Toward an ontology‐driven blockchain design for supply‐chain provenance

An interesting research problem in our age of Big Data is that of determining provenance. Granular evaluation of provenance of physical goods (e.g., tracking ingredients of a pharmaceutical or demonstrating authenticity of luxury goods) has often not been possible with today's items that are produced and transported in complex, interorganizational, often internationally spanning supply chains. Recent adoptions of the Internet of Things and blockchain technologies give promise at better supply‐chain provenance. We are particularly interested in the blockchain, as many favored use cases of blockchain are for provenance tracking. We are also interested in applying ontologies, as there has been some work done on knowledge provenance, traceability, and food provenance using ontologies. In this paper, we make a case for why ontologies can contribute to blockchain design. To support this case, we analyze a traceability ontology and translate some of its representations to smart contracts that execute a provenance trace and enforce traceability constraints on the Ethereum blockchain platform.     

A Note on Initial Conditions and Liberalization during Transition

Literature explaining variations in economic performance among transition economies places a high level of importance on the role of policy. Policy differences are measured via a liberalization index used to explain differences in performance. We find that this index may be endogenous to one performance measure, e.g., output decline, and may, therefore, overstate the role of policy. This paper performs an instrumental variables (IV) estimate of the relationship between liberalization and performance that also allows us to generate a relative index of reform progress. The relative index challenges some commonly held preconceptions about which transition economies are rapid reformers and which are slow reformers.J. Comp. Econom.,December 1998, 26(4), pp. 718–734. Macalester College, 1600 Grand Avenue, St. Paul, Minnesota 55105.     

Czech privatisation 25 years later

Privatisation is still a hot political topic today and divides economists as well as politicians and the general public. The paper aims to capture the Czech privatisation in its historical, economic and political contexts. The first part explains the difference between transitional privatisation and standard privatisation. The second part examines the interests in the privatisation process. The third part discusses the privatisation methods used in the Czech Republic. The fourth part offers an international comparison.     

Defining personalized concepts for XBRL using iPAD‐drawn fuzzy sets

An efficient and effective analysis of business data requires a better understanding of what the data represents, and to what degree. A human‐like way of accomplishing that without being too detailed yet learning more about data content is to summarize and map the data into concepts familiar to a person performing analysis. Processes of summarization help identify the most essential facts that are embedded in the data. All this is of significant importance for analysis of large amounts of business data required to make good and sound financial decisions. There are two aspects enabling more comprehensive yet easier processing of data: a standardized representation format of financial data; and a human‐friendly way of defining concepts and using them for building personalized models representing processing data. The first of the aspects has been addressed by the eXtensible Business Reporting Language (XBRL)—a standardized format of defining, representing and exchanging corporate and financial information. The second aspect is related to providing individuals with the ability to gain understanding of data content via determining a degree of truth of statements summarizing data based on their own perception of concepts they are looking for. In this paper, we introduce a tablet application—Tablet‐based input of Fuzzy Sets (TiFS)—and demonstrate its usefulness for entering personalized definitions of concepts and terms that enable a quick analysis of financial data. Such analysis means utilization of soft queries and operations of aggregation that extract and summarize the data and present it in a form familiar to analysts. The application allows for defining concepts and terms with ‘finger‐made’ drawings representing a person's perception of concepts. Further, these definitions are used to build summarization statements for exploring XBRL data. They are equipped with ‘drawn’ definitions of linguistic terms (e.g. LARGE, SMALL, FAST) and linguistic quantifiers (e.g. ALL, MOSTLY), and enable summarization of data content from the perspective of a user's interests. The ‘drawn’ linguistic terms and quantifiers represent membership functions of fuzzy sets. Utilization of fuzzy sets allows for performing operations of data summarization in a human‐like way. The application of TiFS illustrates ease of inputting personalized definitions of concepts and their influence on the interpretation of data. This introduces aspects of personalization and adaptation of artificial intelligence systems to perceptions and views of individuals. The proposed application is used to perform a basic analysis of an XBRL document.     

An example of indifference prices under exponential preferences

The aim herein is to analyze utility-based prices and hedging strategies. The analysis is based on an explicitly solved example of a European claim written on a nontraded asset, in a model where risk preferences are exponential, and the traded and nontraded asset are diffusion processes with, respectively, lognormal and arbitrary dynamics. Our results show that a nonlinear pricing rule emerges with certainty equivalent characteristics, yielding the price as a nonlinear expectation of the derivatives payoff under the appropriate pricing measure. The latter is a martingale measure that minimizes its relative to the historical measure entropy.Received: July 2003, Mathematics Subject Classification: 93E20, 60G40, 60J75JEL Classification: C61, G11, G13The second author acknowledges partial support from NSF Grants DMS-0102909 and DMS-0091946. We have received valuable comments from the participants at the Conferences in Paris IX, Dauphine (2000), ICBI Barcelona (2001) and 14th Annual Conference of FORC Warwick (2001). While revising this work, we came across the paper by Henderson (2002) in which a special case of our model is investigated     

Regional determinants of MNE’s location choice in post-transition economies

This article focuses on the impact of agglomeration and labour market factors on the location choice of MNEs in post-transition economies. We compare data from 33 regions in East Germany, the Czech Republic and Poland using a mixed logit model on a sample of 4,343 subsidiaries for the time period between 2000 and 2010. The results show that agglomeration advantages, such as sectoral specialization as well as a region’s economic and technological performance prove to be some of the most important pull factors for FDI in post-transition regions. With respect to access to labour, the results suggest that FDI in post-transition regions is (no longer) only dominated by efficiency seeking behaviour, but also by access to well-qualified labour.     

No-arbitrage, state prices and trade in thin financial markets

We examine how non-competitiveness in financial markets affects the choice of asset portfolios and the determination of equilibrium prices. In our model, potential arbitrage is conducted by a few highly specialized institutional investors who recognize and estimate the impact of their trades on financial prices. We apply a model of economic equilibrium, based on Weretka (, 2007a), in which price effects are determined endogenously as part of the equilibrium concept. For the case in which markets allow for perfect insurance, we argue that the principle of no-arbitrage asset pricing is consistent with non-competitive behavior of the arbitragers and extend the fundamental theorem of asset pricing to the non-competitive setting.     

Whence reform? A critique of the stiglitz perspective

This paper discusses the key hypotheses which Joseph Stiglitz proposed, in his wide-ranging critique of the “Washington Consensus”, with regard to transition reforms and economic policies in China and Russia. The primary purpose is to evaluate the Stiglitz perspective in the light of empirical evidence, including the experience of countries outside China and Russia. Although some of the points Stiglitz makes are important for understanding what has happened in the transition, this paper argues that his perspective mis-interprets the key facts of the Chinese transition, mis-describes the facts of the Russian transition and fails to consider the theoretical and policy implications of the success of a “third model”, which is represented by some Central European and Baltic transitions.     

Causal relations between nominal exchange rates and monetary fundamentals in Central and Eastern European countries

The purpose of this paper is to investigate the causal relations between nominal exchange rates and monetary fundamentals. The analysis is conducted using panel quarterly data from the period 2001–12 for Central and Eastern European countries (including Turkey) with relatively flexible exchange rate regimes. The paper reconnects the empirical literature on exchange rates in Central and Eastern European countries with the most recent findings on exchange rate determination in advanced economies. Kóyna's approach, which accounts for linkages between countries, is used in the study. The main findings indicate the existence of causal relations running from both nominal exchange rates to monetary fundamentals and in the opposite direction as well as the existence of a relatively strong link between exchange rates and differentials in the relative price of non‐tradables.     

Unruly entrepreneurs – investigating value creation by microfinance clients in rural Burundi

ABSTRACT

This study explores the entrepreneurial potential of the rule-breaking practices of microfinance programs’ beneficiaries. Using the storyboard methodology, we examine the strategies employed by the poor in Burundi to bypass institutional rules. Based on 66 short interviews conducted in seven rural provinces of Burundi, our exploratory study analyzes the entrepreneurial potential in four instances of rule-evasion: consumption spending, illegitimate investment, loan juggling and loan arrogation. We argue that some of the unruly practices are in fact entrepreneurial, as they create tangible and intangible value for the rural poor at both household and community levels. These include strengthening social ties through gift exchange and ceremonies, which then help poor households to self-insure against shocks through social networks. By analyzing the push and pull factors for unruly behavior, we show that rule-breaking practices are often necessitated by the microfinance industry itself and call for increased flexibility and adaptability of microfinance products.