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The merchant language of the Georgian Jews deserves scholarly attention for several reasons. The political and social developments of the last fifty years have caused the extinction of this very interesting form of communication, as most Georgian Jews have emigrated to Israel. In a natural interaction, the type of language described in this article can be found very rarely, if at all. Records of this communication have been preserved in various contexts and received different levels of scholarly attention. Our interest concerns the linguistic aspects as well as the classification.
In the following paper we argue that the specific merchant language of Georgian Jews belongs to the pragmatic phenomenon of “very indirect language.” The use of mostly Hebrew lexemes in Georgian conversation leads to an unfounded assumption that the speakers are equally competent in Hebrew and Georgian. It is reported that a high level of linguistic competence in Hebrew does not guarantee understanding of the Jewish merchant language. In the Georgian context, the decisive factors are membership in the professional interest group of merchants and residential membership in the Jewish community. These factors seem to be equivalent, because Jewish members of other professional groups (and those from outside the particular urban residential area) have difficulties in following the language that are similar to those of the Georgian majority. We describe the pragmatic structure of interactions conducted with the help of the merchant language and take into account the purpose of the language’s use or the intention of the speakers. Relevant linguistic examples are analysed and their sociocultural contexts explained.
As part of the Next Generation EU (NGEU) program, the European Commission has pledged to issue up to EUR 250 billion of the NGEU bonds as green bonds, in order to confirm their commitment to sustainable finance and to support the transition towards a greener Europe. Thereby, the EU is not only entering the green bond market, but also set to become one of the biggest green bond issuers. Consequently, financial market participants are eager to know what to expect from the EU as a new green bond issuer and whether a negative green bond premium, a so-called Greenium, can be expected for the NGEU green bonds. This research paper formulates an expectation in regards to a potential Greenium for the NGEU green bonds, by conducting an interview with 15 sustainable finance experts and analyzing the public green bond market from September 2014 until June 2021, with respect to a potential green bond premium and its underlying drivers. The regression results confirm the existence of a significant Greenium (-0.7 bps) in the public green bond market and that the Greenium increases for supranational issuers with AAA rating, such as the EU. Moreover, the green bond premium is influenced by issuer sector and credit rating, but issue size and modified duration have no significant effect. Overall, the evaluated expert interviews and regression analysis lead to an expected Greenium for the NGEU green bonds of up to -4 bps, with the potential to further increase in the secondary market.
We focus on the role of social media as a high-frequency, unfiltered mass information transmission channel and how its use for government communication affects the aggregate stock markets. To measure this effect, we concentrate on one of the most prominent Twitter users, the 45th President of the United States, Donald J. Trump. We analyze around 1,400 of his tweets related to the US economy and classify them by topic and textual sentiment using machine learning algorithms. We investigate whether the tweets contain relevant information for financial markets, i.e. whether they affect market returns, volatility, and trading volumes. Using high-frequency data, we find that Trump’s tweets are most often a reaction to pre-existing market trends and therefore do not provide material new information that would influence prices or trading. We show that past market information can help predict Trump’s decision to tweet about the economy.
We raise some critical points against a naïve interpretation of “green finance” products and strategies. These critical insights are the background against which we take a closer look at instruments and policies that might allow green finance to become more impactful. In particular, we focus on the role of a taxonomy and investor activism. We also describe the interaction of government policies with green finance practice – an aspect, which has been mostly neglected in policy debates but needs to be taken into account. Finally, the special case of green government bonds is discussed.
We raise some critical points against a naïve interpretation of “green finance” products and strategies. These critical insights are the background against which we take a closer look at instruments and policies that might allow green finance to become more impactful. In particular, we focus on the role of a taxonomy and investor activism. We also describe the interaction of government policies with green finance practice – an aspect, which has been mostly neglected in policy debates but needs to be taken into account. Finally, the special case of green government bonds is discussed.
This paper was presented at the workshop “Goods, Languages, and Cultures along the Silk Road” at Goethe University Frankfurt am Main, October 18 and 19, 2019. While many contributions to the workshop focused on recent developments in China’s current “New Silk Road” politics, on forms of communication, and on contemporary exchange of goods and ideas across so-called Silk Road countries in the Caucasus and Central Asia and with China, this short essay focuses on the history of the so-called Silk Road as an important transport connection. Although what is now called the “Silk Road” was not a pure East-West binary in antiquity but rather developed into a network that also led to the South and North, the focus here will be on describing the East-West connection.
I will start with a few brief remarks on the origins of the connection referred to as the Silk Road and will then introduce the different great empires that shaped this connection between antiquity and the Middle Ages through military campaigns and by using it as a trading route and network. But the Silk Road was by no means only of economic and military importance. Its significance for the exchange and dissemination of religions should also be mentioned. This paper does not detail the importance of the numerous individual religions in the area of the Silk Road but discusses the phenomenon of the spread of religions and the loss of some of their own distinguishing characteristics in this spread, a phenomenon that could be described as a “unity of opposites” (coincidentia oppositorum). Finally, the essay asks who, in the face of the regular replacement of powers, held sovereignty over the transport connection: the subject (in the form of the empires) or the object (in the form of the road).
Who were the main protagonists of and along the Silk Road in the course of history? Who were the people who became the great powers of the ancient Silk Road, building up the material route, governing parts of it, and organizing trade and relationships from the far East to the extreme West of the Eurasian continent?
The importance of agile methods has increased in recent years, not only to manage software development processes but also to establish flexible and adaptive organisational structures, which are essential to deal with disruptive changes and build successful digital business strategies. This paper takes an industry-specific perspective by analysing the dissemination, objectives and relative popularity of agile frameworks in the German banking sector. The data provides insights into expectations and experiences associated with agile methods and indicates possible implementation hurdles and success factors. Our research provides the first comprehensive analysis of agile methods in the German banking sector. The comparison with a selected number of fintechs has revealed some differences between banks and fintechs. We found that almost all banks and fintechs apply agile methods in IT-related projects. However, fintechs have relatively more experience with agile methods than banks and use them more intensively. Scrum is the most relevant framework used in practice. Scaled agile frameworks are so far negligible in the German banking sector. Acceleration of projects is apparently the most important objective of deploying agile methods. In addition, agile methods can contribute to cost savings and lead to improved quality and innovation performance, though for banks it is evidently more challenging to reach their respective targets than for fintechs. Overall our findings suggest that German banks are still in a maturing process of becoming more agile and that there is room for an accelerated adoption of agile methods in general and scaled agile frameworks in particular.
Broad, long-term financial and economic datasets are a scarce resource, in particular in the European context. In this paper, we present an approach for an extensible, i.e. adaptable to future changes in technologies and sources, data model that may constitute a basis for digitized and structured long- term, historical datasets. The data model covers specific peculiarities of historical financial and economic data and is flexible enough to reach out for data of different types (quantitative as well as qualitative) from different historical sources, hence achieving extensibility. Furthermore, based on historical German company and stock market data, we discuss a relational implementation of this approach.
Historical evidence like the global financial crisis from 2007-09 highlights that sector concentration risk can play an important role for the solvency of insurers. However, current microprudential frameworks like the US RBC framework and Solvency II consider only name concentration risk explicitly in their solvency capital requirements for asset concentration risk and neglect sector concentration risk. We show by means of US insurers’ asset holdings from 2009 to 2018 that substantial sectoral asset concentrations exist in the financial, public and real estate sector, and find indicative evidence for a sectoral search for yield behavior. Based on a theoretical solvency capital allocation scheme, we demonstrate that the current regulatory approaches can lead to inappropriate and biased levels of solvency capital for asset concentration risk, and should be revised. Our findings have also important implications on the ongoing discussion of asset concentration risk in the context of macroprudential insurance regulation.