Correlation Between Gladstone Investment and DAX Index

Can any of the company-specific risk be diversified away by investing in both Gladstone Investment and DAX Index 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 Gladstone Investment and DAX Index into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Gladstone Investment and DAX Index, you can compare the effects of market volatilities on Gladstone Investment and DAX Index 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 Gladstone Investment with a short position of DAX Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gladstone Investment and DAX Index.

Diversification Opportunities for Gladstone Investment and DAX Index

0.83

Correlation Coefficient

Gladstone Investment  DAX Index

Very poor diversification

The 3 months correlation between Gladstone and DAX is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Gladstone Investment and DAX Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DAX Index and Gladstone Investment 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 Gladstone Investment are associated (or correlated) with DAX Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DAX Index has no effect on the direction of Gladstone Investment i.e., Gladstone Investment and DAX Index go up and down completely randomly.

Pair Corralation between Gladstone Investment and DAX Index

Assuming the 90 days horizon Gladstone Investment is expected to generate 1.93 times more return on investment than DAX Index. However, Gladstone Investment is 1.93 times more volatile than DAX Index. It trades about 0.05 of its potential returns per unit of risk. DAX Index is currently generating about 0.08 per unit of risk. If you would invest  912.00  in Gladstone Investment on August 30, 2024 and sell it today you would earn a total of  358.00  from holding Gladstone Investment or generate 39.25% return on investment over 90 days.

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

Gladstone Investment  vs.  DAX Index

Pair Trading with Gladstone Investment and DAX Index

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

The idea behind Gladstone Investment and DAX Index 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.

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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.