Correlation Between Putnam Asia and Fidelity Advisor
Can any of the company-specific risk be diversified away by investing in both Putnam Asia and Fidelity Advisor 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 Asia and Fidelity Advisor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Putnam Asia Pacific and Fidelity Advisor Technology, you can compare the effects of market volatilities on Putnam Asia and Fidelity Advisor 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 Asia with a short position of Fidelity Advisor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Putnam Asia and Fidelity Advisor.
Diversification Opportunities for Putnam Asia and Fidelity Advisor
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Putnam and Fidelity is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Putnam Asia Pacific and Fidelity Advisor Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Advisor Tec and Putnam Asia 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 Asia Pacific are associated (or correlated) with Fidelity Advisor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Advisor Tec has no effect on the direction of Putnam Asia i.e., Putnam Asia and Fidelity Advisor go up and down completely randomly.
Pair Corralation between Putnam Asia and Fidelity Advisor
Assuming the 90 days horizon Putnam Asia Pacific is expected to under-perform the Fidelity Advisor. But the mutual fund apears to be less risky and, when comparing its historical volatility, Putnam Asia Pacific is 4.28 times less risky than Fidelity Advisor. The mutual fund trades about -0.04 of its potential returns per unit of risk. The Fidelity Advisor Technology is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 12,014 in Fidelity Advisor Technology on September 29, 2024 and sell it today you would earn a total of 179.00 from holding Fidelity Advisor Technology or generate 1.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Putnam Asia Pacific vs. Fidelity Advisor Technology
Performance |
Timeline |
Putnam Asia Pacific |
Fidelity Advisor Tec |
Putnam Asia and Fidelity Advisor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Putnam Asia and Fidelity Advisor
The main advantage of trading using opposite Putnam Asia and Fidelity Advisor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Putnam Asia position performs unexpectedly, Fidelity Advisor 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 Fidelity Advisor will offset losses from the drop in Fidelity Advisor's long position.Putnam Asia vs. Sentinel Small Pany | Putnam Asia vs. Tiaa Cref Small Cap Blend | Putnam Asia vs. Jhancock Diversified Macro | Putnam Asia vs. Delaware Limited Term Diversified |
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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 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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