The Impact of Uncertainty Shocks under Measurement Error: A Proxy SVAR Approach

A growing literature considers the impact of uncertainty using SVAR models that include proxies for uncertainty shocks as endogenous variables. In this paper, we consider the impact of measurement error in these proxies on the estimated impulse responses. We show via a Monte Carlo experiment that measurement error can result in attenuation bias in impulse responses. In contrast, the proxy SVAR that uses the uncertainty shock proxy as an instrument does not suffer from this bias. Applying this latter method to the Bloom (2009) data set results in impulse responses to uncertainty shocks that are larger in magnitude and more persistent than those obtained from a recursive SVAR.     

Real-Estate Risk Effects on Financial Institutions’ Stock Return Distribution: a Bivariate GARCH Analysis

This paper examines two relationships using the bivariate generalized autoregressive conditionally heteroskedastic (GARCH) methodology. First, the relationship between equity returns of commercial banks, savings and loans (S&Ls) and life insurance companies (LICs), and those of the real-estate investment trusts (REITs), a proxy for the real-estate sector performance. Second, the relationship between conditional volatilities of the stock returns of these financial intermediaries (FIs) and that of REITs. The former relationship allows the spillover of returns between the real-estate and the financial intermediation sector to be analyzed. The latter allows an investigation of the prevalence, direction and strength of inter-sectoral risk transmission to be carried out. Several interesting results are obtained. First, the equity returns of the FIs considered follow a GARCH process and should be modeled accordingly. Second, as found in the literature, returns on REITs should be modeled using the Fama-French multiple factor model. However, this model has to be extended to incorporate a GARCH error structure. Third, all FI returns considered are highly sensitive to REIT returns and the effects are both statistically and economically significant. This is an indication that shocks to REITs returns spillover to the former markets. Fourth, spillover of increased volatility in the real-estate sector to S&Ls and LICs is significant but not to commercial banks.     

Information,uncertainty, and behavioral effects: Evidence from abnormal returns around real estate investment trust earnings announcements

In this study, we examine the influence of real estate market sentiment, market-level uncertainty, and REIT-level uncertainty on cumulative abnormal earnings announcement returns over the 1995–2009 time period. We first document the relative coverage of analysts' earnings forecasts on U.S. REITs, as well as REITs from several countries (i.e., Australia, Belgium, Canada, France, Hong Kong, Japan, the Netherlands, and UK). We show that coverage outside of the U.S. is limited, and we consequently focus our analysis on U.S. REITs. We find strong evidence that earnings announcements contain pricing relevant information, with positive (negative) earnings surprises relative to analysts' forecasts resulting in significantly positive (negative) abnormal returns around the announcement date. Consistent with the findings from the broader equity market literature, we find limited evidence of a pre-announcement drift in the cumulative abnormal returns. However, in sharp contrast to the existing equity literature, we find no evidence of a post-earnings announcement drift in our aggregate sample or when the sample is restricted to the largest negative surprises. We find evidence of a post-earnings announcement drift for only the largest positive earnings surprises. These results are consistent with REIT returns more quickly impounding information relative to the broader equity market, in part because of the parallel private real estate market and because of the U.S. REIT structure and information environment. Finally, in our conditional regression analysis of cumulative abnormal returns, we find that real estate investor sentiment, market-wide uncertainty, and firm-level uncertainty significantly affect the magnitude of abnormal announcement returns and also influence the effect of unexpected earnings on abnormal returns.     

Stock Returns,Expected Returns,and Real Activity

Measuring the total return variation explained by shocks to expected cash flows, time-varying expected returns, and shocks to expected returns is one way to judge the rationality of stock prices. Variables that proxy for expected returns and expected-return shocks capture 30% of the variance of annual NYSE value-weighted returns. Growth rates of production, used to proxy for shocks to expected cash flows, explain 43% of the return variance. Whether the combined explanatory power of the variables—about 58% of the variance of annual returns—is good or bad news about market efficiency is left for the reader to judge.     

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 Relationship Between REITs Returns and Inflation: A Vector Error Correction Approach

Previous studies show that REITs returns and inflation arenegatively related. This paper reexamines this perverse inflation hedgephenomenon by investigating the relationship among REITs returns, realactivities, monetary policy and inflation through a Vector ErrorCorrection Model. Empirical results show that inflation does notGranger-cause REITs returns and that REITs returns signal changes in monetary policy. The observed negative relationship between REITs returnsand inflation is merely a proxy for the more fundamental relationshipbetween REITs returns and other macroeconomic variables.     

Cross-sector comovements and policy impact in the COVID-19 stock market: A dynamic factor approach

This study investigates the remarkable comovements in U.S. equity returns during the COVID-19 pandemic. It constructs a dynamic factor model (DFM) to illuminate the sources of the comovements and their implications. Using the Markov Chain Monte Carlo (MCMC) estimation method, the study finds that the comovements had a weak daily oscillation pattern during the pandemic. With that pattern, the study also finds significant monetary policy effects on the equity returns of several key sectors. In addition, it estimates the impact of news shocks, including monetary policy news, fiscal stimulus news, and unemployment news, on cross-sector equity returns. For any given sector, the conventional and unconventional monetary policy news shocked the sector in opposite directions. Among the positive monetary news shocks, the strongest were from interest rate policy surprises. Conversely, fiscal stimulus news had the most substantial positive impact and triggered all sectors to rebound from the bear market at the end of March 2020. Furthermore, by applying Natural Language Processing (NLP) sentiment analysis, this study sheds light on the positive correlation between comovements and news sentiment.     

Oil price shocks,policy uncertainty,and stock returns of oil and gas corporations

This paper investigates the effects of oil price shocks and economic policy uncertainty on the stock returns of oil and gas companies. We find that an oil demand-side shock has a positive effect on the return of oil and gas companies on average, whereas shocks to policy uncertainty have a negative effect on the return. Historical decomposition shows that the effects of oil shocks on the stock return are amplified by the endogenous policy uncertainty responses. These results are consistent with those for major integrated oil and gas companies. The return responses, however, show heterogeneous effects of structural shocks on upstream, midstream, and downstream oil and gas companies, suggesting that a well-diversified portfolio is obtainable.     

Currency jumps,cojumps and the role of macro news

This study investigates the impact of macro news on currency jumps and cojumps. The analysis uses intra-day data, sampled at 5-min frequency, for four currencies for the period 2005–2010. Results indicate that currency jumps are a good proxy for news arrival. We find 9–15% of currency jumps can be directly linked to U.S. announcements. Notably, news can explain 22–56% of the 5-min jump returns, and there is evidence that better-than-expected news about the U.S. economy has a negative impact on currency jumps. Cojump statistics suggest close dependencies among European currencies, especially between the euro and the Swiss franc. We also provide evidence on the uncertainty resolution to news.     

Asymmetric Impact of Oil Price Shock on Stock Market in China: A Combination Analysis Based on SVAR Model and NARDL Model

This article integrates the SVAR model and nonlinear ARDL (NARDL) model to analyze the long-run and short-run asymmetric effect of structural oil price shocks on the Chinese stock market. We reveal that the demand-side shocks of oil price have a significant impact on the Chinese stock market in both short and long run, but the supply shock is an exception. In terms of asymmetric nature, there is no evidence of asymmetric impact when it refers to the supply shock and the oil-specific demand shock on stock market, and only the aggregate demand shock has asymmetric effect in short run.     

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.     

THE EFFECT OF U.S. TRADE DEFICIT ANNOUNCEMENTS ON THE STOCK PRICES OF U.S. AND JAPANESE AUTOMAKERS

The existing literature on the trade news effect on asset prices generally looks at exchange rates and stock market indexes. We focus on individual stocks: the U.S. and Japanese “Big Three” automobile stocks. We examine Japanese automobile American Depositary Receipts (ADRs), not the stocks per se, to avoid the time lag problem. First, we find deficit news shocks, especially the positive shocks, have a negative effect on the Japanese automobile ADRs. Second, we find only weak evidence that the news effect is different under different economic conditions. Third, trade news is found to be a competitive shock to the automakers in the sense of Karolyi and Stulz (1996) . Last, statistically generated U.S.–Japan bilateral trade deficit news and bilateral auto trade deficit news have no effect on the automobile stock in general.     

Stock returns after major price shocks: The impact of information

This paper focuses on stocks that experience major price changes. Using analyst reports as a proxy, I find that price events accompanied by information are followed by drift, while no-information ones result in reversals. One interpretation of these results is that investors underreact to news about fundamentals and overreact to other shocks that move stock prices. Consistent with this hypothesis, information-based price changes are more strongly correlated with future earnings surprises than no-information ones. Furthermore, drift exists only when the direction of the price move and of the change in analyst recommendations have the same sign. Finally, the ratio of no-information to information-based price shocks is strongly correlated with aggregate implied volatility and also forecasts momentum returns.     

Time-varying impacts of demand and supply oil shocks on correlations between crude oil prices and stock markets indices

This paper investigates the time-varying impacts of demand and supply oil shocks on correlations between changes in crude oil prices and stock markets returns. The findings, obtained by means of a DCC-GARCH from June 2006 to June 2016, indicate that demand shocks positively affected the correlations between crude oil prices and stock market returns from late 2007 to mid-2008, during the apex of the financial markets volatility; from early 2009 to mid-2013, during global economy recovery from the financial crisis; and after 2015, when uncertainties about the Chinese growth and the US economy upturning arose. The dynamic conditional correlation, obtained after the removal of demand shocks effects, presented an average value of 0.13 when all economy sectors were considered and of 0.03 when the energy sector returns were excluded from the stock index. These correlations, still positive on average, suggest that exogenous supply oil shocks had little impact on US mainly enterprises cash flows over the last 10 years. Exceptions are the periods from 2006 to financial crisis and from 2014 until April 2016, when significant and unpredicted changes in oil market happened, considerably affecting the value of the main US companies.     

News-driven return reversals: Liquidity provision ahead of earnings announcements

This study documents a six-fold increase in short-term return reversals during earnings announcements relative to non-announcement periods. Following prior research, we use reversals as a proxy for expected returns market makers demand for providing liquidity. Our findings highlight significant time-series variation in the magnitude of short-term return reversals and suggest that market makers demand higher expected returns prior to earnings announcements because of increased inventory risks that stem from holding net positions through the release of anticipated earnings news. Collectively, our findings suggest that uncertainty regarding anticipated information events elicits predictable increases in the compensation demanded for providing liquidity and that these increases significantly affect the dynamics and information content of market prices.     

News Shocks,Business Cycles,and the Disinflation Puzzle

We argue that key findings of the empirical literature on the effects of news about future technology—including their tendency to generate negative comovement of macro-economic aggregates, and their puzzling disinflationary nature—are due to measurement errors in total factor productivity (TFP). In this paper, we estimate the macro-economic effects of news shocks in the United States using an agnostic identification approach that is robust to measurement errors. We find no evidence of negative comovement conditional on a news shock, and the disinflation puzzle essentially vanishes under our identification strategy. Our results also indicate that news shocks have become an important driver of business-cycle fluctuations in recent years.     

The impact of global economic policy uncertainty on portfolio optimization: A Black–Litterman approach

This paper investigates the asymmetric impact of global economic policy uncertainty (GEPU) on global asset allocation. We employ the Double Asymmetric GARCH-MIDAS (DAGM) model to examine the asymmetric effect of GEPU shocks on long-term volatilities of global equities, bonds, commodities, clean energy and Bitcoin. The GEPU-based volatility is used as a proxy for the uncertainty of the investor’s views in the Black-Litterman (BL) framework. Empirical results show that the BL model with GEPU-based views yields higher out-of-sample risk-adjusted returns than other traditional benchmarks in most cases. The findings suggest that investors should consider the influence of GEPU when making portfolio decisions.     

Short-term under/overreaction, anticipation or uncertainty avoidance? Evidence from India

We examine the short-term price behaviour of three, size-conditioned Indian stock market indices, in response to informational shocks. A standard mean-adjusted returns model as well as the GJR-GARCH specification point towards underreaction to negative events in the medium and small capitalization indices. Also, the pre-event coefficients are generally negative and statistically significant, regardless of the sign of the shock, thus ruling out information leaks. We uncover a stable abnormal volatility pattern which increases monotonically a few days before the shock before suddenly decreasing in magnitude on the event day and beyond. We suggest uncertainty avoidance as a potential explanation of these features. The results are fairly robust across alternative event selection procedures, time, and size-conditioned shocks.     

Multifrequency news and stock returns

Equity prices are driven by shocks with persistence levels ranging from intraday horizons to several decades. To accommodate this diversity, we introduce a parsimonious equilibrium model with regime shifts of heterogeneous durations in fundamentals, and estimate specifications with up to 256 states on daily aggregate returns. The multifrequency equilibrium has higher likelihood than the Campbell and Hentschel [1992. No news is good news: an asymmetric model of changing volatility in stock returns. Journal of Financial Economics 31, 281–318] specification, while producing volatility feedback 10 to 40 times larger. Furthermore, Bayesian learning about volatility generates a novel trade-off between skewness and kurtosis as information quality varies, complementing the uncertainty channel [e.g., Veronesi, 1999. Stock market overreaction to bad news in good times: a rational expectations equilibrium model. Review of Financial Studies 12, 975–1007]. Economies with intermediate information best match daily returns.     

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.