Correlation Between BANK CENTRAL and Ubisoft Entertainment
Can any of the company-specific risk be diversified away by investing in both BANK CENTRAL and Ubisoft Entertainment 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 BANK CENTRAL and Ubisoft Entertainment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BANK CENTRAL ASIA and Ubisoft Entertainment SA, you can compare the effects of market volatilities on BANK CENTRAL and Ubisoft Entertainment 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 BANK CENTRAL with a short position of Ubisoft Entertainment. Check out your portfolio center. Please also check ongoing floating volatility patterns of BANK CENTRAL and Ubisoft Entertainment.
Diversification Opportunities for BANK CENTRAL and Ubisoft Entertainment
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between BANK and Ubisoft is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding BANK CENTRAL ASIA and Ubisoft Entertainment SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ubisoft Entertainment and BANK CENTRAL 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 BANK CENTRAL ASIA are associated (or correlated) with Ubisoft Entertainment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ubisoft Entertainment has no effect on the direction of BANK CENTRAL i.e., BANK CENTRAL and Ubisoft Entertainment go up and down completely randomly.
Pair Corralation between BANK CENTRAL and Ubisoft Entertainment
Assuming the 90 days trading horizon BANK CENTRAL ASIA is expected to generate 0.54 times more return on investment than Ubisoft Entertainment. However, BANK CENTRAL ASIA is 1.86 times less risky than Ubisoft Entertainment. It trades about 0.13 of its potential returns per unit of risk. Ubisoft Entertainment SA is currently generating about 0.01 per unit of risk. If you would invest 56.00 in BANK CENTRAL ASIA on September 12, 2024 and sell it today you would earn a total of 3.00 from holding BANK CENTRAL ASIA or generate 5.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BANK CENTRAL ASIA vs. Ubisoft Entertainment SA
Performance |
Timeline |
BANK CENTRAL ASIA |
Ubisoft Entertainment |
BANK CENTRAL and Ubisoft Entertainment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BANK CENTRAL and Ubisoft Entertainment
The main advantage of trading using opposite BANK CENTRAL and Ubisoft Entertainment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BANK CENTRAL position performs unexpectedly, Ubisoft Entertainment 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 Ubisoft Entertainment will offset losses from the drop in Ubisoft Entertainment's long position.BANK CENTRAL vs. NISSIN FOODS HLDGS | BANK CENTRAL vs. COFCO Joycome Foods | BANK CENTRAL vs. Public Storage | BANK CENTRAL vs. JJ SNACK FOODS |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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