Correlation Between CITY OFFICE and Snowflake

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

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

Diversification Opportunities for CITY OFFICE and Snowflake

0.68

Correlation Coefficient

CITY OFFICE  Snowflake

Poor diversification

The 3 months correlation between CITY and Snowflake is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding CITY OFFICE REIT and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake and CITY OFFICE 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 CITY OFFICE REIT are associated (or correlated) with Snowflake. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Snowflake has no effect on the direction of CITY OFFICE i.e., CITY OFFICE and Snowflake go up and down completely randomly.

Pair Corralation between CITY OFFICE and Snowflake

Assuming the 90 days horizon CITY OFFICE REIT is expected to under-perform the Snowflake. In addition to that, CITY OFFICE is 1.59 times more volatile than Snowflake. It trades about -0.02 of its total potential returns per unit of risk. Snowflake is currently generating about 0.52 per unit of volatility. If you would invest  15,224  in Snowflake on October 25, 2024 and sell it today you would earn a total of  1,774  from holding Snowflake or generate 11.65% return on investment over 90 days.

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

CITY OFFICE REIT  vs.  Snowflake

CITY OFFICE REIT

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in CITY OFFICE REIT are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, CITY OFFICE may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Snowflake

Risk-Adjusted Performance

14 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Snowflake are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. Despite nearly uncertain basic indicators, Snowflake reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with CITY OFFICE and Snowflake

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

The idea behind CITY OFFICE REIT and Snowflake 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 Bonds Directory module to find actively traded corporate debentures issued by US companies.