Correlation Between K W and Asia Sermkij
Can any of the company-specific risk be diversified away by investing in both K W and Asia Sermkij 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 K W and Asia Sermkij into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between K W Metal and Asia Sermkij Leasing, you can compare the effects of market volatilities on K W and Asia Sermkij 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 K W with a short position of Asia Sermkij. Check out your portfolio center. Please also check ongoing floating volatility patterns of K W and Asia Sermkij.
Diversification Opportunities for K W and Asia Sermkij
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between KWM and Asia is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding K W Metal and Asia Sermkij Leasing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asia Sermkij Leasing and K W 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 K W Metal are associated (or correlated) with Asia Sermkij. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asia Sermkij Leasing has no effect on the direction of K W i.e., K W and Asia Sermkij go up and down completely randomly.
Pair Corralation between K W and Asia Sermkij
Assuming the 90 days trading horizon K W Metal is expected to generate 0.63 times more return on investment than Asia Sermkij. However, K W Metal is 1.58 times less risky than Asia Sermkij. It trades about -0.04 of its potential returns per unit of risk. Asia Sermkij Leasing is currently generating about -0.19 per unit of risk. If you would invest 134.00 in K W Metal on September 12, 2024 and sell it today you would lose (6.00) from holding K W Metal or give up 4.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
K W Metal vs. Asia Sermkij Leasing
Performance |
Timeline |
K W Metal |
Asia Sermkij Leasing |
K W and Asia Sermkij Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with K W and Asia Sermkij
The main advantage of trading using opposite K W and Asia Sermkij positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if K W position performs unexpectedly, Asia Sermkij 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 Asia Sermkij will offset losses from the drop in Asia Sermkij's long position.K W vs. Masterkool International Public | K W vs. Infraset Public | K W vs. KC Metalsheet Public | K W vs. DOD Biotech Public |
Asia Sermkij vs. KGI Securities Public | Asia Sermkij vs. Lalin Property Public | Asia Sermkij vs. Hwa Fong Rubber | Asia Sermkij vs. MCS Steel Public |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Other Complementary Tools
CEOs Directory Screen CEOs from public companies around the world | |
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |