Jones Lang Lasalle Stock Market Value
| JLL Stock | USD 249.90 10.07 4.20% |
| Symbol | Jones |
Jones Lang LaSalle Price To Book Ratio
Is Real Estate Management & Development 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 Jones Lang. If investors know Jones 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 Jones Lang 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 0.392 | Earnings Share 11.3 | Revenue Per Share | Quarterly Revenue Growth 0.158 | Return On Assets |
The market value of Jones Lang LaSalle is measured differently than its book value, which is the value of Jones that is recorded on the company's balance sheet. Investors also form their own opinion of Jones Lang's value that differs from its market value or its book value, called intrinsic value, which is Jones Lang'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 Jones Lang's market value can be influenced by many factors that don't directly affect Jones Lang'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 Jones Lang's value and its price as these two are different measures arrived at by different means. Investors typically determine if Jones Lang is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Jones Lang'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.
Jones Lang '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 Jones Lang'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 Jones Lang.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Jones Lang on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Jones Lang LaSalle or generate 0.0% return on investment in Jones Lang over 90 days. Jones Lang is related to or competes with Cushman Wakefield, Colliers International, CoStar, Newmark, CBRE Group, Marcus Millichap, and FirstService Corp. Jones Lang LaSalle Incorporated, a professional services company, provides real estate and investment management service... More
Jones Lang 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 Jones Lang'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 Jones Lang LaSalle upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 11.49 | |||
| Value At Risk | (3.94) | |||
| Potential Upside | 2.98 |
Jones Lang Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jones Lang's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jones Lang's standard deviation. In reality, there are many statistical measures that can use Jones Lang historical prices to predict the future Jones Lang's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | 0.0231 | |||
| Total Risk Alpha | 0.1859 | |||
| Treynor Ratio | (0.13) |
Jones Lang LaSalle Backtested Returns
Jones Lang LaSalle holds Efficiency (Sharpe) Ratio of -0.0493, which attests that the entity had a -0.0493 % return per unit of risk over the last 3 months. Jones Lang LaSalle exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Jones Lang's Risk Adjusted Performance of (0.06), standard deviation of 2.2, and Market Risk Adjusted Performance of (0.12) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 1.46, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Jones Lang will likely underperform. At this point, Jones Lang LaSalle has a negative expected return of -0.11%. Please make sure to check out Jones Lang's jensen alpha, skewness, as well as the relationship between the Skewness and day median price , to decide if Jones Lang LaSalle performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.51 |
Good reverse predictability
Jones Lang LaSalle has good reverse predictability. Overlapping area represents the amount of predictability between Jones Lang time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Jones Lang LaSalle price movement. The serial correlation of -0.51 indicates that about 51.0% of current Jones Lang price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | -0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 127.88 |
Jones Lang LaSalle lagged returns against current returns
Autocorrelation, which is Jones Lang 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 Jones Lang's stock expected returns. We can calculate the autocorrelation of Jones Lang returns to help us make a trade decision. For example, suppose you find that Jones Lang 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 |
Jones Lang 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 Jones Lang stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jones Lang stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Jones Lang stock over time.
Current vs Lagged Prices |
| Timeline |
Jones Lang Lagged Returns
When evaluating Jones Lang's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jones Lang stock have on its future price. Jones Lang 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, Jones Lang autocorrelation shows the relationship between Jones Lang stock current value and its past values and can show if there is a momentum factor associated with investing in Jones Lang LaSalle.
Regressed Prices |
| Timeline |
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Jones Lang 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.