Correlation Between Dream Finders and Big Tree
Can any of the company-specific risk be diversified away by investing in both Dream Finders and Big Tree 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 Dream Finders and Big Tree into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dream Finders Homes and Big Tree Cloud, you can compare the effects of market volatilities on Dream Finders and Big Tree 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 Dream Finders with a short position of Big Tree. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dream Finders and Big Tree.
Diversification Opportunities for Dream Finders and Big Tree
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dream and Big is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Dream Finders Homes and Big Tree Cloud in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Big Tree Cloud and Dream Finders 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 Dream Finders Homes are associated (or correlated) with Big Tree. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Big Tree Cloud has no effect on the direction of Dream Finders i.e., Dream Finders and Big Tree go up and down completely randomly.
Pair Corralation between Dream Finders and Big Tree
Considering the 90-day investment horizon Dream Finders Homes is expected to under-perform the Big Tree. But the stock apears to be less risky and, when comparing its historical volatility, Dream Finders Homes is 5.0 times less risky than Big Tree. The stock trades about -0.08 of its potential returns per unit of risk. The Big Tree Cloud is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 509.00 in Big Tree Cloud on September 16, 2024 and sell it today you would lose (151.00) from holding Big Tree Cloud or give up 29.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dream Finders Homes vs. Big Tree Cloud
Performance |
Timeline |
Dream Finders Homes |
Big Tree Cloud |
Dream Finders and Big Tree Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dream Finders and Big Tree
The main advantage of trading using opposite Dream Finders and Big Tree positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dream Finders position performs unexpectedly, Big Tree 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 Big Tree will offset losses from the drop in Big Tree's long position.Dream Finders vs. Arhaus Inc | Dream Finders vs. Floor Decor Holdings | Dream Finders vs. Kingfisher plc | Dream Finders vs. Haverty Furniture Companies |
Big Tree vs. MYR Group | Big Tree vs. SunLink Health Systems | Big Tree vs. Emerson Electric | Big Tree vs. Dream Finders Homes |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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