Correlation Between SBI Insurance and Oracle

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

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

Diversification Opportunities for SBI Insurance and Oracle

-0.85

Correlation Coefficient

SBI Insurance  Oracle

Pay attention - limited upside

The 3 months correlation between SBI and Oracle is -0.85. Overlapping area represents the amount of risk that can be diversified away by holding SBI Insurance Group and Oracle in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oracle and SBI Insurance 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 SBI Insurance Group are associated (or correlated) with Oracle. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oracle has no effect on the direction of SBI Insurance i.e., SBI Insurance and Oracle go up and down completely randomly.

Pair Corralation between SBI Insurance and Oracle

Assuming the 90 days trading horizon SBI Insurance Group is expected to generate 0.36 times more return on investment than Oracle. However, SBI Insurance Group is 2.81 times less risky than Oracle. It trades about 0.12 of its potential returns per unit of risk. Oracle is currently generating about -0.01 per unit of risk. If you would invest  905.00  in SBI Insurance Group on September 5, 2025 and sell it today you would earn a total of  145.00  from holding SBI Insurance Group or generate 16.02% return on investment over 90 days.

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

SBI Insurance Group  vs.  Oracle

SBI Insurance Group

Risk-Adjusted Performance

Fair

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

Oracle

Risk-Adjusted Performance

Weakest

Over the last 90 days Oracle has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Oracle is not utilizing all of its potentials. The newest stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with SBI Insurance and Oracle

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

The idea behind SBI Insurance Group and Oracle 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.