Correlation Between Bank Negara and Perdana Bangun
Can any of the company-specific risk be diversified away by investing in both Bank Negara 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 Negara 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 Negara Indonesia and Perdana Bangun Pusaka, you can compare the effects of market volatilities on Bank Negara 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 Negara with a short position of Perdana Bangun. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Negara and Perdana Bangun.
Diversification Opportunities for Bank Negara and Perdana Bangun
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Perdana is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding Bank Negara Indonesia 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 Negara 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 Negara Indonesia 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 Negara i.e., Bank Negara and Perdana Bangun go up and down completely randomly.
Pair Corralation between Bank Negara and Perdana Bangun
Assuming the 90 days trading horizon Bank Negara Indonesia is expected to under-perform the Perdana Bangun. But the stock apears to be less risky and, when comparing its historical volatility, Bank Negara Indonesia is 4.68 times less risky than Perdana Bangun. The stock trades about -0.13 of its potential returns per unit of risk. The Perdana Bangun Pusaka is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 94,000 in Perdana Bangun Pusaka on September 16, 2024 and sell it today you would earn a total of 58,000 from holding Perdana Bangun Pusaka or generate 61.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Negara Indonesia vs. Perdana Bangun Pusaka
Performance |
Timeline |
Bank Negara Indonesia |
Perdana Bangun Pusaka |
Bank Negara and Perdana Bangun Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Negara and Perdana Bangun
The main advantage of trading using opposite Bank Negara and Perdana Bangun positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Negara 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 Negara vs. Paninvest Tbk | Bank Negara vs. Maskapai Reasuransi Indonesia | Bank Negara vs. Panin Sekuritas Tbk | Bank Negara vs. Wahana Ottomitra Multiartha |
Perdana Bangun vs. Inter Delta Tbk | Perdana Bangun vs. Jakarta Setiabudi Internasional | Perdana Bangun vs. Modern Internasional Tbk | Perdana Bangun vs. Multi Indocitra Tbk |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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