Correlation Between Moog and Park Electrochemical
Can any of the company-specific risk be diversified away by investing in both Moog and Park Electrochemical 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 Moog and Park Electrochemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Moog Inc and Park Electrochemical, you can compare the effects of market volatilities on Moog and Park Electrochemical 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 Moog with a short position of Park Electrochemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Moog and Park Electrochemical.
Diversification Opportunities for Moog and Park Electrochemical
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Moog and Park is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Moog Inc and Park Electrochemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Park Electrochemical and Moog 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 Moog Inc are associated (or correlated) with Park Electrochemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Park Electrochemical has no effect on the direction of Moog i.e., Moog and Park Electrochemical go up and down completely randomly.
Pair Corralation between Moog and Park Electrochemical
Assuming the 90 days horizon Moog Inc is expected to generate 1.53 times more return on investment than Park Electrochemical. However, Moog is 1.53 times more volatile than Park Electrochemical. It trades about 0.05 of its potential returns per unit of risk. Park Electrochemical is currently generating about 0.05 per unit of risk. If you would invest 20,710 in Moog Inc on September 13, 2024 and sell it today you would earn a total of 364.00 from holding Moog Inc or generate 1.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
Moog Inc vs. Park Electrochemical
Performance |
Timeline |
Moog Inc |
Park Electrochemical |
Moog and Park Electrochemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Moog and Park Electrochemical
The main advantage of trading using opposite Moog and Park Electrochemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Moog position performs unexpectedly, Park Electrochemical 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 Park Electrochemical will offset losses from the drop in Park Electrochemical's long position.The idea behind Moog Inc and Park Electrochemical pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Park Electrochemical vs. Novocure | Park Electrochemical vs. HubSpot | Park Electrochemical vs. DigitalOcean Holdings | Park Electrochemical vs. Appian Corp |
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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