Correlation Between NYSE Composite and Nicholas Fund
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Nicholas Fund 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 Nicholas Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Nicholas Fund Inc, you can compare the effects of market volatilities on NYSE Composite and Nicholas Fund 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 Nicholas Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Nicholas Fund.
Diversification Opportunities for NYSE Composite and Nicholas Fund
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between NYSE and Nicholas is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Nicholas Fund Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nicholas 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 Nicholas Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nicholas Fund has no effect on the direction of NYSE Composite i.e., NYSE Composite and Nicholas Fund go up and down completely randomly.
Pair Corralation between NYSE Composite and Nicholas Fund
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.81 times more return on investment than Nicholas Fund. However, NYSE Composite is 1.23 times less risky than Nicholas Fund. It trades about 0.05 of its potential returns per unit of risk. Nicholas Fund Inc is currently generating about 0.0 per unit of risk. If you would invest 1,817,120 in NYSE Composite on December 5, 2024 and sell it today you would earn a total of 132,435 from holding NYSE Composite or generate 7.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Nicholas Fund Inc
Performance |
Timeline |
NYSE Composite and Nicholas Fund Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Nicholas Fund Inc
Pair trading matchups for Nicholas Fund
Pair Trading with NYSE Composite and Nicholas Fund
The main advantage of trading using opposite NYSE Composite and Nicholas Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Nicholas Fund 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 Nicholas Fund will offset losses from the drop in Nicholas Fund's long position.NYSE Composite vs. Triton International Limited | NYSE Composite vs. Mitsubishi UFJ Lease | NYSE Composite vs. Global E Online | NYSE Composite vs. Federal Home Loan |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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