衡量媒体报道的语气变化:对意大利银行融资条件的实证应用

IF 5.6 2区 经济学 Q1 BUSINESS, FINANCE
Nicola Branzoli, Sabina Marchetti, Emilio Tarducci
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引用次数: 0

摘要

媒体叙述是追踪储户和投资者对银行信任变化的关键。先前的研究将情绪分析应用于新闻,以监测流动性和融资条件的变化。我们的建议利用自然语言处理来衡量意大利报纸在个别银行层面的语气变化。我们的研究表明,我们的指标集在跟踪和预测与银行业融资状况相关的几个变量的演变方面是有效的,包括它们的股票价格、交易量和即期存款。这些结果凸显了采用自然语言处理方法监控银行融资风险的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring tone shifts in media coverage: An empirical application to bank financing conditions in Italy
Media narrative is key to track changes in depositors’ and investors’ trust alike towards banks. Previous studies have applied sentiment analysis to news, to monitor changes in liquidity and financing conditions. Our proposal leverages natural language processing to measure shifts in Italian newspapers’ tone at the individual bank level. We show that our set of indicators is effective at tracking and predicting the evolution of several variables related to the financing condition of the banking sector, including their stock prices, trading volumes and sight deposits. These results highlight the benefits of employing natural language processing methods to monitor banks’ funding risks.
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来源期刊
CiteScore
7.30
自引率
2.20%
发文量
253
期刊介绍: The International Review of Economics & Finance (IREF) is a scholarly journal devoted to the publication of high quality theoretical and empirical articles in all areas of international economics, macroeconomics and financial economics. Contributions that facilitate the communications between the real and the financial sectors of the economy are of particular interest.
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