Correlation Between A SPAC and Mountain I
Can any of the company-specific risk be diversified away by investing in both A SPAC and Mountain I 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 A SPAC and Mountain I into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between A SPAC II and Mountain I Acquisition, you can compare the effects of market volatilities on A SPAC and Mountain I 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 A SPAC with a short position of Mountain I. Check out your portfolio center. Please also check ongoing floating volatility patterns of A SPAC and Mountain I.
Diversification Opportunities for A SPAC and Mountain I
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ASCB and Mountain is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding A SPAC II and Mountain I Acquisition in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mountain I Acquisition and A SPAC 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 A SPAC II are associated (or correlated) with Mountain I. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mountain I Acquisition has no effect on the direction of A SPAC i.e., A SPAC and Mountain I go up and down completely randomly.
Pair Corralation between A SPAC and Mountain I
Given the investment horizon of 90 days A SPAC II is expected to generate 6.25 times more return on investment than Mountain I. However, A SPAC is 6.25 times more volatile than Mountain I Acquisition. It trades about 0.01 of its potential returns per unit of risk. Mountain I Acquisition is currently generating about 0.03 per unit of risk. If you would invest 1,089 in A SPAC II on November 5, 2024 and sell it today you would earn a total of 16.00 from holding A SPAC II or generate 1.47% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 80.9% |
| Values | Daily Returns |
A SPAC II vs. Mountain I Acquisition
Performance |
| Timeline |
| A SPAC II |
| Mountain I Acquisition |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
A SPAC and Mountain I Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with A SPAC and Mountain I
The main advantage of trading using opposite A SPAC and Mountain I positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if A SPAC position performs unexpectedly, Mountain I 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 Mountain I will offset losses from the drop in Mountain I's long position.The idea behind A SPAC II and Mountain I 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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