Correlation Between T Rowe and Banking Fund

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

By analyzing existing cross correlation between T Rowe Price and Banking Fund Class, you can compare the effects of market volatilities on T Rowe and Banking Fund 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 T Rowe with a short position of Banking Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of T Rowe and Banking Fund.

Diversification Opportunities for T Rowe and Banking Fund

0.76

Correlation Coefficient

T Rowe  Banking Fund

Poor diversification

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

Pair Corralation between T Rowe and Banking Fund

Assuming the 90 days horizon T Rowe Price is expected to generate 0.11 times more return on investment than Banking Fund. However, T Rowe Price is 9.36 times less risky than Banking Fund. It trades about -0.31 of its potential returns per unit of risk. Banking Fund Class is currently generating about -0.28 per unit of risk. If you would invest  597.00  in T Rowe Price on October 8, 2024 and sell it today you would lose (6.00) from holding T Rowe Price or give up 1.01% of portfolio value over 90 days.

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

T Rowe Price  vs.  Banking Fund Class

T Rowe Price

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days T Rowe Price has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong forward indicators, T Rowe is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Banking Fund Class

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Banking Fund Class are ranked lower than 4 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong forward-looking signals, Banking Fund is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with T Rowe and Banking Fund

The main advantage of trading using opposite T Rowe and Banking Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if T Rowe position performs unexpectedly, Banking Fund 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 Banking Fund will offset losses from the drop in Banking Fund's long position.

The idea behind T Rowe Price and Banking Fund Class 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.