Correlation Between Ultrashort China and Short Real
Can any of the company-specific risk be diversified away by investing in both Ultrashort China and Short Real 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 Ultrashort China and Short Real into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ultrashort China Profund and Short Real Estate, you can compare the effects of market volatilities on Ultrashort China and Short Real 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 Ultrashort China with a short position of Short Real. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ultrashort China and Short Real.
Diversification Opportunities for Ultrashort China and Short Real
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Ultrashort and Short is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Ultrashort China Profund and Short Real Estate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Short Real Estate and Ultrashort China 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 Ultrashort China Profund are associated (or correlated) with Short Real. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Short Real Estate has no effect on the direction of Ultrashort China i.e., Ultrashort China and Short Real go up and down completely randomly.
Pair Corralation between Ultrashort China and Short Real
Assuming the 90 days horizon Ultrashort China Profund is expected to generate 3.6 times more return on investment than Short Real. However, Ultrashort China is 3.6 times more volatile than Short Real Estate. It trades about 0.1 of its potential returns per unit of risk. Short Real Estate is currently generating about 0.04 per unit of risk. If you would invest 304.00 in Ultrashort China Profund on October 11, 2024 and sell it today you would earn a total of 80.00 from holding Ultrashort China Profund or generate 26.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ultrashort China Profund vs. Short Real Estate
Performance |
Timeline |
Ultrashort China Profund |
Short Real Estate |
Ultrashort China and Short Real Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ultrashort China and Short Real
The main advantage of trading using opposite Ultrashort China and Short Real positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ultrashort China position performs unexpectedly, Short Real 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 Short Real will offset losses from the drop in Short Real's long position.Ultrashort China vs. Short Real Estate | Ultrashort China vs. Short Real Estate | Ultrashort China vs. Ultrashort Mid Cap Profund | Ultrashort China vs. Ultrashort Mid Cap Profund |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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