EY CAFTA Corporate Bootcamp Batch 5

1. Currency risk and interest rate risk management

• What drives the currency risk market worldwide?
• How the currency risk function sits in various financial institutions? — understand roles and responsibility within the organization structure
• Understanding currency pairs and associated nomenclatures
• How currency risk arises in financial system:
  • Transactional risk, translation risk, economic risk
  • Type/nature of foreign currency exposure-balance sheet exposure and cash flow exposure
  • Collation and communication of exposure
• Currency hedging and related concepts:
  • Instruments and pricing-spot/cash /tom, forwards, options, currency risk swaps
  • Walkthrough of market terminals
  • Implication in currency risk due to cancellation, roll over, early utilization
  • Structured derivatives
  • Netting, natural hedge, leading, lagging, diversification
  • KPIs and KRIs as part of monthly/quarterly reporting
  • Fair value and hedge accounting for currency risk function
• How and what to interpret on currency risk from the annual report?
• Summarizing currency risk- risk incidence, risk measurement, risk mitigation and risk reporting
• A close peep into risk management policy and SOP
• How currency risk in various sectors is managed and what are the leading practices
• Deal life cycle in currency risk function
• Case studies in currency risk management

2. Liquidity management:

• How cash flows are prepared and what are the critical aspects to look at from effective management of cash flows:
  • Daily/Weekly/Monthly cash flows
  • Surplus/Deficit computation
  • Variance analysis
  • Cash flow forecasting techniques
  • KPIs in Cash flow management
  • Challenges in effective cash flow management
• How companies manage the banking relationship: 
  • Fund based and non-fund based facility
  • Sanction limits and utilization
  • Consortium vs. multiple banking
  • Bank relationship matrix
  • Bank account management
  • RAROC model and product pricing
• How credit rating agencies rate the instruments and understand how rating rationale is build
• How interest rate risk is managed globally 
• How short-term and long-term debt is raised and understand associated covenants and stress testing
• Understand various instruments for investment and assess credit risk, market risk and liquidity risk associated with them
• Understand how an insurance company manage the fund and related concepts
• Understand how a provident fund  and gratuity trust manage the fund and related concepts
• How and what to interpret on debt and Investment from the annual report
• Deal life cycle in debt and investment function
• How supply chain financing and trade finance impact business value chain
• Case studies in liquidity management
• GIFT City
  • Evolution of GIFT
  • GIFT vs. DIFC/DMCC vs. GTP - A Comparative Analysis
  • Finance Company: Understanding and Setup
  • IFSC Guidelines: Framework for Corporate Treasury
  • Centre Activities
  • Key Considerations for Setting Up a FC in GIFT City
  • Commodity Trading
  • Insurance
  • Case study

3. Treasury technology and analytics

• Introduction to treasury technology and analytics
  • Overview of treasury function
  • Importance of technology and analytics in treasury management
  • Objectives of the Training
• Fundamentals of treasury technology
  • Definition and scope of treasury technology
  • Types of Treasury Management Systems (TMS)
  • Key features and functions of TMS
  • Integration with ERP systems and other financial platforms
• Emerging technologies and its role in treasury management
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Use case on predictive analytics in cash forecasting and risk management
  • Robotic Process Automation (RPA)
  • Application Programming Interfaces (APIs) in treasury
  • Blockchain and Distributed Ledger Technology (DLT)
• Treasury analytics: tools and techniques
  • Data sources for treasury analytics and key performance indicators (KPIs) for treasury management. Data visualization tools for treasury reporting including Power Bi
• Implementing treasury technology solutions
  • Assessment of organizational needs and requirements
  • Vendor selection process for treasury
• Interactive exercises and group activities
  • Scenario-based simulations of treasury operations
  • Group discussions on technology adoption strategies and hands-on practice with treasury analytics tools
  • Implementation best practices and challenges and change management strategies for successful adoption 
• Case studies and real-world examples: 
  • Interactive exercises and group activities
  • Scenario-based simulations of treasury operations
  • Group discussions on technology adoption strategies
  • Hands-on practice with treasury analytics tools

4. Commodity Management- Setting up a hedge desk in India

• Understand FEMA framework for overseas hedging
• How to get RBI/AD bank approval
• AD bank documentation
• Understand compliance for ECBs and trade exposures
• How to define desk objectives and mandate
• How to structure FO, MO, BO
• Understand how to draft a commodity risk management policy
• How to onboard brokers and counterparties globally
• Understand regulatory and internal reporting processes

Carbon Credits

• Emissions trading systems (ETS) vs Voluntary carbon markets (VCM)
• Price volatility and market dynamics
• Allowance vs offsets
• Challenges of liquidity, transparency
• Trading instruments: futures, ETF’s etc
• Hedging carbon price risk
• Integrating carbon trading with corporate risk and sustainability strategy
• Investment decision framework for corporates

Modernizing CTRM

• Evolving role of CTRM as system of records
• How HFT impacts CTRM expectations
• Challenges of managing growing data volumes
• Real time feeds vs traditional EOD processes
• Understand how fragmented data can create risk blind spots
• Understand the concept of a layered CTRM
• How cloud native tools can enhance scalability
• How to enhance reporting speed and accuracy
• How enriched trade data improves decision making
• The use of AI/ML for predictive analytics in commodity trading
• Data governance principles for CTRM modernization 
• How zero trust architecture strengthens data security