Correlation Between Multi Spunindo and Bank Central
Can any of the company-specific risk be diversified away by investing in both Multi Spunindo and Bank Central 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 Multi Spunindo and Bank Central into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Multi Spunindo Jaya and Bank Central Asia, you can compare the effects of market volatilities on Multi Spunindo and Bank Central 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 Multi Spunindo with a short position of Bank Central. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multi Spunindo and Bank Central.
Diversification Opportunities for Multi Spunindo and Bank Central
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Multi and Bank is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Multi Spunindo Jaya and Bank Central Asia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Central Asia and Multi Spunindo 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 Multi Spunindo Jaya are associated (or correlated) with Bank Central. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Central Asia has no effect on the direction of Multi Spunindo i.e., Multi Spunindo and Bank Central go up and down completely randomly.
Pair Corralation between Multi Spunindo and Bank Central
Assuming the 90 days trading horizon Multi Spunindo Jaya is expected to under-perform the Bank Central. But the stock apears to be less risky and, when comparing its historical volatility, Multi Spunindo Jaya is 1.11 times less risky than Bank Central. The stock trades about -0.08 of its potential returns per unit of risk. The Bank Central Asia is currently generating about -0.07 of returns per unit of risk over similar time horizon. If you would invest 938,619 in Bank Central Asia on December 29, 2024 and sell it today you would lose (88,619) from holding Bank Central Asia or give up 9.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Multi Spunindo Jaya vs. Bank Central Asia
Performance |
Timeline |
Multi Spunindo Jaya |
Bank Central Asia |
Multi Spunindo and Bank Central Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Multi Spunindo and Bank Central
The main advantage of trading using opposite Multi Spunindo and Bank Central positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multi Spunindo position performs unexpectedly, Bank Central 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 Bank Central will offset losses from the drop in Bank Central's long position.Multi Spunindo vs. Surya Citra Media | Multi Spunindo vs. Pertamina Geothermal Energy | Multi Spunindo vs. HK Metals Utama | Multi Spunindo vs. Alumindo Light Metal |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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