Correlation Between Kingclean Electric and Digiwin Software
Specify exactly 2 symbols:
By analyzing existing cross correlation between Kingclean Electric Co and Digiwin Software Co, you can compare the effects of market volatilities on Kingclean Electric and Digiwin Software 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 Kingclean Electric with a short position of Digiwin Software. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kingclean Electric and Digiwin Software.
Diversification Opportunities for Kingclean Electric and Digiwin Software
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Kingclean and Digiwin is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Kingclean Electric Co and Digiwin Software Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Digiwin Software and Kingclean Electric 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 Kingclean Electric Co are associated (or correlated) with Digiwin Software. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Digiwin Software has no effect on the direction of Kingclean Electric i.e., Kingclean Electric and Digiwin Software go up and down completely randomly.
Pair Corralation between Kingclean Electric and Digiwin Software
Assuming the 90 days trading horizon Kingclean Electric is expected to generate 1.7 times less return on investment than Digiwin Software. But when comparing it to its historical volatility, Kingclean Electric Co is 2.29 times less risky than Digiwin Software. It trades about 0.15 of its potential returns per unit of risk. Digiwin Software Co is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 2,691 in Digiwin Software Co on December 26, 2024 and sell it today you would earn a total of 831.00 from holding Digiwin Software Co or generate 30.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.28% |
Values | Daily Returns |
Kingclean Electric Co vs. Digiwin Software Co
Performance |
Timeline |
Kingclean Electric |
Digiwin Software |
Kingclean Electric and Digiwin Software Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kingclean Electric and Digiwin Software
The main advantage of trading using opposite Kingclean Electric and Digiwin Software positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kingclean Electric position performs unexpectedly, Digiwin Software 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 Digiwin Software will offset losses from the drop in Digiwin Software's long position.Kingclean Electric vs. Shenzhen Urban Transport | Kingclean Electric vs. Dazhong Transportation Group | Kingclean Electric vs. JiShi Media Co | Kingclean Electric vs. Oriental Times Media |
Digiwin Software vs. Ping An Insurance | Digiwin Software vs. HeNan Splendor Science | Digiwin Software vs. Qilu Bank Co | Digiwin Software vs. Hainan Haiqi Transportation |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Other Complementary Tools
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |