Correlation Between Asia Sermkij and Dexon Technology
Can any of the company-specific risk be diversified away by investing in both Asia Sermkij and Dexon Technology 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 Dexon Technology 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 Dexon Technology PCL, you can compare the effects of market volatilities on Asia Sermkij and Dexon Technology 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 Dexon Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asia Sermkij and Dexon Technology.
Diversification Opportunities for Asia Sermkij and Dexon Technology
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Asia and Dexon is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Asia Sermkij Leasing and Dexon Technology PCL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dexon Technology PCL 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 Dexon Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dexon Technology PCL has no effect on the direction of Asia Sermkij i.e., Asia Sermkij and Dexon Technology go up and down completely randomly.
Pair Corralation between Asia Sermkij and Dexon Technology
Assuming the 90 days trading horizon Asia Sermkij Leasing is expected to under-perform the Dexon Technology. But the stock apears to be less risky and, when comparing its historical volatility, Asia Sermkij Leasing is 2.37 times less risky than Dexon Technology. The stock trades about -0.29 of its potential returns per unit of risk. The Dexon Technology PCL is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 151.00 in Dexon Technology PCL on October 12, 2024 and sell it today you would lose (7.00) from holding Dexon Technology PCL or give up 4.64% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Asia Sermkij Leasing vs. Dexon Technology PCL
Performance |
Timeline |
Asia Sermkij Leasing |
Dexon Technology PCL |
Asia Sermkij and Dexon Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asia Sermkij and Dexon Technology
The main advantage of trading using opposite Asia Sermkij and Dexon Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asia Sermkij position performs unexpectedly, Dexon Technology 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 Dexon Technology will offset losses from the drop in Dexon Technology'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 |
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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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