Correlation Between Kaltura and AUTOMATIC

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

Diversification Opportunities for Kaltura and AUTOMATIC

-0.63
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Kaltura and AUTOMATIC is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Kaltura and AUTOMATIC DATA PROCESSING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AUTOMATIC DATA PROCESSING and Kaltura 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 Kaltura are associated (or correlated) with AUTOMATIC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AUTOMATIC DATA PROCESSING has no effect on the direction of Kaltura i.e., Kaltura and AUTOMATIC go up and down completely randomly.

Pair Corralation between Kaltura and AUTOMATIC

Given the investment horizon of 90 days Kaltura is expected to generate 1.9 times more return on investment than AUTOMATIC. However, Kaltura is 1.9 times more volatile than AUTOMATIC DATA PROCESSING. It trades about 0.19 of its potential returns per unit of risk. AUTOMATIC DATA PROCESSING is currently generating about -0.12 per unit of risk. If you would invest  208.00  in Kaltura on September 12, 2024 and sell it today you would earn a total of  27.00  from holding Kaltura or generate 12.98% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy95.45%
ValuesDaily Returns

Kaltura  vs.  AUTOMATIC DATA PROCESSING

 Performance 
       Timeline  
Kaltura 

Risk-Adjusted Performance

20 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Kaltura are ranked lower than 20 (%) of all global equities and portfolios over the last 90 days. Even with relatively unsteady basic indicators, Kaltura reported solid returns over the last few months and may actually be approaching a breakup point.
AUTOMATIC DATA PROCESSING 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days AUTOMATIC DATA PROCESSING has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest abnormal performance, the Bond's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for AUTOMATIC DATA PROCESSING investors.

Kaltura and AUTOMATIC Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Kaltura and AUTOMATIC

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

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