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 Analyze Watchlist 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.
Evaluating the first 10 symbols. Please upgrade your account to plot more symbols
Hypothetical Portfolio
Value At Risk
32.59
Total Risk
0.73
Expected Return
-0.14
Sharpe Ratio
-0.21
This is one of many hypothetical portfolios that can be assembled out of specified equities. Although the risk of this portfolio is minimized due to position correlations with each other, this portfolio is not optimal. Calculations are based on your current investment horizon and default level of risk. Use Portfolio Analizer to fine-tune all your assumptions. Check your current assumptions here. You can easily create optimal portfolio using our suggestion or optimization modules.
* Advice is based on 30 days investment horizon and default level of risk. Use Portfolio Analizer to fine-tune all your assumptions. Check your current assumptions here
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