Correlation Between NYSE Composite and Kngt Clb

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

Diversification Opportunities for NYSE Composite and Kngt Clb

0.34
  Correlation Coefficient

Weak diversification

The 3 months correlation between NYSE and Kngt is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Kngt Clb Eqy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kngt Clb Eqy and NYSE Composite 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 NYSE Composite are associated (or correlated) with Kngt Clb. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kngt Clb Eqy has no effect on the direction of NYSE Composite i.e., NYSE Composite and Kngt Clb go up and down completely randomly.
    Optimize

Pair Corralation between NYSE Composite and Kngt Clb

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Kngt Clb. In addition to that, NYSE Composite is 1.16 times more volatile than Kngt Clb Eqy. It trades about -0.26 of its total potential returns per unit of risk. Kngt Clb Eqy is currently generating about -0.28 per unit of volatility. If you would invest  1,287  in Kngt Clb Eqy on October 10, 2024 and sell it today you would lose (48.00) from holding Kngt Clb Eqy or give up 3.73% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

NYSE Composite  vs.  Kngt Clb Eqy

 Performance 
       Timeline  

NYSE Composite and Kngt Clb Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Kngt Clb

The main advantage of trading using opposite NYSE Composite and Kngt Clb positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Kngt Clb 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 Kngt Clb will offset losses from the drop in Kngt Clb's long position.
The idea behind NYSE Composite and Kngt Clb Eqy 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

Other Complementary Tools

Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Analyst Advice
Analyst recommendations and target price estimates broken down by several categories
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine