Correlation Between Asia Sermkij and Pan Asia
Can any of the company-specific risk be diversified away by investing in both Asia Sermkij and Pan Asia 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 Asia Sermkij and Pan Asia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asia Sermkij Leasing and Pan Asia Footwear, you can compare the effects of market volatilities on Asia Sermkij and Pan Asia 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 Asia Sermkij with a short position of Pan Asia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asia Sermkij and Pan Asia.
Diversification Opportunities for Asia Sermkij and Pan Asia
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Asia and Pan is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Asia Sermkij Leasing and Pan Asia Footwear in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pan Asia Footwear and Asia Sermkij 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 Asia Sermkij Leasing are associated (or correlated) with Pan Asia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pan Asia Footwear has no effect on the direction of Asia Sermkij i.e., Asia Sermkij and Pan Asia go up and down completely randomly.
Pair Corralation between Asia Sermkij and Pan Asia
Assuming the 90 days trading horizon Asia Sermkij Leasing is expected to under-perform the Pan Asia. But the stock apears to be less risky and, when comparing its historical volatility, Asia Sermkij Leasing is 27.76 times less risky than Pan Asia. The stock trades about -0.06 of its potential returns per unit of risk. The Pan Asia Footwear is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 119.00 in Pan Asia Footwear on October 7, 2024 and sell it today you would lose (22.00) from holding Pan Asia Footwear or give up 18.49% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Asia Sermkij Leasing vs. Pan Asia Footwear
Performance |
Timeline |
Asia Sermkij Leasing |
Pan Asia Footwear |
Asia Sermkij and Pan Asia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asia Sermkij and Pan Asia
The main advantage of trading using opposite Asia Sermkij and Pan Asia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asia Sermkij position performs unexpectedly, Pan Asia 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 Pan Asia will offset losses from the drop in Pan Asia's long position.Asia Sermkij vs. AP Public | Asia Sermkij vs. Kiatnakin Phatra Bank | Asia Sermkij vs. TISCO Financial Group | Asia Sermkij vs. Carabao Group Public |
Pan Asia vs. Peoples Garment Public | Pan Asia vs. Nawarat Patanakarn Public | Pan Asia vs. KGI Securities Public | Pan Asia vs. Pato Chemical Industry |
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.
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