Correlation Between Rojana Industrial and BPS TECHNOLOGY
Can any of the company-specific risk be diversified away by investing in both Rojana Industrial and BPS TECHNOLOGY 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 Rojana Industrial and BPS TECHNOLOGY into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Rojana Industrial Park and BPS TECHNOLOGY PUBLIC, you can compare the effects of market volatilities on Rojana Industrial and BPS TECHNOLOGY 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 Rojana Industrial with a short position of BPS TECHNOLOGY. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rojana Industrial and BPS TECHNOLOGY.
Diversification Opportunities for Rojana Industrial and BPS TECHNOLOGY
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Rojana and BPS is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Rojana Industrial Park and BPS TECHNOLOGY PUBLIC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BPS TECHNOLOGY PUBLIC and Rojana Industrial 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 Rojana Industrial Park are associated (or correlated) with BPS TECHNOLOGY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BPS TECHNOLOGY PUBLIC has no effect on the direction of Rojana Industrial i.e., Rojana Industrial and BPS TECHNOLOGY go up and down completely randomly.
Pair Corralation between Rojana Industrial and BPS TECHNOLOGY
Assuming the 90 days trading horizon Rojana Industrial Park is expected to generate 0.51 times more return on investment than BPS TECHNOLOGY. However, Rojana Industrial Park is 1.97 times less risky than BPS TECHNOLOGY. It trades about -0.2 of its potential returns per unit of risk. BPS TECHNOLOGY PUBLIC is currently generating about -0.11 per unit of risk. If you would invest 740.00 in Rojana Industrial Park on October 25, 2024 and sell it today you would lose (145.00) from holding Rojana Industrial Park or give up 19.59% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Rojana Industrial Park vs. BPS TECHNOLOGY PUBLIC
Performance |
Timeline |
Rojana Industrial Park |
BPS TECHNOLOGY PUBLIC |
Rojana Industrial and BPS TECHNOLOGY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Rojana Industrial and BPS TECHNOLOGY
The main advantage of trading using opposite Rojana Industrial and BPS TECHNOLOGY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rojana Industrial position performs unexpectedly, BPS TECHNOLOGY 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 BPS TECHNOLOGY will offset losses from the drop in BPS TECHNOLOGY's long position.Rojana Industrial vs. Gulf Energy Development | Rojana Industrial vs. Global Power Synergy | Rojana Industrial vs. Energy Absolute Public | Rojana Industrial vs. Bangkok Expressway and |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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