Correlation Between Value Fund and Small Company
Can any of the company-specific risk be diversified away by investing in both Value Fund and Small Company 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 Value Fund and Small Company into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Value Fund Investor and Small Pany Fund, you can compare the effects of market volatilities on Value Fund and Small Company 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 Value Fund with a short position of Small Company. Check out your portfolio center. Please also check ongoing floating volatility patterns of Value Fund and Small Company.
Diversification Opportunities for Value Fund and Small Company
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Value and Small is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Value Fund Investor and Small Pany Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Small Pany Fund and Value Fund 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 Value Fund Investor are associated (or correlated) with Small Company. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Small Pany Fund has no effect on the direction of Value Fund i.e., Value Fund and Small Company go up and down completely randomly.
Pair Corralation between Value Fund and Small Company
Assuming the 90 days horizon Value Fund is expected to generate 6.03 times less return on investment than Small Company. But when comparing it to its historical volatility, Value Fund Investor is 1.43 times less risky than Small Company. It trades about 0.01 of its potential returns per unit of risk. Small Pany Fund is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,405 in Small Pany Fund on November 2, 2024 and sell it today you would earn a total of 272.00 from holding Small Pany Fund or generate 19.36% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Value Fund Investor vs. Small Pany Fund
Performance |
| Timeline |
| Value Fund Investor |
| Small Pany Fund |
Value Fund and Small Company Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Value Fund and Small Company
The main advantage of trading using opposite Value Fund and Small Company positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Value Fund position performs unexpectedly, Small Company 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 Small Company will offset losses from the drop in Small Company's long position.| Value Fund vs. Vanguard Value Index | Value Fund vs. Dodge Cox Stock | Value Fund vs. American Mutual Fund | Value Fund vs. American Funds American |
| Small Company vs. Small Cap Value | Small Company vs. Real Estate Fund | Small Company vs. Emerging Markets Fund | Small Company vs. Equity Growth Fund |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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