Correlation Between National Storage and MFF Capital
Can any of the company-specific risk be diversified away by investing in both National Storage and MFF Capital 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 National Storage and MFF Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between National Storage REIT and MFF Capital Investments, you can compare the effects of market volatilities on National Storage and MFF Capital 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 National Storage with a short position of MFF Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of National Storage and MFF Capital.
Diversification Opportunities for National Storage and MFF Capital
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between National and MFF is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding National Storage REIT and MFF Capital Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MFF Capital Investments and National Storage 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 National Storage REIT are associated (or correlated) with MFF Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MFF Capital Investments has no effect on the direction of National Storage i.e., National Storage and MFF Capital go up and down completely randomly.
Pair Corralation between National Storage and MFF Capital
Assuming the 90 days trading horizon National Storage is expected to generate 2.01 times less return on investment than MFF Capital. But when comparing it to its historical volatility, National Storage REIT is 1.61 times less risky than MFF Capital. It trades about 0.15 of its potential returns per unit of risk. MFF Capital Investments is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 443.00 in MFF Capital Investments on October 11, 2024 and sell it today you would earn a total of 22.00 from holding MFF Capital Investments or generate 4.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.0% |
Values | Daily Returns |
National Storage REIT vs. MFF Capital Investments
Performance |
Timeline |
National Storage REIT |
MFF Capital Investments |
National Storage and MFF Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with National Storage and MFF Capital
The main advantage of trading using opposite National Storage and MFF Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if National Storage position performs unexpectedly, MFF Capital 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 MFF Capital will offset losses from the drop in MFF Capital's long position.National Storage vs. Falcon Metals | National Storage vs. Bailador Technology Invest | National Storage vs. Retail Food Group | National Storage vs. Computershare |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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