Correlation Between Amanah Leasing and Next Capital
Can any of the company-specific risk be diversified away by investing in both Amanah Leasing and Next Capital 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 Amanah Leasing and Next Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amanah Leasing Public and Next Capital Public, you can compare the effects of market volatilities on Amanah Leasing and Next Capital 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 Amanah Leasing with a short position of Next Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amanah Leasing and Next Capital.
Diversification Opportunities for Amanah Leasing and Next Capital
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Amanah and Next is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Amanah Leasing Public and Next Capital Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Next Capital Public and Amanah 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 Amanah Leasing Public are associated (or correlated) with Next Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Next Capital Public has no effect on the direction of Amanah Leasing i.e., Amanah Leasing and Next Capital go up and down completely randomly.
Pair Corralation between Amanah Leasing and Next Capital
Assuming the 90 days trading horizon Amanah Leasing Public is expected to under-perform the Next Capital. But the stock apears to be less risky and, when comparing its historical volatility, Amanah Leasing Public is 1.52 times less risky than Next Capital. The stock trades about -0.22 of its potential returns per unit of risk. The Next Capital Public is currently generating about -0.12 of returns per unit of risk over similar time horizon. If you would invest 204.00 in Next Capital Public on September 27, 2024 and sell it today you would lose (50.00) from holding Next Capital Public or give up 24.51% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Amanah Leasing Public vs. Next Capital Public
Performance |
Timeline |
Amanah Leasing Public |
Next Capital Public |
Amanah Leasing and Next Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amanah Leasing and Next Capital
The main advantage of trading using opposite Amanah Leasing and Next Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amanah Leasing position performs unexpectedly, Next Capital 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 Next Capital will offset losses from the drop in Next Capital's long position.Amanah Leasing vs. Kasikornbank Public | Amanah Leasing vs. PTT Public | Amanah Leasing vs. The Siam Cement |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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