Correlation Between Aprogen Healthcare and PLAYWITH
Can any of the company-specific risk be diversified away by investing in both Aprogen Healthcare and PLAYWITH 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 Aprogen Healthcare and PLAYWITH into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aprogen Healthcare Games and PLAYWITH, you can compare the effects of market volatilities on Aprogen Healthcare and PLAYWITH 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 Aprogen Healthcare with a short position of PLAYWITH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aprogen Healthcare and PLAYWITH.
Diversification Opportunities for Aprogen Healthcare and PLAYWITH
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Aprogen and PLAYWITH is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Aprogen Healthcare Games and PLAYWITH in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PLAYWITH and Aprogen Healthcare 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 Aprogen Healthcare Games are associated (or correlated) with PLAYWITH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PLAYWITH has no effect on the direction of Aprogen Healthcare i.e., Aprogen Healthcare and PLAYWITH go up and down completely randomly.
Pair Corralation between Aprogen Healthcare and PLAYWITH
Assuming the 90 days trading horizon Aprogen Healthcare Games is expected to generate 1.65 times more return on investment than PLAYWITH. However, Aprogen Healthcare is 1.65 times more volatile than PLAYWITH. It trades about -0.1 of its potential returns per unit of risk. PLAYWITH is currently generating about -0.29 per unit of risk. If you would invest 51,400 in Aprogen Healthcare Games on November 5, 2024 and sell it today you would lose (2,000) from holding Aprogen Healthcare Games or give up 3.89% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Aprogen Healthcare Games vs. PLAYWITH
Performance |
| Timeline |
| Aprogen Healthcare Games |
| PLAYWITH |
Aprogen Healthcare and PLAYWITH Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Aprogen Healthcare and PLAYWITH
The main advantage of trading using opposite Aprogen Healthcare and PLAYWITH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aprogen Healthcare position performs unexpectedly, PLAYWITH 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 PLAYWITH will offset losses from the drop in PLAYWITH's long position.| Aprogen Healthcare vs. Puloon Technology | Aprogen Healthcare vs. RF Materials Co | Aprogen Healthcare vs. Kolon Plastics | Aprogen Healthcare vs. PH Tech Co |
| PLAYWITH vs. TK Chemical | PLAYWITH vs. Daejung Chemicals Metals | PLAYWITH vs. Sung Bo Chemicals | PLAYWITH vs. Finebesteel |
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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