Logistic Properties Of Stock Price Prediction

Intrinsic Valuation Low Real High 0.12 2.48 7.48 Details

Naive Forecast Low Next High 0.05 2.73 7.73 Details

Bollinger Band Projection (param) Lower Middle Band Upper 2.53 2.83 3.14 Details

Logistic Properties After-Hype Price Density Analysis

Logistic Properties Estimiated After-Hype Price Volatility

Logistic Properties Stock Price Outlook Analysis

Notes

Logistic Properties Hype Timeline

On the 29th of January Logistic Properties is traded for 2.87. The entity has historical hype elasticity of -0.01, and average elasticity to hype of competition of 0.0. Logistic is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is projected to be very small, whereas the daily expected return is now at -0.15%. %. The volatility of related hype on Logistic Properties is about 21557.14%, with the expected price after the next announcement by competition of 2.87. About 85.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 0.37. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Logistic Properties had not issued any dividends in recent years. Considering the 90-day investment horizon the next projected press release will be in a few days. Check out Logistic Properties Basic Forecasting Models to cross-verify your projections.

Logistic Properties Related Hype Analysis

Logistic Properties Additional Predictive Modules

Most predictive techniques to examine Logistic price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Logistic using various technical indicators. When you analyze Logistic charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

The successful prediction of Logistic Properties stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Logistic Properties of, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Logistic Properties based on analysis of Logistic Properties hews, social hype, general headline patterns, and widely used predictive technical indicators.

When running Logistic Properties' price analysis, check to measure Logistic Properties' 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 Logistic Properties is operating at the current time. Most of Logistic Properties' value examination focuses on studying past and present price action to predict the probability of Logistic Properties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Logistic Properties' price. Additionally, you may evaluate how the addition of Logistic Properties to your portfolios can decrease your overall portfolio volatility.