Correlation Between GM and KIM KINDEX
Can any of the company-specific risk be diversified away by investing in both GM and KIM KINDEX 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 KIM KINDEX into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and KIM KINDEX Japan, you can compare the effects of market volatilities on GM and KIM KINDEX 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 KIM KINDEX. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and KIM KINDEX.
Diversification Opportunities for GM and KIM KINDEX
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between GM and KIM is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and KIM KINDEX Japan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KIM KINDEX Japan 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 KIM KINDEX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KIM KINDEX Japan has no effect on the direction of GM i.e., GM and KIM KINDEX go up and down completely randomly.
Pair Corralation between GM and KIM KINDEX
Allowing for the 90-day total investment horizon GM is expected to generate 1.02 times less return on investment than KIM KINDEX. In addition to that, GM is 1.45 times more volatile than KIM KINDEX Japan. It trades about 0.05 of its total potential returns per unit of risk. KIM KINDEX Japan is currently generating about 0.08 per unit of volatility. If you would invest 1,729,000 in KIM KINDEX Japan on September 25, 2024 and sell it today you would earn a total of 1,048,000 from holding KIM KINDEX Japan or generate 60.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 97.38% |
Values | Daily Returns |
General Motors vs. KIM KINDEX Japan
Performance |
Timeline |
General Motors |
KIM KINDEX Japan |
GM and KIM KINDEX Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and KIM KINDEX
The main advantage of trading using opposite GM and KIM KINDEX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, KIM KINDEX 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 KIM KINDEX will offset losses from the drop in KIM KINDEX's long position.The idea behind General Motors and KIM KINDEX Japan 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.KIM KINDEX vs. 456680 | KIM KINDEX vs. Busan Industrial Co | KIM KINDEX vs. Busan Ind | KIM KINDEX vs. Mirae Asset Daewoo |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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