E-Finance Lab e.V.
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Institute
In a year marked by challenging market dynamics, the importance of ESG investments remains unwavering. But the wave of ESG regulations and requests generates a demand for more scalable ways to collect and analyze ESG data. The rise of AI could mark a turning point in an industry heavily burdened by reporting requirements, and unlock the true potential of ESG for businesses and investors alike.
Nowadays, firms lack information to derive the share of wallet, a vital metric that identifies how much additional spending a firm could capture from each customer. However, decoding Blockchain data enables observing all transactions of each wallet, respectively customer, on the Ethereum NFT market. To shed light on the share of wallet, we analyzed 22.7 million transactions from over 1.3 million customers across eight competing firms on the Ethereum NFT market.
This study explores high-frequency cross-asset lead-lag relationships for various market microstructure dimensions. Utilizing data from stocks, futures, and exchange traded products, the findings uncover significant lead-lag patterns, particularly among fundamentally related instruments. Our results demonstrate that knowledge about lead-lag relationships can be leveraged for forecasting short-term changes in financial markets.
Yes, they are. The securities services industry is at a tipping point of its digital transformation and will now see industry solutions to scale. We identify three fundamental drivers being adopted more broadly: cloud migration, data, and digitization. This triage also drives the scaling of Clearstream’s digital infrastructure D7, one of the leading digital infrastructures globally.
WE PRESENT OUR VISION OF OMNISCIENTDB, A NOVEL DATABASE THAT LEVERAGES THE IMPLICITLY STORED KNOWLEDGE IN LARGE LANGUAGE MODELS TO AUGMENT DATA SETS FOR ANALYTICAL QUERIES OR MACHINE LEARNING TASKS. OMNISCIENTDB EMPOWERS USERS TO AUGMENT DATA SETS BY MEANS OF SIMPLE SQL QUERIES AND THUS HAS THE POTENTIAL TO DRAMATICALLY REDUCE THE MANUAL OVERHEAD ASSOCIATED WITH DATA INTEGRATION. IT USES AUTOMATIC PROMPT ENGINEERING TO CONSTRUCT APPROPRIATE PROMPTS FOR GIVEN SQL QUERIES AND PASSES THEM TO A LARGE LANGUAGE MODEL LIKE GPT-3 TO CONTRIBUTE ADDITIONAL DATA, AUGMENTING THE EXPLICITLY STORED DATA. OUR INITIAL EVALUATION DEMONSTRATES THE GENERAL FEASIBILITY OF OUR VISION, EXPLORES DIFFERENT PROMPTING TECHNIQUES IN GREATER DETAIL, AND POINTS TOWARDS FUTURE RESEARCH.
Forging new paths – the Bundesbank’s transformation journey : interview with Karmela Holtgreve
(2023)
Iinterview with Karmela Holtgreve [Director General Strategy and Innovation, Deutsche Bundesbank]
WE STUDY REDISTRIBUTIVE EFFECTS OF INFLATION USING A RANDOMIZED INFORMATION EXPERIMENT ON BANK CLIENTS. ON AVERAGE, INDIVIDUALS ARE WELL INFORMED ABOUT CURRENT INFLATION AND ARE CONCERNED ABOUT ITS IMPACT ON WEALTH. YET, MOST INDIVIDUALS ARE NOT AWARE OF HOW INFLATION ERODES NOMINAL POSITIONS. ONCE THEY RECEIVE INFORMATION ON THIS EROSION CHANNEL, THEY UPDATE PERCEPTIONS AND EXPECTATIONS ABOUT OWN NET NOMINAL POSITIONS. LEARNING ABOUT THE INFLATION-INDUCED EROSION OF NOMINAL POSITIONS CAUSALLY AFFECTS CHOICES IN HYPOTHETICAL REAL-ESTATE TRANSACTIONS AND ACTUAL CONSUMPTION. THE FINDINGS SUGGEST THAT HOUSEHOLD WEALTH MEDIATES THE SENSITIVITY OF CONSUMPTION TO INFLATION ONCE HOUSEHOLDS ARE AWARE OF THE BALANCE-SHEET EFFECTS OF INFLATION.
Regulatory impact analysis (RIA) serves to evaluate whether regulatory actions fulfill the desired goals. Although there are different frameworks for conducting RIA, they are only applicable to regulations whose impact can be measured with structured data. Yet, a significant and increasing number of regulations require firms to comply by communicating textual data to consumers and supervisors. Therefore, we develop a methodological framework for RIA in case of unstructured data based on textual analysis and apply it to a recent financial market regulation: MiFID II.
Firms, researchers, and policy makers often want to measure consumption and especially how events, promotions, or policies affect it. Measuring consumption reactions is often hard. Firms lack access to competitors’ sales data and regularly do not share their own with outsiders. Large samples of smartphone location data could solve this problem. This article describes a research project using smartphone location data to estimate consumption reactions to political conflict during the Trump presidency.
What does your personality reveal about your financial behavior? Evidence from a FinTech experiment
(2022)
We co-operate with a German financial account aggregator (FAA) and conduct a personality survey with 1,700 app users. We combine the survey results with their anonymized transaction data and investigate links between personality traits and spending behavior. Observing many lottery windfalls in our dataset and treating these incidents as real-life experiments, we ask: what do individuals do with unexpected income changes? Our findings suggest that highly extraverted individuals tend to overspend in response to lottery windfalls.
Business practitioners increasingly use Artificial Intelligence (AI) applications to assist customers in making decisions due to their higher prediction quality. Yet, customers are frequently reluctant to rely on advice generated from machines, especially when their decision is at stake. Our study proposes a solution, which is to bring a human expert in the loop of machine advice. We empirically test whether customers are more accepting expert-AI collaborative advice than expert or AI advice.
ETFs Prove Their Worth in Turbulent Times / Eric Leupold, Managing Director / Head of Cash Market, Deutsche Börse AG
Is Human-AI Advice Better than Human or AI Advice? / Cathy Liu Yang, Kevin Bauer, Xitong Li, Oliver Hinz
What Does Your Personality Reveal about Your Financial Behavior? Evidence from a FinTech Experiment / Andreas Hackethal, Fabian Nemeczek, Jan Radermacher
“MiCA” – Regulating the European Markets in Crypto-Assets / Dr. Stefan Berger, Member of the European Parliament, Committee on Economic and Monetary Affairs
News of the efl
MANY PEOPLE CLAIM THAT FIRMS NEED TO EMBRACE DIGITAL TECHNOLOGIES. YET, WE KNOW LITTLE ABOUT DIGITAL EMBRACEMENT, ITS ANTECEDENTS, AND ECONOMIC CONSEQUENCES. THIS ARTICLE PROPOSES A TEXTUAL APPROACH TO MEASURE DIGITAL EMBRACEMENT AND APPLIES IT IN AN EMPIRICAL STUDY COVERING 2,278 PUBLICLY LISTED U.S. FIRMS OVER 17 YEARS. THE RESULTS OUTLINE A VAST HETEROGENEITY IN FIRMS’ DIGITAL EMBRACEMENT IN AND ACROSS INDUSTRIES. REMARKABLY, A HIGHER DIGITAL EMBRACEMENT PREDICTS HIGHER FINANCIAL PERFORMANCE.
RECENTLY, A NEW CLASS OF SYSTEMS FOR SHARED AND COLLABORATIVE DATA MANAGEMENT HAS GAINED MORE AND MORE TRACTION. IN CONTRAST TO CLASSICAL DATA BASE MANAGEMENT SYSTEMS (DBMS), SYSTEMS FOR SHARED DATA NEED TO PROVIDE ADDITIONAL GUARANTEES TO ENSURE THE INTEGRITY OF DATA AND TRANSACTION EXECUTION. IN THIS PAPER, WE PRESENT TRUSTDBLE, A NEW DBMS THAT EXTENDS THE ACID PROPERTIES (I.E., ATOMICITY, CONSISTENCY, ISOLATION, DURABILITY) USED BY CLASSICAL DBMSS WITH A NEW VERIFIABILITY COMPONENT TO ADDRESS THESE NEW REQUIREMENTS.
Jacob Hetzel : But This Time It’s Different – the Rise of the Retail Investor
Carsten Binnig, Muhammad El-Hindi, Simon Karrer, Benedikt Völker : TRUSTDBLE: Towards a New Class of DBMSs for Data Sharing
Simeng Han, Alexander Hillert, Bernd Skiera : Digital Embracement of Firms: Measurement, Antecedents, and Financial Consequences
Interview with Christina Sell : The Role of ESG Data in the Sustainable Transformation of the Real Economy
Interview mit Dr. Stefan Fenner, Managing Director CAPVERIANT GmbH
PHISHING E-MAILS CONTINUE TO POSE A TOP THREAT TO AN ORGANIZATION’S INFORMATION SECURITY. DESPITE TECHNICAL ADVANCES, THE BURDEN OF DETECTING AND DEALING WITH THEM ULTIMATELY REMAINS ON THE SHOULDERS OF THE INDIVIDUAL EMPLOYEE. THIS ARTICLE PRESENTS RESULTS OF A MULTI-METHOD PHISHING EXPERIMENT INCLUDING THE USE OF AN EYE-TRACKING DEVICE TO ASSESS EMPLOYEES’ ACTUAL AWARENESS OF PHISHING AND INFLUENCING FACTORS. PRACTICAL IMPLICATIONS FOR SECURITY TRAININGS ARE ALSO DISCUSSED.
GAMESTOP, A COMPANY THAT WAS PRESUMED DEAD DUE TO SHRINKING PROFITS OFITS BRICK-AND-MORTAR BUSINESS MODEL, HIT THE HEADLINES BECAUSE OF ASHORT SQUEEZE OF ITS STOCK PRICE. THE POPULAR OPINION REPORTED BY MAIN-STREAM MEDIA SUGGESTED THAT THE GAMESTOP FRENZY WAS EXCLUSIVE TO YOUNGAND INEXPERIENCED INVESTORS GATHERING ON THE SOCIAL MEDIA PLATFORMREDDIT. IN CONTRAST, OUR RESULTS INDICATE THAT ALSO MORE EXPERIENCEDRETAIL INVESTORS IN GERMANY PARTICIPATED.
Target2-Securities (T2S) is a project of the Eurosystem (central banking system of the Euro area) aiming to create a common platform to settle securities transactions in central bank money. This platform is another step of the European Union towards harmonization of capital markets and enhancement of competitive conditions in the Euro area. T2S is planned to go live in 2013 and to operate on a full costrecovery and non-profit base.
Inauguration of the newly constructed House of Finance of Goethe University Frankfurt am Main
(2008)
THE TERM WEB 2.0, COINED FOR A VARIETY OF RECENT WEB APPLICATIONS, RESOUNDS THROUGHOUT THE LAND AND FIRES ONLINE MARKETERS’ IMAGINATION IN MANY INDUSTRIES. WE EXAMINE EMPIRICALLY HOW FAR THOSE APPLICATIONS ARE USED BY RETAIL BANKING CUSTOMERS AND WHICH ROLE THEY PLAY IN THE RETAIL CUSTOMERS’ PURCHASE PROCESS.