Correlation Between NYSE Composite and WhiteBIT Token
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and WhiteBIT Token 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 WhiteBIT Token into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and WhiteBIT Token, you can compare the effects of market volatilities on NYSE Composite and WhiteBIT Token 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 WhiteBIT Token. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and WhiteBIT Token.
Diversification Opportunities for NYSE Composite and WhiteBIT Token
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between NYSE and WhiteBIT is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and WhiteBIT Token in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WhiteBIT Token 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 WhiteBIT Token. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WhiteBIT Token has no effect on the direction of NYSE Composite i.e., NYSE Composite and WhiteBIT Token go up and down completely randomly.
Pair Corralation between NYSE Composite and WhiteBIT Token
Assuming the 90 days trading horizon NYSE Composite is expected to generate 17.1 times less return on investment than WhiteBIT Token. But when comparing it to its historical volatility, NYSE Composite is 6.88 times less risky than WhiteBIT Token. It trades about 0.12 of its potential returns per unit of risk. WhiteBIT Token is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest 1,092 in WhiteBIT Token on August 30, 2024 and sell it today you would earn a total of 1,275 from holding WhiteBIT Token or generate 116.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
NYSE Composite vs. WhiteBIT Token
Performance |
Timeline |
NYSE Composite and WhiteBIT Token Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
WhiteBIT Token
Pair trading matchups for WhiteBIT Token
Pair Trading with NYSE Composite and WhiteBIT Token
The main advantage of trading using opposite NYSE Composite and WhiteBIT Token positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, WhiteBIT Token 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 WhiteBIT Token will offset losses from the drop in WhiteBIT Token's long position.NYSE Composite vs. Sphere Entertainment Co | NYSE Composite vs. Weibo Corp | NYSE Composite vs. BCE Inc | NYSE Composite vs. Pinterest |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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