Problem
Statement

Considering the high complexity of M&A processes, integrating both quantitative and qualitative research can prove to be highly beneficial in better examining and predicting M&A scenarios.

You will build an AI-ML algorithm with the capability to predict potential M&A action of corporations in North America region

You are expected to start with the listed companies in major stock exchanges of the USA, namely NYSE, NASDAQ, S&P 500, DJIA, as the base set of companies

Desired
Outcomes

Eligibility
Criteria

  • Enterprise-relevant Fintech startups – based out of/established in India
  • Participants should have strong domain understanding of M&A scenarios
  • Participants should have AI/ML expertise
  • Registration should be on behalf of Start-ups / Scale-ups, individual participation is not allowed

Validation

There will be two levels of validation to qualify the outcomes

  • Self-Validation

    Testing data to be used for validating the model’s performance ability. For example, “How many of the predicted M&A eventually materialled on predicted lines?”

  • Fidelity Validation

    Fidelity validation will be based on the F1-score of the model and the final presentation to the jury

  • Potential co-productization of the solution

  • Recognition at an exclusive Fidnovate event

  • Cash prize for the winners
    Winner – INR 10 Lakhs
    Runner-up – INR 5 Lakhs

Benefits

  Important Milestones

Data to be used

  • Publicly listed companies that are a part of US stock exchanges — NYSE, NASDAQ, S&P 500, DJIA identified as the base set of companies.
  • Historical M&A deals performed by these companies to be extracted from credible sources, classified as merger or acquisition, MM-YYYY of deal & deal value. Historical data could date back to as long as available.
  • Data including quantitative factors like Company demographics, Financial performance, Economic factors, and Qualitative data elements like News scan, Social Media to be used as information points.
  • The expected time frame during which performance is expected to materialize, ranges from months to years, depending on the nature of the goals, firm size, and integration.
  • Data should be extracted/scraped from credible sources. Please indicate your methodology in the initial approach note submitted.
  • The veracity of data used in the algorithms should be verified on a sampling basis, by comparing against internal sources of information available at FMR India.
  • Feature engineering (arrived at by manipulation of extracted data elements) will have to lead to variables that are not surrogates of the outcomes, like M&A deal happening or the M&A deal value.
  • Data points used in building the algorithm on the training set should be applied to the test set to check the performance of the model.

Data veracity & feature engineering

  Leadership Insights

  FAQs

  • How to participate in FIDNOVATE?

    Here are the steps you need to follow to participate:

    1. 1. Share your expression of interest in the website, register yourself, and your fellow team members
    2. 2. Join us for the Reverse Pitch event on November 11th
    3. 3. Finally, share your approach note on or before the deadline of 29th Nov in the prescribed template
  • What are the major milestones with planned start and completion dates?

    From the date of launch, you will have four weeks to submit your approach note. The teams qualifying for the next round will have ten weeks to build the AI model solution to the problem statement. There will be a midpoint check-in by the Core Team to get a sense of the progress made.

  • Where should the models be built? For example, on Cloud, personal laptops etc.?

    Participants can use any platform to build their model. Local desktops/laptops, company HVD/VPN/Virtual Desktop, Cloud Platforms. But to qualify for final evaluation, you must be able to upload the codes on the platform created by the organizing team. So, plan accordingly based on your company’s protocols and firewall permissions.

  • What are the programming languages that can be used for the algorithm defining purpose?

    You can use any programming language and recognized software that you are comfortable with. Please mention in the approach note about the programming language and software you intend to use.

  • Can we submit multiple approaches /ideas/options in our approach note?

    Yes, your approach note can include any number of options, but there can be only one file uploaded.

  • What are the evaluation criteria for qualifying the approach notes and the final solutions?

    There will be a panel of judges for evaluating the approach note the finale submission. While the information pointers outlined in the approach note template will form the basis, the evaluation criteria will be shared separately at the time of Reverse Pitch event.
    All shortlisted teams will then be contacted by the organisers and further details on the main event will be shared. The final solution will have both quantitative and qualitative metrics as a part of the selection criteria. Evaluation criteria will be shared

  • What do I need to include in the approach note?

    We will share a template with the selected participants. The participants will be required to use the template shared to capture information points to outline their approach.

  • Who can participate in this event? Are there any prerequisites?

    To participate, you should be an employee of a company and you must use your organization’s business email in order to register. Individual participants are not allowed. You must register as a team along with your fellow team members.

  Contact Us

Get in Touch – i2bfidnovate@nasscom.in