The macroeconomic response to real and financial factors,commodity prices,and monetary policy: International evidence

This study estimates a variety of small dynamic factor macro models where the factors are time-varying. The sample consists of 20 economies from around the world. Using quarterly data since the late 1990s, I find that the focus of some policymakers on the negative spillovers from monetary shocks is exaggerated. Four separate types of shocks are identified, and these can easily offset each other with a neutral to positive overall economic impact in some economies investigated here. However, a few economies, namely Brazil, Chile and China, experience a net economic loss from spillovers.     

World,country, and sector factors in international business cycles

Do sector-specific factors common to all countries play an important role in explaining business cycle co-movement? We address this question by analyzing international co-movements of value added (VA) growth in a multi-sector dynamic factor model. The model contains a world factor, country-specific factors, sector-specific factors, and idiosyncratic components. We estimate the model using Bayesian methods for 30 disaggregated sectors in the G7 economies for the 1974–2004 period. Our findings show that, although there is a substantial role for sector-specific factors, fluctuations are dominated by country-factors. The world factor appears to play a minimal role because, when using aggregate data, the world factor captures both the factor common to all countries and industries and the factor common to the same industry across countries. We then examine how these factors evolved as globalization deepened over the past two decades. Our results suggest that business cycles at a disaggregate level have not become more synchronized internationally. This is mainly driven by a substantial fall in the volatility of world shocks during the globalization period, rather than a lower sensitivity of sectoral growth to world factors. Our results also reveal that world factors appear to be more important for industries with a higher level of international vertical integration.     

The determinants of commercial banking profitability in low-, middle-, and high-income countries

Using a broad bank-level dataset and the GMM estimator technique described by Arellano and Bover (1995), this paper analyses how bank-specific characteristics, macroeconomic variables, and industry-specific factors affect the profitability of 10,165 commercial banks across 118 countries over the period from 1998 to 2012. Grouping the countries according to three income levels, we show that the determinants of bank profitability included in our model can explain existing profitability differences among commercial banks in low-, middle-, and high-income countries. The profitability determinants vary quite widely across the different levels of income in terms of significance, sign and size of the effect. The level of income has thus an important impact on the determinants of bank profitability.     

Non-interest income,profitability, and risk in banking industry: A cross-country analysis

Using bank accounting data for 22 countries in Asia over the period 1995–2009, this article applies the dynamic panel generalized method of moments technique to investigate the impacts of non-interest income on profitability and risk for 967 individual banks. We find that non-interest activities of Asian banks reduce risk, but do not increase profitability on a broad sample basis. Specifically, when considering bank specialization and a country's income level, the results become complicated. Non-interest activities decrease profitability as well as increases risk for savings banks. The impact is also different for commercial, cooperative, and investment banks either by increasing profitability or reducing risk. On the other hand, non-interest activities raise risk for banks in high income countries, while increasing profitability or reducing risk for banks in middle and low income countries. Finally, our results reveal that the persistence of risk is greatly affected by bank specialization and a country's income level, as all risk variables present persistence from one year to the next. Our findings suggest that the type of bank specialization matters for the effect of diversifying revenue sources.     

Financial information and macroeconomic forecasts

We study the forecasting power of financial variables for macroeconomic variables in 62 countries between 1980 and 2013. We find that financial variables such as credit growth, stock prices, and house prices have considerable predictive power for macroeconomic variables at the one- to four-quarter horizons. A forecasting model that includes financial variables outperforms the World Economic Outlook (WEO) forecasts in up to 85% of our sample countries at the four-quarter horizon. We also find that cross-country panel models produce more accurate out-of-sample forecasts than individual country models.     

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.     

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.     

Public banking and economic growth: The experiences of 10 countries since the 1950s until 2017

Despite the limited number of empirical works assessing the implications of public banks for economic growth, a wave of these institutions has arisen since 2000. With this in mind, this paper investigates the linkage between these banks and long-run growth in 10 countries. We find discouraging evidence on the role of these institutions in the growth process as public banks contributed to long-run economic growth in only two countries. More precisely, the public bank raised the gross domestic product in the Dominican Republic and investment in Singapore. In the remaining eight countries, long-run growth was harmed, or we did not find a long-run nexus running from the public bank. This is particularly surprising because some public banks in our sample have a long history of proper management and were given an important role in their country's development. We find long-run reverse causality in five countries, and, in all of them but in one, a larger gross domestic product per capita expanded public banks’ assets. Therefore, public banks were following the economic cycle. Considering all this, governments that aim to accelerate economic growth should be more cautious about the creation or promotion of these entities.     

Bank competition,financial development and macroeconomic stability: Empirical evidence from emerging economies

In this study, we investigate the potential contribution of bank competition to macroeconomic stability, and the interactive role of financial development. We classify macroeconomic stability into economic and financial stability. Economic stability is represented by the volatility of actual and unexpected output growth, whereas financial stability is assessed by the aggregate Z-score and volatility of the private credit-to-gross domestic product ratio. We employ two structural and two non-structural measures of bank competition in our analysis. Applying a two-step dynamic panel system (GMM) to macroeconomic data from 48 developing nations from 1999 to 2018, we find a bell-shaped relationship between bank competition and macroeconomic stability. The findings imply that a higher level of bank competition promotes macroeconomic stability by reducing output growth volatility, fluctuations in private credit, and the probability of bank default. There is an optimal level of bank competition beyond which it may foster economic and financial instability. Moreover, financial development enhances bank competition’s positive impact on macroeconomic stability.     

The Credit View, Old and New

Recent writings in the so-called 'credit view' focus on binding finance constraints of macroeconomic activity which arise from the incomplete substitutability of bank credit and from changes in borrowers' net worth. They criticize the standard approaches in the 'money view' for not taking full account of the observable effects of monetary restrictions on real activity. In this paper, the 'new credit view' is contrasted with older macroeconomic theories that placed special emphasis on the banks' systemic potential to expand credit beyond planned saving. The comparative discussion of the underlying arguments about bank behaviour, about the non-neutrality of credit money, and about the transmission of monetary policy impulses reveals some shortcomings in the new view. History helps, moreover, to set the conventional confrontations of the 'credit view' and the 'money view' in perspective. JEL-classification: B22, E32, E44, E51, E52     

Impact of investor’s varying risk aversion on the dynamics of asset price fluctuations

While investors’ responses to price changes and their price forecast have been identified as one of the major factors contributing to large price fluctuations in financial markets, our study shows that investors’ heterogeneous and dynamic risk aversion (DRA) preferences may play a more critical role in understanding the dynamics of asset price fluctuations. We allow an agent specific and time-dependent risk aversion index in a popular power utility function with constant relative risk aversion to construct our DRA model in which we made two key contributions. We developed an approximated closed-form price setting equation, providing a necessary framework for exploring the impact of various agents’ behaviors on the price dynamics. The dynamics of each agent’s risk aversion index is modeled by a bounded random walk with a constant variance, and such dynamics is incorporated in the price formula to form our DRA model. We show numerically that our model reproduces most of the “stylized” facts observed in the real data, suggesting that dynamic risk aversion is an important mechanism for understanding the dynamics of the financial market and the resultant financial time series.     

Liquidity indicators,early warning signals in banks,and financial crises

This research compares the performance of three liquidity indicators, namely liquidity ratio (LiqR), liquidity creation (LiqC) and net stable funding difference (NSFD), for sending early warning signals for distressed banks. Recent evidence has shown that LiqR appears incapable of measuring the liquidity condition of banks. However, LiqC and NSFD have not yet been fully examined. Thus, which indicator is more useful in an early warning model becomes an interesting issue. We classify distressed banks as banks that have experienced a bank run, bailout, or failure. Sample data are collected from the United States and the European Union from before and after the financial crisis. We then estimate model predictive value using the sample before the crisis to predict liquidity shortages. Evidence shows that the academic (LiqC) and officially recommended indicators (NSFD) outperform LiqR as early warning signals. Furthermore, LiqC performs best when banks actively engage in income diversification but not fund diversification. Therefore, a well income-diversified bank with high LiqC tends to have high distress probability in the next period.     

Corporate bond market interdependence: Credit spread correlation between and within U.S. and Canadian corporate bond markets

This study investigates the correlation and interdependence between and within the U.S. and Canadian corporate bond markets. The empirical framework adopted allows credit spreads to depend on common systematic risk factors derived from structural models and incorporates dynamic conditional correlations (DCC) between spreads. Results show that there is a surprisingly weak correlation between the two markets in normal times. However, during crises, there is a sudden and strong increase in the correlation between U.S. and Canadian credit spreads. The analysis of credit spread correlation within each market also shows an unusual increase in credit spread correlations between sectors and between risk classes in the U.S. during the 2007–2009 global financial crisis. This increase persists over the post-crisis period. By contrast, in Canada, credit spread correlations between sectors remain remarkably stable over time, suggesting an interdependence of credit spreads within the Canadian market.     

Bank competition,concentration and financial stability in the Turkish banking industry

This paper analyzes the impact of competition and concentration on bank stability in the Turkish banking industry over the period 2002–2012. The Boone indicator and the efficiency-adjusted Lerner index are used as proxies for competition, while the non-performing loans (NPL) ratio and Z-scores are used as proxies for bank stability. The main results indicate that competition is negatively related to the NPL ratio but positively related to the Z-score. The results further indicate that greater concentration has a positive impact on the NPL and a negative impact on the Z-score. We also use a quadratic term of the competition measures to capture a possible non-linear relationship between competition and stability. The results show that the coefficient of the quadratic term is negative for the NPL model and positive for the Z-score model. Overall, our findings provide support for the competition-fragility view.     

Heterogeneous expectations,boom-bust housing cycles,and supply conditions: A nonlinear economic dynamics approach

We combine a standard stock-flow housing market model, incorporating explicit relationships between house prices, the housing stock, and the rent level, with a parsimonious expectation formation scheme of housing market investors, reflecting an evolving mix of extrapolative and regressive expectation rules. The model results in a two-dimensional discrete-time nonlinear dynamical system. Based on realistic parameters, the model is able to generate endogenous boom-bust housing market dynamics with lasting periods of overvaluation and overbuilding. We thus exploit our model to investigate how real forces, in particular supply conditions, interact with expectations-driven housing market fluctuations.     

Environmental Responsibility and Firm Performance: The Application of an Environmental,Social and Governance Model

This paper investigates the way in which environmental responsibility impacts on corporate financial performance, measured by return on equity (ROE) and return on assets (ROA). Using a sample of Korean firms covering the period 2011–2012, and employing two different test methods, namely the OLS and 2SLS methods, we show that the relationships between environmental responsibility performance and firms’ ROE and ROA are positive and statistically significant. However, we show that research and development (R&D) intensity (expenditure) does not affect either environmental responsibility or corporate financial performance. The results of this analysis encourage further empirical analysis of the industries, as well as the use of more than one estimation method to determine environmental responsibility and corporate financial performance within firms. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment     

Pressure of Competition to Listed Companies in Commodity Market and Selection of Financial Leverage

As revealed by some competition of commodities supplied foreign experts, the financial leverage has an impact on the market by different listed companies, and low financial leverage implies a competitive edge but high financial leverage is liable to fail in business operation. Viewing from such an angle, the low financial leverage is in fact a conservative financial behavior, which means a reasonable selection. Generally, Chinese listed companies prefer financing from offering equity shares, which is regarded as a reasonable selection weighing both gains and risks. However, based on an analysis of the pressure of market competition to the listed companies of various industries and how they select their own fit/ancial leverage, it is found that there is an extremely unmatched phenomenon in China＇s capital market, i.e., the keener the commodity market competition is, the higher the financial leverage of listed companies will be. Therefore, the over-financing from offering equity shares is coexisting with under-financing from offering equity shares in China＇s capital market at present, and both lead listed companies to low efficiency.     

Prices,debt and market structure in an agent-based model of the financial market

We develop an agent-based model in which heterogeneous and boundedly rational agents interact by trading a risky asset at an endogenously set price. Agents are endowed with balance sheets comprising the risky asset as well as cash on the asset side and equity capital as well as debt on the liabilities side. A number of findings emerge when simulating the model: we find that the empirically observable log-normal distribution of bank balance sheet size naturally emerges and that higher levels of leverage lead to a greater inequality among agents. Furthermore, greater leverage increases the frequency of bankruptcies and systemic events. Credit frictions, which we define as the stickiness of debt adjustments, are able to explain a key difference in the relation between leverage and assets observed for different bank types. Lowering credit frictions leads to an increasingly procyclical behavior of leverage, which is typical for investment banks. Nevertheless, the impact of credit frictions on the fragility of the model financial system is complex. Lower frictions do increase the stability of the system most of the time, while systemic events become more probable. In particular, we observe an increasing frequency of severe liquidity crises that can lead to the collapse of the entire model financial system.     

Oil structural shocks,bank-level characteristics,and systemic risk: Evidence from dual banking systems

By performing a structural VAR analysis on oil price shocks, we provide an evidence on how the origins of oil price shocks impact the risk level of banks in oil-exporting countries and whether bank-level characteristics can influence the sensitivity of risk to oil shocks. When conducting panel regression analysis, we document the following findings. First, not all shocks have the same effect on bank risk. Due to oil supply shocks, the increase in oil price raises bank risk, whereas the similar increase in price due to economic expansion or oil-market specific demand reduces that risk. Second, the business model (whether the bank is Islamic or conventional), size, income diversification, profitability, and financial leverage influence the bank risk exposure to oil shocks differently. Third, the two major recent crises (global financial crises and COVID-19 pandemic) magnified bank risk exposure to oil supply shocks and speculative oil demand shocks. Overall, the structural oil shocks explain a large fraction of the variation in financial stability in GCC countries.