Correlation Between Honda and Nio

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

Diversification Opportunities for Honda and Nio

-0.64
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Honda and Nio is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Honda Motor Co and Nio Class A in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nio Class A and Honda 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 Honda Motor Co are associated (or correlated) with Nio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nio Class A has no effect on the direction of Honda i.e., Honda and Nio go up and down completely randomly.

Pair Corralation between Honda and Nio

Considering the 90-day investment horizon Honda Motor Co is expected to generate 0.27 times more return on investment than Nio. However, Honda Motor Co is 3.69 times less risky than Nio. It trades about -0.42 of its potential returns per unit of risk. Nio Class A is currently generating about -0.39 per unit of risk. If you would invest  3,708  in Honda Motor Co on January 20, 2024 and sell it today you would lose (294.00) from holding Honda Motor Co or give up 7.93% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Honda Motor Co  vs.  Nio Class A

 Performance 
       Timeline  
Honda Motor 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Honda Motor Co are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound primary indicators, Honda is not utilizing all of its potentials. The recent stock price tumult, may contribute to shorter-term losses for the shareholders.
Nio Class A 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Nio Class A has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of inconsistent performance in the last few months, the Stock's forward indicators remain very healthy which may send shares a bit higher in May 2024. The recent disarray may also be a sign of long period up-swing for the firm investors.

Honda and Nio Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Honda and Nio

The main advantage of trading using opposite Honda and Nio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Honda position performs unexpectedly, Nio 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 Nio will offset losses from the drop in Nio's long position.
The idea behind Honda Motor Co and Nio Class A 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

Other Complementary Tools

Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Portfolio Diagnostics
Use generated alerts and portfolio events aggregator to diagnose current holdings
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
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