Correlation Between SS TECH and KMH Hitech
Can any of the company-specific risk be diversified away by investing in both SS TECH and KMH Hitech 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 SS TECH and KMH Hitech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SS TECH and KMH Hitech Co, you can compare the effects of market volatilities on SS TECH and KMH Hitech 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 SS TECH with a short position of KMH Hitech. Check out your portfolio center. Please also check ongoing floating volatility patterns of SS TECH and KMH Hitech.
Diversification Opportunities for SS TECH and KMH Hitech
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between 101490 and KMH is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding SS TECH and KMH Hitech Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KMH Hitech and SS TECH 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 SS TECH are associated (or correlated) with KMH Hitech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KMH Hitech has no effect on the direction of SS TECH i.e., SS TECH and KMH Hitech go up and down completely randomly.
Pair Corralation between SS TECH and KMH Hitech
Assuming the 90 days trading horizon SS TECH is expected to generate 1.85 times more return on investment than KMH Hitech. However, SS TECH is 1.85 times more volatile than KMH Hitech Co. It trades about -0.08 of its potential returns per unit of risk. KMH Hitech Co is currently generating about -0.16 per unit of risk. If you would invest 2,655,000 in SS TECH on September 3, 2024 and sell it today you would lose (410,000) from holding SS TECH or give up 15.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SS TECH vs. KMH Hitech Co
Performance |
Timeline |
SS TECH |
KMH Hitech |
SS TECH and KMH Hitech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SS TECH and KMH Hitech
The main advantage of trading using opposite SS TECH and KMH Hitech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SS TECH position performs unexpectedly, KMH Hitech 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 KMH Hitech will offset losses from the drop in KMH Hitech's long position.The idea behind SS TECH and KMH Hitech Co 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.KMH Hitech vs. Daou Technology | KMH Hitech vs. Daiyang Metal Co | KMH Hitech vs. Kukil Metal Co | KMH Hitech vs. KG Eco Technology |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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