Correlation Between Hf Foods and NESNVX

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

By analyzing existing cross correlation between Hf Foods Group and NESNVX 125 15 SEP 30, you can compare the effects of market volatilities on Hf Foods and NESNVX 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 Hf Foods with a short position of NESNVX. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hf Foods and NESNVX.

Diversification Opportunities for Hf Foods and NESNVX

0.3

Correlation Coefficient

Hf Foods  NESNVX

Weak diversification

The 3 months correlation between HFFG and NESNVX is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Hf Foods Group and NESNVX 125 15 SEP 30 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NESNVX 125 15 and Hf Foods 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 Hf Foods Group are associated (or correlated) with NESNVX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NESNVX 125 15 has no effect on the direction of Hf Foods i.e., Hf Foods and NESNVX go up and down completely randomly.

Pair Corralation between Hf Foods and NESNVX

Given the investment horizon of 90 days Hf Foods Group is expected to under-perform the NESNVX. In addition to that, Hf Foods is 2.47 times more volatile than NESNVX 125 15 SEP 30. It trades about -0.28 of its total potential returns per unit of risk. NESNVX 125 15 SEP 30 is currently generating about -0.48 per unit of volatility. If you would invest  8,347  in NESNVX 125 15 SEP 30 on October 6, 2024 and sell it today you would lose (321.00) from holding NESNVX 125 15 SEP 30 or give up 3.85% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	40.0%
Values	Daily Returns

Hf Foods Group  vs.  NESNVX 125 15 SEP 30

Hf Foods Group

Risk-Adjusted Performance

0 of 100

Very Weak

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

NESNVX 125 15

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days NESNVX 125 15 SEP 30 has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest uncertain performance, the Bond's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for NESNVX 125 15 SEP 30 investors.

Pair Trading with Hf Foods and NESNVX

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

The idea behind Hf Foods Group and NESNVX 125 15 SEP 30 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 Transaction History module to view history of all your transactions and understand their impact on performance.