During the lecture, Yevhen Pentsak focused on investment processes in companies. In particular, he touched on such issues as who should initiate investment proposals and who selects them, what path the adopted investment decision takes, etc.

The lecturer paid particular attention to the evaluation of investment results. After all, it helps to find out what did not work or failed in the adopted decision, and most importantly, it allows you to learn from mistakes.

Coordinating macroeconomic indicators at the top management level is equally important, which managers can later use in their proposals.

Critics of the lecturer experienced widespread use of financial formulas and a simplified approach to considering complex situations. In investment activity, this does not always work. In conclusion, each investment project should be regarded impartially, and its evaluation should be approached uniquely.

Yevhen Pentsak did not miss the topic of investment psychology or the results of the Stanford tests. And for practice, the course participants tried to find out which of the approaches to reducing energy consumption proposed in the task would be more profitable in ten years.

Investor and entrepreneur Mykhailo Patsan showed the course participants how to plan investment activities with the help of artificial intelligence using GPT chat. Based on the ability of the chat to remember previous answers, ask the right questions in a specific sequence, and upload their data, the participants and the lecturer created several investment portfolios.

In conclusion, Ivan Lozovy, an investor with 15 years of experience, spoke about his approaches to investing and examples from experience. Two pieces of advice that the lecturer kept coming back to during the lecture were that investing requires a strategy and constant monitoring of information and study of the company you are interested in and the industry as a whole.

Investment management: from theoretical material to own example