Learning asymmetries in real business cycles

When a boom ends, the downturn is generally sharp and short. When growth resumes, the boom is more gradual. Our explanation rests on learning about productivity. When agents believe productivity is high, they work, invest, and produce more. More production generates higher precision information. When the boom ends, precise estimates of the slowdown prompt decisive reactions: investment and labor fall sharply. When growth resumes, low production yields noisy estimates of recovery. Noise impedes learning, slows recovery, and makes booms more gradual than downturns. A calibrated model generates growth rate asymmetry similar to macroeconomic aggregates. Fluctuations in agents’ forecast precision match observed countercyclical errors of forecasters.“There is, however, another characteristic of what we call the trade cycle that our explanation must cover; namely, the phenomenon of the crisis—the fact that the substitution of a downward for an upward tendency often takes place suddenly and violently, whereas there is, as a rule, no such sharp turning point when an upward is substituted for a downward tendency.” J.M. Keynes (1936)     

Earnings management and accrual anomaly across market states and business cycles

This paper examines if the conditioning on market states is important to earnings management behaviors and profitability of accrual hedge strategy. This paper discusses four findings. First, accrual profits are consistently positive across both market states and significantly higher in DOWN markets. Second, while earnings management exists in both market states, the management effort is less effective and short-lived in the DOWN state. Third, this paper finds that the accrual effect exists but varies across industries. Finally, this paper examines how business cycles associate with accrual anomaly and show that accruals mispricing cannot be fully captured by macroeconomic model predicted returns.     

What inventory behavior tells us about how business cycles have changed

Beginning in the mid-1980s, U.S. business cycles changed in important ways, notably via distinctive shifts in the comovement and relative volatilities of labor productivity, hours, output, and inventories. Inventories provide additional information relative to aggregate investment regarding firms׳ intertemporal decisions, and thus additional insight in explaining business cycles. We show that variations in the discount factor estimated using inventories, which may be interpreted as fluctuations in a generalized investment wedge, play a key role in explaining the shifts in U.S. business cycles observed after the mid-1980s. Moreover, these variations correlate well with independent measures of credit market frictions.     

International business cycles: What are the facts?

Modern business cycle theory involves developing models that explain stylized facts. For this strategy to be successful, these facts should be well established. In this paper, we focus on the stylized facts of international business cycles. We use the generalized method of moments and quarterly data from twenty industrialized countries to estimate and test hypotheses concerning pairwise cross-country correlations of macroeconomic aggregates. A remarkable common feature emerges: these correlations are mostly positive, not very high and of a similar order of magnitude. The most important discrepancy with the theory is the low cross-country correlation of consumption.     

Asymmetric business cycles: Theory and time-series evidence

We offer a theory of economic fluctuations based on intertemporal increasing returns: agents who have been active in the past face lower costs of action today. This specification explains the observed persistence in individual and aggregate output fluctuations even in the presence of i.i.d shocks because individuals respond to the same shock differently depending on their recent past experience. The exact process for output, the sharpness of turning points and the degree of asymmetry are determined by the form of heterogeneity. Our general formulation, under certain assumptions, reduces to a number of popular state space (unobserved components) models. We find that on US data our general formulation performs better than many of the existing econometric models, largely because it allows sharper downturns and more pronounced asymmetries than linear models, and is smoother than discrete regime shift models. Our estimates imply that only modest intertemporal returns are needed for our model to explain US GNP, and that heterogeneity across agents plays an important role in the propagation of business cycle shocks.     

News shocks and business cycles

This paper proposes and implements a novel structural VAR approach to the identification of news shocks about future technology. The news shock is identified as the shock orthogonal to the innovation in current utilization-adjusted TFP that best explains variation in future TFP. A favorable news shock leads to an increase in consumption and decreases in output, hours, and investment on impact - more suggestive of standard DSGE models than of recent extensions designed to generate news-driven business cycles. Though news shocks account for a significant fraction of output fluctuations at medium frequencies, they contribute little to our understanding of recessions.     

Capital structure and business cycles

This study investigates the relationship between business cycles and capital structure. Specifically, it extends the work of Lemmon et al. (2008) , by incorporating the effect of four different stages of the business cycle – peak, contraction, trough and expansion – on the relative importance of the unobserved permanent component of the capital structure. Results indicate that business cycles play an important role in explaining the unobserved permanent component of leverage ratios after controlling for firm fixed effects. In particular, the model becomes much stronger in explaining the variation in leverage ratios after accounting for business cycle phases.     

Finance and international business cycles

Business cycles are more correlated among countries that have similar financial structures. We first document this empirical regularity using OECD data, and then build a two-country DSGE model with financial frictions that replicates it. Alternative monetary policy regimes and parameter values are explored. Output co-movements increase when the countries involved are linked by a credible exchange rate peg and when they open up to trade; they decrease when their financial openness increases. The model also accounts for a number of stylized facts of international business cycles, such as the positive international correlation of output, investment and employment.     

Investment shocks and business cycles

The origins of business cycles are still controversial among macroeconomists. This paper contributes to this debate by studying the driving forces of fluctuations in an estimated new neoclassical synthesis model of the U.S. economy. In this model, most of the variability of output and hours at business cycle frequencies is due to shocks to the marginal efficiency of investment. Imperfect competition and, to a lesser extent, technological frictions are the key to their transmission. Although labor supply shocks explain a large fraction of the fluctuations in hours at very low frequencies, they are irrelevant over the business cycle. This finding is important because the microfoundations of these disturbances are widely regarded as unappealing.     

Endogenous housing market cycles

Housing markets tend to display positive serial correlation as well as considerable volatility over time. We present a heterogeneous agent model illustrating the connection between adaptive expectations and housing market fluctuations. A dwelling serves as a shelter, as a vehicle for investment and as mortgage collateral. Interesting dynamics arise as the valuation of these three properties changes over time through the interaction of buyers, sellers and mortgagees. In the absence of credit constraints imposed by mortgagees, house prices oscillate mildly around the equilibrium price. However, credit constraints imposed by mortgagees can affect market dynamics quite dramatically with periods of mild oscillations interrupted by violent collapses. This chaotic behavior arises even though buyers, sellers and mortgagees agree on market forecasts.     

Immigration,remittances and business cycles

Using data on border enforcement and macroeconomic indicators from the U.S. and Mexico, we estimate a two-country business cycle model of labor migration and remittances. The model matches the cyclical dynamics of unskilled migration, and documents the insurance role of remittances in consumption smoothing. Over the cycle, immigration increases with the expected stream of future wage gains, but it is dampened by a sunk emigration cost. Migration barriers slow the adjustment of the stock of immigrant labor, enhancing the volatility of unskilled wages and remittances. Changes in border enforcement have asymmetric welfare implications for the skilled and unskilled households.     

Gold rush fever in business cycles

A flexible price model of the business cycle is proposed, in which fluctuations are driven primarily by inefficient movements in investment around a stochastic trend. A boom in the model arises when investors rush to exploit new market opportunities even though the resulting investments simply crowd out the value of previous investments. A metaphor for such profit driven fluctuations are gold rushes, as they are periods of economic boom associated with expenditures aimed at securing claims near new found veins of gold. An attractive feature of the model is its capacity to provide a simple structural interpretation to the properties of a standard consumption and output Vector Autoregression.     

Inattentive consumers and international business cycles

This paper presents and studies the properties of a sticky information exchange rate model where consumers and producers update their information sets infrequently. Introducing inattentive consumers has important implications. Through a mechanism resembling the limited participation models, exchange rate volatility observed in the data can be addressed for reasonable values of risk aversion. The model generates more persistence in output, consumption and employment which brings us closer to the data. Impulse responses to monetary shocks are hump shaped, consistent with the empirical evidence. Forecast errors of inattentive consumers provide a channel to reduce the correlation of relative consumption and real exchange rate. The decline in the correlation is quantitatively small for our benchmark model. Model generates a substantial amount of consumer forecast errors when producers are attentive and productivity shocks are persistent. This specification results in a large decline of the correlation of real exchange rate and relative consumption due to consumer inattentiveness. When trade elasticity is set to values at the low end of macro estimates or at higher values consistent with sectoral estimates, the correlation is in the negative territory with inattentive consumers.     

Liquidity,assets and business cycles

The objective here is to evaluate the quantitative importance of financial frictions in business cycles. The analysis shows that a negative financial shock can cause aggregate investment, employment and consumption to fall with output. Despite this realistic comovement among macro quantities, a negative financial shock generates an equity price boom as the shock tightens firms׳ financing constraint. This counterfactual response of the equity price is robust to a wide range of variations in how financial frictions are modeled and whether financial shocks affect asset liquidity or firms׳ collateral constraints. Some possible resolutions to this puzzle are discussed.     

Correlations,business cycles and integration

Correlations and the integration of capital markets impact upon portfolio diversification. The key research question addressed in this paper is whether and to what extent business cycles and financial deregulation affect correlations and integration between the Australian and US markets. In summary, four major themes can be detected in our findings. First, correlations between the Australian and US markets are at their highest when the US is in a contractionary phase. Secondly, we are more likely to conclude that the markets are integrated in the expansionary phase of business cycles. Thirdly, we are more likely to conclude that the markets are segmented in the contractionary phase of the business cycles. Finally, we are more likely to conclude that markets are segmented prior to deregulation and integrated in the post financial deregulation period.     

Emerging market exchange rate exposure

We estimate the exposure of emerging market companies to fluctuations in their domestic exchange rates. We use an instrumental-variable approach that identifies the total exposure of a company to exchange rate movements, yet abstracts from the influence of confounding macroeconomic shocks. In the sub-period of 1999–2002, we find that depreciations tend to have a negative impact on emerging market stock returns. In the sub-period of 2002–2006, this tendency has largely disappeared. Since we estimate the exchange rate exposure of firms from different countries with a common set of instruments, we can make coherent, cross-country comparisons of their determinants. We find that the impact of various measures of debt on exchange rate exposure, which is negative and significant in the early sub-period, becomes insignificant and even reverses sign in the recent sub-period.     

Oil,the Baltic Dry index,market (il)liquidity and business cycles: evidence from net oil-exporting/oil-importing countries

Financial Markets and Portfolio Management - The recent financial crisis has made (il)liquidity research more significant than ever. Galariotis and Giouvris (Int Rev Financ Anal 38:44–69,...     

Expectation-driven cycles in the housing market: Evidence from survey data

Using a vector-autoregression (VAR) model and data from the University of Michigan Survey of Consumers, we provide evidence on the importance of news and consumers’ beliefs for housing-market dynamics and aggregate fluctuations. We document that innovations to News on Business Conditions generate hump-shaped responses in house prices and other macroeconomic variables. We also show that innovations to Expectations of Rising House Prices are particularly important in explaining the path of macroeconomic variables during housing booms. To disentangle the effects of News on Business Conditions from other sources of expectation-driven cycles, we estimate a VAR where the News variable is ordered first. Innovations to News on Business Conditions generate Expectations of Rising House Prices. However, during housing booms, innovations to Expectations of Rising House Prices unrelated to News on Business Conditions account for a large part of macroeconomic fluctuations. Shocks to News and Expectations account together for more than half of the forecast error variance of house prices, and other macroeconomic variables, during periods of booms in house prices.     

Costs of business cycles for unskilled workers

Unskilled workers are subject to a much larger risk of unemployment during recessions than are skilled workers. Moreover, unskilled workers earn less income, which limits their ability to self-insure. We examine how this heterogeneity in unemployment risk and income across different skill groups translates into heterogeneity in the cost of business cycles. We find that the welfare cost of business cycles for unskilled workers is substantially higher than the welfare cost for skilled workers.     

Cointegrated TFP processes and international business cycles

A puzzle in international macroeconomics is that real exchange rates are highly volatile. Standard international real business cycle (IRBC) models cannot reproduce this fact. This paper provides evidence that TFP processes for the U.S. and the “rest of the world” are characterized by a vector error correction model (VECM) and that adding cointegrated technology shocks to the standard IRBC model helps to explain the observed high real exchange rate volatility. Also, the model can explain the observed increase in real exchange rate volatility with respect to output in the last 20 years by changes in the parameters of the VECM.