Correlation Between WHA Industrial and MFC Industrial
Can any of the company-specific risk be diversified away by investing in both WHA Industrial and MFC Industrial 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 WHA Industrial and MFC Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WHA Industrial Leasehold and MFC Industrial Investment, you can compare the effects of market volatilities on WHA Industrial and MFC Industrial 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 WHA Industrial with a short position of MFC Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of WHA Industrial and MFC Industrial.
Diversification Opportunities for WHA Industrial and MFC Industrial
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between WHA and MFC is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding WHA Industrial Leasehold and MFC Industrial Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MFC Industrial Investment and WHA Industrial 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 WHA Industrial Leasehold are associated (or correlated) with MFC Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MFC Industrial Investment has no effect on the direction of WHA Industrial i.e., WHA Industrial and MFC Industrial go up and down completely randomly.
Pair Corralation between WHA Industrial and MFC Industrial
Assuming the 90 days trading horizon WHA Industrial Leasehold is expected to generate 0.13 times more return on investment than MFC Industrial. However, WHA Industrial Leasehold is 7.52 times less risky than MFC Industrial. It trades about -0.11 of its potential returns per unit of risk. MFC Industrial Investment is currently generating about -0.14 per unit of risk. If you would invest 643.00 in WHA Industrial Leasehold on December 29, 2024 and sell it today you would lose (78.00) from holding WHA Industrial Leasehold or give up 12.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
WHA Industrial Leasehold vs. MFC Industrial Investment
Performance |
Timeline |
WHA Industrial Leasehold |
MFC Industrial Investment |
WHA Industrial and MFC Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WHA Industrial and MFC Industrial
The main advantage of trading using opposite WHA Industrial and MFC Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WHA Industrial position performs unexpectedly, MFC Industrial 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 MFC Industrial will offset losses from the drop in MFC Industrial's long position.WHA Industrial vs. Quality Houses Property | WHA Industrial vs. Ticon Freehold and | WHA Industrial vs. CPN Retail Growth | WHA Industrial vs. Prospect Logistics and |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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