The dynamics of U.S. REITs returns to uncertainty shocks: A proxy SVAR approach

This paper investigates the impact of uncertainty shocks on REITs returns over a monthly period from 1972:01 to 2015:12, and sub-samples from 1972:01 to 2009:06, and 2009:07 to 2015:12, to accommodate for the possible effects of the Global Financial Crisis (GFC) and unconventional monetary policy decisions. We use the recently-proposed variations in the price of gold, around events associated with unexpected changes in uncertainty as an instrument to identify uncertainty shocks in a proxy Structural Vector Autoregressive (SVAR) model. Moreover, to control for news-related effects associated with these events, uncertainty and news shocks are jointly identified based on a set-identified proxy SVAR, as recently suggested in the VAR literature. Our results show that the uncertainty shock generates a larger negative impact on REITs returns over the post-GFC period to the extent that it also outweighs the impact of the otherwise dominant news (productivity) shocks. In addition, the impulse response dynamics related to the recursively identified uncertainty shock, as is standard in the literature, resembles the effects of a news shock, and somewhat contrary to intuition suggests that the impact of the uncertainty shock on REITs returns were higher during the pre-GFC era.     

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.     

The Response of Hours to a Technology Shock: A Two-Step Structural VAR Approach

The response of hours to a technology shock is a controversial issue in macroeconomics. Part of the difficulty lies in that the estimated response is sensitive to the specification of hours in structural vector autoregressions (SVARs). This paper uses a simple two-step approach to consistently estimate the response of hours. The first step considers a SVAR model with a relevant stationary variable, but excluding hours. Given a consistent estimate of technology shocks in the first step, the response of hours to this shock is estimated in a second step. Simulation experiments from an estimated dynamic stochastic general equilibrium (DSGE) model show that this approach outperforms standard SVARs. When applied to U.S. data, the two-step approach predicts a short-run decrease followed by a hump-shaped positive response. This result is robust to other specifications and data.     

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.     

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.     

Monetary policy shocks: : Testing identification conditions under time-varying conditional volatility

We propose an empirical procedure, which exploits the conditional heteroscedasticity of fundamental disturbances, to test the targeting and orthogonality restrictions imposed in the recent VAR literature to identify monetary policy shocks. Based on U.S. monthly data for the post-1982 period, we reject the non-borrowed-reserve and interest-rate targeting procedures. In contrast, we present evidence supporting targeting procedures implying more than one policy variable. We also always reject the orthogonality conditions between policy shocks and macroeconomic variables. We show that using invalid restrictions often produces misleading policy measures and dynamic responses. These results have important implications for the measurement of policy shocks and their temporal effects as well as for the estimation of the monetary authority's reaction function.     

Corporate decision making in the presence of political uncertainty: The case of corporate cash holdings

Using a quarterly panel of U.S. corporations over the period 1985–2014, we show that corporate managers respond to political uncertainty and economic policy uncertainty shocks in different ways. We proxy for political uncertainty using the Partisan Conflict Index and employ a prevalent empirical macroeconomic methodology to construct structural shocks that are orthogonal to shocks captured by the Economic Policy Uncertainty Index. Following a political uncertainty shock, corporations increase cash but do not adjust investment. Alternatively, following an economic policy uncertainty shock, firms appear to draw on cash and reduce capital spending to increase research and development spending.     

THE UNDERPRICING OF INITIAL PUBLIC OFFERINGS,EX ANTE UNCERTAINTY,AND PROXY SELECTION

This paper reconsiders the prediction that the underpricing of IPOs is increasing in ex ante uncertainty by objectively establishing proxies for ex ante uncertainty on definitional grounds rather than by appealing to intuitive arguments. Based on a sample of 420 U.S. IPOs from the period 1976–1985, the results suggest that there is a hierarchy of proxies. The results also support the prediction of a positive relation between underpricing and ex ante uncertainty. Finally, the results suggest that as the effectiveness of a selected proxy as a measure of ex ante uncertainty increases, so does the strength of the relation between the degree of underpricing and ex ante uncertainty as measured by that proxy.     

FX Dynamics,Limited Participation,and the Forward Bias Anomaly

Standard foreign exchange (FX) models with goods price stickiness and instantaneous asset market adjustments imply FX overshooting ( Dornbusch, 1976 ), which can explain the forward bias anomaly. Lyons (2001) explained the anomaly via limited participation of FX speculators due to Sharpe ratios lower than equity market alternatives, which implies FX undershooting to interest differential shocks. I derive the time‐series implications of overshooting and undershooting for the joint forward/spot FX dynamics in a vector error correction model. I use generalized impulse response analysis ( Pesaran and Shin, 1998 ) to test those implications. All FX studied (pound, deutsch mark, French franc, yen, and Canadian dollar) have dynamics consistent with undershooting during the period from 1975 to 1998.     

Fundamental Economic Shocks and the Macroeconomy

We ask how macroeconomic and financial variables respond to empirical measures of shocks to technology, labor supply, and monetary policy. These three shocks account for the preponderance of output, productivity, and price fluctuations. Only technology shocks have a permanent impact on economic activity. Labor inputs have little initial response to technology shocks. Monetary policy has a small response to technology shocks but "leans against the wind" in response to the more cyclical labor supply shock. This shock has the biggest impact on interest rates. Stock prices respond to all three shocks. Other empirical implications of our approach are discussed.     

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.     

Market proxies and the conditional prediction of returns

Ex post efficient proxies for the market portfolio are tested against the equal weight proxy. The equal weight proxy outperforms the others when the criterion is squared error of conditional prediction of returns. The ex post efficient proxies use maximum likelihood estimates of return. Stein estimates of return will generally be different from the maximum likelihood estimates and they necessarily correspond to market proxies which are not efficient ex post. In other words, there generally exists a better, inefficient, proxy than an ex post efficient proxy when the criterion is squared error of conditional prediction of return.     

On the Accuracy of Different Measures of q

Tobin's q is widely accepted as a proxy for an underlying "true" q, which is assumed to characterize a firm's incentive to invest. Researchers have developed numerous methods for computing q. This article assesses the measurement quality of different proxies for q. We adapt the measurement-error consistent estimators in Erickson and Whited (2002) to estimate the extent to which variation in true unobservable q explains variation in different proxies for q. We find most proxies for q are poor: careful algorithms for calculating q do little to improve measurement quality. Using elaborate algorithms, however, depletes the number of usable observations and possibly introduces sample selection bias.     

Credit market shocks and economic fluctuations: Evidence from corporate bond and stock markets

To identify disruptions in credit markets, research on the role of asset prices in economic fluctuations has focused on the information content of various corporate credit spreads. We re-examine this evidence using a broad array of credit spreads constructed directly from the secondary bond prices on outstanding senior unsecured debt issued by a large panel of nonfinancial firms. An advantage of our “ground-up” approach is that we are able to construct matched portfolios of equity returns, which allows us to examine the information content of bond spreads that is orthogonal to the information contained in stock prices of the same set of firms, as well as in macroeconomic variables measuring economic activity, inflation, interest rates, and other financial indicators. Our portfolio-based bond spreads contain substantial predictive power for economic activity and outperform—especially at longer horizons—standard default-risk indicators. Much of the predictive power of bond spreads for economic activity is embedded in securities issued by intermediate-risk rather than high-risk firms. According to impulse responses from a structural factor-augmented vector autoregression, unexpected increases in bond spreads cause large and persistent contractions in economic activity. Indeed, shocks emanating from the corporate bond market account for more than 30 percent of the forecast error variance in economic activity at the two- to four-year horizon. Overall, our results imply that credit market shocks have contributed significantly to US economic fluctuations during the 1990-2008 period.     

Indeterminacy, aggregate demand, and the real business cycle

We show that under indeterminacy aggregate demand shocks are able to explain not only aspects of actual fluctuations that standard RBC models predict fairly well, but also aspects of actual fluctuations that standard RBC models cannot explain, such as the hump-shaped, trend reverting impulse responses to transitory shocks found in US output (Cogley and Nason, Am. Econom. Rev. 85 (1995) 492); the large forecastable movements and comovements of output, consumption and hours (Rotemberg and Woodford, Am. Econom. Rev. 86 (1996) 71); and the fact that consumption appears to lead output and investment over the business cycle. Indeterminacy arises in our model due to capacity utilization and mild increasing returns to scale.     

Irreversibility,Uncertainty and Housing Investment

Housing represents a form of “irreversible” investment. Theoretically, increased uncertainty should lower housing investment. Empirically, finding a proxy for uncertainty has proven problematic. Some recent papers have investigated the effect of uncertainty on real estate investment, with varying proxies for uncertainty and mixed results. This paper employs a technique used in modern macroeconomic studies, the Generalized Autoregressive Conditional Heteroskedasticity-in-Mean model, which has been shown to correspond as closely as any known measure to theoretical concepts of uncertainty. Results indicate that uncertainty indeed has a negative impact on housing starts.     

Use of Fuller's Technique to Reduce Measurement Error in the Returns/Earnings Association

Empirical estimates of the earnings response coefficient have consistently been lower than theory predicts. This may be because empirical proxies for unexpected earnings contain measurement error. I demonstrate and evaluate the use of a recently developed technique by Fuller that yields consistent parameter estimates in the presence of measurement error. The empirical results indicate that this technique is successful at mitigating measurement error bias in the earnings response coefficient. The earnings response coefficient increases by as much as 52%. In contrast, replication of the techniques performed in previous studies increases the earnings response coefficient by only 8%.     

THE INFLATIONARY IMPACT OF OIL PRICE SHOCKS: A VECTOR AUTOREGRESSIVE STUDY

The paper estimates a seven-variable vector autoregressive model of the U.S. economy over the period 1970.1 to 1990.4. Forecast error variance and impulse analysis are performed on the estimated system to determine the inflationary impact of increases in the price of oil over this period. The analysis shows that a negligible percentage of inflation's forecast error variance can be attributable to increases in the price of oil. Moreover, the impulse simulations result in negative Consumer Price responses to increases in the price of oil. The primary response to a positive shock in the price of oil was a decrease in real output. The results, in general, support previous studies emphasizing the demand-side of response to oil price shocks rather than shifts in aggregate supply.     

Capital structure choice and company taxation: A meta-study

This paper provides a quantitative review of the empirical literature on the tax impact on corporate debt financing. Synthesizing the evidence from 48 previous studies, we find that this impact is substantial. In particular, the tax rate proxy determines the outcome of primary analyses. Measures like the simulated marginal tax rate (Graham, 1996) avoid a downward bias in estimates for the debt response to tax. Moreover, econometric specifications and the set of control-variables affect tax effects. Accounting for misspecification biases by means of meta-regressions, we predict a marginal tax effect on the debt ratio of about 0.27.