Correlation Between DAX Index and Haverty Furniture

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

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

Diversification Opportunities for DAX Index and Haverty Furniture

-0.43

Correlation Coefficient

DAX Index  Haverty Furniture

Very good diversification

The 3 months correlation between DAX and Haverty is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Haverty Furniture Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Haverty Furniture and DAX Index 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 DAX Index are associated (or correlated) with Haverty Furniture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Haverty Furniture has no effect on the direction of DAX Index i.e., DAX Index and Haverty Furniture go up and down completely randomly.

Pair Corralation between DAX Index and Haverty Furniture

Assuming the 90 days trading horizon DAX Index is expected to generate 0.45 times more return on investment than Haverty Furniture. However, DAX Index is 2.23 times less risky than Haverty Furniture. It trades about 0.17 of its potential returns per unit of risk. Haverty Furniture Companies is currently generating about -0.04 per unit of risk. If you would invest  1,990,914  in DAX Index on December 30, 2024 and sell it today you would earn a total of  255,238  from holding DAX Index or generate 12.82% return on investment over 90 days.

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

DAX Index  vs.  Haverty Furniture Companies

Pair Trading with DAX Index and Haverty Furniture

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

The idea behind DAX Index and Haverty Furniture Companies 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.