Correlation Between U-Haul Holding and Solution Financial
Can any of the company-specific risk be diversified away by investing in both U-Haul Holding and Solution Financial 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 U-Haul Holding and Solution Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between U Haul Holding and Solution Financial, you can compare the effects of market volatilities on U-Haul Holding and Solution Financial 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 U-Haul Holding with a short position of Solution Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of U-Haul Holding and Solution Financial.
Diversification Opportunities for U-Haul Holding and Solution Financial
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between U-Haul and Solution is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding U Haul Holding and Solution Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Solution Financial and U-Haul Holding 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 U Haul Holding are associated (or correlated) with Solution Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Solution Financial has no effect on the direction of U-Haul Holding i.e., U-Haul Holding and Solution Financial go up and down completely randomly.
Pair Corralation between U-Haul Holding and Solution Financial
Assuming the 90 days trading horizon U Haul Holding is expected to under-perform the Solution Financial. But the stock apears to be less risky and, when comparing its historical volatility, U Haul Holding is 1.61 times less risky than Solution Financial. The stock trades about -0.12 of its potential returns per unit of risk. The Solution Financial is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 21.00 in Solution Financial on August 24, 2024 and sell it today you would lose (1.00) from holding Solution Financial or give up 4.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
U Haul Holding vs. Solution Financial
Performance |
Timeline |
U Haul Holding |
Solution Financial |
U-Haul Holding and Solution Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with U-Haul Holding and Solution Financial
The main advantage of trading using opposite U-Haul Holding and Solution Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if U-Haul Holding position performs unexpectedly, Solution Financial 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 Solution Financial will offset losses from the drop in Solution Financial's long position.U-Haul Holding vs. Arq Inc | U-Haul Holding vs. Simon Property Group | U-Haul Holding vs. Balchem | U-Haul Holding vs. Weyco Group |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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