Correlation Between GM and Komatsu
Can any of the company-specific risk be diversified away by investing in both GM and Komatsu 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 Komatsu into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Komatsu, you can compare the effects of market volatilities on GM and Komatsu 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 Komatsu. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Komatsu.
Diversification Opportunities for GM and Komatsu
Excellent diversification
The 3 months correlation between GM and Komatsu is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Komatsu in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Komatsu 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 Komatsu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Komatsu has no effect on the direction of GM i.e., GM and Komatsu go up and down completely randomly.
Pair Corralation between GM and Komatsu
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Komatsu. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 1.03 times less risky than Komatsu. The stock trades about -0.01 of its potential returns per unit of risk. The Komatsu is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 2,762 in Komatsu on December 26, 2024 and sell it today you would earn a total of 330.00 from holding Komatsu or generate 11.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Komatsu
Performance |
Timeline |
General Motors |
Komatsu |
GM and Komatsu Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Komatsu
The main advantage of trading using opposite GM and Komatsu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Komatsu 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 Komatsu will offset losses from the drop in Komatsu's long position.The idea behind General Motors and Komatsu 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.Komatsu vs. Gencor Industries | Komatsu vs. Rev Group | Komatsu vs. Manitowoc | Komatsu vs. Columbus McKinnon |
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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