Correlation Between Peijia Medical and TTM TECHNOLOGIES
Can any of the company-specific risk be diversified away by investing in both Peijia Medical and TTM TECHNOLOGIES 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 Peijia Medical and TTM TECHNOLOGIES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Peijia Medical Limited and TTM TECHNOLOGIES, you can compare the effects of market volatilities on Peijia Medical and TTM TECHNOLOGIES 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 Peijia Medical with a short position of TTM TECHNOLOGIES. Check out your portfolio center. Please also check ongoing floating volatility patterns of Peijia Medical and TTM TECHNOLOGIES.
Diversification Opportunities for Peijia Medical and TTM TECHNOLOGIES
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Peijia and TTM is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Peijia Medical Limited and TTM TECHNOLOGIES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TTM TECHNOLOGIES and Peijia Medical 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 Peijia Medical Limited are associated (or correlated) with TTM TECHNOLOGIES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TTM TECHNOLOGIES has no effect on the direction of Peijia Medical i.e., Peijia Medical and TTM TECHNOLOGIES go up and down completely randomly.
Pair Corralation between Peijia Medical and TTM TECHNOLOGIES
Assuming the 90 days horizon Peijia Medical is expected to generate 1.07 times less return on investment than TTM TECHNOLOGIES. In addition to that, Peijia Medical is 2.83 times more volatile than TTM TECHNOLOGIES. It trades about 0.07 of its total potential returns per unit of risk. TTM TECHNOLOGIES is currently generating about 0.2 per unit of volatility. If you would invest 2,280 in TTM TECHNOLOGIES on October 25, 2024 and sell it today you would earn a total of 220.00 from holding TTM TECHNOLOGIES or generate 9.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Peijia Medical Limited vs. TTM TECHNOLOGIES
Performance |
Timeline |
Peijia Medical |
TTM TECHNOLOGIES |
Peijia Medical and TTM TECHNOLOGIES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Peijia Medical and TTM TECHNOLOGIES
The main advantage of trading using opposite Peijia Medical and TTM TECHNOLOGIES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Peijia Medical position performs unexpectedly, TTM TECHNOLOGIES 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 TTM TECHNOLOGIES will offset losses from the drop in TTM TECHNOLOGIES's long position.Peijia Medical vs. SILVER BULLET DATA | Peijia Medical vs. Teradata Corp | Peijia Medical vs. Sumitomo Mitsui Construction | Peijia Medical vs. Sterling Construction |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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