Correlation Between Columbus McKinnon and Deere

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

Diversification Opportunities for Columbus McKinnon and Deere

0.05
  Correlation Coefficient

Significant diversification

The 3 months correlation between Columbus and Deere is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Columbus McKinnon and Deere Company in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Deere Company and Columbus McKinnon 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 Columbus McKinnon are associated (or correlated) with Deere. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deere Company has no effect on the direction of Columbus McKinnon i.e., Columbus McKinnon and Deere go up and down completely randomly.

Pair Corralation between Columbus McKinnon and Deere

Given the investment horizon of 90 days Columbus McKinnon is expected to generate 1.23 times more return on investment than Deere. However, Columbus McKinnon is 1.23 times more volatile than Deere Company. It trades about 0.07 of its potential returns per unit of risk. Deere Company is currently generating about 0.04 per unit of risk. If you would invest  2,535  in Columbus McKinnon on January 19, 2024 and sell it today you would earn a total of  1,532  from holding Columbus McKinnon or generate 60.43% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Columbus McKinnon  vs.  Deere Company

 Performance 
       Timeline  
Columbus McKinnon 

Risk-Adjusted Performance

8 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Columbus McKinnon are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating fundamental indicators, Columbus McKinnon may actually be approaching a critical reversion point that can send shares even higher in May 2024.
Deere Company 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Deere Company are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound technical and fundamental indicators, Deere is not utilizing all of its potentials. The recent stock price tumult, may contribute to shorter-term losses for the shareholders.

Columbus McKinnon and Deere Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Columbus McKinnon and Deere

The main advantage of trading using opposite Columbus McKinnon and Deere positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbus McKinnon position performs unexpectedly, Deere 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 Deere will offset losses from the drop in Deere's long position.
The idea behind Columbus McKinnon and Deere 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.

Other Complementary Tools

Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Share Portfolio
Track or share privately all of your investments from the convenience of any device
Transaction History
View history of all your transactions and understand their impact on performance
Fundamental Analysis
View fundamental data based on most recent published financial statements
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments