Correlation Between American Funds and Science Technology
Can any of the company-specific risk be diversified away by investing in both American Funds and Science Technology at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining American Funds and Science Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Funds Lege and Science Technology Fund, you can compare the effects of market volatilities on American Funds and Science Technology and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in American Funds with a short position of Science Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Funds and Science Technology.
Diversification Opportunities for American Funds and Science Technology
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between American and Science is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding American Funds Lege and Science Technology Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Science Technology and American Funds is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on American Funds Lege are associated (or correlated) with Science Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Science Technology has no effect on the direction of American Funds i.e., American Funds and Science Technology go up and down completely randomly.
Pair Corralation between American Funds and Science Technology
Assuming the 90 days horizon American Funds Lege is expected to generate 0.55 times more return on investment than Science Technology. However, American Funds Lege is 1.82 times less risky than Science Technology. It trades about -0.27 of its potential returns per unit of risk. Science Technology Fund is currently generating about -0.18 per unit of risk. If you would invest 964.00 in American Funds Lege on October 5, 2024 and sell it today you would lose (40.00) from holding American Funds Lege or give up 4.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
American Funds Lege vs. Science Technology Fund
Performance |
Timeline |
American Funds Lege |
Science Technology |
American Funds and Science Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Funds and Science Technology
The main advantage of trading using opposite American Funds and Science Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Funds position performs unexpectedly, Science Technology can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Science Technology will offset losses from the drop in Science Technology's long position.American Funds vs. Victory Rs Partners | American Funds vs. William Blair Small | American Funds vs. Vanguard Small Cap Value | American Funds vs. Royce Opportunity Fund |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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