Institution
Central Economics and Mathematics Institute
Facility•Moscow, Russia•
About: Central Economics and Mathematics Institute is a facility organization based out in Moscow, Russia. It is known for research contribution in the topics: Population & Foreign-exchange reserves. The organization has 297 authors who have published 580 publications receiving 6449 citations. The organization is also known as: Federal State Institution of Science Central Economics and Mathematics Institute of the Russian Academy of Sciences.
Papers published on a yearly basis
Papers
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TL;DR: A mathematical scheme covering major models of financial markets with transaction costs is developed and several results are proved including a criterion for the robust no-arbitrage property and a hedging theorem.
Abstract: This note deals with criteria of absence of arbitrage opportunities for an investor acting in a market with frictions and having a limited access to the information flow. We develop a mathematical scheme covering major models of financial markets with transaction costs and prove several results including a criterion for the robust no-arbitrage property and a hedging theorem.
15 citations
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TL;DR: In this article, a stochastic frontier approach based on a panel data for 2002-6 is used to estimate cost efficiency of the Kazakhstan and Russian banks, and it is found that the banks in both countries operate below their optimal size.
Abstract: In this paper, we estimate cost efficiency of the Kazakhstan and Russian banks. A stochastic frontier approach based on a panel data for 2002–6 is used. The Kazakhstan banking system is traditionally assumed to be more advanced compared to the Russian system. Empirically we do not find any significant differences in the cost efficiency of banks between these two countries during the period of our study. This result is found to be quite robust across several alternative and competing models. We also find that many of the banks in both countries operate below their optimal size.
15 citations
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TL;DR: A significant number of publications by both domestic and foreign authors have been devoted to the theoretical interpretation of barter exchange, its origins and consequences, and methods of overcoming it as discussed by the authors.
Abstract: The phenomenon of barter as the principal form for making domestic transactions in industry sharply distinguishes Russia from other countries with transitional economies. In recent years, barter in our economy has clearly demonstrated its stability, viability, and scope. There are a significant number of publications by both domestic and foreign authors that are devoted to the theoretical interpretation of this phenomenon, its origins and consequences, and methods of overcoming it.1 Approaches to the explanation of barter are influenced by virtually all the principal areas of contemporary economic theory—neoclassical macroeconomics, which relegates the main role in the appearance of barter to the factors of inflation, monetization, and interest rate levels; neoclassical microeconomics, which considers the quantitative aspects of barter exchange from the standpoint of the principles of maximizing profits through the selection of the price and volume-product mix policies of enterprises in the barter and mon...
15 citations
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TL;DR: In this paper, the authors proposed an efficient model for the term structure of interest rates when the interest rate takes very small values, and provided a simple method to price zero-coupon bonds.
Abstract: This paper proposes an efficient model for the term structure of interest rates when the interest rate takes very small values. We make the following choices: (i) we model the short-term interest rate, (ii) we assume that once the interest rate reaches zero, it stays there and we have to wait for a random time until the rate is reinitialized to a (possibly random) strictly positive value. This setting ensures that all term rates are strictly positive. Our objective is to provide a simple method to price zero-coupon bonds. A basic statistical study of the data at hand indeed suggests a switch to a different mode of behaviour when we get to a low level of interest rates. We introduce a variable for the time already spent at 0 (during the last stay) and derive the pricing equation for the bond. We then solve this partial integro-differential equation (PIDE) on its entire domain using a finite difference method (Cranck–Nicholson scheme), a method of characteristics and a fixed point algorithm. Resulting yield...
15 citations
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TL;DR: An improvement is found for the well known logarithmic upper bound on the optimal control for a family of defect processes in a linear stochastic control system with quadratic objective functional.
Abstract: For a linear stochastic control system with quadratic objective functional, we introduce various generalizations of the notions of optimality on average and stochastic optimality on an infinite time interval that take into account possible degeneration of the parameter of the disturbing process with time (attenuation of the disturbances) or the presence of a discount function in the objective functional. This lets us improve upon the quality estimate for a well known optimal control in this problem from the point of view of both asymptotic behavior of the functional's expectation and its asymptotic probabilistic properties. In particular, in the considered case we have found an improvement for the well known logarithmic upper bound on the optimal control for a family of defect processes.
15 citations
Authors
Showing all 315 results
Name | H-index | Papers | Citations |
---|---|---|---|
Boris Mirkin | 35 | 178 | 6722 |
Yuri Kabanov | 26 | 85 | 3396 |
L. V. Chernysheva | 24 | 167 | 1867 |
Igor V. Evstigneev | 21 | 129 | 1838 |
Alexander Zeifman | 21 | 177 | 1502 |
Vladimir Popov | 20 | 169 | 2041 |
Vyacheslav V. Kalashnikov | 19 | 109 | 1217 |
Vladimir I. Danilov | 18 | 165 | 1255 |
Victor Polterovich | 17 | 126 | 1145 |
Ernst Presman | 15 | 41 | 875 |
Andrei Dmitruk | 13 | 51 | 604 |
Anatoly Peresetsky | 13 | 45 | 617 |
Anton Oleinik | 12 | 55 | 495 |
Vladimir Rotar | 11 | 28 | 577 |
Nikolai B. Melnikov | 11 | 72 | 323 |