Can Stock Volatility Be Benign? New Measurements and Macroeconomic Implications

We find nonsynchronized movements of two new measures of financial market uncertainty—good and bad volatility—which are based on the maximum and minimum stock prices within a month. Good (bad) volatility is associated with better (worse) expectations about the future economic situation and clearly signals acceleration (deceleration) in economic activity. The VAR results indicate that (i) output, employment, and stock price plummet rapidly in response to a bad volatility shock, while their responses to a good volatility shock are modest, and (ii) bad volatility shocks explain the bulk of economic activity and stock price fluctuations in the medium run.     

Macro‐Fiscal Volatility and the Composition of Public Spending*

Earlier empirical literature has examined some long‐ and medium‐term aspects of macro‐fiscal volatility while leaving its short‐term fiscal impact unexplored. To help fill that gap, we examine the impact of macro‐fiscal volatility on the composition of public spending. To that end, we analyse a panel of 10 EU countries during 1991–2007. Our results suggest that increases in the volatility of regularly‐collected and cyclical revenues such as the VAT and income taxes tend to tilt the expenditure composition in favour of public investment. In contrast, increases in the volatility of ad hoc taxes such as capital taxes tend to favour public consumption spending, albeit only a little. We interpret such volatility innovations as conveying news to the fiscal policymaker about the underlying economic conditions, with especially regularly‐collected and cyclical taxes prompting short‐term cyclical fine‐tuning.     

The Impact of the Volatility of Monetary Policy Shocks

This paper studies the impact of the volatility of monetary policy using a structural vector auroregression (SVAR) model enriched along two dimensions. First, it allows for time‐varying variance of monetary policy shocks via a stochastic volatility specification. Second, it allows a dynamic interaction between the level of the endogenous variables in the VAR and the time‐varying volatility. The analysis establishes that the nominal interest rate, output growth, and inflation fall in reaction to an increase in the volatility of monetary policy. The analysis also develops a dynamic stochastic general equilibrium model enriched with stochastic volatility to monetary policy that generates similar responses and provides a theoretical underpinning of these findings.     

Identifying Monetary Policy Shocks via Changes in Volatility

A central issue of monetary policy analysis is the specification of monetary policy shocks. In a structural vector autoregressive setting there has been some controversy about which restrictions to use for identifying the shocks because standard theories do not provide enough information to fully identify monetary policy shocks. In fact, to compare different theories it would even be desirable to have over-identifying restrictions that would make statistical tests of different theories possible. It is pointed out that some progress toward over-identifying monetary policy shocks can be made by using specific data properties. In particular, it is shown that changes in the volatility of the shocks can be used for identification. Based on monthly U.S. data from 1965 to 1996 different theories are tested and it is found that associating monetary policy shocks with shocks to nonborrowed reserves leads to a particularly strong rejection of the model whereas assuming that the Fed accommodates demand shocks to total reserves cannot be rejected.     

Technology Shocks and the Labor-Input Response: Evidence from Firm-Level Data

We study the relationship between technology shocks and labor input on Swedish firm-level data using a production function approach to identify technology shocks. Taking standard steps yields a contractionary contemporaneous labor-input response in line with previous studies. This finding may, however, be driven by measurement errors in the labor-input variable. Relying on a unique feature of our data set, which contains two independently measured firm-specific labor input measures, we can evaluate the potential bias. We do not find that this bias conceals any true positive contemporaneous effect. The results thus point away from standard flexible-price models and toward models emphasizing firm-level rigidities.     

Investment dynamics with fixed capital adjustment cost and capital market imperfections

This paper examines the implications of financing frictions on capital stocks and on capital accumulation in the presence of non-convex costs of adjusting the capital stock. In this setup finance has an influence on both, the level of capital and the timing of investment. Finance and productivity are complements and finance influences investment the strongest when firms wish to significantly adjust capital for fundamental reasons. These theoretical considerations are confronted with UK data. While finance is mostly irrelevant for long-term capital decision, the short-run investment function shows a significant impact of finance, which is also strongest for strong fundamental investment incentives.     

Cycles in the IPO market

We develop a model in which time-varying real investment opportunities lead to time-varying adverse selection in the market for IPOs. The model is consistent with several stylized facts known about the IPO market: economic expansions are associated with a dramatic increase in the number of firms going public, which is in turn positively correlated with underpricing. Adverse selection is procyclical in the sense that dispersion in unobservable quality across firms should be more pronounced during booms. Taking the premise that uncertainty is resolved (and thus private information revealed) over time, we test this hypothesis by looking at long-run abnormal returns and delisting rates. Consistent with the model, we find (a) greater cross-sectional return variance, and (b) higher incidence of delisting for hot-market IPOs.     

Alternative Methods for Solving Heterogeneous Firm Models

I implement and compare five solution methods for a benchmark heterogeneous firms model with lumpy capital adjustment and aggregate uncertainty. The Krusell–Smith algorithm performs best within a group of methods using projection in the aggregate states. Another technique, Parameterization plus Perturbation, is much faster and performs best within a group of methods using perturbation in aggregates. However, projection and perturbation have nonoverlapping strengths and weaknesses. I highlight the resulting trade‐offs with several model extensions. I recommend that researchers apply projection methods to cases with large shocks or nonlinear dynamics, while cases with explicitly distributional channels at work favor perturbation.     

Real exchange rate adjustment in European transition countries

In single-equation tests, real exchange rates show mean reversion for nine of 10 Central and Eastern European transition countries for the period January 1993 to December 2005. Because of the shift from controlled to market economies and accompanying crises, failed policy regimes and changes in exchange rate regimes, unit root tests for transition countries often require allowance for structural changes. Accounting for structural breaks gives substantially faster mean-reversion speeds than those found for major industrialized countries. These fast adjustment speeds are plausible: Transition countries had perhaps 10 years to make unprecedented adjustments required for accession to the European Union. A number of papers have applied non-linear models to the Central and Eastern European countries. This paper investigates four non-linear models and compares them with piece-wise linear break models. The break models appear superior in detecting mean reversion for the Central and Eastern European transition countries.     

What Makes the Output–Inflation Trade‐Off Change? The Absence of Accelerating Deflation in Japan

It is standard to model the output–inflation trade-off as a linear relationship with a time-invariant slope. We assess empirical evidence for two sets of theories that allow for endogenous variation in the slope of the short-run Phillips curve. At an empirical level, we examine why large negative output gaps in Japan in the late 1990s did not lead to accelerating deflation but instead coincided with stable, albeit moderately negative inflation. Our results suggest that this episode is most convincingly interpreted as reflecting a gradual flattening of the Phillips curve. We find that this flattening is best explained by models with endogenous price durations. These models imply that in any economy where trend inflation is substantially lower (or substantially higher) today than in past decades, time variation in the slope of the Phillips curve has become too important to ignore.     

Rational Inattention in Uncertain Business Cycles

The paper proposes endogenous information choice as a channel through which uncertainty affects price dynamics. I consider a rational inattention model with volatility uncertainty and endogenous information processing capability. According to the model, firms' learning and optimal attention exhibits inertia and asymmetry in response to volatility changes. Firms choose to process more information when uncertainty rises, especially about aggregate conditions, and their pricing behavior changes accordingly. Using a Markov‐switching factor‐augmented vector autoregression (MS‐FAVAR), the paper also documents a significant positive correlation between volatility and firms' responsiveness to macro‐ and microlevel shocks, consistent with model predictions.     

Volatility components, leverage effects, and the return-volatility relations

This paper investigates the risk-return trade-off by taking into account the model specification problem. Market volatility is modeled to have two components, one due to the diffusion risk and the other due to the jump risk. The model implies Merton’s ICAPM in the absence of leverage effects, whereas the return-volatility relations are determined by interactions between risk premia and leverage effects in the presence of leverage effects. Empirically, I find a robust negative relationship between the expected excess return and the jump volatility and a robust negative relationship between the expected excess return and the unexpected diffusion volatility. The latter provides an indirect evidence of the positive relationship between the expected excess return and the diffusion volatility.     

Exchange rate bubbles: Fundamental value estimation and rational expectations test

We propose a model of periodically collapsing bubbles which extends the Van Norden (1996) model, and nests it, by considering a non-linear specification for the bubble size in the survival regime, and the endogenous determination of the level of the fundamental value of the stochastic process. They allow us to test for rationality in the formation of expectations, and remove the arbitrariness of exogenously setting the level of the fundamental value. This general model is applied to the exchange rate of the Brazilian real to the US dollar from March 1999 to February 2011. The futures market exchange rate is used as a proxy of its expected future value, and three different structural models are considered for the determination of the fundamental value. The first two imply that the exchange rate satisfies either purchasing power parity (PPP), or a modified version of it. The third structural model is a version of the monetary model of exchange rate determination, fitted to the period under consideration. We obtain the maximum likelihood estimate of the parameters of the models, explore the properties of the errors, test its restricted versions, and compare the three specifications for the fundamental. We find that the models we propose fit well the data, and are useful in the heuristic interpretation of the exchange rate movements of the period. Finally we select the structural models that display the best performance, according to several criteria.     

Do long swings in the business cycle lead to strong persistence in output?

This paper investigates how the occasional long swing in the business cycle can produce long-memory behavior in US output. To prove this theoretical relationship, we extend the Hamilton Markov chain regime switching model of real aggregate output to include the occasional long regime. We do this by modeling the duration length of the expansion and recession regimes as draws from a fat-tailed distribution with realized durations that are high in variability and occasionally extreme in value. Empirically, we find that the tail indices for the length of US economic booms and busts correspond with the long-memory parameter estimates of Diebold and Rudebusch [1989. Long memory and persistence in aggregate output. Journal of Monetary Economics 24, 189-209] and Sowell [1992a. Modeling long-run behavior with the fractional ARIMA model. Journal of Monetary Economics 29, 277-302] for real US output. Estimates of our extended regime switching model produce better short- and long-run forecasts of output in comparison to forecasts with a fractionally integrated model. Furthermore, our estimated regime-switching model finds US expansions to be fragile during their infancy, but become more and more likely to continue after surviving the first seven quarters.     

The Dynamic Relations between Market Returns and Two Types of Risk with Business Cycles

We examine the dynamic relations among market returns, market (MV), and idiosyncratic (IV) around business cycles. Compared to the conventional view, which treats MV and IV separately, we first find that excess return on the market anticipates negative MV and IV, suggesting market return's role as an economic indicator, with the relation stronger in recessions. Second, IV helps predict positive MV, mainly in early part of recessions, suggesting a dynamic evolution from IV to MV. Third, MV helps predict negative IV, suggesting MV may substitute IV to some extent.     

Loan supply shocks during the financial crisis: Evidence for the Euro area

This paper employs a panel vector autoregressive model for the member countries of the Euro Area to explore the role of banks during the slump of the real economy that followed the financial crisis. In particular, we seek to quantify the macroeconomic effects of adverse loan supply shocks, which are identified using sign restrictions. We find that loan supply shocks significantly contributed to the evolution of the loan volume and real GDP growth in all member countries during the financial crisis. However, concerning both, the timing and the magnitude of the shocks our results also indicate that the Euro Area was characterized by a considerable degree of cross-country heterogeneity.     

Inventory Dynamics and Business Cycles: What Has Changed?

To what extent can information-technology led improvements in inventory management account for the apparent moderation of economic fluctuations in the United States since the mid-1980s? We argue that changes in inventory dynamics played a reinforcing—rather than a leading—role in the reduction of output volatility. Since the mid-1980s, inventory dynamics have changed in a manner consistent with a faster resolution of inventory imbalances. However, these changes appear to be a consequence of changes in the response of industry-level sales and aggregate economic activity to monetary policy shocks. Our results suggest that it is the interaction between the changes in inventory behavior at the industry level and the macroeconomic environment—where the latter likely includes changes in the conduct of monetary policy and the responses of the economy to policy disturbances—rather than any single factor, that has contributed importantly to the observed decline in economic volatility.     

Vector autoregressions and reduced form representations of DSGE models

The performance of dynamic stochastic general equilibrium models is often tested against estimated VARs. This requires that the data-generating process consistent with the DSGE theoretical model has a finite order VAR representation. This paper discusses the assumptions needed for a finite order VAR(p) representation of a DSGE model to exist. When a VAR(p) is only an approximation to the exact infinite order VAR, the truncated VAR(p) may return largely incorrect estimates of the impulse response function. The results do not hinge on small-sample bias or on incorrect identification assumptions. But the bias introduced by truncation can lead to bias in the identification of the structural shocks. Identification strategies that work in the exact VAR representation perform poorly in the truncated VAR.     

Investment and liquidation in renegotiation-proof contracts with moral hazard

In a long-term contract with moral hazard, the liquidation of the firm can arise as the outcome of the optimal contract. However, if the future production capability or market opportunities remain unchanged, liquidation may not be free from renegotiation. Will the firm ever be liquidated if we allow for renegotiation? This paper shows that the firm can still be liquidated even though liquidation is not free from renegotiation in the long-term contract. In addition to liquidation, the renegotiation-proof contract generates important features of the investment behavior and dynamics of firms observed in the data.