CRESY Outlook: Agricultural Giant's Path Ahead

Outlook: Cresud ADS is assigned short-term B1 & long-term B3 estimated rating.
AUC Score : What is AUC Score?
Short-term Tactic1 :
Dominant Strategy :
Time series to forecast n: for Weeks2
ML Model Testing : Active Learning (ML)
Hypothesis Testing : Stepwise Regression
Surveillance : Major exchange and OTC

1Short-term revised.

2Time series is updated based on short-term trends.


Key Points

Cresud ADS is expected to experience moderate growth driven by its diversified agricultural operations and expanding real estate portfolio across Latin America. A key prediction is the continued impact of favorable commodity prices on its core agricultural segment. However, significant risks include volatility in regional economic and political conditions which can affect consumer demand and operational costs. Furthermore, fluctuations in currency exchange rates present a substantial risk to its international earnings and asset valuations. The company's ability to successfully integrate new acquisitions and manage its debt levels will also be critical determinants of future performance.

About Cresud ADS

Cresud American Depositary Shares represent ownership in Cresud S.A.C.I.F. y A., a leading Argentine agricultural company with extensive operations in agribusiness and real estate. The company is engaged in a wide range of activities, including cattle ranching, grain production, and the development and management of shopping malls and other commercial properties. Cresud's diversified business model positions it to capitalize on opportunities across various sectors of the Argentine economy.


With a significant landholding and a vertically integrated business structure, Cresud maintains a strong presence in the agricultural value chain. Its real estate segment complements its agribusiness operations, contributing to its overall financial stability and growth potential. Cresud's commitment to operational excellence and strategic expansion has established it as a key player in both the Argentine agricultural and real estate markets.

CRESY

CRESY Stock Forecasting Model: A Data-Driven Approach


As a collective of data scientists and economists, we have developed a sophisticated machine learning model to forecast the future performance of Cresud S.A.C.I.F. y A. American Depositary Shares (CRESY). Our approach leverages a comprehensive suite of quantitative and qualitative data, aiming to capture the multifaceted drivers influencing agricultural commodity prices, land asset values, and broader macroeconomic trends relevant to Cresud's operations in Argentina and the wider Latin American region. The model incorporates historical stock data, fundamental financial statements, key performance indicators such as crop yields and land acquisition metrics, and relevant commodity market data. Additionally, we are integrating sentiment analysis from financial news and regulatory filings to account for the impact of public perception and policy changes on the stock's trajectory. The primary objective is to provide a robust and reliable prediction of future stock movements, enabling informed investment decisions.


The core of our forecasting model is built upon an ensemble of machine learning algorithms, chosen for their ability to handle complex, non-linear relationships and temporal dependencies inherent in financial markets. We are employing a combination of Recurrent Neural Networks (RNNs), specifically Long Short-Term Memory (LSTM) networks, to capture sequential patterns in historical data, and Gradient Boosting Machines (GBMs) such as XGBoost and LightGBM for their predictive power and ability to handle a wide array of features. Feature engineering plays a critical role, with the creation of **lagged variables, moving averages, and volatility indicators** derived from both CRESY's historical performance and its underlying economic and market drivers. The model undergoes rigorous cross-validation and backtesting to ensure its accuracy and stability across different market regimes. Regular retraining and recalibration are planned to maintain its predictive efficacy as new data becomes available and market conditions evolve.


Our forecasting model for CRESY aims to provide actionable insights by identifying potential trends, periods of elevated volatility, and significant turning points. By analyzing the interplay between global agricultural demand, currency fluctuations, interest rate environments, and geopolitical events affecting the regions where Cresud operates, we can develop a more nuanced understanding of the stock's potential future trajectory. The model's outputs will be presented as a range of probable future values, accompanied by confidence intervals, to reflect the inherent uncertainty in financial forecasting. This **data-driven approach minimizes subjective biases** and provides a transparent framework for evaluating investment opportunities in Cresud's American Depositary Shares.


ML Model Testing

F(Stepwise 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(Active Learning (ML))3,4,5 X S(n):→ 8 Weeks R = r 1 r 2 r 3

n:Time series to forecast

p:Price signals of Cresud ADS stock

j:Nash equilibria (Neural Network)

k:Dominated move of Cresud ADS stock holders

a:Best response for Cresud ADS target price

 

For further technical information as per how our model work we invite you to visit the article below: 

How do KappaSignal algorithms actually work?

Cresud ADS 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%

Cresud Financial Outlook and Forecast

Cresud, a prominent agro-industrial and real estate company with significant operations across Latin America, presents a financial outlook shaped by its diverse business segments and the prevailing economic conditions in its operating regions. The company's core activities in agricultural production, particularly soybeans, corn, and cattle, are subject to global commodity price fluctuations and weather patterns. While these are inherently volatile, Cresud's scale and diversified crop portfolio offer a degree of resilience. Its real estate division, primarily focused on developing and managing shopping malls and other commercial properties, benefits from urbanization trends and consumer spending power. However, this segment is sensitive to economic downturns and shifts in retail behavior, particularly the ongoing impact of e-commerce. The company's financial performance is therefore a composite of these varied influences, demanding a nuanced assessment of its future trajectory.


Looking ahead, Cresud's financial forecast is likely to be influenced by several key drivers. On the agricultural front, global demand for food commodities, particularly from emerging markets, is expected to remain robust, providing a supportive backdrop for crop prices. Advances in agricultural technology and sustainable farming practices could also contribute to improved yields and operational efficiency. For its real estate segment, the outlook hinges on economic growth and consumer confidence in countries like Argentina, Brazil, and Paraguay. Successful expansion and modernization of its shopping mall portfolio, coupled with strategic leasing, will be crucial for maintaining rental income and occupancy rates. Furthermore, Cresud's diversification into other sectors, such as financial services through its association with Banco Macro, offers additional avenues for growth and income generation, potentially offsetting some of the cyclicality inherent in its primary businesses.


The financial strength of Cresud is also contingent on its capital management strategies and ability to access funding. As a company with significant capital expenditure requirements for both agricultural expansion and real estate development, prudent debt management and the ability to secure favorable financing terms will be paramount. The company's track record of reinvesting profits and managing its balance sheet will be closely scrutinized by investors. Moreover, regulatory environments and macroeconomic policies in its key markets can significantly impact profitability, through measures such as export taxes, currency controls, or interest rate policies. Navigating these external factors effectively will be critical for sustained financial health and growth. The company's commitment to environmental, social, and governance (ESG) principles is also becoming increasingly important in attracting investment and maintaining its social license to operate.


Considering these factors, the financial outlook for Cresud is generally cautiously positive, with potential for sustained growth. The fundamental demand for agricultural products and the ongoing development of its real estate holdings in growing economies provide a solid foundation. However, significant risks remain. Volatility in commodity prices, adverse weather events, and geopolitical instability could negatively impact agricultural earnings. Economic slowdowns or political uncertainty in its core Latin American markets pose a substantial threat to the real estate segment's performance and overall consumer spending. Currency fluctuations and inflation in Argentina, in particular, represent persistent challenges that could erode profitability and complicate financial planning. Therefore, while the long-term trend appears favorable, investors should remain aware of the inherent volatility and operational risks associated with Cresud's business model and its operating geographies. The company's ability to adapt to changing market conditions and effectively manage these risks will ultimately determine its success.



Rating Short-Term Long-Term Senior
OutlookB1B3
Income StatementB1C
Balance SheetBa2C
Leverage RatiosCaa2Ba3
Cash FlowCaa2Caa2
Rates of Return and ProfitabilityBaa2Caa2

*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?

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