Correlation Between NYSE Composite and Fathom Nickel
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Fathom Nickel 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 Fathom Nickel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Fathom Nickel, you can compare the effects of market volatilities on NYSE Composite and Fathom Nickel 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 Fathom Nickel. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Fathom Nickel.
Diversification Opportunities for NYSE Composite and Fathom Nickel
-0.76 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between NYSE and Fathom is -0.76. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Fathom Nickel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fathom Nickel 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 Fathom Nickel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fathom Nickel has no effect on the direction of NYSE Composite i.e., NYSE Composite and Fathom Nickel go up and down completely randomly.
Pair Corralation between NYSE Composite and Fathom Nickel
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.09 times more return on investment than Fathom Nickel. However, NYSE Composite is 10.65 times less risky than Fathom Nickel. It trades about 0.17 of its potential returns per unit of risk. Fathom Nickel is currently generating about -0.05 per unit of risk. If you would invest 1,901,742 in NYSE Composite on September 2, 2024 and sell it today you would earn a total of 125,462 from holding NYSE Composite or generate 6.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Fathom Nickel
Performance |
Timeline |
NYSE Composite and Fathom Nickel Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Fathom Nickel
Pair trading matchups for Fathom Nickel
Pair Trading with NYSE Composite and Fathom Nickel
The main advantage of trading using opposite NYSE Composite and Fathom Nickel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Fathom Nickel 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 Fathom Nickel will offset losses from the drop in Fathom Nickel's long position.NYSE Composite vs. Simon Property Group | NYSE Composite vs. Merit Medical Systems | NYSE Composite vs. Catalent | NYSE Composite vs. Titan Machinery |
Fathom Nickel vs. ATT Inc | Fathom Nickel vs. Merck Company | Fathom Nickel vs. Walt Disney | Fathom Nickel vs. Caterpillar |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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