Correlation Between Financial Industries and Multifactor

Can any of the company-specific risk be diversified away by investing in both Financial Industries and Multifactor 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 Financial Industries and Multifactor into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Financial Industries Fund and Multifactor Equity Fund, you can compare the effects of market volatilities on Financial Industries and Multifactor 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 Financial Industries with a short position of Multifactor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and Multifactor.

Diversification Opportunities for Financial Industries and Multifactor

0.76

Correlation Coefficient

Financial Industries  Multifactor

Poor diversification

The 3 months correlation between Financial and Multifactor is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund and Multifactor Equity Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multifactor Equity and Financial Industries 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 Financial Industries Fund are associated (or correlated) with Multifactor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multifactor Equity has no effect on the direction of Financial Industries i.e., Financial Industries and Multifactor go up and down completely randomly.

Pair Corralation between Financial Industries and Multifactor

Assuming the 90 days horizon Financial Industries is expected to generate 4.19 times less return on investment than Multifactor. In addition to that, Financial Industries is 1.27 times more volatile than Multifactor Equity Fund. It trades about 0.04 of its total potential returns per unit of risk. Multifactor Equity Fund is currently generating about 0.2 per unit of volatility. If you would invest  1,523  in Multifactor Equity Fund on May 15, 2025 and sell it today you would earn a total of  129.00  from holding Multifactor Equity Fund or generate 8.47% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Financial Industries Fund  vs.  Multifactor Equity Fund

Financial Industries

Risk-Adjusted Performance

Weakest

Compared to the overall equity markets, risk-adjusted returns on investments in Financial Industries Fund are ranked lower than 2 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Financial Industries is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Multifactor Equity

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Multifactor Equity Fund are ranked lower than 15 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak basic indicators, Multifactor may actually be approaching a critical reversion point that can send shares even higher in September 2025.

Pair Trading with Financial Industries and Multifactor

The main advantage of trading using opposite Financial Industries and Multifactor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries position performs unexpectedly, Multifactor 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 Multifactor will offset losses from the drop in Multifactor's long position.

The idea behind Financial Industries Fund and Multifactor Equity Fund 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.

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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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.