Correlation Between Infosys and Terns Pharmaceuticals
Can any of the company-specific risk be diversified away by investing in both Infosys and Terns Pharmaceuticals 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 Infosys and Terns Pharmaceuticals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Infosys Ltd ADR and Terns Pharmaceuticals, you can compare the effects of market volatilities on Infosys and Terns Pharmaceuticals 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 Infosys with a short position of Terns Pharmaceuticals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Infosys and Terns Pharmaceuticals.
Diversification Opportunities for Infosys and Terns Pharmaceuticals
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Infosys and Terns is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Infosys Ltd ADR and Terns Pharmaceuticals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Terns Pharmaceuticals and Infosys 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 Infosys Ltd ADR are associated (or correlated) with Terns Pharmaceuticals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Terns Pharmaceuticals has no effect on the direction of Infosys i.e., Infosys and Terns Pharmaceuticals go up and down completely randomly.
Pair Corralation between Infosys and Terns Pharmaceuticals
Given the investment horizon of 90 days Infosys Ltd ADR is expected to under-perform the Terns Pharmaceuticals. But the stock apears to be less risky and, when comparing its historical volatility, Infosys Ltd ADR is 2.67 times less risky than Terns Pharmaceuticals. The stock trades about -0.08 of its potential returns per unit of risk. The Terns Pharmaceuticals is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 511.00 in Terns Pharmaceuticals on July 12, 2025 and sell it today you would earn a total of 339.00 from holding Terns Pharmaceuticals or generate 66.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Infosys Ltd ADR vs. Terns Pharmaceuticals
Performance |
Timeline |
Infosys Ltd ADR |
Terns Pharmaceuticals |
Infosys and Terns Pharmaceuticals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Infosys and Terns Pharmaceuticals
The main advantage of trading using opposite Infosys and Terns Pharmaceuticals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Infosys position performs unexpectedly, Terns Pharmaceuticals 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 Terns Pharmaceuticals will offset losses from the drop in Terns Pharmaceuticals' long position.Infosys vs. Intel | Infosys vs. Thrivent High Yield | Infosys vs. Morningstar Unconstrained Allocation | Infosys vs. Via Renewables |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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