Correlation Between Kiattana Transport and K W
Can any of the company-specific risk be diversified away by investing in both Kiattana Transport and K W 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 Kiattana Transport and K W into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kiattana Transport Public and K W Metal, you can compare the effects of market volatilities on Kiattana Transport and K W 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 Kiattana Transport with a short position of K W. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kiattana Transport and K W.
Diversification Opportunities for Kiattana Transport and K W
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kiattana and KWM is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Kiattana Transport Public and K W Metal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on K W Metal and Kiattana Transport 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 Kiattana Transport Public are associated (or correlated) with K W. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of K W Metal has no effect on the direction of Kiattana Transport i.e., Kiattana Transport and K W go up and down completely randomly.
Pair Corralation between Kiattana Transport and K W
Assuming the 90 days trading horizon Kiattana Transport Public is expected to under-perform the K W. In addition to that, Kiattana Transport is 1.46 times more volatile than K W Metal. It trades about -0.1 of its total potential returns per unit of risk. K W Metal is currently generating about -0.14 per unit of volatility. If you would invest 141.00 in K W Metal on September 25, 2024 and sell it today you would lose (17.00) from holding K W Metal or give up 12.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Kiattana Transport Public vs. K W Metal
Performance |
Timeline |
Kiattana Transport Public |
K W Metal |
Kiattana Transport and K W Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kiattana Transport and K W
The main advantage of trading using opposite Kiattana Transport and K W positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kiattana Transport position performs unexpectedly, K W 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 K W will offset losses from the drop in K W's long position.Kiattana Transport vs. Namyong Terminal PCL | Kiattana Transport vs. Hwa Fong Rubber | Kiattana Transport vs. Karmarts Public | Kiattana Transport vs. Jay Mart Public |
K W vs. Masterkool International Public | K W vs. Infraset Public | K W vs. KC Metalsheet Public | K W vs. DOD Biotech 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Other Complementary Tools
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |