How Important are Financial Frictions in the United States and the Euro Area?

This paper aims to evaluate whether frictions in credit markets are important for business cycles in the United States and the euro area. I modify the DSGE financial accelerator model developed by Bernanke, Gertler and Gilchrist (1999) by adding such frictions as price indexation to past inflation, sticky wages, consumption habits and variable capital utilization. When estimating the model using Bayesian methods, I find that financial frictions are relevant in both areas. According to the posterior odds ratio, the data clearly favor the model with financial frictions, both in the United States and the euro area. Moreover, financial frictions are larger in the euro area.     

The propagation of U.S. shocks to Canada: Understanding the role of real financial linkages

This paper examines the role of financial frictions in affecting the transmission of U.S. real and financial shocks to Canada using a dynamic stochastic general‐equilibrium model with an active banking sector and financial frictions. We find that the U.S. banking and interbank markets can be a potentially important source of variability of Canadian output and inflation—consistent with the financial crisis. The presence of both the demand and the real supply sides of credit in the model help to capture the stylized facts of both the domestic and the international business cycles.     

Emerging economy business cycles: Interest rate shocks vs trend shocks

The recent literature studying the source of business cycles in emerging market economies (EMEs) has debated the relative importance of productivity trend shocks versus interest rate shocks coupled with financial frictions. The studies in which an important role is assigned to interest rate shocks do not force their models to match the historical paths of the world or country interest rate. We show that this leads to poorly identified interest rate shocks and inaccurate measures of contributions of shocks to EME business cycles. To address this issue, we estimate a small open economy model for Argentina and Mexico using Bayesian methods where the world and country interest rate series in the model are forced to match their data counterparts. This estimation strategy results in larger variations in interest rate shock and, therefore, shifts explanatory power away from trend shocks towards interest rate shocks, although both shocks remain important.     

Can cross-listing relax financial frictions in trade and equity holdings? A sector-level analysis

Previous studies have documented the positive mutual relationship between bilateral aggregate goods trade and asset holdings. This article examines whether financial frictions play an important role in this mutual relationship. Instrumental variable Poisson pseudo maximum likelihood (IV-PPML) estimation method is applied to a new panel of data on US imports and foreign equity holdings in 20 manufacturing sectors from 43 countries over the period 2001–2007. The results confirm the significantly positive relationship between goods trade and equity holdings, and show that financial frictions are an important factor causing this positive correlation. In addition, we find that equity cross-listings in the US stock markets provide external funds to relax financial frictions and promote goods trade. This impact varies with different measures of financial frictions in developing and developed countries.     

The Role of Productivity and Financial Frictions in the Business Cycles of a Small Open Economy: Hong Kong 1984–2011

This paper analyzes the business cycle properties of the Hong Kong economy during the 1984–2011 period, which includes the financial crisis experienced in 1997/98 and the economic crisis of 2008–2010. We show that the volatility respectively, of output, of the growth rate of output and of real interest rates in Hong Kong are higher than the corresponding average volatility among developed economies. Furthermore, interest rates are countercyclical. We build a stochastic neoclassical small open‐economy model estimated with a Bayesian likelihood approach that seeks to replicate the main business cycle characteristics of Hong Kong, and through which we try to quantify the role played by exogenous total factor productivity (TFP) shocks (transitory and permanent), real interest rate shocks and financial frictions. The main finding is that financial frictions, jointly with the assumption that the country spread is endogenous, seem important in explaining the countercyclicality of the real interest rates.     

Financial market participation and the developing country business cycle

I explore the implications of limited participation in financial markets on a standard small open economy business cycle model. Despite its parsimony, the limited participation model developed in this paper improves over the standard model in terms of explaining two important features of business cycle facts of developing countries: high volatility of consumption, and high negative correlation between the trade balance and output. Limited participation model is then used to inspect the effects of financial development and integration on macroeconomic volatility. Under a standard calibration, limited participation model leads to the conclusion that financial development and integration are associated with higher investment and output volatility. Effect of more participation on consumption volatility is dependent on the specification of the risk premium function.     

Imperfect financial integration and asymmetric information: competing explanations of the home bias puzzle?

Abstract This paper shows that imperfect financial integration and informational asymmetries are not competing theories but rather complementary ideas to a single explanation of the home bias puzzle. We develop a rational expectations model of asset prices with investors that face informational constraints and find that informational advantages arise endogenously as a response to small financial frictions. We also present empirical evidence that (i) international financial frictions are correlated to observed patterns of US investors’ attention and that (ii) the attention US investors allocate to foreign stocks helps explain home bias towards those countries, even after controlling for financial integration levels.     

Portfolio choice of financial investors and European business cycle convergence: a panel analysis for EU countries

We investigate the linkage between business cycle convergence and financial portfolio choice for a panel of 18 EU countries. We construct an index of similarity of financial portfolios which we then put into context with the view that “the financial world” has an impact on business cycles and contributes to business cycle convergence via the consumption-wealth linkage. The model which guides our analysis is the International Asset Pricing Model (IAPM). Portfolios of the 18 EU countries investigated by us turn out to become more similar over time. According to our fixed effects GMM TSLS estimations, similar portfolios contribute to a convergence of business cycles—via a convergence of consumption cycles. This turns out to be especially true for country-pairs that include euro area non-member countries and, thus, have quite different income and wealth structures.     

Consumption response to investment shocks under financial frictions

Consumption falls counter-factually on impact for investment-specific technology shocks, which, recent literature suggests, are important drivers of business cycles. Introducing financial frictions and variable capacity utilization to the standard New-Keynesian setup can overturn this co-movement problem, without imposing restrictions on wealth effects, or wage rigidities.     

Financial market frictions in a model of the Euro area

We build a model of the euro area incorporating financial market frictions at the level of firms and households. Entrepreneurs borrow from financial intermediaries in order to purchase business capital, in the spirit of the “financial accelerator” literature. We also introduce two types of households that differ in their degree of time preference. All households have preferences for housing services. The impatient households are faced with a collateral constraint that is a function of the value of their housing stock. Our aim is to provide a unified framework for policy analysis that emphasises financial market frictions alongside the more traditional model channels. The model is estimated by Bayesian methods using euro area aggregate data and model properties are illustrated with simulation and conditional variance and historical shock decomposition.     

Sources of business fluctuations: Financial or technology shocks?

Despite the widespread belief that technology shocks are the main source of business fluctuations, recent empirical studies indicate that in the absence of financial frictions, a shock to the marginal efficiency of investment is the main source and is closely related to financial conditions for investment. We incorporate a financial accelerator mechanism and two types of financial shocks to the external finance premium and net worth in a dynamic stochastic general equilibrium model with shocks to the marginal efficiency of investment, the investment-good price markup, and the rates of neutral and investment-specific technological changes. This model is estimated using eleven US time series that include data on loan, net worth, the loan rate, and the relative price of investment. Our estimation results show that the (non-stationary) neutral and investment-specific technology shocks primarily drive output and investment fluctuations, while the external finance premium shock plays an important role for investment fluctuations. This financial shock induced substantial falls and subsequent sharp hikes in the external finance premium and caused boom–bust cycles over the past two decades.     

The composition of capital inflows when emerging market firms face financing constraints

The composition of capital inflows to emerging market economies tends to follow a predictable dynamic pattern across the business cycle. In most emerging market economies, total inflows are pro-cyclical, with debt and portfolio equity flowing in first, followed later in the expansion by foreign direct investment (FDI). To understand the dynamic composition of these flows, we use a small open economy (SOE) framework to model the composition of capital inflows as the equilibrium outcome of emerging market firms' financing decisions. We show how costly external financing and FDI search costs generate a state contingent cost of financing such that the cheapest source of financing depends on the phase of the business cycle. In this manner, the financial frictions are able to explain the interaction between the types of flows and deliver a time-varying composition of flows, as well as other standard features of emerging market business cycles. If, as this work suggests, flows are an equilibrium outcome of firms' financing decisions, then volatility of capital inflows is not necessarily bad for an economy. Furthermore, using capital controls to shut down one type of flow and encourage another is certain to have both short- and long-run welfare implications.     

How Large Is the Cost of Business Cycles in Developing Countries?

This study measures the cost of business cycles in developing countries. The business‐cycle component of consumption is extracted by employing a detrending filter adjusted for the length of a subject country's business cycles, rather than a standard detrending filter, and the cost of business cycles using the extracted component is extracted. Estimated costs in developing countries based on the adjusted filter are found to be significantly different from those based on the standard filter. Hence, in measuring the costs of business cycles in developing countries, we should be careful about the choice of a detrending filter. The results also indicate the following findings: 1) in developing countries, there is probably more room to improve the cost of non‐business‐cycle fluctuations than that of business‐cycle fluctuations, and 2) the cost of business cycles is not strikingly large, even when it is estimated from a model strongly disfavoring business cycles.     

Staggered wages,financial frictions,and the international comovement problem

Standard international real business cycle models often generate negative cross-country correlations in labor and investment. The data, however, display positive correlations. This paper studies the effect of real wage rigidity and financial frictions on international comovement. We find that staggered wages mainly improve the cross-country correlation of labor, while financial frictions improve investment comovement. However, each friction alone cannot account for the magnitude of international correlations of either variable. When the two imperfections are introduced together, the effect of each friction endogenously reinforces the other and the model generates realistic correlations in both variables.     

Trade,finance or policies: What drives the cross-border spill-over of business cycles?

In this paper we investigate how income growth rates in one country are affected by growth rates in partner countries, testing for the importance of pairwise country links as well as characteristics of the receiving country (trade and financial openness, exchange rate regime, fiscal variables). We find that trade integration fosters the spill-over of business cycles, both bilaterally and as a country characteristic (trade openness). Results for financial integration are mixed; financial links as pairwise country characteristic are either insignificant or negatively signed (indicating a dampening of cross country spill-overs), but financial openness as characteristic of the receiving country amplifies spill-overs. We find no evidence for a role of the exchange rate regime. Finally, we find that higher government spending and debt reduces countries’ vulnerability to foreign business cycles, presumably through the effect of automatic stabilizers.     

Determinants of international transmission of business cycles to Turkish economy

This study aims to investigate the channels through which international business cycles are transmitted to Turkish economy. Our analysis follows two steps: i) business cycle transmission is measured using Longest Common Subsequence (LCS) method, a pattern recognition algorithm that accounts for the nonlinear and time-varying nature of business cycles and ii) the potential mechanisms of propagation of international business cycles are examined by specifying a panel regression model in which the LCS measure of synchronization is used as the dependent variable. Applying several panel estimation methods to the bilateral data from 22 countries over the 1998–2009 periods, we find that both trade and financial similarities are significant in the transmission of business cycles to Turkish economy. Especially, the results highlight the role of trade integration indicating that Turkish business cycles are closely linked with the business cycles of the members of European Custom Union.     

Macroeconomic changes and mortality in Mexico

While previous studies examine how the business cycle affects mortality in developed countries, less is known about this relationship in developing countries. In this paper, we investigate whether the procyclical nature of mortality in developed countries found by Ruhm (Q J Econ 115(2):617–650, 2000) and others is also present in Mexico. We assemble a unique panel data set that contains state-level data on mortality rates by age and cause of death, GDP per capita, and socioeconomic status. We find that for Mexico total mortality rates are procyclical, with the largest impact on those aged 20–49. While these findings are similar to those in Ruhm (Q J Econ 115(2):617–650, 2000), the effects of business cycles on mortality rates differ for several specific causes of death. These results suggest that whereas total mortality may be procyclical in both developed and developing countries, significant differences may exist for some causes of death.     

Trade Frictions and Market Access of Developing Countries: A Product‐level Empirical Investigation

This paper examines the effects of trade frictions on export market access at the product level and the role these frictions have on the ability of developing countries to access world markets. We find distance and trade frictions are determinants of the probability of success in entering foreign markets. We examine whether there are any systematic biases from these frictions that further limit market access for exporters from developing countries. Our results suggest that developing countries are not differentially impacted by these factors.     

Country Size and Economic Fluctuations

This paper investigates the character of business cycles across large and small economies. Empirically, G-7 countries have less volatile investment, consumption, and trade balance ratios, higher correlations between domestic sacing and investment rates, and about the same correlation of the trade-balance ratio and investment ratio as 68 smaller countries. These observations are consistent with a standard one-sector two-country general equilibrium model in which the only source of heterogeneity is country size. Since many developing countries are small, these findings suggest that even absent differences in markets and instutitions, economic fluctuations would be more severe in developing countries.     

Business Cycles Between Developed and Developing Economies

This paper compares the stylized facts of international real business cycles between developed and developing countries. A two-sector two-country real business cycles model is constructed to examine the cyclical behaviors of domestic as well as international macroeconomic variables, and to evaluate the model's consistency with empirical observations. The model predicts correctly that consumption, investment, and saving are procyclical, while the trading balance/output ratio is countercyclical. There exist, however, some discrepancies between the model and the data.