Investor sentiment, economic uncertainty, and monetary policy in Brazil,

Author:

Marschner Paulo Fernando1ORCID,Ceretta Paulo Sergio1ORCID

Affiliation:

1. Universidade Federal de Santa Maria, Brazil

Abstract

ABSTRACT The aim of this study is to analyze how economic uncertainty and monetary policy affect investor sentiment in Brazil. Investor sentiment is an important element in the finance, economics, and accounting literature and its impact on financial markets is widely documented. However, understanding the variables that affect it remains an important challenge, and this research seeks to explore this gap within the Brazilian context. The study provides initial evidence regarding the impact of economic uncertainty and monetary policy on investor sentiment in Brazil. The findings documented here provide theoretical, managerial, and social contributions, with a possible impact on the areas of finance, economics, and accounting. Monthly data were used relating to four mechanisms of transmission of economic uncertainty and of monetary policy (interest rate, exchange rate, inflation rate, economic uncertainty index) and to the consumer confidence index as a proxy for investor sentiment (covering the period from January of 2006 to March of 2020). An autoregressive distributed lag model was estimated to capture short- and long-term relationships between the variables. The results indicate that investor sentiment is affected by economic uncertainty and by the main mechanisms of transmission of monetary policy to different extents and in the different time horizons. The evidence suggests that investors, policymakers, and monetary authorities should consider sentiment as a signal, whether for altering investment portfolios or for anticipating economic trends. It also provides support for focusing on economic and monetary policy in the National Financial Education Strategy (Estratégia Nacional de Educação Financeira - ENEF) recently adopted in Brazil

Publisher

FapUNIFESP (SciELO)

Subject

Finance,Accounting

Reference63 articles.

1. Maximum likelihood identification of gaussian autoregressive moving average models;Akaike H.;Biometrika,1973

2. The market for "lemons": Quality uncertainty and the market;Akerlof G. A.;The Quarterly Journal of Economics,1970

3. Animal spirits: How human psychology drives the economy, and why it matters for global capitalism;Akerlof G. A.,2009

4. A catering theory of dividends;Baker M.;The Journal of Finance,2004

5. Investor sentiment and cross-section of stock return;Baker M.;The Journal of Finance,2006

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