Correlation Between MicroSectors FANG and Ocean Park
Can any of the company-specific risk be diversified away by investing in both MicroSectors FANG and Ocean Park 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 MicroSectors FANG and Ocean Park into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MicroSectors FANG Index and Ocean Park High, you can compare the effects of market volatilities on MicroSectors FANG and Ocean Park 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 MicroSectors FANG with a short position of Ocean Park. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroSectors FANG and Ocean Park.
Diversification Opportunities for MicroSectors FANG and Ocean Park
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between MicroSectors and Ocean is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and Ocean Park High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ocean Park High and MicroSectors FANG 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 MicroSectors FANG Index are associated (or correlated) with Ocean Park. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ocean Park High has no effect on the direction of MicroSectors FANG i.e., MicroSectors FANG and Ocean Park go up and down completely randomly.
Pair Corralation between MicroSectors FANG and Ocean Park
Given the investment horizon of 90 days MicroSectors FANG Index is expected to under-perform the Ocean Park. In addition to that, MicroSectors FANG is 16.48 times more volatile than Ocean Park High. It trades about -0.21 of its total potential returns per unit of risk. Ocean Park High is currently generating about 0.25 per unit of volatility. If you would invest 2,538 in Ocean Park High on September 2, 2024 and sell it today you would earn a total of 29.00 from holding Ocean Park High or generate 1.14% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
MicroSectors FANG Index vs. Ocean Park High
Performance |
| Timeline |
| MicroSectors FANG Index |
| Ocean Park High |
MicroSectors FANG and Ocean Park Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with MicroSectors FANG and Ocean Park
The main advantage of trading using opposite MicroSectors FANG and Ocean Park positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, Ocean Park 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 Ocean Park will offset losses from the drop in Ocean Park's long position.| MicroSectors FANG vs. MicroSectors FANG Index | MicroSectors FANG vs. Direxion Daily Semiconductor | MicroSectors FANG vs. Direxion Daily Technology | MicroSectors FANG vs. Direxion Daily SP |
| Ocean Park vs. Valued Advisers Trust | Ocean Park vs. Columbia Diversified Fixed | Ocean Park vs. Principal Exchange Traded Funds | Ocean Park vs. Doubleline Etf Trust |
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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
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