Correlation Between Platinum Asia and Pimco New
Can any of the company-specific risk be diversified away by investing in both Platinum Asia and Pimco New 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 Platinum Asia and Pimco New into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Platinum Asia Investments and Pimco New York, you can compare the effects of market volatilities on Platinum Asia and Pimco New 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 Platinum Asia with a short position of Pimco New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Platinum Asia and Pimco New.
Diversification Opportunities for Platinum Asia and Pimco New
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Platinum and Pimco is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Platinum Asia Investments and Pimco New York in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pimco New York and Platinum 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 Platinum Asia Investments are associated (or correlated) with Pimco New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pimco New York has no effect on the direction of Platinum Asia i.e., Platinum Asia and Pimco New go up and down completely randomly.
Pair Corralation between Platinum Asia and Pimco New
Considering the 90-day investment horizon Platinum Asia Investments is expected to generate 1.8 times more return on investment than Pimco New. However, Platinum Asia is 1.8 times more volatile than Pimco New York. It trades about 0.0 of its potential returns per unit of risk. Pimco New York is currently generating about -0.06 per unit of risk. If you would invest 1,250 in Platinum Asia Investments on August 28, 2024 and sell it today you would lose (1.00) from holding Platinum Asia Investments or give up 0.08% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Platinum Asia Investments vs. Pimco New York
Performance |
| Timeline |
| Platinum Asia Investments |
| Pimco New York |
Platinum Asia and Pimco New Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Platinum Asia and Pimco New
The main advantage of trading using opposite Platinum Asia and Pimco New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Platinum Asia position performs unexpectedly, Pimco New 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 Pimco New will offset losses from the drop in Pimco New's long position.| Platinum Asia vs. The Gabelli Dividend | Platinum Asia vs. Voya Global Advantage | Platinum Asia vs. Invesco California Value | Platinum Asia vs. John Hancock Investors |
| Pimco New vs. Invesco Pennsylvania Value | Pimco New vs. Blackrock Muniholdings Ny | Pimco New vs. Eaton Vance National | Pimco New vs. Nuveen New York |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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