Correlation Between Singapore Telecommunicatio and GREENX METALS

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Singapore Telecommunicatio and GREENX METALS 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 Singapore Telecommunicatio and GREENX METALS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Singapore Telecommunications Limited and GREENX METALS LTD, you can compare the effects of market volatilities on Singapore Telecommunicatio and GREENX METALS 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 Singapore Telecommunicatio with a short position of GREENX METALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Singapore Telecommunicatio and GREENX METALS.

Diversification Opportunities for Singapore Telecommunicatio and GREENX METALS

-0.24
  Correlation Coefficient

Very good diversification

The 3 months correlation between Singapore and GREENX is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Singapore Telecommunications L and GREENX METALS LTD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GREENX METALS LTD and Singapore Telecommunicatio 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 Singapore Telecommunications Limited are associated (or correlated) with GREENX METALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GREENX METALS LTD has no effect on the direction of Singapore Telecommunicatio i.e., Singapore Telecommunicatio and GREENX METALS go up and down completely randomly.

Pair Corralation between Singapore Telecommunicatio and GREENX METALS

Assuming the 90 days trading horizon Singapore Telecommunicatio is expected to generate 2.78 times less return on investment than GREENX METALS. But when comparing it to its historical volatility, Singapore Telecommunications Limited is 2.69 times less risky than GREENX METALS. It trades about 0.1 of its potential returns per unit of risk. GREENX METALS LTD is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest  37.00  in GREENX METALS LTD on September 27, 2024 and sell it today you would earn a total of  3.00  from holding GREENX METALS LTD or generate 8.11% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Singapore Telecommunications L  vs.  GREENX METALS LTD

 Performance 
       Timeline  
Singapore Telecommunicatio 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Singapore Telecommunications Limited are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. Despite nearly stable basic indicators, Singapore Telecommunicatio is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.
GREENX METALS LTD 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days GREENX METALS LTD has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable primary indicators, GREENX METALS is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Singapore Telecommunicatio and GREENX METALS Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Singapore Telecommunicatio and GREENX METALS

The main advantage of trading using opposite Singapore Telecommunicatio and GREENX METALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Singapore Telecommunicatio position performs unexpectedly, GREENX METALS 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 GREENX METALS will offset losses from the drop in GREENX METALS's long position.
The idea behind Singapore Telecommunications Limited and GREENX METALS LTD 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 Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.

Other Complementary Tools

Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum