Ford Motor Stock Market Value
F Stock | USD 12.06 0.02 0.17% |
Symbol | Ford |
Ford Motor Price To Book Ratio
Is Ford's 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 Ford. If investors know Ford 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 Ford 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 1.938 | Dividend Share 0.6 | Earnings Share 1.08 | Revenue Per Share 44.07 | Quarterly Revenue Growth 0.045 |
The market value of Ford Motor is measured differently than its book value, which is the value of Ford that is recorded on the company's balance sheet. Investors also form their own opinion of Ford's value that differs from its market value or its book value, called intrinsic value, which is Ford's 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 Ford's market value can be influenced by many factors that don't directly affect Ford's 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 Ford's value and its price as these two are different measures arrived at by different means. Investors typically determine if Ford is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ford's 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.
Ford '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 Ford's 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 Ford.
01/19/2024 |
| 03/19/2024 |
If you would invest 0.00 in Ford on January 19, 2024 and sell it all today you would earn a total of 0.00 from holding Ford Motor or generate 0.0% return on investment in Ford over 60 days. Ford is related to or competes with Volcon, Goodyear Tire, Dorman Products, Visteon Corp, and Quantumscape Corp. Ford Motor Company designs, manufactures, markets, and services a range of Ford trucks, cars, sport utility vehicles, el... More
Ford 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 Ford's 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 Ford Motor upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.72 | |||
Information Ratio | 0.0228 | |||
Maximum Drawdown | 11.98 | |||
Value At Risk | (2.46) | |||
Potential Upside | 4.07 |
Ford Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ford's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ford's standard deviation. In reality, there are many statistical measures that can use Ford historical prices to predict the future Ford's volatility.Risk Adjusted Performance | 0.0648 | |||
Jensen Alpha | 0.2976 | |||
Total Risk Alpha | (0.26) | |||
Sortino Ratio | 0.0277 | |||
Treynor Ratio | (0.21) |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Ford's 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. Please use the tools below to analyze the current value of Ford in the context of predictive analytics.
Ford Motor Backtested Returns
We consider Ford not too volatile. Ford Motor secures Sharpe Ratio (or Efficiency) of 0.0508, which denotes the company had 0.0508% return per unit of risk over the last 3 months. Our standpoint towards predicting the volatility of a stock is to use all available market data together with stock-specific technical indicators that cannot be diversified away. We have found twenty-nine technical indicators for Ford Motor, which you can use to evaluate the future volatility of the firm. Please confirm Ford's Mean Deviation of 1.51, downside deviation of 1.72, and Coefficient Of Variation of 1094.34 to check if the risk estimate we provide is consistent with the expected return of 0.0994%. Ford has a performance score of 3 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.87, which means possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Ford are expected to decrease slowly. On the other hand, during market turmoil, Ford is expected to outperform it slightly. Although it is important to respect Ford Motor historical returns, it is better to be realistic regarding the information on the equity's current trending patterns. Ford Motor right now shows a risk of 1.96%. Please confirm Ford Motor expected short fall, day median price, and the relationship between the potential upside and accumulation distribution to decide if Ford Motor will be following its price patterns.
Auto-correlation | 0.01 |
Virtually no predictability
Ford Motor has virtually no predictability. Overlapping area represents the amount of predictability between Ford time series from 19th of January 2024 to 18th of February 2024 and 18th of February 2024 to 19th of March 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 Ford Motor price movement. The serial correlation of 0.01 indicates that just 1.0% of current Ford price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.01 | |
Spearman Rank Test | -0.07 | |
Residual Average | 0.0 | |
Price Variance | 0.04 |
Ford Motor lagged returns against current returns
Autocorrelation, which is Ford 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 Ford's stock expected returns. We can calculate the autocorrelation of Ford returns to help us make a trade decision. For example, suppose you find that Ford stock 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 stock movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Ford 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 Ford stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ford stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ford stock over time.
Current vs Lagged Prices |
Timeline |
Ford Lagged Returns
When evaluating Ford's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ford stock have on its future price. Ford 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, Ford autocorrelation shows the relationship between Ford stock current value and its past values and can show if there is a momentum factor associated with investing in Ford Motor.
Regressed Prices |
Timeline |
Ford Investors Sentiment
The influence of Ford's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Ford. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Ford's public news can be used to forecast risks associated with an investment in Ford. The trend in average sentiment can be used to explain how an investor holding Ford can time the market purely based on public headlines and social activities around Ford Motor. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Ford's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Ford's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Ford's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Ford.
Ford Implied Volatility | 36.47 |
Ford's implied volatility exposes the market's sentiment of Ford Motor stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Ford's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Ford stock will not fluctuate a lot when Ford's options are near their expiration.
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 Ford 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, Ford's short interest history, or implied volatility extrapolated from Ford options trading.
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Try AI Portfolio ArchitectCheck out Ford Correlation, Ford Volatility and Ford Alpha and Beta module to complement your research on Ford. Note that the Ford Motor information on this page should be used as a complementary analysis to other Ford's statistical models used 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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Complementary Tools for Ford Stock analysis
When running Ford's price analysis, check to measure Ford's 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 Ford is operating at the current time. Most of Ford's value examination focuses on studying past and present price action to predict the probability of Ford's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ford's price. Additionally, you may evaluate how the addition of Ford to your portfolios can decrease your overall portfolio volatility.
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Ford 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.