Correlation Between Indiva and Where Food

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

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

Diversification Opportunities for Indiva and Where Food

0.0

Correlation Coefficient

Indiva  Where Food

Pay attention - limited upside

The 3 months correlation between Indiva and Where is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Indiva and Where Food Comes in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Where Food Comes and Indiva 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 Indiva are associated (or correlated) with Where Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Where Food Comes has no effect on the direction of Indiva i.e., Indiva and Where Food go up and down completely randomly.

Pair Corralation between Indiva and Where Food

If you would invest  1,199  in Where Food Comes on October 11, 2024 and sell it today you would earn a total of  55.00  from holding Where Food Comes or generate 4.59% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	95.24%
Values	Daily Returns

Indiva  vs.  Where Food Comes

Indiva

Risk-Adjusted Performance

0 of 100

Very Weak

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

Where Food Comes

Risk-Adjusted Performance

6 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Where Food Comes are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. Despite nearly weak fundamental indicators, Where Food reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Indiva and Where Food

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

The idea behind Indiva and Where Food Comes 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.

Check out your portfolio center.

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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.