Correlation Between DISTRICT METALS and HF FOODS
Can any of the company-specific risk be diversified away by investing in both DISTRICT METALS and HF FOODS 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 DISTRICT METALS and HF FOODS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DISTRICT METALS and HF FOODS GRP, you can compare the effects of market volatilities on DISTRICT METALS and HF FOODS 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 DISTRICT METALS with a short position of HF FOODS. Check out your portfolio center. Please also check ongoing floating volatility patterns of DISTRICT METALS and HF FOODS.
Diversification Opportunities for DISTRICT METALS and HF FOODS
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between DISTRICT and 3GX is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding DISTRICT METALS and HF FOODS GRP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HF FOODS GRP and DISTRICT METALS 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 DISTRICT METALS are associated (or correlated) with HF FOODS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HF FOODS GRP has no effect on the direction of DISTRICT METALS i.e., DISTRICT METALS and HF FOODS go up and down completely randomly.
Pair Corralation between DISTRICT METALS and HF FOODS
Assuming the 90 days trading horizon DISTRICT METALS is expected to generate 2.3 times more return on investment than HF FOODS. However, DISTRICT METALS is 2.3 times more volatile than HF FOODS GRP. It trades about 0.07 of its potential returns per unit of risk. HF FOODS GRP is currently generating about 0.0 per unit of risk. If you would invest 9.12 in DISTRICT METALS on October 1, 2024 and sell it today you would earn a total of 17.88 from holding DISTRICT METALS or generate 196.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DISTRICT METALS vs. HF FOODS GRP
Performance |
Timeline |
DISTRICT METALS |
HF FOODS GRP |
DISTRICT METALS and HF FOODS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DISTRICT METALS and HF FOODS
The main advantage of trading using opposite DISTRICT METALS and HF FOODS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DISTRICT METALS position performs unexpectedly, HF FOODS 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 HF FOODS will offset losses from the drop in HF FOODS's long position.DISTRICT METALS vs. RELIANCE STEEL AL | DISTRICT METALS vs. CECO ENVIRONMENTAL | DISTRICT METALS vs. Charoen Pokphand Foods | DISTRICT METALS vs. Caltagirone SpA |
HF FOODS vs. Nok Airlines PCL | HF FOODS vs. United Airlines Holdings | HF FOODS vs. American Airlines Group | HF FOODS vs. Compagnie Plastic Omnium |
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.
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