Correlation Between Qs Us and Financial Services

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

Diversification Opportunities for Qs Us and Financial Services

0.65
  Correlation Coefficient

Poor diversification

The 3 months correlation between LMUSX and Financial is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Qs Large Cap and Financial Services Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financial Services and Qs Us 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 Qs Large Cap are associated (or correlated) with Financial Services. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Financial Services has no effect on the direction of Qs Us i.e., Qs Us and Financial Services go up and down completely randomly.

Pair Corralation between Qs Us and Financial Services

Assuming the 90 days horizon Qs Large Cap is expected to under-perform the Financial Services. In addition to that, Qs Us is 1.01 times more volatile than Financial Services Portfolio. It trades about -0.11 of its total potential returns per unit of risk. Financial Services Portfolio is currently generating about 0.01 per unit of volatility. If you would invest  925.00  in Financial Services Portfolio on December 22, 2024 and sell it today you would earn a total of  1.00  from holding Financial Services Portfolio or generate 0.11% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy98.36%
ValuesDaily Returns

Qs Large Cap  vs.  Financial Services Portfolio

 Performance 
       Timeline  
Qs Large Cap 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Qs Large Cap has generated negative risk-adjusted returns adding no value to fund investors. In spite of latest weak performance, the Fund's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.
Financial Services 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Financial Services Portfolio has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong fundamental indicators, Financial Services is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Qs Us and Financial Services Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Qs Us and Financial Services

The main advantage of trading using opposite Qs Us and Financial Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qs Us position performs unexpectedly, Financial Services 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 Financial Services will offset losses from the drop in Financial Services' long position.
The idea behind Qs Large Cap and Financial Services Portfolio 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 Stocks Directory module to find actively traded stocks across global markets.

Other Complementary Tools

Transaction History
View history of all your transactions and understand their impact on performance
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
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
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities