Correlation Between 1919 Financial and Astor Longshort
Can any of the company-specific risk be diversified away by investing in both 1919 Financial and Astor Longshort 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 1919 Financial and Astor Longshort into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between 1919 Financial Services and Astor Longshort Fund, you can compare the effects of market volatilities on 1919 Financial and Astor Longshort 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 1919 Financial with a short position of Astor Longshort. Check out your portfolio center. Please also check ongoing floating volatility patterns of 1919 Financial and Astor Longshort.
Diversification Opportunities for 1919 Financial and Astor Longshort
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 1919 and Astor is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding 1919 Financial Services and Astor Longshort Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Astor Longshort and 1919 Financial 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 1919 Financial Services are associated (or correlated) with Astor Longshort. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Astor Longshort has no effect on the direction of 1919 Financial i.e., 1919 Financial and Astor Longshort go up and down completely randomly.
Pair Corralation between 1919 Financial and Astor Longshort
Assuming the 90 days horizon 1919 Financial Services is expected to generate 1.46 times more return on investment than Astor Longshort. However, 1919 Financial is 1.46 times more volatile than Astor Longshort Fund. It trades about 0.0 of its potential returns per unit of risk. Astor Longshort Fund is currently generating about -0.1 per unit of risk. If you would invest 2,969 in 1919 Financial Services on September 26, 2024 and sell it today you would lose (42.00) from holding 1919 Financial Services or give up 1.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
1919 Financial Services vs. Astor Longshort Fund
Performance |
Timeline |
1919 Financial Services |
Astor Longshort |
1919 Financial and Astor Longshort Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with 1919 Financial and Astor Longshort
The main advantage of trading using opposite 1919 Financial and Astor Longshort positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 1919 Financial position performs unexpectedly, Astor Longshort 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 Astor Longshort will offset losses from the drop in Astor Longshort's long position.1919 Financial vs. Lord Abbett Convertible | 1919 Financial vs. Virtus Convertible | 1919 Financial vs. Advent Claymore Convertible | 1919 Financial vs. Gabelli Convertible And |
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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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