Correlation Between GoTo Gojek and Bank Pembangunan
Can any of the company-specific risk be diversified away by investing in both GoTo Gojek and Bank Pembangunan 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 GoTo Gojek and Bank Pembangunan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GoTo Gojek Tokopedia and Bank Pembangunan Daerah, you can compare the effects of market volatilities on GoTo Gojek and Bank Pembangunan 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 GoTo Gojek with a short position of Bank Pembangunan. Check out your portfolio center. Please also check ongoing floating volatility patterns of GoTo Gojek and Bank Pembangunan.
Diversification Opportunities for GoTo Gojek and Bank Pembangunan
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GoTo and Bank is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding GoTo Gojek Tokopedia and Bank Pembangunan Daerah in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Pembangunan Daerah and GoTo Gojek 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 GoTo Gojek Tokopedia are associated (or correlated) with Bank Pembangunan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Pembangunan Daerah has no effect on the direction of GoTo Gojek i.e., GoTo Gojek and Bank Pembangunan go up and down completely randomly.
Pair Corralation between GoTo Gojek and Bank Pembangunan
Assuming the 90 days trading horizon GoTo Gojek Tokopedia is expected to generate 0.73 times more return on investment than Bank Pembangunan. However, GoTo Gojek Tokopedia is 1.37 times less risky than Bank Pembangunan. It trades about 0.04 of its potential returns per unit of risk. Bank Pembangunan Daerah is currently generating about -0.22 per unit of risk. If you would invest 6,400 in GoTo Gojek Tokopedia on March 4, 2024 and sell it today you would earn a total of 300.00 from holding GoTo Gojek Tokopedia or generate 4.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
GoTo Gojek Tokopedia vs. Bank Pembangunan Daerah
Performance |
Timeline |
GoTo Gojek Tokopedia |
Bank Pembangunan Daerah |
GoTo Gojek and Bank Pembangunan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GoTo Gojek and Bank Pembangunan
The main advantage of trading using opposite GoTo Gojek and Bank Pembangunan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GoTo Gojek position performs unexpectedly, Bank Pembangunan 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 Pembangunan will offset losses from the drop in Bank Pembangunan's long position.GoTo Gojek vs. M Cash Integrasi | GoTo Gojek vs. NFC Indonesia PT | GoTo Gojek vs. Digital Mediatama Maxima | GoTo Gojek vs. Kioson Komersial Indonesia |
Bank Pembangunan vs. Indosat Tbk | Bank Pembangunan vs. Astra Agro Lestari | Bank Pembangunan vs. Indocement Tunggal Prakarsa |
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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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