Correlation Between M/I Homes and Datadog

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

Diversification Opportunities for M/I Homes and Datadog

0.35
  Correlation Coefficient

Weak diversification

The 3 months correlation between M/I and Datadog is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding MI Homes and Datadog in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datadog and M/I Homes 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 MI Homes are associated (or correlated) with Datadog. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Datadog has no effect on the direction of M/I Homes i.e., M/I Homes and Datadog go up and down completely randomly.

Pair Corralation between M/I Homes and Datadog

Assuming the 90 days horizon MI Homes is expected to under-perform the Datadog. But the stock apears to be less risky and, when comparing its historical volatility, MI Homes is 1.63 times less risky than Datadog. The stock trades about -0.02 of its potential returns per unit of risk. The Datadog is currently generating about 0.34 of returns per unit of risk over similar time horizon. If you would invest  11,560  in Datadog on September 13, 2024 and sell it today you would earn a total of  3,156  from holding Datadog or generate 27.3% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

MI Homes  vs.  Datadog

 Performance 
       Timeline  
M/I Homes 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in MI Homes are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, M/I Homes may actually be approaching a critical reversion point that can send shares even higher in January 2025.
Datadog 

Risk-Adjusted Performance

21 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Datadog are ranked lower than 21 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Datadog reported solid returns over the last few months and may actually be approaching a breakup point.

M/I Homes and Datadog Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with M/I Homes and Datadog

The main advantage of trading using opposite M/I Homes and Datadog positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if M/I Homes position performs unexpectedly, Datadog 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 Datadog will offset losses from the drop in Datadog's long position.
The idea behind MI Homes and Datadog 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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