Correlation Between Dow Jones and TAS Offshore

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

Diversification Opportunities for Dow Jones and TAS Offshore

-0.15

Correlation Coefficient

Dow Jones  TAS Offshore

Good diversification

The 3 months correlation between Dow and TAS is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and TAS Offshore Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TAS Offshore Bhd 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 TAS Offshore. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TAS Offshore Bhd has no effect on the direction of Dow Jones i.e., Dow Jones and TAS Offshore go up and down completely randomly.

Pair Corralation between Dow Jones and TAS Offshore

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.29 times more return on investment than TAS Offshore. However, Dow Jones Industrial is 3.5 times less risky than TAS Offshore. It trades about 0.2 of its potential returns per unit of risk. TAS Offshore Bhd is currently generating about -0.01 per unit of risk. If you would invest  4,093,693  in Dow Jones Industrial on September 3, 2024 and sell it today you would earn a total of  397,372  from holding Dow Jones Industrial or generate 9.71% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	98.44%
Values	Daily Returns

Dow Jones Industrial  vs.  TAS Offshore Bhd

Pair Trading with Dow Jones and TAS Offshore

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

The idea behind Dow Jones Industrial and TAS Offshore Bhd 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.