Lockheed Martin Stock Market Value
| LMT Stock | USD 463.87 7.78 1.71% |
| Symbol | Lockheed |
Is Lockheed Martin'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 Lockheed Martin. If investors know Lockheed 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 Lockheed Martin listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Lockheed Martin is measured differently than its book value, which is the value of Lockheed that is recorded on the company's balance sheet. Investors also form their own opinion of Lockheed Martin's value that differs from its market value or its book value, called intrinsic value, which is Lockheed Martin'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 Lockheed Martin's market value can be influenced by many factors that don't directly affect Lockheed Martin'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 Lockheed Martin's value and its price as these two are different measures arrived at by different means. Investors typically determine if Lockheed Martin is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Lockheed Martin'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.
Lockheed Martin '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 Lockheed Martin'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 Lockheed Martin.
| 01/21/2024 |
| 04/20/2024 |
If you would invest 0.00 in Lockheed Martin on January 21, 2024 and sell it all today you would earn a total of 0.00 from holding Lockheed Martin or generate 0.0% return on investment in Lockheed Martin over 90 days. Lockheed Martin is related to or competes with Northrop Grumman, General Dynamics, L3Harris Technologies, Boeing, Raytheon Technologies, Huntington Ingalls, and Virgin Galactic. Lockheed Martin Corporation, a security and aerospace company, engages in the research, design, development, manufacture... More
Lockheed Martin 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 Lockheed Martin'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 Lockheed Martin upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.16 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 4.16 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.29 |
Lockheed Martin Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lockheed Martin's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lockheed Martin's standard deviation. In reality, there are many statistical measures that can use Lockheed Martin historical prices to predict the future Lockheed Martin's volatility.| Risk Adjusted Performance | 0.0251 | |||
| Jensen Alpha | 0.0181 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.353 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lockheed Martin'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.
Lockheed Martin Backtested Returns
We consider Lockheed Martin very steady. Lockheed Martin has Sharpe Ratio of 0.0354, which conveys that the firm had a 0.0354% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Lockheed Martin, which you can use to evaluate the volatility of the firm. Please verify Lockheed Martin's Downside Deviation of 1.16, mean deviation of 0.6323, and Risk Adjusted Performance of 0.0251 to check out if the risk estimate we provide is consistent with the expected return of 0.033%. Lockheed Martin has a performance score of 2 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.0653, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Lockheed Martin's returns are expected to increase less than the market. However, during the bear market, the loss of holding Lockheed Martin is expected to be smaller as well. Lockheed Martin right now secures a risk of 0.93%. Please verify Lockheed Martin downside variance, and the relationship between the total risk alpha and daily balance of power , to decide if Lockheed Martin will be following its current price movements.
Auto-correlation | -0.24 |
Weak reverse predictability
Lockheed Martin has weak reverse predictability. Overlapping area represents the amount of predictability between Lockheed Martin time series from 21st of January 2024 to 6th of March 2024 and 6th of March 2024 to 20th 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 Lockheed Martin price movement. The serial correlation of -0.24 indicates that over 24.0% of current Lockheed Martin price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 83.71 |
Lockheed Martin lagged returns against current returns
Autocorrelation, which is Lockheed Martin 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 Lockheed Martin's stock expected returns. We can calculate the autocorrelation of Lockheed Martin returns to help us make a trade decision. For example, suppose you find that Lockheed Martin 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 |
Lockheed Martin 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 Lockheed Martin stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Lockheed Martin stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Lockheed Martin stock over time.
Current vs Lagged Prices |
| Timeline |
Lockheed Martin Lagged Returns
When evaluating Lockheed Martin's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Lockheed Martin stock have on its future price. Lockheed Martin 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, Lockheed Martin autocorrelation shows the relationship between Lockheed Martin stock current value and its past values and can show if there is a momentum factor associated with investing in Lockheed Martin.
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 Lockheed Martin 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, Lockheed Martin's short interest history, or implied volatility extrapolated from Lockheed Martin options trading.
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Complementary Tools for Lockheed Stock analysis
When running Lockheed Martin's price analysis, check to measure Lockheed Martin'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 Lockheed Martin is operating at the current time. Most of Lockheed Martin's value examination focuses on studying past and present price action to predict the probability of Lockheed Martin's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lockheed Martin's price. Additionally, you may evaluate how the addition of Lockheed Martin to your portfolios can decrease your overall portfolio volatility.
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Lockheed Martin 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.