Date: Wednesday, August 29, 2018
10:00am-11:40am PT / 1:00pm-2:40pm ET
Format: A BVR Webinar

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Featuring  (click image for bio)

Mark Shirley
V&L Consultants

About This Program

Financial forecasting is a sequential process that is dependent on the development of valid assumptions and reviewing data integrity as the model is developed and evaluated. A systematic approach to assembling and evaluating the data based on the design objectives and assumptions are critical. In short, forecasting is the foundation of your valuation. What happens when your initial perceptions and observations require revision during the process to achieve the design objectives of the model? Mark Shirley will illustrate a systematic and ordered approach to developing a financial forecast model and advise on ways to reduce the occurrence of systemic design errors. Model design begins with identifying the objectives and developing the assumptions fundamental to the financial model. Learn to assemble the data, incrementally evaluate, and document each stage of your model development. With practical Excel-based examples, see the development of a simple financial model based on this systematic approach.


    • Getting started:
      • Define the modeling objectives
      • Developing the assumptions
    • Sufficient relevant data
    • Sample size
      • Evaluate data integrity and reliability
    • Building the model
    • Designing the model to address the objectives or stated problem
    • Continuity with historic data
    • Integrated progressive sub-models
      • Movable and scalable models
    • Evaluating precision
      • Precision vs. Reasonable certainty
      • Establishing a baseline
      • Minimizing forecasting errors
    • Identifying issues
      • Data based errors
    • Calculation Errors
    • Outlier values
      • Anomalies and random events
      • Common sense and professional judgement

Learning Objectives

  • Define the modeling objectives and develop forecast assumptions.
  • Describe the critical importance of sufficient relevant data (quantity and quality of sample)
  • Illustrate the approach to financial modeling as a series of progressive sub-models
  • Identify outliers, anomalies, and random elements in the assembled data and output
  • List the elements of constructing a movable and scalable financial forecast which is an extension of the historic data

Single Connection Policy

Admission to this event authorizes one computer and phone connection for one location. These connections may be transferred users and/or locations. Multiple concurrent connections for a single admission registration are not allowed.

Multi-User CPE Policy

Admission to this program includes one CPE certificate for one individual. Any additional listeners requesting CPE must pay a processing fee assessed at the completion of the online CE survey for this course.

CPE Processing Fees may be bypassed by entering a valid, unused CPE Authorization Code (for single event purchasers) or by logging into BVR's website (for subscribers to BVR's Training Series).

CPE Information

Prerequisites: Knowledge of Business Valuation
Program Level: Advanced
Preparation Required: None
Delivery Method: Group Internet-Based
Recommended CPE: 2 Credit Hours (Accounting Technical)

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