Lending constraints,real estate prices and business cycles in emerging economies

We investigate a small open economy with constraints in both the domestic and the international credit market. The informational opaqueness of the domestic market hinders foreign lenders' activity, so that entrepreneurs face looser borrowing constraints vis-à-vis domestic financiers. However, limited capitalization constrains domestic lenders. Calibrating the model to data from Argentina, we find that the interaction between lending and borrowing constraints is a channel through which real interest rate shocks generate fluctuations in output, real estate prices and consumption. External financial liberalization increases volatility and affects welfare more than domestic liberalization but also mitigates the destabilizing impact of domestic deregulation.     

Financial intermediation and real estate prices impact on business cycles: A Bayesian analysis

How do financial intermediation and real estate prices impinge on the business cycle? I develop a two-sector stochastic general equilibrium model with financial intermediation and real estate collateral to assess the impact of financial conditions and land prices on aggregate fluctuations. I estimate the model with Bayesian methods using a novel data set that includes U.S. macro and financial variables during the period 1975–2010. The results from the estimated model show that financial conditions have a sizable effect on the variability of investment spending, while productivity shocks are the main source of consumption fluctuations. Specifically, on the macro side, (1) financial shocks explain about three quarters of investment spending variability and one third of the variance in hours worked. On the financial side, (2) financial shocks explain most of the variability in land prices, credit spread, and aggregate net worth of the financial sector. The model also accounts for observed unconditional moments of macro and financial variables. Our quantitative results are suggestive of the impact of diverse sources of financial instability, and as such relevant for macro prudential policy analysis.     

Riskiness,endogenous productivity dispersion and business cycles

In the data, cross-sectional productivity dispersion is countercyclical at both the plant level and the firm level, see e.g. Bloom (2009). I incorporate a firm׳s choice of risk level into a model of firm dynamics with real business cycle features to explain this empirical finding both qualitatively and quantitatively. In the model, in every period, each firm chooses the investment amount and the risk level associated with a production project every period. All projects available to each firm have the same expected flow return, determined by the aggregate and idiosyncratic shocks to the firm׳s productivity, and differ from one another only in their risk. The endogenous option of exiting the market and the limited funding for new investment jointly play an important role in motivating firms׳ risk-taking behavior. The model predicts that, in each period, relatively small firms are more likely to take risk and hence exhibit a higher exit rate, and that the cross-sectional productivity dispersion, measured as the standard deviation of the realized individual component of productivity, is larger in recessions.     

The impact of the US on Latin American business cycles: A new approach

Business cycles in Latin America have tended to be more volatile than those in wealthier nations such as the US. Accordingly, much research has been conducted on Latin business cycles, as well as the impact of the US on such fluctuations. Some research seeks to find how “integrated” cycles are in the US and Latin America, yielding conflicting results. We apply a new method to the question of business cycle synchronization between the US and nine Latin nations. We find that in the majority of cases integration has been rising in recent years. We also find, contrary to some previous studies, that integration does not appear to be affected by either the level of trade or of capital account openness. Finally, we find that the two countries that are dollarized – Ecuador and El Salvador – appear least integrated with the US. This last finding has potentially troubling implications in terms of the ability of these nations to adjust to asymmetric shocks vis-à-vis the US.     

Economic uncertainty,oil prices,hedging and U.S. stock returns of the airline industry

This paper examines the impacts of economic policy uncertainty and oil price shocks on stock returns of U.S. airlines using both industry and firm-level data. Our empirical approach considers a structural vector-autoregressive model with variables recognized to be important for airline returns including jet fuel price volatility. Empirical results confirm that oil price increase, economic uncertainty and jet fuel price volatility have significantly adverse effect on real stock returns of airlines both at industry and at firm level. In addition, we also find that hedging future fuel purchase has statistically positive impact on the smaller airlines. Our results suggest policy implications for practitioners, managers of airline industry and commodity investors.     

What do interest rates reveal about the functioning of real business cycle models?

This paper begins by documenting the extent to which the predictions of standard Real Business Cycle (RBC) models are incompatible with observed movements in real interest rates. The main finding of the paper is that extending the baseline model to include habit persistence in consumption and adjustment costs to capital significantly improves the model's empirical performance. In our evaluation of the model's performance, we take special care of estimating and testing predictions of the model using both moments drawn directly from the data and moments calculated after identifying shocks to the stochastic trend.     

Uncertainty shocks,central bank characteristics and business cycles

This paper investigates the conjecture that central bank independence and transparency moderate the negative effect of uncertainty shocks on real output. To test this conjecture, the real GDP growth rate is regressed on the interaction terms between measures of central bank characteristics and the proxy for macroeconomic uncertainty, i.e. stock market volatility. To address potential endogeneity concerns, stock market volatility is instrumented in a Two Stage Least Squares model by plausibly exogenous natural disaster, terrorist attack, political coup and revolution shocks. The estimation results provide strong evidence that central bank independence reduces the adverse effect of uncertainty shocks. There is also evidence for the moderating impact of transparency. However, due to the limited availability of transparency data, the result is less conclusive.     

Credit vs. demand constraints: The determinants of US firm-level investment over the business cycles from 1977 to 2011

The paper studies empirically how relative supply and demand conditions on the capital market affected US firm-level investment over the business cycles from 1977 to 2011. A dynamic econometric specification of capital accumulation including sales growth, Tobin's q, the cash flow-capital ratio and the cost of capital as covariates is fitted by a rolling window System GMM estimator using quarterly data on publicly traded US corporations in order to obtain time-varying coefficients. We find that the investment effects of the variables capturing the demand-side of the capital market, i.e. sales growth and Tobin's q, behave counter-cyclically, whereas this does not hold for the investment effects of supply-side variables such as cash flow or the cost of capital. Our results suggest that investment was typically driven by adverse demand rather than supply conditions on the capital market during the most severe recessions.     

U.S. uncertainty and Asian stock prices: Evidence from the asymmetric NARDL model

When uncertainty reduces spending among U.S. consumers, it may affect the bottom line stock performance of Asian producers that cater to their needs. Theory predicts that the impact of uncertainty will be asymmetrical: during the two phases of the business cycle, countercyclic shocks will outweigh procyclic shocks, resulting in phase-specific equilibrium price adjustments. We conjecture that relative to recessions, recoveries bring larger long-run price adjustments, a response to pent-up growth potential. This is an extension of existing theories, which predict that recoveries bring overshooting, a transient reaction to pent-up demand. We test for these asymmetric uncertainty effects on 11 Asian stock market indices over the 2000M08 – 2017M02 period. Our independent measures include the economic policy uncertainty index (EPU) of Baker, Bloom, and Davis (2016), the Chicago Board Options Exchange implied volatility index (VIX), and the financial uncertainty indicator (JLN) of Jurado, Ng, and Ludvigson (2015). To characterize asymmetry, we employ the nonlinear autoregressive distributed lag (NARDL) model of Shin, Yu, and Greenwood-Nimmo (2014), in which both short- and long-run nonlinearities are captured through positive and negative partial sum decompositions of the explanatory variable(s). Using the NARDL output, we test three hypotheses. The first, that increases in uncertainty (decreases in uncertainty) result in stock price drops (stock price rises), is broadly supported by our analysis. The second, that equilibrium adjustments following negative countercyclic uncertainty shocks exceed those following positive movements, is supported fully by the EPU analysis and partially by the VIX and JLN analyses. The third hypothesis, that recoveries are characterized by overshooting, is consistent only with the behavior of the Chinese stock responses to EPU and VIX shocks. Our results demonstrate the advantages of the NARDL model in characterizing asymmetry. They suggest that while long-run asymmetry is fairly consistent across countries, short-run asymmetry is more country-specific.     

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.     

On the welfare costs of business-cycle fluctuations and economic-growth variation in the 20th century and beyond

The main objective of this paper is to propose a novel setup that allows estimating separately the welfare costs of the uncertainty stemming from business-cycle fluctuations and from economic-growth variation, when the two types of shocks associated with them (respectively, transitory and permanent shocks) hit consumption simultaneously. Separating these welfare costs requires dealing with degenerate bivariate distributions. Levi's Continuity Theorem and the Disintegration Theorem allow us to adequately define the one-dimensional limiting marginal distributions. Under Normality, we show that the parameters of the original marginal distributions are not affected, providing the means for calculating separately the welfare costs of business-cycle fluctuations and of economic-growth variation.Our empirical results show that, if we consider only transitory shocks, the welfare cost of business cycles is much smaller than previously thought. Indeed, we found it to be negative – −0.03% of per-capita consumption! On the other hand, we found that the welfare cost of economic-growth variation is relatively large. Our estimate for reasonable preference-parameter values shows that it is 0.71% of consumption – US$ 208.98 per person, per year.     

International synchronization of the Mexican states business cycles: Explaining factors

The aim of this paper is to identify the explaining factors of the synchronization of the business cycles of the Mexican states and those of the US economy. The cycle indicator is obtained by de-trending the series of total formal employment (Mexican states) and nonfarm employment and industrial production (US). In general, our panel data model estimations suggest the existence of spatial autocorrelation and significant time-period fixed effects. Also, the estimates indicate a significant and positive effect of the ratio of foreign direct investment to gross domestic product (GDP), which may be supplementing the impact of international trade (driven by the most internationally integrated states) and a negative effect of the ratio of remittances to GDP (driven by less integrated states). Finally, the evidence suggests that more similar productive structures yield more synchronized business cycles.     

Search for yield and business cycles

In the ultra-low interest rate environment after the financial crisis, it has been often pointed out that the “search for yield” behavior of financial institutions might have been intensifying interest rate decreases. One hypothesis to explain search for yield is that banks try to buy longer-term bonds even when they recognize negative term premiums in long-term rates because they myopically care about current portfolio income, not just expected holding-period returns. I study the potential impacts of this behavior on U.S. business cycles and long-term bond’s ex-post term premiums. I find that in an economy in which banks are exposed to the value-at-risk constraint, the existence of these myopic banks provides realistic moments of ex-post term premiums. In addition, their existence could generate higher output persistence under a productivity shock compared to an economy without them. This is because the difference between a myopic long-term bond pricing and a realized deposit rate path affects banks’ net worth. I study policy implications, too. In response to changes in the strength of banks’ capital regulation, the existence of myopic banks amplifies business cycles. Regarding monetary policy, it is necessary to consider ex-post term premiums, because ex-post term premiums tend to move in the same direction as the short-term interest rate and amplify business cycles in that direction when myopic banks exist.     

Sentiment and the U.S. business cycle

Psychological factors are commonly believed to play a role on cyclical economic fluctuations, but they are typically omitted from state-of-the-art macroeconomic models.This paper introduces “sentiment” in a medium-scale DSGE model of the U.S. economy and tests the empirical contribution of sentiment shocks to business cycle fluctuations.The assumption of rational expectations is relaxed. The paper exploits, instead, observed data on expectations in the estimation. The observed expectations are assumed to be formed from a near-rational learning model. Agents are endowed with a perceived law of motion that resembles the model solution under rational expectations, but they lack knowledge about the solution’s reduced-form coefficients. They attempt to learn those coefficients over time using available time series at each point in the sample and updating their beliefs through constant-gain learning. In each period, however, they may form expectations that fall above or below those implied by the learning model. These deviations capture excesses of optimism and pessimism, which can be quite persistent and which are defined as sentiment in the model. Different sentiment shocks are identified in the empirical analysis: waves of undue optimism and pessimism may refer to expected future consumption, future investment, or future inflationary pressures.The results show that exogenous variations in sentiment are responsible for a sizable (above forty percent) portion of historical U.S. business cycle fluctuations. Sentiment shocks related to investment decisions, which evoke Keynes’ animal spirits, play the largest role. When the model is estimated imposing the rational expectations hypothesis, instead, the role of structural investment-specific and neutral technology shocks significantly expands to capture the omitted contribution of sentiment.     

News shock,firm dynamics and business cycles: Evidence and theory

The literature of expectation-driven business cycles has overlooked the role played by endogenous entry. This paper documents empirically news shock as a major source of fluctuations in firm dynamics and comovement between firm entry and GDP using structural vector auto-regressions. We then develop a tractable dynamic stochastic general equilibrium model to study the propagation mechanism assuming fixed operating costs for incumbents and decreasing survival rates for entrants. Our quantitative prediction closely matches the positive comovement between firm entries and core macroeconomic indicators upon news shock. These results remain robust at the sectoral level when the baseline model is extended to a two-sector setup.     

A mechanism for booms and busts in housing prices

The paper studies the dynamics of housing prices in a pure exchange overlapping generations framework a la Samuelson (1958) and Gale (1973), which is extended to include housing as a utility-yielding durable good and a credit sector. We completely characterize the equilibrium dynamics, which alternates between an expansive regime where leveraged borrowing increases housing prices, and a contractive regime where these variables decrease. Regime switches occur due to small but persistent income changes giving rise to boom-bust cycles in housing prices. Price deviations from fundamentals are caused by leveraged borrowing, and turn out to be fully welfare-neutral.     

Bank fee-based shocks and the U.S. business cycle

Efficient liquidity matching requires from banks to track external shocks (e.g., GDP growth shocks, stock market shocks and monetary policy shocks) in order to optimally allocate their assets between loans and other business lines. Profit maximizing banks have to rebalance their product-mix to take advantage of these changes. However, even though banking is cyclical, and contemporaneously reacts to shocks outside the banking sphere, there may also be some feedback effects at play, whereby bank changes, in turn, could affect economic and financial conditions. Generalizing the results of Marcucci and Quagliariello (2006, 2009), who indeed find an asymmetric impact of credit shocks on economic and financial time series in recession, we use a similar VAR framework to show that an even stronger feedback effect is prevalent for fee-based shocks. If the feedback effects of credit and fee-based shocks might have been both at play before the subprime crisis, the feedback effect of credit shocks seems to have faded away during the subprime crisis, whereas the feedback effect stemming from fee-based shocks has gained further strength.     

A useful tool for forecasting the Euro-area business cycle phases

Based on a novel extension of existing multivariate Markov-switching models, we provide the reader with a useful tool for analyzing current business conditions and making predictions about the future state of the Euro-area economy in real time. Apart from the Industrial Production Index, we find that the European Commission Industrial Confidence Indicator, which is issued with no delay, is very useful for constructing the real-time predictions.     

Residential investment and house prices in a multi-sector monetary business cycle model

This paper develops a three-sector quantitative dynamic stochastic general equilibrium model to account for some of the salient business cycle properties concerning residential investment and house prices. We depart from the traditional Real Business Cycle setup by incorporating monetary frictions and credit market activities into the model economy. The model generates the high volatility of residential investment and hours worked in the house investment goods producing sector, as well as the procyclicality of house prices. The lead-lag pattern of house investment also roughly conforms with the data. We find that monetary policy and nominal interest rates play a special role in the determination of house prices. Money shocks generate remarkably volatile residential investment and house prices.