Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model: An application to the German business cycle

We estimate a Markow-switching dynamic factor model with three states based on six leading business cycle indicators for Germany, preselected from a broader set using the elastic net soft-thresholding rule. The three states represent expansions, normal recessions and severe recessions. We show that a two-state model is not sensitive enough to detect relatively mild recessions reliably when the Great Recession of 2008/2009 is included in the sample. Adding a third state helps to distinguish normal and severe recessions clearly, so that the model identifies all business cycle turning points in our sample reliably. In a real-time exercise, the model detects recessions in a timely manner. Combining the estimated factor and the recession probabilities with a simple GDP forecasting model yields an accurate nowcast for the steepest decline in GDP in 2009Q1, and a correct prediction of the timing of the Great Recession and its recovery one quarter in advance.     

The evolution of monetary policy effectiveness under macroeconomic instability

This paper studies the evolution of the monetary policy transmission mechanisms in the US following the Great Recession. The implementation of a modified Dynamic Factor Model enables the identification of two different structural scenarios based on the information contained in a large dataset of 110 variables. Impulse Response Functions to an increase of official interest rate for this large dataset are estimated for each structural context. Three techniques are combined to deal with the dimensionality problems which emerge from an estimation procedure of this magnitude: (i) factor decomposition, (ii) an identification strategy independent of the number of variables included in the dataset and (iii) a blockwise optimization algorithm for the correct selection of the Bayesian priors. Results show the presence of a structural break in 2008 and the higher responsiveness of the economy to monetary policy after that date.     

It ain’t over till it’s over: A global perspective on the Great Moderation-Great Recession interconnection

A large-scale Factor-Augmented Vector Autoregressive (FAVAR) model of the global economy is used to investigate the determinants of the Great Moderation and the transition to the Great Recession (1986–2010). Beside the global-economy perspective, the model presents the novel feature of a broad range of included financial variables and risk factor measures. The results point to various mechanisms related to the global monetary policy stance (Great Deviation), financial institutions’ risk-taking behaviour (Great Leveraging) and global imbalances (savings glut), determining aggregate fluctuations. Finally, an out-of-sample forecasting exercise provides evidence against the ‘end of the Great Moderation’ view, showing that the timing, though not the dimension of the Great Recession episode (2008–2010), was predictable on the basis of the same macroeconomic mechanisms at work over the two previous decades.     

The Great Recession and charitable giving

We examine the impact of the Great Recession on charitable giving. Using the Panel Study of Income Dynamics, we estimate a variety of specifications and find sharp declines in overall donative behaviour that is not accounted for by shocks to income or wealth. These results suggest that overall attitudes towards giving changed over this time period.     

新冠疫情的经济金融影响与应对建议--基于传染病视角的分析

传染病疫情一直威胁着人类的生命健康,对经济社会发展造成较大影响。未来传染病疫情仍然会继续存在,并可能呈多发的趋势。虽然传染病疫情本身难以有效预测,传染病疫情对经济的冲击具有短期、外生性的特点,但是仍然有必要从传染病疫情应对政策方面进行总结研究,形成框架性的政策思路,以有效应对传染病疫情并降低其对经济金融的负面影响。本文结合新型冠状病毒肺炎疫情的经济金融影响和应对政策实践,探讨了传染病疫情应对的政策框架建议。     

美国经济衰退的国际相关性实证研究

本文采用事件窗口分析方法,研究美国近7次经济衰退与主要发达国家、亚洲四小龙的关系。发现美国经济衰退的国际相关性是动态变化的,其中1973年、1980年和2001年是国际相关性最高的3次衰退;新一轮经济周期当中东亚四小龙金融变量与美国高度相关,超过了实体经济变量与美国的相关性。此外,本文还分析了美国与其他国家或地区经济衰退的领先、滞后关系。     

High unemployment and tourism participation*

This paper analyses individual tourism participation decisions during a worldwide economic downturn. Given the nature of tourism services, a reduction in habitual consumption is highly probable during an economic crisis. Since the unemployment rate is strongly correlated with the economic cycle, the hypothesis that is discussed concerns whether residents’ decision to participate in tourism is affected by their region's level of unemployment. More specifically, it is suggested that unemployment not only affects the tourism participation decision of those who are out-of-work, but that aggregate unemployment (measured as the region's unemployment rate) also has a bearing on such decisions made by individuals in general. The results that were obtained for a set of EU countries show that the unemployment level has a positive effect on the probability of not going on holidays. This effect emerges when there is an unemployment rate of over 10%.     

The Limits of Homeownership: Racial Capitalism,Black Wealth,and the Appreciation Gap in Atlanta

In the wake of the 2007–08 housing crash, the Black–white wealth gap reached a staggering 20 to 1. Since then, a growing chorus of influential voices has proposed measures to increase the Black homeownership rate as a means to narrow the gap. Others, however, have argued that the uneven racial geography of home price appreciation necessarily restricts the degree to which Black households, in the aggregate, can build wealth via homeownership. We aim to contribute to these debates by theorizing a racial appreciation gap as a central feature of urban housing markets under racial capitalism, and analyzing how neighborhood racial and income characteristics have structured home price appreciation from before the height of the housing boom (2000–03) to its post-crisis recovery (2014–16). Focusing on the two counties that encompass Atlanta, Georgia, USA—an area famous for Black prosperity—we find that a neighborhood's racial composition has a more salient impact on home price change than its income. Results indicate that when a place is marked as Black, this may itself inhibit home price appreciation, suggesting that an enduring racial appreciation gap may limit the potential for Black homeownership to substantively narrow the racial wealth gap.     

How do socially controversial companies do during a stressful time? Evidence from the Great Recession

This study investigates the performance of socially controversial companies during a financial crisis. Companies are usually considered controversial if they are involved in controversial businesses such as alcohol, tobacco, firearms, nuclear etc. The results show that controversial firms exhibit higher firm value as well as better accounting performance during the Great Recession than otherwise similar, albeit non-controversial, firms. The results are consistent with the notion that the demand for controversial products remains relatively stable even during a stressful time. Further analysis confirms the results, including random-effects analysis, GMM dynamic panel data analysis, and instrumental-variable (IV) analysis. The results of this paper are particularly relevant to portfolio management, where controversial firms may be added to portfolios to inoculate them from a negative shock brought about by an economic crisis.     

A textual analysis of Bank of England growth forecasts

The Bank of England publishes a quarterly Inflation Report that provides numerical forecasts and a text discussion of its assessment of the UK economy. Previous research has evaluated the quantitative forecasts that are included in these reports, but we focus on the qualitative discussion of output growth, by using an in-sample textual analysis procedure to convert these qualitative assessments into a score for each report over the period 2005–2014. We also construct out-of-sample scores for reports before and after this period. We then compare the scores both to real-time output growth data and to the corresponding quantitative projections published by the bank. We find that overall developments in the UK economy were represented accurately in the text of the Inflation Report. Furthermore, efficiency regressions suggest that there is information in the text that could improve the Bank of England’s quantitative nowcasts and one-quarter-ahead forecasts.