Correlation Between ADHI KARYA and Applied Materials
Can any of the company-specific risk be diversified away by investing in both ADHI KARYA and Applied Materials 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 ADHI KARYA and Applied Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ADHI KARYA and Applied Materials, you can compare the effects of market volatilities on ADHI KARYA and Applied Materials 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 ADHI KARYA with a short position of Applied Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of ADHI KARYA and Applied Materials.
Diversification Opportunities for ADHI KARYA and Applied Materials
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ADHI and Applied is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding ADHI KARYA and Applied Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied Materials and ADHI KARYA 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 ADHI KARYA are associated (or correlated) with Applied Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applied Materials has no effect on the direction of ADHI KARYA i.e., ADHI KARYA and Applied Materials go up and down completely randomly.
Pair Corralation between ADHI KARYA and Applied Materials
Assuming the 90 days trading horizon ADHI KARYA is expected to under-perform the Applied Materials. In addition to that, ADHI KARYA is 1.53 times more volatile than Applied Materials. It trades about -0.06 of its total potential returns per unit of risk. Applied Materials is currently generating about -0.07 per unit of volatility. If you would invest 16,093 in Applied Materials on December 21, 2024 and sell it today you would lose (2,129) from holding Applied Materials or give up 13.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ADHI KARYA vs. Applied Materials
Performance |
Timeline |
ADHI KARYA |
Applied Materials |
ADHI KARYA and Applied Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ADHI KARYA and Applied Materials
The main advantage of trading using opposite ADHI KARYA and Applied Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ADHI KARYA position performs unexpectedly, Applied Materials 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 Applied Materials will offset losses from the drop in Applied Materials' long position.ADHI KARYA vs. UET United Electronic | ADHI KARYA vs. Transport International Holdings | ADHI KARYA vs. United Microelectronics Corp | ADHI KARYA vs. LPKF Laser Electronics |
Applied Materials vs. Q2M Managementberatung AG | Applied Materials vs. Citic Telecom International | Applied Materials vs. Ares Management Corp | Applied Materials vs. COMBA TELECOM SYST |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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