Correlation Between Highland Long/short and Voya Us
Can any of the company-specific risk be diversified away by investing in both Highland Long/short and Voya Us 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 Highland Long/short and Voya Us into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Highland Longshort Healthcare and Voya Stock Index, you can compare the effects of market volatilities on Highland Long/short and Voya Us 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 Highland Long/short with a short position of Voya Us. Check out your portfolio center. Please also check ongoing floating volatility patterns of Highland Long/short and Voya Us.
Diversification Opportunities for Highland Long/short and Voya Us
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Highland and Voya is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Highland Longshort Healthcare and Voya Stock Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Voya Stock Index and Highland Long/short 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 Highland Longshort Healthcare are associated (or correlated) with Voya Us. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Voya Stock Index has no effect on the direction of Highland Long/short i.e., Highland Long/short and Voya Us go up and down completely randomly.
Pair Corralation between Highland Long/short and Voya Us
Assuming the 90 days horizon Highland Longshort Healthcare is expected to generate 0.19 times more return on investment than Voya Us. However, Highland Longshort Healthcare is 5.36 times less risky than Voya Us. It trades about -0.2 of its potential returns per unit of risk. Voya Stock Index is currently generating about -0.12 per unit of risk. If you would invest 1,658 in Highland Longshort Healthcare on October 8, 2024 and sell it today you would lose (13.00) from holding Highland Longshort Healthcare or give up 0.78% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Highland Longshort Healthcare vs. Voya Stock Index
Performance |
Timeline |
Highland Long/short |
Voya Stock Index |
Highland Long/short and Voya Us Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Highland Long/short and Voya Us
The main advantage of trading using opposite Highland Long/short and Voya Us positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Highland Long/short position performs unexpectedly, Voya Us 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 Voya Us will offset losses from the drop in Voya Us' long position.Highland Long/short vs. Columbia Real Estate | Highland Long/short vs. Forum Real Estate | Highland Long/short vs. Dunham Real Estate | Highland Long/short vs. Rems Real Estate |
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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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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