Correlation Between Small Company and Value Fund
Can any of the company-specific risk be diversified away by investing in both Small Company and Value Fund 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 Small Company and Value Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Small Pany Fund and Value Fund Investor, you can compare the effects of market volatilities on Small Company and Value Fund 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 Small Company with a short position of Value Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Small Company and Value Fund.
Diversification Opportunities for Small Company and Value Fund
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Small and Value is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Small Pany Fund and Value Fund Investor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Value Fund Investor and Small Company 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 Small Pany Fund are associated (or correlated) with Value Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Value Fund Investor has no effect on the direction of Small Company i.e., Small Company and Value Fund go up and down completely randomly.
Pair Corralation between Small Company and Value Fund
Assuming the 90 days horizon Small Pany Fund is expected to generate 1.38 times more return on investment than Value Fund. However, Small Company is 1.38 times more volatile than Value Fund Investor. It trades about 0.09 of its potential returns per unit of risk. Value Fund Investor is currently generating about 0.11 per unit of risk. If you would invest 1,566 in Small Pany Fund on May 12, 2025 and sell it today you would earn a total of 82.00 from holding Small Pany Fund or generate 5.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Small Pany Fund vs. Value Fund Investor
Performance |
Timeline |
Small Pany Fund |
Value Fund Investor |
Small Company and Value Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Small Company and Value Fund
The main advantage of trading using opposite Small Company and Value Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Small Company position performs unexpectedly, Value Fund 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 Value Fund will offset losses from the drop in Value Fund's long position.Small Company vs. Small Cap Value | Small Company vs. Real Estate Fund | Small Company vs. Emerging Markets Fund | Small Company vs. Equity Growth Fund |
Value Fund vs. International Growth Fund | Value Fund vs. Growth Fund Investor | Value Fund vs. Equity Income Fund | Value Fund vs. Ultra Fund Investor |
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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