Correlation Between GM and Park Ha
Can any of the company-specific risk be diversified away by investing in both GM and Park Ha 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 GM and Park Ha into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Park Ha Biological, you can compare the effects of market volatilities on GM and Park Ha 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 GM with a short position of Park Ha. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Park Ha.
Diversification Opportunities for GM and Park Ha
Very good diversification
The 3 months correlation between GM and Park is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Park Ha Biological in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Park Ha Biological and GM 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 General Motors are associated (or correlated) with Park Ha. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Park Ha Biological has no effect on the direction of GM i.e., GM and Park Ha go up and down completely randomly.
Pair Corralation between GM and Park Ha
Allowing for the 90-day total investment horizon GM is expected to generate 7.56 times less return on investment than Park Ha. But when comparing it to its historical volatility, General Motors is 5.08 times less risky than Park Ha. It trades about 0.03 of its potential returns per unit of risk. Park Ha Biological is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 407.00 in Park Ha Biological on May 7, 2025 and sell it today you would lose (330.00) from holding Park Ha Biological or give up 81.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 66.52% |
Values | Daily Returns |
General Motors vs. Park Ha Biological
Performance |
Timeline |
General Motors |
Park Ha Biological |
GM and Park Ha Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Park Ha
The main advantage of trading using opposite GM and Park Ha positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Park Ha 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 Ha will offset losses from the drop in Park Ha's long position.The idea behind General Motors and Park Ha Biological 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 Ha vs. Colgate Palmolive | Park Ha vs. Estee Lauder Companies | Park Ha vs. Procter Gamble | Park Ha vs. United Guardian |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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