Correlation Between All Asset and Simt Multi-asset
Can any of the company-specific risk be diversified away by investing in both All Asset and Simt Multi-asset 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 All Asset and Simt Multi-asset into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between All Asset Fund and Simt Multi Asset Accumulation, you can compare the effects of market volatilities on All Asset and Simt Multi-asset 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 All Asset with a short position of Simt Multi-asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of All Asset and Simt Multi-asset.
Diversification Opportunities for All Asset and Simt Multi-asset
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between All and Simt is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding All Asset Fund and Simt Multi Asset Accumulation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simt Multi Asset and All Asset 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 All Asset Fund are associated (or correlated) with Simt Multi-asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simt Multi Asset has no effect on the direction of All Asset i.e., All Asset and Simt Multi-asset go up and down completely randomly.
Pair Corralation between All Asset and Simt Multi-asset
Assuming the 90 days horizon All Asset is expected to generate 1.01 times less return on investment than Simt Multi-asset. But when comparing it to its historical volatility, All Asset Fund is 1.36 times less risky than Simt Multi-asset. It trades about 0.04 of its potential returns per unit of risk. Simt Multi Asset Accumulation is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 671.00 in Simt Multi Asset Accumulation on October 20, 2024 and sell it today you would earn a total of 51.00 from holding Simt Multi Asset Accumulation or generate 7.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
All Asset Fund vs. Simt Multi Asset Accumulation
Performance |
Timeline |
All Asset Fund |
Simt Multi Asset |
All Asset and Simt Multi-asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with All Asset and Simt Multi-asset
The main advantage of trading using opposite All Asset and Simt Multi-asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if All Asset position performs unexpectedly, Simt Multi-asset 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 Simt Multi-asset will offset losses from the drop in Simt Multi-asset's long position.All Asset vs. Transamerica Financial Life | All Asset vs. Blackrock Financial Institutions | All Asset vs. Mesirow Financial Small | All Asset vs. Goldman Sachs Financial |
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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 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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