Correlation Between Silicon Power and U Ming

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

Diversification Opportunities for Silicon Power and U Ming

0.31
  Correlation Coefficient

Weak diversification

The 3 months correlation between Silicon and 2606 is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Silicon Power Computer and U Ming Marine Transport in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on U Ming Marine and Silicon Power 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 Silicon Power Computer are associated (or correlated) with U Ming. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of U Ming Marine has no effect on the direction of Silicon Power i.e., Silicon Power and U Ming go up and down completely randomly.

Pair Corralation between Silicon Power and U Ming

Assuming the 90 days trading horizon Silicon Power is expected to generate 3.76 times less return on investment than U Ming. In addition to that, Silicon Power is 1.23 times more volatile than U Ming Marine Transport. It trades about 0.01 of its total potential returns per unit of risk. U Ming Marine Transport is currently generating about 0.03 per unit of volatility. If you would invest  5,300  in U Ming Marine Transport on September 12, 2024 and sell it today you would earn a total of  490.00  from holding U Ming Marine Transport or generate 9.25% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Silicon Power Computer  vs.  U Ming Marine Transport

 Performance 
       Timeline  
Silicon Power Computer 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Silicon Power Computer are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of fairly stable basic indicators, Silicon Power is not utilizing all of its potentials. The latest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.
U Ming Marine 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in U Ming Marine Transport are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of fairly abnormal basic indicators, U Ming showed solid returns over the last few months and may actually be approaching a breakup point.

Silicon Power and U Ming Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Silicon Power and U Ming

The main advantage of trading using opposite Silicon Power and U Ming positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Silicon Power position performs unexpectedly, U Ming 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 U Ming will offset losses from the drop in U Ming's long position.
The idea behind Silicon Power Computer and U Ming Marine Transport 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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.

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