Correlation Between Siit Small and Champlain Small
Can any of the company-specific risk be diversified away by investing in both Siit Small and Champlain Small 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 Siit Small and Champlain Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siit Small Mid and Champlain Small, you can compare the effects of market volatilities on Siit Small and Champlain Small 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 Siit Small with a short position of Champlain Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit Small and Champlain Small.
Diversification Opportunities for Siit Small and Champlain Small
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Siit and Champlain is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Siit Small Mid and Champlain Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Champlain Small and Siit Small 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 Siit Small Mid are associated (or correlated) with Champlain Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Champlain Small has no effect on the direction of Siit Small i.e., Siit Small and Champlain Small go up and down completely randomly.
Pair Corralation between Siit Small and Champlain Small
Assuming the 90 days horizon Siit Small Mid is expected to generate 0.93 times more return on investment than Champlain Small. However, Siit Small Mid is 1.08 times less risky than Champlain Small. It trades about 0.06 of its potential returns per unit of risk. Champlain Small is currently generating about 0.05 per unit of risk. If you would invest 855.00 in Siit Small Mid on September 13, 2024 and sell it today you would earn a total of 290.00 from holding Siit Small Mid or generate 33.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Siit Small Mid vs. Champlain Small
Performance |
Timeline |
Siit Small Mid |
Champlain Small |
Siit Small and Champlain Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siit Small and Champlain Small
The main advantage of trading using opposite Siit Small and Champlain Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit Small position performs unexpectedly, Champlain Small 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 Champlain Small will offset losses from the drop in Champlain Small's long position.Siit Small vs. Financials Ultrasector Profund | Siit Small vs. John Hancock Financial | Siit Small vs. Mesirow Financial Small | Siit Small vs. Davis Financial Fund |
Champlain Small vs. The Hartford Midcap | Champlain Small vs. Mfs Emerging Markets | Champlain Small vs. Wells Fargo Special | Champlain Small vs. Washington Mutual Investors |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Other Complementary Tools
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios |