Correlation Between GM and Bank Negara
Can any of the company-specific risk be diversified away by investing in both GM and Bank Negara 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 Negara 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 Negara Indonesia, you can compare the effects of market volatilities on GM and Bank Negara 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 Negara. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Bank Negara.
Diversification Opportunities for GM and Bank Negara
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and Bank is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Bank Negara Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Negara Indonesia 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 Negara. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Negara Indonesia has no effect on the direction of GM i.e., GM and Bank Negara go up and down completely randomly.
Pair Corralation between GM and Bank Negara
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Bank Negara. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 1.7 times less risky than Bank Negara. The stock trades about -0.13 of its potential returns per unit of risk. The Bank Negara Indonesia is currently generating about -0.07 of returns per unit of risk over similar time horizon. If you would invest 1,594 in Bank Negara Indonesia on September 16, 2024 and sell it today you would lose (131.00) from holding Bank Negara Indonesia or give up 8.22% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Bank Negara Indonesia
Performance |
Timeline |
General Motors |
Bank Negara Indonesia |
GM and Bank Negara Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Bank Negara
The main advantage of trading using opposite GM and Bank Negara positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Bank Negara 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 Negara will offset losses from the drop in Bank Negara's long position.The idea behind General Motors and Bank Negara Indonesia 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 Negara vs. Morningstar Unconstrained Allocation | Bank Negara vs. Bondbloxx ETF Trust | Bank Negara vs. Spring Valley Acquisition | Bank Negara vs. Bondbloxx ETF Trust |
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 Channel module to use Commodity Channel Index to analyze current equity momentum.
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