Correlation Between XPAC Acquisition and VMG Consumer
Can any of the company-specific risk be diversified away by investing in both XPAC Acquisition and VMG Consumer 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 XPAC Acquisition and VMG Consumer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between XPAC Acquisition Corp and VMG Consumer Acquisition, you can compare the effects of market volatilities on XPAC Acquisition and VMG Consumer 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 XPAC Acquisition with a short position of VMG Consumer. Check out your portfolio center. Please also check ongoing floating volatility patterns of XPAC Acquisition and VMG Consumer.
Diversification Opportunities for XPAC Acquisition and VMG Consumer
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between XPAC and VMG is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding XPAC Acquisition Corp and VMG Consumer Acquisition in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VMG Consumer Acquisition and XPAC Acquisition 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 XPAC Acquisition Corp are associated (or correlated) with VMG Consumer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VMG Consumer Acquisition has no effect on the direction of XPAC Acquisition i.e., XPAC Acquisition and VMG Consumer go up and down completely randomly.
Pair Corralation between XPAC Acquisition and VMG Consumer
If you would invest (100.00) in VMG Consumer Acquisition on December 5, 2024 and sell it today you would earn a total of 100.00 from holding VMG Consumer Acquisition or generate -100.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
XPAC Acquisition Corp vs. VMG Consumer Acquisition
Performance |
Timeline |
XPAC Acquisition Corp |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
VMG Consumer Acquisition |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
XPAC Acquisition and VMG Consumer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with XPAC Acquisition and VMG Consumer
The main advantage of trading using opposite XPAC Acquisition and VMG Consumer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XPAC Acquisition position performs unexpectedly, VMG Consumer 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 VMG Consumer will offset losses from the drop in VMG Consumer's long position.The idea behind XPAC Acquisition Corp and VMG Consumer 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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