Correlation Between Alger Dynamic and CBOE Crude

Can any of the company-specific risk be diversified away by investing in both Alger Dynamic and CBOE Crude 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 Alger Dynamic and CBOE Crude into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Alger Dynamic Opportunities and CBOE Crude Oil, you can compare the effects of market volatilities on Alger Dynamic and CBOE Crude 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 Alger Dynamic with a short position of CBOE Crude. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alger Dynamic and CBOE Crude.

Diversification Opportunities for Alger Dynamic and CBOE Crude

-0.73

Correlation Coefficient

Alger Dynamic  CBOE Crude

Pay attention - limited upside

The 3 months correlation between Alger and CBOE is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Alger Dynamic Opportunities and CBOE Crude Oil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CBOE Crude Oil and Alger Dynamic 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 Alger Dynamic Opportunities are associated (or correlated) with CBOE Crude. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CBOE Crude Oil has no effect on the direction of Alger Dynamic i.e., Alger Dynamic and CBOE Crude go up and down completely randomly.

Pair Corralation between Alger Dynamic and CBOE Crude

Assuming the 90 days horizon Alger Dynamic Opportunities is expected to generate 0.11 times more return on investment than CBOE Crude. However, Alger Dynamic Opportunities is 8.96 times less risky than CBOE Crude. It trades about 0.16 of its potential returns per unit of risk. CBOE Crude Oil is currently generating about -0.03 per unit of risk. If you would invest  2,050  in Alger Dynamic Opportunities on September 29, 2024 and sell it today you would earn a total of  162.00  from holding Alger Dynamic Opportunities or generate 7.9% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

Alger Dynamic Opportunities  vs.  CBOE Crude Oil

Pair Trading with Alger Dynamic and CBOE Crude

The main advantage of trading using opposite Alger Dynamic and CBOE Crude positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alger Dynamic position performs unexpectedly, CBOE Crude 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 CBOE Crude will offset losses from the drop in CBOE Crude's long position.

The idea behind Alger Dynamic Opportunities and CBOE Crude Oil pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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.