Correlation Between Innodata and Acco Brands

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

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

Diversification Opportunities for Innodata and Acco Brands

0.77

Correlation Coefficient

Innodata  Acco Brands

Poor diversification

The 3 months correlation between Innodata and Acco is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Innodata and Acco Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Acco Brands and Innodata 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 Innodata are associated (or correlated) with Acco Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Acco Brands has no effect on the direction of Innodata i.e., Innodata and Acco Brands go up and down completely randomly.

Pair Corralation between Innodata and Acco Brands

Given the investment horizon of 90 days Innodata is expected to generate 4.85 times more return on investment than Acco Brands. However, Innodata is 4.85 times more volatile than Acco Brands. It trades about 0.16 of its potential returns per unit of risk. Acco Brands is currently generating about 0.06 per unit of risk. If you would invest  1,728  in Innodata on August 30, 2024 and sell it today you would earn a total of  2,105  from holding Innodata or generate 121.82% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	98.44%
Values	Daily Returns

Innodata  vs.  Acco Brands

Innodata

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Innodata are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of rather fragile basic indicators, Innodata exhibited solid returns over the last few months and may actually be approaching a breakup point.

Acco Brands

Risk-Adjusted Performance

4 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Acco Brands are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of very inconsistent fundamental indicators, Acco Brands may actually be approaching a critical reversion point that can send shares even higher in December 2024.

Pair Trading with Innodata and Acco Brands

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

The idea behind Innodata and Acco Brands 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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.