Correlation Between IMGP DBi and Quadratic Interest
Can any of the company-specific risk be diversified away by investing in both IMGP DBi and Quadratic Interest 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 IMGP DBi and Quadratic Interest into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iMGP DBi Managed and Quadratic Interest Rate, you can compare the effects of market volatilities on IMGP DBi and Quadratic Interest 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 IMGP DBi with a short position of Quadratic Interest. Check out your portfolio center. Please also check ongoing floating volatility patterns of IMGP DBi and Quadratic Interest.
Diversification Opportunities for IMGP DBi and Quadratic Interest
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between IMGP and Quadratic is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding iMGP DBi Managed and Quadratic Interest Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quadratic Interest Rate and IMGP DBi 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 iMGP DBi Managed are associated (or correlated) with Quadratic Interest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quadratic Interest Rate has no effect on the direction of IMGP DBi i.e., IMGP DBi and Quadratic Interest go up and down completely randomly.
Pair Corralation between IMGP DBi and Quadratic Interest
Given the investment horizon of 90 days iMGP DBi Managed is expected to generate 0.79 times more return on investment than Quadratic Interest. However, iMGP DBi Managed is 1.26 times less risky than Quadratic Interest. It trades about -0.03 of its potential returns per unit of risk. Quadratic Interest Rate is currently generating about -0.19 per unit of risk. If you would invest 2,758 in iMGP DBi Managed on September 5, 2024 and sell it today you would lose (28.00) from holding iMGP DBi Managed or give up 1.02% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
iMGP DBi Managed vs. Quadratic Interest Rate
Performance |
Timeline |
iMGP DBi Managed |
Quadratic Interest Rate |
IMGP DBi and Quadratic Interest Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IMGP DBi and Quadratic Interest
The main advantage of trading using opposite IMGP DBi and Quadratic Interest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IMGP DBi position performs unexpectedly, Quadratic Interest 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 Quadratic Interest will offset losses from the drop in Quadratic Interest's long position.IMGP DBi vs. KFA Mount Lucas | IMGP DBi vs. Simplify Exchange Traded | IMGP DBi vs. Simplify Interest Rate | IMGP DBi vs. First Trust Managed |
Quadratic Interest vs. Horizon Kinetics Inflation | Quadratic Interest vs. Simplify Interest Rate | Quadratic Interest vs. Quadratic Deflation ETF | Quadratic Interest vs. Cambria Tail Risk |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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