Correlation Between Applied Finance and Strategic Asset
Can any of the company-specific risk be diversified away by investing in both Applied Finance and Strategic 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 Applied Finance and Strategic Asset into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Finance Explorer and Strategic Asset Management, you can compare the effects of market volatilities on Applied Finance and Strategic 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 Applied Finance with a short position of Strategic Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Finance and Strategic Asset.
Diversification Opportunities for Applied Finance and Strategic Asset
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Applied and Strategic is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Applied Finance Explorer and Strategic Asset Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Strategic Asset Mana and Applied Finance 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 Applied Finance Explorer are associated (or correlated) with Strategic Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Strategic Asset Mana has no effect on the direction of Applied Finance i.e., Applied Finance and Strategic Asset go up and down completely randomly.
Pair Corralation between Applied Finance and Strategic Asset
Assuming the 90 days horizon Applied Finance Explorer is expected to generate 4.59 times more return on investment than Strategic Asset. However, Applied Finance is 4.59 times more volatile than Strategic Asset Management. It trades about 0.13 of its potential returns per unit of risk. Strategic Asset Management is currently generating about 0.25 per unit of risk. If you would invest 2,206 in Applied Finance Explorer on July 7, 2025 and sell it today you would earn a total of 191.00 from holding Applied Finance Explorer or generate 8.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Applied Finance Explorer vs. Strategic Asset Management
Performance |
Timeline |
Applied Finance Explorer |
Strategic Asset Mana |
Applied Finance and Strategic Asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Finance and Strategic Asset
The main advantage of trading using opposite Applied Finance and Strategic Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Finance position performs unexpectedly, Strategic 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 Strategic Asset will offset losses from the drop in Strategic Asset's long position.Applied Finance vs. Thrivent Small Cap | Applied Finance vs. Applied Finance Select | Applied Finance vs. Parnassus Endeavor Fund | Applied Finance vs. Queens Road Small |
Strategic Asset vs. Strategic Asset Management | Strategic Asset vs. Strategic Asset Management | Strategic Asset vs. Strategic Asset Management | Strategic Asset vs. Strategic Asset Management |
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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