhn, M., & Johnson, K. (2013). Applied predictive Modeling. Springer.
Haugen, R., & Baker, N. (2010). Case closed. In J. B. Guerard (Ed.), The handbook of portfolio construction: Contemporary applications of Markowitz techniques. Springer.
Hawkins, E. H., Chamberlain, S. C., & Daniel, W. E. (1984). Earnings expectations and security prices. Financial Analysts Journal, 405, 24–38.
Hirshleifer, D. (2001). Investor psychology and asset pricing. Journal of Finance, 64, 1533–1597.
Hirschleifer, D., Hon, K., & Teoh, S. H. (2012). The accrual anomaly: Risk or mispricing? Management Science, 57, 1–16.
Hirschleifer, D. (2014). Behavioral finance. Annual Review of Economics, 7. Submitted. https://doi.org/10.1146/annurev-financial-092214-043752.
Hochbaum, D. S. 2018. Machine learning and data mining with combinatorial optimization algorithms. INFORMS Tut Orials in Operations Research. Published online: 19 October 2018, pp. 109–129.
Hong, H., & Kubik, J. D. (2003). Analyzing the analysts: Career concerns and biased earnings forecasts. Journal of Finance, 58(2003), 313–351.
Hong, H., Kubik, J. D., & Solomon, A. (2000). Security analysts’ career concerns and the herding of earnings forecasts. RAND Journal of Economics, 31, 121–144.
ITG. (2007). ITG ACE – Agency cost estimator: A model description.
Jacobs, B. I., & Levy, K. (1988). Disentangling equity return regularities: New insights and investment opportunities. Financial Analysts Journal, 44, 18–43.
Jacobs, B. I., & Levy, K. (2017). Equity management: The art and science of modern quantitative investing (2nd ed.). McGraw-Hill.
Jagadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, 48, 65–91.
Kim, H. K., & Swanson, N. R. (2018). Mining big data using parsimonious factor, machine learning, variable selection, and shrinkage methods. International Journal of Forecasting, 34, 339–334.
Keane, M. P., & Runkle., D.E. (1998). Are financial analysts’ forecasts of corporate profits rational? The Journal of Political Economy, 106, 768–805.
Konno, H., & Yamazaki, H. (1991). Mean – Absolute deviation portfolio optimization and its application to the Toyko stock market. Management Science, 37, 519–537.
Korajczyk, R. A., & Sadka, R. (2004). Are momentum profits robust to trading costs? Journal of Finance, 59, 1039–1082.
Kuhn, M., & Johnson, K. (2013). Applied predictive modeling. Springer.
Lakonishok, J., Shleifer, A., & Vishny, R. W. (1994). Contrarian investment, extrapolation and risk. Journal of Finance, 49, 1541–1578.
Lakonishok, J., Shleifer, A., & Vishny, R. W. (1994). Contrarian investment, extrapolation and risk. Journal of Finance, 49, 1541–1578.
Latane, H. A. (1959). Criteria for choice among risky ventures. Journal of Political Economy, 67, 144–155.
Leamer, E. E. (1972). A class of informative priors and distributed lag analysis. Econometrica, 40, 1059–1081.
Leamer, E. E. (1973). Multicollinearity: A Bayesian interpretation. Review of Economics and Statistics, 55, 371–380.
Leamer, E. E. (1978). Specification searches: Ad hoc inference with nonexperimental data. Wiley.
Leamer, E. E. (2012). The context matters: Comment on Jerome H. Friedman, fast sparse regression and classification. International Symposium of Forecasting, 28, 741–748.
Lee, J. H., & Stefek, D. (2008). Do risk factors eat alphas? Journal of Portfolio Management, 344, 12–25.
Lesmond, D. A., Schill, M. J., & Zhou, C. (2004). The illusory nature of trading profits. Journal of Financial Economics, 71, 349–380.
Levy, H. (1999). Introduction to investments (2nd ed.). South-Western College Publishing.
Levy, H., & Duchin, R. (2010). Markowitz’s mean-variance rule and the Talmudic diversification recommendation’. In J. B. Guerard (Ed.), The handbook of portfolio construction: Contemporary applications of Markowitz techniques. Springer.
Levy, M. (2012). The capital asset pricing model in the 21st century. Cambridge University Press.
Lin, D., Foster, D. P., & Ungar, L. H. (2011). VIF regression: A fast regression algorithm for large data. Journal of the American Statistical Association, 106, 232–247.
Lintner, J. (1965). The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets. Review of Economics and Statistics, 47, 51–68.
Lo, A. W., Mamaysky, H., & Wang, J. (2000). Foundations of technical analysis: Computational algorithms, statistical inference, and empirical implementation. Journal of Finance, 60(2000), 1705–1764.
Lo, A. (2017). Adaptive markets. Princeton University Press.
Malkiel, B. (1996). A random walk down wall street (6th ed.). W.W. Norton and Company.
Markowitz, H. M. (1952). Portfolio selection. Journal of Finance, 7, 77–91.
Markowitz, H. M. (1959). Portfolio selection: Efficient diversification of investment (Cowles Foundation monograph no. 16). Wiley.
Markowitz, H. M. (1976). Investment in the long run: New evidence for an old rule. Journal of Finance, 31, 1273–1286.
Markowitz, H. (1987). Mean-variance analysis in portfolio choice and capital markets. Basil Blackwell.
Markowitz, H. M. (2013). Risk-Return Analysis. McGraw-Hill.
Markowitz, H. M., & Xu, G. L. (1994). Data mining corrections. Journal of Portfolio Management, 21, 60–69.
Markowitz, H. M., Guerard, Jr., J. B., Xu, G., & Beheshti, B. (2021, forthcoming). Financial anomalies in portfolio construction and management. The Journal of Portfolio Management.
Maronna, R. A., Martin, R. D., & Yohai, V. J. (2006). Robust statistics: Theory and methods. Wiley.
Maronna, R. A., Martin, R. D., Yohai, V. J., & Salibian-Barrera, M. (2019a). Robust statistics; theory and methods with R. Springer.
Menchero, J., Morozov, A., & Shepard, P. (2010). Global equity modeling. In J. B. Guerard (Ed.), The handbook of portfolio construction: Contemporary applications of Markowitz techniques. Springer.
Miller, W., Xu, G., & Guerard, J. B., Jr. (2014). Portfolio construction and management in the BARRA Aegis system: A case study using the USER data. Journal of Investing, 23, 111–120.
Mossin, J. (1966). Equilibrium in a capital asset market. Econometrica, 34, 768–783.
Mossin, J. (1973). Theory of financial markets. Prentice-Hall.
Mueller, P. (1993). Empirical tests of biases in equity portfolio optimization. In S. A. Zenios (Ed.), Financial Optimization. Cambridge University Press.
Ramnath, S., Rock, S., & Shane, P. (2008). The financial analyst forecasting literature: A taxonomy with suggestions for further research. International Journal of Forecasting, 24, 34–75.
Roll, R. (1979). Testing a portfolio for ex ante mean/variance efficiency. In E. Elton & M. J. Gruber (Eds.), Portfolio theory: 25 years after. North-Holland Publishing Company.
Rosenberg, B. (1974). Extra-market components of covariance in security returns. Journal of Financial and Quantitative Analysis, 9, 263–274.
Rosenberg, B., & Marathe, V. (1979). In H. Levy (Ed.), Tests of capital asset pricing hypotheses (Vol. 1). Research in finance, JAI Press.
Rosenberg, B., & McKibben. (1973). The reduction of systematic and specific risk in common stocks. Journal of Financial and Quantitative Analysis, 8, 317–333.
Ross, S. A. (1976). The arbitrage theory of capital asset pricing. Journal of Economic Theory, 13, 341–360.
Ross, S. A., & Roll, R. (1980). An empirical investigation of the arbitrage pricing theory. Journal of Finance, 352, 1071–1103.
Rudd, A., & Rosenberg, B. (1979). Realistic portfolio optimization. In E. Elton & M. J. Gruber (Eds.), Portfolio theory: 25 years after. North-Holland Publishing Company.
Rudd, A., & Clasing, H. K. (1982). Modern portfolio theory: The principles of investment management. Dow-Jones Irwin.
Sharpe, W. F. (1963). A simplified model for portfolio analysis. Management Science, 9, 277–293.
Sharpe, W. F. (1964). Capital asset prices: a theory of market equilibrium under conditions of risk. Journal of Finance, 19, 425–442.
Sharpe, W. F. (1971). Mean-absolute deviation characteristic lines for securities and portfolios. A simplified model for portfolio analysis. Management Science, 18, B1–B13.
Sharpe, W. F. (2012). William F. Sharpe: Selected works. World Scientific Publishing Company.
Stone, B. K., & Guerard, J. B., Jr. (2010). Methodologies for isolating and assessing the portfolio performance potential of stock market return forecast models with an illustration. In J. B. Guerard (Ed.), The handbook of portfolio construction: Contemporary applications of Markowitz techniques. Springer.
Subramanian, S., Suzuki, D., Makedon, A., & Carey, J. (2013, March). A PM’s guide to stock picking. Bank of America Merrill Lynch.
Wheeler, L. B. (1994). Changes in consensus earnings estimates and their impact on stock returns. In B. Bruce & C. B. Epstein (Eds.), The handbook of corporate earnings analysis. Probus.
Williams, J. B. (1938). The theory of investment value. Harvard University Press.
Author information
Authors and Affiliations
Appendices
Appendices
14.1.1 Appendix A: The Three-Asset Case
Let us now examine a three-asset portfolio construction process using IBM, Dominion Resources, and BA securities for the 2012–2016 time period.
let x3 = 1 − x1 − x2
Let’s assume
Asset | Security |
---|---|
1 | IBM |
2 3 | D BA |
The optimal portfolio weights involve selling IBM short and going long on DuPont and Dominion. How does the portfolio using optimal weights compare to an equally weighted portfolio of the three assets? (Table 14.9)
The equally weighted portfolio has an expected return of 14.9% and a 13.42% standard deviation.
The optimally weighted portfolio has an expected return of
The optimally weighted portfolio has an expected return of 10.06% and a standard deviation of 9.43%. Portfolio risk can be significantly reduced through diversification.
14.1.2 Appendix B: ICs
-
Time Period: 1/31/01 to 5/31/2021
-
Various U.S., non-US, and global universes
Universe | Factor | Mean | Std | T-stat |
---|---|---|---|---|
ACW | CTEF | 0.040 | 0.080 | 7.67 |
ACW | FCF_YLD | 0.024 | 0.058 | 6.44 |
ACW | BR2 | 0.029 | 0.080 | 5.63 |
ACW | BR1 | 0.026 | 0.074 | 5.28 |
ACW | FY2RV3 | 0.033 | 0.100 | 5.00 |
ACW | FY1RV3 | 0.025 | 0.091 | 4.28 |
ACW | ROIC | 0.022 | 0.083 | 4.13 |
ACW | ROE | 0.022 | 0.080 | 4.11 |
ACW | AX_Profitability | 0.019 | 0.071 | 3.94 |
ACW | ROA | 0.020 | 0.090 | 3.32 |
ACW | IBES_EPS_5Y_GTOS | 0.015 | 0.069 | 3.25 |
ACW | CP | 0.018 | 0.087 | 3.14 |
ACW | DP | 0.019 | 0.094 | 3.07 |
ACW | FEP1 | 0.023 | 0.114 | 3.01 |
ACW | IBES_EXP_DY | 0.019 | 0.099 | 3.00 |
ACW | OCFYLD | 0.016 | 0.081 | 2.85 |
ACW | GROSS_MARGIN | 0.015 | 0.078 | 2.84 |
ACW | AX_MidTermMomentum | 0.029 | 0.155 | 2.84 |
ACW | EP | 0.017 | 0.093 | 2.82 |
ACW | RCP | 0.013 | 0.071 | 2.73 |
ACW | FEP2 | 0.024 | 0.133 | 2.69 |
ACW | IBES_FY1_EPS_G | 0.018 | 0.103 | 2.68 |
ACW | IBES_EPS_5Y_GRO | 0.013 | 0.076 | 2.66 |
ACW | IBES_FY1_DPS_G | 0.015 | 0.089 | 2.63 |
ACW | EBITDA_EV | 0.016 | 0.095 | 2.59 |
ACW | Sales_Assets | 0.010 | 0.067 | 2.31 |
ACW | PM121 | 0.023 | 0.164 | 2.10 |
ACW | YOY_EPS_G | 0.008 | 0.069 | 1.78 |
ACW | PM91 | 0.017 | 0.158 | 1.66 |
ACW | REP | 0.007 | 0.066 | 1.59 |
ACW | SALES_EV | 0.008 | 0.080 | 1.50 |
ACW | AX_Growth | 0.007 | 0.075 | 1.48 |
ACW | ES | 0.008 | 0.080 | 1.45 |
ACW | STDEV | 0.015 | 0.186 | 1.25 |
ACW | ALTMANZ | 0.007 | 0.088 | 1.22 |
ACW | PM61 | 0.011 | 0.145 | 1.15 |
ACW | PM31 | 0.009 | 0.119 | 1.11 |
ACW | CURRENT-RATIO | 0.003 | 0.064 | 0.78 |
ACW | AX_Value | 0.005 | 0.114 | 0.74 |
ACW | SP | 0.005 | 0.105 | 0.72 |
ACW | IBES_PTG_RET | 0.005 | 0.136 | 0.61 |
ACW | AX_Size | 0.001 | 0.089 | 0.12 |
ACW | AX_Liquidity | 0.000 | 0.118 | −0.05 |
ACW | YOY_SALES_G | −0.001 | 0.086 | −0.19 |
ACW | IBES_EPS_LTG | −0.002 | 0.079 | −0.35 |
ACW | AX_DividendYield | −0.006 | 0.103 | −0.36 |
ACW | AX_EarningsYield | −0.009 | 0.137 | −0.39 |
ACW | BP | −0.004 | 0.118 | −0.48 |
ACW | RSP | −0.008 | 0.118 | −1.01 |
ACW | Debt_Equity | −0.005 | 0.065 | −1.16 |
ACW | AX_ShortTermMomentum | −0.010 | 0.110 | −1.33 |
ACW | RBP | −0.013 | 0.120 | −1.66 |
ACW | AX_ExRateSensitivity | −0.006 | 0.051 | −1.79 |
ACW | AX_Volatility | −0.022 | 0.173 | −1.91 |
ACW | IBES_FY1_EPS_DISP | −0.018 | 0.136 | −2.04 |
ACW | Percent_Accrual | −0.007 | 0.051 | −2.16 |
ACW | CHG_DEBT | −0.006 | 0.044 | −2.21 |
ACW | AX_Leverage | −0.008 | 0.048 | −2.42 |
ACW | CAPEX_DEP | −0.014 | 0.082 | −2.57 |
ACW | CHG_SHARES | −0.015 | 0.073 | −3.25 |
ACW | IBES_REC_MEAN | −0.016 | 0.071 | −3.41 |
ACW | IBES_REC_MEAN_3M | −0.015 | 0.043 | −5.13 |
ACWXUS | CTEF | 0.043 | 0.080 | 8.14 |
ACWXUS | FCF_YLD | 0.024 | 0.052 | 6.92 |
ACWXUS | BR2 | 0.032 | 0.078 | 6.33 |
ACWXUS | BR1 | 0.028 | 0.073 | 5.94 |
ACWXUS | FY2RV3 | 0.033 | 0.100 | 5.09 |
ACWXUS | IBES_EXP_DY | 0.030 | 0.095 | 4.78 |
ACWXUS | DP | 0.027 | 0.088 | 4.59 |
ACWXUS | FY1RV3 | 0.027 | 0.091 | 4.48 |
ACWXUS | ROIC | 0.024 | 0.089 | 4.17 |
ACWXUS | ROE | 0.023 | 0.087 | 4.05 |
ACWXUS | AX_Profitability | 0.021 | 0.077 | 3.98 |
ACWXUS | CP | 0.020 | 0.081 | 3.72 |
ACWXUS | EP | 0.020 | 0.093 | 3.36 |
ACWXUS | FEP1 | 0.025 | 0.117 | 3.33 |
ACWXUS | EBITDA_EV | 0.019 | 0.089 | 3.30 |
ACWXUS | ROA | 0.020 | 0.094 | 3.26 |
ACWXUS | AX_MidTermMomentum | 0.031 | 0.151 | 3.10 |
ACWXUS | RCP | 0.014 | 0.067 | 3.08 |
ACWXUS | FEP2 | 0.027 | 0.137 | 2.97 |
ACWXUS | IBES_EPS_5Y_GTOS | 0.013 | 0.069 | 2.95 |
ACWXUS | GROSS_MARGIN | 0.013 | 0.076 | 2.65 |
ACWXUS | IBES_FY1_EPS_G | 0.017 | 0.102 | 2.60 |
ACWXUS | IBES_EPS_5Y_GRO | 0.012 | 0.077 | 2.47 |
ACWXUS | PM121 | 0.024 | 0.159 | 2.31 |
ACWXUS | IBES_FY1_DPS_G | 0.014 | 0.090 | 2.30 |
ACWXUS | YOY_EPS_G | 0.010 | 0.072 | 2.14 |
ACWXUS | REP | 0.009 | 0.069 | 1.99 |
ACWXUS | AX_Growth | 0.010 | 0.077 | 1.90 |
ACWXUS | Sales_Assets | 0.008 | 0.069 | 1.82 |
ACWXUS | PM91 | 0.018 | 0.155 | 1.74 |
ACWXUS | SALES_EV | 0.008 | 0.078 | 1.58 |
ACWXUS | STDEV | 0.017 | 0.180 | 1.42 |
ACWXUS | ES | 0.008 | 0.083 | 1.40 |
ACWXUS | ALTMANZ | 0.007 | 0.088 | 1.26 |
ACWXUS | PM61 | 0.011 | 0.146 | 1.14 |
ACWXUS | PM31 | 0.008 | 0.120 | 0.96 |
ACWXUS | AX_Value | 0.007 | 0.118 | 0.94 |
ACWXUS | SP | 0.005 | 0.103 | 0.71 |
ACWXUS | IBES_PTG_RET | 0.005 | 0.130 | 0.63 |
ACWXUS | CURRENT_RATIO | 0.002 | 0.060 | 0.47 |
ACWXUS | AX_Size | 0.002 | 0.081 | 0.31 |
ACWXUS | YOY_SALES_G | 0.000 | 0.089 | 0.07 |
ACWXUS | BP | 0.000 | 0.115 | −0.05 |
ACWXUS | IBES_EPS_LTG | −0.001 | 0.074 | −0.12 |
ACWXUS | AX_DividendYield | −0.005 | 0.093 | −0.28 |
ACWXUS | AX_EarningsYield | −0.016 | 0.134 | −0.68 |
ACWXUS | AX_ExRateSensitivity | −0.003 | 0.055 | −0.74 |
ACWXUS | AX_ShortTermMomentum | −0.008 | 0.112 | −1.06 |
ACWXUS | RSP | −0.009 | 0.117 | −1.13 |
ACWXUS | AX_Liquidity | −0.010 | 0.107 | −1.36 |
ACWXUS | Debt_Equity | −0.007 | 0.073 | −1.39 |
ACWXUS | RBP | −0.012 | 0.123 | −1.44 |
ACWXUS | AX_Volatility | −0.017 | 0.162 | −1.61 |
ACWXUS | CAPEX_DEP | −0.010 | 0.075 | −2.00 |
ACWXUS | Percent_Accrual | −0.007 | 0.056 | −2.03 |
ACWXUS | IBES_FY1_EPS_DISP | −0.017 | 0.113 | −2.26 |
ACWXUS | CHG_SHARES | −0.010 | 0.070 | −2.28 |
ACWXUS | AX_Leverage | −0.009 | 0.050 | −2.64 |
ACWXUS | CHG_DEBT | −0.010 | 0.052 | −2.89 |
ACWXUS | IBES_REC_MEAN | −0.016 | 0.073 | −3.40 |
ACWXUS | IBES_REC_MEAN_3M | −0.018 | 0.045 | −6.09 |
EAFE | CTEF | 0.035 | 0.110 | 4.82 |
EAFE | FCF_YLD | 0.017 | 0.061 | 4.17 |
EAFE | BR2 | 0.025 | 0.102 | 3.75 |
EAFE | FY2RV3 | 0.031 | 0.142 | 3.36 |
EAFE | RCP | 0.016 | 0.080 | 3.04 |
EAFE | AX_Profitability | 0.021 | 0.106 | 2.90 |
EAFE | BR1 | 0.018 | 0.097 | 2.82 |
EAFE | IBES_EXP_DY | 0.027 | 0.147 | 2.79 |
EAFE | DP | 0.024 | 0.133 | 2.73 |
EAFE | ROIC | 0.021 | 0.116 | 2.73 |
EAFE | FY1RV3 | 0.021 | 0.126 | 2.60 |
EAFE | ROE | 0.019 | 0.121 | 2.44 |
EAFE | ROA | 0.019 | 0.124 | 2.34 |
EAFE | CP | 0.014 | 0.097 | 2.22 |
EAFE | FEP1 | 0.021 | 0.150 | 2.16 |
EAFE | IBES_EPS_5Y_GTOS | 0.013 | 0.090 | 2.12 |
EAFE | EP | 0.016 | 0.118 | 2.01 |
EAFE | FEP2 | 0.022 | 0.176 | 1.92 |
EAFE | GROSS_MARGIN | 0.011 | 0.097 | 1.73 |
EAFE | IBES_EPS_5Y_GRO | 0.010 | 0.090 | 1.65 |
EAFE | AX_MidTermMomentum | 0.020 | 0.181 | 1.65 |
EAFE | EBITDA_EV | 0.011 | 0.111 | 1.56 |
EAFE | AX_Growth | 0.009 | 0.095 | 1.42 |
EAFE | ES | 0.010 | 0.108 | 1.41 |
EAFE | IBES_FY1_DPS_G | 0.009 | 0.114 | 1.14 |
EAFE | PM121 | 0.013 | 0.189 | 1.07 |
EAFE | AX_Value | 0.010 | 0.140 | 1.06 |
EAFE | PM31 | 0.011 | 0.157 | 1.03 |
EAFE | IBES_FY1_EPS_G | 0.008 | 0.122 | 1.00 |
EAFE | PM91 | 0.012 | 0.181 | 0.99 |
EAFE | Sales_Assets | 0.006 | 0.092 | 0.96 |
EAFE | STDEV | 0.012 | 0.204 | 0.93 |
EAFE | REP | 0.005 | 0.083 | 0.89 |
EAFE | YOY_EPS_G | 0.004 | 0.087 | 0.77 |
EAFE | SALES_EV | 0.005 | 0.106 | 0.77 |
EAFE | PM61 | 0.007 | 0.175 | 0.63 |
EAFE | IBES_PTG_RET | 0.005 | 0.151 | 0.48 |
EAFE | SP | 0.002 | 0.130 | 0.23 |
EAFE | CURRENT_R | 0.001 | 0.083 | 0.20 |
EAFE | BP | 0.002 | 0.142 | 0.17 |
EAFE | ALTMANZ | 0.001 | 0.099 | 0.12 |
EAFE | RSP | 0.000 | 0.130 | 0.03 |
EAFE | Percent_Accrual | 0.000 | 0.070 | −0.10 |
EAFE | RBP | −0.002 | 0.134 | −0.23 |
EAFE | AX_EarningsYield | −0.008 | 0.168 | −0.28 |
EAFE | YOY_SALES_G | −0.002 | 0.095 | −0.36 |
EAFE | AX_DividendYield | −0.012 | 0.140 | −0.47 |
EAFE | AX_ExRateSensitivity | −0.002 | 0.072 | −0.47 |
EAFE | IBES_FY1_EPS_DISP | −0.005 | 0.123 | −0.64 |
EAFE | CHG_SHARES | −0.005 | 0.092 | −0.81 |
EAFE | AX_Size | −0.005 | 0.101 | −0.83 |
EAFE | IBES_EPS_LTG | −0.005 | 0.081 | −0.92 |
EAFE | Debt_Equity | −0.007 | 0.094 | −1.14 |
EAFE | AX_Liquidity | −0.010 | 0.126 | −1.19 |
EAFE | AX_ShortTermMomentum | −0.012 | 0.136 | −1.22 |
EAFE | CHG_DEBT | −0.004 | 0.054 | −1.23 |
EAFE | AX_Volatility | −0.017 | 0.192 | −1.36 |
EAFE | AX_Leverage | −0.006 | 0.064 | −1.41 |
EAFE | CAPEX_DEP | −0.010 | 0.070 | −2.09 |
EAFE | IBES_REC_MEAN | −0.011 | 0.078 | −2.19 |
EAFE | IBES_REC_MEAN_3M | −0.011 | 0.058 | −3.00 |
Europe | CTEF | 0.037 | 0.123 | 4.60 |
Europe | BR2 | 0.035 | 0.120 | 4.38 |
Europe | BR1 | 0.029 | 0.112 | 3.94 |
Europe | FY2RV3 | 0.034 | 0.151 | 3.43 |
Europe | FY1RV3 | 0.028 | 0.133 | 3.27 |
Europe | ROIC | 0.028 | 0.151 | 2.85 |
Europe | AX_Profitability | 0.027 | 0.148 | 2.61 |
Europe | ROE | 0.022 | 0.143 | 2.36 |
Europe | ROA | 0.026 | 0.167 | 2.36 |
Europe | AX_MidTermMomentum | 0.033 | 0.215 | 2.34 |
Europe | PM121 | 0.033 | 0.215 | 2.33 |
Europe | ES | 0.024 | 0.149 | 2.30 |
Europe | FCF_YLD | 0.011 | 0.073 | 2.28 |
Europe | IBES_EPS_5Y_GRO | 0.018 | 0.121 | 2.23 |
Europe | IBES_FY1_DPS_G | 0.021 | 0.145 | 2.21 |
Europe | PM91 | 0.027 | 0.207 | 1.99 |
Europe | IBES_EPS_5Y_GTOS | 0.016 | 0.127 | 1.87 |
Europe | Sales_Assets | 0.016 | 0.134 | 1.83 |
Europe | AX_Growth | 0.014 | 0.119 | 1.83 |
Europe | SALES_EV | 0.013 | 0.111 | 1.81 |
Europe | IBES_FY1_EPS_G | 0.016 | 0.156 | 1.57 |
Europe | YOY_EPS_G | 0.010 | 0.102 | 1.57 |
Europe | Percent_Accrual | 0.006 | 0.063 | 1.41 |
Europe | EP | 0.011 | 0.123 | 1.36 |
Europe | CURRENT_R | 0.009 | 0.106 | 1.36 |
Europe | GROSS_MARGIN | 0.010 | 0.115 | 1.29 |
Europe | PM31 | 0.013 | 0.166 | 1.22 |
Europe | PM61 | 0.014 | 0.185 | 1.18 |
Europe | STDEV | 0.017 | 0.234 | 1.13 |
Europe | ALTMANZ | 0.008 | 0.129 | 0.97 |
Europe | EBITDA_EV | 0.008 | 0.135 | 0.94 |
Europe | FEP1 | 0.010 | 0.167 | 0.94 |
Europe | REP | 0.006 | 0.097 | 0.87 |
Europe | CP | 0.005 | 0.124 | 0.64 |
Europe | IBES_EXP_DY | 0.004 | 0.136 | 0.50 |
Europe | DP | 0.004 | 0.132 | 0.46 |
Europe | FEP2 | 0.005 | 0.194 | 0.42 |
Europe | RCP | 0.001 | 0.096 | 0.17 |
Europe | IBES_PTG_RET | 0.002 | 0.206 | 0.14 |
Europe | AX_Value | 0.001 | 0.188 | 0.05 |
Europe | SP | −0.001 | 0.161 | −0.07 |
Europe | YOY_SALES_G | −0.002 | 0.104 | −0.24 |
Europe | AX_EarningsYield | −0.017 | 0.208 | −0.46 |
Europe | BP | −0.007 | 0.194 | −0.58 |
Europe | IBES_EPS_LTG | −0.004 | 0.098 | −0.69 |
Europe | AX_ExRateSensitivity | −0.006 | 0.117 | −0.81 |
Europe | AX_ShortTermMomentum | −0.008 | 0.138 | −0.82 |
Europe | AX_Size | −0.008 | 0.104 | −1.22 |
Europe | AX_Liquidity | −0.011 | 0.130 | −1.28 |
Europe | AX_Volatility | −0.019 | 0.216 | −1.36 |
Europe | AX_DividendYield | −0.044 | 0.170 | −1.47 |
Europe | IBES_FY1_EPS_DISP | −0.017 | 0.171 | −1.54 |
Europe | RBP | −0.020 | 0.156 | −1.94 |
Europe | RSP | −0.021 | 0.159 | −2.02 |
Europe | IBES_REC_MEAN_3M | −0.010 | 0.071 | −2.14 |
Europe | IBES_REC_MEAN | −0.013 | 0.091 | −2.18 |
Europe | AX_Leverage | −0.011 | 0.078 | −2.19 |
Europe | CHG_DEBT | −0.010 | 0.066 | −2.32 |
Europe | CAPEX_DEP | −0.013 | 0.078 | −2.60 |
Europe | Debt_Equity | −0.019 | 0.113 | −2.62 |
Europe | CHG_SHARES | −0.014 | 0.066 | −3.18 |
EM | CTEF | 0.050 | 0.081 | 9.36 |
EM | BR1 | 0.039 | 0.075 | 7.90 |
EM | MQ | 0.058 | 0.121 | 7.29 |
EM | FCF_YLD | 0.030 | 0.064 | 7.14 |
EM | BR2 | 0.037 | 0.080 | 7.10 |
EM | FY2RV3 | 0.036 | 0.090 | 6.16 |
EM | FY1RV3 | 0.033 | 0.085 | 5.85 |
EM | ROE | 0.030 | 0.092 | 4.95 |
EM | ROIC | 0.029 | 0.093 | 4.71 |
EM | IBES_EXP_DY | 0.030 | 0.101 | 4.59 |
EM | DP | 0.029 | 0.097 | 4.57 |
EM | EP | 0.027 | 0.093 | 4.44 |
EM | CP | 0.025 | 0.085 | 4.38 |
EM | RCP | 0.018 | 0.068 | 4.05 |
EM | FEP1 | 0.030 | 0.114 | 4.03 |
EM | IBES_FY1_EPS_G | 0.026 | 0.101 | 3.98 |
EM | FEP2 | 0.033 | 0.128 | 3.97 |
EM | AX_MidTermMomentum | 0.035 | 0.143 | 3.73 |
EM | AX_Profitability | 0.022 | 0.085 | 3.68 |
EM | YOY_EPS_G | 0.018 | 0.075 | 3.60 |
EM | REP | 0.018 | 0.079 | 3.52 |
EM | IBES_EPS_5Y_GTOS | 0.017 | 0.076 | 3.43 |
EM | ROA | 0.020 | 0.093 | 3.37 |
EM | IBES_FY1_DPS_G | 0.018 | 0.084 | 3.20 |
EM | EBITDA_EV | 0.021 | 0.100 | 3.14 |
EM | PM121 | 0.030 | 0.154 | 2.96 |
EM | IBES_EPS_5Y_GRO | 0.014 | 0.076 | 2.85 |
EM | GROSS_MARGIN | 0.015 | 0.095 | 2.46 |
EM | ALTMANZ | 0.017 | 0.113 | 2.33 |
EM | PM91 | 0.022 | 0.152 | 2.20 |
EM | AX_Growth | 0.011 | 0.089 | 1.90 |
EM | Sales_Assets | 0.009 | 0.071 | 1.85 |
EM | AX_Size | 0.010 | 0.086 | 1.84 |
EM | STDEV | 0.017 | 0.170 | 1.53 |
EM | PM61 | 0.013 | 0.139 | 1.48 |
EM | SALES_EV | 0.007 | 0.085 | 1.32 |
EM | IBES_PTG_RET | 0.011 | 0.130 | 1.25 |
EM | ES | 0.007 | 0.084 | 1.20 |
EM | SP | 0.009 | 0.112 | 1.19 |
EM | IBES_EPS_LTG | 0.005 | 0.085 | 0.87 |
EM | YOY_SALES_G | 0.004 | 0.086 | 0.78 |
EM | AX_Value | 0.005 | 0.124 | 0.61 |
EM | CURRENT_RATIO | 0.002 | 0.070 | 0.51 |
EM | AX_DividendYield | 0.000 | 0.108 | −0.01 |
EM | AX_ExRateSensitivity | −0.001 | 0.068 | −0.13 |
EM | PM31 | −0.002 | 0.120 | −0.24 |
EM | BP | −0.003 | 0.128 | −0.32 |
EM | RSP | −0.003 | 0.114 | −0.38 |
EM | RBP | −0.007 | 0.119 | −0.88 |
EM | AX_EarningsYield | −0.021 | 0.140 | −0.88 |
EM | Debt_Equity | −0.005 | 0.077 | −1.00 |
EM | AX_Liquidity | −0.010 | 0.145 | −1.02 |
EM | AX_ShortTermMomentum | −0.010 | 0.110 | −1.33 |
EM | AX_Volatility | −0.015 | 0.154 | −1.50 |
EM | CAPEX_DEP | −0.007 | 0.072 | −1.55 |
EM | AX_Leverage | −0.012 | 0.063 | −2.84 |
EM | CHG_DEBT | −0.012 | 0.057 | −3.15 |
EM | CHG_SHARES | −0.014 | 0.062 | −3.37 |
EM | IBES_FY1_EPS_DISP | −0.026 | 0.111 | −3.63 |
EM | Percent_Accrual | −0.013 | 0.056 | −3.64 |
EM | IBES_REC_MEAN | −0.028 | 0.080 | −5.30 |
EM | IBES_REC_MEAN_3M | −0.027 | 0.055 | −7.58 |
Japan | RCP | 0.028 | 0.106 | 4.05 |
Japan | FCF_YLD | 0.021 | 0.088 | 3.71 |
Japan | IBES_EXP_DY | 0.034 | 0.143 | 3.63 |
Japan | MQ | 0.035 | 0.155 | 3.47 |
Japan | DP | 0.030 | 0.146 | 3.13 |
Japan | CP | 0.021 | 0.123 | 2.62 |
Japan | SALES_EV | 0.022 | 0.129 | 2.56 |
Japan | BP | 0.029 | 0.179 | 2.45 |
Japan | IBES_PTG_RET | 0.027 | 0.179 | 2.27 |
Japan | SP | 0.023 | 0.159 | 2.17 |
Japan | AX_Value | 0.025 | 0.188 | 2.02 |
Japan | CTEF | 0.019 | 0.142 | 2.01 |
Japan | BR2 | 0.017 | 0.131 | 1.95 |
Japan | RBP | 0.022 | 0.177 | 1.89 |
Japan | RSP | 0.021 | 0.172 | 1.83 |
Japan | FEP2 | 0.023 | 0.196 | 1.83 |
Japan | EBITDA_EV | 0.018 | 0.153 | 1.77 |
Japan | AX_Profitability | 0.015 | 0.136 | 1.63 |
Japan | FEP1 | 0.017 | 0.177 | 1.45 |
Japan | FY2RV3 | 0.015 | 0.161 | 1.38 |
Japan | CURRENT_R | 0.010 | 0.120 | 1.30 |
Japan | Sales_Assets | 0.010 | 0.120 | 1.29 |
Japan | ES | 0.011 | 0.140 | 1.13 |
Japan | BR1 | 0.009 | 0.129 | 1.03 |
Japan | EP | 0.008 | 0.164 | 0.78 |
Japan | ROA | 0.008 | 0.162 | 0.75 |
Japan | AX_ExRateSensitivity | 0.005 | 0.121 | 0.67 |
Japan | IBES_EPS_5Y_GRO | 0.003 | 0.108 | 0.46 |
Japan | IBES_EPS_5Y_GTOS | 0.003 | 0.108 | 0.40 |
Japan | IBES_FY1_EPS_DISP | 0.004 | 0.148 | 0.37 |
Japan | ALTMANZ | 0.003 | 0.148 | 0.35 |
Japan | FY1RV3 | 0.003 | 0.155 | 0.33 |
Japan | GROSS_MARGIN | 0.003 | 0.144 | 0.33 |
Japan | STDEV | 0.005 | 0.235 | 0.33 |
Japan | IBES_FY1_EPS_G | 0.003 | 0.153 | 0.30 |
Japan | ROIC | 0.003 | 0.151 | 0.28 |
Japan | REP | 0.002 | 0.135 | 0.28 |
Japan | IBES_EPS_LTG | 0.002 | 0.113 | 0.20 |
Japan | AX_MidTermMomentum | 0.001 | 0.212 | 0.08 |
Japan | AX_DividendYield | 0.002 | 0.207 | 0.05 |
Japan | AX_Growth | −0.001 | 0.130 | −0.08 |
Japan | PM31 | −0.003 | 0.167 | −0.25 |
Japan | AX_EarningsYield | −0.011 | 0.196 | −0.30 |
Japan | PM121 | −0.005 | 0.211 | −0.35 |
Japan | ROE | −0.003 | 0.137 | −0.36 |
Japan | CHG_DEBT | −0.002 | 0.075 | −0.36 |
Japan | AX_Volatility | −0.007 | 0.231 | −0.44 |
Japan | AX_Liquidity | −0.006 | 0.200 | −0.44 |
Japan | PM91 | −0.008 | 0.200 | −0.60 |
Japan | PM61 | −0.008 | 0.188 | −0.62 |
Japan | IBES_FY1_DPS_G | −0.006 | 0.138 | −0.67 |
Japan | IBES_REC_MEAN | −0.005 | 0.115 | −0.69 |
Japan | IBES_REC_MEAN_3M | −0.005 | 0.083 | −0.83 |
Japan | CHG_SHARES | −0.005 | 0.084 | −0.98 |
Japan | YOY_EPS_G | −0.008 | 0.118 | −0.99 |
Japan | Debt_Equity | −0.013 | 0.143 | −1.34 |
Japan | AX_Leverage | −0.013 | 0.125 | −1.55 |
Japan | AX_Size | −0.011 | 0.112 | −1.55 |
Japan | YOY_SALES_G | −0.015 | 0.129 | −1.78 |
Japan | Percent_Accrual | −0.011 | 0.095 | −1.79 |
Japan | CAPEX_DEP | −0.010 | 0.077 | −2.02 |
Japan | AX_ShortTermMomentum | −0.033 | 0.175 | −2.63 |
R1000 | CTEF | 0.030 | 0.117 | 3.88 |
R1000 | FY2RV3 | 0.025 | 0.125 | 2.99 |
R1000 | FCF_YLD | 0.018 | 0.096 | 2.83 |
R1000 | BR2 | 0.018 | 0.105 | 2.67 |
R1000 | FY1RV3 | 0.019 | 0.107 | 2.64 |
R1000 | Sales_Assets | 0.018 | 0.106 | 2.53 |
R1000 | FEP1 | 0.021 | 0.136 | 2.33 |
R1000 | FEP2 | 0.022 | 0.146 | 2.28 |
R1000 | BR1 | 0.014 | 0.097 | 2.25 |
R1000 | DJ_SENT | 0.011 | 0.082 | 2.00 |
R1000 | ROIC_QTR | 0.014 | 0.108 | 1.94 |
R1000 | SALES_EV | 0.015 | 0.120 | 1.91 |
R1000 | IBES_EPS_5Y_GRO | 0.013 | 0.108 | 1.90 |
R1000 | ROE | 0.012 | 0.105 | 1.79 |
R1000 | IBES_EPS_5Y_GTOS | 0.012 | 0.106 | 1.78 |
R1000 | ROIC | 0.013 | 0.110 | 1.76 |
R1000 | AX_MidTermMomentum | 0.021 | 0.192 | 1.67 |
R1000 | PR_SENT | 0.008 | 0.070 | 1.65 |
R1000 | IBES_FY1_EPS_G | 0.013 | 0.124 | 1.65 |
R1000 | ROA | 0.012 | 0.114 | 1.60 |
R1000 | IBES_FY1_DPS_G | 0.010 | 0.101 | 1.43 |
R1000 | CP | 0.012 | 0.131 | 1.40 |
R1000 | SP | 0.012 | 0.140 | 1.31 |
R1000 | GROSS_MARGIN | 0.009 | 0.104 | 1.26 |
R1000 | PM91 | 0.013 | 0.184 | 1.11 |
R1000 | RCP | 0.008 | 0.106 | 1.09 |
R1000 | OCFYLD | 0.008 | 0.113 | 1.08 |
R1000 | EP | 0.008 | 0.122 | 1.06 |
R1000 | EBITDA_EV | 0.009 | 0.141 | 1.02 |
R1000 | PM121 | 0.013 | 0.191 | 1.00 |
R1000 | AX_Growth | 0.007 | 0.104 | 0.99 |
R1000 | ES | 0.007 | 0.101 | 0.97 |
R1000 | CHG_DEBT | 0.003 | 0.051 | 0.81 |
R1000 | REP | 0.004 | 0.090 | 0.74 |
R1000 | PM61 | 0.008 | 0.168 | 0.74 |
R1000 | IBES_PTG_RET | 0.008 | 0.177 | 0.69 |
R1000 | PM31 | 0.007 | 0.146 | 0.69 |
R1000 | ALTMANZ | 0.005 | 0.115 | 0.67 |
R1000 | STDEV | 0.009 | 0.225 | 0.58 |
R1000 | PMUS | 0.008 | 0.188 | 0.58 |
R1000 | DP | 0.004 | 0.150 | 0.38 |
R1000 | IBES_EXP_DY | 0.001 | 0.149 | 0.12 |
R1000 | Debt_Equity | 0.001 | 0.091 | 0.10 |
R1000 | AX_Size | 0.001 | 0.112 | 0.08 |
R1000 | AX_Leverage | 0.000 | 0.093 | 0.06 |
R1000 | IBES_REC_MEAN_3M | 0.000 | 0.056 | −0.01 |
R1000 | CURRENT_RATIO | −0.001 | 0.110 | −0.08 |
R1000 | IBES_EPS_LTG | −0.002 | 0.135 | −0.19 |
R1000 | YOY_EPS_G | −0.001 | 0.080 | −0.20 |
R1000 | AX_DividendYield | −0.009 | 0.179 | −0.28 |
R1000 | AX_EarningsYield | −0.013 | 0.185 | −0.39 |
R1000 | RSP | −0.005 | 0.156 | −0.49 |
R1000 | AX_Value | −0.005 | 0.138 | −0.58 |
R1000 | BP | −0.005 | 0.133 | −0.60 |
R1000 | YOY_SALES_G | −0.005 | 0.107 | −0.67 |
R1000 | AX_Volatility | −0.015 | 0.215 | −1.03 |
R1000 | AX_MidCap | −0.018 | 0.080 | −1.09 |
R1000 | RBP | −0.011 | 0.135 | −1.20 |
R1000 | AX_Liquidity | −0.012 | 0.150 | −1.20 |
R1000 | CAPEX_DEP | −0.007 | 0.082 | −1.26 |
R1000 | AX_ShortTermMomentum | −0.013 | 0.142 | −1.33 |
R1000 | Percent_Accrual | −0.007 | 0.072 | −1.46 |
R1000 | IBES_REC_MEAN | −0.009 | 0.096 | −1.48 |
R1000 | IBES_FY1_EPS_DISP | −0.017 | 0.134 | −1.90 |
R1000 | AX_ExRateSensitivity | −0.016 | 0.116 | −2.06 |
R1000 | CHG_SHARES | −0.016 | 0.090 | −2.78 |
R2000 | CTEF | 0.042 | 0.086 | 7.51 |
R2000 | OCFYLD | 0.033 | 0.072 | 7.02 |
R2000 | FCF_YLD | 0.033 | 0.080 | 6.37 |
R2000 | FEP2 | 0.045 | 0.117 | 5.84 |
R2000 | FEP1 | 0.046 | 0.121 | 5.82 |
R2000 | DJ_SENT | 0.022 | 0.056 | 5.57 |
R2000 | AX_Size | 0.031 | 0.091 | 5.21 |
R2000 | ROA | 0.035 | 0.104 | 5.12 |
R2000 | BR2 | 0.022 | 0.066 | 5.04 |
R2000 | ROIC_QTR | 0.034 | 0.098 | 4.99 |
R2000 | RCP | 0.028 | 0.087 | 4.96 |
R2000 | FY2RV3 | 0.025 | 0.077 | 4.94 |
R2000 | BR1 | 0.021 | 0.065 | 4.86 |
R2000 | ROIC | 0.034 | 0.109 | 4.82 |
R2000 | REP | 0.032 | 0.104 | 4.77 |
R2000 | ROE | 0.034 | 0.111 | 4.66 |
R2000 | Sales_Assets | 0.025 | 0.083 | 4.58 |
R2000 | EP | 0.034 | 0.117 | 4.50 |
R2000 | AX_Growth | 0.021 | 0.074 | 4.38 |
R2000 | CP | 0.031 | 0.112 | 4.20 |
R2000 | FY1RV3 | 0.019 | 0.068 | 4.19 |
R2000 | STDEV | 0.046 | 0.169 | 4.12 |
R2000 | IBES_FY1_EPS_G | 0.020 | 0.074 | 4.07 |
R2000 | SALES_EV | 0.024 | 0.096 | 3.87 |
R2000 | EBITDA_EV | 0.032 | 0.127 | 3.83 |
R2000 | PR_SENT | 0.011 | 0.042 | 3.75 |
R2000 | IBES_EPS_5Y_GRO | 0.017 | 0.068 | 3.73 |
R2000 | IBES_EPS_5Y_GTOS | 0.018 | 0.074 | 3.67 |
R2000 | AX_MidTermMomentum | 0.027 | 0.133 | 3.05 |
R2000 | SP | 0.024 | 0.120 | 3.00 |
R2000 | IBES_FY1_DPS_G | 0.020 | 0.104 | 2.81 |
R2000 | PM91 | 0.021 | 0.124 | 2.56 |
R2000 | PM61 | 0.018 | 0.113 | 2.41 |
R2000 | GROSS_MARGIN | 0.012 | 0.076 | 2.38 |
R2000 | DP | 0.019 | 0.122 | 2.31 |
R2000 | PM121 | 0.018 | 0.132 | 2.10 |
R2000 | PM31 | 0.011 | 0.097 | 1.72 |
R2000 | ALTMANZ | 0.008 | 0.076 | 1.70 |
R2000 | PMUS | 0.014 | 0.124 | 1.67 |
R2000 | AX_MidCap | 0.023 | 0.068 | 1.65 |
R2000 | YOY_EPS_G | 0.005 | 0.048 | 1.56 |
R2000 | AX_EarningsYield | 0.037 | 0.134 | 1.47 |
R2000 | Debt_Equity | 0.008 | 0.090 | 1.41 |
R2000 | BP | 0.009 | 0.105 | 1.31 |
R2000 | ES | 0.005 | 0.058 | 1.24 |
R2000 | AX_Leverage | 0.006 | 0.080 | 1.21 |
R2000 | IBES_EXP_DY | 0.008 | 0.140 | 0.86 |
R2000 | AX_DividendYield | 0.021 | 0.136 | 0.84 |
R2000 | AX_Value | 0.006 | 0.106 | 0.84 |
R2000 | RBP | 0.002 | 0.086 | 0.38 |
R2000 | CHG_DEBT | 0.001 | 0.040 | 0.23 |
R2000 | YOY_SALES_G | 0.000 | 0.069 | 0.04 |
R2000 | RSP | −0.003 | 0.102 | −0.52 |
R2000 | IBES_PTG_RET | −0.006 | 0.133 | −0.74 |
R2000 | AX_ExRateSensitivity | −0.004 | 0.068 | −0.89 |
R2000 | IBES_EPS_LTG | −0.007 | 0.113 | −0.95 |
R2000 | AX_Liquidity | −0.010 | 0.112 | −1.39 |
R2000 | CAPEX_DEP | −0.006 | 0.052 | −1.63 |
R2000 | AX_ShortTermMomentum | −0.012 | 0.094 | −1.77 |
R2000 | IBES_REC_MEAN | −0.010 | 0.070 | −2.26 |
R2000 | CURRENT_RATIO | −0.014 | 0.088 | −2.48 |
R2000 | AX_Volatility | −0.038 | 0.169 | −3.39 |
R2000 | Percent_Accrual | −0.017 | 0.072 | −3.61 |
R2000 | LowPrice | −0.035 | 0.126 | −4.26 |
R2000 | CHG_SHARES | −0.023 | 0.079 | −4.42 |
R2000 | IBES_REC_MEAN_3M | −0.011 | 0.038 | −4.58 |
R2000 | IBES_FY1_EPS_DISP | −0.032 | 0.096 | −5.14 |
WORLD | CTEF | 0.031 | 0.094 | 4.76 |
WORLD | FCF_YLD | 0.020 | 0.072 | 4.00 |
WORLD | BR2 | 0.025 | 0.094 | 3.77 |
WORLD | BR1 | 0.021 | 0.087 | 3.43 |
WORLD | ROIC | 0.022 | 0.097 | 3.35 |
WORLD | FY2RV3 | 0.029 | 0.125 | 3.33 |
WORLD | IBES_EPS_5Y_GTOS | 0.021 | 0.091 | 3.29 |
WORLD | ROE | 0.021 | 0.095 | 3.25 |
WORLD | AX_Profitability | 0.018 | 0.084 | 3.06 |
WORLD | ROA | 0.020 | 0.106 | 2.75 |
WORLD | IBES_EPS_5Y_GRO | 0.017 | 0.092 | 2.71 |
WORLD | FY1RV3 | 0.020 | 0.111 | 2.57 |
WORLD | GROSS_MARGIN | 0.015 | 0.089 | 2.39 |
WORLD | Sales_Assets | 0.012 | 0.083 | 1.99 |
WORLD | AX_MidTermMomentum | 0.023 | 0.170 | 1.96 |
WORLD | IBES_FY1_DPS_G | 0.013 | 0.101 | 1.86 |
WORLD | RCP | 0.010 | 0.086 | 1.75 |
WORLD | ES | 0.012 | 0.096 | 1.74 |
WORLD | OCFYLD | 0.011 | 0.090 | 1.73 |
WORLD | FEP1 | 0.015 | 0.127 | 1.69 |
WORLD | IBES_FY1_EPS_G | 0.013 | 0.120 | 1.62 |
WORLD | AX_Volatility | 0.020 | 0.187 | 1.56 |
WORLD | AX_Liquidity | 0.012 | 0.122 | 1.37 |
WORLD | FEP2 | 0.014 | 0.150 | 1.37 |
WORLD | ALTMANZ | 0.009 | 0.098 | 1.36 |
WORLD | PM31 | 0.013 | 0.134 | 1.35 |
WORLD | AX_EarningsYield | 0.010 | 0.107 | 1.32 |
WORLD | PM91 | 0.014 | 0.168 | 1.22 |
WORLD | EP | 0.008 | 0.103 | 1.17 |
WORLD | PM121 | 0.013 | 0.175 | 1.09 |
WORLD | CURRENT_RATIO | 0.006 | 0.076 | 1.06 |
WORLD | AX_DividendYield | 0.007 | 0.107 | 0.98 |
WORLD | PM61 | 0.010 | 0.154 | 0.96 |
WORLD | IBES_EXP_DY | 0.008 | 0.121 | 0.92 |
WORLD | DP | 0.007 | 0.120 | 0.91 |
WORLD | CP | 0.006 | 0.101 | 0.83 |
WORLD | STDEV | 0.009 | 0.196 | 0.68 |
WORLD | AX_Growth | 0.004 | 0.097 | 0.65 |
WORLD | SALES_EV | 0.004 | 0.098 | 0.62 |
WORLD | AX_Size | 0.003 | 0.086 | 0.57 |
WORLD | REP | 0.003 | 0.073 | 0.56 |
WORLD | YOY_EPS_G | 0.003 | 0.076 | 0.55 |
WORLD | EBITDA_EV | 0.004 | 0.108 | 0.52 |
WORLD | IBES_PTG_RET | 0.005 | 0.150 | 0.49 |
WORLD | CHG_DEBT | 0.001 | 0.045 | 0.31 |
WORLD | IBES_EPS_LTG | 0.001 | 0.094 | 0.14 |
WORLD | Percent_Accrual | −0.001 | 0.056 | −0.14 |
WORLD | SP | −0.002 | 0.123 | −0.23 |
WORLD | YOY_SALES_G | −0.003 | 0.091 | −0.46 |
WORLD | RSP | −0.005 | 0.133 | −0.60 |
WORLD | Debt_Equity | −0.004 | 0.074 | −0.86 |
WORLD | AX_Value | −0.008 | 0.124 | −0.90 |
WORLD | AX_ExRateSensitivity | −0.004 | 0.057 | −0.92 |
WORLD | RBP | −0.010 | 0.128 | −1.10 |
WORLD | BP | −0.013 | 0.134 | −1.43 |
WORLD | CAPEX_DEP | −0.008 | 0.077 | −1.51 |
WORLD | IBES_FY1_EPS_DISP | −0.018 | 0.142 | −1.86 |
WORLD | IBES_REC_MEAN_3M | −0.006 | 0.048 | −1.88 |
WORLD | AX_Leverage | −0.008 | 0.061 | −1.91 |
WORLD | IBES_REC_MEAN | −0.014 | 0.079 | −2.50 |
WORLD | CHG_SHARES | −0.016 | 0.081 | −2.77 |
Variable | Definition |
---|---|
FY1RV3 | Three-month revisions of 1-year-ahead I/B/E/S earnings per share revisions |
FY2RV3 | Three-month revisions of 2-year-ahead I/B/E/S earnings per share revisions |
BR2 | Two-tear-ahead I/B/E/S forecast breadth |
BR1 | One-tear-ahead I/B/E/S forecast breadth |
FCF_YLD | Forecasted free cash flow yield |
CTEFOCFROIC | Proprietary forecasted free cash flow |
IBES_EPS_5Y_GTOS | I/B/E/S 3–5 year forecasted growth rate |
MQ | McKinley capital management prioritary quant score |
CURRENT_R | Current ratio |
AX_Profitability | Axioma profitability factor return |
ROIC | Return on invested capital |
IBES_EPS_5Y_GRO | Five-year-ahead I/B/E/S forecast EPS growth rate |
IBES_FY1_DPS_G | One-year-ahead I/B/E/S forecast dividend growth rate |
STDEV | One year annualized standard deviation |
ALTMANZ | Altman Z-score |
AX_Size | Axioma size factor return |
ES | Corporate exports |
IBES_FY1_EPS_G | One-year-ahead I/B/E/S forecast EPS growth rate |
REP | Relative earnings to price ratio |
AX_MidTermMomentum | Axioma medium-term momentum factor return |
ROA | Return on assets ratio |
ROE | Return on equity ratio |
Sales_Assets | Sales-to-assets ratio |
GROSS_MARGIN | Profits-sales ratio |
YOY_EPS_G | Year-to-year EPS growth |
PM61 | Price momentum 6-month momentum |
AX_Growth | Axioma growth factor return |
IBES_EPS_LTG | I/B/E/S 3–5 year forecasted growth rate |
PM91 | Price momentum 9-month (net reversion) momentum |
PM121 | Price momentum 12-month (net reversion) momentum |
AX_Liquidity | Axioma liquidity factor return |
SALES_EV | Sales-to-enterprise value ratio |
DP | Dividends-to-price ratio |
IBES_EXP_DY | I/B/E/S forecasted dividend yield to price ratio |
PM31 | Price momentum 3-month (net reversion) momentum |
AX_Volatility | Axioma volatility factor return |
AX_DividendYield | Axioma dividend yield factor return |
AX_ShortTermMomentum | Axioma short-term momentum factor return |
RCP | Relative earnings to price ratio |
IBES_REC_MEAN | I/B/E/S recommendation mean ratio |
Percent_Accrual | (Net income − Operating cash flow)/Net income ratio |
SP | Sales to price ratio |
FEP1 | I/B/E/S 1-year-ahead forecasted earnings to price ratio |
EP | Earnings to price ratio |
CP | Cash flow to price ratio |
FEP2 | I/B/E/S 2-year-ahead forecasted earnings to price ratio |
IBES_PTG_RET | I/B/E/S targeted price to current price ratio |
EBITDA_EV | EBITDA-to-enterprise value |
BP | Book value to price ratio |
AX_Value | Axioma value factor return |
AX_EarningsYield | Axioma earnings yield factor return |
RSP | Relative sales to price ratio |
RBP | Relative book value to price ratio |
YOY_SALES_G | Year-to-year sales growth |
AX_ExRateSensitivity | Axioma exchange ratio factor return |
Debt_Equity | Debt-to-equity ratio |
CHG_SHARES | Percentage change in stock shares |
CHG_DEBT | Percentage change in debt |
IBES_REC_MEAN_3M | I/B/E/S 1-year-ahead forecasted earnings to price ratio |
IBES_FY1_EPS_DISP | I/B/E/S 1-year-ahead forecasted standard deviation earnings to price ratio |
AX_Leverage | Axioma leverage factor return |
CAPEX_DEP | Capital expenditures-to-depreciation ratio |
14.1.3 Appendix C: Matrix Algebra
In finance matrix, algebra is very useful. Many programing languages, including Excel, have built in functions to do calculations easily with matrix operations. Matrices are tables of numbers with finite number of rows and columns. A matrix is described by giving the number of rows first followed by the number of columns, its dimensions. We define scalars (single numbers) as simply 1x1 matrices, vectors as 1xN, (a row vector with N elements), or as Mx1 (a column vector with M elements).
Let A denote an M x N and B denote an N x L matrix:
Let F denote the product of A and B, then F is an M x L matrix:
Note that first matrix’s number of columns and the second matrix’s number of rows must be the same in the multiplication operation! If necessary, transpose one of the matrices to obtain this property. In Excel, multiplication operation is done by using the function MMULT(range 1, range 2).
Transpose of matrix AMxN denoted by AT, or A’, is an N x M matrix:
In Excel, the function is TRANSPOSE(Range).
Let X and Y denote two N x 1 vectors, then the difference X – Y is given by an N x 1 vector D:
14.1.3.1 Matrix algebra in Excel
Let numbers in cells A1:C1 be the matrix A (1x3) and numbers in E1:G3 be the matrix B (3x3). Product of A and B will be matrix with 1 row and 3 columns. Select 3 columns, say A3:C3, and enter formula =MMULT(A1:C1,E1:G3). You must use Ctrl+Shift+Enter! It will show as { =MMULT(A1:C1,E1:G3)}. The {} indicates that it is an array function.
To transpose matrix A, select 3 rows, say A5:A7, and enter the formula =TRANSPOSE(A1:C1). Then Ctrl+Shift+Enter. It will show as {=TRANSPOSE(A1:C1)}.
Here is a simple example:
14.1.3.2 Portfolio Statistics with Matrix Algebra
Expected return and variance of a portfolio of N securities is calculated using the following two equations:
where xi is the weight of security i in the portfolio, σij is the covariance of security i with the security j. Sum of weights is always 1.
Let X be Nx1 matrix, column vector, representing the weights of the securities in the portfolio, R be Nx1 matrix representing expected returns of securities, and Ω be NxN covariance matrix of securities. Then, expected return and the variance of portfolio in matrix algebra will be:
and,
Unit vector, 1, is used to make sure that sum of weights is 1!
To demonstrate it in Excel, we will use the example of two security portfolio of IBM and D presented in chapter 14. An equally weighted portfolio of IBM and D has the following statistics:
Formulas in cells B6, C6, and H6 are:
-
B6: =MMULT(TRANSPOSE(H3:H4),B3:B4)
-
C6: =SQRT(MMULT(MMULT(TRANSPOSE(H3:H4),F3:G4),H3:H4))
-
H6: =MMULT(TRANSPOSE(H3:H4),I3:I4)
If we change the weights in cells H3 and H4 to 0.245 and 0.755, respectively, portfolio stats will be:
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Guerard Jr., J.B., Saxena, A., Gültekin, M.N. (2022). Risk and Return of Equity, the Capital Asset Pricing Model, and Stock Selection for Efficient Portfolio Construction. In: Quantitative Corporate Finance. Springer, Cham. https://doi.org/10.1007/978-3-030-87269-4_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-87269-4_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87268-7
Online ISBN: 978-3-030-87269-4
eBook Packages: Business and ManagementBusiness and Management (R0)