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Institution

National Research University – Higher School of Economics

EducationMoscow, Russia
About: National Research University – Higher School of Economics is a education organization based out in Moscow, Russia. It is known for research contribution in the topics: Population & Politics. The organization has 12873 authors who have published 23376 publications receiving 256396 citations.


Papers
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Journal ArticleDOI
01 Mar 2020
TL;DR: It is posited that cryptocurrencies may perform some useful functions and add economic value, but there are reasons to favor the regulation of the market, which would go against the original libertarian rationale behind cryptocurrencies.
Abstract: The papers in this special issue focus on the emerging phenomenon of cryptocurrencies. Cryptocurrencies are digital financial assets, for which ownership and transfers of ownership are guaranteed by a cryptographic decentralized technology. The rise of cryptocurrencies’ value on the market and the growing popularity around the world open a number of challenges and concerns for business and industrial economics. Using the lenses of both neoclassical and behavioral theories, this introductory article discusses the main trends in the academic research related to cryptocurrencies and highlights the contributions of the selected works to the literature. A particular emphasis is on socio-economic, misconduct and sustainability issues. We posit that cryptocurrencies may perform some useful functions and add economic value, but there are reasons to favor the regulation of the market. While this would go against the original libertarian rationale behind cryptocurrencies, it appears a necessary step to improve social welfare.

94 citations

Posted Content
TL;DR: This paper proposed a non-parametric approach based on Random Survival Forests (RSF) and compared its performance with a standard logit model and found that the logit performs better than the RSF model.
Abstract: This paper extends the existing literature on empirical research in the field of credit risk default for Small Medium Enterprizes (SMEs). We propose a non-parametric approach based on Random Survival Forests (RSF) and we compare its performance with a standard logit model. To the authors' knowledge, no studies in the area of credit risk default for SMEs have used a variety of statistical methodologies to test the reliability of their predictions and to compare their performance against one another. As for the in-sample results, we find that our non-parametric model performs much better that the classical logit model. As for the out-of-sample performances, the evidence is just the opposite, and the logit performs better than the RSF model. We explain this evidence by showing how error in the estimates of default probabilities can affect classification error when the estimates are used in a classification rule.

94 citations

Journal ArticleDOI
TL;DR: In this article, a novel analytical approach to the problem of single particle localization in infinite dimensional spaces such as Bethe lattice and random regular graph models was developed, where the key ingredient of the approach is the notion of the inverted order thermodynamic limit (IOTL) in which the coupling to the environment goes to zero before the system size goes to infinity.

94 citations

Book
28 Jun 2004
TL;DR: In this article, a detailed quantitative analysis of the trends and the configuration of trade of the CIS countries is presented, based on standard econometric models, and the authors conclude that the potential benefits of CIS trade integration remain badly underutilized.
Abstract: Trade Performance and Regional Integration of the CIS Countries is part of the World Bank Working Paper series. These papers are published to communicate the results of the Bank's ongoing research and to stimulate public discussion. The CIS free trade area is, on balance, a beneficial, trade facilitating bloc. However, the potential benefits of CIS trade integration remain badly underutilized. Based on standard econometric models, the study provides a detailed quantitative analysis of the trends and the configuration of trade of the CIS countries.

94 citations

Journal ArticleDOI
TL;DR: In this paper, the quantum periods of all 3-dimensional Fano manifolds with very ample anticanonical bundle have mirrors given by a collection of Laurent polynomials called Minkowski polynomial.
Abstract: The quantum period of a variety X is a generating function for certain Gromov-Witten invariants of X which plays an important role in mirror symmetry. In this paper we compute the quantum periods of all 3-dimensional Fano manifolds. In particular we show that 3-dimensional Fano manifolds with very ample anticanonical bundle have mirrors given by a collection of Laurent polynomials called Minkowski polynomials. This was conjectured in joint work with Golyshev. It suggests a new approach to the classification of Fano manifolds: by proving an appropriate mirror theorem and then classifying Fano mirrors. Our methods are likely to be of independent interest. We rework the Mori-Mukai classification of 3-dimensional Fano manifolds, showing that each of them can be expressed as the zero locus of a section of a homogeneous vector bundle over a GIT quotient V/G, where G is a product of groups of the form GL_n(C) and V is a representation of G. When G=GL_1(C)^r, this expresses the Fano 3-fold as a toric complete intersection; in the remaining cases, it expresses the Fano 3-fold as a tautological subvariety of a Grassmannian, partial flag manifold, or projective bundle thereon. We then compute the quantum periods using the Quantum Lefschetz Hyperplane Theorem of Coates-Givental and the Abelian/non-Abelian correspondence of Bertram-Ciocan-Fontanine-Kim-Sabbah.

94 citations


Authors

Showing all 13307 results

NameH-indexPapersCitations
Rasmus Nielsen13555684898
Matthew Jones125116196909
Fedor Ratnikov123110467091
Kenneth J. Arrow113411111221
Wil M. P. van der Aalst10872542429
Peter Schmidt10563861822
Roel Aaij98107144234
John W. Berry9735152470
Federico Alessio96105442300
Denis Derkach96118445772
Marco Adinolfi9583140777
Michael Alexander9588138749
Alexey Boldyrev9443932000
Shalom H. Schwartz9422067609
Richard Blundell9348761730
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023129
2022584
20212,477
20203,025
20192,589
20182,259