Logistic Properties Of Stock Market Value
| LPA Stock | 7.22 0.26 3.74% |
| Symbol | Logistic |
Logistic Properties Price To Book Ratio
Is Other Specialized REITs space 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 Logistic Properties. If investors know Logistic 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 Logistic Properties 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 Logistic Properties is measured differently than its book value, which is the value of Logistic that is recorded on the company's balance sheet. Investors also form their own opinion of Logistic Properties' value that differs from its market value or its book value, called intrinsic value, which is Logistic Properties' 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 Logistic Properties' market value can be influenced by many factors that don't directly affect Logistic Properties' 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 Logistic Properties' value and its price as these two are different measures arrived at by different means. Investors typically determine if Logistic Properties is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Logistic Properties' 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.
Logistic Properties '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 Logistic Properties' 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 Logistic Properties.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in Logistic Properties on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding Logistic Properties of or generate 0.0% return on investment in Logistic Properties over 30 days. Logistic Properties is related to or competes with Redfin Corp, Douglas Elliman, and Real Brokerage. Logistic Properties is entity of United States More
Logistic Properties 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 Logistic Properties' 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 Logistic Properties of upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 22.99 | |||
| Value At Risk | (5.65) | |||
| Potential Upside | 6.22 |
Logistic Properties Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Logistic Properties' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Logistic Properties' standard deviation. In reality, there are many statistical measures that can use Logistic Properties historical prices to predict the future Logistic Properties' volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.53) | |||
| Total Risk Alpha | (1.16) | |||
| Treynor Ratio | (6.14) |
Logistic Properties Backtested Returns
Logistic Properties has Sharpe Ratio of -0.13, which conveys that the firm had a -0.13% return per unit of risk over the last 3 months. Logistic Properties exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Logistic Properties' Risk Adjusted Performance of (0.09), standard deviation of 4.05, and Mean Deviation of 2.81 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.0847, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Logistic Properties' returns are expected to increase less than the market. However, during the bear market, the loss of holding Logistic Properties is expected to be smaller as well. At this point, Logistic Properties has a negative expected return of -0.52%. Please make sure to verify Logistic Properties' kurtosis, market facilitation index, and the relationship between the value at risk and rate of daily change , to decide if Logistic Properties performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.20 |
Weak predictability
Logistic Properties of has weak predictability. Overlapping area represents the amount of predictability between Logistic Properties time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th of November 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 Logistic Properties price movement. The serial correlation of 0.2 indicates that over 20.0% of current Logistic Properties price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.27 |
Logistic Properties lagged returns against current returns
Autocorrelation, which is Logistic Properties 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 Logistic Properties' stock expected returns. We can calculate the autocorrelation of Logistic Properties returns to help us make a trade decision. For example, suppose you find that Logistic Properties 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 |
Logistic Properties 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 Logistic Properties stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Logistic Properties stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Logistic Properties stock over time.
Current vs Lagged Prices |
| Timeline |
Logistic Properties Lagged Returns
When evaluating Logistic Properties' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Logistic Properties stock have on its future price. Logistic Properties 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, Logistic Properties autocorrelation shows the relationship between Logistic Properties stock current value and its past values and can show if there is a momentum factor associated with investing in Logistic Properties of.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Logistic Properties offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Logistic Properties' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Logistic Properties Of Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Logistic Properties Of Stock:Check out Logistic Properties Correlation, Logistic Properties Volatility and Logistic Properties Alpha and Beta module to complement your research on Logistic Properties. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Logistic Properties 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.