Correlation Between Laurentian Bank and Data Communications

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

Diversification Opportunities for Laurentian Bank and Data Communications

0.37
  Correlation Coefficient

Weak diversification

The 3 months correlation between Laurentian and Data is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Laurentian Bank and Data Communications Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data Communications and Laurentian Bank 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 Laurentian Bank are associated (or correlated) with Data Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data Communications has no effect on the direction of Laurentian Bank i.e., Laurentian Bank and Data Communications go up and down completely randomly.

Pair Corralation between Laurentian Bank and Data Communications

Assuming the 90 days horizon Laurentian Bank is expected to generate 0.3 times more return on investment than Data Communications. However, Laurentian Bank is 3.36 times less risky than Data Communications. It trades about -0.07 of its potential returns per unit of risk. Data Communications Management is currently generating about -0.05 per unit of risk. If you would invest  2,840  in Laurentian Bank on December 24, 2024 and sell it today you would lose (127.00) from holding Laurentian Bank or give up 4.47% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy98.39%
ValuesDaily Returns

Laurentian Bank  vs.  Data Communications Management

 Performance 
       Timeline  
Laurentian Bank 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Laurentian Bank has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy basic indicators, Laurentian Bank is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.
Data Communications 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Data Communications Management has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unfluctuating performance, the Stock's primary indicators remain healthy and the recent disarray on Wall Street may also be a sign of long period gains for the firm investors.

Laurentian Bank and Data Communications Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Laurentian Bank and Data Communications

The main advantage of trading using opposite Laurentian Bank and Data Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Laurentian Bank position performs unexpectedly, Data Communications 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 Data Communications will offset losses from the drop in Data Communications' long position.
The idea behind Laurentian Bank and Data Communications Management 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.
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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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.

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