“Beyond M&A, Financial Modelling & Company Valuation” is an Executive Program which analyzes the impact of Artificial Intelligence on Financial Modeling, Company Valuation and M&A transactions. The Program details how AI is transforming the methodologies used to model and value companies through much more accurate predictive analysis of future cash flows, improving efficiency and risk prediction and overcoming the limitations of traditional methods. It also discusses how other technologies such as language analysis (NLP) can assess market sentiment towards a company and its impact on valuation. It also provides a practical overview of the latest trends in M&A, and how Artificial Intelligence and other technologies are transforming aspects such as due diligence, target selection, risk and opportunity identification, as well as the merger integration process.

MERGERS AND ACQUISITIONS, FINANCIAL MODELING AND BUSINESS VALUATION

Features

DURATION: 10 weeks (8 weeks of academic content and 2 weeks of development and resolution of practical cases).

CASE STUDIES: Throughout the program, there will be several case studies in which students will be able to learn about the real application of the knowledge acquired, as well as the best practices through the analysis and study of successful experiences.

Objectives

  • To define the main factors affecting company valuation today in an environment of geopolitical uncertainty, as well as to review the average EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization) multipliers being used by companies in the main sectors.
  • Analyze the traditional methods of company valuation most commonly used today (DCF, Comparable Multiples, or Ratio Analysis), their limitations and the disagreements between them. Moreover, show in detail how these limitations can be solved through the use of machine learning and artificial intelligence tools.
  • Explain how algorithms manage to deal with a volume of data that is impossible to handle through spreadsheets.
  • Discuss the advantages of real-time analysis of multiple scenarios through the modification of inputs.
  • Emphasize the importance of integrating, through new technologies, financial and non-financial information in the valuation of companies, such as Natural Language Processing (NLP), or the Large Language Model (LLM) that analyze consumer behavior, loyalty, or public perception of the company.

Who is this program for?

  • Investment Banking and M&A Professionals and Consultants

  • Private Equity and Venture Capital Professionals

  • Equity Analysts

  • Financial and Investment Analysts

  • Individual and Institutional Investors

  • Family Offices

  • Independent Valuers and Consultants

  • Corporate Financing Funds

  • Data management and processing responsibles

  • Chief Financial Officers (CFOs) and Corporate Strategy Executives

  • Compliance Professionals

  • Chief Innovation and Technology Officers (CIOs, CTOs)

  • Digital Transformation Consultants

  • Entrepreneurs and Startup CEOs

  • Corporate Lawyers and Law Firms Specializing in M&A

  • Business Strategy Consultants

THE OBJECTIVES OF THE PROGRAM

Analyze the current context and recent history of the M&A market.

Identify the factors that are conditioning this market.

To study the volume and number of M&A transactions, as well as their prospects in the main sectors: Healthcare, Pharmaceuticals and Health Sciences, Financial Services, Technology and Telecommunications, Consumer and Industry.

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  • ➞To study the influence of technology on M&A transactions and how Big Data and Artificial Intelligence are transforming the processes of due diligence, risk detection and quantification, and company integration.
  • ➞Understand how Artificial Intelligence can reduce repetitive tasks, minimize human error, predict and detect corporate risks and fraud, streamline due diligence, uncover synergies, and anticipate business trends and opportunities.
  • ➞Gain deeper insights into the analysis of risks associated with technology M&A transactions, including cybersecurity threats, technology integration challenges, and talent management risks.
  • ➞Learn through algorithms to value a company, to predict the evolution of its financial statements, or to select target companies or sectors.
  • ➞To study how technology can facilitate, value and quantify the incorporation of ESG criteria in M&A transactions.
  • ➞Analyze how Artificial Intelligence can help in the integration processes of merged companies.
  • ➞To learn about the so-called “Crypto Mergers” through the use of Blockchain technology.
  • ➞Understand how information gathering through NLP (Natural Language Processing), integration between multiple AI platforms or the implementation of Virtual Data Rooms (VDR) can help in M&A transactions.
  • ➞To learn about the advantages of using NLU (Natural Language Understanding) technology in due diligence of LBO transactions.
  • ➞Analyze the challenges facing Artificial Intelligence in M&A transactions: data protection, biases in algorithms, regulatory compliance, as well as transparency and ethics in its use.
  • ➞To conclude, it is essential to understand that the future of M&A operations lies in a digital environment where automation and digitization will play an increasingly important role, optimizing processes and enhancing strategic decision-making.

METHODOLOGY

The Executive Program is available in both online and hybrid formats, combining virtual learning with in-person sessions. For corporate clients, the format is fully flexible and can be customized to meet specific organizational needs.

INDEX

In this context, trends are analyzed and the most disruptive and innovative strategies are identified through the study of multiple case studies, which help reveal the key factors driving success or failure for companies and financial institutions.

DURATION

The Executive Program runs for 8 weeks (2 months). For corporate clients, the duration is flexible and can be adapted to meet specific organizational needs..

CASE STUDIES

Students will examine multiple case studies throughout the program, gaining insights into the practical application of course concepts and the best practices based on successful case outcomes.

WHO IS THIS PROGRAM AIMED AT?

– Investment Banking Professionals

– Boutiques specialized in “Middle Market” operations

– Financial Management (CFO)

– Corporate Strategy Managers

– Private Equity and Venture Capital Professionals

– Auditors and Compliance Professionals

– Chief Innovation and Technology Officers ( CIOs, CTOs )

– Individual and Institutional Investors

– Family Offices

– M&A Boutiques

– Independent consultants specialized in digital transformation

– Financial Institutions and Funds specialized in Acquisition Financing

– Data management and processing managers

– Corporate Lawyers and Legal Advisors specializing in M&A

– Business Strategy Consultants

– All those interested in the application of Artificial Intelligence in Mergers and Acquisitions operations.

PROGRAM COORDINATORS

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