Correlation Between JS Global and Loads

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Can any of the company-specific risk be diversified away by investing in both JS Global and Loads 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 JS Global and Loads into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JS Global Banking and Loads, you can compare the effects of market volatilities on JS Global and Loads 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 JS Global with a short position of Loads. Check out your portfolio center. Please also check ongoing floating volatility patterns of JS Global and Loads.

Diversification Opportunities for JS Global and Loads

0.71
  Correlation Coefficient

Poor diversification

The 3 months correlation between JSGBETF and Loads is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding JS Global Banking and Loads in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loads and JS Global 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 JS Global Banking are associated (or correlated) with Loads. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loads has no effect on the direction of JS Global i.e., JS Global and Loads go up and down completely randomly.

Pair Corralation between JS Global and Loads

Assuming the 90 days trading horizon JS Global Banking is expected to generate 0.8 times more return on investment than Loads. However, JS Global Banking is 1.26 times less risky than Loads. It trades about 0.12 of its potential returns per unit of risk. Loads is currently generating about 0.06 per unit of risk. If you would invest  1,009  in JS Global Banking on September 12, 2024 and sell it today you would earn a total of  980.00  from holding JS Global Banking or generate 97.13% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy48.76%
ValuesDaily Returns

JS Global Banking  vs.  Loads

 Performance 
       Timeline  
JS Global Banking 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in JS Global Banking are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite nearly weak technical and fundamental indicators, JS Global reported solid returns over the last few months and may actually be approaching a breakup point.
Loads 

Risk-Adjusted Performance

15 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Loads are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. Despite quite weak basic indicators, Loads disclosed solid returns over the last few months and may actually be approaching a breakup point.

JS Global and Loads Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with JS Global and Loads

The main advantage of trading using opposite JS Global and Loads positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JS Global position performs unexpectedly, Loads 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 Loads will offset losses from the drop in Loads' long position.
The idea behind JS Global Banking and Loads 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.
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 the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

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