Correlation Between Buffalo High and Sterling Capital
Can any of the company-specific risk be diversified away by investing in both Buffalo High and Sterling Capital 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 Buffalo High and Sterling Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Buffalo High Yield and Sterling Capital Short, you can compare the effects of market volatilities on Buffalo High and Sterling Capital 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 Buffalo High with a short position of Sterling Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Buffalo High and Sterling Capital.
Diversification Opportunities for Buffalo High and Sterling Capital
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Buffalo and Sterling is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Buffalo High Yield and Sterling Capital Short in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sterling Capital Short and Buffalo High 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 Buffalo High Yield are associated (or correlated) with Sterling Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sterling Capital Short has no effect on the direction of Buffalo High i.e., Buffalo High and Sterling Capital go up and down completely randomly.
Pair Corralation between Buffalo High and Sterling Capital
Assuming the 90 days horizon Buffalo High Yield is expected to generate 1.07 times more return on investment than Sterling Capital. However, Buffalo High is 1.07 times more volatile than Sterling Capital Short. It trades about 0.24 of its potential returns per unit of risk. Sterling Capital Short is currently generating about 0.02 per unit of risk. If you would invest 1,067 in Buffalo High Yield on September 13, 2024 and sell it today you would earn a total of 20.00 from holding Buffalo High Yield or generate 1.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Buffalo High Yield vs. Sterling Capital Short
Performance |
Timeline |
Buffalo High Yield |
Sterling Capital Short |
Buffalo High and Sterling Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Buffalo High and Sterling Capital
The main advantage of trading using opposite Buffalo High and Sterling Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Buffalo High position performs unexpectedly, Sterling Capital 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 Sterling Capital will offset losses from the drop in Sterling Capital's long position.Buffalo High vs. Buffalo Flexible Income | Buffalo High vs. Buffalo Growth Fund | Buffalo High vs. Buffalo Mid Cap | Buffalo High vs. Buffalo Emerging Opportunities |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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