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on Payment Systems and Financial Technology |
| By: | Aldasoro, Iñaki; Ferrari Minesso, Massimo; Gambacorta, Leonardo; Habib, Maurizio Michael; Cornelli, Giulio |
| Abstract: | Using a new series of crypto shocks, we document that money market funds’ (MMF) assets under management, and traditional financial market variables more broadly, do not react to crypto shocks, whereas stablecoin market capitalization does. U.S. monetary policy shocks, in contrast, drive developments in both crypto and traditional markets. Crucially, the reaction of MMF assets and stablecoin market capitalization to monetary policy shocks is different: while prime-MMF assets rise after a monetary policy tightening, stablecoin market capitalization declines. In assessing the state of the stablecoin market, the risk-taking environment as dictated by monetary policy is much more consequential than flight-to-quality dynamics observed within stablecoins and MMFs. JEL Classification: E50, F30 |
| Keywords: | Bitcoin, crypto, monetary policy shocks, money market funds, stablecoins |
| Date: | 2024–10 |
| URL: | https://d.repec.org/n?u=RePEc:ecb:ecbwps:20242987 |
| By: | Jinglei Huang (Tsinghua University, School of Social Science, Mingzhai Building, Haidian District, Beijing, China); Guofu Tan (University of Southern California, 3620 South Vermont Avenue KAP Hall, 300, Los Angeles, CA 90089-0253, United States); Tat-How Teh (Nanyang Technological University, Division of Economics, 48 Nanyang Ave, 639818 Singapore); Junjie Zhou (Tsinghua University, School of Economics and Management, 30 Shuangqing Road, Haidian District, Beijing, China) |
| Abstract: | Network interoperability between platforms often comes in various possible configurations, including industry-wide, coalition-based, and pairwise interoperability arrangements. We present an approach to incorporate generalized configurations of network interoperability into the analysis of price competition among any number of symmetric platforms. Specifically, the network benefit received by consumers on each platform increases with the effective network size of the platform, which is determined by an interoperability matrix reflecting the connections between platforms. Four key factors—the strength of interoperability, the shape of the network externality function, the interoperability configuration, and the number of platforms—jointly determine the equilibrium prices. Our findings show, among other things, that increased interoperability strength tends to reduce prices and benefit consumers when: (i) the network externality function exhibits strong increasing returns to scale, or (ii) the interoperability configuration includes multiple coalitions. |
| Keywords: | platforms, interoperability, interconnectivity, compatibility, data sharing, learning curve, coalitions |
| JEL: | D43 L15 L20 L50 |
| Date: | 2024–09 |
| URL: | https://d.repec.org/n?u=RePEc:net:wpaper:2403 |
| By: | Pablo Aguilar Perez |
| Abstract: | This paper examines the global spillovers of US monetary policy through the remittance channel. We use Jordà (2005) local projections to assess the effects of a US monetary policy tightening on 8 major remittance-sending countries and 41 recipient countries over the period from January 1997 to December 2017. Our findings reveal that such monetary tightening significantly impacts not only the US economy but also key remittance-sending nations, resulting in a global contractionary effect. The impact on recipient countries varies based on their reliance on remittances, underscoring the dual role of these personal transfers as both an amplifier and a mitigator of the global business cycle. Specifically, countries with high dependency on remittances experience heightened pro-cyclicality, leading to declines in both output and inflation, while those with moderate or low reliance exhibit counter-cyclical behavior. |
| Keywords: | Global spillovers, Remittances, US monetary policy |
| JEL: | F24 E52 F41 F44 |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:drm:wpaper:2024-27 |
| By: | Roth, Felix |
| Abstract: | This paper starts with brief introductory remarks, providing the underpinning of the academic argument and a summary statement of its main findings. It then elaborates on the evolution of existing cryptocurrencies' market capitalization from 2009 until 2022. Third, the paper investigates the economic nature of cryptocurrencies and discusses whether they are money. Fourth, it will discuss the direct and indirect impact of cryptocurrencies on financial markets and global trade. Fifth, the paper offers two main conclusions. |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:uhhhdp:17 |
| By: | Michele Fabi (Telecom Paris, CREST, IP Paris) |
| Abstract: | We analyze the effect of block propagation latency on the performance and design of Nakamoto-style blockchains. Miners strategically choose block capacity, balancing the risk of invalidation from forking with transaction fee income. The model identifies a unique and symmetric Nash equilibrium block capacity, which increases with the ratio of block production time to transmission delay and decreases with the ratio of coinbase reward to transaction fee rate. We endogenize blockchain growth and derive the Fokker-Planck equation for pending mempool data. The results reveal a tradeoff between efficiency (low transaction load) and security (high miner participation). Reducing the coinbase reward while raising transaction fees improves efficiency but may weaken security. We also discuss testable implications and extend the model to include uncle block rewards and discrete latency. |
| Keywords: | Blockchain design, Nakamoto consensus, forks, coinbase, stochastic storage |
| JEL: | C62 C63 G10 G14 |
| Date: | 2024–09–15 |
| URL: | https://d.repec.org/n?u=RePEc:crs:wpaper:2024-10 |
| By: | Julieta Longo (IdIHCS - Instituto de Investigaciones en Humanidades y Ciencias Sociales [La Plata] - CONICET - Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] - FaHCE - Facultad de Humanidades y Ciencias de la Educación [La Plata] - UNLP - Universidad Nacional de la Plata [Argentine], CONICET - Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires]); Mariana Fernández Massi (IdIHCS - Instituto de Investigaciones en Humanidades y Ciencias Sociales [La Plata] - CONICET - Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] - FaHCE - Facultad de Humanidades y Ciencias de la Educación [La Plata] - UNLP - Universidad Nacional de la Plata [Argentine], CONICET - Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires]); Juana Torres-Cierpe (Inria Siège - Inria - Institut National de Recherche en Informatique et en Automatique); Paola Tubaro (CNRS - Centre National de la Recherche Scientifique, ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique, CREST - Centre de Recherche en Économie et Statistique - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - ENSAE Paris - École Nationale de la Statistique et de l'Administration Économique - CNRS - Centre National de la Recherche Scientifique) |
| Abstract: | In recent years, work platforms have gained great visibility and prominence in labour studies and public debate. While there has been a prolific academic production addressing different types of platforms in the local context, microtask platforms have been less explored. These platforms allow large projects to be broken down into small tasks and assigned to anonymous workers, each of whom remotely executes a tiny part of the project and receives compensation for it. In this paper, we dig into the particularities of micro-tasking work in Argentina. Based on a survey of 2118 Spanish-speaking workers using two different micro-tasking platforms -Microworkers (between December 2020 and February 2021) and Clickworker (between March and June 2022)- this paper analyses the results obtained for 225 workers based in Argentina. This survey is part of the scientific project TRIA and it collected data related to the socio-demographic characteristics and the professional and educational backgrounds of respondents, the type of work activities carried out through the internet, and the strategies of use of microtasking platforms. The survey results are complemented by semi-structured interviews with a selected group of participants. In this first approach to the analysis of microtask workers in Argentina, we seek to answer three questions: Who are these workers? What use do they make of these platforms? Why do they work there? |
| Abstract: | En los últimos años, las plataformas de trabajo han cobrado gran visibilidad y protagonismo en los estudios laborales y en el debate público. Si bien ha habido una prolífica producción académica que aborda diferentes tipos de plataformas en el contexto local, las plataformas de microtareas han sido poco estudiadas. Estas plataformas permiten fragmentar grandes proyectos en pequeñas tareas y asignarlas a trabajadores anónimos, cada uno de los cuales ejecuta de forma remota una parte ínfima del proyecto y recibe una compensación por ello. En este artículo analizamos las particularidades del trabajo microtareas en Argentina. A partir de una encuesta realizada a 2118 trabajadores de habla hispana que utilizan dos plataformas de microtareas diferentes -Microworkers (entre diciembre de 2020 y febrero de 2021) y Clickworker (entre marzo y junio de 2022)-, este trabajo analiza los resultados obtenidos para 220 trabajadores radicados en Argentina. Esta encuesta forma parte del proyecto científico TRIA y recogió datos relacionados con las características sociodemográficas y la formación profesional y educativa de las personas encuestadas, el tipo de actividades laborales realizadas a través de internet y las estrategias de uso de las plataformas de microtareas. Los resultados de la encuesta se complementan con entrevistas semiestructuradas a un grupo seleccionado de participantes. En esta primera aproximación al análisis de los trabajadores microtarea en Argentina, buscamos responder a tres preguntas: ¿Quiénes son estos trabajadores? ¿Qué uso hacen de estas plataformas? ¿Por qué trabajan en ellas? |
| Keywords: | virtual services, microtasks, Remote work, plataformas, microtareas, trabajo remoto |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04695086 |
| By: | Gabriele Camera (Economic Science Institute, Chapman University, One University Dr., Orange, CA 92866); Gary Charness (University of California, Santa Barbara, Department of Economics, North Hall 3032 , Santa Barbara, CA 93106); Nir Chemaya (University of California, Santa Barbara, Department of Economics, North Hall 2049, Santa Barbara, CA 93106) |
| Abstract: | We study trading networks where the apportioning of participants’ payments flows, or, validation, relies on one of two governance architectures: centralized, validation authority is concentrated in a single participant, or decentralized, authority is distributed among all participants. Both architectures support multiple Pareto-ranked equilibria, with and without failure to properly apportion payments. In the experiment, decentralization never promoted validation failures, and in fact discouraged them—boosting trading activity—when we introduced pre-play communication, a natural feature of a trading environment. This governance advantage shows that there is scope for decentralization in innovating monetary and financial networks. |
| Keywords: | communication, digital currencies, group decision-making, payments systems. |
| JEL: | D81 |
| Date: | 2024–09 |
| URL: | https://d.repec.org/n?u=RePEc:net:wpaper:2407 |
| By: | Rik Ghosh (Chainrisk); Samrat Gupta (Chainrisk); Arka Datta (Chainrisk); Abhimanyu Nag (Chainrisk); Sudipan Sinha (Chainrisk) |
| Abstract: | Compound Finance is a decentralized lending protocol that enables the secure and efficient borrowing and lending of cryptocurrencies, utilizing smart contracts and dynamic interest rates based on supply and demand to facilitate transactions. The protocol enables users to supply different crypto assets and accrue interest, while borrowers can avail themselves of loans secured by collateralized assets. Our collaboration with Compound Finance focuses on harnessing the power of the Chainrisk simulation engine to optimize risk parameters of the Compound V3 (Comet) protocol. This report delineates a comprehensive methodology aimed at calculating key risk metrics of the protocol. This optimization framework is pivotal for mitigating systemic risks and enhancing the overall stability of the protocol. By leveraging Chainrisk's Cloud Platform, we conduct millions of simulations to evaluate the protocol's Value at Risk (VaR) and Liquidations at Risk (LaR), ultimately providing recommendations for parameter adjustments. |
| Date: | 2024–10 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2410.04085 |
| By: | Costanza Sartoris (Dept. of Management, Venice School of Management, Università Ca' Foscari Venice); Sasha Piccione (Dept. of Management, Venice School of Management, Università Ca' Foscari Venice); Caterina Cruciani (Dept. of Management, Venice School of Management, Università Ca' Foscari Venice) |
| Abstract: | Social media’s architecture, through affordances, plays an important role in influencing the impact platforms have on political discourse. A unique case in the social media realm is Wikipedia, which, after more than 20 years, is still an active and flourishing community, thanks to its affordances and the social dynamics they entail. In this paper we aim to study how Wikipedia’s volunteers (i.e., contributors), with different motives to participate in the project, use and perceive Wikipedia’s affordances to shed light on how trust, as well as trustworthiness, are crucial determinants for the positive political result of Wikipedia’s “selforganizing bureaucracy.” We do so by leveraging on a large survey dataset with 9, 282 Wikipedia’s contributors’ self-reported behaviours and propensities. We explore how different motivations coexist in relationship to trust in the whole system thanks to the affordances it entails, as we believe that it is trust in the system that has been crucial for Wikipedia’s positive survival so far, which, by design, can be assimilated to a public agora. |
| Keywords: | Wikipedia, Social Media, Democracy, Affordance, Trust |
| Date: | 2024–07 |
| URL: | https://d.repec.org/n?u=RePEc:vnm:wpdman:214 |
| By: | Kim, Heesoo |
| Keywords: | OTT service, mobile caching, ABM |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:itsb24:302536 |
| By: | Henrique de Carvalho Videira |
| Abstract: | The lack of proper interoperability poses a significant challenge in leveraging use cases within the blockchain industry. Unlike typical solutions that rely on third parties such as oracles and witnesses, the interpool design operates as a standalone solution that mints, exchanges, and burns (MEB) within the same liquidity pool. This MEB approach ensures that minting is backed by the locked capital supplied by liquidity providers. During the exchange process, the order of transactions in the mempool is optimized to maximize returns, effectively transforming the front-running issue into a solution that forges an external blockchain hash. This forged hash enables a novel protocol, Listrack (Listen and Track), which ensures that ultimate liquidity is always enforced through a solid burning procedure, strengthening a trustless design. Supported by Listrack, atomic swaps become feasible even outside the interpool, thereby enhancing the current design into a comprehensive interoperability solution |
| Date: | 2024–09 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2410.00011 |
| By: | Barth, Andreas; Mansouri, Sasan; Wöbbeking, Fabian |
| JEL: | G01 G21 G28 M41 M48 |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:vfsc24:302383 |
| By: | Sarit Markovich (Kellogg School of Management, Northwestern University, Evanston, IL, USA); Yaron Yehezkel (Coller School of Management, Tel-Aviv University, Ramat-Aviv, Israel) |
| Abstract: | We consider platform competition when platforms can either 1) commercialize users’ data and in return offer their services for free (data-based business model); 2) protect users’ privacy and charge users for participation (subscription-based model); or 3) offer both options (the hybrid model). We find that competition does not always motivate the incumbent platform to protect users’ privacy. When network effects are strong, competition can motivate the incumbent to shift from the subscription-based model to the hybrid model; thereby, increasing data commercialization. Yet, the opposite case occurs when network effects are weak. Moreover, allowing the incumbent to adopt the hybrid model is welfare enhancing when network effects are strong, and welfare reducing (or neutral) otherwise. |
| Keywords: | platforms with network effects; business models; data commercialization |
| JEL: | L1 |
| Date: | 2024–09 |
| URL: | https://d.repec.org/n?u=RePEc:net:wpaper:2402 |
| By: | Elswah, Mona |
| Abstract: | People express their deepest desires, emotions, and imaginative ideas through language. However, Global North languages, particularly English, dominate in knowledge-sharing and technology. This has led to the marginalization of, and inadequate support for, Global South languages in digital spaces, particularly in the realm of content moderation. Content moderation systems often struggle with Global South languages due to inadequate and unrepresentative training data in addition to a lack of understanding of the cultural nuances that inform the meaning of language. In this report, part of a CDT series investigating content moderation biases and disparities in the Global South, we specifically examine the challenges and implications for moderation of content in the Maghrebi Arabic dialects in North Africa. |
| Date: | 2024–09–27 |
| URL: | https://d.repec.org/n?u=RePEc:osf:osfxxx:3n849 |
| By: | Kaneyasu, Keisuke; Koguchi, Teppei |
| Keywords: | digital platform, content moderation, YouTube |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:itsb24:302461 |
| By: | Xu, Meng Meng; Scherer, Elissa; Robbins, Rebecca; Liu, Yuning; Motta, Matt (Boston University School of Public Health); yarnell, Amanda |
| Abstract: | Social media platforms such as TikTok hold tremendous promise for reaching large proportions of the general population with health messaging. However, the proliferation of health misinformation on these platforms poses a significant public health risk. Partnerships between public health experts and social media content creators are a novel intervention which may overcome concerns about misinformation and catalyze the proliferation of evidence-based health messages on social media. To build such partnerships between creators and mental health and health communication experts, The Center for Health Communication (CHC) at the Harvard T.H. Chan School of Public Health held an in-person summit that attracted mental health creators working on TikTok and other social media platforms. Over the course of two days, creators were exposed to techniques for communicating evidence-based research and recommendations that promote mental health. Following the summit, creators who attended the summit were re-contacted for in-depth interviews to assess the summit's impact on their beliefs and behaviors. Results reveal that attending the summit changed creators’ content-making behaviors, increased their sense of responsibility and awareness of their power to impact mental health outcomes among social media users, validated their work and motivation as health communicators, and created a much-needed community of support among peers. Given that social media is a primary source of health information for many people, our findings provide a blueprint for public health communicators hoping to build lasting strategic relationships with today’s most influential media gatekeepers. |
| Date: | 2024–09–22 |
| URL: | https://d.repec.org/n?u=RePEc:osf:socarx:v83ht |
| By: | Timothy DeStefano; Nick Johnstone; Richard Kneller; Jonathan Timmis |
| Abstract: | The arrival of cloud computing provides firms a new way to access digital technologies as digital services. Yet, capital incentive policies present in every OECD country are still targeted towards investments in information technology (IT) capital. If cloud services are partial substitutes for IT investments, the presence of capital incentive policies may unintentionally discourage the adoption of cloud and technologies that rely on the cloud, such as artificial intelligence (AI) and big data analytics. This paper exploits a tax incentive in the UK for capital investment as a quasi-natural experiment to examine the impact on firm adoption of cloud computing, big data analytics and AI. The empirical results find that the policy increased investment in IT capital as would be expected; but it slowed firm adoption of cloud, big data and AI. Matched employer-employee data shows that the policy also led firms to reduce their demand for workers that perform data analytics, but not other types of workers. |
| Keywords: | Capital incentives, Firms, Cloud computing, Artificial Intelligence |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:not:notgep:2024-04 |
| By: | Winder, Samantha G. (University of Washington); Wood, Spencer A (University of Washington); Brownlee, Matthew T.J.; Lia, Emilia H. |
| Abstract: | The US Fish and Wildlife Service (USFWS) manages over 560 National Wildlife Refuges and dozens of National Fish Hatcheries across the United States. Accurately estimating visitor numbers to these areas is essential for understanding current recreation demand, planning for future use, and ensuring the ongoing protection of the habitats, fish, and wildlife that refuges safeguard. However, accurately estimating visitation across the entire refuge system presents significant challenges. Building on previous research conducted on other federal lands, this study evaluates methods to overcome constraints in estimating visitation levels using statistical models and digital mobility data. We develop and test a visitation modeling approach using multiple linear regression, incorporating predictors from eight mobility data sources, including four social media platforms, one community science platform, and three mobile phone location datasets from two commercial vendors. We find that the number of observed visitors to refuges correlates with the volume of data from each mobility source. However, neither social media nor commercial mobile phone location data alone provide reliable proxies for visitation due to inconsistent relationships with observed visitation; these relationships vary by data source, refuge, and time. Our results demonstrate that a visitation model integrating multiple mobility datasets accounts for this variability and outperforms models based on individual mobility datasets. We find that a refuge-level effect is the single most important predictor, suggesting that including site characteristics in future models will make them more generalizable. We conclude that statistical models which incorporate digital mobility data have the potential to improve the accuracy of visitor estimates, standardize data collection methods, and simplify the estimation process for agency staff. |
| Date: | 2024–09–26 |
| URL: | https://d.repec.org/n?u=RePEc:osf:socarx:7crka |
| By: | Vincent Meisner; Pascal Pillath |
| Abstract: | We design the profit-maximizing mechanism to sell an excludable and non-rival good with network effects. Buyers have heterogeneous private values that depend on how many others also consume the good. In optimum, an endogenous number of the highest types shares consumption, and we provide an algorithm that implements this allocation in dominant strategies. We apply our insights to digital content creation, and we are able to rationalize features seen in monetization schemes in this industry such as voluntary contributions, community subsidies, and exclusivity bids. |
| Keywords: | Mechanism design, non-rival goods, club goods, network effects, digital content, creator economy |
| JEL: | D82 |
| Date: | 2024–09–20 |
| URL: | https://d.repec.org/n?u=RePEc:bdp:dpaper:0049 |
| By: | Kim, Sohui; Ryu, Min Ho |
| Keywords: | Digital Transformation, Online Platform, Traditional Market, Social Representation Theory, Core-Periphery Analysis |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:itsb24:302521 |
| By: | Lee Braine; Shreepad Shukla; Piyush Agrawal |
| Abstract: | In the UK, the Bank of England and HM Treasury are exploring a potential UK retail CBDC, the digital pound, with one of their motivations being the potential role of the digital pound as an anchor for monetary and financial stability. In this paper, we explore three elements for anchoring money (singleness of money, official currency as the unit of account, and safety and soundness of financial institutions and payment systems) that maintain public trust and confidence in private UK retail digital money and the financial system. We also identify core capabilities (comprising on-demand interoperability across issuers and forms of private money, settlement finality in wholesale central bank money, and access to physical cash) and appropriate measures (comprising customer funds protection, robust regulation, effective supervision, safe innovation in money and payments, and the central bank as the lender of last resort) that together provide the foundations for the three elements for anchoring money. Our preliminary analysis concludes that anchoring private UK retail digital money is supported by these elements, capabilities and measures. Further work could include public-private collaboration to explore anchoring all forms of UK retail digital money. |
| Date: | 2024–09 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2409.18532 |
| By: | Chou, Yuntsai; Lin, Wei |
| Keywords: | digital marketing, electronic word of mouth, box office revenue, random forest model, polynomial regression, Maoyan, Douban |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:itsb24:302460 |
| By: | W. Ahmed; D. Önkal; R. Das (Audencia Business School); S. Krishnan; F. Olan; M. Mariann Hardey; A. Alex Fenton |
| Abstract: | Given the role of technology and social media during the COVID-19 pandemic, the aim of this paper is to conduct a social network analysis of four COVID-19 conspiracy theories that were spread during the pandemic between March to June 2020. Specifically, the paper examines the 5G, Film Your Hospital, Expose Bill Gates, and the Plandemic conspiracy theories. Identifying disinformation campaigns on social media and studying their tactics and composition is an essential step toward counteracting such campaigns. The current study draws upon data from the Twitter Search API and uses social network analysis to examine patterns of disinformation that may be shared across social networks with sabotaging ramifications. The findings are used to generate the Framework of Disinformation Seeding and Information Diffusion for understanding disinformation and the ideological nature of conspiracy networks that can support and inform future pandemic preparedness and counteracting disinformation. Furthermore, a Digital Mindfulness Toolbox (DigiAware) is developed to support individuals and organisations with their information management and decision-making both in times of crisis and as strategic tools for potential crisis preparation. |
| Keywords: | COVID-19, Misinformation, Fake news, Twitter, Data Analytics, Mindfulness |
| Date: | 2023–05 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04693779 |
| By: | Abraham Ramos-Torres; Laura N. Montoya |
| Abstract: | The growth of the tech startup ecosystem in Latin America (LATAM) is driven by innovative entrepreneurs addressing market needs across various sectors. However, these startups encounter unique challenges and risks that require specific management approaches. This paper explores a case study with the Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) metrics within the context of the online food delivery industry in LATAM, serving as a model for valuing startups using the Discounted Cash Flow (DCF) method. By analyzing key emerging powers such as Argentina, Colombia, Uruguay, Costa Rica, Panama, and Ecuador, the study highlights the potential and profitability of AI-driven startups in the region through the development of a ranking of emerging powers in Latin America for tech startup investment. The paper also examines the political, economic, and competitive risks faced by startups and offers strategic insights on mitigating these risks to maximize investment returns. Furthermore, the research underscores the value of diversifying investment portfolios with startups in emerging markets, emphasizing the opportunities for substantial growth and returns despite inherent risks. |
| Date: | 2024–09 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2410.03552 |
| By: | Kim, Moogeon; Ryu, Min Ho |
| Keywords: | Internet Platform, Social Innovation Activities, SDT, Participatory Platform |
| Date: | 2024 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:itsb24:302524 |
| By: | Tobias Werner; Ivan Soraperra; Emilio Calvano; David C. Parkes; Iyad Rahwan |
| Abstract: | Conversational AI models are becoming increasingly popular and are about to replace traditional search engines for information retrieval and product discovery. This raises concerns about monetization strategies and the potential for subtle consumer manipulation. Companies may have financial incentives to steer users toward search results or products in a conversation in ways that are unnoticeable to consumers. Using a behavioral experiment, we show that conversational AI models can indeed significantly shift consumer preferences. We discuss implications and ask whether regulators are sufficiently prepared to combat potential consumer deception. |
| Date: | 2024–09 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2409.12143 |
| By: | Sahar Arshad; Nikhar Azhar; Sana Sajid; Seemab Latif; Rabia Latif |
| Abstract: | In the modern economic landscape, integrating financial services with Financial Technology (FinTech) has become essential, particularly in stock trend analysis. This study addresses the gap in comprehending financial dynamics across diverse global economies by creating a structured financial dataset and proposing a cross-lingual Natural Language-based Financial Forecasting (NLFF) pipeline for comprehensive financial analysis. Utilizing sentiment analysis, Named Entity Recognition (NER), and semantic textual similarity, we conducted an analytical examination of news articles to extract, map, and visualize financial event timelines, uncovering the correlation between news events and stock market trends. Our method demonstrated a meaningful correlation between stock price movements and cross-linguistic news sentiments, validated by processing two-year cross-lingual news data on two prominent sectors of the Pakistan Stock Exchange. This study offers significant insights into key events, ensuring a substantial decision margin for investors through effective visualization and providing optimal investment opportunities. |
| Date: | 2024–09 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2410.00024 |