Correlation Between Oversea Chinese and KERINGUNSPADR 110
Can any of the company-specific risk be diversified away by investing in both Oversea Chinese and KERINGUNSPADR 110 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 Oversea Chinese and KERINGUNSPADR 110 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oversea Chinese Banking and KERINGUNSPADR 110 EO, you can compare the effects of market volatilities on Oversea Chinese and KERINGUNSPADR 110 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 Oversea Chinese with a short position of KERINGUNSPADR 110. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oversea Chinese and KERINGUNSPADR 110.
Diversification Opportunities for Oversea Chinese and KERINGUNSPADR 110
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Oversea and KERINGUNSPADR is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Oversea Chinese Banking and KERINGUNSPADR 110 EO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KERINGUNSPADR 110 and Oversea Chinese 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 Oversea Chinese Banking are associated (or correlated) with KERINGUNSPADR 110. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KERINGUNSPADR 110 has no effect on the direction of Oversea Chinese i.e., Oversea Chinese and KERINGUNSPADR 110 go up and down completely randomly.
Pair Corralation between Oversea Chinese and KERINGUNSPADR 110
Assuming the 90 days trading horizon Oversea Chinese Banking is expected to generate 0.4 times more return on investment than KERINGUNSPADR 110. However, Oversea Chinese Banking is 2.5 times less risky than KERINGUNSPADR 110. It trades about 0.09 of its potential returns per unit of risk. KERINGUNSPADR 110 EO is currently generating about 0.03 per unit of risk. If you would invest 1,076 in Oversea Chinese Banking on September 23, 2024 and sell it today you would earn a total of 82.00 from holding Oversea Chinese Banking or generate 7.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Oversea Chinese Banking vs. KERINGUNSPADR 110 EO
Performance |
Timeline |
Oversea Chinese Banking |
KERINGUNSPADR 110 |
Oversea Chinese and KERINGUNSPADR 110 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oversea Chinese and KERINGUNSPADR 110
The main advantage of trading using opposite Oversea Chinese and KERINGUNSPADR 110 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oversea Chinese position performs unexpectedly, KERINGUNSPADR 110 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 KERINGUNSPADR 110 will offset losses from the drop in KERINGUNSPADR 110's long position.Oversea Chinese vs. POSBO UNSPADRS20YC1 | Oversea Chinese vs. Postal Savings Bank | Oversea Chinese vs. Truist Financial | Oversea Chinese vs. OVERSEA CHINUNSPADR2 |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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