Forecast challenges

Viewing 11 posts - 1 through 11 (of 11 total)
  • Author
    Posts
  • #36434
    Faisal Juhani
    Participant

    In a volatile market, how would you overcome the forecast challenges during the Financial DD especially when you don’t have enough historical data?

    #51373
    Mohanad Alzughaibi
    Participant

    I would assume you should have multiple scenarios.

    #52156
    Nathan Taylor
    Participant

    Agreed, you should construct models based on various scenarios (base, high, low) but ultimately you can never eliminate risk from poor forecasting. With limited historical data, commercial due diligence takes on an even greater role as it’s the only form of DD that is future looking.

    #52847
    Christopher Twible
    Participant

    I am facing that problem right now with COVID. It’s hard to believe any forecast given the changing nature of COVID and its impact on some industries. Volumes looked like they were recovering until Omicrom hit. I think buyers have a lot more execution risk right now and determining value is hard. Might be a short term problem but think some long term trends are starting to emerge. Think we need more scenarios!

    #55778
    Yanxuan Yang
    Participant

    I agree that modelling scenarios will help. In addition, if it comes to a point where it is too challenging to factor in various assumptions or if there are too many nuances to consider, perhaps it would also be good to apply an overall discount or to structure the transaction in stages.

    #56112
    Markus Gustafsson
    Participant

    In addition to model different scenarios. I would like to hear good explanations from management, preferably by numbers, why the actuals deviates from the forecast.

    #56187

    Putting scenarios is essential to understand how things will move in each possibility. Another key factor is bring in a third party experienced team and have their inputs with that regard. These inputs shall be validated internally by experienced personals as well.

    #60945
    Tee Hui Leng
    Participant

    Having different scenarios is important. Knowing the targeted customer list, strategy, tactic, action plan, assumptions and others behind each scenarios would help in increasing the forecast confidence level.

    #61044
    Andreas
    Participant

    Besides trying to understand the forecast and the data itself, it is as well essential to understand how the forecast hase been done in the past. Forecast doen not only reflect the market trends and opportunity, but often is a political document signed of by top managemnet. Once understood, who really has the experience of the market and understands trends well, you will create a forecast that comes close to reality. Further, keep always ideas for quick expansion in mind to backup a plan, once it becomes to volatile.

    #65102
    Prince Agyarko
    Participant

    In my opinion to reduce uncertainty in M&A, scenario analysis should be critically conducted for different outplays in the DD process.
    Essentially Legal and Environmental DDs are two areas that need to be keenly looked at during the DD process. The target company should be analyzed of any impending legal liabilities that might force it to payout future settlements. Legal liabilities such high litigation expenses and large settlement payouts can affect financial position of target company and may even force it into bankruptcy.
    It is therefore imperative for different scenario analysis in the DD process to separate current and future liabilities from assets of target company through a divisive merger to mitigate for these uncertainties.

    #66484
    Andreas Reger
    Participant

    Sensitivity analysis is certainly a requirement.
    In addition, historic performance during good and volatile years is an important factor. One might have to go back 5-10 years rather than just the customary 3 years to truly assess the performance of the company. Another important factor is the industry in which the company operates. Is it a historically recession proof industry or does it fluctuate.

    For example, if you are looking to buy an automotive supplier you have to be aware that they are highly cyclical and depend on the macro-economy.

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