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Displaying results 1 to 25 of 75.

  1. Reading minds :
    a cognitive-digital approach to the study of literature /
    Author: Azar, Martín
    Published: 2019.

    Location:
    Freie Universität Berlin, Universitätsbibliothek, Zentralbibliothek
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    Source: Philologische Bibliothek, FU Berlin
    Language: English
    Media type: Dissertation
    Format: Online
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    Subjects: cognitive science; data science; evolutionary psychology; mind; linguistics; literature; natural language processing; reading; Literatur; Empirische Literaturwissenschaft; Kognitive Poetik; Digitale Sprachverarbeitung
    Scope: 1 Online-Ressource (229, 5 Seiten) :, Diagramme.
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    Dissertation, Freie Universität Berlin, 2019
  2. Reading minds
    a cognitive-digital approach to the study of literature
    Author: Azar, Martín
    Published: 2019

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    Universitätsbibliothek Passau
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    Source: Union catalogues
    Language: English
    Media type: Dissertation
    Format: Online
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    Subjects: cognitive science; data science; evolutionary psychology; mind; linguistics; literature; natural language processing; reading; Kognitive Poetik; Empirische Literaturwissenschaft; Literatur; Digitale Sprachverarbeitung
    Scope: 1 Online-Ressource (229, 5 Seiten), Diagramme
    Notes:

    Dissertation, Freie Universität Berlin, 2019
  3. Mapping technologies to business models
    an application to clean technologies and entrepreneurship
    Author: Dörr, Julian
    Published: [2022]; 2023
    Publisher:  ZEW - Leibniz Centre for European Economic Research, Mannheim ; Universitätsbibliothek Mannheim

    Theory suggests that new market entrants play a special role for the creation of new technological pathways required for the development and diffusion of more sustainable forms of production, consumption, mobility and housing. Unconstrained by past... more

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    Max-Planck-Institut für Innovation und Wettbewerb / Max-Planck-Institut für Steuerrecht und Öffentliche Finanzen, Bibliothek
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    Theory suggests that new market entrants play a special role for the creation of new technological pathways required for the development and diffusion of more sustainable forms of production, consumption, mobility and housing. Unconstrained by past technological investments, entrants can introduce more radical environmental innovations than incumbent firms whose past R&D decisions make them locked into path-dependent trajectories of outdated technologies. Yet, little research exists which provides empirical evidence on new ventures' role in the technological transition towards decarbonization and dematerialization. This is mainly because patenting is rare among start-ups and also no historical track record about their R&D investments exists, both data sources commonly used to determine a company's technological footprint. To enable the identification of clean technology-oriented market entrants and to better understand their role as adopters and innovators for sustainable market solutions, this paper presents framework that systematically maps new ventures' business models to a set of well-defined clean technologies. For this purpose, the framework leverages textual descriptions of new entrants' business summaries that are typically available upon business registration and allow for a good indication of their technological orientation. Furthermore, the framework uses textual information from patenting activities of established innovators to model semantic representations of technologies. Mapping company and technology descriptions into a common vector space enables the derivation of a fine-granular measureof entrants' technological orientation. Applying the framework to a survey of German start-up firms suggests that clean technology-oriented market entrants act as accelerators of technical change: both by virtue of their existing products and services and through a high propensity to introduce additional environmental innovations.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
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    Series: Discussion paper / ZEW ; no. 22, 057 (11/2022)
    Other subjects: Clean technologies; technological orientation; environmental innovation; sustainable entrepreneurship; text modeling; natural language processing; Graue Literatur
    Scope: 1 Online-Ressource (38 Seiten), Illustrationen
  4. Reading minds
    a cognitive-digital approach to the study of literature
    Author: Azar, Martín
    Published: 2019

    Location:
    Freie Universität Berlin, Universitätsbibliothek
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    Source: Philologische Bibliothek, FU Berlin
    Language: English
    Media type: Dissertation
    Format: Online
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    Subjects: cognitive science; data science; evolutionary psychology; mind; linguistics; literature; natural language processing; reading; Kognitive Poetik; Empirische Literaturwissenschaft; Literatur; Digitale Sprachverarbeitung
    Scope: 1 Online-Ressource (229, 5 Seiten), Diagramme
    Notes:

    Dissertation, Freie Universität Berlin, 2019
  5. Reading minds
    a cognitive-digital approach to the study of literature
    Author: Azar, Martín
    Published: 2019

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    Freie Universität Berlin, Universitätsbibliothek
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    Source: Philologische Bibliothek, FU Berlin
    Language: English
    Media type: Dissertation
    Subjects: cognitive science; data science; evolutionary psychology; mind; linguistics; literature; natural language processing; reading; Literatur; Empirische Literaturwissenschaft; Digitale Sprachverarbeitung; Kognitive Poetik
    Scope: 229, 5 Seiten, Diagramme
    Notes:

    Dissertation, Freie Universität Berlin, 2019
  6. Does sentiment help in asset pricing?
    a novel approach using large language models and market-based labels
    Author: Audrino, Francesco; Schüttler, Jule; Sigrist, Fabio Roman Albert
    Published: [2024]
    Publisher:  Swiss Finance Institute, Geneva

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Swiss Finance Institute research paper series ; no 24, 69
    Subjects: natural language processing; large language models; DeBERTa; asset pricing
    Scope: 1 Online-Ressource (circa 43 Seiten), Illustrationen
  7. ACAS
    a comprehensive framework for automatic abstract screening in systematic literature reviews
    Author: Serrato-Fonseca, Julia Isabel; Anaya-Arenas, Ana María; Ortmann, Janosch; Ruiz, Angel
    Published: [2024]
    Publisher:  GERAD, HÉC Montréal, Montréal (Québec), Canada

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Les cahiers du GERAD ; G-2024, 53 (Septembre 2024)
    Subjects: Abstract Screening; citation screening; Systematic Literature Reviews; natural language processing; machine learning
    Scope: 1 Online-Ressource (circa 21 Seiten), Illustrationen
  8. Beyond the fundamentals
    how media-driven narratives influence cross-border capital flows
    Author: Agarwal, Isha; Chen, Wentong; Prasad, Eswar S.
    Published: November 2024
    Publisher:  IZA - Institute of Labor Economics, Bonn, Germany

    We provide the first empirical evidence on how media-driven narratives influence cross-border institutional investment flows. Applying natural language processing techniques to one-and-a-half million newspaper articles, we document substantial... more

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    We provide the first empirical evidence on how media-driven narratives influence cross-border institutional investment flows. Applying natural language processing techniques to one-and-a-half million newspaper articles, we document substantial cross-country variation in sentiment and risk indices constructed from domestic media narratives about China in 15 countries. These narratives significantly affect portfolio flows, even after controlling for macroeconomic and financial fundamentals. This impact is smaller for investors with greater familiarity or private information about China and larger during periods of heightened uncertainty. Political and environmental narratives are as influential as economic narratives. Investors react more sharply to negative narratives than positive ones.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Discussion paper series / IZA ; no. 17442
    Subjects: media narratives; cross-border flows; institutional investors; portfolio investment in China; textual analysis; natural language processing
    Scope: 1 Online-Ressource (circa 89 Seiten), Illustrationen
  9. Inside the boardroom
    evidence from the board structure and meeting minutes of community banks
    Author: Bennett, Rosalind L.; Puri, Manju; Soto, Paul E.
    Published: September 24, 2024
    Publisher:  Divisions of Research & Statistics and Monetary Affairs, Federal Reserve Board, Washington, D.C.

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Edition: This version: September 24, 2024
    Series: Finance and economics discussion series ; 2024, 085
    Subjects: corporate governance; board of directors; banking; machine learning; natural language processing
    Scope: 1 Online-Ressource (circa 35 Seiten), Illustrationen
  10. Machine talk
    how verbal embodiment in conversational AI shapes consumer-brand relationships
    Author: Bergner, Anouk Samantha; Hildebrand, Christian; Häubl, Gerald
    Published: [2024]
    Publisher:  Netspar, Network for Studies on Pensions, Aging and Retirement, [Tilburg]

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Array ; 2024, 026 (08)
    Subjects: AI; conversational interfaces; chatbots; natural language processing; brand intimacy; consumer-brand relationships; technology-mediated branding
    Scope: 1 Online-Ressource (circa 24 Seiten), Illustrationen
  11. Na era das máquinas, o emprego é de quem?
    estimação da probabilidade de automação de ocupações no Brasil
    Author: Albuquerque, Pedro H.; Saavedra, Cayan Atreio Portela Bárcena; Morais, Rafael Lima de; Alves, Patrick Franco; Peng, Yaohao
    Published: março de 2019
    Publisher:  Instituto de Pesquisa Econômica Aplicada, Brasília

    This work aimed to reproduce the methodology of Carl Benedikt Frey and Michael Osborne of 2017 for estimating the automation probabilities of occupations in Brazil. These estimates are potentially important for professionals and policymakers because... more

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    This work aimed to reproduce the methodology of Carl Benedikt Frey and Michael Osborne of 2017 for estimating the automation probabilities of occupations in Brazil. These estimates are potentially important for professionals and policymakers because they can guide the career of a worker, as well as define priority courses that educational institutions should offer in order to maximize employment opportunities in the country. We consulted the opinion of 69 scholars and professionals that are experts in machine learning to ground the estimation the automation probability of Brazilian occupations. The findings indicate that a large part of the occupations can be automated in the next years. In addition, it can be seen that these professions with a higher risk of automation show a trend of growth over time, which may result in a high level of unemployment in the coming years if professionals and the government do not prepare for this scenario.

     
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    Source: Union catalogues
    Language: Portuguese
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/211408
    Series: Texto para discussão / Ipea ; 2457
    Subjects: automation; labor market; artificial intelligence; natural language processing; technical expertise; text mining
    Scope: 1 Online-Ressource (circa 40 Seiten), Illustrationen
  12. Analysis of ESG disclosures in pillar 3 reports
    a text mining approach
    Author: Moreno Bernal, Ángel Iván; Caminero García, Teresa
    Published: 2022
    Publisher:  Banco de España, Madrid

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Documentos ocasionales / Banco de España ; no. 2204
    Subjects: ESG; environment; social; governance; sustainability; climate change; carbon emissions; environmental risks; physical risk; transition risk; natural language processing; Pillar 3
    Scope: 1 Online-Ressource (circa 28 Seiten), Illustrationen
  13. The World Health Organization in a post-COVID-19 era
    en exploration of public engagement on Twitter
    Author: Warin, Thierry
    Published: [2022]
    Publisher:  CIRANO, [Montréal]

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    Source: Union catalogues
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    Series: Working paper / CIRANO ; 2022s, 16
    Subjects: Legitimacy; multilateralism; natural language processing; world health organization
    Scope: 1 Online-Ressource (circa 22 Seiten), Illustrationen
  14. What news can really tell us?
    evidence from a news-based sentiment index for financial markets analysis
    Author: Marszal, Anna
    Published: 2022
    Publisher:  Narodowy Bank Polski, Warsaw

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: NBP working paper ; no. 349
    Subjects: market sentiment; natural language processing; lexicon-based models
    Scope: 1 Online-Ressource (circa 34 Seiten), Illustrationen
  15. Central bank communication
    one size does not fit all
    Author: Huang, Joan; Simon, John
    Published: May 2021
    Publisher:  Reserve Bank of Australia, [Sydney]

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    Source: Union catalogues
    Language: English
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    Format: Online
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    Series: Research discussion paper / Reserve Bank of Australia ; RDP 2021, 05
    Subjects: central bank communications; machine learning; natural language processing; readability; central bank transparency
    Scope: 1 Online-Ressource (circa 50 Seiten), Illustrationen
  16. Using online vacancy and job applicants' data to study skills dynamics
    Author: Bennett, Fidel; Escudero, Verónica; Liepmann, Hannah; Podjanin, Ana
    Published: August 2022
    Publisher:  IZA - Institute of Labor Economics, Bonn, Germany

    We assess whether online data on vacancies and applications to a job board are a suitable source for studying skills dynamics outside of Europe and the United States, where a rich literature has examined skills dynamics using online vacancy data.... more

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    We assess whether online data on vacancies and applications to a job board are a suitable source for studying skills dynamics outside of Europe and the United States, where a rich literature has examined skills dynamics using online vacancy data. Yet, the knowledge on skills dynamics is scarce for other countries, irrespective of their level of development. We first propose a taxonomy that systematically aggregates three broad categories of skills - cognitive, socioemotional and manual - and fourteen commonly observed and recognizable skills sub-categories, which we define based on unique skills identified through keywords and expressions. Our aim is to develop a taxonomy that is comprehensive but succinct, suitable for the labour market realities of developing and emerging economies and adapted to online vacancies and applicants' data. Using machine-learning techniques, we then develop a methodology that allows implementing the skills taxonomy in online vacancy and applicants' data, thus capturing both the supply and the demand side. Implementing the methodology with Uruguayan data from the job board BuscoJobs, we assign skills to 64 per cent of applicants' employment spells and 94 per cent of vacancies. We consider this a successful implementation since the exploited text information often does not follow a standardized format. The advantage of our approach is its reliance on data that is currently available in many countries across the world, thereby allowing for country-specific analysis that does not need to assume that occupational skills bundles are the same across countries. To the best of our knowledge, we are the first to explore this approach in the context of emerging economies.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/265727
    Series: Discussion paper series / IZA ; no. 15506
    Subjects: online data; job board; skills dynamics; skills taxonomy; natural language processing
    Scope: 1 Online-Ressource (circa 54 Seiten), Illustrationen
  17. Cheap Talk in Corporate Climate Commitments
    The effectiveness of climate initiatives
    Author: Bingler, Julia Anna; Kraus, Mathias; Leippold, Markus; Webersinke, Nicolas
    Published: [2022]
    Publisher:  SSRN, [S.l.]

    Corporate climate disclosures are considered an essential prerequisite to managing climate-related financial risks. At the same time, current disclosures are imprecise, inaccurate, and greenwashing-prone. We introduce a deep learning approach to... more

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    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Corporate climate disclosures are considered an essential prerequisite to managing climate-related financial risks. At the same time, current disclosures are imprecise, inaccurate, and greenwashing-prone. We introduce a deep learning approach to enable comprehensive climate disclosure analyses by fine-tuning the \climatebert model. From 14,584 annual reports of the MSCI World index firms from 2010 to 2020, we extract the amount of cheap talk, defined as the share of precise versus imprecise climate commitments. We then test various hypotheses by linking three different climate initiatives, namely the Task Force on Climate-Related Financial Disclosure, the Science-Based Targets Initiative, and the Climate Action 100+, to the economic channels of signaling, credibility, and active engagement. In particular, we ask whether these initiatives decrease cheap talk by disciplining companies in how they define and disclose actionable climate commitments in their annual reports

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
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    Series: Swiss Finance Institute Research Paper ; No. 22-54
    Subjects: Corporate climate disclosures; voluntary reporting; commitments; TCFD recommendations; textual analysis; natural language processing
    Other subjects: Array
    Scope: 1 Online-Ressource (60 p)
    Notes:

    Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 2, 2022 erstellt
  18. Analysing monetary policy statements of the Reserve Bank of India
    Author: Mathur, Aakriti; Sengupta, Rajeswari
    Published: [2019]
    Publisher:  Graduate Institute of International and Development Studies, International Economics Department, Geneva, Switzerland

    In this paper we quantitatively analyse monetary policy statements of the Reserve Bank of India (RBI) from 1998 to 2017, across the regimes of five governors. We first ask whether the content and focus of the statements have changed with the adoption... more

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    In this paper we quantitatively analyse monetary policy statements of the Reserve Bank of India (RBI) from 1998 to 2017, across the regimes of five governors. We first ask whether the content and focus of the statements have changed with the adoption of inflation-targeting as a framework for conducting monetary policy. Next, we study the influence of various aspects of monetary policy communication on financial markets. Using natural language processing tools, we construct measures of linguistic and structural complexity that capture governor-specific trends in communication. We find that while RBI's monetary policy communication is linguistically complex on average, the length of monetary policy statements has gone down and readability has improved significantly in the recent years. We also find that there has been a persistent semantic shift in RBI's monetary policy communication since the adoption of inflation-targeting. Finally, using a simple regression model we find that lengthier and less readable statements are linked to both higher trading volumes and higher returns volatility in the equity markets, though the effects are not persistent.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/201704
    Edition: This version: May 8, 2019
    Series: Working paper series / Graduate Institute of International and Development Studies, International Economics Department ; no. IHEIDWP2019, 08
    Subjects: Monetary policy; central bank communication; linguistic complexity; financial markets; textual analysis; natural language processing
    Scope: 1 Online-Ressource (circa 42 Seiten), Illustrationen
  19. Popular music, sentiment, and noise trading
    Author: Kaivanto, Kim; Zhang, Peng
    Published: [2019]
    Publisher:  Lancaster University Management School, Lancester

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Economics working paper series ; 2019/020
    Subjects: investor sentiment; stock-return predictability; big data; textual analysis; natural language processing; popular music; noise trading; behavioral finance
    Scope: 1 Online-Ressource (circa 42 Seiten), Illustrationen
  20. The network of firms implied by the news
    Author: Schwenkler, Gustavo; Zheng, Hannan
    Published: [2020]
    Publisher:  European Systemic Risk Board, Frankfurt am Main, Germany

    We show that the news is a rich source of data on distressed firm links that drive firm- level and aggregate risks. The news tends to report about links in which a less popular firm is distressed and may contaminate a more popular firm. This... more

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    We show that the news is a rich source of data on distressed firm links that drive firm- level and aggregate risks. The news tends to report about links in which a less popular firm is distressed and may contaminate a more popular firm. This constitutes a contagion channel that yields predictable returns and downgrades. Shocks to the degree of news-implied firm connectivity predict increases in aggregate volatilities, credit spreads, and default rates, and declines in output. To obtain our results, we propose a machine learning methodology that takes text data as input and outputs a data-implied firm network.

     
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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9789294721297
    Other identifier:
    hdl: 10419/244260
    Series: Working paper series / ESRB, European Systemic Risk Board, European System of Financial Supervision ; no 108 (January 2020)
    Subjects: Networks; contagion; predictability; risk measurement; machine learning; natural language processing
    Scope: 1 Online-Ressource (circa 61 Seiten), Illustrationen
  21. The legitimacy of wind power in Germany
    Author: Dehler-Holland, Joris; Okoh, Marvin; Keles, Dogan
    Published: [2021]
    Publisher:  Karlsruher Institut für Technologie (KIT), Karlsruhe

    Legitimacy is a crucial factor determining the success of technologies in the early stages of development and for maintaining resource flows as well as public and political support across the technology life cycle. In sustainability transitions that... more

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    Karlsruher Institut für Technologie, KIT-Bibliothek
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    Legitimacy is a crucial factor determining the success of technologies in the early stages of development and for maintaining resource flows as well as public and political support across the technology life cycle. In sustainability transitions that unfold over long periods of time, the maintenance of legitimacy of technologies identified as vital for sustainability becomes a key challenge. In the energy sector, wind power contributes to the transition to an energy system with low greenhouse gas emissions. In Germany, wind power recently faced a series of lawsuits and decreasing investment activity. Therefore, we assess the legitimacy of wind power in Germany by analyzing newspaper articles from four national newspapers from 2009 to 2018. A large amount of articles motivates the use of topic models and statistical methods to shed light on the changing alignment of wind power with its context. The results show that various issues temporarily gain prominence on the agenda. Lately, the legitimacy of wind power in Germany is increasingly challenged by adverse effects on humans, animals, and landscapes. Policymakers and project developers may address aspects of pragmatic legitimacy, such as civic participation and the local distribution of profits.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/229440
    Series: Working paper series in production and energy ; no. 54 (January 2021)
    Subjects: Technology legitimacy; wind power Germany; structural topic model; natural language processing; text mining
    Scope: 1 Online-Ressource (33 Seiten), Illustrationen
  22. Línguas naturais e máquinas artificiais: aplicação de técnicas de mineração de texto para a classificação de sentenças judiciais brasileiras
    Author: Gomes, Lucas Moreira; Sá, Jader Martins Camboim de; Peng, Yaohao
    Published: novembro de 2020
    Publisher:  Instituto de Pesquisa Econômica Aplicada, Brasília

    This paper investigated the usage of artificial intelligence and text mining techniques for classification of court judgments and discussed potential alternative applications in formulation and evaluation of public policies. Besides, we built a... more

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    This paper investigated the usage of artificial intelligence and text mining techniques for classification of court judgments and discussed potential alternative applications in formulation and evaluation of public policies. Besides, we built a survey of studies related to Jurimetry based on the specialized scientific literature and detailed the operationalization of the of textual data treatment, as well as basic concepts and methods of text mining. Finally, we performed an empirical analysis of classification of legal texts into four categories using real data from the Brazilian 2nd Federal Regional Court collected by IpeaJus, the database about the Brazilian Justice System from Ipea, discussing the results in light of various quantitative evaluation metrics and prospects for future developments in different contexts.

     
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    Source: Union catalogues
    Language: Portuguese
    Media type: Book
    Format: Online
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    hdl: 10419/240806
    Series: Texto para discussão / Ipea ; 2612
    Subjects: natural language processing; document classification; legal proceedings; jurimetry; Big Data
    Scope: 1 Online-Ressource (circa 48 Seiten), Illustrationen
  23. The narrative of the energy efficiency gap
    Author: Houde, Sébastien; Wekhof, Tobias
    Published: [2021]
    Publisher:  CER-ETH - Center of Economic Research at ETH Zurich, Zürich

    For more than forty years analysts have pointed out that society might be too slow in adopting energy efficiency technologies, a phenomenon known as the Energy Efficiency Gap. There are persistent market barriers that impede these efforts. Eliciting... more

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    For more than forty years analysts have pointed out that society might be too slow in adopting energy efficiency technologies, a phenomenon known as the Energy Efficiency Gap. There are persistent market barriers that impede these efforts. Eliciting these barriers and their heterogeneity is key for policy design. In this paper, we use narratives, a novel approach based on unstructured text answers in surveys, to elicit the barriers and determinants of energy efficiency investments. Using recent advances in Natural Language Processing (NLP), we turn narratives into quantifiable metrics to rank households' barriers and determinants. We find that financial motives are not the primary barriers or determinants of energy efficiency investments. Instead, we find that such investments are highly opportunistic and co-benefits, such as ecological concerns and comfort, also play an important role. Although there is substantial heterogeneity across the population in the type of barriers and determinants, demographics and building characteristics poorly predict heterogeneity patterns. This has important implications for the targeting of policies. Narratives could be a novel and effective way to implement policy targeting.

     
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    Language: English
    Media type: Book
    Format: Online
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    hdl: 10419/238216
    Series: Working paper / CER-ETH - Center of Economic Research at ETH Zurich ; 21, 359 (July 2021)
    Subjects: energy efficiency gap; natural language processing; policy targeting; open-ended questions
    Scope: 1 Online-Ressource (circa 49 Seiten), Illustrationen
  24. Deciphering Federal Reserve communication via text analysis of alternative FOMC statements
    Author: Doh, Taeyoung; Song, Dongho; Yang, Shu-Kuei
    Published: 2020
    Publisher:  Federal Research Bank of Kansas City, Kansas City, Mo.

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    Series: KcFED research working papers ; RWP 20, 14 (October 2020)
    Subjects: Alternative FOMC statements; counterfactual policy evaluation; monetary policy stance; text analysis; natural language processing
    Scope: 1 Online-Ressource (circa 37 Seiten), Illustrationen
  25. StockTwits classified sentiment and stock returns
    Author: Divernois, Marc-Aurèle; Filipović, Damir
    Published: [2021]
    Publisher:  Swiss Finance Institute, Geneva

    We classify the sentiment of a large sample of StockTwits messages as bullish,bearish or neutral, and create a stock-aggregate daily sentiment polarity measure.Polarity is positively associated with contemporaneous stock returns. On average,polarity... more

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    We classify the sentiment of a large sample of StockTwits messages as bullish,bearish or neutral, and create a stock-aggregate daily sentiment polarity measure.Polarity is positively associated with contemporaneous stock returns. On average,polarity is not able to predict next-day stock returns. But when we focus on specificevents, defined as sudden peaks of message volume, polarity has predictive power onabnormal returns. Polarity-sorted portfolios illustrate the economic relevance of our sentiment measure

     
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    Series: Research paper series / Swiss Finance Institute ; no 21, 33
    Subjects: investor sentiment; event study; social media; micro-blogs; natural language processing
    Scope: 1 Online-Ressource (circa 49 Seiten), Illustrationen