Financialization and the macroeconomy. Theory and empirical evidence

This paper sheds light on the macroeconomic impact of financialization in the banking sector. We develop a new stock-flow consistent model, which reveals that excessive leverage increases financial fragility, lowers wages, and slows down real sector investment and GDP growth. Using a panel of 29 high income countries, we then construct indicators of banking financialization and investigate the impact of the latter on the wage share, gross capital formation and GDP growth, using a Bayesian structural VAR framework, as well as a set of fixed effect regressions. Our results highlight that financialization has had a detrimental impact on real sector growth. Finally, we discuss the implications of our results to propose reforms to the international financial system.     

Uncertainty and crude oil market volatility: new evidence

ABSTRACT

The main goal of this paper is to investigate the predictability of five economic uncertainty indices for oil price volatility in a changing world. We employ the standard predictive regression framework, several model combination approaches, as well as two prevailing model shrinkage methods to evaluate the performances of the uncertainty indices. The empirical results based on simple autoregression models including only one index suggest that global economic policy uncertainty (GEPU) and US equity market volatility (EMV) indices have significant predictive power for crude oil market volatility. In addition, the model combination approaches adopted in this paper can improve slightly the performances of individual autoregressive models. Lastly, the two model shrinkage methods, namely Elastin net and Lasso, outperform other individual AR-type model and combination models in most forecasting cases. Other empirical results based on alternative forecasting methods, estimation window sizes, high/low volatility and economic expansion/recession time periods further make sure the robustness of our major conclusions. The findings in this paper also have several important economic implications for oil investors.     

Model uncertainty and aggregated default probabilities: new evidence from Austria

Understanding the determinants of aggregated corporate default probabilities (PDs) has attracted substantial research interest over the past decades. This study addresses two major difficulties in understanding the determinants of aggregate PDs: model uncertainty and multicollinearity among the regressors. We present Bayesian model averaging (BMA) as a powerful tool that overcomes model uncertainty. Furthermore, we supplement BMA with ridge regression to mitigate multicollinearity. We apply our approach to an Austrian data set. Our findings suggest that factor prices like short-term interest rates (STIs) and energy prices constitute major drivers of default rates, while firms’ profits reduce the expected number of failures. Finally, we show that the results of our model are fairly robust with respect to the choice of the BMA parameters.     

Real-time uncertainty in budget planning: evidence from euro area countries1

Using rich panel data including potential output for euro area countries, we analyse budget balance forecasts and their errors. We find that budget balance forecasts are systematically biased and subject to mean reversion (tendency towards more balanced budgets). A robust result is that errors in budget balance nowcasts contribute to errors in budget balance forecasts. In addition, we find that nowcasted macroeconomic conditions can affect over-optimism in budget balance forecasts. Overall, our results emphasize the central role of nowcasting in the EU fiscal framework.     

Macroeconomic policy uncertainty shocks on the Chinese economy: a GVAR analysis

This article studies the spillovers of economic policy uncertainty (EPU) from developed economies to China in terms of the source, extent and persistence by estimating a global vector autoregressive (GVAR) model with both financial and trade variables acting as the transmission channels. Our findings confirm the existence of international transmissions of policy uncertainty, while the patterns differ markedly. The US EPU appears to be the most significant cause of the fall of export, industrial production, equity price and exchange rate, meanwhile, the EU EPU is also to be blamed for the depreciation of RMB. In contrast to industrial production, which shows the largest negative impact, Chinese inflation increases to a relatively smaller extent with the EPU shocks ranking as the US, Japanese and the EU. Regardless of the minor impact on a long-term interest rate, the short-term interest rate in China reacts positively to the European and US EPU shocks. Despite the independent national monetary policies, EPUs from the EU, Japan and the UK can decrease the Chinese monetary aggregate. In summary, the Chinese economy responds the most to the US EPU, especially to its inflation expectation disagreement component, whereas it responds the least to the UK EPU.     

Predictability of sustainable investments and the role of uncertainty: evidence from a non-parametric causality-in-quantiles test

In this article, we examine sustainable investments returns predictability based on the U.S. Dow Jones Sustainability Index (DJSI) and a wide set of uncertainty and financial distress indicators for the period 2002:01–2014:12. To this end, we employ a novel non-parametric causality-in-quantile approach that captures non-linearities in returns distribution. Based on our findings we conclude that the aggregate economic policy uncertainty (EPU) indicator and some components have predictive ability for real returns of the U.S. sustainable investments index. Moreover, if we split our sample to before and after the global financial crisis our results suggest that predictors carry causal information for real returns only in the after-crisis period. Finally, some marginal evidence of predictability from sovereign debt is also observed at the lower and upper ends of the conditional distribution of the real returns of sustainable investments. Our results might entail policy implications for investors and market authorities.     

Investments and uncertainty revisited: the case of the US economy

This article examines the relationship between investments and uncertainty for the US economy, as the latter is approximated by consumer sentiment, purchasing managers’ prospects and economic policy uncertainty. Contrary to the existing literature, we provide evidence that this relationship is time varying. The time variation is attributed to the observed temporal replacement effect between private and public investments. Furthermore, we show that there are two distinct correlation regimes in this relationship and unless we concentrate on them, we cannot fully unravel the real link between uncertainty and investments. Finally, we examine whether the use of the two correlation regimes provides better forecasts for investments compared to the use of the uncertainty indices alone. The forecasting exercise reveals that the use of correlation regimes provides statistically superior out-of-sample forecasts.     

Yield curve and the macroeconomy: Evidence from a DSGE model with housing

The slope of the yield curve has long been found to be a useful predictor of future economic activities, but the relationship is unstable. One change we have identified in this paper is that, between the early 1990s and the collapse of the housing market in 2007, movements at the long end of the yield curve have an increase in predictive power. We use a medium-scale DSGE model with a housing sector and a yield curve as a guide to find out the sources of such change. The model implies that an increase in the short-term interest rate and a decrease in the long-term interest rate have different impacts on the economy, and to use the slope as a predictor one needs to distinguish movements at the two ends of the yield curve. Based on simulated data from the model, we find that nominal wage rigidities and the capital adjustment costs are closely related to the predictive power of the yield curve. This result is further confirmed with actual data.     

Economic policy uncertainty and the Chinese stock market volatility: new evidence

This study investigates the impacts of the economic policy uncertainty (EPU) indexes of China and the G7 countries on Chinese stock market volatility and further constructs a new diffusion index based on these indexes using principal component analysis (PCA) to achieve enhanced predictive ability. The in-sample results indicate that the EPU indexes of China and some of the G7 countries show a significantly negative impact on future volatility. Moreover, our constructed diffusion index also has a significantly negative impact. Furthermore, the out-of-sample results show that this diffusion index exhibits a significantly higher forecast accuracy than the EPU itself and combination forecasts. Finally, various robustness checks are consistent with our main conclusions. Overall, we construct a new and useful indicator that can substantially increase forecast accuracy with respect to the Chinese stock market.     

Internationalization and industrial districts: evidence from the Italian automotive supply chain

In this paper we focus on the determinants of internationalization and, in particular, on the specific role played by the agglomeration of small and medium sized enterprises (SMEs) through their proximity to a large firm. We study the characteristics of the internationalization process in a representative sample of 786 firms in the Italian automotive supply chain. After building an Internationalization Strategy Index (ISI), we perform a multinomial logit econometric analysis. The main findings of the empirical analysis are: (a) Italian automotive supplier firms mainly go in the foreign markets through export, i.e. the simplest internationalization mode; (b) as predicted in the literature, individual firm characteristics play a significant role in the probability of internationalization; (c) firms located in the province of Turin, where the dominant car assembler (Fiat) in Italy has its headquarters, or more generally, in large automotive industry districts, enjoy a clear localization advantage; (d) interestingly, we also find that internationalization is negatively correlated with the share of Fiat in suppliers’ sales, and that suppliers located in a district and less dependent on Fiat are also those adopting the most advanced internationalization strategies.     

Technology spillover effects and economic integration: evidence from integrating EU countries

The article uses time series for the period 1981–2008 to estimate the impact of foreign technology spillover effects on Greece, Ireland, Portugal and Spain, representing the integrating European Union (EU) countries. I restrict technology diffusion to EU-12 countries and compare the results to unrestricted technology diffusion from a sample of 32 OECD countries. Accounting for nonstationarity and co-integration, the dynamic OLS estimator is used to estimate the impact of foreign R&D stock on labour productivity, taking into account patent-, trade- and FDI-related technology diffusion channels. I find empirical evidence for trade-related foreign technology spillover effects for Greece and Ireland if technology diffusion is unrestricted. Restricting technology diffusion to EU-12 countries, there are significant foreign technology spillover effects from European integration for Portugal (patent related) and Spain (trade and FDI related). Moreover, the domestic R&D stock and education are significant drivers for labour productivity in integrating EU countries. The empirical results are robust for different regression specifications and sources of technology diffusion.     

Suicide as an indicator of quality of life: evidence from dialysis patients

Quality of life has been measured in many different ways for patients with chronic medical conditions. What is unique about the approach used here is that it uses suicide rates as a relatively objective measure of quality of life within the population of dialysis patients. Using a Heckman selection model, we estimate the relative suicide rates across patients undergoing both hemodialysis and peritoneal dialysis. Our empirical results show that patients on hemodialysis have relatively lower suicide rates after controlling for other factors. Specifically, our results indicate that 141 fewer suicides will occur for every 1,000 patients shifted from peritoneal to hemodialysis. Prior estimates of the higher costs of the latter modality yield an estimated expenditure of $42,043 per suicide avoided.     

The yield curve and the macroeconomy: Evidence from Turkey

This paper contributes to the literature on the relationship between the yield curve and macroeconomic variables by focusing on an emerging market case: Turkey. The most important result of the paper is that the relationship between the yield curve and macroeconomic variables is significantly affected by the change in monetary policy which is associated with the implementation of inflation targeting (IT) regime. While before the IT regime the yield curve is affected to some extent by macroeconomic variables, after the IT regime, it is mainly driven by macroeconomic variables. We also find that central bank has gained ability to affect the entire yield curve with the IT regime. The other important result is that in addition to inflation and real activities, the exchange rates also play an important role in the yield curve dynamics in Turkey.     

Uncertainty and sustainability in the management of rangelands

We analyze a dynamic and stochastic ecological-economic model of grazing management in semi-arid rangelands. The ecosystem is driven by stochastic precipitation. A risk averse farmer chooses a grazing management strategy under uncertainty such as to maximize expected utility from farming income. Grazing management strategies are rules about which share of the rangeland is given rest depending on the actual rainfall in that year. In a first step we determine a myopic farmer's optimal grazing management strategy and show that a risk averse farmer chooses a strategy such as to obtain insurance from the ecosystem: the optimal strategy reduces income variability, but yields less mean income than possible. In a second step we analyze the long-run ecological and economic impact of different strategies. We conclude that a myopic farmer, if he is sufficiently risk averse, will choose a sustainable grazing management strategy, even if he does not take into account long-term ecological and economic benefits of conservative strategies.     

环境不确定性、市场导向与企业绩效——基于嵌入性视角的关系重构及实证检验

本文以嵌入性视角取代原子主义思维方式,重构环境不确定性、市场导向与企业绩效三者之间的关系,并运用结构方程模型进行了实证检验。研究结果表明,环境不确定性的三个构面中,技术变革与市场导向、企业绩效正相关,而竞争强度与市场导向及企业绩效负相关。     

Uncertainty: individuals, institutions and technology

In an attempt to refine the concept of uncertainty, this paperelaborates an ontology of the social world concentrating onindividuals, institutions and technology. It shows the strongentwinement of the ontological aspects of the conceptualisationof uncertainty and epistemological ones. It highlights the ontologicaland epistemological dimensions of different concepts of uncertainty,such as fundamental uncertainty, procedural uncertainty, ambiguityand weak uncertainty (or risk). It also comments on a few writingsthat distinguish varieties of uncertainty with adjectives suchas ‘ontological’ and ‘epistemological’or ‘epistemic’.     

Convergence clustering in the Chinese provinces: New evidence from several macroeconomic indicators

In this paper, the convergence clustering in 31 Chinese provinces regarding several important economic indicators over the period 1952 to 2016 was empirically investigated. Several provincial clusters were identified in the per capita (real) gross domestic product (GDP), consumption–income ratio, retail price, and consumer price inflation rates, using a club convergence and clustering procedure. The empirical findings are as follows. First, it was found that all series of the original data contain a significant nonlinear component. Second, it was observed that there are five significant clusters for the per capita income in China. Third, it was found that there are four significant clusters for the consumption–income ratio. Fourth, it was observed that there are four significant clusters for the retail inflation rates and two significant clusters for the consumer inflation rates in China. These results will enable local and central planners to implement economic growth, savings and price adjustment policies for different groups of provinces.     

Freedom, opportunity and uncertainty: A logical approach

The paper explores the possibility of analyzing opportunities within a logical framework. We make clear how a person's freedom in different choice situations yield opportunity rankings by showing how such rankings are completely determined by subjacent logical chains. We explore one interpretation of such chains in particular, and show that it leads to results similar to those obtained earlier by Nehring and Puppe. Furthermore, for contexts in which not all of the consequences of one's acts are known, we present an alternative characterization of the leximin-ranking.