Correlation Between Lazard Us and Dow Jones

Can any of the company-specific risk be diversified away by investing in both Lazard Us and Dow Jones 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 Lazard Us and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Lazard Strategic Equity and Dow Jones Industrial, you can compare the effects of market volatilities on Lazard Us and Dow Jones 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 Lazard Us with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lazard Us and Dow Jones.

Diversification Opportunities for Lazard Us and Dow Jones

0.95

Correlation Coefficient

Lazard Us  Dow Jones

Almost no diversification

The 3 months correlation between Lazard and Dow is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Lazard Strategic Equity and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Lazard Us 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 Lazard Strategic Equity are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Lazard Us i.e., Lazard Us and Dow Jones go up and down completely randomly.

Pair Corralation between Lazard Us and Dow Jones

Assuming the 90 days horizon Lazard Us is expected to generate 9.43 times less return on investment than Dow Jones. But when comparing it to its historical volatility, Lazard Strategic Equity is 1.05 times less risky than Dow Jones. It trades about 0.0 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest  4,429,313  in Dow Jones Industrial on September 10, 2024 and sell it today you would earn a total of  10,880  from holding Dow Jones Industrial or generate 0.25% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	95.24%
Values	Daily Returns

Lazard Strategic Equity  vs.  Dow Jones Industrial

Pair Trading with Lazard Us and Dow Jones

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

The idea behind Lazard Strategic Equity and Dow Jones Industrial 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.