Correlation Between Signal Hill and FG Merger
Can any of the company-specific risk be diversified away by investing in both Signal Hill and FG Merger 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 Signal Hill and FG Merger into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Signal Hill Acquisition and FG Merger Corp, you can compare the effects of market volatilities on Signal Hill and FG Merger 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 Signal Hill with a short position of FG Merger. Check out your portfolio center. Please also check ongoing floating volatility patterns of Signal Hill and FG Merger.
Diversification Opportunities for Signal Hill and FG Merger
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Signal and FGMCW is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Signal Hill Acquisition and FG Merger Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FG Merger Corp and Signal Hill 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 Signal Hill Acquisition are associated (or correlated) with FG Merger. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FG Merger Corp has no effect on the direction of Signal Hill i.e., Signal Hill and FG Merger go up and down completely randomly.
Pair Corralation between Signal Hill and FG Merger
If you would invest 10.00 in FG Merger Corp on September 17, 2024 and sell it today you would earn a total of 0.00 from holding FG Merger Corp or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Signal Hill Acquisition vs. FG Merger Corp
Performance |
Timeline |
Signal Hill Acquisition |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
FG Merger Corp |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Signal Hill and FG Merger Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Signal Hill and FG Merger
The main advantage of trading using opposite Signal Hill and FG Merger positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Signal Hill position performs unexpectedly, FG Merger 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 FG Merger will offset losses from the drop in FG Merger's long position.The idea behind Signal Hill Acquisition and FG Merger Corp 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.FG Merger vs. Citi Trends | FG Merger vs. The Gap, | FG Merger vs. Highway Holdings Limited | FG Merger vs. Under Armour C |
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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