Новый подход к оценке функционирования системно значимой платежной системы ЦБ
This article examines differen types of risks in payment system of Russia. The research of BESP system can help to predict different risks, that can be faced by new-organized russian payment system. This article provides reader with idea that Russian payment system should be analyzed in another way (not like Visa or MasterCard). This means that it should be created new methodology in the sphere of risk estimation.
The pace of global recovery remains weak. More than twelve months since the G-20 summit in Los Cabos, G-20 members are laboring their way towards “Strong, Sustainable and Balanced Growth” in a clouded world economic outlook, with the eurozone in a state of recession, a combination of policy stalemate and across the board fiscal consolidation constraining growth in the U.S., and emerging markets and developing countries experiencing a clear slowdown compared to their rapid pre-crisis expansion. A durable recovery that creates good jobs, which G-20 leaders agreed to cooperate for in September 2009, proves to be an elusive objective. Fiscal consolidation acts as a drag on economic recovery and the G-20’s capacity to deliver on the growth and jobs agenda is questioned by its citizens. This calls for the G-20 members’ commitment to a balanced and coordinated mix of policies and instruments, reflective of the state of their economies, which would gradually strengthen economic growth and promote macroeconomic stability. Responding to global and domestic priorities, Russia has placed growth and jobs at the core of the G-20 agenda within the fundamental question of what should be the main macroeconomic and financial policy requirements for growth.
The paper considers the key types of up-to-date interbank payment systems. Their main structural features, operational pro and con, operational risks are analyzed. A special attention is paid to the factors prompting a rapid development of RTGS used for large and urgent money transfers. Different forms of further upgrading business process in payment infrastructure based on the modern technology are shown.
Combination of the offered volume on the REPO auction with the Bank of Russia and the demand for it produce powerful signaling mechanism for the interbank money market. In order to have a possibility to emit an unintended signal there is a need for a robust estimator of the demand. This paper proposes an approach to produce such an estimator through an ensemble of logistic and linear regression models. This estimator successfully emulates many of the key features of the process.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.