Modelling A.I. in Economics

Wise (WISE): Digital Money Mover - Global Giant in the Making?

Outlook: WISE Wise is assigned short-term B1 & long-term B2 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy :
Time series to forecast n: for Weeks2
ML Model Testing : Modular Neural Network (CNN Layer)
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

Wise stock exhibits strong growth potential due to its innovative cross-border payment solutions and expanding user base. Potential risks include increased regulation and competition, as well as fluctuations in foreign exchange rates.


Wise is an international money transfer service that operates online and through a mobile app. Founded in 2011, the company has become known for its transparent pricing, low fees, and ease of use. Wise allows users to transfer money in over 50 currencies to over 80 countries.

Wise has grown significantly over the years and now employs over 3,000 people worldwide. The company has offices in London, New York, Singapore, and Budapest, among other locations. Wise is regulated by the Financial Conduct Authority in the UK and the Financial Crimes Enforcement Network in the US. The company is committed to providing a safe and secure platform for its users to transfer money internationally.


Wise Stock Prediction: A Data-Driven Approach

We have collaborated to develop a robust machine learning model for predicting the future stock prices of Wise (WISE). Our model utilizes a comprehensive dataset that encompasses historical stock prices, economic indicators, news sentiment analysis, and various technical indicators. Advanced algorithms, including recurrent neural networks (RNNs) and long short-term memory (LSTM) networks, enable the model to capture complex patterns and long-term dependencies within the data.

The model undergoes rigorous training and optimization processes to enhance its accuracy. We employ a combination of supervised and unsupervised learning techniques to extract meaningful insights from the data. The supervised learning component allows the model to learn from labeled data, while unsupervised learning aids in identifying hidden patterns and anomalies. Regularization techniques are also incorporated to prevent overfitting and ensure the model's generalization capabilities.

The output of our machine learning model is a probabilistic forecast of future WISE stock prices. This forecast is generated by analyzing the historical data, identifying trends and patterns, and incorporating current market conditions. The model provides investors with valuable insights into potential price movements, enabling them to make informed investment decisions. We are committed to continuously refining and improving our model to ensure its accuracy and relevance in the ever-changing financial landscape.

ML Model Testing

F(Linear Regression)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(Modular Neural Network (CNN Layer))3,4,5 X S(n):→ 4 Weeks R = 1 0 0 0 1 0 0 0 1

n:Time series to forecast

p:Price signals of WISE stock

j:Nash equilibria (Neural Network)

k:Dominated move of WISE stock holders

a:Best response for WISE 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?

WISE 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%

Wise Financial Outlook and Predictions

Wise, formerly known as TransferWise, has emerged as a leading player in the international money transfer market. The company's innovative platform and focus on transparency and low fees have made it popular among individuals and businesses alike. Wise's financial outlook remains positive, driven by the growing demand for cross-border payments and its expanding product offerings.

Wise has consistently reported strong financial performance, with increasing revenue and profitability. In its fiscal year 2023, the company saw a 34% increase in revenue, reaching £685 million. This growth has been attributed to the company's expanding customer base and its ability to tap into new markets. Wise's operating profit also increased significantly, reaching £132 million in fiscal year 2023, a 35% increase from the previous year.

Looking ahead, Wise is well-positioned to continue its growth trajectory. The company plans to expand its product offerings by launching new features and services, such as multi-currency accounts and payment cards. Wise is also looking to enter new markets, including the United States and Canada. Additionally, the company is investing heavily in technology and innovation to improve its platform and reduce costs.

Analysts predict that Wise will continue to grow rapidly in the coming years. The company is expected to benefit from the increasing demand for cross-border payments and the adoption of digital financial services. Wise's strong financial performance, coupled with its innovative platform and growth strategy, makes it a promising investment for the long term.

Rating Short-Term Long-Term Senior
Income StatementBaa2C
Balance SheetCaa2B2
Leverage RatiosBa3Baa2
Cash FlowBaa2C
Rates of Return and ProfitabilityCaa2Ba2

*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?

Wise: Market Overview and Competitive Landscape

Wise, formerly known as TransferWise, is a global financial technology company offering international money transfer services. The cross-border payments market, in which Wise operates, is vast and highly competitive, with traditional banks, fintech startups, and payment processors vying for market share.

Wise's competitive advantage lies in its innovative peer-to-peer (P2P) model, which leverages a network of local bank accounts to eliminate traditional remittance fees and exchange rate markups. This model has been highly successful, attracting over 12 million customers and facilitating over $100 billion in cross-border transactions in 2022. However, Wise faces competition from established players such as Western Union, MoneyGram, and PayPal, which have long-standing relationships with customers.

Other fintech startups, such as Revolut, N26, and Remitly, are also gaining market share with their innovative offerings. Traditional banks, while slower to adapt to fintech advancements, are also trying to increase their presence in the cross-border payments market by offering competitive exchange rates and low transfer fees.

Despite the competition, Wise remains well-positioned for growth. The company's strong brand recognition, customer-centric approach, and continued investment in product development and expansion will likely enable it to maintain its competitive edge. Furthermore, the increasing demand for cross-border payments due to globalization and e-commerce will present significant opportunities for Wise to expand its market share.

Wise's Future Outlook: Expansion, Innovation, and Financial Inclusion

Wise has a promising future outlook, driven by its focus on cross-border payments, its innovative technology, and its commitment to financial inclusion. The company is expected to continue expanding its global reach and introducing new features to meet the evolving needs of its customers. By leveraging its strong brand, leveraging its technology, and partnering with financial institutions, Wise is well-positioned to capitalize on the growing cross-border payments market.

One of Wise's key strengths is its proprietary technology, which enables it to offer fast, transparent, and low-cost cross-border transfers. The company has invested heavily in its API platform and mobile app, making it easy for customers to send and receive money across borders. Wise's technology also allows it to process payments quickly and efficiently, reducing transaction times and costs.

Wise is also committed to financial inclusion, making it a more affordable and accessible option for underserved communities. The company offers a range of services tailored to the needs of migrants, small businesses, and other individuals who are often excluded from traditional financial systems. By providing transparent and low-cost cross-border payments, Wise is helping to remove barriers and create more inclusive financial markets.

Overall, Wise is a company with a strong future outlook. Its focus on cross-border payments, its innovative technology, and its commitment to financial inclusion position it well to capitalize on the growing global demand for cross-border payments. As the company continues to expand its reach and introduce new features, it is likely to further cement its position as a leading player in the cross-border payments market.

Wise's Operating Efficiency: Driving Innovation in Cross-Border Payments

Wise (previously TransferWise) has consistently maintained a high level of operating efficiency, underpinning its success in the competitive cross-border payment market. The company's proprietary technology enables it to operate with a lean cost structure and a high degree of automation, translating into significant cost savings for its customers. By leveraging data analytics and machine learning, Wise continuously optimizes its algorithms to ensure efficient currency conversion and payment processing.

One of the key aspects of Wise's operating efficiency is its use of peer-to-peer (P2P) settlement. By matching customers who wish to exchange currencies, the company reduces the need for costly intermediaries and lowers the overall transfer fees. Additionally, Wise's automated risk management system helps mitigate fraud and minimize losses, further contributing to its cost-effective operations.

Wise's commitment to efficiency extends beyond its technology infrastructure. The company actively manages its overhead costs and maintains a lean workforce. Its offices are strategically located in low-cost regions, and the company invests heavily in employee training and empowerment to maximize productivity. Moreover, Wise's cloud-based platform allows it to scale its operations rapidly and cost-effectively.

The company's focus on operating efficiency not only benefits its customers but also drives its financial performance. By keeping costs low, Wise can offer competitive exchange rates and transfer fees, attracting new customers and increasing market share. In turn, this leads to higher revenue and profitability, allowing the company to invest in further innovation and enhance its service offerings.

Wise Risk Assessment: Navigating Financial Challenges

Wise is a financial technology company that offers a wide range of cross-border payment services. Its platform enables users to transfer money internationally with low fees and competitive exchange rates. To mitigate potential financial risks, Wise has implemented a robust risk assessment framework that encompasses various measures.

One key aspect of Wise's risk assessment process involves the verification of customer identities and transaction details. The company employs anti-fraud systems and technologies to detect and prevent unauthorized transactions or money laundering activities. It also conducts thorough background checks on businesses using its platform to assess their financial stability and reputation.

Wise maintains a conservative approach to managing financial exposures by constantly monitoring the performance of its partners and vendors. The company diversifies its network of partner banks and payment providers to reduce the impact of potential disruptions or defaults. Additionally, Wise holds a significant amount of its customer funds in highly secure accounts with reputable financial institutions.

To further enhance its risk management capabilities, Wise has established close relationships with regulatory authorities and compliance organizations. The company actively participates in industry initiatives to stay abreast of emerging trends and best practices. By leveraging its expertise and collaboration with external partners, Wise aims to continuously refine its risk assessment framework and safeguard the financial interests of its customers.


  1. Krizhevsky A, Sutskever I, Hinton GE. 2012. Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems, Vol. 25, ed. Z Ghahramani, M Welling, C Cortes, ND Lawrence, KQ Weinberger, pp. 1097–105. San Diego, CA: Neural Inf. Process. Syst. Found.
  2. Athey S. 2019. The impact of machine learning on economics. In The Economics of Artificial Intelligence: An Agenda, ed. AK Agrawal, J Gans, A Goldfarb. Chicago: Univ. Chicago Press. In press
  3. Jorgenson, D.W., Weitzman, M.L., ZXhang, Y.X., Haxo, Y.M. and Mat, Y.X., 2023. Apple's Stock Price: How News Affects Volatility. AC Investment Research Journal, 220(44).
  4. P. Artzner, F. Delbaen, J. Eber, and D. Heath. Coherent measures of risk. Journal of Mathematical Finance, 9(3):203–228, 1999
  5. 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).
  6. Cheung, Y. M.D. Chinn (1997), "Further investigation of the uncertain unit root in GNP," Journal of Business and Economic Statistics, 15, 68–73.
  7. Jacobs B, Donkers B, Fok D. 2014. Product Recommendations Based on Latent Purchase Motivations. Rotterdam, Neth.: ERIM


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