Investment‐Specific News Shocks and U.S. Business Cycles

We provide robust evidence that news shocks about future investment‐specific technology (IST) constitute a significant force behind U.S. business cycles. Positive IST news shocks induce comovement, that is, raise output, consumption, investment, and hours. These shocks account for 70% of the business cycle variation in output, hours, and consumption, and 60% of the variation in investment, and have played an important role in 9 of the last 10 U.S. recessions. Our findings provide strong support for shifting focus to IST news shocks when investigating the role of news in driving U.S. business cycles.     

Intersectoral Labor Immobility,Sectoral Comovement,and News Shocks

Sectoral comovement of output and hours worked is a prominent feature of business cycle data. However, most two‐sector neoclassical models fail to generate this sectoral comovement. We construct and estimate a two‐sector neoclassical Dynamic Stochastic General Equilibrium (DGSE) model generating sectoral comovement in response to both anticipated and unanticipated shocks. The key to our model's success is a significant degree of intersectoral labor immobility, which we estimate using data on sectoral hours worked. Furthermore, we demonstrate that imperfect intersectoral labor mobility provides a better explanation for the sectoral comovement than an alternative model emphasizing the role of labor‐supply wealth effects.     

Illiquidity shocks and the comovement between stocks: New evidence using smooth transition

This paper extends the smooth transition conditional correlation model by studying for the first time the impact that illiquidity shocks have on stock market return comovement. We show that firms that experience shocks that increase illiquidity are less liquid than firms that experience shocks that decrease illiquidity. Shocks that increase illiquidity have no statistical impact on comovement. However, shocks that reduce illiquidity lead to a fall in comovement, a pattern that becomes stronger as the illiquidity of the firm increases. This discovery is consistent with increased transparency and an improvement in price efficiency. We find that a small number of firms experience a double illiquidity shock. For these firms, at the first shock, a rise in illiquidity reduces comovement while a fall in illiquidity raises comovement. The second shock partly reverses these changes as a rise in illiquidity is associated with a rise in comovement and a fall in illiquidity is associated with a fall in comovement. These results have important implications for portfolio construction and also for the measurement and evolution of market beta and the cost of capital as it suggests that investors can achieve higher returns for the same amount of market risk because of the greater diversification benefits that exist. We also find that illiquidity, friction, firm size and the pre-shock correlation are all associated with the magnitude of the correlation change.     

The comovement of US and German bond markets

We use a vector-autoregression, with parameter estimates corrected for small-sample bias, to decompose US and German unexpected bond returns into three ‘news’ components: news about future inflation, news about future real interest rates, and news about future excess bond returns (term premia). We then cross-country correlate these news components to see which component is responsible for the high degree of comovement of US and German bond markets. For the period 1975-2003 we find that inflation news is the main driving force behind this comovement. When news is coming to the US market that future US inflation will increase, there is a tendency that German inflation will also increase. This is regarded bad news for the bond market in both countries whereby bond prices are bid down leading to immediate negative return innovations and changing expectations of future excess bond returns. Thus, comovement in expected future inflation is the main reason for bond market comovement.     

News and Business Cycles in Open Economies

We study the effects of news about future total factor productivity (TFP) in a small open economy. We show that an open‐economy version of the neoclassical model produces a recession in response to good news about future TFP. We propose an open‐economy model that generates comovement in response to TFP news. The key elements of our model are a weak short‐run wealth effect on the labor supply and adjustment costs to labor and investment. We show that our model also generates comovement in response to news about future investment‐specific technical change and to “sudden stops.”     

Durable Goods,Investment Shocks,and the Comovement Problem

Sticky‐price models suggest that capital investment shocks are an important driver of business cycle fluctuations. Despite quantitative importance in explaining business cycles, a comovement problem emerges because the shocks generate intertemporal substitution effects away from consumption toward investment. This paper resolves the problem by extending the standard sticky‐price model to a two‐sector model with consumer durable services. When durable goods are used as investment in capital and consumer durables, positive capital investment shocks also generate intratemporal substitution effects away from consumer durable services toward nondurable consumption that dominates intertemporal effects. Consequently, consumption increases, and the comovement problem is resolved.     

STOCK MARKET REACTION TO GOOD AND BAD INFLATION NEWS

This article shows that differentiating between good and bad inflation news is important to understanding how inflation affects stock market returns. Summing positive and negative inflation shocks as in previous studies tends to wash out or mute the effects of inflation news on stock returns. More specifically, we find that, depending on the economic state, positive and negative inflation shocks can produce a variety of stock market reactions. We conclude that the effect of inflation on stock returns is conditional on whether investors perceive inflation shocks as good or bad news in different economic states.     

Investor Attention and Time‐varying Comovements

This paper analyses the effect of an increase in market‐wide uncertainty on information flow and asset price comovements. We use the daily realised volatility of the 30‐year treasury bond futures to assess macroeconomic shocks that affect market‐wide uncertainty. We use the ratio of a stock's idiosyncratic realised volatility with respect to the S&P500 futures relative to its total realised volatility to capture the asset price comovement with the market. We find that market volatility and the comovement of individual stocks with the market increase contemporaneously with the arrival of market‐wide macroeconomic shocks, but decrease significantly in the following five trading days. This pattern supports the hypothesis that investors shift their (limited) attention to processing market‐level information following an increase in market‐wide uncertainty and then subsequently divert their attention back to asset‐specific information.     

Changes in the international comovement of stock returns and asymmetric macroeconomic shocks

We study whether asymmetric macroeconomic shocks help to explain changes in the international comovement of monthly stock returns in major industrialized countries over the period 1975–2004. Based on a time-varying parameter model, we trace out how the pattern of international comovement of stock returns changed over time. In order to identify asymmetric macroeconomic shocks, we estimate vector-autoregressive models. The results of estimating time-series regression models and panel-data models indicate that changes in the international comovement of stock returns are not systematically linked to macroeconomic shocks.     

On the time series measure of conservatism: a threshold autoregressive model

In this note we propose an alternative test specification for Basu’s (1997) time series measure of conservatism that is related to the threshold unit root test of Enders and Granger (1998). We argue that a regression of changes in earnings on the lagged levels—rather than lagged changes—, including an interaction term for negative values, has three conceptual advantages compared to the conventional setup: (1) a smooth, non-oscillating impulse-response pattern to an unexpected shock in earnings (2) a more efficient estimate of persistence in the long run and (3) it can be extended to higher order autoregressive processes. We apply both approaches to a common dataset of firms from the S&P500 index. We confirm the conventional finding that negative shocks are transitory and display stronger mean reversion than positive shocks. However, while most of the literature reports mixed evidence on positive shocks, we find clear evidence that positive shocks are transitory as well. In a Monte Carlo simulation we explain this finding by documenting that larger standard errors in the Basu specification can lead to incorrect inference when the decision between persistent and transitory shocks is close.     

The Comovement of US and UK Stock Markets

US and UK stock returns are highly positively correlated over the period 1918–99. Using VAR‐based variance decompositions, we investigate the nature of this comovement. Excess return innovations are decomposed into news about future dividends, real interest rates, and excess returns. We find that the latter news component is the most important in explaining stock return volatility in both the USA and the UK and that stock return news is highly correlated across countries. This is evidence against Beltratti and Shiller's (1993) finding that the comovement of US and UK stock markets can be explained in terms of a simple present value model. We interpret the comovement as indicating that equity premia in the two countries are hit by common real shocks.     

Housing market dynamics in a small open economy: Do external and news shocks matter?

We study the sources of fluctuations in the housing market of a small open economy. We use an estimated dynamic stochastic general equilibrium (DSGE) model and data from seven small open economies to assess the quantitative effects of both contemporaneous and news shocks to domestic and external fundamentals on housing market dynamics. External shocks and news shocks have significant effects. Cyclical fluctuations in housing prices and housing investment are mainly driven by contemporaneous shocks related to foreign housing preferences and terms of trade, and by news shocks related to domestic consumption-goods technology, housing preferences and terms of trade. The spillover effects of external shocks on housing prices are notably larger than those of domestic shocks.     

Liquidity effects on price and return co-movements in commodity futures markets

Commodity price comovement is an important research area in finance, and previous studies have investigated the determinants of price comovement using low-frequency (monthly or quarterly) macroeconomic data. In comparison, our paper attempts to scrutinize the liquidity effect on commodity prices and return movements based on daily data. Our findings contribute to the literature in three ways. First, we find significant positively correlated price movements across different commodity markets on a daily basis, and such comovement is driven by the cross-sectional liquidity spillover effect. Second, we observe that a cointegration relationship between individual commodity prices and the global price index can be established only if the liquidity effect is controlled. Finally, instantaneous daily liquidity shocks (i.e., innovation) exert a negative impact on daily commodity returns. However, liquidity shocks do not have a significant impact on monthly returns. Our findings are robust and have significant implications for macroeconomic policymaking, such as managing inflation risk.     

The Danish stock and bond markets: comovement,return predictability and variance decomposition

VAR models of the kind developed by Shiller and Beltratti [J. Monetary Econ. 30 (1992) 25] and Campbell and Ammer [J. Finance 48 (1993) 3] are used to analyze the Danish stock and bond markets and their comovement. In contrast to these papers, however, VAR parameter estimates are bias-adjusted and VAR generated statistics, including their standard errors and confidence intervals, are computed using bootstrap simulation. In addition, we modify the Campbell–Ammer variance decomposition such that it can handle returns from a long-term coupon bond. Some parts of the results for the Danish stock and bond markets are quite similar to the US results reported by Shiller and Beltratti and Campbell and Ammer, but other parts stand in sharp contrast to the results for the US. The most important differences between the US and Denmark are that in Denmark news about higher future inflation lead to an increase in expected future stock returns, and that excess stock return news and excess bond return news are negatively correlated.     

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.     

Asymmetric impacts of disaggregated oil price shocks on uncertainties and investor sentiment

This paper aims to examine short- and long-run asymmetries in the impacts of disaggregated oil price shocks on economic policy uncertainty, stock market uncertainty, treasury rates, and investor (bullish and bearish) sentiment in the US. To this end, we use a nonlinear auto-regressive distributed lag cointegration approach, which allows us to capture both positive and negative disaggregated oil shocks. We find that oil demand shocks are the main drivers of both measures of uncertainty, while oil supply shocks affect treasury rates. However, both oil demand shocks and oil supply shocks affect investor sentiment, with certain differences in the effects of positive and negative shocks. The overall effects of both oil demand and supply shocks—whether positive or negative—are stronger in the long-run than in the short-run. Additionally, we apply rolling causality and reveal evidence of a rather homogenous causal flow from disaggregated oil shocks to the variables studied, particularly around global stress periods. Our findings have implications for asset pricing and portfolio risk management and suggest policy formulations that differentiate between disaggregated positive and negative oil price shocks.

     

Ambiguity, Information Quality, and Asset Pricing

When ambiguity‐averse investors process news of uncertain quality, they act as if they take a worst‐case assessment of quality. As a result, they react more strongly to bad news than to good news. They also dislike assets for which information quality is poor, especially when the underlying fundamentals are volatile. These effects induce ambiguity premia that depend on idiosyncratic risk in fundamentals as well as skewness in returns. Moreover, shocks to information quality can have persistent negative effects on prices even if fundamentals do not change.     

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.     

Asset Prices,News Shocks,and the Trade Balance

We analyze the relationship between asset prices and the trade balance estimating a Bayesian VAR for a broad set of 38 industrialized and emerging market countries. To derive model‐based identifying restrictions, we model asset price shocks as news shocks about future productivity in a two‐country dynamic stochastic general equilibrium model. Such shocks are found to exert sizable effects on the trade balance. Moreover, the effects are highly heterogeneous across countries. For instance, following a news shock that implies on impact a 10% increase in domestic equity prices relative to the rest of the world, the U.S. trade balance will worsen by up to 1.0 percentage points, but much less so for most other economies. We find that this heterogeneity appears to be linked to the financial market depth and equity home bias of countries. Moreover, the channels via wealth effects and via the real exchange rate are important for understanding the heterogeneity in the transmission.     

The Quantitative Importance of News Shocks in Estimated DSGE Models

We estimate a dynamic stochastic general equilibrium (DSGE) model with several frictions and both unanticipated and news shocks, using quarterly U.S. data from 1954 to 2004 and Bayesian methods. We find that unanticipated shocks dominate news shocks in accounting for the unconditional variance of output, consumption, and investment growth, interest rate, and the relative price of investment. The unanticipated shock to the marginal efficiency of investment is the dominant shock, accounting for over 45% of the variance in output growth. News shocks account for less than 15% of the variance in output growth. Within the set of news shocks, nontechnology sources of news dominate technology news, with wage markup news shocks accounting for about 60% of the variance share of both hours and inflation. We find that in the estimated DSGE model (i) the presence of endogenous countercyclical price and wage markups due to nominal frictions substantially diminishes the importance of news shocks relative to a model without these frictions, and (ii) while there is little change in the estimated contributions of technology news when we restrict wealth effects on labor supply, the contributions of nontechnology news shocks are relatively more sensitive.