Correlation Between Dow Jones and Thaire Life

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

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

Diversification Opportunities for Dow Jones and Thaire Life

-0.55

Correlation Coefficient

Dow Jones  Thaire Life

Excellent diversification

The 3 months correlation between Dow and Thaire is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Thaire Life Assurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thaire Life Assurance and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Thaire Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thaire Life Assurance has no effect on the direction of Dow Jones i.e., Dow Jones and Thaire Life go up and down completely randomly.

Pair Corralation between Dow Jones and Thaire Life

Assuming the 90 days trading horizon Dow Jones is expected to generate 141.56 times less return on investment than Thaire Life. But when comparing it to its historical volatility, Dow Jones Industrial is 121.25 times less risky than Thaire Life. It trades about 0.07 of its potential returns per unit of risk. Thaire Life Assurance is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest  174.00  in Thaire Life Assurance on September 28, 2024 and sell it today you would lose (14.00) from holding Thaire Life Assurance or give up 8.05% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	97.17%
Values	Daily Returns

Dow Jones Industrial  vs.  Thaire Life Assurance

Pair Trading with Dow Jones and Thaire Life

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

The idea behind Dow Jones Industrial and Thaire Life Assurance 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.