Correlation Between NYSE Composite and Flint Telecom
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Flint Telecom 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 Flint Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Flint Telecom Group, you can compare the effects of market volatilities on NYSE Composite and Flint Telecom 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 Flint Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Flint Telecom.
Diversification Opportunities for NYSE Composite and Flint Telecom
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between NYSE and Flint is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Flint Telecom Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flint Telecom Group 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 Flint Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Flint Telecom Group has no effect on the direction of NYSE Composite i.e., NYSE Composite and Flint Telecom go up and down completely randomly.
Pair Corralation between NYSE Composite and Flint Telecom
Assuming the 90 days trading horizon NYSE Composite is expected to generate 3.43 times less return on investment than Flint Telecom. But when comparing it to its historical volatility, NYSE Composite is 15.78 times less risky than Flint Telecom. It trades about 0.08 of its potential returns per unit of risk. Flint Telecom Group is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 693.00 in Flint Telecom Group on August 27, 2024 and sell it today you would lose (593.00) from holding Flint Telecom Group or give up 85.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Flint Telecom Group
Performance |
Timeline |
NYSE Composite and Flint Telecom Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Flint Telecom Group
Pair trading matchups for Flint Telecom
Pair Trading with NYSE Composite and Flint Telecom
The main advantage of trading using opposite NYSE Composite and Flint Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Flint Telecom 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 Flint Telecom will offset losses from the drop in Flint Telecom'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 |
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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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