Correlation Between Dunham High and Pax Small
Can any of the company-specific risk be diversified away by investing in both Dunham High and Pax Small 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 Dunham High and Pax Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dunham High Yield and Pax Small Cap, you can compare the effects of market volatilities on Dunham High and Pax Small 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 Dunham High with a short position of Pax Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dunham High and Pax Small.
Diversification Opportunities for Dunham High and Pax Small
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dunham and Pax is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Dunham High Yield and Pax Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pax Small Cap and Dunham High 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 Dunham High Yield are associated (or correlated) with Pax Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pax Small Cap has no effect on the direction of Dunham High i.e., Dunham High and Pax Small go up and down completely randomly.
Pair Corralation between Dunham High and Pax Small
Assuming the 90 days horizon Dunham High is expected to generate 2.28 times less return on investment than Pax Small. But when comparing it to its historical volatility, Dunham High Yield is 7.24 times less risky than Pax Small. It trades about 0.22 of its potential returns per unit of risk. Pax Small Cap is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,896 in Pax Small Cap on September 13, 2024 and sell it today you would earn a total of 23.00 from holding Pax Small Cap or generate 1.21% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dunham High Yield vs. Pax Small Cap
Performance |
| Timeline |
| Dunham High Yield |
| Pax Small Cap |
Dunham High and Pax Small Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dunham High and Pax Small
The main advantage of trading using opposite Dunham High and Pax Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham High position performs unexpectedly, Pax Small 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 Pax Small will offset losses from the drop in Pax Small's long position.| Dunham High vs. Fulcrum Diversified Absolute | Dunham High vs. Wealthbuilder Conservative Allocation | Dunham High vs. Aqr Diversified Arbitrage | Dunham High vs. Allianzgi Diversified Income |
| Pax Small vs. Franklin Federal Limited Term | Pax Small vs. Blackrock Short Term Inflat Protected | Pax Small vs. Boston Partners Longshort | Pax Small vs. Lord Abbett Short |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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