Correlation Between WILLIS LEASE and Telkom Indonesia
Can any of the company-specific risk be diversified away by investing in both WILLIS LEASE and Telkom Indonesia 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 WILLIS LEASE and Telkom Indonesia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WILLIS LEASE FIN and Telkom Indonesia Tbk, you can compare the effects of market volatilities on WILLIS LEASE and Telkom Indonesia 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 WILLIS LEASE with a short position of Telkom Indonesia. Check out your portfolio center. Please also check ongoing floating volatility patterns of WILLIS LEASE and Telkom Indonesia.
Diversification Opportunities for WILLIS LEASE and Telkom Indonesia
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between WILLIS and Telkom is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding WILLIS LEASE FIN and Telkom Indonesia Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Telkom Indonesia Tbk and WILLIS LEASE 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 WILLIS LEASE FIN are associated (or correlated) with Telkom Indonesia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Telkom Indonesia Tbk has no effect on the direction of WILLIS LEASE i.e., WILLIS LEASE and Telkom Indonesia go up and down completely randomly.
Pair Corralation between WILLIS LEASE and Telkom Indonesia
Assuming the 90 days horizon WILLIS LEASE FIN is expected to generate 3.86 times more return on investment than Telkom Indonesia. However, WILLIS LEASE is 3.86 times more volatile than Telkom Indonesia Tbk. It trades about 0.25 of its potential returns per unit of risk. Telkom Indonesia Tbk is currently generating about -0.07 per unit of risk. If you would invest 9,838 in WILLIS LEASE FIN on September 12, 2024 and sell it today you would earn a total of 9,162 from holding WILLIS LEASE FIN or generate 93.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
WILLIS LEASE FIN vs. Telkom Indonesia Tbk
Performance |
Timeline |
WILLIS LEASE FIN |
Telkom Indonesia Tbk |
WILLIS LEASE and Telkom Indonesia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WILLIS LEASE and Telkom Indonesia
The main advantage of trading using opposite WILLIS LEASE and Telkom Indonesia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WILLIS LEASE position performs unexpectedly, Telkom Indonesia 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 Telkom Indonesia will offset losses from the drop in Telkom Indonesia's long position.WILLIS LEASE vs. United Rentals | WILLIS LEASE vs. WillScot Mobile Mini | WILLIS LEASE vs. Superior Plus Corp | WILLIS LEASE vs. SIVERS SEMICONDUCTORS AB |
Telkom Indonesia vs. MARKET VECTR RETAIL | Telkom Indonesia vs. FAST RETAIL ADR | Telkom Indonesia vs. SBI Insurance Group | Telkom Indonesia vs. RETAIL FOOD 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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