Correlation Between YAOKO and SEVEN+I HLDGS
Can any of the company-specific risk be diversified away by investing in both YAOKO and SEVEN+I HLDGS 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 YAOKO and SEVEN+I HLDGS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between YAOKO LTD and SEVENI HLDGS UNSPADR12, you can compare the effects of market volatilities on YAOKO and SEVEN+I HLDGS 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 YAOKO with a short position of SEVEN+I HLDGS. Check out your portfolio center. Please also check ongoing floating volatility patterns of YAOKO and SEVEN+I HLDGS.
Diversification Opportunities for YAOKO and SEVEN+I HLDGS
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between YAOKO and SEVEN+I is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding YAOKO LTD and SEVENI HLDGS UNSPADR12 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SEVENI HLDGS UNSPADR12 and YAOKO 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 YAOKO LTD are associated (or correlated) with SEVEN+I HLDGS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SEVENI HLDGS UNSPADR12 has no effect on the direction of YAOKO i.e., YAOKO and SEVEN+I HLDGS go up and down completely randomly.
Pair Corralation between YAOKO and SEVEN+I HLDGS
Assuming the 90 days horizon YAOKO is expected to generate 6.57 times less return on investment than SEVEN+I HLDGS. But when comparing it to its historical volatility, YAOKO LTD is 6.5 times less risky than SEVEN+I HLDGS. It trades about 0.03 of its potential returns per unit of risk. SEVENI HLDGS UNSPADR12 is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,245 in SEVENI HLDGS UNSPADR12 on September 23, 2024 and sell it today you would lose (5.00) from holding SEVENI HLDGS UNSPADR12 or give up 0.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
YAOKO LTD vs. SEVENI HLDGS UNSPADR12
Performance |
Timeline |
YAOKO LTD |
SEVENI HLDGS UNSPADR12 |
YAOKO and SEVEN+I HLDGS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with YAOKO and SEVEN+I HLDGS
The main advantage of trading using opposite YAOKO and SEVEN+I HLDGS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if YAOKO position performs unexpectedly, SEVEN+I HLDGS 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 SEVEN+I HLDGS will offset losses from the drop in SEVEN+I HLDGS's long position.YAOKO vs. SEVENI HLDGS UNSPADR12 | YAOKO vs. Seven i Holdings | YAOKO vs. The Kroger Co | YAOKO vs. Koninklijke Ahold Delhaize |
SEVEN+I HLDGS vs. Seven i Holdings | SEVEN+I HLDGS vs. The Kroger Co | SEVEN+I HLDGS vs. Koninklijke Ahold Delhaize | SEVEN+I HLDGS vs. Koninklijke Ahold Delhaize |
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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