Correlation Between Dow Jones and Fintech Ecosystem

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

Diversification Opportunities for Dow Jones and Fintech Ecosystem

0.32

Correlation Coefficient

Dow Jones  Fintech Ecosystem

Weak diversification

The 3 months correlation between Dow and Fintech is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Fintech Ecosystem Development in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fintech Ecosystem 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 Fintech Ecosystem. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fintech Ecosystem has no effect on the direction of Dow Jones i.e., Dow Jones and Fintech Ecosystem go up and down completely randomly.

Pair Corralation between Dow Jones and Fintech Ecosystem

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.7 times more return on investment than Fintech Ecosystem. However, Dow Jones Industrial is 1.43 times less risky than Fintech Ecosystem. It trades about 0.08 of its potential returns per unit of risk. Fintech Ecosystem Development is currently generating about 0.04 per unit of risk. If you would invest  3,320,393  in Dow Jones Industrial on September 13, 2024 and sell it today you would earn a total of  1,094,463  from holding Dow Jones Industrial or generate 32.96% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	84.41%
Values	Daily Returns

Dow Jones Industrial  vs.  Fintech Ecosystem Development

Pair Trading with Dow Jones and Fintech Ecosystem

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

The idea behind Dow Jones Industrial and Fintech Ecosystem Development 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.