Correlation Between AAC TECHNOLOGHLDGADR and INDOFOOD AGRI
Can any of the company-specific risk be diversified away by investing in both AAC TECHNOLOGHLDGADR and INDOFOOD AGRI 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 AAC TECHNOLOGHLDGADR and INDOFOOD AGRI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AAC TECHNOLOGHLDGADR and INDOFOOD AGRI RES, you can compare the effects of market volatilities on AAC TECHNOLOGHLDGADR and INDOFOOD AGRI 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 AAC TECHNOLOGHLDGADR with a short position of INDOFOOD AGRI. Check out your portfolio center. Please also check ongoing floating volatility patterns of AAC TECHNOLOGHLDGADR and INDOFOOD AGRI.
Diversification Opportunities for AAC TECHNOLOGHLDGADR and INDOFOOD AGRI
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between AAC and INDOFOOD is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding AAC TECHNOLOGHLDGADR and INDOFOOD AGRI RES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on INDOFOOD AGRI RES and AAC TECHNOLOGHLDGADR 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 AAC TECHNOLOGHLDGADR are associated (or correlated) with INDOFOOD AGRI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of INDOFOOD AGRI RES has no effect on the direction of AAC TECHNOLOGHLDGADR i.e., AAC TECHNOLOGHLDGADR and INDOFOOD AGRI go up and down completely randomly.
Pair Corralation between AAC TECHNOLOGHLDGADR and INDOFOOD AGRI
Assuming the 90 days horizon AAC TECHNOLOGHLDGADR is expected to generate 1.63 times more return on investment than INDOFOOD AGRI. However, AAC TECHNOLOGHLDGADR is 1.63 times more volatile than INDOFOOD AGRI RES. It trades about 0.13 of its potential returns per unit of risk. INDOFOOD AGRI RES is currently generating about 0.05 per unit of risk. If you would invest 366.00 in AAC TECHNOLOGHLDGADR on October 8, 2024 and sell it today you would earn a total of 92.00 from holding AAC TECHNOLOGHLDGADR or generate 25.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
AAC TECHNOLOGHLDGADR vs. INDOFOOD AGRI RES
Performance |
Timeline |
AAC TECHNOLOGHLDGADR |
INDOFOOD AGRI RES |
AAC TECHNOLOGHLDGADR and INDOFOOD AGRI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AAC TECHNOLOGHLDGADR and INDOFOOD AGRI
The main advantage of trading using opposite AAC TECHNOLOGHLDGADR and INDOFOOD AGRI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AAC TECHNOLOGHLDGADR position performs unexpectedly, INDOFOOD AGRI 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 INDOFOOD AGRI will offset losses from the drop in INDOFOOD AGRI's long position.AAC TECHNOLOGHLDGADR vs. ZTE Corporation | AAC TECHNOLOGHLDGADR vs. Superior Plus Corp | AAC TECHNOLOGHLDGADR vs. NMI Holdings | AAC TECHNOLOGHLDGADR vs. SIVERS SEMICONDUCTORS AB |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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