Abstract

In this paper we analyze the ability of different asset classes to hedge the Brazilian stock index in periods of high and low interest rates in the Brazilian economy, using two multivariate GARCH models. Our analysis includes two categories of assets: those traded in domestic currency and those traded in U.S. dollars. From the perspective of a local investor, we find that the exchange rate (R$/US$) and gold are the assets least correlated with equities. From the standpoint of a foreign investor, commodity index and fixed-income assets are the most useful. These results prevail in the low- and high-interest-rate periods. Moreover, in the period of low interest rates, the standard deviation of the estimated conditional correlation time series decreases, suggesting that in this period investors are more confident about macroeconomic policies.

Highlights

  • At the end of 2019, the interest rate in Brazil reached its lowest level in more than 20 years

  • We examine the conditional correlations of the Brazilian equity market considering a portfolio with different asset classes in the period of low interest rates

  • In this paper we investigate the conditional correlation among Brazilian equity prices, focusing on the most popular multivariate generalized autoregressive conditional heteroskedastic (MGARCH) models: the BEKK of Engle and Kroner (1995) and dynamic conditional correlation (DCC)-GARCH of Engle (2002)

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Summary

Introduction

At the end of 2019, the interest rate in Brazil reached its lowest level in more than 20 years. Because of the greater risks of equity markets, investors need more efficient risk control measures for their allocations This can come from using diversification strategies or derivative instruments. We examine the conditional correlations of the Brazilian equity market considering a portfolio with different asset classes in the period of low interest rates. We compare these results with the previous period of high interest rates. We examine the potential use of foreign assets (the domestic stock index, a commodity index, a fixed income asset, a cryptocurrency, and gold, all traded in U.S dollars). The paper is organized as follows: Section 2 presents an overview of the literature; Section 3 details the models used; Section 4 exhibits the data; Section 5 discusses the results; and Section 6 concludes

Literature overview
The model setup
The data
Results
Analysis in local currency
Conclusion
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