Politics and the stock market: Evidence from Germany

We analyze the interaction of stock market movements and politics in Germany. Evidence from popularity functions and VAR-based evidence suggests that stock market returns have affected the popularity of German governments. We only find weak evidence that the political process has had an impact on the stock market. In contrast to empirical evidence for the U.S., we do not find that German stock market returns tend to be higher during left-wing than during right-wing governments. Also in contrast to results for the U.S., we find no evidence for an election cycle in German stock market returns.     

Business cycles in EU new member states: How and why are they different?

This paper uses the business cycle accounting framework to investigate the differences between economic fluctuations in Central and Eastern European (CEE) countries and the euro area. We decompose output movements into the contributions of four economic wedges, affecting the production technology, the agents’ intra- and intertemporal choices, and the aggregate resource constraint. We next analyze the observed cross-country differences in business cycles with respect to these four identified wedges. Our results indicate that business cycles in the CEE countries do differ from those observed in the euro area, even though substantial convergence has been achieved after the eastern EU enlargement. The major differences concern the importance of the intra- and intertemporal wedges, which account for a larger proportion of output fluctuations in the CEE region and also exhibit relatively little comovement with their euro area counterparts.     

Endogenous technical progress,R&D periods and durations of business cycles

How do growth and cycles interact? Endogenous growth and business cycle theories are integrated to explain business cycles over different frequencies, especially at lower frequencies, on the balanced growth path. A new variable-R&;D time period-broadens the concept of intertemporal substitution and determines the durations of the medium and long cycles. As a result, the evolution of technology is separated from short-run shocks. A more promising new invention shrinks the R&;D period since waiting is costly, which pushes up the level of economic activity and causes a boom, while a less promising new invention does the opposite. The level of economic activity in turn affects the near-term growth rate. Thus, a recession is not caused by a negative shock as in the standard real business cycle models, but can be associated with a positive, though lower, growth rate of technology. The results capture the major features of U.S. data in both time and frequency domains.     

Moments of cross-sectional stock market returns and the German business cycle

Based on monthly data covering the period from 1987 to 2021, we analyse whether cross-sectional moments of stock market returns may provide information about the future position of the German business cycle. We apply in-sample forecasting regressions with and without leading indicators as control variables, pseudo-out-of-sample exercises, autoregressive distributed lag models, and impulse-response functions estimated by local projections. We find in-sample predictive power of the first and third cross-section moments for the future growth of industrial production, even if one controls for well-established leading indicators for the German business cycle. Out-of-sample tests show that these variables reduce the relative mean squared error compared with benchmark models. We do not find a long-run relation between the moment series and industrial production. The dynamic response of industrial production to a shock on the cross-section moments is in line with the other results.     

Forecasting stock market volatility: The role of technical variables

Accurate volatility forecasts are required by both market participants and policy makers. In this paper, we forecast stock return volatility by using a wide range of technical indicators constructed based on the past behavior of stock price, volatility and trading volume. Our out-of-sample results indicate that the incorporation of technical variables in the autoregression benchmark can produce significantly more accurate volatility forecasts. The forecasting performance of the combination of technical indicators is further compared with that of the popular economic indicators. Technical variables perform better than economic variables when the economy is an expansion, while the economic variables generate more accurate forecasts when the economy belongs a recession. These two types of variables provide complementary information over the business cycle. We obtain more reliable forecasts by combining all economic and technical information together than by combining either type of information alone.     

House price,mortgage premium,and business fluctuations

This paper investigates the transmission mechanism of mortgage premium to characterize the relationship between the housing market and business cycle for the U.S. We find that mortgage premium is crucial for the amplification and propagation of the model to match the main properties of U.S. housing market and business cycles. The counterfactual analysis suggests that had the Federal Reserve raised the interest rate in 2003Q1, it would have curbed the housing market boom before the crisis, yet failed to alleviate the precipitous decline in housing market activity after the crisis. Moreover, the pre-emptive monetary policy aimed to contain the housing market boom can effectively lower volatilities of major economic aggregates; however, it also exerts a significantly negative effect on the levels of these economic aggregates. Thus, using monetary policy to stabilize asset price inflation involves a trade-off between the volatility and the level of economic activity.     

The nonlinear multidimensional relationship between stock returns and the macroeconomy

We use nonparametric dimension-reduction methods to extract from a set of 15 macroeconomic variables the risk factors that are priced in the stock market. The dominant factor moves with the business cycle but, because it is a nonlinear function of observed macroeconomic variables, it captures a rich set of interactions. Low-credit risk and low-inflationary expectations have a greater positive effect on stock returns when leading macroeconomic indicators are high relative to current economic activity, i.e. early in the business cycle as the economy emerges from recession. High-stock returns also arise in periods when the economy is booming relative to its leading indicators, but such periods tend to portend crashes.     

Dynamic employment adjustments over business cycles

This paper uses U.S. monthly industrial production employment data between 1964 and 2000 to examine the dynamic labor adjustments of production workers and nonproduction workers in both the short and long-run. The results from the short-run analysis show that the dynamic adjustment of production workers is consistent with business cycles. However, the adjustment of nonproduction workers is relatively fixed, lags behind the shocks over business cycle changes, and exhibits the quasi-fixed factor property. In the long-run, we found that nonproduction workers and production workers are cointegrated indicating that the two series are in long-run equilibrium.First version received: March 2002/Final version received: November 2003We would like to thank James McClure, participants in the Economics Department seminar series at Ball State University, and an anonymous referee for their comments and suggestions.     

中美两国经济周期协动性分析

美国是世界第一大经济体也是中国的第一大贸易国,其国内的经济波动对中国经济的发展有着重要的影响。通过HP滤波法并使用1978—2009年度数据以及2008—2010年季度数据对中美两国经济周期波动的协动性研究后发现,中美经济周期协动程度随周期变动且呈现出明显的增强趋势,中国经济增长潜力高于美国且经济波动幅度逐渐减小。为此,应加强对美国经济周期波动的预测与中国货币政策制定、施行时机的把握,从而做到提前反周期操作。     

Measuring the cyclicality of labour market flows using individual transitions

We investigate whether the choice of a business cycle measure affects estimates of the cyclicality of labour market flows. We exploit precise administrative data on individual labour market transitions and study the association of alternative business cycle measures with individual transitions between employment and unemployment. We find indeed substantial heterogeneities across business cycle indicators that may have affected the results of prior studies on labour market transitions.     

Consumption,wealth and business cycles in Germany

This paper studies the long-run relationship between consumption, asset wealth and income—the consumption–wealth ratio—based on German data from 1980 to 2003. We find that departures from this long-run relationship mainly predict adjustments in income. The German consumption–wealth ratio also contains considerable forecasting power for a range of business cycle indicators, including the unemployment rate. This finding is in contrast to earlier studies for some of the Anglo-Saxon economies that have shown that the consumption–wealth ratio reverts to its long-run mean mainly through subsequent adjustments in asset prices. While the German consumption wealth ratio contains little information about future changes in German asset prices, we report that the U.S. consumption–wealth ratio has considerable forecasting power for the German stock market. One explanation of these findings is that in Germany—due to structural differences in the financial and pension systems—the share of publicly traded equity in aggregate household wealth is much smaller than in the Anglo-Saxon countries. We discuss the implications of our results for the measurement of a potential wealth effect on consumption. The views expressed in this paper are those of the authors and do not reflect the position of the Deutsche Bundesbank. We gratefully acknowledge comments and suggestions from an anonymous referee as well as from Heinz Herrmann, Helmut Lütkepohl, the editor, Baldev Raj, Burkhard Raunig, Monika Schnitzer, Harald Uhlig and Christian Upper. We also benefitted from comments by seminar participants at the ECB, the Deutsche Bundesbank, the CESifo Macro, Money and International Finance Area Conference 2005, the EEA 2005 annual congress and at the 2005 IAEA Meetings. Last but not least, we would like to thank Mark Weth for very useful information concerning the construction of the financial wealth data. Hoffmann’s work on this paper is also part of the project The International Allocation of Risk funded by Deutsche Forschungsgemeinschaft in the framework of SFB 475. Responsibility for any remaining errors and shortcomings is entirely our own.     

Politico-economic models and cycles

Studies are surveyed analyzing the mutual interaction of economy and polity in an empirically testable way. A wide variety of assumptions are made concerning the behaviour of economic and political decision-makers–in particular voters and government, as well as the economic and political sectors. Representative models are discussed considering steady state equilibria and political business cycles, and empirical results are presented for the U.S., the U.K. and Germany. Finally, the potential and prospects of politico–economic modelling are discussed.     

Agency costs and business cycles

Summary. This paper develops a model with endogenous agency costs that is otherwise quite similar to the canonical real business cycle model. The traditional assumption in the literature is that these agency costs arise in the production of investment goods. In contrast, this paper assumes that these costs are all encompassing in the sense that they arise in the production of aggregate output. The paper explores both the importance of the investment vs. output assumption for business cycle dynamics, and the conditions under which these agency models can deliver amplification and/or persistence. The paper has two principal conclusions. First, in terms of amplification and propagation, the output model performs worse than does the investment model. This arises because a variable distortion in the investment market has more of an impact than a comparable distortion in the output market. Second, in this model with optimal consumption choice by entrepreneurs, there is a clear tension between amplification and persistence. Received: December 30, 1997; revised version: April 1, 1998     

经济民主与社会主义市场经济的政治经济学含义:基于生产方式视角的分析

长期以来,作为社会主义市场经济的政治经济学含义的主要载体,经济民主的作用并不明显。出现这一现象的原因有二:在理论上,学界关于经济民主的论述强调生产关系视角而忽视生产方式视角。这样的把握方式导致经济民主体系处于悬置的状态;在现实中,将美国型市场经济视为唯一的参照系导致具有后福特主义色彩的经济民主无法进入政策议程。本文认为,以生产方式视角下的经济民主为中心,有选择、有秩序地推进经济民主是当下的现实选择。     

Measuring business cycles: A temporal disaggregation model with regime switching

In this paper, we propose a temporal disaggregation model with regime switches to disaggregate U.S. quarterly GDP into monthly figures. Alternative to the existing literature, our model is able to capture the nonlinear behaviors of both aggregated and disaggregated output series as well as the asymmetric nature of business cycle phases. To demonstrate the applicability of the proposed model, we apply the model with a Markov trend component to U.S. quarterly real GDP. The results suggest that the combination of a temporal disaggregation model with Markov switches leads to a successful representation of the data relative to the existing literature. Also, the inferred probabilities of unobserved states are clearly in close agreement with the NBER reference cycle on a monthly basis, which highlights the importance of nonlinearities in business cycle.     

The time-varying characteristics of the Chinese financial cycle and impact from the United States

ABSTRACT

Although there have been many empirical studies about the financial cycle since the financial crisis of 2008, few have analysed the structural changes in the Chinese financial cycle over time. The Chinese financial development process is short, and it is difficult to obtain accurate results on the measurement of the financial cycle. Based on wavelet analysis, this paper analyzes the time-varying characteristics of the Chinese financial cycle and the relationship between the financial and business cycles. In addition, we measure the impact from the United States. This paper draws three conclusions. Firstly, in terms of the characteristics of cycles, the existence of Chinese business cycle and financial cycle is proved, while the credit cycle, leverage cycle, stock market cycle and property cycle are quite different. Specifically, China has a 5.8-year credit cycle, an 8-year stock market cycle, 3.4-year and 12-year business cycles and a 15-year leverage cycle. Secondly, the financial cycles can serve as leading indicators of the business cycle, though the relationships between them are change overtime. Finally, the United States has a significant impact on the Chinese financial cycle with a ‘decoupling-recoupling’ effect, which is mainly reflected in the leverage cycle and the stock market cycle.     

Countercyclical markups and news-driven business cycles

The standard one-sector real business cycle model is unable to generate expectations-driven fluctuations. The addition of countercyclical markups and modest investment adjustment costs offers an easy fix to this conundrum. The simulated model replicates the regular features of U.S. aggregate fluctuations.     

The equity price channel in a New-Keynesian DSGE model with financial frictions and banking

This paper studies the role of the equity price channel in business cycle fluctuations, and highlights the equity price channel as a different aspect to general equilibrium models with financial frictions and, as a result, emphasizes the systemic influence of financial markets on the real economy. We develop a canonical dynamic general equilibrium model with a tractable role for the equity market in banking, entrepreneur and household economic activities. The model is estimated with Bayesian techniques using U.S. data over the sample period 1982Q01–2015Q01. We show that a dynamic general equilibrium model with an equity price channel well mimics the U.S. business cycle. The model reproduces the strong procyclicality of the equity price. The equity price channel significantly exacerbates business cycle fluctuations through both financial accelerator and bank capital channels. Our results support the increasing emphasis on common equity capital in Basel III regulations. This is beneficial in terms of financial stability, but amplifies and propagates shocks to the real economy.     

The changing structure of cost and demand for the U.S. telecommunications industry

This paper formulates a multiproduct structural model to examine the evolution of the structures of production and demand and their dynamic interaction, over an extended period, 1935–1987, in the U.S. telecommunications industry. We estimate the degree of scale economies, cost elasticities, input price elasticities and the determinants of demand for outputs and for various factors of production. The contributions of the quasi-fixed inputs, such as R&D and physical capital, in the evolution of this industry are evaluated. A number of important issues like the changing characteristics of demand for and cost of local and toll services and the variation of price–cost margin over time are examined under different economic conditions, market structures and regulatory environments. We also analyze the effects of the 1984 divestiture of the Bell System on the cost structure, employment and capital formation of the U.S. telecommunications industry.     

面对中国市场经济地位问题：美国和欧盟的政策比较及启示

在今年若干国家正式承认了中国的市场经济地位的国际背景下,美国和欧盟却宣称暂时不给予中国市场经济地位。美国和欧盟作为中国的两大贸易伙伴,这样的外交辞令无疑会对其他与中国有贸易往来的国家产生导向作用,而这与中国目前积极争取获得市场经济地位的近期目标是相左的。针对美国和欧盟对中国市场经济地位的政策比较,进而分析两者的异同,谋求各个击破的方法并提出相应的政策建议,最终为中国争取全面获得市场经济地位做出努力。