Jones Lang Lasalle Stock Market Value
JLL Stock | USD 278.15 2.45 0.87% |
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 1.602 | Earnings Share 9.88 | Revenue Per Share 473.594 | Quarterly Revenue Growth 0.148 | Return On Assets 0.0305 |
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.
06/05/2024 |
| 12/02/2024 |
If you would invest 0.00 in Jones Lang on June 5, 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 180 days. Jones Lang is related to or competes with Frp Holdings, Transcontinental, Anywhere Real, Re Max, CoStar, IRSA Inversiones, and CBRE Group. 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.
Downside Deviation | 1.69 | |||
Information Ratio | 0.023 | |||
Maximum Drawdown | 11.41 | |||
Value At Risk | (2.20) | |||
Potential Upside | 3.17 |
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 | 0.0772 | |||
Jensen Alpha | 0.1382 | |||
Total Risk Alpha | (0.16) | |||
Sortino Ratio | 0.0269 | |||
Treynor Ratio | 0.6357 |
Jones Lang LaSalle Backtested Returns
As of now, Jones Stock is very steady. Jones Lang LaSalle holds Efficiency (Sharpe) Ratio of 0.0893, which attests that the entity had a 0.0893% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Jones Lang LaSalle, which you can use to evaluate the volatility of the firm. Please check out Jones Lang's Risk Adjusted Performance of 0.0772, market risk adjusted performance of 0.6457, and Downside Deviation of 1.69 to validate if the risk estimate we provide is consistent with the expected return of 0.18%. Jones Lang has a performance score of 7 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.27, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Jones Lang's returns are expected to increase less than the market. However, during the bear market, the loss of holding Jones Lang is expected to be smaller as well. Jones Lang LaSalle right now retains a risk of 1.99%. Please check out Jones Lang maximum drawdown, as well as the relationship between the expected short fall and rate of daily change , to decide if Jones Lang will be following its current trending patterns.
Auto-correlation | 0.48 |
Average predictability
Jones Lang LaSalle has average predictability. Overlapping area represents the amount of predictability between Jones Lang time series from 5th of June 2024 to 3rd of September 2024 and 3rd of September 2024 to 2nd of December 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 Jones Lang LaSalle price movement. The serial correlation of 0.48 indicates that about 48.0% of current Jones Lang price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.48 | |
Spearman Rank Test | 0.39 | |
Residual Average | 0.0 | |
Price Variance | 68.6 |
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.