Correlation Between Twitter and DOW

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

Specify exactly 2 symbols:

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

Diversification Opportunities for Twitter and DOW

0.49
  Correlation Coefficient
Twitter
DOW

Very weak diversification

The 3 months correlation between Twitter and DOW is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Twitter and DOW in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on DOW and Twitter 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 Twitter are associated (or correlated) with DOW. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DOW has no effect on the direction of Twitter i.e., Twitter and DOW go up and down completely randomly.
    Optimize

Pair Corralation between Twitter and DOW

Given the investment horizon of 90 days Twitter is expected to generate 1.85 times more return on investment than DOW. However, Twitter is 1.85 times more volatile than DOW. It trades about 0.07 of its potential returns per unit of risk. DOW is currently generating about 0.03 per unit of risk. If you would invest  3,596  in Twitter on May 3, 2021 and sell it today you would earn a total of  3,379  from holding Twitter or generate 93.97% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy99.47%
ValuesDaily Returns

Twitter  vs.  DOW

 Performance (%) 
      Timeline 

Twitter and DOW Volatility Contrast

 Predicted Return Density 
      Returns 

DOW

Pair trading matchups for DOW

Red Violet vs. DOW
Northeast Bank vs. DOW
Misonix vs. DOW
Moderna vs. DOW
Icici Bank vs. DOW
Middlesex Water vs. DOW
Arcelormittal ADR vs. DOW
Ternium SA vs. DOW
The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against DOW as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. DOW's systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, DOW's unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to DOW.

Pair Trading with Twitter and DOW

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

DOW

Pair trading matchups for DOW

Arcelormittal ADR vs. DOW
Red Violet vs. DOW
Misonix vs. DOW
Enterprise Bancorp vs. DOW
Professional Holding vs. DOW
Middlesex Water vs. DOW
Icici Bank vs. DOW
Moderna vs. DOW
Ternium SA vs. DOW
Waters Corp vs. DOW
The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against DOW as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. DOW's systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, DOW's unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to DOW.
Check out your portfolio center. 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 Money Managers module to screen money managers from public funds and ETFs managed around the world.

Other Complementary Tools

Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Go
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Go
Analyst Recommendations
Analyst recommendations and target price estimates broken down by several categories
Go
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Go
Equity Search
Search for activelly traded equities including funds and ETFs from over 30 global markets
Go
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Go
Piotroski F Score
Get Piotroski F Score based on binary analysis strategy of nine different fundamentals
Go
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Go
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
Go
Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes
Go