Igor Sokolov’s The Theory of Random Processes for Economists is a fascinating and in-depth study that opens up to readers the world of random processes and their applications in economics. This work will be a real find for students, graduate students and practicing economists who want to expand their knowledge in the field of mathematical statistics and probability theory, as well as for anyone interested in modern economic models. Sokolov, known for his work in applied mathematics and economics, offers readers a unique approach to the study of random processes. It not only explains theoretical aspects, but also illustrates them with concrete examples, which makes the material accessible and understandable. The book begins with the basics, gradually deepening into more complex concepts, which allows the reader to easily follow the author, even if he does not have deep knowledge in mathematics. One of the key topics addressed in the book is the impact of random processes on economic models. Sokolov demonstrates how uncertainty and randomness can influence decision-making in business, investment, and other areas of the economy. It explores important aspects such as risk, profitability and volatility, emphasizing that understanding random processes is essential for successful analysis and forecasting of economic phenomena. The book will be of particular interest to those studying economics at the graduate or postgraduate level, as well as to practicing economists and analysts working in the field of finance and statistics. It can attract the attention of those who are simply interested in economic processes and want to understand how randomness affects our lives and business. Sokolov's style is distinguished by clarity and logic. He skillfully combines theory with practical examples, which makes reading not only informative, but also fascinating. Readers familiar with his other works, such as Mathematical Methods in Economics or Probability Models in Finance, will appreciate his ability to explain complex things in plain language. The topics raised in the book are more relevant than ever. In an unstable economy, when uncertainty has become an integral part of business processes, understanding random processes becomes a necessary skill. Sokolov emphasizes the importance of risk analysis and the development of strategies based on probabilistic models, which makes the book a valuable resource for anyone who wants to be one step ahead in the world of economics. In conclusion, “The Theory of Random Processes for Economists” is not just a textbook, but a real find for all who seek to understand more deeply how randomness and uncertainty affect the economy. This book will become a reliable assistant in the study of complex economic concepts and will help readers develop the critical thinking necessary for successful analysis and decision-making in conditions of uncertainty. If you are looking for a book that combines theory and practice, and also offers a fresh look at economic processes, then Igor Sokolov’s work is exactly what you need.