Correlation Between Consumer Discretionary and Financial Services
Can any of the company-specific risk be diversified away by investing in both Consumer Discretionary and Financial Services 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 Consumer Discretionary and Financial Services into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Consumer Discretionary Portfolio and Financial Services Portfolio, you can compare the effects of market volatilities on Consumer Discretionary and Financial Services 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 Consumer Discretionary with a short position of Financial Services. Check out your portfolio center. Please also check ongoing floating volatility patterns of Consumer Discretionary and Financial Services.
Diversification Opportunities for Consumer Discretionary and Financial Services
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Consumer and Financial is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Consumer Discretionary Portfol and Financial Services Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financial Services and Consumer Discretionary 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 Consumer Discretionary Portfolio are associated (or correlated) with Financial Services. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Financial Services has no effect on the direction of Consumer Discretionary i.e., Consumer Discretionary and Financial Services go up and down completely randomly.
Pair Corralation between Consumer Discretionary and Financial Services
Assuming the 90 days horizon Consumer Discretionary Portfolio is expected to under-perform the Financial Services. In addition to that, Consumer Discretionary is 1.24 times more volatile than Financial Services Portfolio. It trades about -0.16 of its total potential returns per unit of risk. Financial Services Portfolio is currently generating about -0.01 per unit of volatility. If you would invest 1,491 in Financial Services Portfolio on December 31, 2024 and sell it today you would lose (16.00) from holding Financial Services Portfolio or give up 1.07% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Consumer Discretionary Portfol vs. Financial Services Portfolio
Performance |
Timeline |
Consumer Discretionary |
Financial Services |
Consumer Discretionary and Financial Services Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Consumer Discretionary and Financial Services
The main advantage of trading using opposite Consumer Discretionary and Financial Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Consumer Discretionary position performs unexpectedly, Financial Services 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 Financial Services will offset losses from the drop in Financial Services' long position.The idea behind Consumer Discretionary Portfolio and Financial Services 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Other Complementary Tools
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. |