Correlation Between Telkom Indonesia and AppHarvest
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and AppHarvest 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 Telkom Indonesia and AppHarvest into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Telkom Indonesia Tbk and AppHarvest, you can compare the effects of market volatilities on Telkom Indonesia and AppHarvest 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 Telkom Indonesia with a short position of AppHarvest. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and AppHarvest.
Diversification Opportunities for Telkom Indonesia and AppHarvest
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Telkom and AppHarvest is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and AppHarvest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AppHarvest and Telkom Indonesia 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 Telkom Indonesia Tbk are associated (or correlated) with AppHarvest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AppHarvest has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and AppHarvest go up and down completely randomly.
Pair Corralation between Telkom Indonesia and AppHarvest
If you would invest 18.00 in Telkom Indonesia Tbk on September 1, 2024 and sell it today you would earn a total of 1.00 from holding Telkom Indonesia Tbk or generate 5.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 1.59% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. AppHarvest
Performance |
Timeline |
Telkom Indonesia Tbk |
AppHarvest |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Telkom Indonesia and AppHarvest Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and AppHarvest
The main advantage of trading using opposite Telkom Indonesia and AppHarvest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, AppHarvest 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 AppHarvest will offset losses from the drop in AppHarvest's long position.Telkom Indonesia vs. Verizon Communications | Telkom Indonesia vs. ATT Inc | Telkom Indonesia vs. Comcast Corp |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
Other Complementary Tools
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |