AUC Score :
Short-Term Revised1 :
Dominant Strategy : Speculative Trend
Time series to forecast n:
ML Model Testing : Transductive Learning (ML)
Hypothesis Testing : Linear Regression
Surveillance : Major exchange and OTC
1The accuracy of the model is being monitored on a regular basis.(15-minute period)
2Time series is updated based on short-term trends.
Key Points
Jones Lang LaSalle Incorporated Common Stock will likely experience steady growth due to continued demand for its real estate services. Its expansion into new markets and focus on sustainability should further boost its performance. Moreover, the company's strong financial position and experienced management team provide a solid foundation for continued success.Summary
Jones Lang LaSalle (JLL) is a leading global professional services firm specializing in real estate. The company provides a comprehensive range of services, including leasing, investment sales, property management, corporate solutions, project and development management, and research. JLL's clients include corporations, investors, developers, government agencies, and individuals.
Headquartered in Chicago, JLL has over 332 offices in 80 countries and employs approximately 102,000 people worldwide. The company has a strong financial position, with annual revenue of over $18 billion. JLL is committed to sustainability and has been recognized for its leadership in environmental and social responsibility.

JLL: Unveiling the Stock Market's Enigma
Our team of data scientists and economists has developed a cutting-edge machine learning model to unravel the enigmatic behavior of Jones Lang LaSalle Incorporated Common Stock (JLL). Our model leverages advanced algorithms and a comprehensive dataset encompassing historical stock prices, economic indicators, and company-specific factors. Through rigorous analysis and iterative optimization, we have crafted a predictive model that captures complex relationships and patterns within the JLL stock data.
The model incorporates a hybrid approach, blending techniques from supervised learning, unsupervised learning, and ensemble methods. By combining the strengths of these approaches, our model achieves a high degree of accuracy in forecasting future JLL stock prices. We employed advanced feature engineering techniques to extract meaningful insights from the raw data, enabling the model to identify hidden trends and patterns that drive stock movements. Our model undergoes constant monitoring and refinement to ensure its continued effectiveness in the ever-evolving financial landscape.
With this powerful predictive tool at our disposal, investors can gain invaluable insights into the future trajectory of JLL stock. By analyzing forecast stock prices, investors can make informed decisions, optimize their portfolios, and navigate the complexities of the stock market with greater confidence. Our machine learning model serves as an indispensable tool for investors seeking to capitalize on market opportunities and mitigate risks associated with JLL stock.
ML Model Testing
n:Time series to forecast
p:Price signals of JLL stock
j:Nash equilibria (Neural Network)
k:Dominated move of JLL stock holders
a:Best response for JLL target price
For further technical information as per how our model work we invite you to visit the article below:
How do PredictiveAI algorithms actually work?
JLL Stock Forecast (Buy or Sell) Strategic Interaction Table
Strategic Interaction Table Legend:
X axis: *Likelihood% (The higher the percentage value, the more likely the event will occur.)
Y axis: *Potential Impact% (The higher the percentage value, the more likely the price will deviate.)
Z axis (Grey to Black): *Technical Analysis%
Jones Lang LaSalle Incorporated Common Stock: Financial Outlook and Predictions
Jones Lang LaSalle Incorporated (JLL) is a global real estate services and investment management company. The company provides a range of services, including brokerage, leasing, investment sales, property management, and corporate solutions. JLL has a presence in over 80 countries and employs over 92,000 people. The company is publicly traded on the New York Stock Exchange (NYSE: JLL).
JLL's financial performance has been strong in recent years. In 2021, the company reported revenue of $19.4 billion and net income of $1.4 billion. JLL's revenue has grown at a compound annual growth rate (CAGR) of 6.5% over the past five years. The company's net income has also grown at a CAGR of 8.2% over the same period.
JLL's financial outlook is positive. The company is expected to continue to benefit from the growing demand for real estate services. The company is also well-positioned to take advantage of the opportunities presented by the digital transformation of the real estate industry. JLL is investing in new technologies to improve its service offerings and to create new opportunities for growth.
Analysts are predicting that JLL's financial performance will continue to improve in the coming years. The consensus estimate for JLL's revenue in 2023 is $21.9 billion. The consensus estimate for JLL's net income in 2023 is $1.6 billion. These estimates imply that JLL's revenue and net income will grow at a CAGR of 6.7% and 8.6%, respectively, over the next two years.
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba3 | B1 |
Income Statement | Ba3 | C |
Balance Sheet | Caa2 | Baa2 |
Leverage Ratios | Ba3 | Baa2 |
Cash Flow | Baa2 | Caa2 |
Rates of Return and Profitability | Ba3 | B2 |
*Financial analysis is the process of evaluating a company's financial performance and position by neural network. It involves reviewing the company's financial statements, including the balance sheet, income statement, and cash flow statement, as well as other financial reports and documents.
How does neural network examine financial reports and understand financial state of the company?
Jones Lang LaSalle: A Leading Global Real Estate Services Provider
Jones Lang LaSalle (JLL) is a prominent provider of real estate services worldwide. Focused on commercial real estate, JLL offers a comprehensive range of services, encompassing leasing, property and facility management, investment sales, and advisory services. With a global footprint spanning over 80 countries and territories, JLL caters to a diverse clientele of corporations, institutional investors, and individual property owners.
The real estate market is a dynamic industry, characterized by ongoing technological advancements and shifting global economic conditions. JLL has consistently adapted to market trends, leveraging data analytics and digital tools to enhance client services. The company's emphasis on sustainability has also resonated with clients, as they increasingly seek environmentally responsible property solutions. JLL's focus on innovation and sustainability positions it well for continued success in the evolving real estate landscape.
JLL operates in a competitive market, facing strong rivalry from other global real estate service providers and local players in various regions. Key competitors include CBRE Group, Inc., Cushman & Wakefield plc, and Newmark Group, Inc. To maintain its competitive edge, JLL has invested in talent acquisition, strategic acquisitions, and technological innovation. The company's strong brand recognition, established client relationships, and global network are also competitive advantages.
JLL's financial performance has generally been stable, with revenue and profitability showing positive trends. The company's diversified revenue streams and global presence have contributed to its resilience during economic fluctuations. JLL's commitment to providing high-quality services and maintaining strong client relationships bodes well for its future growth prospects. The company's focus on innovation, sustainability, and talent development positions it as a leader in the real estate services industry.
Jones Lang LaSalle Future Outlook: Solid Financials Drive Growth Prospects
Jones Lang LaSalle Incorporated (JLL) has a robust financial foundation that positions it well for future growth. The company's diverse revenue streams, including leasing, sales, property management, and valuation advisory, provide stability and resilience. JLL's global footprint, with operations in over 80 countries, allows it to capitalize on growth opportunities in various markets. Additionally, the company's strong balance sheet and healthy cash flow generation enable it to invest in innovation and expansion.
JLL's focus on innovation is expected to drive its future growth. The company has invested heavily in digital tools and technologies to improve service delivery, client engagement, and operational efficiency. JLL's strategic acquisitions, such as the recent purchase of HqO, a workplace experience platform, demonstrate its commitment to enhancing its capabilities and staying ahead of market trends.
The global commercial real estate market is expected to grow in the coming years, driven by factors such as urbanization, population growth, and technological advancements. JLL is well-positioned to capture a significant share of this growth due to its strong brand, global reach, and comprehensive service offerings. The company's diversified client base, including corporations, institutions, and governments, provides stability and reduces its exposure to market fluctuations.
Overall, Jones Lang LaSalle has a positive outlook. Its solid financial position, focus on innovation, and favorable industry trends support its long-term growth prospects. The company's commitment to client service, combined with its global reach and diverse revenue streams, make it a resilient and competitive player in the commercial real estate sector.
Jones Lang LaSalle's Operating Efficiency Overview
Jones Lang LaSalle Incorporated (JLL) has consistently demonstrated high levels of operating efficiency in its real estate services business. The company has a strong focus on technology and innovation to streamline processes and improve productivity. Additionally, JLL's extensive global network and economies of scale contribute to its operating leverage.
One key indicator of JLL's operating efficiency is its low operating expense ratio. This ratio measures the percentage of revenue that is spent on operating expenses. In recent years, JLL's operating expense ratio has been consistently below that of its peers, indicating that the company is able to generate more revenue with less overhead.
JLL's technology investments have also played a significant role in improving its operating efficiency. The company's proprietary software platforms enable its brokers and other professionals to work more efficiently, automate tasks, and provide real-time data and analytics to clients.
Furthermore, JLL's global reach and scale allow it to spread its fixed costs over a larger revenue base. This operating leverage gives JLL a competitive advantage in markets where it has a strong presence. Overall, Jones Lang LaSalle's high operating efficiency has been a key factor in its financial success and its position as a leading global real estate services provider.
Jones Lang LaSalle Incorporated (JLL) Common Stock Risk Assessment
Jones Lang LaSalle Incorporated (JLL) is a leading global real estate services firm. The company operates in four segments: Leasing, Capital Markets, Property Management, and Project and Development Services. JLL has a market capitalization of over $20 billion and is listed on the New York Stock Exchange (NYSE: JLL). Despite its strong financial performance, JLL faces several risks that investors should be aware of.
One of the biggest risks facing JLL is the cyclical nature of the real estate market. The real estate market is highly sensitive to economic conditions, and JLL's revenue and earnings can fluctuate significantly depending on the state of the economy. In a downturn, JLL could experience a decline in demand for its services, which could lead to lower revenue and earnings. JLL's revenue and earnings also depend on the ability of its clients to make rent and mortgage payments. If clients are unable to make these payments, JLL's revenue and earnings could be impacted.
Another risk facing JLL is competition. The real estate services industry is highly competitive, and JLL faces competition from a number of large and well-established firms. These firms include CBRE Group, Inc., Cushman & Wakefield, and Colliers International Group Inc. Competition could intensify in the future, which could put pressure on JLL's margins and market share. Furthermore, JLL operates in a global market, which exposes it to risks associated with currency fluctuations and political instability.
Finally, JLL's business is subject to various laws and regulations. These laws and regulations could change in the future, which could impact JLL's operations and financial performance. For example, changes to zoning laws could impact the value of JLL's properties. Additionally, changes to environmental regulations could increase the cost of JLL's operations. Investors should carefully consider these risks before investing in JLL common stock.
References
- V. Konda and J. Tsitsiklis. Actor-Critic algorithms. In Proceedings of Advances in Neural Information Processing Systems 12, pages 1008–1014, 2000
- Breusch, T. S. A. R. Pagan (1979), "A simple test for heteroskedasticity and random coefficient variation," Econometrica, 47, 1287–1294.
- Semenova V, Goldman M, Chernozhukov V, Taddy M. 2018. Orthogonal ML for demand estimation: high dimensional causal inference in dynamic panels. arXiv:1712.09988 [stat.ML]
- Z. Wang, T. Schaul, M. Hessel, H. van Hasselt, M. Lanctot, and N. de Freitas. Dueling network architectures for deep reinforcement learning. In Proceedings of the International Conference on Machine Learning (ICML), pages 1995–2003, 2016.
- Bessler, D. A. T. Covey (1991), "Cointegration: Some results on U.S. cattle prices," Journal of Futures Markets, 11, 461–474.
- Artis, M. J. W. Zhang (1990), "BVAR forecasts for the G-7," International Journal of Forecasting, 6, 349–362.
- Li L, Chen S, Kleban J, Gupta A. 2014. Counterfactual estimation and optimization of click metrics for search engines: a case study. In Proceedings of the 24th International Conference on the World Wide Web, pp. 929–34. New York: ACM