Correlation Between GUDANG GARAM and Beazer Homes
Can any of the company-specific risk be diversified away by investing in both GUDANG GARAM and Beazer Homes 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 GUDANG GARAM and Beazer Homes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GUDANG GARAM and Beazer Homes USA, you can compare the effects of market volatilities on GUDANG GARAM and Beazer Homes 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 GUDANG GARAM with a short position of Beazer Homes. Check out your portfolio center. Please also check ongoing floating volatility patterns of GUDANG GARAM and Beazer Homes.
Diversification Opportunities for GUDANG GARAM and Beazer Homes
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between GUDANG and Beazer is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding GUDANG GARAM and Beazer Homes USA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beazer Homes USA and GUDANG GARAM 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 GUDANG GARAM are associated (or correlated) with Beazer Homes. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beazer Homes USA has no effect on the direction of GUDANG GARAM i.e., GUDANG GARAM and Beazer Homes go up and down completely randomly.
Pair Corralation between GUDANG GARAM and Beazer Homes
Assuming the 90 days trading horizon GUDANG GARAM is expected to under-perform the Beazer Homes. But the stock apears to be less risky and, when comparing its historical volatility, GUDANG GARAM is 1.25 times less risky than Beazer Homes. The stock trades about -0.18 of its potential returns per unit of risk. The Beazer Homes USA is currently generating about -0.12 of returns per unit of risk over similar time horizon. If you would invest 2,620 in Beazer Homes USA on December 30, 2024 and sell it today you would lose (660.00) from holding Beazer Homes USA or give up 25.19% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
GUDANG GARAM vs. Beazer Homes USA
Performance |
Timeline |
GUDANG GARAM |
Beazer Homes USA |
GUDANG GARAM and Beazer Homes Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GUDANG GARAM and Beazer Homes
The main advantage of trading using opposite GUDANG GARAM and Beazer Homes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GUDANG GARAM position performs unexpectedly, Beazer Homes 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 Beazer Homes will offset losses from the drop in Beazer Homes' long position.GUDANG GARAM vs. AXWAY SOFTWARE EO | GUDANG GARAM vs. MAGIC SOFTWARE ENTR | GUDANG GARAM vs. AIR PRODCHEMICALS | GUDANG GARAM vs. CyberArk Software |
Beazer Homes vs. Molina Healthcare | Beazer Homes vs. Treasury Wine Estates | Beazer Homes vs. United Rentals | Beazer Homes vs. EPSILON HEALTHCARE LTD |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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