Correlation Between Bank Central and Perdana Bangun
Can any of the company-specific risk be diversified away by investing in both Bank Central and Perdana Bangun 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 Bank Central and Perdana Bangun into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Central Asia and Perdana Bangun Pusaka, you can compare the effects of market volatilities on Bank Central and Perdana Bangun 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 Bank Central with a short position of Perdana Bangun. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Central and Perdana Bangun.
Diversification Opportunities for Bank Central and Perdana Bangun
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Perdana is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Bank Central Asia and Perdana Bangun Pusaka in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Perdana Bangun Pusaka and Bank Central 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 Bank Central Asia are associated (or correlated) with Perdana Bangun. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Perdana Bangun Pusaka has no effect on the direction of Bank Central i.e., Bank Central and Perdana Bangun go up and down completely randomly.
Pair Corralation between Bank Central and Perdana Bangun
Assuming the 90 days trading horizon Bank Central Asia is expected to under-perform the Perdana Bangun. But the stock apears to be less risky and, when comparing its historical volatility, Bank Central Asia is 6.35 times less risky than Perdana Bangun. The stock trades about -0.03 of its potential returns per unit of risk. The Perdana Bangun Pusaka is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 94,000 in Perdana Bangun Pusaka on September 17, 2024 and sell it today you would earn a total of 87,500 from holding Perdana Bangun Pusaka or generate 93.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Central Asia vs. Perdana Bangun Pusaka
Performance |
Timeline |
Bank Central Asia |
Perdana Bangun Pusaka |
Bank Central and Perdana Bangun Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Central and Perdana Bangun
The main advantage of trading using opposite Bank Central and Perdana Bangun positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Central position performs unexpectedly, Perdana Bangun 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 Perdana Bangun will offset losses from the drop in Perdana Bangun's long position.Bank Central vs. Bank Rakyat Indonesia | Bank Central vs. Bank Mandiri Persero | Bank Central vs. Bank Negara Indonesia | Bank Central vs. Astra International Tbk |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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