Correlation Between Templeton Growth and Sparta Capital
Can any of the company-specific risk be diversified away by investing in both Templeton Growth and Sparta Capital 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 Templeton Growth and Sparta Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Templeton Growth Fund and Sparta Capital, you can compare the effects of market volatilities on Templeton Growth and Sparta Capital 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 Templeton Growth with a short position of Sparta Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Templeton Growth and Sparta Capital.
Diversification Opportunities for Templeton Growth and Sparta Capital
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Templeton and Sparta is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Templeton Growth Fund and Sparta Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sparta Capital and Templeton Growth 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 Templeton Growth Fund are associated (or correlated) with Sparta Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sparta Capital has no effect on the direction of Templeton Growth i.e., Templeton Growth and Sparta Capital go up and down completely randomly.
Pair Corralation between Templeton Growth and Sparta Capital
Assuming the 90 days horizon Templeton Growth is expected to generate 8.29 times less return on investment than Sparta Capital. But when comparing it to its historical volatility, Templeton Growth Fund is 21.0 times less risky than Sparta Capital. It trades about 0.02 of its potential returns per unit of risk. Sparta Capital is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 1.03 in Sparta Capital on December 30, 2024 and sell it today you would lose (0.92) from holding Sparta Capital or give up 89.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Templeton Growth Fund vs. Sparta Capital
Performance |
Timeline |
Templeton Growth |
Sparta Capital |
Templeton Growth and Sparta Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Templeton Growth and Sparta Capital
The main advantage of trading using opposite Templeton Growth and Sparta Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Templeton Growth position performs unexpectedly, Sparta Capital 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 Sparta Capital will offset losses from the drop in Sparta Capital's long position.Templeton Growth vs. Health Care Ultrasector | Templeton Growth vs. Fidelity Advisor Health | Templeton Growth vs. Deutsche Health And | Templeton Growth vs. Invesco Global Health |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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