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Big Data On Vessel Traffic Nowcasting Trade Flows In Real Time


Big Data On Vessel Traffic Nowcasting Trade Flows In Real Time
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Big Data On Vessel Traffic Nowcasting Trade Flows In Real Time


Big Data On Vessel Traffic Nowcasting Trade Flows In Real Time
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Author : Mr.Serkan Arslanalp
language : en
Publisher: International Monetary Fund
Release Date : 2019-12-13

Big Data On Vessel Traffic Nowcasting Trade Flows In Real Time written by Mr.Serkan Arslanalp and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-13 with Business & Economics categories.


Vessel traffic data based on the Automatic Identification System (AIS) is a big data source for nowcasting trade activity in real time. Using Malta as a benchmark, we develop indicators of trade and maritime activity based on AIS-based port calls. We test the quality of these indicators by comparing them with official statistics on trade and maritime statistics. If the challenges associated with port call data are overcome through appropriate filtering techniques, we show that these emerging “big data” on vessel traffic could allow statistical agencies to complement existing data sources on trade and introduce new statistics that are more timely (real time), offering an innovative way to measure trade activity. That, in turn, could facilitate faster detection of turning points in economic activity. The approach could be extended to create a real-time worldwide indicator of global trade activity.



Big Data On Vessel Traffic Nowcasting Trade Flows In Real Time


Big Data On Vessel Traffic Nowcasting Trade Flows In Real Time
DOWNLOAD
Author : Mr.Serkan Arslanalp
language : en
Publisher: International Monetary Fund
Release Date : 2019-12-13

Big Data On Vessel Traffic Nowcasting Trade Flows In Real Time written by Mr.Serkan Arslanalp and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-13 with Business & Economics categories.


Vessel traffic data based on the Automatic Identification System (AIS) is a big data source for nowcasting trade activity in real time. Using Malta as a benchmark, we develop indicators of trade and maritime activity based on AIS-based port calls. We test the quality of these indicators by comparing them with official statistics on trade and maritime statistics. If the challenges associated with port call data are overcome through appropriate filtering techniques, we show that these emerging “big data” on vessel traffic could allow statistical agencies to complement existing data sources on trade and introduce new statistics that are more timely (real time), offering an innovative way to measure trade activity. That, in turn, could facilitate faster detection of turning points in economic activity. The approach could be extended to create a real-time worldwide indicator of global trade activity.



Data Science For Economics And Finance


Data Science For Economics And Finance
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Author : Sergio Consoli
language : en
Publisher: Springer Nature
Release Date : 2021-06-09

Data Science For Economics And Finance written by Sergio Consoli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-09 with Computers categories.


This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.



Tuvalu


Tuvalu
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Author : International Monetary
language : en
Publisher: International Monetary Fund
Release Date : 2023-07-21

Tuvalu written by International Monetary and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-21 with Business & Economics categories.


The 2023 Article IV Consultation discusses that a successful vaccination strategy allowed Tuvalu to lift coronavirus disease (COVID) containment measures at the end of 2022, but the economic cost of the pandemic has been significant. Real gross domestic product growth was -4.3 percent in 2020, with at-the-border containment measures leading to delays in much-needed infrastructure projects. Growth is expected to accelerate as the lifting of COVID restrictions leads to the resumption of construction activity, shipping bottlenecks ease and the trade and hospitality sectors recover. Tuvalu is among the countries most vulnerable to the effects of climate change; its remote economy is dominated by the public sector; and its revenue base is narrow, with reliance on donor commitments further complicating fiscal planning. The economic setback due to the pandemic makes addressing these significant structural challenges more difficult. The report recommends promoting fiscal sustainability and building buffers by mobilizing revenues and rationalizing current expenditures.



World Economic Outlook October 2023


World Economic Outlook October 2023
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Author : International Monetary Fund. Research Dept.
language : en
Publisher: International Monetary Fund
Release Date : 2023-10-10

World Economic Outlook October 2023 written by International Monetary Fund. Research Dept. and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-10 with Business & Economics categories.


The latest World Economic Outlook reports signs that policy tightening is starting to cool activity despite core inflation proving persistent. Risks are more balanced as banking sector stress has receded, but they remain tilted to the downside. Monetary policy should stay the course to bring inflation to target, while fiscal consolidation is needed to tackle soaring debts. Structural reforms are crucial to revive medium-term growth prospects amid constrained policy space.



2024 Staff Guidance Note On The Imf S Engagement With Small Developing States


2024 Staff Guidance Note On The Imf S Engagement With Small Developing States
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Author : International Monetary Fund. Strategy, Policy, & Review Department
language : en
Publisher: International Monetary Fund
Release Date : 2024-07-25

2024 Staff Guidance Note On The Imf S Engagement With Small Developing States written by International Monetary Fund. Strategy, Policy, & Review Department and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-25 with categories.


This guidance note provides operational guidance on the Fund’s engagement with small developing states (SDS). It highlights the unique economic characteristics and constraints facing SDS, notably in a more shock-prone world. Building on advice that applies to the full membership, the note explains how the characteristics of SDS shape Fund surveillance, financial support and program design, capacity development (CD), and collaboration with other institutions and donors. The note updates the previous version that was published in December 2017.



Current Topics In Finance


Current Topics In Finance
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Author : Aslı TOGAN EĞRİCAN
language : en
Publisher: Scala Yayıncılık
Release Date : 2024-10-15

Current Topics In Finance written by Aslı TOGAN EĞRİCAN and has been published by Scala Yayıncılık this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Business & Economics categories.


This book intends to provide a compilation of recent empirical trends in finance using data from different economies. By focusing on a wide range of financial topics from market microstructure, linkages of macroeconomic effects and corporate finance, capital structure choices of firms, banking, supply chain disruptions, environmental, social and governance (ESG) effects, as well as econometric methods used in financial studies, the book intends to provide the reader answers to a vast array of novel financial questions.



World Seaborne Trade In Real Time A Proof Of Concept For Building Ais Based Nowcasts From Scratch


World Seaborne Trade In Real Time A Proof Of Concept For Building Ais Based Nowcasts From Scratch
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Author : Diego A. Cerdeiro
language : en
Publisher: International Monetary Fund
Release Date : 2020-05-14

World Seaborne Trade In Real Time A Proof Of Concept For Building Ais Based Nowcasts From Scratch written by Diego A. Cerdeiro and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-14 with Business & Economics categories.


Maritime data from the Automatic Identification System (AIS) have emerged as a potential source for real time information on trade activity. However, no globally applicable end-to-end solution has been published to transform raw AIS messages into economically meaningful, policy-relevant indicators of international trade. Our paper proposes and tests a set of algorithms to fill this gap. We build indicators of world seaborne trade using raw data from the radio signals that the global vessel fleet emits for navigational safety purposes. We leverage different machine-learning techniques to identify port boundaries, construct port-to-port voyages, and estimate trade volumes at the world, bilateral and within-country levels. Our methodology achieves a good fit with official trade statistics for many countries and for the world in aggregate. We also show the usefulness of our approach for sectoral analyses of crude oil trade, and for event studies such as Hurricane Maria and the effect of measures taken to contain the spread of the novel coronavirus. Going forward, ongoing refinements of our algorithms, additional data on vessel characteristics, and country-specific knowledge should help improve the performance of our general approach for several country cases.



Maritime Economics


Maritime Economics
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Author : Martin Stopford
language : en
Publisher: Routledge
Release Date : 2013-04-15

Maritime Economics written by Martin Stopford and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-15 with Business & Economics categories.


Now in its second edition Maritime Economics provides a valuable introduction to the organisation and workings of the global shipping industry. The author outlines the economic theory as well as many of the operational practicalities involved. Extensively revised for the new edition, the book has many clear illustrations and tables. Topics covered include: * an overview of international trade * Maritime Law * economic organisation and principles * financing ships and shipping companies * market research and forecasting.



Beginning Anomaly Detection Using Python Based Deep Learning


Beginning Anomaly Detection Using Python Based Deep Learning
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Author : Sridhar Alla
language : en
Publisher: Apress
Release Date : 2019-10-10

Beginning Anomaly Detection Using Python Based Deep Learning written by Sridhar Alla and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-10 with Computers categories.


Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks. This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications of the following deep learning models to anomaly detection: various types of Autoencoders, Restricted Boltzmann Machines, RNNs & LSTMs, and Temporal Convolutional Networks. The book explores unsupervised and semi-supervised anomaly detection along with the basics oftime series-based anomaly detection. By the end of the book you will have a thorough understanding of the basic task of anomaly detection as well as an assortment of methods to approach anomaly detection, ranging from traditional methods to deep learning. Additionally, you are introduced to Scikit-Learn and are able to create deep learning models in Keras and PyTorch. What You Will Learn Understand what anomaly detection is and why it is important in today's world Become familiar with statistical and traditional machine learning approaches to anomaly detection using Scikit-Learn Know the basics of deep learning in Python using Keras and PyTorch Be aware of basic data science concepts for measuring a model's performance: understand what AUC is, what precision and recall mean, and more Apply deep learning to semi-supervised and unsupervised anomaly detection Who This Book Is For Data scientists and machine learning engineers interested in learning the basics of deep learning applications in anomaly detection