Correlation Between Insurance Portfolio and Consumer Discretionary
Can any of the company-specific risk be diversified away by investing in both Insurance Portfolio and Consumer Discretionary 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 Insurance Portfolio and Consumer Discretionary into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Insurance Portfolio Insurance and Consumer Discretionary Portfolio, you can compare the effects of market volatilities on Insurance Portfolio and Consumer Discretionary 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 Insurance Portfolio with a short position of Consumer Discretionary. Check out your portfolio center. Please also check ongoing floating volatility patterns of Insurance Portfolio and Consumer Discretionary.
Diversification Opportunities for Insurance Portfolio and Consumer Discretionary
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Insurance and Consumer is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Insurance Portfolio Insurance and Consumer Discretionary Portfol in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Consumer Discretionary and Insurance Portfolio 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 Insurance Portfolio Insurance are associated (or correlated) with Consumer Discretionary. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Consumer Discretionary has no effect on the direction of Insurance Portfolio i.e., Insurance Portfolio and Consumer Discretionary go up and down completely randomly.
Pair Corralation between Insurance Portfolio and Consumer Discretionary
Assuming the 90 days horizon Insurance Portfolio is expected to generate 1.62 times less return on investment than Consumer Discretionary. In addition to that, Insurance Portfolio is 1.03 times more volatile than Consumer Discretionary Portfolio. It trades about 0.15 of its total potential returns per unit of risk. Consumer Discretionary Portfolio is currently generating about 0.25 per unit of volatility. If you would invest 6,733 in Consumer Discretionary Portfolio on November 3, 2024 and sell it today you would earn a total of 354.00 from holding Consumer Discretionary Portfolio or generate 5.26% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Insurance Portfolio Insurance vs. Consumer Discretionary Portfol
Performance |
| Timeline |
| Insurance Portfolio |
| Consumer Discretionary |
Insurance Portfolio and Consumer Discretionary Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Insurance Portfolio and Consumer Discretionary
The main advantage of trading using opposite Insurance Portfolio and Consumer Discretionary positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Insurance Portfolio position performs unexpectedly, Consumer Discretionary 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 Consumer Discretionary will offset losses from the drop in Consumer Discretionary's long position.The idea behind Insurance Portfolio Insurance and Consumer Discretionary Portfolio pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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