Correlation Between Applied DB and PTT Public
Can any of the company-specific risk be diversified away by investing in both Applied DB and PTT Public 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 Applied DB and PTT Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied DB Public and PTT Public, you can compare the effects of market volatilities on Applied DB and PTT Public 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 Applied DB with a short position of PTT Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied DB and PTT Public.
Diversification Opportunities for Applied DB and PTT Public
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Applied and PTT is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Applied DB Public and PTT Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PTT Public and Applied DB 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 Applied DB Public are associated (or correlated) with PTT Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PTT Public has no effect on the direction of Applied DB i.e., Applied DB and PTT Public go up and down completely randomly.
Pair Corralation between Applied DB and PTT Public
Assuming the 90 days trading horizon Applied DB Public is expected to generate 4.31 times more return on investment than PTT Public. However, Applied DB is 4.31 times more volatile than PTT Public. It trades about -0.02 of its potential returns per unit of risk. PTT Public is currently generating about -0.2 per unit of risk. If you would invest 94.00 in Applied DB Public on September 27, 2024 and sell it today you would lose (6.00) from holding Applied DB Public or give up 6.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Applied DB Public vs. PTT Public
Performance |
Timeline |
Applied DB Public |
PTT Public |
Applied DB and PTT Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied DB and PTT Public
The main advantage of trading using opposite Applied DB and PTT Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied DB position performs unexpectedly, PTT Public 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 PTT Public will offset losses from the drop in PTT Public's long position.Applied DB vs. PTT Public | Applied DB vs. The Siam Commercial | Applied DB vs. Airports of Thailand | Applied DB vs. CP ALL Public |
PTT Public vs. The Siam Cement | PTT Public vs. Airports of Thailand | PTT Public vs. Kasikornbank Public | PTT Public vs. The Erawan Group |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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