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.     

Detecting news in aggregate accounting earnings: implications for stock market valuation

How much news is there in aggregate accounting earnings? I provide evidence that earnings changes at the stock market level are correlated with new information about not only expected future cash flows but also discount rates. A comprehensive investigation of the link to discount rates reveals that aggregate earnings changes are tied to news about all components of the expected future stock market return, i.e., the real riskless rate, expected inflation, and the expected equity risk premium. Over the sample period studied, cash flow news and discount rate news in aggregate earnings changes covary positively and have offsetting impacts on stock market prices. As a result, stock market prices appear to be insensitive to aggregate earnings changes. The findings highlight the importance of separating cash flow news from discount rate news when evaluating the information content of accounting earnings at the stock market level. Overall, my study sheds new light on the informativeness and relevance of accounting earnings for valuation at the stock market level.     

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.     

Discount rate changes,stock market returns,volatility, and trading volume: Evidence from intraday data and implications for market efficiency

We examine the effect of discount rate changes on stock market returns, volatility, and trading volume using intraday data. Equity returns generally respond negatively and significantly to the unexpected announcements; however, the effect of expected changes on equity returns is insignificant. Furthermore, our results indicate that equity prices respond to announcements within the trading period/hour after the information release. An indication of a return reversal is too small to cover the full transaction costs. Unexpected discount rate changes also contribute to higher market volatility although the volatility is short-lived. Similarly, unexpected changes in discount rates induce larger trading volume while expected changes do not. Abnormal trading volume occurs only in period t. Our results also support the notion that unexpected changes in the discount rates impact market returns irrespective of the Federal Reserve operating procedures.     

How to Discount Cashflows with Time-Varying Expected Returns

While many studies document that the market risk premium is predictable and that betas are not constant, the dividend discount model ignores time‐varying risk premiums and betas. We develop a model to consistently value cashflows with changing risk‐free rates, predictable risk premiums, and conditional betas in the context of a conditional CAPM. Practical valuation is accomplished with an analytic term structure of discount rates, with different discount rates applied to expected cashflows at different horizons. Using constant discount rates can produce large misvaluations, which, in portfolio data, are mostly driven at short horizons by market risk premiums and at long horizons by time variation in risk‐free rates and factor loadings.     

Cash Flows and Discount Rates,Industry and Country Effects and Co‐Movement in Stock Returns

We apply the Campbell decomposition to industry‐by‐country, national, global industry, and world stock index returns using 1995–2003 data. World, global industry, and country factors are all important for each of the two key components of stock returns: news about future dividends and news about future discount rates. Furthermore, the world component of future discount rates is more important than the idiosyncratic component, while the reverse is true for news about future dividends. Our results are broadly consistent with co‐movement in future discount rates arising from perceptions of common elements of risk in international equity markets.     

REIT Stock Prices with Inflation Hedging and Illusion

Employing dividend yield decomposition, this paper explores the inflation illusion and inflation hedging effects on REIT stock prices. Results show that changes in expected inflation explain a large share of the time series variation of the mispricing component of the dividend yield. Also, while both inflation hedging and inflation illusion effects exist for REITs, the inflation illusion effect tends to dominate the hedging effect during the 1980 to 2008 period. These results suggest that investors are unable to quickly reconcile changes in discount rates and dividend growth rates associated with inflation into stock prices. The findings also provide an alternative explanation as to why short-term REIT returns are often negatively related to expected inflation.     

What Drives Firm‐Level Stock Returns?

I use a vector autoregressive model (VAR) to decompose an individual firm's stock return into two components: changes in cash-flow expectations (i.e., cash-flow news) and changes in discount rates (i.e., expected-return news). The VAR yields three main results. First, firm-level stock returns are mainly driven by cash-flow news. For a typical stock, the variance of cash-flow news is more than twice that of expected-return news. Second, shocks to expected returns and cash flows are positively correlated for a typical small stock. Third, expected-return-news series are highly correlated across firms, while cash-flow news can largely be diversified away in aggregate portfolios.     

Do Accruals Drive Firm‐Level Stock Returns? A Variance Decomposition Analysis

This paper extends the variance decomposition framework of Campbell [1991], Campbell and Ammer [1993], and Vuolteenaho [2002] to address the relative value relevance of accrual news, cash flow news, and expected-return news in driving firm-level equity returns. The extension is based on the Feltham-Ohlson [1995, 1996] clean surplus relations. Using three models, this study shows that all three factors, accruals, cash flows, and expected future discount rates are value relevant. Moreover, accrual news is found to significantly dominate expected-return news in driving firm-level stock returns. Operating income news is also found to significantly dominate both expected-return news and free cash flow news in driving firm-level stock returns. Furthermore, after splitting net income into cash flow and accrual earnings components in the Vuolteenaho model, accrual earnings news and cash flow earnings news are found to equally drive firm-level stock returns and to dominate expected-return news. Further disaggregation of the data yields some evidence that accrual earnings news is a more important factor than cash flow earnings news in driving current stock returns. Overall, the three models indicate that changes in expected future accruals are a primary driver, if not the primary driver, of current stock returns.     

The Fiscal and Monetary Linkage between Stock Returns and Inflation

Contrary to economic theory and common sense, stock returns are negatively related to both expected and unexpected inflation. We argue that this puzzling empirical phenomenon does not indicate causality. Instead, stock returns are negatively related to contemporaneous changes in expected inflation because they signal a chain of events which results in a higher rate of monetary expansion. Exogenous shocks in real output, signalled by the stock market, induce changes in tax revenue, in the deficit, in Treasury borrowing and in Federal Reserve “monetization” of the increased debt. Rational bond and stock market investors realize this will happen. They adjust prices (and interest rates) accordingly and without delay. Although expected inflation seems to have a negative effect on subsequent stock returns, this could be an empirical illusion, since a spurious causality is induced by a combination of: (a) a reversed adaptive inflation expectations model and (b) a reversed money growth/stock returns model. If the real interest rate is not a constant, using nominal interest proxies for expected inflation is dangerous, since small changes in real rates can cause large and opposite percentage changes in stock prices.     

How Did the 2003 Dividend Tax Cut Affect Stock Prices?

We test the hypothesis that the 2003 dividend tax cut boosted US stock prices and thereby lowered the cost of equity capital. Using an event‐study methodology, we attempt to identify an aggregate stock market effect by comparing the behavior of US common stock prices with that of foreign equities and the equities of real estate investment trusts (REITs). We also examine the relative cross‐sectional response of prices of high‐ and low‐dividend‐paying stocks. We do not find any imprint of the dividend tax cut news on the value of the aggregate US stock market. On the other hand, high‐dividend stocks outperformed low‐dividend stocks by a few percentage points over the event windows, suggesting that the tax cut may have induced asset reallocation within equity portfolios. Finally, the positive abnormal return on nondividend paying US stocks in 2003 does not appear to be tied to tax cut news.     

Earnings, cashflows and returns: Functional relations and the impact of firm size

The relation between stock returns, earnings and cashflows is of importance because it directly addresses the issue of whether accounting data provide value relevant information. The empirical evidence to date, however, has documented low explanatory power for earnings and inconclusive incremental information content for cashflows. This research re-evaluates the incremental information content debate using Australian data. Our research is motivated by: recent innovations in research design, including the specification of nonlinear functional relations between accounting variables and prices, and the fact that differences in firm size characteristics may influence the relative information content of the accounting variables. We observe that: (i) a nonlinear functional relation provides greater explanatory power for both earnings and cashflows;(ii) the results are consistent with more transitory earnings components for smaller firms; and (iii) contrary to received theory, cashflows add greater incremental explanatory power for large firms.     

Resources,real options,and corporate strategy

The types of investments a firm undertakes will depend in part on what it expects the outcome of those investments to reveal about its skills, capabilities, and assets (i.e., its resources). We predict that a firm will specialize when young, then experiment in a new line of business for some time, and then either expand into a large, multisegment business or focus and scale up its specialized business. We derive several empirical implications for firm valuations and the reaction of stock prices to news about firm prospects. We also offer a novel explanation for the well-documented “diversification” discount.     

Long‐Term Evidence on the Effect of Aggregate Earnings on Prices

We examine the time‐series properties and determinants of the relation between aggregate earnings information and stock prices (aggregate earnings response coefficient or AERC) employing return decompositions with data since 1871. We confirm that AERC is negative even though firms respond positively to individual firm earnings information, but we also find that AERC is time varying. Furthermore, we show that AERC components based on expected earnings, cash flows, and discount rates are also time varying and differ in relative importance.     

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.     

Average Returns,B/M,and Share Issues

The book‐to‐market ratio (B/M) is a noisy measure of expected stock returns because it also varies with expected cashflows. Our hypothesis is that the evolution of B/M, in terms of past changes in book equity and price, contains independent information about expected cashflows that can be used to improve estimates of expected returns. The tests support this hypothesis, with results that are largely but not entirely similar for Microcap stocks (below the 20^th NYSE market capitalization percentile) and All but Micro stocks (ABM).     

Net Asset Value Discounts for Asian-Pacific Real Estate Companies: Long-Run Relationships and Short-Term Dynamics

This study investigates the time series behavior of real estate company net asset value discount/premium (NAVDISC) in eight Asian-Pacific securitized real estate markets from 1995 to 2003. We postulate that if there is a stable NAVDISC for real estate companies in the long-run, then there should be a long-run cointegrating relation between their stock prices (Ps) and net asset values (NAVs). Employing panel data cointegration econometrics that comprises three approaches; panel unit root test, heterogeneous panel cointegration test and dynamic panel error-correction modeling (ECM), we find that long run NAVDISCs persist in individual Asian-Pacific securitized real estate markets and the regional market. All the NAVDISCs exhibit mean reversion and that the respective disequilibrium errors fluctuate around the mean values. Moreover, NAV is an important factor that statistically explains the price variations in real estate stock prices regardless of their speed of mean-reversion in the NAV discount /premium.     

What Moves Investment Growth?

We use accounting identities to decompose unexpected changes in investment growth into surprises to current cash‐flow growth and stock returns, and revisions of expectations about future cash‐flow growth and future discount rates. Using a vector autoregressive model we find that current cash‐flow surprises account for the largest element of the variance decomposition. Investment growth and current cash‐flow surprises are negatively correlated with news about future cash‐flow growth, which can be expected from persistent productivity shocks and decreasing returns to scale. We find little evidence of a discount rate channel for investment since return terms are small and have unintuitive signs.     

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.     

Twitter activity,investor attention,and the diffusion of information

We examine the impact of Twitter attention on stock prices by examining over 21 million company‐specific tweets over a 5‐year period. Through a quasi‐natural experiment identifying official Twitter outages, we find that Twitter influences stock trading, especially among small, less visible securities primarily traded by retail investors. In addition, we determine that Twitter activity is associated with positive abnormal returns and when tweets occur in conjunction with traditional news events, more information is spread to investors. Finally, we show that retail investor activity drives the Twitter effect as institutional investors less actively trade the affected stocks.