Idiosyncratic Cash Flows and Systematic Risk

We show that unpriced cash flow shocks contain information about future priced risk. A positive idiosyncratic shock decreases the sensitivity of firm value to priced risk factors and simultaneously increases firm size and idiosyncratic risk. A simple model can therefore explain book‐to‐market and size anomalies, as well as the negative relation between idiosyncratic volatility and stock returns. Empirically, we find that anomalies are more pronounced for firms with high idiosyncratic cash flow volatility. More generally, our results imply that any economic variable correlated with the history of idiosyncratic shocks can help to explain expected stock returns.     

Price leadership and asynchronous movements of multi-market listed stocks

We examine the asynchronous price movements of the same assets traded on multiple markets, each of which has its unique characteristics. Differently from the existing literature, we use a dynamic structural Vector Autoregressive (VAR) setting to explore the effects of market-wide and idiosyncratic shocks on both home and host listings. We find strong evidence that foreign prices lead home prices, but not the reverse effect. Contrary to theory predictions, investors in the firms’ home market respond to idiosyncratic fluctuations in the stock returns in the host markets. Our results suggest that investors pay attention to fluctuations in the stocks listed on the more institutionally developed markets.     

The Importance of Cash-Flow News for Financially Distressed Firms

Previous studies have shown that stock prices are moved primarily by news about discount rates (expected returns). I argue that when a firm experiences financial distress, news about cashflows becomes more dominant in driving its stock returns. Applying Campbell's (1991) variance decomposition framework to financially distressed firms supports this argument. Furthermore, I find that more bankruptcies occur after negative shocks to expected cashflows than after positive shocks to discount rates; and that stock prices of distressed firms are less sensitive than those of sound firms to changes in equity risk.     

Is U.S. economic policy uncertainty priced in China's A-shares market? Evidence from market,industry, and individual stocks

This paper is motivated by Bali, Brown, and Tang (2017) who find U.S. economic policy uncertainty (EPU) is priced in the cross-section of U.S. stock returns, and uses weekly data from March 2006 to April 2016 to study whether shocks in U.S. EPU also influence prices of China's A-shares from a market, industry, and individual stock perspective. Our methodology relies on an ARMA (1,1) model to extract shocks in the U.S. EPU series and a GARCH (1,1) model to examine how returns of China's A-shares respond to these shocks after controlling for business conditions proxied by term and credit spread in China. Generally, we find that shocks in U.S. EPU significantly and negatively explain returns of Chinese A-shares with a lag of one week. In addition, the market index containing small and growth stocks is more sensitive to shocks in U.S. EPU than the index containing big and value stocks. Furthermore, we find that firms in manufacturing, information technology, and media industries in China are more sensitive to shocks in U.S. EPU, while firms in agriculture and real estate industries respond less to shocks in U.S. EPU. Finally, China's A-shares which decline more in response to shocks in U.S. EPU have higher returns, smaller market capitalization, weaker operating profitability, higher asset growth, and better past year's cumulative returns. Overall, our findings show that investors in the Chinese A-shares market require a premium to hold stocks that are sensitive to shocks in U.S. economic policy uncertainty.     

Stock returns,aggregate earnings surprises,and behavioral finance

We study the stock market's reaction to aggregate earnings news. Prior research shows that, for individual firms, stock prices react positively to earnings news but require several quarters to fully reflect the information in earnings. We find a substantially different pattern in aggregate data. First, returns are unrelated to past earnings, suggesting that prices neither underreact nor overreact to aggregate earnings news. Second, aggregate returns correlate negatively with concurrent earnings; over the last 30 years, for example, stock prices increased 5.7% in quarters with negative earnings growth and only 2.1% otherwise. This finding suggests that earnings and discount rates move together over time and provides new evidence that discount-rate shocks explain a significant fraction of aggregate stock returns.     

Information diffusion of upstream and downstream industry-wide earnings surprises and its implications

This study presents new evidence that industry-wide earnings surprises diffuse gradually across the supply chain at both industry and individual-firm levels. This evidence provides fundamental support for studies in the literature of gradual information diffusion, commonly using lagged returns as a proxy for information. To allow for the possibility that firms react differently to the industry-wide earnings surprises, this study measures how a stock’s returns respond to the part of its main customer or supplier industry’s lagged returns that are associated with earnings surprises. A long/short equity strategy that combines the firm’s response coefficient and the prior month’s main customer/supplier industry return is shown to be profitable. The strategy tends to select medium-sized firms across industries. Firms in the winner portfolio are more likely to have a positive earning response coefficient and to be less capital intensive and financially constrained. Winners also experience positive responses to both positive and negative shocks while losers experience negative responses to both types of shocks.     

Information Aggregation Bias and Samuelson's Dictum

Under the assumption of incomplete information, idiosyncratic shocks may not dissipate in the aggregate. An econometrician who incorrectly imposes complete information and applies the law of large numbers may be susceptible to information aggregation bias. Tests of aggregate economic theory will be misspecified even though tests of the same theory at the microlevel deliver the correct inference. A testable implication of information aggregation bias is “Samuelson's Dictum” or the idea that stock prices can simultaneously display “microefficiency” and “macroinefficiency;” an idea accredited to Paul Samuelson. Using firm-level data from the Center for Research in Security Prices, we present empirical evidence consistent with Samuelson's dictum. Specifically, we conduct two standard tests of the linear present value model of stock prices: a regression of future dividend changes on the dividend-price ratio and a test for excess volatility. We show that the dividend price ratio forecasts the future growth in dividends much more accurately at the firm level as predicted by the present value model, and that excess volatility can be rejected for most firms. When the same firms are aggregated into equal-weighted or cap-weighted portfolios, the estimated coefficients typically deviate from the present value model and “excess” volatility is observed; this is especially true for aggregates (e.g., S&P 500) that are used in most asset pricing studies. To investigate the source of our empirical findings, we propose a theory of aggregation bias based on incomplete information and segmented markets. Traders specializing in individual stocks conflate idiosyncratic and aggregate shocks to dividends. To an econometrician using aggregate data, these assumptions generate a rejection of the present value model even though individual traders are efficiently using their available information.     

STOCK MARKET CONSEQUENCES OF POLITICAL VIBRANCY

We define areas with strong geographic ties to powerful politicians as politically vibrant and show that they are characterized by greater value-relevant information generation and symptomatic of equity market segmentation. Political vibrancy entails greater levels of local bias and local comovement and has two important return predictability implications. First, it enhances local institutions’ informational advantages; their trades’ ability to forecast local stock returns exceeds that of nonlocal institutions. Second, in support of the view that information diffuses slowly into prices, stock returns of firms from politically vibrant areas predict returns of similar firms in other areas.     

Liquidity and Returns to Target Shareholders in the Market for Corporate Control: Evidence from the US Markets

In this paper we analyze how stock market liquidity affects the abnormal return to target firms in mergers and tender offers. We predict that target firms with poorer stock market liquidity receive larger announcement day abnormal returns based on the following considerations. First, target firms with poorer stock market liquidity receive greater liquidity improvements after a merger or tender offer. Second, deals that involve less liquid targets are less anticipated and/or more likely to be completed. Third, less liquid stocks have more diverse reservation prices across shareholders and thus require a higher takeover return. Consistent with these expectations, we show that abnormal returns to target firms’ shareholders are significantly and positively related to the difference in liquidity (measured by the bid‐ask spread) between acquirers and targets as well as the magnitude of target firms’ liquidity improvement.     

How do oil supply and demand shocks affect Asian stock markets?

This paper examines how oil market shocks affect Asian stock prices using the structural vector autoregression (VAR) approach. Global oil supply and demand shocks are disentangled using sign restrictions and elasticity bounds. Oil price increases are bad news only if the source is from oil-market-specific demand shifts. Northeast Asian stock markets are more resilient as investors’ expectation of continued economic growth outweighs the adverse effect of higher oil prices. Increased global economic activity also stimulates stock prices. Global oil shocks are more important in explaining variability in Asian stock returns compared with the United States, suggesting different dynamics in Asia.     

Commodity Prices and Stock Market Behavior in South American Countries in the Short Run

Using Geweke feedback measures, we present empirical evidence that largely supports the hypothesis that the stock markets of South American countries are highly affected by changes in commodity prices after controlling for changes in exchange rates, interest rates, and North American stock market changes. In total, six different Goldman Sachs commodity price indexes are tested against the unexplained variation in stock market returns for Argentina, Brazil, Chile, Colombia, Peru, and Venezuela, covering the period 1995-2007. The Argentinian, Brazilian, and Peruvian stock markets are significantly affected by changes in commodity prices the same day. Venezuela's stock market, however, does not react to changes in commodity prices, even including energy prices. Stock market returns for Chile show a contemporaneous relation with energy and metals prices, whereas Colombia's equity market is affected by price changes for agricultural and industrial metals. In all cases, we find a contemporaneous relation and no indication of a lead or lag relationship.     

The Intra-Industry Transfer of Information Inferred from Announcements of Corporate Security Offerings

This study investigates the extent to which information inferred by investors from initial announcements of corporate security offerings affects share prices in the capital markets. The empirical tests measure the response in the common stock prices of both firms announcing a security offering and non-announcing firms operating in the same industry. Small but significantly negative abnormal returns are shown by industry shares upon initial announcements of common stock, convertible debt, and straight debt public offerings. Such an industry response indicates that share prices incorporate an inside assessment of factors relevant to the valuation of an industry subset of firms.     

Do foreign investors insulate firms from local shocks? Evidence from the response of investable firms to monetary policy

Extant research shows that stock returns of investable firms are highly sensitive to foreign market and global information shocks, suggesting that having foreign investors might insulate investable firms from shocks to local fundamentals. Examining 24 emerging markets, we find that both investable and non-investable firms are sensitive to local monetary policy shocks. This allays the concern that emerging-market opening reduces the efficacy of local monetary policy. We also find that in 11 countries (46% of our country-sample), investable firms are more sensitive to local shocks than non-investable firms. Differences in leverage, stock liquidity, size, domestic product-market exposure, or industry cyclicality do not drive this finding.     

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.     

The behavior of stock returns in the mining industry following the Iraq war

The aim of this article is to characterize the dynamics of stock returns of 10 leading mining firms over a politically unstable period, marked by 9/11 and the subsequent invasion of Iraq. To that end, we analyze the evolution of return volatility over time, examine the dynamics of volatility persistence, and test for the presence of volatility shifts. We also examine whether volatility and trading volume obey the one-factor mixture-of-distribution hypothesis (MDH). Finally, we analyze whether the performance of mining stock returns may be influenced by the evolution of the energy sector. The results suggest that firms which belong to the same industry did not necessarily exhibit identical patterns of return volatility. Secondly, shocks to volatility and volume are in general dynamically asymmetric, which violates the one-factor MDH. Thirdly, the metals and minerals analyzed exhibited different degrees of dependency on energy prices.     

Family control and idiosyncratic volatility: Evidence from listed firms in Hong Kong

Family control of listed firms in Hong Kong is substantively different and materially higher than in the US which could offer different insights into the effects of family ownership on corporate transparency. Using a sample of listed Hong Kong firms and idiosyncratic volatility as a proxy for firm-specific stock price informativeness, we find that family firms exhibit higher idiosyncratic volatility of stock prices than similar non-family firms. Further, the relation between family ownership and idiosyncratic volatility is weaker for firms with higher leverage but stronger in periods before equity issues. Additionally, we find that family firms disclose more information, particularly related to operations, than nonfamily firms in annual reports. These results are consistent with the argument that family firms disclose more information than their nonfamily peers to reassure skeptical outside investors that they are not expropriating their investment.     

Entrepreneurial Wealth and Employment: Tracing Out the Effects of a Stock Market Crash

Using the dispersion in stock returns during the financial crisis as a source of exogenous variation in the wealth of Norwegian entrepreneurs who held listed stocks, I show that adverse shocks to the wealth of business owners had large effects on their firms' financing, employment, and investment. The effects on investment and employment are driven by young firms, that obtain differentially less bank financing following an owner wealth shock. The effects on employment operate primarily through reduced hiring. My findings highlight that equity-financing frictions and the procyclicality of entrepreneurial wealth are important channels that can amplify economic shocks.     

The real value of China’s stock market

What capital allocation role can China’s stock market play? Counter to perception, stock prices in China have become as informative about future profits as they are in the US. This rise in stock price informativeness has coincided with an increase in investment efficiency among privately owned firms, suggesting the market is aggregating information and providing useful signals to managers. However, price informativeness and investment efficiency for state-owned enterprises fell below that of privately owned firms after the postcrisis stimulus, perhaps reflecting unpredictable subsidies and state-directed investment policy. Finally, evidence from realized returns suggests Chinese firms face a higher cost of equity capital than US firms.     

Financially Constrained Stock Returns

We study the effect of financial constraints on risk and expected returns by extending the investment-based asset pricing framework to incorporate retained earnings, debt, costly equity, and collateral constraints on debt capacity. Quantitative results show that more financially constrained firms are riskier and earn higher expected stock returns than less financially constrained firms. Intuitively, by preventing firms from financing all desired investments, collateral constraints restrict the flexibility of firms in smoothing dividend streams in the face of aggregate shocks. The inflexibility mechanism also gives rise to a convex relation between market leverage and expected stock returns.     

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.