Correlation Between Micro Leasing and Asia Sermkij
Can any of the company-specific risk be diversified away by investing in both Micro Leasing 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 Micro Leasing and Asia Sermkij into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Micro Leasing Public and Asia Sermkij Leasing, you can compare the effects of market volatilities on Micro Leasing 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 Micro Leasing with a short position of Asia Sermkij. Check out your portfolio center. Please also check ongoing floating volatility patterns of Micro Leasing and Asia Sermkij.
Diversification Opportunities for Micro Leasing and Asia Sermkij
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Micro and Asia is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Micro Leasing Public 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 Micro Leasing 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 Micro Leasing Public 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 Micro Leasing i.e., Micro Leasing and Asia Sermkij go up and down completely randomly.
Pair Corralation between Micro Leasing and Asia Sermkij
Assuming the 90 days trading horizon Micro Leasing Public is expected to under-perform the Asia Sermkij. In addition to that, Micro Leasing is 1.65 times more volatile than Asia Sermkij Leasing. It trades about -0.13 of its total potential returns per unit of risk. Asia Sermkij Leasing is currently generating about -0.19 per unit of volatility. If you would invest 1,440 in Asia Sermkij Leasing on September 12, 2024 and sell it today you would lose (360.00) from holding Asia Sermkij Leasing or give up 25.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Micro Leasing Public vs. Asia Sermkij Leasing
Performance |
Timeline |
Micro Leasing Public |
Asia Sermkij Leasing |
Micro Leasing and Asia Sermkij Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Micro Leasing and Asia Sermkij
The main advantage of trading using opposite Micro Leasing and Asia Sermkij positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Micro Leasing 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.Micro Leasing vs. Amanah Leasing Public | Micro Leasing vs. Muangthai Capital Public | Micro Leasing vs. Infraset Public | Micro Leasing vs. JMT Network Services |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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