Correlation Between Indian Oil and Data Patterns

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

By analyzing existing cross correlation between Indian Oil and Data Patterns Limited, you can compare the effects of market volatilities on Indian Oil and Data Patterns 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 Indian Oil with a short position of Data Patterns. Check out your portfolio center. Please also check ongoing floating volatility patterns of Indian Oil and Data Patterns.

Diversification Opportunities for Indian Oil and Data Patterns

0.37

Correlation Coefficient

Indian Oil  Data Patterns

Weak diversification

The 3 months correlation between Indian and Data is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Indian Oil and Data Patterns Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data Patterns Limited and Indian Oil 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 Indian Oil are associated (or correlated) with Data Patterns. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data Patterns Limited has no effect on the direction of Indian Oil i.e., Indian Oil and Data Patterns go up and down completely randomly.

Pair Corralation between Indian Oil and Data Patterns

Assuming the 90 days trading horizon Indian Oil is expected to generate 2.49 times less return on investment than Data Patterns. But when comparing it to its historical volatility, Indian Oil is 2.51 times less risky than Data Patterns. It trades about 0.15 of its potential returns per unit of risk. Data Patterns Limited is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest  208,660  in Data Patterns Limited on April 25, 2025 and sell it today you would earn a total of  69,120  from holding Data Patterns Limited or generate 33.13% return on investment over 90 days.

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

Indian Oil  vs.  Data Patterns Limited

Indian Oil

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Indian Oil are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of rather uncertain technical and fundamental indicators, Indian Oil exhibited solid returns over the last few months and may actually be approaching a breakup point.

Data Patterns Limited

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Data Patterns Limited are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unsteady basic indicators, Data Patterns unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Indian Oil and Data Patterns

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

The idea behind Indian Oil and Data Patterns Limited 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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.