Correlation Between Dow Jones and Smart Gunes

Can any of the company-specific risk be diversified away by investing in both Dow Jones and Smart Gunes 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 Smart Gunes 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 Smart Gunes Enerjisi, you can compare the effects of market volatilities on Dow Jones and Smart Gunes 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 Smart Gunes. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Smart Gunes.

Diversification Opportunities for Dow Jones and Smart Gunes

0.26

Correlation Coefficient

Dow Jones  Smart Gunes

Modest diversification

The 3 months correlation between Dow and Smart is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Smart Gunes Enerjisi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Smart Gunes Enerjisi 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 Smart Gunes. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Smart Gunes Enerjisi has no effect on the direction of Dow Jones i.e., Dow Jones and Smart Gunes go up and down completely randomly.

Pair Corralation between Dow Jones and Smart Gunes

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Smart Gunes. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 2.7 times less risky than Smart Gunes. The index trades about -0.21 of its potential returns per unit of risk. The Smart Gunes Enerjisi is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest  3,814  in Smart Gunes Enerjisi on September 23, 2024 and sell it today you would earn a total of  186.00  from holding Smart Gunes Enerjisi or generate 4.88% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	95.45%
Values	Daily Returns

Dow Jones Industrial  vs.  Smart Gunes Enerjisi

Pair Trading with Dow Jones and Smart Gunes

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

The idea behind Dow Jones Industrial and Smart Gunes Enerjisi 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.