Correlation Between National Storage and OAKTRSPECLENDNEW
Can any of the company-specific risk be diversified away by investing in both National Storage and OAKTRSPECLENDNEW 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 OAKTRSPECLENDNEW into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between National Storage Affiliates and OAKTRSPECLENDNEW, you can compare the effects of market volatilities on National Storage and OAKTRSPECLENDNEW 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 OAKTRSPECLENDNEW. Check out your portfolio center. Please also check ongoing floating volatility patterns of National Storage and OAKTRSPECLENDNEW.
Diversification Opportunities for National Storage and OAKTRSPECLENDNEW
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between National and OAKTRSPECLENDNEW is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding National Storage Affiliates and OAKTRSPECLENDNEW in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OAKTRSPECLENDNEW 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 Affiliates are associated (or correlated) with OAKTRSPECLENDNEW. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OAKTRSPECLENDNEW has no effect on the direction of National Storage i.e., National Storage and OAKTRSPECLENDNEW go up and down completely randomly.
Pair Corralation between National Storage and OAKTRSPECLENDNEW
Assuming the 90 days horizon National Storage Affiliates is expected to under-perform the OAKTRSPECLENDNEW. In addition to that, National Storage is 1.12 times more volatile than OAKTRSPECLENDNEW. It trades about -0.07 of its total potential returns per unit of risk. OAKTRSPECLENDNEW is currently generating about 0.06 per unit of volatility. If you would invest 1,391 in OAKTRSPECLENDNEW on September 20, 2024 and sell it today you would earn a total of 66.00 from holding OAKTRSPECLENDNEW or generate 4.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
National Storage Affiliates vs. OAKTRSPECLENDNEW
Performance |
Timeline |
National Storage Aff |
OAKTRSPECLENDNEW |
National Storage and OAKTRSPECLENDNEW Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with National Storage and OAKTRSPECLENDNEW
The main advantage of trading using opposite National Storage and OAKTRSPECLENDNEW positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if National Storage position performs unexpectedly, OAKTRSPECLENDNEW 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 OAKTRSPECLENDNEW will offset losses from the drop in OAKTRSPECLENDNEW's long position.National Storage vs. REXFORD INDREALTY DL 01 | National Storage vs. CubeSmart | National Storage vs. First Industrial Realty | National Storage vs. GLADSTONE LAND L 001 |
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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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