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Telemonitoring devices can be used to screen consumer characteristics and mitigate information asymmetries that lead to adverse selection in insurance markets. Nevertheless, some consumers value their privacy and dislike sharing private information with insurers. In a secondbest efficient Miyazaki-Wilson-Spence (MWS) framework, we allow consumers to reveal their risk type for an individual subjective cost and show analytically how this affects insurance market equilibria as well as social welfare. We find that information disclosure can substitute deductibles for consumers whose transparency aversion is sufficiently low. This can lead to a Pareto improvement of social welfare. Yet, if all consumers are offered cross-subsidizing contracts, the introduction of a screening contract decreases or even eliminates cross-subsidies. Given the prior existence of a cross-subsidizing MWS equilibrium, utility is shifted from individuals who do not reveal their private information to those who choose to reveal. Our analysis informs the discussion on consumer protection in the context of digitalization. It shows that new technologies challenge cross-subsidization in insurance markets, and it stresses the negative externalities that digitalization has on consumers who are unwilling to take part in this
development
We prove the existence of an equilibrium in competitive markets with adverse selection in the sense of Miyazaki (1977), Wilson (1977), and Spence (1978) when the distribution of unobservable risk types is continuous. Our proof leverages the finite-type proof in Spence (1978) and a limiting argument akin to Hellwig (2007)’s study of optimal taxation.
Through the lens of market participants' objective to minimize counterparty risk, we provide an explanation for the reluctance to clear derivative trades in the absence of a central clearing obligation. We develop a comprehensive understanding of the benefits and potential pitfalls with respect to a single market participant's counterparty risk exposure when moving from a bilateral to a clearing architecture for derivative markets. Previous studies suggest that central clearing is beneficial for single market participants in the presence of a sufficiently large number of clearing members. We show that three elements can render central clearing harmful for a market participant's counterparty risk exposure regardless of the number of its counterparties: 1) correlation across and within derivative classes (i.e., systematic risk), 2) collateralization of derivative claims, and 3) loss sharing among clearing members. Our results have substantial implications for the design of derivatives markets, and highlight that recent central clearing reforms might not incentivize market participants to clear derivatives.
As the Chinese economy continues to grow, increased commercial engagement with Africa will offer the continent new and rewarding prospects for trade, investment and economic development. The challenge is for Africa to grasp these opportunities and take full advantage of China's friendship and willingness to co-operate. The Forum on China-Africa Co-operation (FOCAC) provides a mechanism for all-inclusive diplomatic consultation to advance China Africa co-operation and to effectively manage expanding economic inter-dependence. FOCAC is a political arena for developing Sino-African co-operation and problem solving. FOCAC also provides an important framework for developing a common development agenda. Given new global trends towards antiglobalisation, FOCAC's importance is expected to increase in the years ahead. This book seeks to strengthen the China-Africa relationship and offer new suggestions for both policy makers and scholars seeking to understand and advance FOCAC for mutual benefit. FOCAC holds the key to Africa's development and long-term prosperity. The new policy initiatives and proposals outlined in this study make a very valuable contribution to strengthening FOCAC and advancing Africa's economic development.
Privacy concerns as well as trust and risk beliefs are important factors that can influence users’ decision to use a service. One popular model that integrates these factors is relating the Internet Users Information Privacy Concerns (IUIPC) construct to trust and risk beliefs. However, studies haven’t yet applied it to a privacy enhancing technology (PET) such as an anonymization service. Therefore, we conducted a survey among 416 users of the anonymization service JonDonym [1] and collected 141 complete questionnaires. We rely on the IUIPC construct and the related trust-risk model and show that it needs to be adapted for the case of PETs. In addition, we extend the original causal model by including trust beliefs in the anonymization service provider and show that they have a significant effect on the actual use behavior of the PET.
This paper provides an assessment framework for privacy policies of Internet of Things Services which is based on particular GDPR requirements. The objective of the framework is to serve as supportive tool for users to take privacy-related informed decisions. For example when buying a new fitness tracker, users could compare different models in respect to privacy friendliness or more particular aspects of the framework such as if data is given to a third party. The framework consists of 16 parameters with one to four yes-or-no-questions each and allows the users to bring in their own weights for the different parameters. We assessed 110 devices which had 94 different policies. Furthermore, we did a legal assessment for the parameters to deal with the case that there is no statement at all regarding a certain parameter. The results of this comparative study show that most of the examined privacy policies of IoT devices/services are insufficient to address particular GDPR requirements and beyond. We also found a correlation between the length of the policy and the privacy transparency score, respectively.
UNDERSTANDING HOW HOUSEHOLDS REACT TO THE ARRIVAL OF PERMANENT AND TRANSITORY INCOME IS OF INTEREST FOR RESEARCHERS AND REGULATORS. PREVIOUS STUDIES HAD TO USE IMPRECISE SURVEY DATA TO MEASURE CONSUMPTION AND THUS CONCLUSIONS OFTEN DIVERGED. WE LEVERAGE GRANULAR PERSONAL FINANCE MANAGEMENT FINTECH DATA TO TEST FRIEDMAN'S PERMANENT INCOME HYPOTHESIS AND TO ASSESS HOUSEHOLD SPENDING ELASTICITY AND MARGINAL PROPENSITY TO CONSUME FOR VARIOUS SPENDING CATEGORIES IN RESPONSE TO DIFFERENT INCOME TYPES.
AGAINST THE BACKGROUND OF FRAGMENTED EUROPEAN EQUITIES TRADING, MARKET OPERATORS HAVE EMPLOYED DIFFERENT STRATEGIES TO INCREASE LIQUIDITY ON THEIR MARKET RELATIVE TO OTHER TRADING VENUES. ONE OF THESE STRATEGIES IS TO INCENTIVIZE LIQUIDITY PROVIDERS VIA FEE REBATES. THIS ARTICLE PRESENTS AN EMPIRICAL INVESTIGATION OF THE INTRODUCTION OF THE XETRA LIQUIDITY PROVIDER PROGRAM AT DEUTSCHE BÖRSE AND ITS IMPACT ON LIQUIDITY AND TRADING VOLUME ON THE INTRODUCING MARKET ITSELF AND ON THE CONSOLIDATED EUROPEAN MARKET.
THIS EXPLORATORY STUDY INVESTIGATES DRIVERS OF THE CRYPTOCURRENCY EX CHANGE COMPETITION. WE EXAMINE THE IMPACT OF MARKET-RELATED AND COMMUNITY-RELATED ASPECTS OF CRYPTOCURRENCY EXCHANGES ON TWO DISTINCT TYPES OF COMPETITION. OUR EMPIRICAL ANALYSIS OF THREE DATASETS INDICATES THAT THE COMPETITION FOR TRADING FREQUENCY IS DRIVEN BY BOTH THE MARKET AS WELL AS THE COMMUNITY WHEREAS THE COMPETITION FOR TRADING QUANTITY IS DRIVEN SOLELY BY THE MARKET.
TO MAKE PROFITABLE INVESTMENT DECISIONS, INVESTORS NEED TO ASSESS THE FINANCIAL FUTURE OF FIRMS. DUE TO INVESTORS’ LACK OF INTERNAL INFORMATION ABOUT THE FIRMS’ FUTURE PROSPECTS, THEY OFTEN HAVE TO RELY ON MANAGERS’ VERBAL STATEMENTS FOR THIS TASK. HOWEVER, AS MANAGERS MIGHT HAVE AN INCENTIVE TO PRESENT POSITIVELY BIASED INFORMATION, THE VALUE OF THEIR STATEMENTS FOR INVESTORS IS NOT CLEAR.
IN THIS REPORT, WE SHOW HOW TEXTUAL ANALYSIS TOOLS CAN BE USED TO ASSESS THE VALUE OF MANAGERS’ VERBAL STATEMENTS DURING EARNINGS CONFERENCE CALLS FOR INVESTORS. WE FIND THAT IN PARTICULAR MANAGERS’ NEGATIVE STATEMENTS SIGNI FICANTLY PREDICT LOWER FUTURE EARNINGS.
ICOs and improvement potentials for a global digital market infrastructure : Martin Steinbach
(2018)
DIGITIZATION CHALLENGES COMPANIES TO ACCELERATE THEIR INNOVATION CYCLES TO STAY COMPETITIVE. THIS RESEARCH INVESTIGATES HOW IT KNOWLEDGE ESTABLISHED ON DIFFERENT HIERARCHICAL LEVELS LEADS TO ORGANIZATIONAL INNOVATIVENESS. DIFFERENTIATING BETWEEN STRATEGICALLY MORE AND LESS DIGITIZED ORGANIZATIONS, THE RESULTS REVEAL: ORGANIZATIONAL INNOVATIVENESS IS SIGNIFICANTLY HIGHER INFLUENCED BY THE IT KNOWLEDGE OF BUSINESS EMPLOYEES IN ORGANIZATIONS GIVING THE DIGITAL BUSINESS STRATEGY HIGH IMPORTANCE, WHEREAS THE MANAGEMENT’S ROLE DECREASES. WE FURTHER DEDUCE THE CIO’S POSITIVE ROLE FOR IT-ENABLED BUSINESS INNOVATION IN KNOWLEDGE-INTENSIVE INDUSTRIES, SUCH AS THE FINANCIAL SERVICES SECTOR.
THE GROWING DEMAND FOR DIFFERENTIATED QUALITY OF SERVICE REQUIREMENTS OF VARIOUS MOBILE APPLICATIONS ESTABLISHES THE NEED FOR ELASTIC CLOUDLET RE SOURCE ALLOCATIONS. HERE, WE CONSIDER THE DYNAMIC OPTIMIZATION OF RESOURCE ALLOCATIONS IN REMOTE, AS WELL AS EDGE CLOUD INFRASTRUCTURES. WE CONSIDER TIME VARYING APPLICATION DEMANDS AND OPTIMIZE THE CLOUDLET RESOURCE ALLOCATION OVER A FINITE TIME HORIZON SHOWING THAT THE CORRESPONDING COMPUTATIONAL EFFORT IS REDUCED BY THREE ORDERS OF MAGNITUDE.
EXTANT STRATEGY CONCEPTS ARE CHALLENGED DUE TO THE ONGOING DIGITIZATION, WHICH FUNDAMENTALLY CHANGES CONDITIONS FOR ALL MARKET PARTICIPANTS. THIS RESEARCH COMPARES THE CONCEPT OF IT ALIGNMENT WITH THE RECENTLY INTRODUCED “DIGITAL BUSINESS STRATEGY” (DBS), WHICH DESCRIBES A CROSS-FUNCTIONAL AND AGILE FUSION OF BUSINESS AND IT STRATEGY. THE RESULTS REVEAL A TOTAL ABSENCE OF A DIRECT INFLUENCE OF IT LEADERS (CIOS) ON DBS, WHEREAS A HIGH IMPACT ON IT ALIGNMENT IS STILL GIVEN. BUSINESS LEADERS IN TURN IMPACT MORE ON DBS.
IN THE CURRENT REGIME OF LOW INTEREST RATES, TAKING SOUND SAVINGS DECISIONS POSES A SIGNIFICANT CHALLENGE TO MOST INDIVIDUALS. FUND SAVINGS PLANS ALLOW TO ACCUMULATE PRIVATE SAVINGS VIA AUTOMATED RECURRING INVESTMENTS IN SELECTED FUNDS. LOW FEES AND SMALL MINIMUM INVESTMENT AMOUNTS MAKE THEM A SUITABLE SAVINGS VEHICLE ALSO FOR LOW NET-WORTH INDIVIDUALS. WHILE TRADITIONAL FINANCIAL ADVISORS ONLY RELUCTANTLY PROVIDE ADVICE ON SMALL-SCALE INVESTMENTS, THE RECENT SURGE OF ROBO-ADVISORS ENABLES ACCESS TO ADVICE ON SAVINGS PLAN CHOICES FOR INVESTORS FROM ALL WEALTH BANDS. IN THIS REPORT, WE PRESENT EMPIRICAL RESULTS ON THE IMPACT OF INTRODUCING AN AUTOMATED INVESTMENT TOOL AT A LARGE GERMAN ONLINE BANK ON PRIVATE INVESTORS’ SAVINGS DECISIONS.
Bitcoin stands like no other cryptocurrency for the profound transformation of financial markets in the digital economy. While the last few months saw the free trade in goods struggle against trends towards protectionism, cryptocurrencies seemed to tear down one border after the other – physical, geographic, and legal ones alike. A libertarian’s wet dream. Blockchain presents itself as a fortress against state intervention, for whatever purpose. Finally, a technological, market-based solution would put an end to the problem of monetary policy, payment transactions, and make whole chunks of government regulation superfluous. ...
Considering the circumstance that literature dealing with the economic performance of agri-food businesses in general, or particularly with the German agricultural sector, mainly deals with strictly agricultural-related theory in order to explain the economic success of agri-food businesses, the present paper aims to extend existing discourses to further areas of thought. Consequently, the characteristics: a) increased size of agribusiness, b) pull-strategies, c) the development of new markets and d) focus on the processing industry, that all correspond to the current picture of the German agricultural sector and are considered to be significantly responsible for recently managing to outpace the French agri-food sector, will be first explained in their success against the background of mainly non-agricultural-related literature. By doing so helpful and rather unnoted perspectives can be contributed to existing discourses. Second, the paper presents scatter plots which portray correlations between a) the added value of agriculture and the regular labor force, b) the added value of agriculture and the number of agricultural holdings and c) the added value of agriculture and the number of enterprises concerning milk consumption. Corresponding scatter plots which show different developments in Germany and France can be related to the findings of the first part of the paper and allow new perspectives in existing discourses as well.
This special issue explores how finance deploys time, structures the future, and interacts with actors and institutions that sometimes function according to very different temporal regimes. Finance capitalism’s logic of recurrence, repetitive cycles, and successive ruptures has long been with us, but the essays in this special issue are particularly interested in how recent decades of intensified financialization have restructured temporal experience. They interrogate the production and dissemination of agency in an age of acceleration, risk, and uncertainty, asking how the temporality inscribed in financial transactions emerges from and simultaneously shapes individual and social practice. Topics covered range from the logic of finance and foundational concepts of financial theory to the intersection between objective structures and social practice, the role of literature, and finally questions of social insecurity, political action, and the possibility of resistance within a context of competing temporalities. In this introduction, the editors delineate some fundamental concepts and questions for our financial times.
This article develops a reading of Don DeLillo’s novel Cosmopolis that differentiates between two thematic and poetological axes running through the text. On the one hand, Cosmopolis explores the future-fixation of the risk regime of finance capitalism; on the other, it stages scenes of insecurity that physically threaten the protagonist and his world. Insecurity, the article argues, is a condition that throughout the text increasingly gains in appeal because it promises to offer an alternative to a world of managed risk. The concern with security emphasizes finitude and mortality, thus enabling a turn to existential matters that the virtual abstractions of finance have seemingly made inaccessible. While proposing an opposition between a logic of risk based on virtuality and a logic of (in)security based on authenticity, DeLillo’s novel also suggests that it is impossible to break out of the logic of risk management pervading late modernity. The appeal of (in)security articulated in Cosmopolis rather lies in the promise to existentially revitalize life within the confines of financialized capitalism.
The article presents an analysis of the development of labour market risks in Germany in light of changing working poverty risks. Low hourly wages and part-time employment are identified as the main demand-side-related mechanisms for household poverty. Their measurement and development are discussed as well as their contribution to trends in working poverty risks. A rise in low wages, especially among part-time employed households, was decisive for the increase in working poverty risks in Germany by 45% between the end of the 1990s and the end of the 2000s. We therefore study these trends more closely in the multivariate analysis. The results show that while low wages are unequally distributed across occupations and industries, shifts in employment between sectors explain only a minor part of the change in low wages. However, they reveal a polarization of low-wage risks by skill-level and sector of employment, on the one hand, and full-time and part-time employees, on the other hand.
In energy modelling, open data and open source code can help enhance traceability and reproducibility of model exercises which contribute to facilitate controversial debates and improve policy advice. While the availability of open power plant databases increased in recent years, they often differ considerably from each other and their data quality has not been systematically compared to proprietary sources yet. Here, we introduce the python-based ‘powerplantmatching’ (PPM), an open source toolset for cleaning, standardizing and combining multiple power plant databases. We apply it once only with open databases and once with an additional proprietary database in order to discuss and elaborate the issue of data quality, by analysing capacities, countries, fuel types, geographic coordinates and commissioning years for conventional power plants. We find that a derived dataset purely based on open data is not yet on a par with one in which a proprietary database has been added to the matching, even though the statistical values for capacity matched to a large degree with both datasets. When commissioning years are needed for modelling purposes in the final dataset, the proprietary database helps crucially to increase the quality of the derived dataset.
"A groundbreaking decision"
(2018)
Andreas Hackethal: Better than a pension guarantee would be to allow citizens finally more insights.
Discriminating inflation
(2018)
Alexander Ludwig: An expert commission makes sense – but why expert opinion only after 2025 and clientele policy before?