Trade openness,financial openness,and macroeconomic volatility

This paper develops a new model of an open economy for a study of macroeconomic dynamics under different degrees of trade and financial openness. The model is estimated using quarterly data on the Chinese economy over the period 2005Q3-2020Q4 and then applied to analyze how macroeconomic volatility varies with trade and financial openness in several representative settings. We find that the impacts on macroeconomic volatility of trade openness and financial openness depend on the nature of the underlying shocks and a moderate degree of trade openness, together with a high degree of financial openness, yield the optimal welfare results in most cases. These results highlight that the effects of trade and financial openness on macroeconomic volatility differ in various situations and that their interactions can lead to different welfare results.     

The role of financial intermediaries in monetary policy transmission

The recent financial crisis has stimulated theoretical and empirical research on the propagation mechanisms underlying business cycles, in particular on the role of financial frictions. Many issues concerning the interactions between banking and monetary policy forced policy makers to redefine economic policies, and motivated macroeconomists to focus on the implications of financial intermediation constraints for asset price fluctuations, the behavior of non-financial firms, households, governments and in turn for real macroeconomic performance. This paper surveys research on the role of financial intermediaries and financial frictions in the transmission of monetary policy and discusses how to design both the new banking regulatory and supervisory structures and monetary policy in order to stabilize the economy. It also serves as an introduction to this special issue.     

The impact of the macroeconomic factors in the bank efficiency: Evidence from the Chinese city banks

This study uses stochastic frontier analysis to examine the impact of the regional disparities in the cost and profit efficiency for a sample of city commercial banks in China from 2005 to 2014. The results indicate that bank efficiency of Chinese City Commercial banks is positively correlated to the per capital GDP but negatively linked to urban population ratio. However, compared the eastern and non-eastern regions, there is a significant difference in effects of macroeconomic factors for bank efficiency. The macroeconomic conditions influence the efficiency of Chinese City Commercial banks in eastern regions are more significant than the others.     

Financial openness and Chinese regional growth imbalance: New insight from spatial spillovers

This paper uses spatial panel methods and Chinese provincial data from 2003 to 2017 to study the spatial spillovers of financial openness on economic growth. The results show, first, a positive direct effect and an overall negative spatial spillover of financial openness on provincial growth. Second, there are two spatial spillover channels: a positive growth externality and a harmful resource competition among provinces. Third, we estimate the state dependence and dynamics of spatial spillover, and find that the negative spatial spillover is smaller in provinces with high levels of financial openness and in the long term; thus, the negative spatial spillover declined over time. These results are robust to the choice of SDM and GNS spatial econometrics methods and under different spatial weight matrices.     

Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7

In this paper, we use survey data to analyze the accuracy, unbiasedness and efficiency of professional macroeconomic forecasts. We analyze a large panel of individual forecasts that has not previously been analyzed in the literature. We provide evidence on the properties of forecasts for all G7-countries and for four different macroeconomic variables. Our results show a high degree of dispersion of forecast accuracy across forecasters. We also find that there are large differences in the performances of forecasters, not only across countries but also across different macroeconomic variables. In general, the forecasts tend to be biased in situations where the forecasters have to learn about large structural shocks or gradual changes in the trend of a variable. Furthermore, while a sizable fraction of forecasters seem to smooth their GDP forecasts significantly, this does not apply to forecasts made for other macroeconomic variables.     

The implications of financial frictions and imperfect knowledge in the estimated DSGE model of the U.S. economy

In this paper, I study how alternative assumptions about expectation formation can modify the implications of financial frictions for the real economy. I incorporate a financial accelerator mechanism into a version of the Smets and Wouters (2007) DSGE framework and explore the properties of the model assuming, on the one hand, complete rationality of expectations and, alternatively, several learning algorithms that differ in terms of the information set used by agents to produce the forecasts. I show that the implications of the financial accelerator for the business cycle may vary depending on the approach to modeling the expectations. The results suggest that the learning scheme based on small forecasting functions is able to amplify the effects of financial frictions relative to the model with Rational Expectations. Specifically, I show that the dynamics of real variables under learning is driven to a significant extent by the time variation of agents’ beliefs about financial sector variables. During periods when agents perceive asset prices as being relatively more persistent, financial shocks lead to more pronounced macroeconomic outcomes. The amplification effect rises as financial frictions become more severe. At the same time, a learning specification in which agents use more information to generate predictions produces very different asset price and investment dynamics. In such a framework, learning cannot significantly alter the real effects of financial frictions implied by the Rational Expectations model.     

Impact of Islamic banking development and major macroeconomic variables on economic growth for Islamic countries: Evidence from panel smooth transition models

This study examines the nonlinear relationship between Islamic banking development, major macroeconomic variables and economic growth in Islamic countries. Using the panel smooth transition model, the results show a positive nonlinear relationship between Islamic banking development and economic growth. Moreover, the relationship between the macroeconomic variables and economic growth is asymmetric and regime-dependent. Further, by using the dynamic panel quantile model, we show that for many cases the Islamic banking variables lead economic growth across the quantiles. More specifically, foreign direct investment, oil production and inflation have a positive impact on economic growth during the normal financial development state, while government consumption, one-lag economic growth, terms of trade and financial development have a negative impact on economic growth for this state. The human capital index, education and the rule of law have an insignificant impact, regardless of the prevailing regime. The results for the separated oil-importing and oil-exporting economies are generally consistent with the combined sample regarding the Islamic banking development variables. As for the macro variables, they have a positive and significant (insignificant) effect on EG for the oil-importing (oil-exporting) economies for almost all models.     

Introducing financial frictions and unemployment into a small open economy model

Which are the main frictions and the driving forces of business cycle dynamics in an open economy? To answer this question we extend the standard new Keynesian model in three dimensions: we incorporate financing frictions for capital, employment frictions for labor and extend the model into a small open economy setting. We estimate the model on Swedish data. Our main results are that (i) a financial shock is pivotal for explaining fluctuations in investment and GDP. (ii) The marginal efficiency of investment shock has negligible importance. (iii) The labor supply shock is unimportant in explaining GDP and no high frequency wage markup shock is needed.     

The macroeconomic effects of uncertainty shocks: The role of the financial channel

This paper studies the macroeconomic effects of uncertainty shocks with an emphasis on the interaction between elevated uncertainty and credit market conditions when the economy is in different regimes (recessions vs. non-recessions). We use a smooth-transition factor-augmented vector autoregression (ST-FAVAR) and a large monthly panel of U.S. macroeconomic and financial indicators in our estimation. Our findings are twofold. First, while an unanticipated increase in uncertainty has adverse effects on the real economy and financial markets, the effects are quantitatively larger during recessions. Second, the financial channel is important in the transmission of uncertainty shocks, with a greater role during recessions and in the short run.     

Nonlinearity in the effects of financial development and financial structure on unemployment

The positive role of the financial sector in promoting economic growth has been well established among academics and practitioners since the early 1990s. However, more recently, there has been increasing evidence pointing to a vanishing, and even negative, effect of financial sectors at high levels of financial depth, particularly since the global financial crisis of 2007?2009. Too much finance could hurt growth. The paper shifts the focus towards labor market outcomes by examining whether too much finance also hurts unemployment. Using a dynamic simultaneous model via system GMM estimation and a panel of 97 OECD and non-OECD countries for the period 1991–2015, we find that the answer depends on the type of finance and the extent of a country’s labor market flexibility. Specifically, (i) too much financial development hurts unemployment for countries with more rigid labor markets; (ii) too bank-centered or too little market-oriented financial systems worsen unemployment, particularly for countries with more flexible labor markets; and (iii) too much credit to private enterprises deteriorates unemployment in countries with more rigid labor markets, whereas too little credit to households worsens unemployment in countries with more flexible labor markets. Evidence also shows that these unemployment consequences possibly run through investment and entrepreneurship channels.     

The macroeconomic impact of economic uncertainty and financial shocks under low and high financial stress

External financial frictions might increase the severity of economic uncertainty shocks. We analyze the impact of aggregate uncertainty and financial condition shocks using a threshold vector autoregressive (TVAR) model with stochastic volatility during distinct US financial stress regimes. We further examine the international spillover of the US financial shock. Our results show that the peak contraction in euro area industrial production due to uncertainty shocks during a financial crisis is nearly-four times larger than the peak contraction during normal times. The US financial shocks have an influential asymmetric spillover effect on the euro area. Furthermore, the estimates reveal that the European Central Bank (ECB) is more cautious in implementing a monetary policy against uncertainty shocks while adopting hawkish monetary policies against financial shocks. In contrast, the Fed adopts a more hawkish monetary policy during heightened uncertainty, whereas it acts more steadily when financial stress rises in the economy.     

Increase of electricity price and energy efficiency: analysis using the macroeconomic interindustry model of Taiwan

From 2012 to 2013, the price of electricity in Taiwan increased by 19.78%. This large increase forced producers to invest in improving electricity efficiency. In this paper, the macroeconomic interindustry model of Taiwan (MEIT) is developed to study the economic effects of high electricity prices and consequential improvement in energy efficiency. MEIT describes the structure of 47 industries, from both real and price-income approaches. To resolve inconsistent data, RAS is employed. A technical model is also integrated to consider technical feasibility, which offsets the usual shortcomings of technological analysis in an economic model. The iron and steel industry is taken as a case study. Estimated results indicate that higher electricity prices negatively affect Taiwan’s economy. However, improving energy efficiency can reduce some of this effect.     

Forecasting China's foreign exchange reserves using dynamic model averaging: The roles of macroeconomic fundamentals,financial stress and economic uncertainty

We develop models for examining possible predictors of growth of China's foreign exchange reserves that embrace Chinese and global trade, financial and risk (uncertainty) factors. Specifically, by comparing with other alternative models, we show that the dynamic model averaging (DMA) and dynamic model selection (DMS) models outperform not only linear models (such as random walk, recursive OLS-AR(1) models, recursive OLS with all predictive variables models) but also the Bayesian model averaging (BMA) model for examining possible predictors of growth of those reserves. The DMS is the best overall across all forecast horizons. While some predictors matter more than others over the forecast horizons, there are few that stand the test of time. The US–China interest rate differential has a superior predictive power among the 13 predictors considered, followed by the nominal effective exchange rate and the interest rate spread for most of the forecast horizons. The relative predictive prowess of the oil and copper prices alternates, depending on the commodity cycles. Policy implications are also provided.     

旅游企业社会责任与财务绩效关系实证研究

企业社会责任与财务绩效间的关系问题在学术界和企业界尚未形成统一结论.文章基于利益相关者理论,结合我国旅游行业上市公司的实际情况,以我国沪深交易所上市的24家旅游企业为对象,选取2007-2013年的财务数据进行相关性分析和面板数据回归分析,研究旅游企业社会责任和财务绩效之间的关系.结果表明:旅游企业社会责任与财务绩效之间存在正相关关系,企业社会责任对财务绩效的影响长期内更显著.     

Technical efficiency of Norwegian banks: The non-parametric approach to efficiency measurement

The nonparametric frontier methodology is applied to a sample of banks, where output levels are measured either by the number of accounts and their average size, or by the total balances of the accounts. The efficiency rankings of individual banks are found to depend substantially on our choice of output metric, whereas the estimated size of potential productivity improvements in the banking sector are less affected. The results on economies of scale are also largely unchanged.The refereeing process of this paper was handled through S. Grosskopf.     

Forecast revisions of Mexican inflation and GDP growth

We analyze the forecasts of inflation and GDP growth contained in the Banco de México’s Survey of Professional Forecasters for the period 1995–2009. The forecasts are for the current and the following year, and comprise an unbalanced three-dimensional panel with multiple individual forecasters, target years, and forecast horizons. The fixed-event nature of the forecasts enables us to examine their efficiency by looking at the revision process. The panel structure allows us to control for aggregate shocks and to construct a measure of the news that impacted expectations in the period under study. We find that respondents anchor to their initial forecasts, updating their revisions smoothly as they receive more information. In addition, they do not seem to use publicly-known information in an efficient manner. These inefficiencies suggest clear areas of opportunity for improving the accuracy of the forecasts, for instance by taking into account the positive autocorrelation found in forecast revisions.     

Systemic risk of Chinese financial institutions and asset price bubbles

Although there has not been a large-scale systemic crisis in China, high-risk financial events have occurred continuously in recent years. This research thus creatively analyzes the determinants of systemic risk for Chinese financial institutions from the view of asset price bubbles. First, we identify bubbles in the China stock and real estate markets on the basis of the generalized sup Augmented Dickey-Fuller (GSADF) model and explain the reasons for bubble formations according to the stage of China's economic development and policies implementation. At this stage, considering the differences in economic development levels of different cities, the real estate bubbles in the first, second and third tier cities and the whole country were innovatively identified. Second, on the basis of the DCG-GARCH-CoVaR model to measure the systemic risk of listed financial institutions in China and to classify institutions, the results show that the main source of such risk is the banking sector. Furthermore, by constructing regression models, stock market bubbles and real estate bubbles both positively correlate with systemic risk throughout the sample period. Meanwhile, the impact of bubbles on the systemic risk of different types of financial institutions was taken into account so that regulators prioritized different types of institutions with different characteristics when faced with decisions. Finally, we provide macro-prudential policy advice to regulators in order to weaken the impact of bubbles on financial stability to avoid systemic crises.     

Farm heterogeneity and technical efficiency: Some results from Swedish dairy farms

This paper introduces farm-heterogeneity in measuring technical efficiency of Swedish dairy farms using farm-level data. In calculating technical efficiency which is allowed to vary over time and across farms, we control for farm-specific effects. This is possible only when panel data is available. Furthermore, we separate technical efficiency from technical change—the presence of which is indicated by a shift in the production function over time,ceteris paribus. We also calculate percentage change in technical efficiency to examine whether farm efficiencies have improved over time. Finally, a comparison of technical efficiency, elasticities of different inputs, and technical change is made across different years and panels. The data includes four panels of dairy farms observed during the period 1976–1988, excluding 1985.We thank two anonymous referees, Anders Klevmarken and Lennart Hjalmarsson for valuable comments. Financial support from SJFR, the Gothenburg Economic School Foundation, Jan Wallender and Tore Browaldh Research Foundations is gratefully acknowledged.     

财务分析模型的数据导入探析

财务分析主要是应用财务报表数据进行汇总、计算、对比、研究、评价企业过去和现在的财务状况、经营成果以及今后发展趋势的一种重要方法。文章以Excel进行财务报告编写、财务分析模型设计为例,探讨了在计算机系统中共享资源的数据导入问题。     

The financial content of inflation risks in the euro area

Recent studies have emphasized that survey-based inflation risk measures are informative about future inflation, and thus are useful for monetary authorities. However, these data are typically only available at a quarterly frequency, whereas monetary policy decisions require a more frequent monitoring of such risks. Using the ECB Survey of Professional Forecasters, we show that high-frequency financial market data have predictive power for the low-frequency survey-based inflation risk indicators observed at the end of a quarter. We rely on MIDAS regressions for handling the problem of mixing data with different frequencies that such an analysis implies. We also illustrate that upside and downside risks react differently to financial indicators.