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Displaying results 1 to 12 of 12.

  1. 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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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    VS 782
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    Source: Union catalogues
    Language: English
    Media type: Book
    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
  2. 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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    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
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    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
  3. 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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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    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
  4. 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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    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
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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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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
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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
  5. Role of the media in the inflation expectation formation process
    Author: Yukhymenko, Tetiana
    Published: June 2021
    Publisher:  Graduate Institute of International and Development Studies, International Economics Department, Geneva, Switzerland

    This research highlights the role played by the media in the inflation expectations formation process of different types of respondents in Ukraine. Using a large news corpus and machine learning techniques I constructed news-based measures... more

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    This research highlights the role played by the media in the inflation expectations formation process of different types of respondents in Ukraine. Using a large news corpus and machine learning techniques I constructed news-based measures transforming text into quantitative indicators, which reflect news topics relevant to inflation expectations. As such, I found evidence that the different news topics have an impact on inflation expectations and can explain part of their variance. Thus, my results can help understand inflation expectations, especially as anchoring inflation expectations remains a key challenge for central banks.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/238104
    Series: Working paper series / Graduate Institute of International and Development Studies, International Economics Department ; no. HEIDWP2021, 13
    Subjects: inflation expectations; natural language processing; textual data; machine learning
    Scope: 1 Online-Ressource (circa 38 Seiten), Illustrationen
  6. The strength of weak and strong ties in bridging geographic and cognitive distances
    Author: Abbasiharofteh, Milad; Kinne, Jan; Krüger, Miriam
    Published: 2021
    Publisher:  ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung GmbH Mannheim, Mannheim, Germany

    The proximity framework has attracted considerable attention in a scholarly discourse on the driving forces of knowledge exchange tie formation. It has been discussed that too much proximity is negatively associated with the effectiveness of a... more

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    The proximity framework has attracted considerable attention in a scholarly discourse on the driving forces of knowledge exchange tie formation. It has been discussed that too much proximity is negatively associated with the effectiveness of a knowledge exchange relation. However, little is known about the key factors that trigger the formation of the boundaryspanning knowledge ties. Going beyond the "dyadic" perspective on proximity dimensions, this paper argues that the key factor in bridging distances may reside at the "triadic" level. We build on the notion of "the strength of weak ties" and its recent development by investigating the innovative performance and relations of more than 600,000 German firms. We explored and extracted information from the textual and relational content of firms' websites by using machine learning techniques and hyperlink analysis. We thereby proxied the innovative performance of firms using a deep learning text analysis approach and showed that the triadic property of bridging dyadic relations is a reliable predictor of firms' innovativeness. Relations embedded in cliques (i.e., strong ties) that connect cognitively distant firms are more strongly associated with firms' innovation, whereas inter-regional relations connecting different parts of a network (i.e., weak ties) are positively associated with firms' innovative performance. Also, the results suggest that a combination of strong inter-community and weak inter-regional relations are more positively related with firms' innovativeness compared to the combination of other relation types.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
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    hdl: 10419/234984
    Series: Discussion paper / ZEW ; no. 21, 049 (06/2021)
    Subjects: weak and strong ties; proximity; knowledge exchange; innovation; web mining; natural language processing
    Scope: 1 Online-Ressource (42 Seiten), Illustrationen
  7. Suptech tools for prudential supervision and their use during the pandemic
    Author: Beerman, Kenton; Prenio, Jermy; Zamil, Raihan
    Published: 2021
    Publisher:  Bank for International Settlements, Financial Stability Institute, [Basel]

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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9789292595272
    Series: FSI insights on policy implementation ; no 37 (December 2021)
    Subjects: Suptech; prudential supervision; data analytics; innovation; AI; artificial intelligence; ML; machine learning; NLP; natural language processing
    Scope: 1 Online-Ressource (circa 26 Seiten), Illustrationen
  8. Semantic networks for automatic coding (v2)
    Author: Willenborg, Leon
    Published: December 15, 2021
    Publisher:  Statistics Netherlands, The Hague

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Discussion paper / Statistics Netherlands
    Subjects: text interpretation; natural language processing; computational linguistics; derivation; code assignment; classification; knowledge representation; semantic network; ontology
    Scope: 1 Online-Ressource (circa 30 Seiten), Illustrationen
  9. Measuring information in analyst reports
    a machine learning approach
    Author: Martineau, Charles; Zoican, Marius
    Published: [2021]
    Publisher:  [University of Toronto - Rotman School of Management], [Toronto]

    How to quantify the informational content of analyst reports? In this short methodological paper, we propose a measure of information contribution (IC), defined in the spirit of Shapley values. We use natural language processing to identify topics... more

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    How to quantify the informational content of analyst reports? In this short methodological paper, we propose a measure of information contribution (IC), defined in the spirit of Shapley values. We use natural language processing to identify topics for over 90,000 analyst reports for S&P 500 stocks between January 2018 to May 2020. Next, we build the IC measure as the average cosine distance between the topic distribution for a particular report and any subset of competitor reports. A first preliminary finding is that the informational content of reports in "crowded stocks" is 41% lower than for reports in low-coverage stocks. Second, team-authored reports are 36% more informative than individual reports and women-authored reports are 12% more informative than men-authored reports

     
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    Source: Union catalogues
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    Media type: Book
    Format: Online
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    Series: [Rotman School of Management working paper ; no. 3925176]
    Subjects: analyst reports; natural language processing; Shapley value; information
    Other subjects: Array
    Scope: 1 Online-Ressource (circa 15 Seiten), Illustrationen
  10. The financial market impact of ECB monetary policy press conferences
    a text based approach
    Author: Parle, Conor
    Published: [2021]
    Publisher:  [Central Bank of Ireland], Dublin, Ireland

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Research technical paper / Central Bank of Ireland ; vol. 2021, no. 04
    Subjects: monetary policy; communication; machine learning; natural language processing; event study; information effects
    Scope: 1 Online-Ressource (circa 42 Seiten), Illustrationen
  11. Mark my words
    the transmission of central bank communication to the general public via the print media
    Author: Munday, Tim; Brookes, James
    Published: October 2021
    Publisher:  Bank of England, London

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Staff working paper / Bank of England ; no. 944
    Subjects: Central bank communication; print media; high-dimensional estimation; natural language processing
    Scope: 1 Online-Ressource (circa 92 Seiten), Illustrationen
  12. Aportaciones al estudio de las lenguas
    Perspectivas teóricas y aplicadas
    Contributor: Herrera Santana, Juana Luisa (Herausgeber); Díaz-Galán, Ana (Herausgeber)
    Published: 2021
    Publisher:  Peter Lang GmbH, Internationaler Verlag der Wissenschaften, Berlin

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