Development Of Composite Indicators Of Cyclical Response In Business Surveys Considering The Specifics Of The ‘Covid-19 Economy’
Venture capital (VC) provides financial and managerial support for new innovative ideas at the initial stages of commercialization. It has helped to find the market for many radical innovations of 20th century, including personal computer, Internet and genetic engineering.
As a part of market economy venture business was not stable from the very beginning. The periods of rapid growth alternated with deep recessions. However each time VC revived anew as the Phoenix due to its very important function in modern knowledge-based economy.
This report presents an analysis of statistical data that prove the existence of several cycles in VC dynamics in the USA and the Great Britain. The main factors of these cycles formation are discussed. The author proposes two possible scenarios of development of VC market for the first 30 years of the new 21st century. A hypothesis is put forward about the relation between VC cycle's amplitude and a phase of Kondratieff's cycle.
Background and motivation for a study of business cycles, business tendency surveys (BTSs), and cyclical indicators in the BRICS countries are specified. The main concepts and problems involved in monitoring and forecasting business cycles in emerging countries and countries in transition are overviewed; the importance of the experience of the BRICS in this context is demonstrated; different examples of the interaction between business cycles and social and political spheres are outlined. At last, the structure of the book is adduced.
The objective of this study is to develop a system of leading indicators of the business cycle turning points on a wide range of countries, including Russia, over a more than thirty years period. We use a binary choice model with the dependent variable of the state of economy: the recession, there is no recession. These models allow us to assess how likely is the change of macroeconomic dynamics from positive to negative and vice versa. Empirical analysis suggests that the inclusion of financial sector variables into equation can significantly improve the predictive power of the models of the turning points of business cycles. At the same time, models with financial and real sector variables obtained in the paper outperform the “naïve” models based only on the leading indicator of GDP in the OECD methodology due to either a lower level of noise (recession model) or a higher predictive power (model of the recovery from recession).
The paper represents the review of contemporary approaches to the analysis of financial market imperfections and financial crises and their impact on fluctuations of the key macroeconomic variables during the business cycle as well as the transmission mechanism of financial shocks on the real economy in the framework of New Keynesian dynamic stochastic general equilibrium models. These models are widely used for the evaluation of monetary policy effects on macroeconomy and constitute the theoretical base for elaboration the optimal monetary policy not only during the crisis but for the further perspective. The construction of such models types for different economies including the Russian economy requires considering the institutional features and specific development and functioning characteristics of the of the national financial sector and economy as a whole.
The article discusses the history and theory of economic olympic business cycles, their unity and difference. It shows how they differ from the classic business cycle. The authors analyze the role of IOC in olympic business cycle.
In large countries, the development of national macroeconomic business cycles clearly involves regional nuances that, as a rule, fall outside scholars’ fields of vision, especially when monitoring the current economic situation. Regional statistics published by the Russian Federal State Statistics Service (Rosstat) are reviewed in terms of quality, and radical disagreement between “month-on-month” and “year-on-year” monthly statistics is identified. In view of this, an original method is proposed for estimating the level of regional economic activity (REA), based on monthly official regional statistics in five key sectors of the Russian economy: industry, construction, retail trade, wholesale trade, and paid services for the population. This method transforms current “year-on-year” growth rates into specially constructed dichotomous variables, which eliminate the excessive volatility and inaccuracy of the initial time series.
On these grounds, REA indices are estimated for all Russian constituent entities for the period from January 2005 to November 2017. Composite REA indices for all five economic sectors, eight federal districts, and Russia as a whole are then calculated. Methods for visualising multidimensional regional data are also proposed. They allow us to track the regional peculiarities of the Russian economy and to discern the current phase of the business cycle more accurately and without any additional lag. Several illustrative examples for the possible application of these indices in real-time monitoring and analyses are provided.
This thought-provoking monograph analyzes long- medium- and short-term global cycles of prosperity, recession, and depression, plotting them against centuries of important world events. Major research on economic and political cycles is integrated to clarify evolving relationships between the global center and its periphery as well as current worldwide economic upheavals and potential future developments. Central to this survey are successive waves of industrial and, later, technological and cybernetic progress, leading to the current era of globalization and the changes of the roles of both Western powers and former minors players, however that will lead to the formation of the world order without a hegemon. Additionally, the authors predict what they term the Great Convergence, the lessening of inequities between the global core and the rest of the world, including the wealth gap between First and Third World nations.
Among the topics in this ambitious volume:
· Why politics is often omitted from economic analysis.
· Why economic cycles are crucial to understanding the modern geopolitical landscape.
· How the aging of the developed world will affect world technological and economic future.<
· The evolving technological forecast for Global North and South.
· Where the U.S. is likely to stand on the future world stage.
Economic Cycles, Crises, and the Global Periphery will inspire discussion and debate among sociologists, global economists, demographers, global historians, and futurologists. This expert knowledge is necessary for further research, proactive response, and preparedness for a new age of sociopolitical change.
This volume focuses on the analysis and measurement of business cycles in Brazil, Russia, India, China and South Africa (BRICS). Divided into five parts, it begins with an overview of the main concepts and problems involved in monitoring and forecasting business cycles. Then it highlights the role of BRICS in the global economy and explores the interrelatedness of business cycles within BRICS. In turn, part two provides studies on the historical development of business cycles in the individual BRICS countries and describes the driving forces behind those cycles. Parts three and four present national business tendency surveys and composite cyclical indices for real-time monitoring and forecasting of various BRICS economies, while the final part discusses how the lessons learned in the BRICS countries can be used for the analysis of business cycles and their socio-political consequences in other emerging countries.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.
The paper studies a problem of optimal insurer’s choice of a risk-sharing policy in a dynamic risk model, so-called Cramer-Lundberg process, over infinite time interval. Additional constraints are imposed on residual risks of insureds: on mean value or with probability one. An optimal control problem of minimizing a functional of the form of variation coefficient is solved. We show that: in the first case the optimum is achieved at stop loss insurance policies, in the second case the optimal insurance is a combination of stop loss and deductible policies. It is proved that the obtained results can be easily applied to problems with other optimization criteria: maximization of long-run utility and minimization of probability of a deviation from mean trajectory.