Correlation Between PT Astra and LiveChat Software
Can any of the company-specific risk be diversified away by investing in both PT Astra and LiveChat Software 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 PT Astra and LiveChat Software into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Astra International and LiveChat Software SA, you can compare the effects of market volatilities on PT Astra and LiveChat Software 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 PT Astra with a short position of LiveChat Software. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Astra and LiveChat Software.
Diversification Opportunities for PT Astra and LiveChat Software
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between PTAIF and LiveChat is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding PT Astra International and LiveChat Software SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LiveChat Software and PT Astra 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 PT Astra International are associated (or correlated) with LiveChat Software. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LiveChat Software has no effect on the direction of PT Astra i.e., PT Astra and LiveChat Software go up and down completely randomly.
Pair Corralation between PT Astra and LiveChat Software
Assuming the 90 days horizon PT Astra International is expected to generate 0.68 times more return on investment than LiveChat Software. However, PT Astra International is 1.48 times less risky than LiveChat Software. It trades about -0.08 of its potential returns per unit of risk. LiveChat Software SA is currently generating about -0.15 per unit of risk. If you would invest 35.00 in PT Astra International on September 26, 2024 and sell it today you would lose (5.00) from holding PT Astra International or give up 14.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PT Astra International vs. LiveChat Software SA
Performance |
Timeline |
PT Astra International |
LiveChat Software |
PT Astra and LiveChat Software Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Astra and LiveChat Software
The main advantage of trading using opposite PT Astra and LiveChat Software positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Astra position performs unexpectedly, LiveChat Software 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 LiveChat Software will offset losses from the drop in LiveChat Software's long position.PT Astra vs. BKV Corporation | PT Astra vs. Republic Bancorp | PT Astra vs. KKR Co LP | PT Astra vs. Obayashi |
LiveChat Software vs. NextPlat Corp | LiveChat Software vs. Liquid Avatar Technologies | LiveChat Software vs. Waldencast Acquisition Corp | LiveChat Software vs. CXApp Inc |
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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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