Correlation Between Keck Seng and CHRYSALIS INVESTMENTS
Can any of the company-specific risk be diversified away by investing in both Keck Seng and CHRYSALIS INVESTMENTS 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 Keck Seng and CHRYSALIS INVESTMENTS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Keck Seng Investments and CHRYSALIS INVESTMENTS LTD, you can compare the effects of market volatilities on Keck Seng and CHRYSALIS INVESTMENTS 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 Keck Seng with a short position of CHRYSALIS INVESTMENTS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Keck Seng and CHRYSALIS INVESTMENTS.
Diversification Opportunities for Keck Seng and CHRYSALIS INVESTMENTS
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Keck and CHRYSALIS is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Keck Seng Investments and CHRYSALIS INVESTMENTS LTD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHRYSALIS INVESTMENTS LTD and Keck Seng 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 Keck Seng Investments are associated (or correlated) with CHRYSALIS INVESTMENTS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHRYSALIS INVESTMENTS LTD has no effect on the direction of Keck Seng i.e., Keck Seng and CHRYSALIS INVESTMENTS go up and down completely randomly.
Pair Corralation between Keck Seng and CHRYSALIS INVESTMENTS
Assuming the 90 days horizon Keck Seng Investments is expected to generate 3.95 times more return on investment than CHRYSALIS INVESTMENTS. However, Keck Seng is 3.95 times more volatile than CHRYSALIS INVESTMENTS LTD. It trades about 0.09 of its potential returns per unit of risk. CHRYSALIS INVESTMENTS LTD is currently generating about 0.22 per unit of risk. If you would invest 22.00 in Keck Seng Investments on April 23, 2025 and sell it today you would earn a total of 5.00 from holding Keck Seng Investments or generate 22.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Keck Seng Investments vs. CHRYSALIS INVESTMENTS LTD
Performance |
Timeline |
Keck Seng Investments |
CHRYSALIS INVESTMENTS LTD |
Keck Seng and CHRYSALIS INVESTMENTS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Keck Seng and CHRYSALIS INVESTMENTS
The main advantage of trading using opposite Keck Seng and CHRYSALIS INVESTMENTS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Keck Seng position performs unexpectedly, CHRYSALIS INVESTMENTS 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 CHRYSALIS INVESTMENTS will offset losses from the drop in CHRYSALIS INVESTMENTS's long position.Keck Seng vs. Nippon Light Metal | Keck Seng vs. ARDAGH METAL PACDL 0001 | Keck Seng vs. Jupiter Fund Management | Keck Seng vs. Q2M Managementberatung AG |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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