Correlation Between MKDWELL Tech and BitFuFu
Can any of the company-specific risk be diversified away by investing in both MKDWELL Tech and BitFuFu 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 MKDWELL Tech and BitFuFu into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MKDWELL Tech Ordinary and BitFuFu Class A, you can compare the effects of market volatilities on MKDWELL Tech and BitFuFu 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 MKDWELL Tech with a short position of BitFuFu. Check out your portfolio center. Please also check ongoing floating volatility patterns of MKDWELL Tech and BitFuFu.
Diversification Opportunities for MKDWELL Tech and BitFuFu
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between MKDWELL and BitFuFu is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding MKDWELL Tech Ordinary and BitFuFu Class A in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BitFuFu Class A and MKDWELL Tech 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 MKDWELL Tech Ordinary are associated (or correlated) with BitFuFu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BitFuFu Class A has no effect on the direction of MKDWELL Tech i.e., MKDWELL Tech and BitFuFu go up and down completely randomly.
Pair Corralation between MKDWELL Tech and BitFuFu
Given the investment horizon of 90 days MKDWELL Tech Ordinary is expected to under-perform the BitFuFu. In addition to that, MKDWELL Tech is 1.09 times more volatile than BitFuFu Class A. It trades about -0.03 of its total potential returns per unit of risk. BitFuFu Class A is currently generating about 0.07 per unit of volatility. If you would invest 451.00 in BitFuFu Class A on August 30, 2024 and sell it today you would earn a total of 73.00 from holding BitFuFu Class A or generate 16.19% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
MKDWELL Tech Ordinary vs. BitFuFu Class A
Performance |
| Timeline |
| MKDWELL Tech Ordinary |
| BitFuFu Class A |
MKDWELL Tech and BitFuFu Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with MKDWELL Tech and BitFuFu
The main advantage of trading using opposite MKDWELL Tech and BitFuFu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MKDWELL Tech position performs unexpectedly, BitFuFu 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 BitFuFu will offset losses from the drop in BitFuFu's long position.| MKDWELL Tech vs. Primoris Services | MKDWELL Tech vs. Kaltura | MKDWELL Tech vs. Q2 Holdings | MKDWELL Tech vs. Tyson Foods |
| BitFuFu vs. MGIC Investment Corp | BitFuFu vs. Braskem SA Class | BitFuFu vs. Maiden Holdings | BitFuFu vs. Aspen Insurance Holdings |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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