Training Project Finance Modelling - BBM TRAINING AND CONSULTING

Training Terbaru

Jadwal Training 2020

Start Date

Duration

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06 January 2020

1/2/3/5 Days

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06 January 2020

1/2/3/5 Days

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03 February 2020

1/2/3/5 Days

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02 March 2020

1/2/3/5 Days

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27 April 2020

1/2/3/5 Days

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18 May 2020

1/2/3/5 Days

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22 June 2020

1/2/3/5 Days

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20 July 2020

1/2/3/5 Days

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17 August 2020

1/2/3/5 Days

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14 September 2020

1/2/3/5 Days

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12 October 2020

1/2/3/5 Days

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09 November 2020

1/2/3/5 Days

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01 December 2020

1/2/3/5 Days

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Training Project Finance Modelling

 Training Project Finance Modelling


INTRODUCTION

This course will learn about best practices infinancial modelling as well as advanced project finance modelling concepts.

PROGRAM OBJECTIVES
  • Introduce about Project Finance, including the reasons for using it and the key characteristics of a Project Finance transaction
  • This course hopefully can increase awareness of best practice modelling methodologies and consistency of  approach in the context of a Project Finance transaction
  • Improve the team’s Ms Excel efficiency
PROGRAM OUTLINE
  1. 1. Master proven techniques for best practice modelling resulting in better models built faster

    • Learn to work with the powerful and easy to follow SMART best practice modelling methodology
    • Discuss and identify good vs bad modelling techniques using real-life examples
    • Greatly increase consistency amongst your team in calculation technique and presentation

    2. Discuss the life-cycle of a project finance model, from screening and structuring to financial close

    • Learn the various structural phases of project finance
    • Understand when to use which phase
    • Build your understanding of the building block components, key details and challenges of a transaction model
    • Understand the design flow of the model builder, learn how to know where to go next

    3. Develop a model structure that is robust and scalable that can evolve with a typical project or transaction

    • Establish key constants in the model using full scope of Excel range name function
    • Build a flexible timing structure using appropriate date functions and binary flags

    4. Construct modularised units that form the building blocks of a professional model including (but not limited to)

    • Capital Expenditure breakdown with contingencies controls
    • Production calculations with multi-path optionality on time-series schedules
    • Revenue build up with detailed pricing controls
    • Operational and maintenance expenses including fixed and variable items
    • Understand the structure of cashflow waterfalls and the importance of ‘seniority’
    • Focus on how to calculate Cash Flow Available for Debt Service
    • Learn how to layout line items in an efficient and easy to communicate way

    5. Understand the different types of circular references and how to avoid them

    • Integrate project finance term (operational) debt
    • Walk through of term debt structuring and annuity repayment through first principles
    • Inclusion of target Debt Service Coverage Ratio repayment functionality
    • Discussion of linear and bullet repayment structures in project finance

    6. Construct and analyse debt facilities for credit or investment decisions

    • Learn the importance of credit ratios and their purposes in analysis
    • Build commonly used ratios in banking and finance from first principles
    • Extract key metrics from ratios using a range of advanced Excel functions

    7. Calculate key returns results and understand the role of dividends policy

    • Discuss the reason and impact of dividends policy on valuations
    • Integrate internal rate of returns and NPV, understand role of the discount rate
    • Learn differences between NPV and XNPV functions and common errors in their application

    8. Take control of robust and rapid sensitivity and scenario analysis through powerful Excel techniques

    • Save time and deliver rapid analysis with our approach to scenario management
    • Use the scenario manager to test the model in all scenarios
    • Build confidence in your analysis through pre-programmed combinations of model inputs

     





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