Correlation Between Franklin Small and Champlain Small
Can any of the company-specific risk be diversified away by investing in both Franklin 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 Franklin 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 Franklin Small Cap and Champlain Small, you can compare the effects of market volatilities on Franklin 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 Franklin Small with a short position of Champlain Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Small and Champlain Small.
Diversification Opportunities for Franklin Small and Champlain Small
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Franklin and Champlain is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Small Cap and Champlain Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Champlain Small and Franklin 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 Franklin Small Cap 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 Franklin Small i.e., Franklin Small and Champlain Small go up and down completely randomly.
Pair Corralation between Franklin Small and Champlain Small
Assuming the 90 days horizon Franklin Small Cap is expected to under-perform the Champlain Small. But the mutual fund apears to be less risky and, when comparing its historical volatility, Franklin Small Cap is 1.71 times less risky than Champlain Small. The mutual fund trades about -0.45 of its potential returns per unit of risk. The Champlain Small is currently generating about -0.2 of returns per unit of risk over similar time horizon. If you would invest 2,557 in Champlain Small on September 27, 2024 and sell it today you would lose (265.00) from holding Champlain Small or give up 10.36% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Small Cap vs. Champlain Small
Performance |
Timeline |
Franklin Small Cap |
Champlain Small |
Franklin Small and Champlain Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Small and Champlain Small
The main advantage of trading using opposite Franklin Small and Champlain Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin 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.Franklin Small vs. Glg Intl Small | Franklin Small vs. Sp Smallcap 600 | Franklin Small vs. Df Dent Small | Franklin Small vs. Guidemark Smallmid Cap |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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