Correlation Between Keck Seng and Sterling Construction
Can any of the company-specific risk be diversified away by investing in both Keck Seng and Sterling Construction 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 Sterling Construction 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 Sterling Construction, you can compare the effects of market volatilities on Keck Seng and Sterling Construction 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 Sterling Construction. Check out your portfolio center. Please also check ongoing floating volatility patterns of Keck Seng and Sterling Construction.
Diversification Opportunities for Keck Seng and Sterling Construction
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Keck and Sterling is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Keck Seng Investments and Sterling Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sterling Construction 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 Sterling Construction. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sterling Construction has no effect on the direction of Keck Seng i.e., Keck Seng and Sterling Construction go up and down completely randomly.
Pair Corralation between Keck Seng and Sterling Construction
Assuming the 90 days horizon Keck Seng Investments is expected to generate 0.87 times more return on investment than Sterling Construction. However, Keck Seng Investments is 1.15 times less risky than Sterling Construction. It trades about 0.23 of its potential returns per unit of risk. Sterling Construction is currently generating about -0.17 per unit of risk. If you would invest 24.00 in Keck Seng Investments on October 12, 2024 and sell it today you would earn a total of 3.00 from holding Keck Seng Investments or generate 12.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Keck Seng Investments vs. Sterling Construction
Performance |
Timeline |
Keck Seng Investments |
Sterling Construction |
Keck Seng and Sterling Construction Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Keck Seng and Sterling Construction
The main advantage of trading using opposite Keck Seng and Sterling Construction positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Keck Seng position performs unexpectedly, Sterling Construction 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 Sterling Construction will offset losses from the drop in Sterling Construction's long position.Keck Seng vs. Marriott International | Keck Seng vs. Hyatt Hotels | Keck Seng vs. InterContinental Hotels Group | Keck Seng vs. INTERCONT HOTELS |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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