Marine Products Stock Market Value
| MPX Stock | USD 10.95 0.12 1.08% |
| Symbol | Marine |
Marine Products Price To Book Ratio
Is Marine Products' 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 Marine Products. If investors know Marine 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 Marine Products 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 (0.55) | Dividend Share 0.56 | Earnings Share 1.21 | Revenue Per Share 11.141 | Quarterly Revenue Growth (0.35) |
The market value of Marine Products is measured differently than its book value, which is the value of Marine that is recorded on the company's balance sheet. Investors also form their own opinion of Marine Products' value that differs from its market value or its book value, called intrinsic value, which is Marine Products' 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 Marine Products' market value can be influenced by many factors that don't directly affect Marine Products' 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 Marine Products' value and its price as these two are different measures arrived at by different means. Investors typically determine if Marine Products is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Marine Products' 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.
Marine Products '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 Marine Products' 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 Marine Products.
| 03/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in Marine Products on March 17, 2024 and sell it all today you would earn a total of 0.00 from holding Marine Products or generate 0.0% return on investment in Marine Products over 30 days. Marine Products is related to or competes with LCI Industries, Winnebago Industries, Thor Industries, and EZGO Technologies. Marine Products Corporation designs, manufactures, and sells recreational fiberglass powerboats for the sportboat, sport... More
Marine Products 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 Marine Products' 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 Marine Products upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.14 | |||
| Information Ratio | 0.0028 | |||
| Maximum Drawdown | 22.62 | |||
| Value At Risk | (4.57) | |||
| Potential Upside | 4.2 |
Marine Products Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Marine Products' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Marine Products' standard deviation. In reality, there are many statistical measures that can use Marine Products historical prices to predict the future Marine Products' volatility.| Risk Adjusted Performance | 0.0222 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.20) | |||
| Sortino Ratio | 0.0029 | |||
| Treynor Ratio | 0.0283 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Marine Products' 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.
Marine Products Backtested Returns
We consider Marine Products somewhat reliable. Marine Products has Sharpe Ratio of 0.0322, which conveys that the firm had a 0.0322% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Marine Products, which you can use to evaluate the volatility of the firm. Please verify Marine Products' Risk Adjusted Performance of 0.0222, downside deviation of 3.14, and Mean Deviation of 2.12 to check out if the risk estimate we provide is consistent with the expected return of 0.1%. Marine Products has a performance score of 2 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 2.18, which conveys 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, Marine Products will likely underperform. Marine Products right now secures a risk of 3.24%. Please verify Marine Products potential upside, as well as the relationship between the accumulation distribution and price action indicator , to decide if Marine Products will be following its current price movements.
Auto-correlation | -0.32 |
Poor reverse predictability
Marine Products has poor reverse predictability. Overlapping area represents the amount of predictability between Marine Products time series from 17th of March 2024 to 1st of April 2024 and 1st of April 2024 to 16th 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 Marine Products price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Marine Products price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Marine Products lagged returns against current returns
Autocorrelation, which is Marine Products 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 Marine Products' stock expected returns. We can calculate the autocorrelation of Marine Products returns to help us make a trade decision. For example, suppose you find that Marine Products 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 |
Marine Products 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 Marine Products stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Marine Products stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Marine Products stock over time.
Current vs Lagged Prices |
| Timeline |
Marine Products Lagged Returns
When evaluating Marine Products' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Marine Products stock have on its future price. Marine Products 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, Marine Products autocorrelation shows the relationship between Marine Products stock current value and its past values and can show if there is a momentum factor associated with investing in Marine Products.
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 Marine Products 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, Marine Products' short interest history, or implied volatility extrapolated from Marine Products options trading.
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Complementary Tools for Marine Stock analysis
When running Marine Products' price analysis, check to measure Marine Products' 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 Marine Products is operating at the current time. Most of Marine Products' value examination focuses on studying past and present price action to predict the probability of Marine Products' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Marine Products' price. Additionally, you may evaluate how the addition of Marine Products to your portfolios can decrease your overall portfolio volatility.
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Marine Products 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.