Rogers Stock Market Value
| ROG Stock | USD 106.42 0.60 0.57% |
| Symbol | Rogers |
Rogers Price To Book Ratio
Is Rogers' 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 Rogers. If investors know Rogers 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 Rogers 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 (0.65) | Earnings Share 3.03 | Revenue Per Share 48.839 | Quarterly Revenue Growth (0.09) | Return On Assets 0.0205 |
The market value of Rogers is measured differently than its book value, which is the value of Rogers that is recorded on the company's balance sheet. Investors also form their own opinion of Rogers' value that differs from its market value or its book value, called intrinsic value, which is Rogers' 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 Rogers' market value can be influenced by many factors that don't directly affect Rogers' 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 Rogers' value and its price as these two are different measures arrived at by different means. Investors typically determine if Rogers is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Rogers' 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.
Rogers '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 Rogers' 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 Rogers.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Rogers on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Rogers or generate 0.0% return on investment in Rogers over 30 days. Rogers is related to or competes with Maximus, Network 1, First Advantage, BrightView Holdings, Civeo Corp, AZZ Incorporated, and Cass Information. Rogers Corporation designs, develops, manufactures, and sells engineered materials and components worldwide More
Rogers 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 Rogers' 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 Rogers upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 8.14 | |||
| Value At Risk | (3.45) | |||
| Potential Upside | 2.43 |
Rogers Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Rogers' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Rogers' standard deviation. In reality, there are many statistical measures that can use Rogers historical prices to predict the future Rogers' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | (0.06) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Rogers' 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.
Rogers Backtested Returns
Rogers maintains Sharpe Ratio (i.e., Efficiency) of -0.084, which implies the firm had a -0.084% return per unit of risk over the last 3 months. Rogers exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Rogers' Coefficient Of Variation of (2,285), risk adjusted performance of (0.02), and Variance of 3.06 to confirm the risk estimate we provide. The company holds a Beta of 1.39, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Rogers will likely underperform. Rogers has an expected return of -0.15%. Please make sure to check Rogers value at risk, as well as the relationship between the daily balance of power and price action indicator , to decide if Rogers performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.44 |
Average predictability
Rogers has average predictability. Overlapping area represents the amount of predictability between Rogers time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Rogers price movement. The serial correlation of 0.44 indicates that just about 44.0% of current Rogers price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.44 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 19.32 |
Rogers lagged returns against current returns
Autocorrelation, which is Rogers 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 Rogers' stock expected returns. We can calculate the autocorrelation of Rogers returns to help us make a trade decision. For example, suppose you find that Rogers 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 |
Rogers 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 Rogers stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Rogers stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Rogers stock over time.
Current vs Lagged Prices |
| Timeline |
Rogers Lagged Returns
When evaluating Rogers' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Rogers stock have on its future price. Rogers 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, Rogers autocorrelation shows the relationship between Rogers stock current value and its past values and can show if there is a momentum factor associated with investing in Rogers.
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 Rogers 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, Rogers' short interest history, or implied volatility extrapolated from Rogers options trading.
Currently Active Assets on Macroaxis
When determining whether Rogers is a strong investment it is important to analyze Rogers' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Rogers' future performance. For an informed investment choice regarding Rogers Stock, refer to the following important reports:Check out Rogers Correlation, Rogers Volatility and Rogers Alpha and Beta module to complement your research on Rogers. For more detail on how to invest in Rogers Stock please use our How to Invest in Rogers guide.You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
Complementary Tools for Rogers Stock analysis
When running Rogers' price analysis, check to measure Rogers' 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 Rogers is operating at the current time. Most of Rogers' value examination focuses on studying past and present price action to predict the probability of Rogers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Rogers' price. Additionally, you may evaluate how the addition of Rogers to your portfolios can decrease your overall portfolio volatility.
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Rogers 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.