nep-ppm New Economics Papers
on Project, Program and Portfolio Management
Issue of 2019‒06‒10
three papers chosen by
Arvi Kuura
Tartu Ülikool

  1. Development of a comprehensive risk assessment methodology for the implementation of investment projects in the housing and communal services By Suyunchev, Marat (Суюнчев, Марат); Repetyuk, Sergey (Репетюк, Сергей); Tregubova, Ekaterina (Трегубова, Екатерина)
  2. Expertise in the relationship between biobanks and research units By Carole Haritchabalet; Catherine Bobtcheff
  3. Monetary Stabilization in Cryptocurrencies - Design Approaches and Open Questions By Ingolf G. A. Pernice; Sebastian Henningsen; Roman Proskalovich; Martin Florian; Hermann Elendner; Bj\"orn Scheuermann

  1. By: Suyunchev, Marat (Суюнчев, Марат) (The Russian Presidential Academy of National Economy and Public Administration); Repetyuk, Sergey (Репетюк, Сергей) (The Russian Presidential Academy of National Economy and Public Administration); Tregubova, Ekaterina (Трегубова, Екатерина) (The Russian Presidential Academy of National Economy and Public Administration)
    Abstract: The paper abstracts the results of research scientific work «The Methodology development for Municipal infrastructure project capital investment risk assessment», which analyzes international and Russian practice of risk assessment for infrastructure projects capital investment (Municipal infrastructure, electric utilities, road construction), including Public Private Partnership projects. The integrated risk assessment Methodology for Municipal infrastructure project implementation is drawn. The Methodology determines the integrated risk assessment arrangement procedure, including participants specification, utilized methods and proposed findings. The risk assessment Procedure for Municipal infrastructure project implementation is suggested. It takes due account of representative features of investment projects implementation in Russian Federation and the disclosed information. The suggested Procedure testing was exemplified by integrated risk assessment of capital investment projects for water and sanitation public utility providers in Russia.
    Date: 2019–04
  2. By: Carole Haritchabalet (CATT - Centre d'Analyse Théorique et de Traitement des données économiques - UPPA - Université de Pau et des Pays de l'Adour); Catherine Bobtcheff (PSE - Paris School of Economics)
    Abstract: We propose to model the relationship between a biobank and a research unit. We are interested in the problem of a research unit that wishes to invest in a new project. This project can potentially lead to a new drug or process whose profitability is uncertain. This project requires access to a collection of biological resources (biological samples and associated data) stored in a biobank. The commercial value of this innovation is unknown by the biobank and the research unit, but it is endogenous, i.e. it depends on the actions and decisions of the different actors. Our objective is to identify how these actions and decisions modify the value of the innovation.
    Date: 2018–07
  3. By: Ingolf G. A. Pernice; Sebastian Henningsen; Roman Proskalovich; Martin Florian; Hermann Elendner; Bj\"orn Scheuermann
    Abstract: The price volatility of cryptocurrencies is often cited as a major hindrance to their wide-scale adoption. Consequently, during the last two years, multiple so called stablecoins have surfaced---cryptocurrencies focused on maintaining stable exchange rates. In this paper, we systematically explore and analyze the stablecoin landscape. Based on a survey of 24 specific stablecoin projects, we go beyond individual coins for extracting general concepts and approaches. We combine our findings with learnings from classical monetary policy, resulting in a comprehensive taxonomy of cryptocurrency stabilization. We use our taxonomy to highlight the current state of development from different perspectives and show blank spots. For instance, while over 91% of projects promote 1-to-1 stabilization targets to external assets, monetary policy literature suggests that the smoothing of short term volatility is often a more sustainable alternative. Our taxonomy bridges computer science and economics, fostering the transfer of expertise. For example, we find that 38% of the reviewed projects use a combination of exchange rate targeting and specific stabilization techniques that can render them vulnerable to speculative economic attacks - an avoidable design flaw.
    Date: 2019–05

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