Correlation Between MITSUBISHI STEEL and BURLINGTON STORES
Can any of the company-specific risk be diversified away by investing in both MITSUBISHI STEEL and BURLINGTON STORES 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 MITSUBISHI STEEL and BURLINGTON STORES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MITSUBISHI STEEL MFG and BURLINGTON STORES, you can compare the effects of market volatilities on MITSUBISHI STEEL and BURLINGTON STORES 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 MITSUBISHI STEEL with a short position of BURLINGTON STORES. Check out your portfolio center. Please also check ongoing floating volatility patterns of MITSUBISHI STEEL and BURLINGTON STORES.
Diversification Opportunities for MITSUBISHI STEEL and BURLINGTON STORES
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between MITSUBISHI and BURLINGTON is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding MITSUBISHI STEEL MFG and BURLINGTON STORES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BURLINGTON STORES and MITSUBISHI STEEL 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 MITSUBISHI STEEL MFG are associated (or correlated) with BURLINGTON STORES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BURLINGTON STORES has no effect on the direction of MITSUBISHI STEEL i.e., MITSUBISHI STEEL and BURLINGTON STORES go up and down completely randomly.
Pair Corralation between MITSUBISHI STEEL and BURLINGTON STORES
Assuming the 90 days horizon MITSUBISHI STEEL MFG is expected to under-perform the BURLINGTON STORES. But the stock apears to be less risky and, when comparing its historical volatility, MITSUBISHI STEEL MFG is 1.56 times less risky than BURLINGTON STORES. The stock trades about -0.01 of its potential returns per unit of risk. The BURLINGTON STORES is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 24,200 in BURLINGTON STORES on September 2, 2024 and sell it today you would earn a total of 3,000 from holding BURLINGTON STORES or generate 12.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MITSUBISHI STEEL MFG vs. BURLINGTON STORES
Performance |
Timeline |
MITSUBISHI STEEL MFG |
BURLINGTON STORES |
MITSUBISHI STEEL and BURLINGTON STORES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MITSUBISHI STEEL and BURLINGTON STORES
The main advantage of trading using opposite MITSUBISHI STEEL and BURLINGTON STORES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MITSUBISHI STEEL position performs unexpectedly, BURLINGTON STORES 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 BURLINGTON STORES will offset losses from the drop in BURLINGTON STORES's long position.MITSUBISHI STEEL vs. Apple Inc | MITSUBISHI STEEL vs. Apple Inc | MITSUBISHI STEEL vs. Apple Inc | MITSUBISHI STEEL vs. Apple Inc |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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