{"title":"Machine learning methods for inflation forecasting in Brazil: New contenders versus classical models","authors":"Gustavo Silva Araujo , Wagner Piazza Gaglianone","doi":"10.1016/j.latcb.2023.100087","DOIUrl":"https://doi.org/10.1016/j.latcb.2023.100087","url":null,"abstract":"<div><p>In this paper, we explore machine learning (ML) methods to improve inflation forecasting in Brazil. An extensive out-of-sample forecasting exercise is designed with multiple horizons, a large database of 501 series, and 50 forecasting methods, including new ML techniques proposed here, traditional econometric models and forecast combination methods. We also provide tools to identify the key variables to predict inflation, thus helping to open the ML black box. Despite the evidence of no universal best model, the results indicate that ML methods can, in numerous cases, outperform traditional econometric models in terms of mean-squared error. Moreover, the results indicate the existence of nonlinearities in the inflation dynamics, which are relevant to forecasting inflation. The set of top forecasts often includes forecast combinations, tree-based methods (such as random forest and xgboost), breakeven inflation, and survey-based expectations. Altogether, these findings offer a valuable contribution to macroeconomic forecasting, especially, focused on Brazilian inflation.</p></div>","PeriodicalId":100867,"journal":{"name":"Latin American Journal of Central Banking","volume":"4 2","pages":"Article 100087"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49881158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exchange rate volatility and the effectiveness of FX interventions: The case of Chile","authors":"Alejandro Jara, Marco Piña","doi":"10.1016/j.latcb.2023.100086","DOIUrl":"https://doi.org/10.1016/j.latcb.2023.100086","url":null,"abstract":"<div><p>In this paper, we study the effectiveness of FX interventions in Chile since adopting a fully flexible exchange rate regime in the late 1990s. In particular, we ask whether these interventions have dumped excess exchange rate volatility and reduced its probability of being in a high volatility state. To do so, we rely on a high-frequency GARCH(1,1) volatility model with Markov-Switching regimes and evaluate the effectiveness of FX interventions within a local projection setting. We show that FX interventions in Chile tend to occur during high exchange rate volatility periods, which correlate with domestic and foreign financial factors. Moreover, we show that the FX intervention that started by the end of 2019–the latest intervention included in our study–effectively reduced the exchange rate volatility and the probability of being at a high volatility state.</p></div>","PeriodicalId":100867,"journal":{"name":"Latin American Journal of Central Banking","volume":"4 2","pages":"Article 100086"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49881159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The impact of monetary policy on a labor market with heterogeneous workers: The case of Chile","authors":"Carlos Madeira , Leonardo Salazar","doi":"10.1016/j.latcb.2023.100092","DOIUrl":"https://doi.org/10.1016/j.latcb.2023.100092","url":null,"abstract":"<div><p>We use a factor-augmented vector autoregressive (FAVAR) model to analyze the effect of a contractionary monetary policy shock on macroeconomic aggregates and labor market indicators for different demographic groups in Chile classified by industry, age, and income quintile. Inflation is negatively correlated with unemployment across groups. The model shows that most groups’ job-separation rate and wage volatility increase after an interest rate rise. The response of the job-finding rate is mixed, decreasing in some groups and rising in others after an interest rate shock. The labor market in the primary sector is the least sensitive to monetary shocks.</p></div>","PeriodicalId":100867,"journal":{"name":"Latin American Journal of Central Banking","volume":"4 2","pages":"Article 100092"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49881160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elizabeth Bucacos , Patricia Carballo , Miguel Mello , Jorge Ponce
{"title":"Policy responses to COVID-19 in Uruguay","authors":"Elizabeth Bucacos , Patricia Carballo , Miguel Mello , Jorge Ponce","doi":"10.1016/j.latcb.2023.100085","DOIUrl":"https://doi.org/10.1016/j.latcb.2023.100085","url":null,"abstract":"<div><p>COVID-19 caused an overwhelming wave with large social and economic consequences and huge policy challenges. We provide an evaluation of the impact of the social, economic, and financial policy measures undertaken to ameliorate its negative consequences in Uruguay. Overall, we find that the policy response had a significant effect on mitigating the negative impact of the pandemic in the country. We also discuss policy implications.</p></div>","PeriodicalId":100867,"journal":{"name":"Latin American Journal of Central Banking","volume":"4 2","pages":"Article 100085"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49881802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Untangling crises: GFC and COVID-19 through the lens of a DSGE model","authors":"Rogelio De La Peña , Ignacio García","doi":"10.1016/j.latcb.2023.100091","DOIUrl":"https://doi.org/10.1016/j.latcb.2023.100091","url":null,"abstract":"<div><p>In this paper, we aim to compare the anatomy of the impact of the COVID-19 outbreak and the Great Financial Crisis (GFC) in the context of an emerging market economy. To this end, we develop a small open economy DSGE model with the Bernanke-Gertler-Gilchrist financial accelerator that features financial frictions and monopolistic competition. Then, we estimate this model to explore and compare both crises in the Mexican business cycle. The decomposition obtained with the model shows that: (i) the financial shocks were the main source of contraction of the output gap (around 49.0%) in the GFC; (ii) the dynamic of the GDP had been severely affected by the demand shock (around 45.1%), the financial shocks (32.2%), and the productivity shock (22.3%) in the COVID-19 pandemic. The results suggest that the main forces of the recent contraction in economic activity in Mexico were larger in absolute terms and more diverse than those observed during the GFC. This analysis illustrates the differences between the two great crises and it evaluates the policy response to each.</p></div>","PeriodicalId":100867,"journal":{"name":"Latin American Journal of Central Banking","volume":"4 2","pages":"Article 100091"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49881161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel Tavares de Castro , Emerson Erik Schmitz , Monique de Abreu Azevedo
{"title":"An empirical analysis of debit card interchange fee regulation: Evidence from Brazil","authors":"Daniel Tavares de Castro , Emerson Erik Schmitz , Monique de Abreu Azevedo","doi":"10.1016/j.latcb.2022.100078","DOIUrl":"https://doi.org/10.1016/j.latcb.2022.100078","url":null,"abstract":"<div><p>This paper presents an empirical analysis of the introduction, in October 2018, of maximum thresholds (“caps”) on debit card interchange fees for domestic payment cards in Brazil. We investigate the behavior of card issuers’ revenues from debit and credit card interchange fees, the merchant discount rate (MDR) of debit transactions, debit and credit card usage, and debit card scheme fees paid by card issuers and acquirers after the cap. We find a gradual and increasing reduction in the MDR, from 6.0% in 2018Q4 to 22.8% in 2020Q1. Additionally, we observe a statistically significant difference between debit and credit card MDR in 2019Q4 and 2020Q1. The cap reduces card issuers’ earnings from the debit card interchange fee proportionally to the cut but does not affect similar revenues from credit cards. Overall, there is no evidence that the regulation of the debit card interchange fee changes the dynamics of debit card usage or that it changes debit card scheme fees.</p></div>","PeriodicalId":100867,"journal":{"name":"Latin American Journal of Central Banking","volume":"4 1","pages":"Article 100078"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50195217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Erik Andres–Escayola , Juan Carlos Berganza , Rodolfo G. Campos , Luis Molina
{"title":"A BVAR toolkit to assess macrofinancial risks in Brazil and Mexico","authors":"Erik Andres–Escayola , Juan Carlos Berganza , Rodolfo G. Campos , Luis Molina","doi":"10.1016/j.latcb.2022.100079","DOIUrl":"https://doi.org/10.1016/j.latcb.2022.100079","url":null,"abstract":"<div><p>This paper describes the set of Bayesian vector autoregression (BVAR) models that Banco de España uses to project GDP growth rates and to simulate macrofinancial risk scenarios for Brazil and Mexico. The toolkit consists of large benchmark models to produce baseline projections and various smaller satellite models to conduct risk scenarios. We showcase the use of this modeling framework with tailored empirical applications. Given the material importance of Brazil and Mexico to the Spanish economy and banking system, this toolkit contributes to the monitoring of Spain’s international risk exposure.</p></div>","PeriodicalId":100867,"journal":{"name":"Latin American Journal of Central Banking","volume":"4 1","pages":"Article 100079"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50195218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Erratum regarding missing Declaration of Competing Interest statements in previously published articles","authors":"","doi":"10.1016/j.latcb.2023.100089","DOIUrl":"https://doi.org/10.1016/j.latcb.2023.100089","url":null,"abstract":"","PeriodicalId":100867,"journal":{"name":"Latin American Journal of Central Banking","volume":"4 1","pages":"Article 100089"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50194659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Natalia Diniz-Maganini , Abdul A. Rasheed , Hsia Hua Sheng
{"title":"Price efficiency of the foreign exchange rates of BRICS countries: A comparative analysis","authors":"Natalia Diniz-Maganini , Abdul A. Rasheed , Hsia Hua Sheng","doi":"10.1016/j.latcb.2022.100081","DOIUrl":"https://doi.org/10.1016/j.latcb.2022.100081","url":null,"abstract":"<div><p>In this paper, we analyze BRICS countries’ long-term exchange rate market efficiency. Our analysis, using multifractal detrended fluctuation analysis (MFDFA) for the 2009–2021 period, shows considerable differences in the exchange rate efficiency of BRICS countries, with South Africa the most efficient and China the least efficient. Based on daily exchange rates, our analysis shows that after a country shifts to a flexible exchange rate regime, the price efficiency of its currency improves, but not immediately. All the BRICS countries show improvements in market efficiency over the 13-year period of our study. The adaptive market hypothesis supports our finding of efficiency improvements over time more than the efficient market hypothesis does.</p></div>","PeriodicalId":100867,"journal":{"name":"Latin American Journal of Central Banking","volume":"4 1","pages":"Article 100081"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50195219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marine C. André, Alberto Armijo, Sebastián Medina Espidio, Jamel Sandoval
{"title":"Policy mix in a small open emerging economy with commodity prices","authors":"Marine C. André, Alberto Armijo, Sebastián Medina Espidio, Jamel Sandoval","doi":"10.1016/j.latcb.2022.100082","DOIUrl":"https://doi.org/10.1016/j.latcb.2022.100082","url":null,"abstract":"<div><p>The article analyzes the interaction between monetary and fiscal policy in Mexico. We calibrated a semi-structural model for a small open economy, based on Aguilar and Ramírez-Bulos (2018), for Mexico by using quarterly data from 2001Q1 to 2019Q4. The fiscal policy block models the fiscal deficit depending on output, an endogenous sovereign risk premium, a state-owned oil company, and public debt dynamics with domestic and foreign components. We assumed a fiscal rule whereby the deficit has an upper bound. The monetary policy follows a Taylor rule. We study the effects of different shocks on the economy, such as a drop in commodity prices, an expansion of public spending, an increase in the risk premium, a hike in the interest rate, and depreciation of the real exchange rate. We show that, remarkably, the risk premium channel transmits threats from the fiscal block to the monetary block, calling for the central bank to stabilize inflation. By contrast, starting at the economy’s steady state, an exogenous monetary policy shock affects the fiscal block mainly through the interest rate’s influence on the debt service, prompting a fiscal response to stabilize deficit.</p></div>","PeriodicalId":100867,"journal":{"name":"Latin American Journal of Central Banking","volume":"4 1","pages":"Article 100082"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50195220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}