Myers Industries Stock Market Value
| MYE Stock | USD 21.19 0.22 1.05% |
| Symbol | Myers |
Myers Industries Price To Book Ratio
Is Myers Industries' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Myers Industries. If investors know Myers will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Myers Industries listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.06) | Dividend Share 0.54 | Earnings Share 1.32 | Revenue Per Share 22.128 | Quarterly Revenue Growth (0.10) |
The market value of Myers Industries is measured differently than its book value, which is the value of Myers that is recorded on the company's balance sheet. Investors also form their own opinion of Myers Industries' value that differs from its market value or its book value, called intrinsic value, which is Myers Industries' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Myers Industries' market value can be influenced by many factors that don't directly affect Myers Industries' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Myers Industries' value and its price as these two are different measures arrived at by different means. Investors typically determine if Myers Industries is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Myers Industries' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Myers Industries 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Myers Industries' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Myers Industries.
| 06/28/2022 |
| 04/18/2024 |
If you would invest 0.00 in Myers Industries on June 28, 2022 and sell it all today you would earn a total of 0.00 from holding Myers Industries or generate 0.0% return on investment in Myers Industries over 660 days. Myers Industries is related to or competes with Greif Bros, Reynolds Consumer, Silgan Holdings, O I, Sealed Air, Graphic Packaging, and Ball. Myers Industries, Inc. engages in distribution of tire service supplies in Ohio More
Myers Industries Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Myers Industries' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Myers Industries upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.52 | |||
| Information Ratio | 0.0847 | |||
| Maximum Drawdown | 9.12 | |||
| Value At Risk | (2.39) | |||
| Potential Upside | 2.92 |
Myers Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Myers Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Myers Industries' standard deviation. In reality, there are many statistical measures that can use Myers Industries historical prices to predict the future Myers Industries' volatility.| Risk Adjusted Performance | 0.0794 | |||
| Jensen Alpha | 0.1466 | |||
| Total Risk Alpha | 0.068 | |||
| Sortino Ratio | 0.0998 | |||
| Treynor Ratio | 0.1768 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Myers Industries' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Myers Industries Backtested Returns
Myers Industries appears to be very steady, given 3 months investment horizon. Myers Industries has Sharpe Ratio of 0.12, which conveys that the firm had a 0.12% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Myers Industries, which you can use to evaluate the volatility of the firm. Please exercise Myers Industries' Risk Adjusted Performance of 0.0794, downside deviation of 1.52, and Mean Deviation of 1.22 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Myers Industries holds a performance score of 9. The company secures a Beta (Market Risk) of 1.12, which conveys a somewhat significant risk relative to the market. Myers Industries returns are very sensitive to returns on the market. As the market goes up or down, Myers Industries is expected to follow. Please check Myers Industries' potential upside, and the relationship between the total risk alpha and kurtosis , to make a quick decision on whether Myers Industries' current price movements will revert.
Auto-correlation | -0.18 |
Insignificant reverse predictability
Myers Industries has insignificant reverse predictability. Overlapping area represents the amount of predictability between Myers Industries time series from 28th of June 2022 to 24th of May 2023 and 24th of May 2023 to 18th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Myers Industries price movement. The serial correlation of -0.18 indicates that over 18.0% of current Myers Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 2.31 |
Myers Industries lagged returns against current returns
Autocorrelation, which is Myers Industries stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Myers Industries' stock expected returns. We can calculate the autocorrelation of Myers Industries returns to help us make a trade decision. For example, suppose you find that Myers Industries has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Myers Industries regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Myers Industries stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Myers Industries stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Myers Industries stock over time.
Current vs Lagged Prices |
| Timeline |
Myers Industries Lagged Returns
When evaluating Myers Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Myers Industries stock have on its future price. Myers Industries autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Myers Industries autocorrelation shows the relationship between Myers Industries stock current value and its past values and can show if there is a momentum factor associated with investing in Myers Industries.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Myers Industries in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Myers Industries' short interest history, or implied volatility extrapolated from Myers Industries options trading.
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Complementary Tools for Myers Stock analysis
When running Myers Industries' price analysis, check to measure Myers Industries' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Myers Industries is operating at the current time. Most of Myers Industries' value examination focuses on studying past and present price action to predict the probability of Myers Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Myers Industries' price. Additionally, you may evaluate how the addition of Myers Industries to your portfolios can decrease your overall portfolio volatility.
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Myers Industries technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.