Correlation Between OpenSys M and Techfast Holdings
Can any of the company-specific risk be diversified away by investing in both OpenSys M and Techfast Holdings 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 OpenSys M and Techfast Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between OpenSys M Bhd and Techfast Holdings Bhd, you can compare the effects of market volatilities on OpenSys M and Techfast Holdings 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 OpenSys M with a short position of Techfast Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of OpenSys M and Techfast Holdings.
Diversification Opportunities for OpenSys M and Techfast Holdings
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between OpenSys and Techfast is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding OpenSys M Bhd and Techfast Holdings Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Techfast Holdings Bhd and OpenSys M 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 OpenSys M Bhd are associated (or correlated) with Techfast Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Techfast Holdings Bhd has no effect on the direction of OpenSys M i.e., OpenSys M and Techfast Holdings go up and down completely randomly.
Pair Corralation between OpenSys M and Techfast Holdings
Assuming the 90 days trading horizon OpenSys M Bhd is expected to under-perform the Techfast Holdings. But the stock apears to be less risky and, when comparing its historical volatility, OpenSys M Bhd is 3.1 times less risky than Techfast Holdings. The stock trades about -0.04 of its potential returns per unit of risk. The Techfast Holdings Bhd is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 6.00 in Techfast Holdings Bhd on October 25, 2024 and sell it today you would earn a total of 1.00 from holding Techfast Holdings Bhd or generate 16.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
OpenSys M Bhd vs. Techfast Holdings Bhd
Performance |
Timeline |
OpenSys M Bhd |
Techfast Holdings Bhd |
OpenSys M and Techfast Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with OpenSys M and Techfast Holdings
The main advantage of trading using opposite OpenSys M and Techfast Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OpenSys M position performs unexpectedly, Techfast Holdings 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 Techfast Holdings will offset losses from the drop in Techfast Holdings' long position.OpenSys M vs. Public Packages Holdings | OpenSys M vs. Sapura Industrial Bhd | OpenSys M vs. YX Precious Metals | OpenSys M vs. Computer Forms 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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