Correlation Between NYSE Composite and FT Cboe
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and FT Cboe 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 FT Cboe into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and FT Cboe Vest, you can compare the effects of market volatilities on NYSE Composite and FT Cboe 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 FT Cboe. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and FT Cboe.
Diversification Opportunities for NYSE Composite and FT Cboe
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between NYSE and BGLD is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and FT Cboe Vest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FT Cboe Vest 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 FT Cboe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FT Cboe Vest has no effect on the direction of NYSE Composite i.e., NYSE Composite and FT Cboe go up and down completely randomly.
Pair Corralation between NYSE Composite and FT Cboe
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.85 times more return on investment than FT Cboe. However, NYSE Composite is 1.18 times less risky than FT Cboe. It trades about 0.15 of its potential returns per unit of risk. FT Cboe Vest is currently generating about 0.1 per unit of risk. If you would invest 1,906,443 in NYSE Composite on August 28, 2024 and sell it today you would earn a total of 115,593 from holding NYSE Composite or generate 6.06% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. FT Cboe Vest
Performance |
| Timeline |
NYSE Composite and FT Cboe Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
FT Cboe Vest
Pair trading matchups for FT Cboe
Pair Trading with NYSE Composite and FT Cboe
The main advantage of trading using opposite NYSE Composite and FT Cboe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, FT Cboe 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 FT Cboe will offset losses from the drop in FT Cboe's long position.| NYSE Composite vs. Hooker Furniture | NYSE Composite vs. Hudson Pacific Properties | NYSE Composite vs. Canlan Ice Sports | NYSE Composite vs. Boston Properties |
| FT Cboe vs. FT Cboe Vest | FT Cboe vs. iShares Gold Trust | FT Cboe vs. First Trust Exchange Traded | FT Cboe vs. First Trust Exchange Traded |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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