Business Cycles Synchronisation and Symmetries in the Transition to East African Monetary Union

Our paper explores the prospects for the proposed East African Monetary Union (EAMU) by employing rigorous empirical tools to analyse business cycles synchronisation, structural cross-correlations, spectral decomposition and regional clusters to identify different cyclical episodes, periodicities and characterise the economic cycles of East African countries. We find that cyclical movements reflect various idiosyncratic, common, historical and external shocks in the region. Secondly, all countries appear to be structurally correlated with each other except for South Sudan and Burundi. Our results also observe that the contemporaneous co-movements of East African Community (EAC) cycles with those of Kenya and Tanzaniaare procyclical with coincidental path shift, while the same EAC cycles appear to be acyclical with those of Burundi. Additionally, from the spectral decomposition, Kenyan cycles take 10 years to complete, while those of Tanzania and Rwanda take 8 years. Ugandan and Burundian cycles take approximately 5 years, while the cyclical frequency for South Sudan corresponds to 3.3 years. Finally, the cluster characterisation of countries reveals that South Sudan, Burundi and Rwanda form a group, while Kenya and Tanzania from a group distinct from the rest. We urge the member countries to prioritise policies on regional risk-sharing and adjustment mechanisms, in addition to establishing credible institutional infrastructure that ensures surveillance and enforcement of convergence conditions adopted in EAMU protocol.     

Measuring the Financial Cycle in South Africa

We measure the financial cycle of South Africa using three different methodologies. The financial cycle is identified using credit, house prices and equity prices as indicators, and estimated using traditional turning-point analysis, frequency-based filters and an unobserved components model-based approach. We then consider the financial cycle’s main characteristics and examine its relationships with the business cycle. We confirm the presence of a financial cycle in South Africa that has a longer duration and a larger amplitude than the traditional business cycle. Developments in measures of credit and house prices are important indicators of the financial cycle, although the case for including equity prices in the measures is less certain. Periods where financial conditions are stressed are associated with peaks in the financial cycle, suggesting that the estimated financial cycle may have similar leading indicator properties to financial conditions or stress indices.     

THE PROPERTIES OF CYCLES IN SOUTH AFRICAN FINANCIAL VARIABLES AND THEIR RELATION TO THE BUSINESS CYCLE

The paper describes cyclicality in a range of local and international financial variables and their relation to cyclical behaviour in the South African real economy. Cycles are derived using a dating algorithm similar to that used to determine business cycle turning points and falls within the Burns‐Mitchell tradition of business cycle analysis. Co‐movement between phases in financial variables and similar phases in the business cycle are described using the concordance statistic, instead of the correlation statistic (which requires stationarity). This is a preliminary step in identifying financial variables that can act as leading indicators of economic activity.     

A COMPARATIVE ANALYSIS OF THE SYNCHRONISATION OF BUSINESS CYCLES FOR DEVELOPED AND DEVELOPING ECONOMIES WITH THE WORLD BUSINESS CYCLE

Globalisation brought about worldwide changes, including economic and financial integration between countries. The objective of this paper is to establish if there is synchronisation between developed and developing countries with the world cycle. Research results show that business cycles have become less volatile after globalisation, but there is not much consensus on whether business cycles have become less or more synchronised since globalisation. Little research has been done on co‐movement between emerging markets, such as South Africa, and the world business cycle. This paper derives common factors for developed and developing countries by applying principal component analysis (PCA) to output, consumption and investment data, which represents the countries' business cycles. The empirical analysis shows co‐movement between some countries and the world business cycle (G7 countries as proxy). The results suggest that there are idiosyncratic and globally common shocks, which play different roles over time in different countries. The paper goes on to suggest that there are clear differences in how developed and emerging markets co‐move with the world business cycle. A key finding is that the co‐movement between developing economies and the world business cycle has increased since globalisation. This research also confirms previous research that most economies follow the world business cycle when large shocks – such as the recent economic downturn – occur. This has implications for forecasting the business cycle, especially in times of economic turmoil.     

Spillovers of the Conventional and Unconventional Monetary Policy from the US to South Africa

This paper assesses the effect of US monetary policy on South Africa during the period 1990–2018. We separately analyse and compare the effect of conventional monetary policy, before the Global Financial Crisis, and unconventional monetary policy, after the US monetary policy reached the zero-lower bound. Our impulse response function results indicate that monetary policy in South Africa responds mainly to local inflation, economic activity and financial conditions. While there is strong correlation between the global and South African financial cycle, the financial cycle is not transmitted to the real economy because of the sluggish response of industrial production and domestic credit, especially after the global financial crisis. We see this as an indication of the effects of structural issues to the real economy and constrained households’ balance sheet which has prevented the local economy to take advantage of low local interest rates and the global economic recovery after the crisis.     

The impact of technology shocks on the Japanese business cycle—An empirical analysis based on Japanese industry data

In order to investigate the impacts of technology shocks on the recent Japanese business cycles, we construct an aggregate technological measure from industry-based data. Our approach is to estimate production function by industry, by controlling for the returns to scale factor and unobserved factor utilization. We find that positive technology shocks result in a contraction of labor input on impact. This result implies that the standard real business cycle (RBC) model is not supported and the new Keynesian model or the labor reallocation model is a candidate to explain the Japanese business cycles. From further empirical studies, we find that the labor reallocation model is plausible for explaining the Japanese business cycles.     

An Integrated Corporate Governance Framework and Financial Performance in South African‐Listed Corporations

This paper investigates the relationship between an integrated corporate governance (CG) index and financial performance using a sample of 169 South African (SA)‐listed corporations between 2002 and 2007. We find a statistically significant and positive association between a broad set of good CG practices and financial performance. In a series of sensitivity analyses, we find that our results are robust to endogeneity, different financial performance proxies, alternative CG weighting scheme and firm‐level fixed effects. We further distinctively examine the link between complying with SA context‐specific stakeholder CG provisions and financial performance. In line with political cost and resource dependence theories, our results reveal a statistically significant and positive nexus between compliance with stakeholder CG provisions and financial performance.     

ZONE‐TARGETING MONETARY POLICY PREFERENCES AND FINANCIAL MARKET CONDITIONS: A FLEXIBLE NON‐LINEAR POLICY REACTION FUNCTION OF THE SARB MONETARY POLICY

We estimate a flexible model of the monetary policy reaction function of the South African Reserve Bank based on a representation of the policymaker's preferences that capture asymmetries and zone‐targeting behaviours. We augment the analysis to allow for responses to financial market conditions over and above inflation and output stabilisation to address the current debate on the importance of financial asset prices in monetary policy decision making. The empirical results show that the monetary authorities' response to inflation is zone symmetric. Secondly, the monetary authorities' response to output is asymmetric with increased reaction during business cycle downturns relative to upturns. Thirdly, the monetary authorities pay close attention to the financial conditions index by placing an equal weight on financial market booms and recessions.     

Estimating South Africa's Output Gap and Potential Growth Rate

This paper estimates the potential output of the South African economy using several filters. We demonstrate that potential output measures are very sensitive to the different methodologies. We also provide estimates of South Africa's potential growth rate over the 1960–2015 period. Current estimates of the potential growth rate fall in the 1.9%–2.3% range. However, the evidence suggests that the rate is under considerable downward pressure. South African potential growth may be headed toward the 1% range. The strongest decline is in the real sectors of the economy (Manufacturing, Mining), the greatest resilience in the service sectors (financial in particular).     

中小企业融资与中小银行发展——由中国现实问题引发的理论与实证分析

长久以来困扰我国经济发展的一个突出问题是中小企业融资难、融资贵.本文首先梳理了中小企业融资的理论基础,即基于"软信息"的关系型贷款.在理论分析之后,我们继之以中小企业贷款实证分析的综述,将理论与实证进行了交叉印证.接下来,我们使用中国商业银行资产负债表微观数据,分析了中国中小银行服务中小企业的成功与不足之处.研究发现众...     

The driving forces of China's business cycles: Evidence from an estimated DSGE model with housing and banking

We study the approximate sources of China's business cycles in an estimated dynamic stochastic general equilibrium (DSGE) model with housing and banking. The model replicates well the volatility and cyclicality of key macroeconomic variables observed in the past two decades in China. A host of shock decomposition exercises demonstrate that, among the shocks being considered, both financial and housing shocks are driving China's business cycles, accounting for a particularly large fraction of the variance in most macroeconomic and financial variables at the business cycle frequencies. In particular, the capital quality, housing demand, and loan-to-value shocks display prominent contributions to the business cycle fluctuations. Moreover, there exists substantial interactions between the banking and housing sectors in China, where the collateral constraint and the financial constraint amplify with each other. The results shed new light in the understanding of China's business cycles, and may serve as a useful benchmark for future quantitative analyses of China's macroeconomic fluctuations using DSGE frameworks.     

A Description of Predatory Publishing in South African Economics Departments

Predatory publishers charge fees to authors for open access publishing but have limited peer review or other quality controls. In this paper, we use data from five of the most widely used predatory journals used by South African academics in Economic and Management sciences to show that predatory publications are widespread in Economics departments in South African universities. We also critique the Department of Higher Education and Training’s research publication subsidy system and highlight that several journals on the DHET accredited journal list, that South African academic economists publish in, are probable predatory journals. In improving the data on predatory publications in South African Economic and Management Sciences used by de Jager et al (2017), we show that approximately 50% of predatory publications by South African academic economists are authored by professors or associate professors, a finding which corroborates international evidence on predatory publications in Economics. Our paper is also a source of information on the quality of research produced by South African economics departments.     

全球化与经济周期同步性——以中国和OECD国家为例

本文利用新方法测度经济周期同步性,构建1984～2007年面板数据研究中国与OECD国家的经济周期同步性及其传导机制。研究发现,中国同OECD国家的经济周期同步性与传统理论存在一定差异,双边贸易强度、金融与投资开放度、产业结构的相似程度都将显著地增加中国同OECD国家的经济周期同步性。     

ASSESSING MONETARY POLICY IN SOUTH AFRICA IN A DATA‐RICH ENVIRONMENT

This paper examines the efficacy of monetary policy in the South African economy using a data‐rich framework. We use the Factor‐Augmented Vector Autoregressive (FAVAR) methodology, which contains 110 monthly variables for the period 1985:02‐2007:11. The results, based on impulse‐response functions, provide no evidence of the price puzzle observed in traditional Structural Vector Autoregressive analysis and confirm that monetary policy in South Africa is effective in stabilising prices. Unlike the traditional vector autoregressive approach, the FAVAR methodology allows further analysis of a large number of variables. Variables from real and financial variables react negatively to a contractionary monetary policy shock. Finally, we find evidence of the importance of a confidence channel transmission following a monetary policy shock.     

Financial Factors in the Business Cycle of a Small Open Economy: The Case of Korea

Financial factors influencing the business cycle have received considerable attention in recent years in the aftermath of the global financial crisis in 2008. This paper examines the role of financial factors in the business cycle by considering Korea, a small open economy, that experienced a severe financial crisis in 1997 as well as the recent global financial crisis. We estimate small open economy Bayesian DSGE (dynamic stochastic general equilibrium) models with financial factors and analyze the role of these financial factors in the business cycle in the context of Korea. The results indicate that the model based on an endogenous financial accelerator and a modified monetary policy rule provides a better explanation to the data than that without the financial factors and justify the recent attention to financial factors influencing the business cycle.     

SYNCHRONISATION BETWEEN SOUTH AFRICA AND THE U.S.: A STRUCTURAL DYNAMIC FACTOR ANALYSIS

This paper studies the synchronisation of the South African and the US cycles and transmission channels through which supply and demand shocks from the US affect economic activity in South Africa in a structural dynamic factor model framework. We find, using the full-sample period, US supply shocks are transmitted to South Africa through business confidence and imports of goods and services; while US demand shocks are transmitted via interest rates, stock prices, exports of goods and services, and real effective exchange rates. Second, there is a decrease in integration over time translated by a drop in synchronisation of cycles. The impact of an increase in comovement of GDP is outweighed by the structural reforms initiated by the government after the end of apartheid. Finally, the idiosyncratic component still plays an important role in the South African economy.     

中美两国汇率波动与相对经济周期的联动性——基于频谱分析的研究

本文指出人民币兑美元实际汇率波动可能与中美两国间相对经济周期具有紧密的联动性,为此,本文首先构造了一个理论模型对两国间实际汇率波动与相对经济周期关联的存在性进行了论证,随后应用频谱分析技术对1994:Q1至2011:Q4人民币兑美元实际汇率波动与中美相对经济周期的联动性进行了实证检验。主要的结论有两个,一是在样本时段内中美相对经济周期领先于人民币兑美元实际汇率的波动,二是在4年左右一个波动周期的频域内二者的联动性最高。以上结论说明中美相对经济周期是人民币兑美元汇率波动的决定因素,而调整人民币兑美元汇率并不能改变中美两国经济的失衡关系。     

杠杆率的持续性与溢出效应:基于四部门的实证研究

文章采用TVP-VAR模型系统考察了我国非金融企业部门、金融部门、居民部门、政府部门四部门杠杆分别对总产出和资产价格波动的时变影响，从产出效应和潜在风险两方面实证检验了各部门杠杆率的可持续性。研究发现：杠杆率过快增长会加重资产价格波动，使金融不稳定性上升，削弱杠杆率对产出增长的促进作用。当前，非金融企业部门、政府部门、居民部门杠杆对产出仍有较显著的正向影响，而金融部门杠杆上升对产出的正向影响最小，对资产价格波动的正向影响最大。进一步，文章实证研究了杠杆率变动在部门间的信息溢出，发现政府部门加杠杆将显著推升全社会杠杆率，金融部门杠杆率上升对非金融企业部门杠杆有挤出作用，居民部门杠杆则可以分担部分非金融企业和政府部门的过剩杠杆。因此，当前应优先调控金融部门杠杆，减少资金在金融体系内空转套利，其他三个部门则应保持杠杆率总量的平稳。研究结论对于宏观金融稳定和结构性去杠杆政策的实施有重要的实践意义。     

THE ROLE OF THE EXCHANGE RATE IN A NEW KEYNESIAN DSGE MODEL FOR THE SOUTH AFRICAN ECONOMY

We build a small open economy New Keynesian dynamic stochastic general equilibrium model for South Africa similar to Steinbach et al. We abandon their assumption of complete risk sharing with the foreign economy, and introduce country risk shocks to allow deviations from uncovered interest rate parity. These changes allow us to include the exchange rate as an observable variable in the estimation of the model. Using forecast error variance decompositions and historical decompositions, we show that country risk shocks have sizable effects on the South African business cycle. We also explore the optimal monetary policy implications of our model within the context of Taylor rules.     

Financial Factors,Openness and the Natural Interest Rate in China

China's financial market has undergone significant changes since financial deleveraging commenced and regulatory supervision was tightened in 2017. Intensifying China–US trade tensions have further increased the uncertainties of external environments. In this article, we use a Bayesian approach instead of the standard maximum likelihood estimation in the Laubach–Williams model to estimate the natural interest rate by considering financial factors and open conditions, and analyze the relationships among the natural interest rate, economic activities and monetary policies. We find that technological and demographic factors are the main drivers of natural interest rates, while financial factors and open conditions also play important roles. In particular, shocks in the financial markets and the external economic environment in recent years are important reasons for the decline of China's natural interest rate. Therefore, it is necessary to strengthen research on the estimation of the natural interest rate to ensure China's transformation into more price‐based monetary policy and high‐quality development.