Correlation Between AGNC INVESTMENT and Playmates Toys
Can any of the company-specific risk be diversified away by investing in both AGNC INVESTMENT and Playmates Toys 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 AGNC INVESTMENT and Playmates Toys into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AGNC INVESTMENT and Playmates Toys Limited, you can compare the effects of market volatilities on AGNC INVESTMENT and Playmates Toys 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 AGNC INVESTMENT with a short position of Playmates Toys. Check out your portfolio center. Please also check ongoing floating volatility patterns of AGNC INVESTMENT and Playmates Toys.
Diversification Opportunities for AGNC INVESTMENT and Playmates Toys
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between AGNC and Playmates is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding AGNC INVESTMENT and Playmates Toys Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Playmates Toys and AGNC INVESTMENT 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 AGNC INVESTMENT are associated (or correlated) with Playmates Toys. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Playmates Toys has no effect on the direction of AGNC INVESTMENT i.e., AGNC INVESTMENT and Playmates Toys go up and down completely randomly.
Pair Corralation between AGNC INVESTMENT and Playmates Toys
Assuming the 90 days trading horizon AGNC INVESTMENT is expected to generate 15.86 times less return on investment than Playmates Toys. But when comparing it to its historical volatility, AGNC INVESTMENT is 5.15 times less risky than Playmates Toys. It trades about 0.02 of its potential returns per unit of risk. Playmates Toys Limited is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 1.32 in Playmates Toys Limited on October 24, 2024 and sell it today you would earn a total of 5.58 from holding Playmates Toys Limited or generate 422.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
AGNC INVESTMENT vs. Playmates Toys Limited
Performance |
Timeline |
AGNC INVESTMENT |
Playmates Toys |
AGNC INVESTMENT and Playmates Toys Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AGNC INVESTMENT and Playmates Toys
The main advantage of trading using opposite AGNC INVESTMENT and Playmates Toys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AGNC INVESTMENT position performs unexpectedly, Playmates Toys 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 Playmates Toys will offset losses from the drop in Playmates Toys' long position.AGNC INVESTMENT vs. RCI Hospitality Holdings | AGNC INVESTMENT vs. SENECA FOODS A | AGNC INVESTMENT vs. PURE FOODS TASMANIA | AGNC INVESTMENT vs. United Natural Foods |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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