Correlation Between Snap On and LS Starrett

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

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

Diversification Opportunities for Snap On and LS Starrett

0.36

Correlation Coefficient

Snap On  LS Starrett

Weak diversification

The 3 months correlation between Snap and SCX is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Snap On and LS Starrett in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LS Starrett and Snap On 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 Snap On are associated (or correlated) with LS Starrett. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LS Starrett has no effect on the direction of Snap On i.e., Snap On and LS Starrett go up and down completely randomly.

Pair Corralation between Snap On and LS Starrett

If you would invest  27,789  in Snap On on August 31, 2024 and sell it today you would earn a total of  9,134  from holding Snap On or generate 32.87% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	1.59%
Values	Daily Returns

Snap On  vs.  LS Starrett

Snap On

Risk-Adjusted Performance

21 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Snap On are ranked lower than 21 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unfluctuating basic indicators, Snap On sustained solid returns over the last few months and may actually be approaching a breakup point.

LS Starrett

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days LS Starrett has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly strong fundamental indicators, LS Starrett is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Snap On and LS Starrett

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

The idea behind Snap On and LS Starrett 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.