Correlation Between MClean Technologies and Crescendo Bhd
Can any of the company-specific risk be diversified away by investing in both MClean Technologies and Crescendo Bhd 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 MClean Technologies and Crescendo Bhd into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MClean Technologies Bhd and Crescendo Bhd, you can compare the effects of market volatilities on MClean Technologies and Crescendo Bhd 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 MClean Technologies with a short position of Crescendo Bhd. Check out your portfolio center. Please also check ongoing floating volatility patterns of MClean Technologies and Crescendo Bhd.
Diversification Opportunities for MClean Technologies and Crescendo Bhd
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between MClean and Crescendo is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding MClean Technologies Bhd and Crescendo Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Crescendo Bhd and MClean Technologies 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 MClean Technologies Bhd are associated (or correlated) with Crescendo Bhd. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Crescendo Bhd has no effect on the direction of MClean Technologies i.e., MClean Technologies and Crescendo Bhd go up and down completely randomly.
Pair Corralation between MClean Technologies and Crescendo Bhd
Assuming the 90 days trading horizon MClean Technologies is expected to generate 1.34 times less return on investment than Crescendo Bhd. In addition to that, MClean Technologies is 2.08 times more volatile than Crescendo Bhd. It trades about 0.05 of its total potential returns per unit of risk. Crescendo Bhd is currently generating about 0.13 per unit of volatility. If you would invest 37.00 in Crescendo Bhd on October 4, 2024 and sell it today you would earn a total of 116.00 from holding Crescendo Bhd or generate 313.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 90.7% |
Values | Daily Returns |
MClean Technologies Bhd vs. Crescendo Bhd
Performance |
Timeline |
MClean Technologies Bhd |
Crescendo Bhd |
MClean Technologies and Crescendo Bhd Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MClean Technologies and Crescendo Bhd
The main advantage of trading using opposite MClean Technologies and Crescendo Bhd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MClean Technologies position performs unexpectedly, Crescendo Bhd 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 Crescendo Bhd will offset losses from the drop in Crescendo Bhd's long position.MClean Technologies vs. Computer Forms Bhd | MClean Technologies vs. Tex Cycle Technology | MClean Technologies vs. Al Aqar Healthcare | MClean Technologies vs. PMB Technology Bhd |
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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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