Correlation Between Tandy Leather and Park Ohio
Can any of the company-specific risk be diversified away by investing in both Tandy Leather and Park Ohio 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 Tandy Leather and Park Ohio into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tandy Leather Factory and Park Ohio Holdings, you can compare the effects of market volatilities on Tandy Leather and Park Ohio 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 Tandy Leather with a short position of Park Ohio. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tandy Leather and Park Ohio.
Diversification Opportunities for Tandy Leather and Park Ohio
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Tandy and Park is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Tandy Leather Factory and Park Ohio Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Park Ohio Holdings and Tandy Leather 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 Tandy Leather Factory are associated (or correlated) with Park Ohio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Park Ohio Holdings has no effect on the direction of Tandy Leather i.e., Tandy Leather and Park Ohio go up and down completely randomly.
Pair Corralation between Tandy Leather and Park Ohio
Considering the 90-day investment horizon Tandy Leather Factory is expected to under-perform the Park Ohio. But the stock apears to be less risky and, when comparing its historical volatility, Tandy Leather Factory is 1.9 times less risky than Park Ohio. The stock trades about -0.08 of its potential returns per unit of risk. The Park Ohio Holdings is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 2,953 in Park Ohio Holdings on August 30, 2024 and sell it today you would earn a total of 314.00 from holding Park Ohio Holdings or generate 10.63% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.65% |
| Values | Daily Returns |
Tandy Leather Factory vs. Park Ohio Holdings
Performance |
| Timeline |
| Tandy Leather Factory |
| Park Ohio Holdings |
Tandy Leather and Park Ohio Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Tandy Leather and Park Ohio
The main advantage of trading using opposite Tandy Leather and Park Ohio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tandy Leather position performs unexpectedly, Park Ohio 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 Park Ohio will offset losses from the drop in Park Ohio's long position.| Tandy Leather vs. Green River Gold | Tandy Leather vs. Dixons Carphone plc | Tandy Leather vs. Ceconomy AG ADR | Tandy Leather vs. Winmark |
| Park Ohio vs. Hurco Companies | Park Ohio vs. Enerpac Tool Group | Park Ohio vs. China Yuchai International | Park Ohio vs. Luxfer Holdings PLC |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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