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In the context of Modern Portfolio Theory, risk-return relation is the theoretical association between the return expected from investment and the amount of risk assumed in that investment. The more return investor expects from the market, the more risk must be undertaken to achieve that return.

What is risk-adjusted return and how do I measure it in today's market?

Before comparing or considering investments, it is better to perform a risk-adjusted return calculation that will adjust the returns according to how risky the investments are. The riskier they are, the more the returns are lowered before any comparison. Technically risk refers to mean volatility, which measures how returns vary over a given period of time. An investment or a portfolio that grows steadily has low risk, and another investment with a value that jumps up and down unpredictably has high risk.

To create risk and return landscape specify valid comma-separated symbols and hit Plot It button.

Please note, the New York Stock Exchange (NYSE) and American Stock Exchange (AMEX) have recently merged. Although Macroaxis has implemented solutions to handle this transition gracefully, you may still find some securities that may not be fully transferred from one exchange to another.
 
       

Risk Adjusted Returns

    
       
Investment horizon: 
30 Days (Login to change)
 Make sure to specify reasonable number of assets as computing power is limited.
       

       
Market   Saving Account   Hypothetical Portfolio   Selected Assets Check Correlations Backtest
Daily Expected Return (%)
Risk [Daily Volatility] (%)
       

How to diversify based on risk adjusted returns

The concept of diversification is tightly coupled with the notion of correlation between securities that make up portfolio. The correlation coefficient is a statistical measurement between negative one and positive one that measures the degree to which the various assets in a portfolio can be expected to perform in a similar fashion or not. A measure of -1 means that the assets within the portfolio perform perfectly oppositely: whenever one asset goes up, the other goes down. A measure of 0 means that the assets fluctuate independently, i.e. that the performance of one asset cannot be used to predict the performance of the others. A measure of 1, on the other hand, means that whenever one asset goes up, so do the others in the portfolio. To eliminate diversifiable risk completely, one needs an intra-portfolio correlation of -1, although in reality, perfectly correlated securities are very rare.
Today, most investors and professional money managers use Sharpe Ratio to measure risk-adjusted returns. The Sharpe Ratio is defined as reward-to-variability ratio and is a measure of the excess return (or Risk Premium) per unit of risk in an investment asset or a trading strategy. The Sharpe Ratio is used to characterize how well the return of an asset compensates the investor for the risk taken. When comparing two assets with similar expected returns against the same benchmark, the asset with the higher Sharpe Ratio gives more return for the same risk. Investors are often advised to pick investments with high Sharpe Ratios. Please, click here to view life correlation matrix
               
  
               
  
               

References

Modern Portfolio Theory From Wikipedia, the free encyclopedia Learn About Modern Portfolio Theory (MPT)
Markowitz, Harry M. (1952). Portfolio Selection, Journal of Finance, 7 (1)
Sharpe, William F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk, Journal of Finance, 19(3)
Lintner, J. (1965). The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets, The Review of Economics and Statistics, 47 (1), 13-39
Burmeister E and Wall KD., The arbitrage pricing theory and macroeconomic factor measures, The Financial Review, 21:1-20, 1986
Chen, N.F, and Ingersoll, E., Exact pricing in linear factor models with finitely many assets: A note, Journal of Finance June 1983
Fama, E. and French, K. (1992). The Cross-Section of Expected Stock Returns, Journal of Finance, June 1992, 427-466
Black, F., Jensen, M., and Scholes, M. The Capital Asset Pricing Model: Some Empirical Tests, in M. Jensen ed., Studies in the Theory of Capital Markets. (1972)
French, C. W. (2003). "The Treynor Capital Asset Pricing Model", Journal of Investment Management, 1 (2), 60-72
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 (1), 13-37
Markowitz, Harry M. (1999). The early history of portfolio theory: 1600-1960, Financial Analysts Journal, 55 (4)
Tobin, James (1958). Liquidity preference as behavior towards risk, The Review of Economic Studies, 25 Treynor, J. L. (1961). "Market Value, Time, and Risk." Unpublished manuscript.
Treynor, J. L. (1962). "Toward a Theory of Market Value of Risky Assets." Unpublished manuscript.

Other Resources

Robust Portfolio Optimization and Management by Frank J. Fabozzi, Petter N. Kolm, Dessislava Pachamanova, Sergio M. Focardi
Portfolio Optimization and Performance Analysis by Jean-Luc Prigent
Option Pricing and Portfolio Optimization by Ralf Korn, Elke Korn
Portfolio optimizations in incomplete financial markets by Walter Schachermayer
Bond Portfolio Optimization by Michael Puhle
An MCDM approach to portfolio optimization by M. Ehrgott, K. Klamroth, C. Schwehm
      
    

Sharpe Ratios

   
 United States RidgeWorth 0.39 Price Moved Down
   
 United States Merrill 0.00 Price Moved None
   
 United States Invesco 0.60 Price Moved Down
   
 United States Pnc Advantag 0.00 Price Moved None
   
 United States Natura 0.00 Price Moved None
   
 United States MassMutual 0.40 Price Moved Down
   
 United States Rydex 0.33 Price Moved Up
   
 United States CITIGROUP 0.00 Price Moved None
   
 United States ADVISORS 0.00 Price Moved None
   
 United States BBZZ 0.00 Price Moved None
   
 United States American 0.48 Price Moved Down
   
 United States ING AMERICAN 0.43 Price Moved Down
    
        
       

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