American Funds Risk Analysis And Volatility

ANFFX -- USA Fund  

USD 45.15  0.42  0.92%

Macroaxis considers American Funds to be very steady. American Funds New secures Sharpe Ratio (or Efficiency) of -0.0263 which signifies that the fund had -0.0263% of return per unit of standard deviation over the last 3 months. Macroaxis philosophy in foreseeing risk of any fund is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators. American Funds New Economy Fund exposes twenty-one different technical indicators which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm American Funds New Risk Adjusted Performance of (0.032091) and Mean Deviation of 0.8929 to double-check risk estimate we provide.

90 Days Market Risk

Very steady

Chance of Distress in 24 months

Very low

90 Days Economic Sensitivity

Almost mirrors market
Horizon     30 Days    Login   to change

American Funds Market Sensitivity

American Funds returns are very sensitive to returns on the market. As market goes up or down, American Funds is expected to follow.
3 Months Beta |Analyze American Funds New Demand Trend
Check current 30 days American Funds correlation with market (DOW)
β = 0.9587

American Funds Central Daily Price Deviation

American Funds New Technical Analysis

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. The Median Price line plots median indexes of American Funds New price series. View also all equity analysis or get more info about median price price transform indicator.

American Funds Projected Return Density Against Market

Assuming 30 trading days horizon, American Funds has beta of 0.9587 . This suggests American Funds New Economy Fund market returns are sensitive to returns on the market. As the market goes up or down, American Funds is expected to follow. Additionally, The company has a negative alpha implying that the risk taken by holding this equity is not justified. American Funds New is significantly underperforming DOW.
 Predicted Return Density 
      Returns 
Assuming 30 trading days horizon, the coefficient of variation of American Funds is -3806.61. The daily returns are destributed with a variance of 1.36 and standard deviation of 1.16. The mean deviation of American Funds New Economy Fund is currently at 0.91. For similar time horizon, the selected benchmark (DOW) has volatility of 0.97
α
Alpha over DOW
=0.03
β
Beta against DOW=0.96
σ
Overall volatility
=1.16
Ir
Information ratio =0.02

American Funds Return Volatility

the fund shows 1.1641% volatility of returns over 30 trading days. the entity inherits 0.9931% risk (volatility on return distribution) over the 30 days horizon.
 Performance (%) 
      Timeline 

American Funds Investment Opportunity

American Funds New Economy Fund has a volatility of 1.16 and is 1.17 times more volatile than DOW. 10  of all equities and portfolios are less risky than American Funds. Compared to the overall equity markets, volatility of historical daily returns of American Funds New Economy Fund is lower than 10 () of all global equities and portfolios over the last 30 days. Use American Funds New Economy Fund to protect your portfolios against small markets fluctuations. The fund experiences moderate downward daily trend and can be a good diversifier. Check odds of American Funds to be traded at $44.25 in 30 days. . American Funds returns are very sensitive to returns on the market. As market goes up or down, American Funds is expected to follow.

American Funds correlation with market

correlation synergy
Very poor diversification
Overlapping area represents the amount of risk that can be diversified away by holding American Funds New Economy Fun and equity matching DJI index in the same portfolio.

American Funds Current Risk Indicators

American Funds Suggested Diversification Pairs

Check also Trending Equities. Please also try Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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