Correlation Between GM and Silver Bullet
Can any of the company-specific risk be diversified away by investing in both GM and Silver Bullet 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 Silver Bullet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Silver Bullet Data, you can compare the effects of market volatilities on GM and Silver Bullet 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 Silver Bullet. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Silver Bullet.
Diversification Opportunities for GM and Silver Bullet
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and Silver is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Silver Bullet Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Silver Bullet Data 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 Silver Bullet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Silver Bullet Data has no effect on the direction of GM i.e., GM and Silver Bullet go up and down completely randomly.
Pair Corralation between GM and Silver Bullet
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Silver Bullet. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 1.44 times less risky than Silver Bullet. The stock trades about -0.26 of its potential returns per unit of risk. The Silver Bullet Data is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 5,450 in Silver Bullet Data on September 24, 2024 and sell it today you would earn a total of 800.00 from holding Silver Bullet Data or generate 14.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Silver Bullet Data
Performance |
Timeline |
General Motors |
Silver Bullet Data |
GM and Silver Bullet Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Silver Bullet
The main advantage of trading using opposite GM and Silver Bullet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Silver Bullet 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 Silver Bullet will offset losses from the drop in Silver Bullet's long position.The idea behind General Motors and Silver Bullet Data 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.Silver Bullet vs. Samsung Electronics Co | Silver Bullet vs. Samsung Electronics Co | Silver Bullet vs. Toyota Motor Corp | Silver Bullet vs. Hon Hai Precision |
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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