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.     

Comovement,information production,and the business cycle

Recent theoretical research suggests that information production is a positive externality of aggregate economic activity (Veldkamp, 2005). Both the quantity and quality of information increase during periods of economic expansion and decrease during periods of contraction. Based on this insight, we hypothesize and confirm that time-varying information production drives the comovement patterns observed in stock returns. We examine stock return comovement in 36 countries from 1980 to 2007 and show that, consistent with the theory, comovement patterns are countercyclical; that is, when information production is high (low), comovement is low (high). We also find that the relation between comovement and the business cycle is stronger in countries that experience large intertemporal swings in information production. Finally, we show that the relation between business cycle and comovement is stronger in poor countries, countries with less developed financial markets, and countries with weaker accounting and transparency standards. These results suggest that financial development and transparency are conducive to a steady flow of financial information over the business cycle.     

Business cycles,financial cycles and capital structure

We perform peridogram based cycle analysis of firm capital structure and find evidence that firms’ leverage is both persistent and cyclical. The cyclicality of leverage is supported by the trade-off, pecking order and market timing capital structure theories (Korajczyk and Levy in J Financ Econ 68:75–109, 2003; Bhamra et al. in Rev Financ Stud 23:645–703, 2010). Although market timing theory research supports persistence, previous literature dictates that the trade-off and pecking order theories may predict either persistent or mean reverting leverage. Our tests reject mean reversion in favor of persistent and cyclical leverage. We corroborate pecking order theory literature that predicts leverage is persistent. In these models, when firms’ investment spending is below earnings, leverage decreases. In addition, we examine whether firms change their capital structure as a result of business and financial cycles. Since financial cycles last longer than business cycles, financial cycles should have a long term effect on leverage. Our findings confirm the persistent leverage business cycle models that suggest firms change their capital structure due to financial and credit cycles (Jermann and Quadrini in Am Econ Rev 102:238–271, 2012; Azariadis et al. in Rev Econ Stud 83:1364–1405, 2016). We conclude that leverage is persistent due to the cyclicality of the financing decision.     

Business Cycles and the Relation between Security Returns and Earnings

This paper examines business cycle variation in the earnings-returns relation. Earnings are more persistent when growth rates are high (i.e., in an expansion) than when growth rates are low (i.e., in a recession). Earnings are more persistent when production is high (i.e., in a credit crunch period) than when production is low (i.e., in a reliquification period). Relatedly, earnings response coefficients are larger in expansions (credit crunch periods) than in recessions (reliquification periods). Thus, earnings persistence and earnings response coefficients are positively associated with the rate of growth in economic activity and the level of economic activity.     

New Evidence on Optimal Asset Allocation

Brocato and Steed (1998) showed that portfolio rebalancing based on NBER business cycle turning points substantially improves in‐sample Markowitz efficiency. In a similar vein, we investigate potential improvements from rebalancing based on turning points in the monetary cycle. We find that the monetary cycle has greater influence than the business cycle on the variance/covariance structure of multiple asset classes. Furthermore, we find substantial improvements in in‐sample efficiency beyond a buy‐and‐hold strategy and the business‐cycle approach. Importantly, our indicator of monetary cycle turning points has a practical advantage over NBER business cycle turning points, in that it relies only on ex ante information. In out‐of‐sample tests, we continue to find superior portfolio performance after transactions costs using the monetary cycle to time portfolio rebalancing.     

Oil price shocks and the US stock market: A nonlinear approach

We study the response of US stock market returns to oil price shocks and to what extent it behaves asymmetrically over the different phases of the business cycle. For this purpose, we decompose the oil price changes into supply and demand shocks in the oil market and assess the state-dependent dynamics of structural shocks on US stock returns using a smooth transition vector autoregression model. When nonlinearity is considered, quantitatively very different asymmetric dynamics are observed. Our findings show that the responses of US stock returns to disaggregated shocks are asymmetric over the business cycle and that the impact of demand-driven shocks on US stock returns is stronger and more persistent, especially when economic activity is depressed. Furthermore, the contribution of shocks to expectation-driven precautionary demand in recessions accounts for a larger share of the variability of US stock market returns than that predicted by standard linear vector autoregressions.     

Using clustering ensemble to identify banking business models

The business models of banks are often seen as the result of a variety of simultaneously determined managerial choices, such as those regarding the types of activities, funding sources, level of diversification, and size. Moreover, owing to the fuzziness of data and the possibility that some banks may combine features of different business models, the use of hard clustering methods has often led to poorly identified business models. In this paper we propose a framework to deal with these challenges based on an ensemble of three unsupervised clustering methods to identify banking business models: fuzzy c‐means (which allows us to handle fuzzy clustering), self‐organizing maps (which yield intuitive visual representations of the clusters), and partitioning around medoids (which circumvents the presence of data outliers). We set up our analysis in the context of the European banking sector, which has seen its regulators increasingly focused on examining the business models of supervised entities in the aftermath of the twin financial crises. In our empirical application, we find evidence of four distinct banking business models and further distinguish between banks with a clearly defined business model (core banks) and others (non‐core banks), as well as banks with a stable business model over time (persistent banks) and others (non‐persistent banks). Our proposed framework performs well under several robustness checks related with the sample, clustering methods, and variables used.     

The Real Determinants of Asset Sales

I develop a dynamic structural model in which a firm makes rational decisions to buy or sell assets in the presence of productivity shocks. By identifying equilibrium asset prices, the model also examines the aggregate asset sales activity over the business cycle. It shows that changes in productivity, rather than productivity levels, affect decisions: Firms with rising productivity buy assets and firms with falling productivity downsize (“rising buys falling”). As such, industries in which firms have less persistent and more volatile productivity experience greater asset reallocation. Using plant‐level data from Longitudinal Research Database (LRD), I find strong support for the model's predictions.     

Trade wedges,inventories, and international business cycles

The large, persistent fluctuations in international trade that cannot be explained in standard models by changes in expenditures and relative prices are often attributed to trade wedges. We show that these trade wedges can reflect the decisions of importers to change their inventory holdings. We find that a two-country model of international business cycles with an inventory management decision can generate trade flows and wedges consistent with the data. Moreover, matching trade flows alters the international transmission of business cycles. Specifically, real net exports become countercyclical and consumption is less correlated across countries than in standard models. We also show that ignoring inventories as a source of trade wedges substantially overstates the role of trade wedges in business cycle fluctuations.     

Inflation risk premia and the expectations hypothesis

We study the properties of the nominal and real risk premia of the term structure of interest rates. We develop and solve the bond pricing implications of a structural monetary version of a real business cycle model, with taxes and endogenous monetary policy. We show the relation of this model with the class of essentially affine models that incorporate an endogenous state-dependent market price of risk. We characterize and estimate the inflation risk premium and find that over the last 40 years the ten-year inflation risk premium has been has averaged 70 basis points. It is time-varying, ranging from 20 to 140 basis points over the business cycle and its term structure is sharply upward sloping. The inflation risk premium explains 23% (42%) of the time variation in the five (ten)-year forward risk premium and it plays an important role in help explain deviations from the expectations hypothesis of interest rates.     

Habit formation and the persistence of monetary shocks

The dynamic effects and relative importance of monetary shocks in the US business cycle are studied using a sticky-price dynamic stochastic general equilibrium model with habit formation and capital adjustment costs. The model is estimated via maximum likelihood using data on output, real money balances, and the nominal interest rate. Econometric results indicate that the model has a strong internal propagation mechanism that can explain the persistent and hump-shaped response of US output and consumption to monetary shocks.     

Information transfer and firm‐level strategy

In this article, I examine a previously unexplored avenue for information transfer: similarities in firms’ strategies. This examination is based on the idea that information transfer is likely to be positively related to similarity in business activities. Drawing on the concept of generic strategies found in the strategy literature, I develop a measure of strategic distance between firms. Using this measure, I provide evidence that information transfer is positively related to the similarity of firms’ strategies. In addition, I find that this information transfer is strongest when the announcing firm is large or has persistent earnings.     

Information aggregation around macroeconomic announcements: Revisions matter

I show that an empirical relation exists between stock returns on macroeconomic news announcement days and the future revisions of the released data but that this link differs across the business cycle. Using three major macroeconomic series that undergo significant revisions (nonfarm payroll, gross domestic product, and industrial production), I present evidence that daily returns on the Standard & Poor's 500 index and revisions are positively related in expansions and negatively related in recessions. The results suggest that revisions do matter, i.e., that investors care about the final revised value of a macroeconomic series, that they infer accurate information from the release of the preliminary inaccurate report, and that the more precise information is aggregated into prices on the day of the initial announcement. The results are consistent with the predictions of rational expectations trading models around public announcements combined with well-established empirical results on the asymmetric interpretation of information across the business cycle.     

Forecasting National Recessions Using State‐Level Data

We investigate whether there is information useful for identifying U.S. business cycle phases contained in subnational measures of economic activity. Using a probit model to forecast the National Bureau of Economic Research expansion and recession classification, we assess the incremental information content of state‐level employment growth over a commonly used set of national‐level predictors. As state‐level data adds a large number of predictors to the model, we employ a Bayesian model averaging procedure to construct forecasts. Based on a variety of forecast evaluation metrics, we find that including state‐level employment growth substantially improves nowcasts and very short‐horizon forecasts of the business cycle phase. The gains in forecast accuracy are concentrated during months of national recession.     

Is presidential cycle in security returns merely a reflection of business conditions?

We confirm previous findings that both large-cap and small-cap stock returns in the US exhibit a presidential cycle pattern, i.e. returns are significantly higher in the last 2 years than in the first 2 years of the presidential term. We attempt to examine if this presidential cycle pattern can be explained away by the traditional business cycle proxies, namely the term spread (TERM), dividend yield (D/P), and default spread (DEF). Our motivation arises from the political business cycle theory that monetary and fiscal measures undertaken by presidents are usually translated into the business cycle. We find that the presidential cycle has explanatory power beyond business conditions proxies shown to be important in explaining stock returns. Tests of slope parameters show that stock returns are less sensitive to only the D/P during the last 2 years of the presidential term. The presidential cycle effect prevails even after controlling for the party in power and the incumbent versus nonincumbent presidents.     

CAP Forum on E‐Business: Assurance Reporting for XML‐Based Information Services: XARL (Extensible Assurance Reporting Language)*

Extensible business reporting language (XBRL) is an XML‐based method for financial reporting. XBRL was developed to provide users with an efficient and effective means of preparing and exchanging financial information over the Internet. However, like other unprotected data coded in XML, XBRL (document) files (henceforth “documents") are vulnerable to threats against their integrity. Anyone can easily create and manipulate an XBRL document without authorization. In addition, business and financial information in XBRL can be misinterpreted, or used without the organization's consent or knowledge. Extensible assurance reporting language (XARL) was developed by Boritz and No (2003) to enable assurance providers to report on the integrity of XBRL documents distributed over the Internet. Providing assurance on XBRL documents using XARL could help users and companies reduce the uncertainty about the integrity of those documents and provide users with trustworthy information that they could place warranted reliance upon. A limitation of the initial conception of XARL was its tight linkage with the XBRL document and the comparatively primitive approach to codifying the XARL taxonomy. In this paper, we have reconceptualized the idea of XARL as a stand‐alone service for providing assurance on potentially any XML‐based information being shared over the Internet. While our illustrative application in this paper continues to be XBRL‐coded financial information, the code that underlies this version of XARL is a significant revision of our earlier implementation of XARL, is compatible with the latest version of XBRL, and moves XARL into the Web services arena.     

The Role of Real Wage Rigidity and Labor Market Frictions for Inflation Persistence

We analyze the transmission mechanism of wages to inflation within a New Keynesian business cycle model with wage rigidities and labor market frictions. Our main focus is on the channel of real wage rigidities on inflation persistence for which we find the specification of the wage bargaining process to be of crucial importance. Under the standard efficient Nash bargaining, the feedback of wage rigidities on inflation is ambiguous and depends on other labor market variables. However, under the alternative right‐to‐manage bargaining we find that more rigid wages translate directly into more persistent movements of aggregate inflation.     

Introduction: New directions in Information and Screening in Real Estate Finance

Conclusion The evidence presented in this special issue supports the view that preexisting information held by mortgage lenders plays an important role in mortgage approvals. This argues for mortgage lending programs that make efficient use of lender information, and it supports the importance of local financial intermediaries for lending. It also suggests that mortgage finance is an important element in turning transitory shocks into persistent ones that shape macroeconomic and regional business cycles.This Journal has from its inception, with the publication of a seminal article on information and incentives on mortgage contract terms by Dunn and Spart (1988), pushed forward the frontier of knowledge on information issues in real estate finance. This special issue presents empirical evidence on the importance of this aspect of mortgages.     

Interest rates,aggregate information,and monetary policy

Interest rates set on economy-wide markets represent an important source of information to economic agents, within the class of business cycle models advanced by Lucas and Barro. This paper explores the information conveyed by such aggregate signals and the types of monetary policies that can influence economic activity by changing the information content of interest rates.     

A generalized volatility bound for dynamic economies

We develop a generalization of the Hansen-Jagannathan (1991) volatility bound that (i) incorporates the serial correlation properties of return data and (ii) allows us to calculate a spectral version of the bound. This generalization enables us to judge whether models match important aspects of the data in the long run, at business cycle frequencies, seasonal frequencies, etc. Our bound permits evaluation of models without requiring their explicit solution in a way that respects the dynamic implications of the fundamental component of the models, namely, the Euler equation that links asset returns to the intertemporal marginal rate of substitution.