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Влияние поведенческого цикла на формирование денежных потоков // Impact of the behavioral Cycle on Cash Flow Formation

Author

Listed:
  • V. Maslennikov V.

    (Financial University)

  • A. Larionov V.

    (Financial University)

  • В. Масленников В.

    (Финансовый университет)

  • А. Ларионов В.

    (Финансовый университет)

Abstract

This study highlights the mechanisms of the behavioral cycle impact on the cash flows generation. The need to develop original approaches to the analysis of the behavioral cycle associated with the dominant behaviors change demonstrates the relevance of the research. The aim of the study is to determine the mechanism of the behavioral cycle impact on the actions of economic entities. The authors use the method of statistical analysis of the Rosstat data from 1998 to 2018 to test two hypotheses: 1. The behavioral cycle impacts the distribution of household income between consumption, savings, and investment; 2. The actions of economic entities with active behaviors do not always lead to further actions of economic entities with an adaptive and reactive type of behavior. The study examines the structure of the household income use and the dynamics of the index of expected changes in the economic situation in Russia in a year. The behavioral cycle has been shown to have a direct impact on consumption and investments. The economic actions of the entities are influenced by the formed dominant behaviors, as well as the macroeconomic conditions. The authors concluded that the behavioral cycle is not able to change the structural imbalances in the economy, however, it can increase their potential impact, since it facilitates the adoption of certain economic decisions by economic entities and largely determines the dynamics and direction of cash flows in financial markets. The behavioral cycle reflects the moods and expectations of economic entities. The behavioral cycle change occurs due to the significant actions performed by economic entities with active behaviors aimed at changing the external environment. The results of the study demonstrate the feasibility of developing countercyclical mechanisms for smoothing out socially unfavorable outcomes of the activities of economic entities at various phases of the behavioral cycle. The authors propose to monitor the phases of the behavioral cycle based on the analysis of the cash flow generation. Авторы раскрывают механизмы влияния поведенческого цикла на формирование денежных потоков. Актуальность исследования обусловлена необходимостью разработки оригинальных подходов к анализу феномена поведенческого цикла, связанного с изменением доминирующих типов поведения. Цель исследования — определение механизма влияния поведенческого цикла на действия экономических субъектов. Авторы используют метод статистического анализа данных Росстата с 1998 по 2018 г. для проверки двух выдвинутых гипотез: 1. Поведенческий цикл приводит к изменению распределения доходов домохозяйств между потреблением, сбережением и инвестициями. Действия субъектов с активным типом поведения не всегда приводят к осуществлению последующих действий со стороны субъектов с адаптивным и реактивным типом поведения. Проанализирована структура использования денежных доходов домохозяйств и динамика индекса ожидаемых изменений экономической ситуации в России через год. Доказано, что поведенческий цикл оказывает непосредственное влияние на показатели потребления и инвестиций. На экономические действия субъектов оказывают воздействие сформированный доминирующий тип поведения, а также сложившиеся макроэкономические условия. Сделан вывод, что поведенческий цикл не способен изменить структурные дисбалансы в экономике, однако может усилить их потенциальное воздействие, поскольку способствует принятию экономическими субъектами определенных экономических решений и в значительной степени определяет динамику и направление движения денежных средств на финансовых рынках. Поведенческий цикл отражает настроения и ожидания экономических субъектов. Смена фазы поведенческого цикла происходит из-за совершения значимых действий субъектами с активным типом поведения, направленных на изменение внешней среды. Результаты исследования демонстрируют целесообразность разработки контрциклических механизмов сглаживания общественно неблагоприятных последствий деятельности экономических субъектов на различных фазах поведенческого цикла. Авторы предлагают осуществлять мониторинг фаз поведенческого цикла на основе анализа формирования денежных потоков.

Suggested Citation

  • V. Maslennikov V. & A. Larionov V. & В. Масленников В. & А. Ларионов В., 2020. "Влияние поведенческого цикла на формирование денежных потоков // Impact of the behavioral Cycle on Cash Flow Formation," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 24(5), pages 100-111.
  • Handle: RePEc:scn:financ:y:2020:i:5:p:100-111
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    References listed on IDEAS

    as
    1. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    2. Docherty, Peter & Wang, Gehong, 2010. "Using synthetic data to evaluate the impact of RTGS on systemic risk in the Australian payments system," Journal of Financial Stability, Elsevier, vol. 6(2), pages 103-117, June.
    3. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
    4. Schmiedel, Heiko & Hasan, Iftekhar & De Renzis, Tania, 2013. "Retail payments and the real economy," Working Paper Series 1572, European Central Bank.
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    More about this item

    Keywords

    E42; D91; behavioral cycle; cash flows; uncertainty; types of behavior; economic growth; Bank of Russia; monetary policy; поведенческий цикл; денежные потоки; неопределенность; типы поведения; экономический рост; Банк России; денежно-кредитная политика; монетарная политика;
    All these keywords.

    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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