USA,Japan and the Euro Area: Comparing Business‐Cycle Features

There has been much discussion of the differences in macroeconomic performance and prospects between the USA, Japan and the Euro area. Using Markov‐switching techniques, we identify and compare specifically their major business‐cycle features and examine the case for a common business cycle, asymmetries in the national cycles and, using a number of algorithms, date business‐cycle turning points. Despite a high degree of trade and financial linkages, the cyclical features of USA, Japan and the Euro area appear quite distinct. Documenting and comparing such international business‐cycle features can, for example, aid the development of business‐cycle models and inform policy making.     

Forecasting macro variables with a Qual VAR business cycle turning point index

One criticism of Vector Autoregression (VAR) forecasting is that macroeconomic variables tend not to behave as linear functions of their own past around business cycle turning points. A large amount of literature therefore focuses on nonlinear forecasting models, such as Markov switching models, which only indirectly capture the relation with turning points. This article investigates a direct approach to using information on turning points from the National Bureau of Economic Research (NBER) chronology to model and forecast macroeconomic data. Our Qual VAR model includes a truncated normal latent business cycle index that is negative during NBER recessions and positive during expansions. We motivate our forecasting exercise by demonstrating that if starting from a linear specification, a truncated normal variable is an omitted variable, then forecasts of the remaining variables will become nonlinear functions of their own past. We apply the Qual VAR model to recursive out-of-sample forecasting and find that the Qual VAR improves on out-of-sample forecasts from a standard VAR.     

THE 2007–2008 U.S. RECESSION: WHAT DID THE REAL‐TIME GOOGLE TRENDS DATA TELL THE UNITED STATES?

In the extant literature of business cycle predictions, the signals for business cycle turning points are generally issued with a lag of at least 5 months. In this paper, we make use of a novel and timely indicator—the Google search volume data—to help to improve the timeliness of business cycle turning point identification. We identify multiple query terms to capture the real‐time public concern on the aggregate economy, the credit market, and the labor market condition. We incorporate the query indices in a Markov‐switching framework and successfully “nowcast” the peak date within a month that the turning occurred. (JEL E37, G17)     

Forecasting UK commercial real estate cycle phases with leading indicators: a probit approach

This paper examines the significance of widely used leading indicators of the UK economy for predicting the cyclical pattern of commercial real estate performance. The analysis uses monthly capital value data for UK industrials, offices and retail from the Investment Property Databank (IPD). Prospective economic indicators are drawn from three sources namely, the series used by the US Conference Board to construct their UK leading indicator and the series deployed by two private organisations, Lombard Street Research and NTC Research, to predict UK economic activity. We first identify turning points in the capital value series adopting techniques employed in the classical business cycle literature. Probit models are then estimated using the leading economic indicators as independent variables and forecast the probability of different phases of capital values, that is, periods of declining and rising capital values. The forecast performance of the models is tested and found to be satisfactory. The predictability of lasting directional changes in property performance represents a useful tool for real estate investment decision-making.     

BUSINESS CYCLES IN SINGAPORE: STYLIZED FACTS FOR A SMALL OPEN ECONOMY

This paper sets out to discover the salient characteristics of economic fluctuations in the small open economy of Singapore. To this end, band‐pass filters and unobserved components models are first used to extract the cyclical components in macroeconomic variables. The extent to which domestic business cycles are influenced by foreign economic cycles with regards to their persistence, comovement and volatility properties are then assessed using time‐series statistics. The paper also documents how shocks originating from abroad are propagated to the broader economy. Although it is found that idiosyncratic features are present in Singapore's macroeconomic fluctuations, there are also stylized business cycle facts to be learnt about small open economies in general.     

我国宏观经济周期性特征研究——基于高维机制转换因子模型的考察

本文利用高维机制转换因子模型（LD RS FM）研究大规模经济数据的机制转换特征和经济的周期性特征。借助主成分分析（PCA）和共同因子自回归的二步分析方法,LD RS FM从大规模变量中提炼出维数较小并可以概括经济周期运动的共同因子,在此基础上进行机制转换分析。这些共同因子代表了大部分宏观经济运动的趋势和特征,并具有明显的结构化含义。实证结果表明,LD RS FM在中国宏观经济周期性特征研究方面具有一定的理论和应用价值。     

The Determinants of UK Business Cycles

This paper considers the causes of post-war UK business cycles. Using an extended stochastic growth model we construct estimates of productivity and preference shocks both of which are highly persistent, volatile and potentially capable of explaining UK business cycles. We find the productivity term is the dominant explanation of UK output fluctuations but our estimated preference shift is crucial in understanding employment movements. A variety of Granger causality tests establish whether these productivity and preference terms are unpredictable and so can be potentially considered as the cause of UK business cycles or whether they are themselves Granger caused by other variables.     

Dynamics of Business Cycles in Asia: Differences and Similarities

The paper documents the extent of similarities and differences of business cycle characteristics of the Asian countries and compares the cyclical regularities in this region with those of the G‐7 countries. The Asian economies are generally more volatile than the G‐7 countries, but the amplitude of economic fluctuations in the Asian countries tends to decrease over time. Comovement and persistence properties of business cycles in the Asian countries are very similar to those of the G‐7 economies. The authors find that while the patterns of business cycle fluctuations in the main macroeconomic aggregates display important similarities, the behavior of fiscal and monetary policy variables exhibits significant differences across the Asian countries. Moreover, there is a high degree of comovement between the individual country business cycles and different measures of the Asian business cycle, indicating that there is a regional business cycle specific to the Asian countries.     

An examination of business cycle features in UK Sectoral Output

This article examines business cycle features of UK Gross Domestic Product (GDP) sectors with regard to trends, cycles and growth. The empirical study adopts the Kalman filter to decompose these GDP sectors into trend and cycle components. The general model of this study encompasses a number of alternative specifications about trend growth, therefore accommodating diverse views on growth. There is reasonable support in the results for a mean-reverting stochastic growth model for the UK economy. The characteristics in trends and cycles of UK GDP sectors are discussed, focusing on their similarities and differences around business cycles.     

The changing role of house price dynamics over the business cycle

In this paper, we attempt to analyse the relationship between house price dynamics and the business cycle. Employing a time-varying transition probability Markov switching framework, we provide empirical evidence that house price growth may prove a useful leading indicator for turning point detection. Focusing on three countries, the US, UK and Spain, we furthermore provide evidence that although potentially informative from an overall perspective in business cycle modelling, the significance of signals contained in house prices may not be symmetric across the identified high growth and low growth states. In addition, we suggest a possible range of values for house price deflation which may trigger a recession the following period.     

Business Cycle Comovement and Labor Market Institutions: An Empirical Investigation

This paper examines the empirical link between labor market institutions and international business cycle synchronization. Using a data panel of 20 OECD countries over the 1964–2003 period, we evaluate how cross‐country labor market heterogeneity affects business cycle comovement. Our estimation strategy controls for a large set of possible factors influencing cross‐country GDP correlation, which allows a comparison of our results with those found in previous studies. We find that bilateral trade, trade similarity, monetary and fiscal convergence, as well as EMU membership lead to more synchronized cycles. Our results show that labor market regulations affect the extent of business cycle synchronization. Disparities in employment protection laws and direct taxation tend to lower international comovement while divergence in union density, unemployment benefits, and indirect taxation enhance cross‐country correlations. The level of labor market regulations also matters. Heavier employment taxes are found to raise GDP comovement.     

Credit and business cycles’ relationship: evidence from Spain

This study provides evidence on the interaction between business and credit cycles in Spain during the period 1970–2014. The paper works on three analyses: the cycle turning points are identified; the main features of credit and business cycles are documented; and in both cycles the causal relationship is assessed. We find differences in the features of the business and credit cycle phases, which lead to a scant degree of synchronization over time. The lack of synchronization might be a sign that the cyclic interaction could be non-contemporaneous. Our results reveal that there is causation. A significant lagged relationship between business and credit cycles is found; specifically, fluctuations of the business cycle lead fluctuations of the credit to non-financial corporations and a lag exists with respect to the fluctuations of the credit to households. We also examine episodes of credit boom and credit crunch. In the period 1970–2014, Spanish credit booms did not involve deeper business cycle contractions and credit crunches were not associated with deeper and longer business cycle contractions. These differences are related with the great importance of the real estate sector in Spain.     

Has the Euro changed the business cycle?

In contrast to the notion that the exchange-rate regime is non-neutral, there is little evidence that EMU has systematically changed the European business cycle. In fact, we find the volatility of macroeconomic variables largely unchanged before and after the introduction of the Euro. Exceptions are a strong decline in real exchange rate volatility and a considerable increase in cross-country correlations. To account for this finding, we develop a two-country business cycle model which is able to replicate key features of European data. In particular, the model correctly predicts a limited effect of EMU on standard business cycles statistics. However, further analysis reveals that the Euro has changed the nature of the cycle through its impact on the transmission mechanism. Cross-country spillovers have become relatively more, domestic shocks relatively less important in accounting for economic fluctuations under EMU. This explains why there is little change in unconditional volatilities.     

Bilateral Tax Treaties and GDP Comovement

Using a 30‐year panel of quarterly gross domestic product (GDP) fluctuations from of a broad set of countries, we demonstrate that the signing of a bilateral tax treaty increases the comovement of treaty partners' business cycles by half a standard deviation. This effect of fiscal policy is as large as the effect of trade linkages on comovement and stronger than the effects of several other common financial and investment linkages. We also show that bilateral tax treaties increase comovement in shocks to nations' GDP trends, demonstrating the permanent effects of coordination on fiscal policy rules. We estimate trend and business cycle components of nations' output series using an unobserved‐components model in order to measure comovement between countries and then estimate the impact of tax treaties using generalized estimating equations.     

A Nonlinear Approach for Modeling and Forecasting US Business Cycles

The purpose of this paper is to provide a complete evaluation of four regime-switching models by checking their performance in detecting US business cycle turning points, in replicating US business cycle features and in forecasting US GDP growth rate. Both individual and combined forecasts are considered. Results indicate that while the Markov-switching model succeeded in replicating all the NBER peak and trough dates without an extra-cycle detection, it seems to be outperformed by the Bounce-back model in term of the delay time to a correct alarm. Concerning business cycle features characterization, none of the competing models dominates over all the features. The performance of the Markov-switching and bounce back models in detecting turning points was not translated into an improved business cycle feature characterization since they are outperformed by the Floor and Ceiling model. The forecast performance of the considered models varies across regimes and across forecast horizons. That is, the model performing best in an expansion period is not necessarily the same in a recession period and similarly for the forecast horizons. Finally, combining such individual forecasts generally leads to increased forecast accuracy especially for h=1.     

Cyclical Dynamics of the Turkish Economy and the Stock Market

Abstract

We analyze the cyclical dynamics of the Turkish economy and the stock market as well as their interactions. We use hidden Markov models that are robust to parameter instability arising from major shifts in economic policy, which have been typically observed in the Turkish economy. These models provide estimates of turning points for the growth, business, and stock market cycles. We identify three states of growth cycles and two states of business cycles in Turkey characterized by different mean estimates. We find that the economy went through five recessions since 1987. Crises are characterized by sharp drops in economic activity and are preceded by slowdowns. These crises are typically followed by strong recoveries during which the economy grows above its long-run average rate. We show that the Turkish stock market goes through three regimes having distinct risk-return dynamics. Bear markets associated with negative returns precede every recession with an average lead time of three quarters, suggesting that the stock market may be a useful forward-looking indicator of the Turkish economy.     

基于STR模型的中国宏观经济 周期拐点的识别与预测

本文应用平滑转换模型（STR）对我国经济周期的运行特点及拐点识别进行深入研究,并成功识别出经济周期拐点。研究发现我国GDP机制转换发生在自身滞后1期,增长率96%是扩张与收缩的临界点;固定投资机制转换发生在自身的滞后4期,增长率19%是扩张与收缩的临界点;固定资产投资对GDP的拉动效应具有较为缓慢的调整特征和滞后效应,机制转换发生在固定资产投资的滞后2期。     

The business cycle in a financially deregulated context: Theory and evidence

This article proposes Minsky's financial instability hypothesis (FIH) as a theoretical underpinning for a three‐regime business cycles model. Further, it is argued that the development of the FIH for open, developing economies (FIH‐ODE) provides a better understanding of the performance of business cycles in these economies, particularly during the last two decades. In support of these claims, a three‐regime autoregressive Markov switching model is estimated from 1980q1 to 2000q4 to Mexico's quarterly real GDP to investigate its business cycle behaviour. The estimated probabilities of the high and medium growth regimes suggest, for example, that after the financial liberalisation programme was fully launched, in the late 1980s, the economy shifted from the regime of medium to high growth (and vice versa) swiftly, reflecting its dependence on capital flows. Furthermore, the estimated parameters indicate that the average length of the business cycle has not changed.     

Predicting UK Business Cycle Regimes

This paper uses logistic regression to construct a one‐quarter ahead prediction model for classical business cycle regimes in the UK. The binary dependent variable is obtained by applying simple mechanical rules to date turning points in quarterly real GDP data from 1963 to 1999. Using a range of real and financial leading indicators, several parsimonious one‐quarter‐ahead models are developed for the GDP regimes, with model selection based on the SIC criterion. A real M4 variable is consistently found to have predictive content. One model that performs well combines this with nominal UK and German short‐term interest rates. The role of the latter emphasises the open nature of the UK economy.     

Staggered wages,financial frictions,and the international comovement problem

Standard international real business cycle models often generate negative cross-country correlations in labor and investment. The data, however, display positive correlations. This paper studies the effect of real wage rigidity and financial frictions on international comovement. We find that staggered wages mainly improve the cross-country correlation of labor, while financial frictions improve investment comovement. However, each friction alone cannot account for the magnitude of international correlations of either variable. When the two imperfections are introduced together, the effect of each friction endogenously reinforces the other and the model generates realistic correlations in both variables.