Correlation Between PLAYMATES TOYS and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both PLAYMATES TOYS and Samsung Electronics 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 PLAYMATES TOYS and Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PLAYMATES TOYS and Samsung Electronics Co, you can compare the effects of market volatilities on PLAYMATES TOYS and Samsung Electronics 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 PLAYMATES TOYS with a short position of Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of PLAYMATES TOYS and Samsung Electronics.
Diversification Opportunities for PLAYMATES TOYS and Samsung Electronics
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between PLAYMATES and Samsung is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding PLAYMATES TOYS and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics and PLAYMATES TOYS 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 PLAYMATES TOYS are associated (or correlated) with Samsung Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Electronics has no effect on the direction of PLAYMATES TOYS i.e., PLAYMATES TOYS and Samsung Electronics go up and down completely randomly.
Pair Corralation between PLAYMATES TOYS and Samsung Electronics
Assuming the 90 days trading horizon PLAYMATES TOYS is expected to generate 1.4 times more return on investment than Samsung Electronics. However, PLAYMATES TOYS is 1.4 times more volatile than Samsung Electronics Co. It trades about 0.0 of its potential returns per unit of risk. Samsung Electronics Co is currently generating about -0.03 per unit of risk. If you would invest 7.20 in PLAYMATES TOYS on October 7, 2024 and sell it today you would lose (0.20) from holding PLAYMATES TOYS or give up 2.78% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PLAYMATES TOYS vs. Samsung Electronics Co
Performance |
Timeline |
PLAYMATES TOYS |
Samsung Electronics |
PLAYMATES TOYS and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PLAYMATES TOYS and Samsung Electronics
The main advantage of trading using opposite PLAYMATES TOYS and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PLAYMATES TOYS position performs unexpectedly, Samsung Electronics 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 Samsung Electronics will offset losses from the drop in Samsung Electronics' long position.PLAYMATES TOYS vs. Zurich Insurance Group | PLAYMATES TOYS vs. REVO INSURANCE SPA | PLAYMATES TOYS vs. China Communications Services | PLAYMATES TOYS vs. Computershare Limited |
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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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