Correlation Between Bank Negara and ALR Technologies
Can any of the company-specific risk be diversified away by investing in both Bank Negara and ALR Technologies 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 ALR Technologies 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 ALR Technologies, you can compare the effects of market volatilities on Bank Negara and ALR Technologies 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 ALR Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Negara and ALR Technologies.
Diversification Opportunities for Bank Negara and ALR Technologies
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and ALR is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Bank Negara Indonesia and ALR Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ALR Technologies 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 ALR Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ALR Technologies has no effect on the direction of Bank Negara i.e., Bank Negara and ALR Technologies go up and down completely randomly.
Pair Corralation between Bank Negara and ALR Technologies
Assuming the 90 days horizon Bank Negara is expected to generate 4.96 times less return on investment than ALR Technologies. But when comparing it to its historical volatility, Bank Negara Indonesia is 2.37 times less risky than ALR Technologies. It trades about 0.03 of its potential returns per unit of risk. ALR Technologies is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 2.00 in ALR Technologies on October 5, 2024 and sell it today you would lose (1.25) from holding ALR Technologies or give up 62.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.63% |
Values | Daily Returns |
Bank Negara Indonesia vs. ALR Technologies
Performance |
Timeline |
Bank Negara Indonesia |
ALR Technologies |
Bank Negara and ALR Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Negara and ALR Technologies
The main advantage of trading using opposite Bank Negara and ALR Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Negara position performs unexpectedly, ALR Technologies 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 ALR Technologies will offset losses from the drop in ALR Technologies' long position.Bank Negara vs. Banco Bradesco SA | Bank Negara vs. Itau Unibanco Banco | Bank Negara vs. Lloyds Banking Group | Bank Negara vs. Deutsche Bank AG |
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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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