Correlation Between NYSE Composite and Ing Series
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Ing Series 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 NYSE Composite and Ing Series into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Ing Series Fund, you can compare the effects of market volatilities on NYSE Composite and Ing Series 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 NYSE Composite with a short position of Ing Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Ing Series.
Diversification Opportunities for NYSE Composite and Ing Series
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between NYSE and Ing is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Ing Series Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ing Series Fund and NYSE Composite 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 NYSE Composite are associated (or correlated) with Ing Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ing Series Fund has no effect on the direction of NYSE Composite i.e., NYSE Composite and Ing Series go up and down completely randomly.
Pair Corralation between NYSE Composite and Ing Series
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.72 times more return on investment than Ing Series. However, NYSE Composite is 1.39 times less risky than Ing Series. It trades about -0.36 of its potential returns per unit of risk. Ing Series Fund is currently generating about -0.43 per unit of risk. If you would invest 2,022,036 in NYSE Composite on September 24, 2024 and sell it today you would lose (101,325) from holding NYSE Composite or give up 5.01% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.24% |
Values | Daily Returns |
NYSE Composite vs. Ing Series Fund
Performance |
Timeline |
NYSE Composite and Ing Series Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Ing Series Fund
Pair trading matchups for Ing Series
Pair Trading with NYSE Composite and Ing Series
The main advantage of trading using opposite NYSE Composite and Ing Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Ing Series 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 Ing Series will offset losses from the drop in Ing Series' long position.NYSE Composite vs. Cincinnati Financial | NYSE Composite vs. Integral Ad Science | NYSE Composite vs. Stagwell | NYSE Composite vs. Atlantic American |
Ing Series vs. Aristotle Funds Series | Ing Series vs. Aristotle Funds Series | Ing Series vs. Aristotle International Eq | Ing Series vs. Aristotle Funds Series |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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