Correlation Between GM and Bank Mega
Can any of the company-specific risk be diversified away by investing in both GM and Bank Mega 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 GM and Bank Mega into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Bank Mega Tbk, you can compare the effects of market volatilities on GM and Bank Mega 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 GM with a short position of Bank Mega. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Bank Mega.
Diversification Opportunities for GM and Bank Mega
Very weak diversification
The 3 months correlation between GM and Bank is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Bank Mega Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Mega Tbk and GM 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 General Motors are associated (or correlated) with Bank Mega. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Mega Tbk has no effect on the direction of GM i.e., GM and Bank Mega go up and down completely randomly.
Pair Corralation between GM and Bank Mega
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.11 times more return on investment than Bank Mega. However, GM is 1.11 times more volatile than Bank Mega Tbk. It trades about -0.06 of its potential returns per unit of risk. Bank Mega Tbk is currently generating about -0.14 per unit of risk. If you would invest 5,177 in General Motors on November 4, 2024 and sell it today you would lose (231.00) from holding General Motors or give up 4.46% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 95.0% |
| Values | Daily Returns |
General Motors vs. Bank Mega Tbk
Performance |
| Timeline |
| General Motors |
| Bank Mega Tbk |
GM and Bank Mega Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Bank Mega
The main advantage of trading using opposite GM and Bank Mega positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Bank Mega 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 Mega will offset losses from the drop in Bank Mega's long position.The idea behind General Motors and Bank Mega Tbk pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Bank Mega vs. Bank Ocbc Nisp | Bank Mega vs. Bank Mayapada Internasional | Bank Mega vs. Bank Permata Tbk | Bank Mega vs. Bank Pan Indonesia |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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