State‐Led Financial Regulation and Representations of Spatial Fixity: The Example of the Spanish Real Estate Sector

This article offers a bottom‐up contribution to the fixity–motion literature. It aims to unravel the apparent contradiction of real estate spatial fixity in Spain, which is portrayed both as a barrier to accumulation and as a unique source of investment by different capitalist actors. Empirically, it describes the shifts in real estate ownership and changes in profit‐making strategies that have taken place across the real estate sector during the crisis years, and the role of the state in these shifts. The article asserts that the idea of spatial fixity representing a spatial barrier for accumulation does not necessarily apply in the Spanish case. It further claims that the tensions in capital circulation through real estate are not only to be found in the action of time, but in different state strategies pursued by various actors. The opposing representations of fixity are the result of state regulation of interest rates, taxation and risk weighting. The state also increasingly promotes land rents as a source of liquidity creation.     

Hedonic pricing and the spatial structure of housing data – an application to Berlin

Housing prices are largely determined by physical location. By applying the outsample prediction accuracy of rental prices as evaluation criteria, we examine whether the choice of the hedonic model additionally depends on the spatial structure of housing data, i.e. accounting for locational effects by either district fixed effects or spatial econometric modelling. Our results show that a generalised spatio-temporal model outperforms a district fixed effects model only if the spatial density – the weighted mean distance to nearest neighbours – is relatively small. Moreover, we use the required density thresholds to deduce a pseudo indifference curve, thereby showing that the ratio of the weighted spatial distance-to-the mean district diameter increases with the mean sample size per district. This emphasises the role of data structure and district choices for model selection. Differences in data can thereby serve as an explanation for contradictory findings in literature, whether spatial econometric methods or simple district fixed effects are used.     

Asymmetric effects of housing wealth on college enrolment

We investigate the impact of housing wealth, credit availability and financial distress on college enrolment decisions. We find that housing wealth is negatively related to enrolment in public schools and positively related to enrolment in private schools. This evidence suggests that, on average, students substituted away from private schools towards public institutions during the recent financial crisis.     

On credit and output: Is the supply of credit relevant?

The consensus that changes in the supply of credit were irrelevant to making monetary policy decisions existed among macroeconomists during the second half of the twentieth century. Transmission of shocks to the real economy through changes in the supply of credit, however, played an important role in the recent U.S. financial crisis. This paper explores the extent to which policymakers should consider changes in the supply of credit when making forecasts and monetary policy decisions. More specifically, it considers whether a measure of real credit balances offers consistent and stable information, beyond that of a real interest rate and real money balances, about future output gaps during the U.S. post-war era. Results yield evidence that changes in real credit balances are the only variable, among those considered, to provide consistent and stable information about future output gaps over the entire sample period. Each information variable, however, provides relatively little value added for forecasting future output gaps, beyond a simple autoregressive model. To improve upon forecasts and monetary policy decisions, policymakers therefore should consider a broader range of information variables and occasionally reassess the relative weightings assigned to each.     

Forecasting Bordeaux wine prices using state-space methods

Generic Bordeaux red wine (basic claret) can be regarded as being similar to an agricultural commodity. Production volumes are substantial, they are traded at high frequency and the quality of the product is relatively homogeneous. Unlike other commodities and the top-end wines (which represent only 3% of the traded volume), there is no futures market for generic Bordeaux wine. Reliable forecasts of prices can to large extent replace this information deficiency and improve the functioning of the market. We use state-space methods with monthly data to obtain a univariate forecasting model for the average price. The estimates highlight the stochastic trend and the seasonality present in the evolution of the price over the period 1999 to 2016. The model predicts the path of wine prices out of sample reasonably well, suggesting that this approach is useful for making reasonably accurate forecasts of future price movements.     

Irreversible investment,ambiguity and equity default swaps

We study the impact of ambiguity on the pricing and timing of the option to invest. There is a funding gap to undertake the investment, which is covered by entering into an equity-for-guarantee swap. Our model predicts that the more ambiguity-averse the agents, the less the option value, the later the investment and the higher the guarantee cost and the leverage. If the entrepreneur is more ambiguity-averse than the insurer, the investment threshold slightly rises as the perceived ambiguity increases, and on the contrary, if the entrepreneur is less ambiguity-averse than the insurer, the investment threshold increases sharply as the perceived ambiguity rises.     

Insurance activity,real output,and geopolitical risk: Fresh evidence from BRICS

This paper fills some empirical gaps by evaluating the causal associations among insurance premiums, real output, and geopolitical risk in BRICS (Brazil, Russia, India, China, South Africa) from 1985 to 2017. We utilize a newly-developed Granger-causality quantile analysis to assess the causal relationships among the series under consideration in each distribution quantile. Our empirical results reveal unidirectional causality that runs from real output and geopolitical risk to insurance activities in Brazil and South Africa. We also observe bi-directional lower-tail causality among real output, insurance premiums, and geopolitical risk in Russia. Findings also present bi-directional causality among real output, insurance premiums, and geopolitical risk at different quantiles. Knowledge of these causal relationships can prevent governments from conducting a ‘one-size-fits-all’ policy.     

Real earnings management around CEO turnovers

Following CEO turnovers, US firms adjust real business activities to manage earnings downwards (REM bath). This effect is most pronounced in firms with low levels of institutional ownership. REM baths early in CEOs’ tenure can be confounded with legitimate adjustments to business activities. However, we show that they are not accompanied by increases in R&D or capital expenses, nor are they explained by restructuring expenses. CEOs with short tenure record more negative REM measures in their first year of tenure, when compared with CEOs with long tenure.     

货币传导异质性与实体经济流动性配置的“马太效应”

货币政策支持实体经济高质量发展的关键在于疏通货币政策传导机制,引导流动性进入重点领域和薄弱环节,因此货币资金的配置效率至关重要。本文基于交互效应面板分位数回归,测度货币政策对实体企业流动性的异质性效应。研究发现:在样本期内,实体经济流动性配置陷入了资金越充裕的企业越易于获得融资,越易于获得融资的企业资金越充裕的窘境。这种流动性配置的“马太效应”具体表现为,货币政策对尾部企业的支持力度不及头部企业的一半;虚拟经济对尾部企业的“分流效应”高达头部企业的3倍,从而强化了流动性配置的失衡。因此,当前密集出台的一系列普惠政策有助于提升流动性配置效率,进一步完善调控模式的关键在于健全现代化金融体系,增强货币政策的靶向性和针对性。     

Stock market dependence in crisis periods: Evidence from oil price shocks and the Qatar blockade

This paper examines the correlation and the dependence patterns of the Qatar stock market with other markets using copula statistical theory and exploiting new datasets covering the period August 1998 to June 2018. To examine the crisis –specific change in the average degree of dependence we decomposed the data into the time periods before and after oil price shocks and the 2017 political crisis among the Gulf Cooperation Council members (i.e. the Qatari blockade). Our findings from the static copula modelling show that the correlations between the Qatari and the other stock markets significantly change after the oil price and the blockade crisis as well. The degree of change in the correlation is time varying and differs from county-group to another. Moreover, our findings reveals that the 2008 global financial crisis has a stronger impact than the price shocks and political crisis. The findings of the paper are of interest and allow for formulating a reliable and dynamic portfolio design framework for investors and risk managers.