Correlation Between Putnam High and Baron Small
Can any of the company-specific risk be diversified away by investing in both Putnam High and Baron 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 Putnam High and Baron Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Putnam High Income and Baron Small Cap, you can compare the effects of market volatilities on Putnam High and Baron 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 Putnam High with a short position of Baron Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putnam High and Baron Small.
Diversification Opportunities for Putnam High and Baron Small
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Putnam and Baron is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Putnam High Income and Baron Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baron Small Cap and Putnam High 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 Putnam High Income are associated (or correlated) with Baron Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baron Small Cap has no effect on the direction of Putnam High i.e., Putnam High and Baron Small go up and down completely randomly.
Pair Corralation between Putnam High and Baron Small
Considering the 90-day investment horizon Putnam High Income is expected to generate 0.32 times more return on investment than Baron Small. However, Putnam High Income is 3.14 times less risky than Baron Small. It trades about -0.05 of its potential returns per unit of risk. Baron Small Cap is currently generating about -0.09 per unit of risk. If you would invest 664.00 in Putnam High Income on September 28, 2024 and sell it today you would lose (12.00) from holding Putnam High Income or give up 1.81% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.41% |
Values | Daily Returns |
Putnam High Income vs. Baron Small Cap
Performance |
Timeline |
Putnam High Income |
Baron Small Cap |
Putnam High and Baron Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Putnam High and Baron Small
The main advantage of trading using opposite Putnam High and Baron Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putnam High position performs unexpectedly, Baron 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 Baron Small will offset losses from the drop in Baron Small's long position.Putnam High vs. RiverNorthDoubleLine Strategic Opportunity | Putnam High vs. Cornerstone Strategic Return | Putnam High vs. Oxford Lane Capital | Putnam High vs. Horizon Technology Finance |
Baron Small vs. Baron Real Estate | Baron Small vs. Baron Real Estate | Baron Small vs. Baron Real Estate | Baron Small vs. Baron Asset 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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