Correlation Between KMD and DigiByte

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

Diversification Opportunities for KMD and DigiByte

0.5
  Correlation Coefficient

Very weak diversification

The 1 month correlation between KMD and DigiByte is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding KMD and DigiByte in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DigiByte and KMD 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 KMD are associated (or correlated) with DigiByte. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DigiByte has no effect on the direction of KMD i.e., KMD and DigiByte go up and down completely randomly.

Pair Corralation between KMD and DigiByte

Assuming the 90 days trading horizon KMD is expected to generate 1.19 times more return on investment than DigiByte. However, KMD is 1.19 times more volatile than DigiByte. It trades about 0.11 of its potential returns per unit of risk. DigiByte is currently generating about 0.13 per unit of risk. If you would invest  22.00  in KMD on January 18, 2024 and sell it today you would earn a total of  18.00  from holding KMD or generate 81.82% return on investment over 90 days.
Time Period1 Month [change]
DirectionMoves Together 
StrengthWeak
Accuracy99.22%
ValuesDaily Returns

KMD  vs.  DigiByte

 Performance 
       Timeline  
KMD 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in KMD are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, KMD exhibited solid returns over the last few months and may actually be approaching a breakup point.
DigiByte 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in DigiByte are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental drivers, DigiByte exhibited solid returns over the last few months and may actually be approaching a breakup point.

KMD and DigiByte Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with KMD and DigiByte

The main advantage of trading using opposite KMD and DigiByte positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KMD position performs unexpectedly, DigiByte 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 DigiByte will offset losses from the drop in DigiByte's long position.
The idea behind KMD and DigiByte 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

Commodity Directory
Find actively traded commodities issued by global exchanges
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital
Bonds Directory
Find actively traded corporate debentures issued by US companies
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
Transaction History
View history of all your transactions and understand their impact on performance
Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets
Global Correlations
Find global opportunities by holding instruments from different markets
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum