Correlation Between Wireless Power and KMH Hitech
Can any of the company-specific risk be diversified away by investing in both Wireless Power 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 Wireless Power and KMH Hitech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wireless Power Amplifier and KMH Hitech Co, you can compare the effects of market volatilities on Wireless Power 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 Wireless Power with a short position of KMH Hitech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wireless Power and KMH Hitech.
Diversification Opportunities for Wireless Power and KMH Hitech
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Wireless and KMH is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Wireless Power Amplifier and KMH Hitech Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KMH Hitech and Wireless Power 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 Wireless Power Amplifier 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 Wireless Power i.e., Wireless Power and KMH Hitech go up and down completely randomly.
Pair Corralation between Wireless Power and KMH Hitech
Assuming the 90 days trading horizon Wireless Power Amplifier is expected to generate 2.32 times more return on investment than KMH Hitech. However, Wireless Power is 2.32 times more volatile than KMH Hitech Co. It trades about 0.4 of its potential returns per unit of risk. KMH Hitech Co is currently generating about 0.52 per unit of risk. If you would invest 232,500 in Wireless Power Amplifier on October 12, 2024 and sell it today you would earn a total of 60,000 from holding Wireless Power Amplifier or generate 25.81% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Wireless Power Amplifier vs. KMH Hitech Co
Performance |
| Timeline |
| Wireless Power Amplifier |
| KMH Hitech |
Wireless Power and KMH Hitech Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Wireless Power and KMH Hitech
The main advantage of trading using opposite Wireless Power and KMH Hitech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wireless Power 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.| Wireless Power vs. Atinum Investment Co | Wireless Power vs. Stic Investments | Wireless Power vs. PJ Metal Co | Wireless Power vs. SBI Investment KOREA |
| KMH Hitech vs. Wireless Power Amplifier | KMH Hitech vs. Mobileleader CoLtd | KMH Hitech vs. Samick Musical Instruments | KMH Hitech vs. Ssangyong Information Communication |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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