Correlation Between GM and PHP Ventures
Can any of the company-specific risk be diversified away by investing in both GM and PHP Ventures 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 PHP Ventures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and PHP Ventures Acquisition, you can compare the effects of market volatilities on GM and PHP Ventures 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 PHP Ventures. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and PHP Ventures.
Diversification Opportunities for GM and PHP Ventures
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between GM and PHP is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and PHP Ventures Acquisition in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PHP Ventures Acquisition 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 PHP Ventures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PHP Ventures Acquisition has no effect on the direction of GM i.e., GM and PHP Ventures go up and down completely randomly.
Pair Corralation between GM and PHP Ventures
Allowing for the 90-day total investment horizon General Motors is expected to generate 7.22 times more return on investment than PHP Ventures. However, GM is 7.22 times more volatile than PHP Ventures Acquisition. It trades about 0.06 of its potential returns per unit of risk. PHP Ventures Acquisition is currently generating about 0.11 per unit of risk. If you would invest 3,185 in General Motors on September 18, 2024 and sell it today you would earn a total of 2,039 from holding General Motors or generate 64.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 28.89% |
Values | Daily Returns |
General Motors vs. PHP Ventures Acquisition
Performance |
Timeline |
General Motors |
PHP Ventures Acquisition |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
GM and PHP Ventures Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and PHP Ventures
The main advantage of trading using opposite GM and PHP Ventures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, PHP Ventures 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 PHP Ventures will offset losses from the drop in PHP Ventures' long position.The idea behind General Motors and PHP Ventures Acquisition 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.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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