Correlation Between Infraset Public and Nex Point
Can any of the company-specific risk be diversified away by investing in both Infraset Public and Nex Point 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 Infraset Public and Nex Point into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Infraset Public and Nex Point Public, you can compare the effects of market volatilities on Infraset Public and Nex Point 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 Infraset Public with a short position of Nex Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of Infraset Public and Nex Point.
Diversification Opportunities for Infraset Public and Nex Point
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Infraset and Nex is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Infraset Public and Nex Point Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nex Point Public and Infraset Public 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 Infraset Public are associated (or correlated) with Nex Point. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nex Point Public has no effect on the direction of Infraset Public i.e., Infraset Public and Nex Point go up and down completely randomly.
Pair Corralation between Infraset Public and Nex Point
Assuming the 90 days trading horizon Infraset Public is expected to generate 0.85 times more return on investment than Nex Point. However, Infraset Public is 1.18 times less risky than Nex Point. It trades about -0.02 of its potential returns per unit of risk. Nex Point Public is currently generating about -0.33 per unit of risk. If you would invest 330.00 in Infraset Public on August 31, 2024 and sell it today you would lose (12.00) from holding Infraset Public or give up 3.64% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Infraset Public vs. Nex Point Public
Performance |
| Timeline |
| Infraset Public |
| Nex Point Public |
Infraset Public and Nex Point Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Infraset Public and Nex Point
The main advantage of trading using opposite Infraset Public and Nex Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Infraset Public position performs unexpectedly, Nex Point 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 Nex Point will offset losses from the drop in Nex Point's long position.| Infraset Public vs. Interlink Telecom Public | Infraset Public vs. Internet Thailand Public | Infraset Public vs. Humanica Public | Infraset Public vs. Hana Microelectronics Public |
| Nex Point vs. GULF ENERGY DEVELOPMENT NVDR | Nex Point vs. Kiatnakin Phatra Bank | Nex Point vs. Thai Oil Public | Nex Point vs. The Erawan 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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