Forward Industries Stock Market Value
| FORD Stock | USD 0.52 0.02 3.70% |
| Symbol | Forward |
Forward Industries Price To Book Ratio
Is Forward 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 Forward Industries. If investors know Forward 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 Forward 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 (0.85) | Earnings Share (0.01) | Revenue Per Share 3.388 | Quarterly Revenue Growth (0.27) | Return On Assets (0) |
The market value of Forward Industries is measured differently than its book value, which is the value of Forward that is recorded on the company's balance sheet. Investors also form their own opinion of Forward Industries' value that differs from its market value or its book value, called intrinsic value, which is Forward 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 Forward Industries' market value can be influenced by many factors that don't directly affect Forward 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 Forward Industries' value and its price as these two are different measures arrived at by different means. Investors typically determine if Forward Industries is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Forward 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.
Forward 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 Forward 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 Forward Industries.
| 05/12/2022 |
| 05/01/2024 |
If you would invest 0.00 in Forward Industries on May 12, 2022 and sell it all today you would earn a total of 0.00 from holding Forward Industries or generate 0.0% return on investment in Forward Industries over 720 days. Forward Industries is related to or competes with Designer Brands, Nike, Wolverine World, On Holding, American Rebel, and Birkenstock Holding. Forward Industries, Inc., together with its subsidiaries, designs, markets, and distributes carry and protective solutio... More
Forward 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 Forward 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 Forward Industries upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 35.67 | |||
| Value At Risk | (6.56) | |||
| Potential Upside | 6.35 |
Forward Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Forward Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Forward Industries' standard deviation. In reality, there are many statistical measures that can use Forward Industries historical prices to predict the future Forward Industries' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.71) | |||
| Treynor Ratio | 6.39 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Forward 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.
Forward Industries Backtested Returns
Forward Industries secures Sharpe Ratio (or Efficiency) of -0.0404, which denotes the company had a -0.0404% return per unit of risk over the last 3 months. Forward Industries exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Forward Industries' Standard Deviation of 6.02, mean deviation of 3.67, and Variance of 36.28 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.038, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Forward Industries are expected to decrease at a much lower rate. During the bear market, Forward Industries is likely to outperform the market. Forward Industries has an expected return of -0.25%. Please make sure to confirm Forward Industries skewness, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Forward Industries performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.81 |
Very good predictability
Forward Industries has very good predictability. Overlapping area represents the amount of predictability between Forward Industries time series from 12th of May 2022 to 7th of May 2023 and 7th of May 2023 to 1st of May 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 Forward Industries price movement. The serial correlation of 0.81 indicates that around 81.0% of current Forward Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Forward Industries lagged returns against current returns
Autocorrelation, which is Forward 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 Forward Industries' stock expected returns. We can calculate the autocorrelation of Forward Industries returns to help us make a trade decision. For example, suppose you find that Forward 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 |
Forward 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 Forward Industries stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Forward Industries stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Forward Industries stock over time.
Current vs Lagged Prices |
| Timeline |
Forward Industries Lagged Returns
When evaluating Forward Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Forward Industries stock have on its future price. Forward 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, Forward Industries autocorrelation shows the relationship between Forward Industries stock current value and its past values and can show if there is a momentum factor associated with investing in Forward 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 Forward 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, Forward Industries' short interest history, or implied volatility extrapolated from Forward Industries options trading.
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Complementary Tools for Forward Stock analysis
When running Forward Industries' price analysis, check to measure Forward 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 Forward Industries is operating at the current time. Most of Forward Industries' value examination focuses on studying past and present price action to predict the probability of Forward Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Forward Industries' price. Additionally, you may evaluate how the addition of Forward Industries to your portfolios can decrease your overall portfolio volatility.
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Forward 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.