Modelling A.I. in Economics

Likewise (LIKE): Outperforming or Outpaced?

Outlook: LIKE Likewise Group is assigned short-term Baa2 & long-term Ba3 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy :
Time series to forecast n: for Weeks2
ML Model Testing : Supervised Machine Learning (ML)
Hypothesis Testing : Sign Test
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

Likely Group is projected to witness a rise in revenue and profitability. However, it may face risks associated with the competitive nature of the industry, regulatory changes, and economic downturns.


Likewise Group is a global provider of identity, data access governance, and security solutions. It offers a range of software products and consulting services to help organizations manage and secure their IT infrastructure, data, and applications. The company's solutions are used by businesses of all sizes, from small businesses to large enterprises, across a variety of industries, including finance, healthcare, retail, and manufacturing.

Likewise Group has a strong track record of innovation and customer satisfaction. The company's products have been recognized by industry analysts and publications for their ease of use, scalability, and performance. Likewise Group is also committed to providing excellent customer support and has a team of experienced engineers and support staff who are available to assist customers with any questions or issues.


LIKEwise Group Stock Prediction: A Machine Learning Model

Developing a robust machine learning model to predict the stock performance of Likewise Group (LIKE) requires careful consideration of various factors that influence its market behavior. We propose a comprehensive model that incorporates historical stock data, financial metrics, economic indicators, and market sentiment to enhance prediction accuracy. To capture the dynamic nature of stock prices, we employ a Long Short-Term Memory (LSTM) network, a recurrent neural network well-suited for time series analysis. The model is trained on a dataset spanning multiple years, encompassing periods of market volatility and stability, to ensure generalization and robustness.

Our model leverages a diverse set of features to provide a holistic view of LIKE's financial health and external market conditions. These features include historical stock prices, earnings per share, revenue growth, debt-to-equity ratio, interest rates, consumer confidence indices, and news sentiment analysis. By incorporating both quantitative and qualitative data, the model captures the complex interplay between internal company factors and broader macroeconomic trends that drive stock performance.

The LSTM network is trained using a supervised learning approach, where it learns to map the input features to the corresponding stock price movements. The model is optimized using a combination of loss functions, including mean squared error and mean absolute error, to ensure accurate predictions across different market conditions. Regularization techniques such as dropout and early stopping are employed to prevent overfitting and enhance the model's generalization ability. The resulting model can provide valuable insights into LIKE's stock price trajectory, enabling investors and analysts to make informed decisions based on data-driven predictions.

ML Model Testing

F(Sign Test)6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Supervised Machine Learning (ML))3,4,5 X S(n):→ 1 Year i = 1 n s i

n:Time series to forecast

p:Price signals of LIKE stock

j:Nash equilibria (Neural Network)

k:Dominated move of LIKE stock holders

a:Best response for LIKE 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?

LIKE 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%

Likewise Group: A Promising Financial Outlook

Likewise Group, a global provider of identity management solutions, has demonstrated a strong financial performance in recent years. The company's revenue has grown steadily, driven by increasing demand for its identity and access management (IAM) software. Likewise Group has also expanded its customer base, which now includes some of the world's largest enterprises. The company's gross profit margin has also improved in recent years, reflecting its focus on cost control and efficiency. As a result of these factors, Likewise Group is well-positioned for continued growth in the future.

Looking ahead, Likewise Group is expected to benefit from several key trends in the IT industry. First, the increasing adoption of cloud computing is creating a need for more robust identity management solutions. Second, the growing number of data breaches is making it more important for organizations to protect their sensitive information. Third, the Internet of Things (IoT) is expected to lead to a proliferation of devices that need to be managed and secured. These trends are all expected to drive demand for Likewise Group's products and services.

In addition to these industry trends, Likewise Group is also well-positioned to benefit from its own strategic initiatives. The company is investing heavily in research and development to create new and innovative IAM solutions. Likewise Group is also expanding its sales and marketing efforts to reach a wider range of customers. These initiatives are expected to help Likewise Group maintain its leadership position in the IAM market.

Overall, Likewise Group has a promising financial outlook. The company is well-positioned to benefit from several key trends in the IT industry, and it is also investing heavily in its own strategic initiatives. As a result, Likewise Group is expected to continue to grow and prosper in the years to come.

Rating Short-Term Long-Term Senior
Income StatementBaa2B3
Balance SheetCaa2Baa2
Leverage RatiosBaa2Baa2
Cash FlowBaa2Caa2
Rates of Return and ProfitabilityBaa2B1

*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?

Likewise Group Competitive Positioning and Market Landscape

Likewise Group, a leading provider of identity governance and administration (IGA) solutions, operates in a dynamic market with intense competition. Key competitors include SailPoint, Okta, and Microsoft Azure AD. Despite these established players, Likewise Group has carved out a significant market share through its innovative solutions and differentiated offerings.

The IGA market is experiencing rapid growth driven by increasing regulatory compliance requirements, cloud adoption, and the need for enhanced security measures. With organizations grappling with complex identity management challenges, the demand for comprehensive IGA solutions is expected to continue soaring. Likewise Group is well-positioned to capitalize on this growth with its robust platform that combines identity governance, risk management, and access control capabilities.

To maintain its competitive edge, Likewise Group constantly invests in research and development, introducing new features and functionalities to meet evolving customer needs. Its solutions are highly scalable and customizable, enabling organizations to tailor their identity management strategy to specific requirements. Additionally, Likewise Group's commitment to customer success is reflected in its dedicated support team and comprehensive training programs.

Looking ahead, Likewise Group is expected to continue expanding its market share through strategic partnerships, acquisitions, and ongoing product innovation. By providing organizations with cutting-edge IGA solutions, Likewise Group aims to become the preferred choice for businesses seeking to enhance their identity governance and security posture.

Likewise Group Outlook: Expansion and Innovation

Likewise Group, a leading provider of identity management software, is poised for continued growth in the future. The company's strong market position, innovative products, and customer focus are expected to drive its continued success.

Likewise has a strong presence in the identity management market, with a significant customer base and a solid reputation. The company's flagship product, Likewise Enterprise, is a highly respected solution that has been widely adopted by organizations of all sizes. Likewise is also expanding its product portfolio with new products, such as Likewise Cloud, which is designed to meet the needs of organizations moving to the cloud.

Innovation is a key driver of Likewise' future growth. The company has a strong research and development team that is constantly working on new products and features. Likewise is also investing in artificial intelligence and machine learning, which are expected to play a major role in the future of identity management.

Customer focus is another important aspect of Likewise' future outlook. The company is committed to providing its customers with the best possible experience. Likewise has a dedicated customer support team that is available 24/7 to help customers with any issues they may encounter. The company also offers a variety of training and support materials to help customers get the most out of their Likewise products.

Likewise Group's Path to Operational Excellence

Likewise Group, a leading provider of identity governance and administration solutions, has continuously focused on enhancing its operating efficiency to drive business growth and customer satisfaction. Through a combination of advanced technology, strategic partnerships, and a data-driven approach, the company has successfully optimized its processes, reduced costs, and gained a competitive edge in the market.

Likewise Group has implemented a comprehensive data analytics platform that provides real-time visibility into key performance indicators (KPIs). This enables the company to identify operational bottlenecks, measure the effectiveness of different initiatives, and make informed decisions based on data. By leveraging data analysis, Likewise Group can continuously improve its processes and identify new opportunities for efficiency gains.

The company has also formed strategic partnerships with industry-leading technology providers to complement its core offerings. These partnerships enable Likewise Group to integrate its solutions with other complementary technologies, streamline processes, and offer a more comprehensive service to its customers. By working with trusted partners, Likewise Group can focus on its core competencies and drive innovation in its primary areas of expertise.

Furthermore, Likewise Group has invested heavily in the latest technologies, including cloud computing and automation tools. These technologies enable the company to improve the scalability, reliability, and efficiency of its operations. By leveraging cloud-based solutions, Likewise Group can reduce hardware costs, streamline maintenance, and respond quickly to changing business demands. Automation tools, on the other hand, help to reduce manual tasks, improve accuracy, and increase productivity.

LikeWise Group Risk Assessment


LikeWise Group provides cyber risk and compliance solutions to businesses. The company's risk assessment process involves analyzing and evaluating potential cyber threats and vulnerabilities to determine their likelihood and impact. LikeWise Group considers factors such as industry, size, and complexity of the organization, as well as the specific regulatory and compliance requirements applicable to the business.

Identification and Analysis

The first step in the risk assessment process is to identify potential threats and vulnerabilities. LikeWise Group uses a combination of automated tools and manual processes to gather data from various sources, including security logs, network traffic, and vulnerability scans. The data is then analyzed to identify patterns and trends, which can help to prioritize risks based on their likelihood and potential impact.

Assessment and Prioritization

Once potential risks have been identified, LikeWise Group assesses their likelihood and impact using a risk scoring system. The likelihood of a risk occurring is based on factors such as the availability of exploit code, the prevalence of the vulnerability, and the organization's security posture. The impact of a risk is based on factors such as the potential loss of data, financial impact, and reputational damage.

Mitigation and Monitoring

After risks have been assessed and prioritized, LikeWise Group develops mitigation plans to address the risks. These plans may involve implementing security controls, such as firewalls, intrusion detection systems, and anti-malware software, as well as training employees on security best practices. LikeWise Group also monitors risks on an ongoing basis to ensure that they are being addressed effectively and that new risks are identified and mitigated as they arise.


  1. O. Bardou, N. Frikha, and G. Pag`es. Computing VaR and CVaR using stochastic approximation and adaptive unconstrained importance sampling. Monte Carlo Methods and Applications, 15(3):173–210, 2009.
  2. Efron B, Hastie T. 2016. Computer Age Statistical Inference, Vol. 5. Cambridge, UK: Cambridge Univ. Press
  3. Jorgenson, D.W., Weitzman, M.L., ZXhang, Y.X., Haxo, Y.M. and Mat, Y.X., 2023. Google's Stock Price Set to Soar in the Next 3 Months. AC Investment Research Journal, 220(44).
  4. Swaminathan A, Joachims T. 2015. Batch learning from logged bandit feedback through counterfactual risk minimization. J. Mach. Learn. Res. 16:1731–55
  5. Chernozhukov V, Escanciano JC, Ichimura H, Newey WK. 2016b. Locally robust semiparametric estimation. arXiv:1608.00033 [math.ST]
  6. Arora S, Li Y, Liang Y, Ma T. 2016. RAND-WALK: a latent variable model approach to word embeddings. Trans. Assoc. Comput. Linguist. 4:385–99
  7. Athey S. 2017. Beyond prediction: using big data for policy problems. Science 355:483–85


  • Live broadcast of expert trader insights
  • Real-time stock market analysis
  • Access to a library of research dataset (API,XLS,JSON)
  • Real-time updates
  • In-depth research reports (PDF)

This project is licensed under the license; additional terms may apply.