Correlation Between Ivy Science and Merck

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

Diversification Opportunities for Ivy Science and Merck

-0.17
  Correlation Coefficient

Good diversification

The 3 months correlation between Ivy and Merck is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Ivy Science And and Merck Company in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Merck Company and Ivy Science 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 Ivy Science And are associated (or correlated) with Merck. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Merck Company has no effect on the direction of Ivy Science i.e., Ivy Science and Merck go up and down completely randomly.

Pair Corralation between Ivy Science and Merck

Assuming the 90 days horizon Ivy Science And is expected to under-perform the Merck. In addition to that, Ivy Science is 1.83 times more volatile than Merck Company. It trades about -0.06 of its total potential returns per unit of risk. Merck Company is currently generating about 0.17 per unit of volatility. If you would invest  12,574  in Merck Company on February 12, 2024 and sell it today you would earn a total of  432.00  from holding Merck Company or generate 3.44% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Ivy Science And  vs.  Merck Company

 Performance 
       Timeline  
Ivy Science And 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Ivy Science And are ranked lower than 2 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong fundamental indicators, Ivy Science is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Merck Company 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Merck Company are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. Despite quite persistent basic indicators, Merck is not utilizing all of its potentials. The latest stock price mess, may contribute to short-term losses for the institutional investors.

Ivy Science and Merck Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ivy Science and Merck

The main advantage of trading using opposite Ivy Science and Merck positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ivy Science position performs unexpectedly, Merck 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 Merck will offset losses from the drop in Merck's long position.
The idea behind Ivy Science And and Merck Company 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

Other Complementary Tools

Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
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
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
Economic Indicators
Top statistical indicators that provide insights into how an economy is performing
Global Correlations
Find global opportunities by holding instruments from different markets
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Equity Valuation
Check real value of public entities based on technical and fundamental data