Correlation Between Flux Power and TMT Acquisition
Can any of the company-specific risk be diversified away by investing in both Flux Power and TMT Acquisition 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 Flux Power and TMT Acquisition into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Flux Power Holdings and TMT Acquisition Corp, you can compare the effects of market volatilities on Flux Power and TMT Acquisition 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 Flux Power with a short position of TMT Acquisition. Check out your portfolio center. Please also check ongoing floating volatility patterns of Flux Power and TMT Acquisition.
Diversification Opportunities for Flux Power and TMT Acquisition
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Flux and TMT is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Flux Power Holdings and TMT Acquisition Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TMT Acquisition Corp and Flux Power 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 Flux Power Holdings are associated (or correlated) with TMT Acquisition. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TMT Acquisition Corp has no effect on the direction of Flux Power i.e., Flux Power and TMT Acquisition go up and down completely randomly.
Pair Corralation between Flux Power and TMT Acquisition
Given the investment horizon of 90 days Flux Power Holdings is expected to under-perform the TMT Acquisition. But the stock apears to be less risky and, when comparing its historical volatility, Flux Power Holdings is 2.62 times less risky than TMT Acquisition. The stock trades about -0.08 of its potential returns per unit of risk. The TMT Acquisition Corp is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 18.00 in TMT Acquisition Corp on September 3, 2024 and sell it today you would earn a total of 20.00 from holding TMT Acquisition Corp or generate 111.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 54.82% |
Values | Daily Returns |
Flux Power Holdings vs. TMT Acquisition Corp
Performance |
Timeline |
Flux Power Holdings |
TMT Acquisition Corp |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
OK
Flux Power and TMT Acquisition Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Flux Power and TMT Acquisition
The main advantage of trading using opposite Flux Power and TMT Acquisition positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flux Power position performs unexpectedly, TMT Acquisition 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 TMT Acquisition will offset losses from the drop in TMT Acquisition's long position.Flux Power vs. Espey Mfg Electronics | Flux Power vs. NeoVolta Warrant | Flux Power vs. Kimball Electronics | Flux Power vs. Hayward Holdings |
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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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