The article reports on the interactions and possibility of coordination between macroprudential and monetary policies in South Africa, based on business and financial cycles synchronisation. To this end, relying on financial and economic time series indicators spanning the period 2000M01–2018M12, a two-step Markov switching dynamic factor model was adopted for the measurement of composite indices, while both the dynamic conditional correlations and asymmetric generalised dynamic conditional correlations models were adopted for synchronisation analysis, together with the Metcalfe scale of coordination. The empirical evidence obtained is such that, under conditions of financial and real economic stress in South Africa, when there is crisis management rather than crisis prevention, macroprudential policy and monetary policy decisions are complementary. Therefore, there will be limited/no need for coordination between the two policy decisions. However, under normal times when there is crisis prevention rather than management, macroprudential policy and monetary policy decisions are noncomplementary; hence, the greatest degree of coordination is warranted, even though it might not be easy. Therefore, we conclude that it is possible to the coordinate the conduct of macroprudential, and monetary policies based on the synchronicity of business and financial cycles.

Recently, several studies have argued about the interactions of the real economy and financial system, as well as the importance of financial cycles in business cycle fluctuations. To date, there exists near consensus among central bankers, economists, and other scholars that the financial cycle is an important source of business cycle fluctuations. This has raised the question of whether monetary policy should respond to financial instability and/or imbalances. As a result, we asked the following questions: Should monetary policy lean against the wind by targeting the aggregate financial cycle in South Africa? And what is the role of monetary policy in minimizing financial imbalances and instabilities in South Africa? The present article aims to provide answers to the above-mentioned question. Through the adoption of a multiple-equation generalized method of moments and structural vector autoregressive approaches, this article simultaneously estimates and compares both the finance-augmented and the conventional Taylor rules. It is shown that the South African Reserve Bank has considered developments in the aggregate financial cycle in setting its policy rate. Overall, there is clear evidence to conclude that the South African Reserve Bank can lean against the wind by targeting the aggregate financial cycle, but only as a genuine augmentation not as a fully flagged objective. This article adds new evidence to the South African literature on the prevailing debate of whether monetary policy should respond to developments in the financial system.

Prior to the 2007 – 2009 Global Financial Crises, it was generally agreed that financial factors played no significant role in Business Cycle models. However, the aftermath of the 2007 – 2009 Global Financial crises and the amount of costs imposed on different economies, made it apparent that financial factors play a much more significant role in macroeconomic dynamics than previously anticipated. Consequently, this article assessed the role of financial factors in Business cycle models and the possibility of a unified macroeconomic framework for South Africa. The generalised method of moments and the multiple equation generalised method of moments models were used to examine the interactions between financial cycles, Business cycles and Monetary policy in South Africa through the incorporation of a Composite Financial Cycle Index into a four-equation New Keynesian model. The results revealed that the financial cycle plays a significant role in Business cycle models, and a financial cycle shock has become the main driving force of macroeconomic fluctuations in South Africa. This study is the first to have used a composite index to measure a financial cycle and its relationship with business cycles and monetary policy in South Africa. While a composite index was constructed as an improved version of the current South African financial cycle, this study further proposed a unified framework for macroeconomic policy analyses in South Africa.

The importance of policy coordination between fiscal and monetary policy authorities has become more apparent, in the face of unexpected economic shocks and persistent macroeconomic challenges. In this paper, we employ the Set-Theoretic Approach (STA) to explicitly measure the presence of coordination between fiscal and monetary policies from 1990 to 2023 in South Africa. In addition, the model measures policy shocks theoretically and structurally using a structural vector autoregressive (SVAR) model. The results indicate a weak level of policy coordination estimated at 24% where shocks are measured theoretically. Where shocks are measured structurally, the results still present weak policy coordination estimated at 33%. These results underscore the need for stronger policy coordination in South Africa, particularly during periods of economic strain such as the Global Financial Crisis and the COVID-19 pandemic, when conflicting fiscal and monetary stances weakened policy effectiveness. In the South African case, limited coordination contributed to procyclical fiscal tightening alongside contractionary monetary policy, which constrained growth and delayed recovery.

Understanding the nature of monetary and fiscal policy interactions has gained more importance over the years, especially within the context of the global financial crisis and the recent COVID-19 pandemic. This study uses a Time-Varying Parameter Vector Autoregressive (TVP-VAR) model and a Markov Switching Dynamic Regression (MSDR) framework to explore the dynamics of monetary–fiscal policy interactions in South Africa. The analysis employs time series data from 1994 to 2023 and tests the dynamic response of key macroeconomic variables to positive monetary and fiscal policy shocks. Furthermore, the MSDR framework is utilised to analyse how policy behaviour evolves during regime change. The TVP-VAR results show that fiscal expansions led to a positive response in GDP over time, a stable interest rate reaction post-COVID-19, and a consistently negative CPI response, contradicting conventional theory. The MSDR analysis reveals a dominant regime where monetary policy is active and fiscal policy is passive, with a positive interaction between interest rates and government spending, likely reflecting South Africa’s high debt environment. These findings underscore the importance of understanding policy interactions’ landscape to inform policy decisions better and minimise sub-optimal policy outcomes.