Indexing Economic Fluctuation Narratives from Keiki Watchers Survey

In this paper, we design indices of economic fluctuation narratives derived from economic surveys. Companies, governments, and investors rely on key metrics like GDP and industrial production indices to predict economic trends. However, they have yet to effectively leverage the wealth of information contained in economic text, such as causal relationships, in their economic forecasting. Therefore, we design indices of economic fluctuation from economic surveys by using our previously proposed narrative framework. From the evaluation results, it is observed that the proposed indices had a stronger correlation with cumulative lagging diffusion index than other types of diffusion indices.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10825135
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
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article

Indexing Economic Fluctuation Narratives from Keiki Watchers Survey

Hiroki Sakaji, Itsuki Noda, Eriko Shigetsugu
Complex Systems and Time Series Analysis
article

Indexing Economic Fluctuation Narratives from Keiki Watchers Survey

Hiroki Sakaji, Itsuki Noda, Eriko Shigetsugu
article en

Abstract

In this paper, we design indices of economic fluctuation narratives derived from economic surveys. Companies, governments, and investors rely on key metrics like GDP and industrial production indices to predict economic trends. However, they have yet to effectively leverage the wealth of information contained in economic text, such as causal relationships, in their economic forecasting. Therefore, we design indices of economic fluctuation from economic surveys by using our previously proposed narrative framework. From the evaluation results, it is observed that the proposed indices had a stronger correlation with cumulative lagging diffusion index than other types of diffusion indices.

Hokkaido University (JP), Engineering (Italy) (IT)
Decent work and economic growth
Openalex Percentile: Top 69%
Complex Systems and Time Series Analysis
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