Wednesday webinar at one: Financial modeling for renewable projects

Wednesday 27 April 2022 | 13:00 - 13:40 | Webinar

Investments in renewable projects globally continue with an upward momentum. The ability to critically appraise renewable investments such as solar panel and windfarm projects is an increasing desired skill.

This webinar will provide an overview of the differences between building a financial model for corporate finance purposes and building a model for project finance needs. It will also provide an insight into project finance modeling steps including an identification of terms, scheduling, the creation of timing flags and return metrics.

The webinar will be suitable for anyone currently involved in or looking to work in renewable project finance.

 Learning outcomes:

  • Explain project finance modeling terminology
  • Schedule the different phases of project finance activity with timing flags
  • Explain the steps involved in a building a project finance model
  • Calculate return metrics suitable for project finance

Where recordings are made, these are a member benefit that are accessed through the member-only platform, CFA UK Discover.

Timings

Registration: 12:55

Event: 13:00 - 13:40

CPD Points: 0.75

Speakers

Justin Thomas, CFA, Director and Senior Instructor, AMT Training

AMT Training are a global specialist financial modeling training provider to the financial services industry with clients that include the investment banks, private equity firms, sovereign wealth funds and leading business schools. 

Justin as a senior instructor facilitates training in areas of financial statement analysis, valuation, financial modeling, deal structuring for M&A and LBO transactions, real estate and project finance deals. 

Justin instructs globally both face to face and in virtual classrooms often with sessions in London, Europe, US, Middle East and Asia while playing a leading role to ensure public course offerings match current skills demand.

Click here to view our event terms and conditions.