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Author: Mr.Futoshi Narita
Publisher: International Monetary Fund
ISBN: 1484390172
Category : Business & Economics
Languages : en
Pages : 51
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Book Description
Timely data availability is a long-standing challenge in policy-making and analysis for low-income developing countries. This paper explores the use of Google Trends’ data to narrow such information gaps and finds that online search frequencies about a country significantly correlate with macroeconomic variables (e.g., real GDP, inflation, capital flows), conditional on other covariates. The correlation with real GDP is stronger than that of nighttime lights, whereas the opposite is found for emerging market economies. The search frequencies also improve out-of-sample forecasting performance albeit slightly, demonstrating their potential to facilitate timely assessments of economic conditions in low-income developing countries.
Author: Mr.Futoshi Narita
Publisher: International Monetary Fund
ISBN: 1484390172
Category : Business & Economics
Languages : en
Pages : 51
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Book Description
Timely data availability is a long-standing challenge in policy-making and analysis for low-income developing countries. This paper explores the use of Google Trends’ data to narrow such information gaps and finds that online search frequencies about a country significantly correlate with macroeconomic variables (e.g., real GDP, inflation, capital flows), conditional on other covariates. The correlation with real GDP is stronger than that of nighttime lights, whereas the opposite is found for emerging market economies. The search frequencies also improve out-of-sample forecasting performance albeit slightly, demonstrating their potential to facilitate timely assessments of economic conditions in low-income developing countries.
Author: Dean Fantazzini
Publisher: Litres
ISBN: 5042017135
Category : Computers
Languages : en
Pages : 27
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Book Description
This paper focuses on the forecasting of market risk measures for the Russian RTS index future, and examines whether augmenting a large class of volatility models with implied volatility and Google Trends data improves the quality of the estimated risk measures. We considered a time sample of daily data from 2006 till 2019, which includes several episodes of large-scale turbulence in the Russian future market. We found that the predictive power of several models did not increase if these two variables were added, but actually decreased.The worst results were obtained when these two variables were added jointly and during periods of high volatility, when parameters estimates became very unstable. Moreover, several models augmented with these variables did not reach numerical convergence. Our empirical evidence shows that, in the case of Russian future markets, TGARCH models with implied volatility and Student’s t errors are better choices if robust market risk measures are of concern.
Author:
Publisher: GRIN Verlag
ISBN: 366845244X
Category : Business & Economics
Languages : en
Pages : 39
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Book Description
Bachelor Thesis from the year 2014 in the subject Business economics - Offline Marketing and Online Marketing, grade: 1,3, University of Regensburg, language: English, abstract: This treatise addresses the question whether Google Trends is a suitable instrument for supporting real estate research. In the course of this paper, the current state of real estate research based on Google Trends will be investigated. Then a SWOT analysis of the potential of Google Trends for real estate purposes will be estab-lished in the subsequent paragraphs, followed by an overall conclusion. But first of all, Google Trends will be introduced in more detail in addition to a quick overview on the different research areas on the grounds of the service. With the release of Google Trends, researchers were given the opportunity to examine the correlation of search frequency of particular keywords and, among other things, the current economic conditions, as Google Trends graphically shows the popularity of a particular search term compared to the total number of searches on Google. It did not take long until the real estate industry became aware of the service's huge potential and began to use it for real estate purposes.
Author: Giray Gozgor
Publisher: Frontiers Media SA
ISBN: 2832514375
Category : Medical
Languages : en
Pages : 451
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Book Description
Author: Nguyen Ngoc Thach
Publisher: Springer Nature
ISBN: 3031357639
Category : Technology & Engineering
Languages : en
Pages : 712
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Book Description
This volume emphasizes techniques of optimal transport statistics, but it also describes and uses other econometric techniques, ranging from more traditional statistical techniques to more innovative ones such as quantiles (in particular, multidimensional quantiles), maximum entropy approach, and machine learning. Applications range from general analysis of GDP growth, stock market, and consumer prices to analysis of specific sectors of economics (construction, credit and banking, energy, health, labor, textile, tourism, international trade) to specific issues affecting economy such as bankruptcy, effect of Covid-19 pandemic, effect of pollution, effect of gender, cryptocurrencies, and the existence of shadow economy. Papers presented in this volume also cover data processing techniques, with economic and financial application being the unifying theme. This volume shows what has been achieved, but even more important are remaining open problems. We hope that this volume will: ˆ inspire practitioners to learn how to apply state-of-the-art techniques, especially techniques of optimal transport statistics, to economic and financial problems, and ˆ inspire researchers to further improve the existing techniques and to come up with new techniques for studying economic and financial phenomena.
Author: Ordóñez de Pablos, Patricia
Publisher: IGI Global
ISBN: 1668458500
Category : Business & Economics
Languages : en
Pages : 564
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Book Description
Artificial intelligence (AI) and knowledge management can create innovative digital solutions and business opportunities in Asia from circular and green economies to technological disruption, innovation, and smart cities. It is essential to understand the impact and importance of AI and knowledge management within the digital economy for future development and for fostering the best practices within 21st century businesses. The Handbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy offers conceptual frameworks, empirical studies, and case studies that help to understand the latest developments in artificial intelligence and knowledge management, as well as its potential for digital transformation and business opportunities in Asia. Covering topics such as augmented reality. Convolutional neural networks, and digital transformation, this major reference work generates enriching debate on the challenges and opportunities for economic growth and inclusion in the region among business executives and leaders, IT managers, policymakers, government officials, students and educators of higher education, researchers, and academicians.
Author: Irena Koprinska
Publisher: Springer Nature
ISBN: 3030659658
Category : Computers
Languages : en
Pages : 619
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Book Description
This volume constitutes the refereed proceedings of the workshops which complemented the 20th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2020. Due to the COVID-19 pandemic the conference and workshops were held online. The 43 papers presented in volume were carefully reviewed and selected from numerous submissions. The volume presents the papers that have been accepted for the following workshops: 5th Workshop on Data Science for Social Good, SoGood 2020; Workshop on Parallel, Distributed and Federated Learning, PDFL 2020; Second Workshop on Machine Learning for Cybersecurity, MLCS 2020, 9th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2020, Workshop on Data Integration and Applications, DINA 2020, Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning, EDML 2020, Second International Workshop on eXplainable Knowledge Discovery in Data Mining, XKDD 2020; 8th International Workshop on News Recommendation and Analytics, INRA 2020. The papers from INRA 2020 are published open access and licensed under the terms of the Creative Commons Attribution 4.0 International License.
Author: Edgardo Bucciarelli
Publisher: Springer Nature
ISBN: 3030382273
Category : Technology & Engineering
Languages : en
Pages : 334
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Book Description
This book is based on the International Conference on Decision Economics (DECON 2019). Highlighting the fact that important decision-making takes place in a range of critical subject areas and research fields, including economics, finance, information systems, psychology, small and international business, management, operations, and production, the book focuses on analytics as an emerging synthesis of sophisticated methodology and large data systems used to guide economic decision-making in an increasingly complex business environment. DECON 2019 was organised by the University of Chieti-Pescara (Italy), the National Chengchi University of Taipei (Taiwan), and the University of Salamanca (Spain), and was held at the Escuela politécnica Superior de Ávila, Spain, from 26th to 28th June, 2019. Sponsored by IEEE Systems Man and Cybernetics Society, Spain Section Chapter, and IEEE Spain Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global Exchange, AEPIA-and-APPIA, with the funding supporting of the Junta de Castilla y León, Spain (ID: SA267P18-Project co-financed with FEDER funds)
Author: Ngoc Thanh Nguyen
Publisher: Springer Nature
ISBN: 3031417747
Category : Computers
Languages : en
Pages : 779
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Book Description
This book constitutes the refereed proceedings of the 15th International Conference on Advances in Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27–29, 2023. The 59 full papers included in this book were carefully reviewed and selected from 218 submissions. They were organized in topical sections as follows: Collective Intelligence and Collective Decision-Making, Deep Learning Techniques, Natural Language Processing, Data Minning and Machine learning, Social Networks and Speek Communication, Cybersecurity and Internet of Things, Cooperative Strategies for Decision Making and Optimization, Digital Content Understanding and Apllication for Industry 4.0 and Computational Intelligence in Medical Applications.
Author: Terry Harris
Publisher: Springer Nature
ISBN: 3031301560
Category : Business & Economics
Languages : en
Pages : 260
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Book Description
This book introduces a measure of firms’ competition culture based on a textual analysis and natural language processing (NPL) of firms’ 10-K filings. Using this measure, the book explores the relationship between competition culture and various phenomena in corporate finance, specifically, institutional ownership structure, stock return performance, idiosyncratic stock price crash risk, meeting/beating analysts’ earnings expectations, and earnings management activity, for a large sample of US-based financial and non-financial firms. In particular, the book provides evidence that transient institutional ownership intensifies firms’ competition culture, while dedicated institutional ownership lessens it. In addition, the book’s findings suggest that firms with greater levels of competition culture achieve higher levels of short-term stock return performance, experience greater incidence of idiosyncratic stock price crashes, and are more prone to meet/beat analysts forecast and engage in accruals-based earnings manipulation. Finally, the book examines the role played by competition culture in financial firms (i.e., banks). Specifically, the book explores the effect of competition culture on bank lending and shows that banks with greater levels of competition culture are generally more prone to engage in procyclical lending activity. The findings of the book have significant policy implications and will be of interests to regulators, accounting standard-setters, managers and those charged with firm governance, career academics and researchers, graduates, and those generally interested in the role played by corporate culture in the related fields of finance, economics, and accounting.
