Correlation Between CBIZ and Wilhelmina
Can any of the company-specific risk be diversified away by investing in both CBIZ and Wilhelmina 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 CBIZ and Wilhelmina into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CBIZ Inc and Wilhelmina, you can compare the effects of market volatilities on CBIZ and Wilhelmina 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 CBIZ with a short position of Wilhelmina. Check out your portfolio center. Please also check ongoing floating volatility patterns of CBIZ and Wilhelmina.
Diversification Opportunities for CBIZ and Wilhelmina
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between CBIZ and Wilhelmina is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding CBIZ Inc and Wilhelmina in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wilhelmina and CBIZ 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 CBIZ Inc are associated (or correlated) with Wilhelmina. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wilhelmina has no effect on the direction of CBIZ i.e., CBIZ and Wilhelmina go up and down completely randomly.
Pair Corralation between CBIZ and Wilhelmina
Considering the 90-day investment horizon CBIZ Inc is expected to generate 0.61 times more return on investment than Wilhelmina. However, CBIZ Inc is 1.64 times less risky than Wilhelmina. It trades about 0.17 of its potential returns per unit of risk. Wilhelmina is currently generating about -0.11 per unit of risk. If you would invest 6,724 in CBIZ Inc on September 18, 2024 and sell it today you would earn a total of 1,350 from holding CBIZ Inc or generate 20.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
CBIZ Inc vs. Wilhelmina
Performance |
Timeline |
CBIZ Inc |
Wilhelmina |
CBIZ and Wilhelmina Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CBIZ and Wilhelmina
The main advantage of trading using opposite CBIZ and Wilhelmina positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CBIZ position performs unexpectedly, Wilhelmina 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 Wilhelmina will offset losses from the drop in Wilhelmina's long position.The idea behind CBIZ Inc and Wilhelmina pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Wilhelmina vs. Genpact Limited | Wilhelmina vs. Broadridge Financial Solutions | Wilhelmina vs. BrightView Holdings | Wilhelmina vs. First Advantage Corp |
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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