Correlation Between Bandwidth and Pagaya Technologies
Can any of the company-specific risk be diversified away by investing in both Bandwidth and Pagaya Technologies 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 Bandwidth and Pagaya Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bandwidth and Pagaya Technologies, you can compare the effects of market volatilities on Bandwidth and Pagaya Technologies 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 Bandwidth with a short position of Pagaya Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bandwidth and Pagaya Technologies.
Diversification Opportunities for Bandwidth and Pagaya Technologies
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bandwidth and Pagaya is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Bandwidth and Pagaya Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pagaya Technologies and Bandwidth 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 Bandwidth are associated (or correlated) with Pagaya Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pagaya Technologies has no effect on the direction of Bandwidth i.e., Bandwidth and Pagaya Technologies go up and down completely randomly.
Pair Corralation between Bandwidth and Pagaya Technologies
Given the investment horizon of 90 days Bandwidth is expected to generate 0.33 times more return on investment than Pagaya Technologies. However, Bandwidth is 3.06 times less risky than Pagaya Technologies. It trades about 0.12 of its potential returns per unit of risk. Pagaya Technologies is currently generating about 0.03 per unit of risk. If you would invest 1,950 in Bandwidth on September 1, 2024 and sell it today you would earn a total of 153.00 from holding Bandwidth or generate 7.85% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bandwidth vs. Pagaya Technologies
Performance |
| Timeline |
| Bandwidth |
| Pagaya Technologies |
Bandwidth and Pagaya Technologies Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bandwidth and Pagaya Technologies
The main advantage of trading using opposite Bandwidth and Pagaya Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bandwidth position performs unexpectedly, Pagaya Technologies 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 Pagaya Technologies will offset losses from the drop in Pagaya Technologies' long position.| Bandwidth vs. DigitalOcean Holdings | Bandwidth vs. Adyen NV | Bandwidth vs. Okta Inc | Bandwidth vs. Confluent |
| Pagaya Technologies vs. Alarum Technologies | Pagaya Technologies vs. Arqit Quantum | Pagaya Technologies vs. Nutanix | Pagaya Technologies vs. Palo Alto Networks |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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