Economic Implications of European Demographic Change

This article uses a model of the economy where people of different ages interact in financial markets and in the labour market and where governments set taxes to balance receipts against pension spending. The model suggests that demographic changes will have major macroeconomic impacts.     

Measuring the Connectedness of the Global Economy

We develop a technique to exploit forecast error variance decompositions to evaluate the macroeconomic connectedness embedded in any multi-country macroeconomic model with an approximate vector autoregressive (VAR) representation. We apply our technique to a large global VAR model covering 25 countries and derive vivid representations of macroeconomic connectedness. We find that the US exerts a dominant influence in the global economy and that Brazil, China, and the Eurozone are also globally significant. Recursive analysis over the period of the global financial crisis shows that shocks to global equity markets are transmitted rapidly and forcefully to real trade flows and real GDP.     

Financial Intermediaries,Credit Shocks and Business Cycles

We document the cyclical properties of aggregate balance sheet variables of the US commercial banks: (i) Bank credits and deposits are less volatile than output, while net worth and leverage ratio are several times more volatile, (ii) bank credits and net worth are procyclical, while deposits, leverage ratio and loan spread are countercyclical. We then present a real business cycle model with a financial sector to investigate how the dynamics of macroeconomic aggregates and balance sheet variables of the US banks are influenced by empirically disciplined shocks to bank net worth. Both calibrated and estimated versions of the model show that these financial shocks are important not only for explaining the dynamics of financial flows but also for the dynamics of macroeconomic variables. We find that the recent deterioration in aggregate net worth of the US banking sector contributed significantly to the 2007–09 recession.     

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.     

The effects of financial openness and financial efficiency on Chinese macroeconomic volatilities

This paper builds an open-economy DSGE model to study the effects of financial openness and financial efficiency on the macroeconomic volatilities and estimate the model with the Bayesian method and Chinese quarterly data from 2001Q1 to 2017Q4. We further test the validity of model predictions with panel analyses of Chinese provincial data from 1987 to 2016 and various robustness tests. The results show that: first, further financial openness will lead to an increase in output volatility but U-shaped changes in consumption and investment volatilities. Second, financial efficiency improvement helps to reduce the macroeconomic volatilities but has a diminishing marginal benefit. Third, our estimates of China's degree of financial openness and financial efficiency are both at the medium level close to the thresholds. It implies that further financial openness will dramatically increase the macroeconomic volatilities but whether financial efficiency improvement can mitigate instability is uncertain.     

The Role of Financial,Macroeconomic, and Non-financial Information in Bank Loan Default Timing Prediction

We assess the use of bank loan information in predicting the timing to default. We use unique data on defaults in small and medium enterprises maintained by the Central Bank of Portugal which includes financial accounting and macroeconomic indicators, as well as non-financial information. The findings are indicative of the incremental predictive ability of non-financial information over and above macroeconomic and financial accounting information in the baseline, industry, and in- and out-of-sample models. Specifically, total credit secured by firms is, as expected, negatively and significantly related to default. Gross domestic product is negatively and significantly related to default, and benchmark market rate is positively and significantly associated with default. The findings also reveal that firms which are operated by partners, which have stronger financial support from partners, and which possess operational assets exhibit lower hazards of default. The study indicates that non-financial information and macroeconomic indicators assessed alongside financial accounting data can significantly improve the forecasting performance of default 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.     

Nelson–Plosser revisited: The ACF approach

We detect a new stylized fact that is common to the dynamics of all macroeconomic series, including financial aggregates. Their Auto-Correlation Functions (ACFs) share a common four-parameter functional form that arises from the dynamics of a general equilibrium model with heterogeneous firms. We find that, not only does our formula fit the data better than the ACFs that arise from auto-regressive and fractionally-integrated models, but it also yields the correct shape of the ACF, thus explaining the lags with which macroeconomic variables evolve and the onset of seemingly-sudden turning points. This finding puts a premium on quick and decisive macroeconomic policy interventions at the first signs of a turning point, in contrast to gradualist approaches.     

Recent trends in measures to manage capital flows in emerging economies

This paper reviews recent trends in the imposition of capital flow management measures in emerging market economies (EMEs). We find that since the crisis, there has been a shift in the balance of new measures towards net capital inflow reducing measures. However, this is not driven primarily by an increase in inflow tightening measures (e.g. taxes on inflows) relative to pre-crisis periods of inflow surges, but rather by significantly slower inflow liberalization trends (i.e. existing capital controls remaining in place). In addition, there has been a compositional shift in net capital inflow reducing measures: outflow liberalizations were the predominant tools for reducing net capital inflows pre-crisis, but such measures have become less important post-crisis. Overall, the pre-crisis trend towards capital account openness has stalled. The use of capital flow management measures is motivated by macroeconomic as well as financial stability concerns. The IMF recently endorsed use of capital controls as “last resort” measures in macroeconomic management. We also find that by IMF criteria, capital flow measures have not been introduced as a last resort since 2004 – alternative macroeconomic policies to deal with the surge in net capital inflows were available to the majority of countries. Moreover, most capital flow measures introduced by EMEs since 2004 are pure capital controls rather than currency based and/or prudential type measures, suggesting that they were not directly targeted to promote financial stability. However, since the crisis, there has been a small shift towards prudential-type measures.     

Financial distress and bankruptcy prediction: An appropriate model for listed firms in Vietnam

This paper aims to develop a comprehensive model, the first of its kind in Vietnam, for the purpose of predicting financial distress and bankruptcy at Vietnamese listed firms. The period 2003–2016 is used to study the likelihood of financial distress in different scenarios. Various factors are utilized, including (1) accounting factors in the emerging market score model; (2) market factors in the distance-to-default model; and (3) macroeconomic indicators. The area under the receiver operating characteristics (AUC) curve is used to compare the usefulness of various models that predict financial distress and bankruptcy. Empirical findings from this study show that accounting and market factors, together with macroeconomic fundamental factors, both affect financial distress when they are considered in isolation. However, in a comprehensive model, the effects from accounting factors appear to be more significant than those from market-based factors. The default prediction model, which includes accounting factors with macroeconomic indicators, appears to perform much better than the model comprising market-based factors with macroeconomic fundamentals.     

Banks’ risk taking,financial innovation and macroeconomic risk

This paper shows how financial innovation in combination with the fall of macroeconomic risk can explain the strong growth of the primary and secondary credit markets in the U.S. economy. We document empirically the fall in macroeconomic risk, the expansion of the prime and secondary credit market and we provide evidence that changes in macroeconomic risk are closely related to the evolution of the prime market. In the theoretical part of the paper we study in a simple portfolio optimization framework the effect of financial innovation and macroeconomic risk on banks’ risk taking. The results of the model show that financial innovation increases bank appetite for risky investment both in the prime and secondary markets and that this effect is stronger in environments with low aggregate macroeconomic risk. In addition the banking system becomes less stable because of the portfolio risk of each individual bank increases.     

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.     

Stress-testing US bank holding companies: A dynamic panel quantile regression approach

We propose an econometric framework for estimating capital shortfalls of bank holding companies (BHCs) under pre-specified macroeconomic scenarios. To capture the nonlinear dynamics of bank losses and revenues during periods of financial stress, we use a fixed effects quantile autoregressive (FE-QAR) model with exogenous macroeconomic covariates, an approach that delivers a superior out-of-sample forecasting performance relative to the standard linear framework. According to the out-of-sample forecasts, the realized net charge-offs during the 2007–09 crisis fall within the multi-step-ahead density forecasts implied by the FE-QAR model, but are frequently outside the density forecasts generated using the corresponding linear model. This difference reflects the fact that the linear specification substantially underestimates loan losses, especially for real estate loan portfolios. Employing the macroeconomic stress scenario used in CCAR 2012, we use the density forecasts generated by the FE-QAR model to simulate capital shortfalls for a panel of large BHCs. For almost all institutions in the sample, the FE-QAR model generates capital shortfalls that are considerably higher than those implied by its linear counterpart, which suggests that our approach has the potential to detect emerging vulnerabilities in the financial system.     

Commonality,macroeconomic factors and banking profitability

We study banks’ profitability in the US economy by means of dynamic factor models. Our results emphasize the importance of a few common cyclical market factors that greatly determine banking profitability. We conduct exhaustive regressions in a big data set of macroeconomic variables aiming to gain interpretability of our statistical factors. This allows us to identify three main macroeconomic factors underlying banking profitability: the financial burden of households and economic activity; household income and net worth and, in the case of ROA and ROE, stress in financial markets. We also provide an integrated perspective to analyse banks’ profitability dynamically and to inform policymakers concerned with financial stability issues, for which banks’ profitability is fundamental. Our models allow us to provide several rankings of vulnerable financial institutions considering the common market forces that we estimate. We emphasize the usefulness of such an exercise as a market-monitoring tool.     

Foreign banks and short-term macroeconomic fluctuations: Do financial development and regions matter?

In this paper, we investigate the association between bank integration, measured with the share of foreign banks in the banking industry, and macroeconomic volatility in emerging economies. We find a negative and significant relationship between bank integration and short-run fluctuations in output, consumption and investment, controlling for financial development, bank concentration and the real effective exchange rate. However, this relationship is found to be positive at high levels of financial development. We also explore the association at the regional level and show that the presence of foreign banks in Latin America is negatively and significantly correlated with macroeconomic volatility both in normal times and times of crisis. Despite widespread concerns in emerging Europe, which experienced greater financial vulnerability during the global financial crisis, we find no significant association between growth volatilities and bank integration.     

Public infrastructure investment,output dynamics,and balanced budget fiscal rules

We study the dynamic macroeconomic effects of public infrastructure investment under a balanced budget fiscal rule, using an overlapping generations model of a small open economy. The government finances public investment by employing distortionary labor taxes. The balanced budget rule implies a negative short-run output multiplier that exceeds (in absolute terms) the positive long-run output multiplier. Larger public capital spillovers sharpen the intertemporal output tradeoff. In contrast to conventional results regarding public investment shocks, we obtain dampened cyclical responses for plausible parameter values. The cyclical dynamics arise from the interaction between the labor tax rate, the tax base, and the intergenerational spillover effects. We show that financing scenarios involving public debt creation can substantially reduce the short-run output contraction and the transitional macroeconomic fluctuations induced by public investment.     

Macroeconomic and financial stability in a monetary union: The case of Lithuania

In this paper, we study the implications of macroprudential policies in a monetary union for macroeconomic and financial stability. For this purpose, we develop a two-country monetary union new Keynesian general equilibrium model with housing and collateral constraints, to be calibrated for Lithuania and the rest of the euro area. We consider two different scenarios for macroprudential policies: one in which the ECB extends its goals to also include financial stability and a second one in which a national macroprudential authority uses the loan-to-value ratio (LTV) as an instrument. The results show that both rules are effective in making the financial system more stable in both countries, and especially in Lithuania. This is because the financial sector in this country is more sensitive to shocks. We find that an extended Taylor rule is indeed effective in reducing the volatility of credit, but comes with a cost in terms of higher inflation volatility. The simple LTV rule, on the other hand, does not compromise the objective of monetary policy. This reinforces the “Tinbergen principle”, which argues that there should be two different instruments when there are two different policy goals.     

Further evidence on financial information and economic activity forecasts in the United States

Our study provides substantially robust evidence for the predictive power of financial variables in forecasting the business cycle at a further step. We select several interesting and representative financial variables and reveal that they can predict significant information regarding future equity premiums as well as future macroeconomic activity, which are proxied by comprehensive fresh macroeconomic variables. The predictive power remains stable in out-of-sample estimations and can generate profits in an active market-timing trading strategy in excess of the historical mean forecast strategy. Cochrane provides one of the core interpretations for such forecasts in the theoretical asset pricing framework.     

Optimal dividend policy with random interest rates

Several recent papers have studied the impact of macroeconomic shocks on the financial policies of firms. However, they only consider the case where these macroeconomic shocks affect the profitability of firms but not the financial markets conditions. We study the polar case where the profitability of firms is stationary, but interest rates and issuance costs are governed by an exogenous Markov chain. We characterize the optimal dividend policy and show that these two macroeconomic factors have opposing effects: all things being equal, firms distribute more dividends when interest rates are high and less when issuing costs are high.     

Bank capital and the macroeconomy: Policy considerations

We develop a macroeconomic model in which the balance sheet condition of financial institutions plays an important role in the determination of asset prices and economic activity. The financial intermediaries in our model are required to make investment commitments before a complete resolution of idiosyncratic funding risk that can be addressed only by costly refinancing, forcing them to behave in a risk-averse manner. The model shows that the balance sheet condition of intermediaries can drive asset values away from their fundamentals, causing aggregate investment and output to respond to shocks to intermediaries. We use this model to evaluate several public policies designed to address balance sheet problems at financial institutions. With regard to short-run policies, we find that capital injections conditioned upon voluntary recapitalization can be a more effective tool than asset purchases. With regard to long-run policies, we demonstrate that higher capital requirements can have sizable short-run effects on economic activity, and that a long transition period helps avoid undesirable side effects. Finally, we show that the marginal effects of policies can be larger during “crises” because of the nonlinear interactions between some financial frictions and policy actions.