Correlation Between Intel and Ivy Balanced

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

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

Diversification Opportunities for Intel and Ivy Balanced

0.89

Correlation Coefficient

Intel  Ivy Balanced

Very poor diversification

The 3 months correlation between Intel and Ivy is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Intel and Ivy Balanced Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ivy Balanced and Intel 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 Intel are associated (or correlated) with Ivy Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ivy Balanced has no effect on the direction of Intel i.e., Intel and Ivy Balanced go up and down completely randomly.

Pair Corralation between Intel and Ivy Balanced

Given the investment horizon of 90 days Intel is expected to generate 5.61 times more return on investment than Ivy Balanced. However, Intel is 5.61 times more volatile than Ivy Balanced Fund. It trades about 0.12 of its potential returns per unit of risk. Ivy Balanced Fund is currently generating about 0.2 per unit of risk. If you would invest  2,010  in Intel on September 3, 2024 and sell it today you would earn a total of  395.00  from holding Intel or generate 19.65% return on investment over 90 days.

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

Intel  vs.  Ivy Balanced Fund

Intel

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Intel are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather weak basic indicators, Intel exhibited solid returns over the last few months and may actually be approaching a breakup point.

Ivy Balanced

Risk-Adjusted Performance

15 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Ivy Balanced Fund are ranked lower than 15 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Ivy Balanced is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Intel and Ivy Balanced

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

The idea behind Intel and Ivy Balanced 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.