Correlation Between Small Cap and Transamerica Floating
Can any of the company-specific risk be diversified away by investing in both Small Cap and Transamerica Floating 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 Small Cap and Transamerica Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Small Cap Equity and Transamerica Floating Rate, you can compare the effects of market volatilities on Small Cap and Transamerica Floating 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 Small Cap with a short position of Transamerica Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Small Cap and Transamerica Floating.
Diversification Opportunities for Small Cap and Transamerica Floating
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Small and Transamerica is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Small Cap Equity and Transamerica Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Transamerica Floating and Small Cap 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 Small Cap Equity are associated (or correlated) with Transamerica Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Transamerica Floating has no effect on the direction of Small Cap i.e., Small Cap and Transamerica Floating go up and down completely randomly.
Pair Corralation between Small Cap and Transamerica Floating
Assuming the 90 days horizon Small Cap Equity is expected to generate 9.43 times more return on investment than Transamerica Floating. However, Small Cap is 9.43 times more volatile than Transamerica Floating Rate. It trades about 0.17 of its potential returns per unit of risk. Transamerica Floating Rate is currently generating about 0.25 per unit of risk. If you would invest 1,797 in Small Cap Equity on September 4, 2024 and sell it today you would earn a total of 242.00 from holding Small Cap Equity or generate 13.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Small Cap Equity vs. Transamerica Floating Rate
Performance |
Timeline |
Small Cap Equity |
Transamerica Floating |
Small Cap and Transamerica Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Small Cap and Transamerica Floating
The main advantage of trading using opposite Small Cap and Transamerica Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Small Cap position performs unexpectedly, Transamerica Floating 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 Transamerica Floating will offset losses from the drop in Transamerica Floating's long position.Small Cap vs. Firsthand Alternative Energy | Small Cap vs. Salient Mlp Energy | Small Cap vs. Tortoise Energy Independence | Small Cap vs. Goehring Rozencwajg Resources |
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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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