Correlation Between Killam Apartment and Dow Jones

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

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

Diversification Opportunities for Killam Apartment and Dow Jones

-0.6

Correlation Coefficient

Killam Apartment  Dow Jones

Excellent diversification

The 3 months correlation between Killam and Dow is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Killam Apartment Real 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 Killam Apartment 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 Killam Apartment Real 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 Killam Apartment i.e., Killam Apartment and Dow Jones go up and down completely randomly.

Pair Corralation between Killam Apartment and Dow Jones

Assuming the 90 days trading horizon Killam Apartment Real is expected to generate 1.29 times more return on investment than Dow Jones. However, Killam Apartment is 1.29 times more volatile than Dow Jones Industrial. It trades about 0.03 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about -0.04 per unit of risk. If you would invest  1,710  in Killam Apartment Real on December 31, 2024 and sell it today you would earn a total of  25.00  from holding Killam Apartment Real or generate 1.46% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	96.83%
Values	Daily Returns

Killam Apartment Real  vs.  Dow Jones Industrial

Pair Trading with Killam Apartment and Dow Jones

The main advantage of trading using opposite Killam Apartment and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Killam Apartment 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 Killam Apartment Real 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.