WHEN ELECTIONS FAIL TO RESOLVE UNCERTAINTY: THE CASE OF THE 2016 U.S. PRESIDENTIAL ELECTION

In this article, we examine whether certain political election outcomes create, rather than resolve, uncertainty in financial markets. We posit that the market uncertainty associated with unanticipated election outcomes is not resolved before or on the election dates. To test this claim, we use the surprise outcome of the 2016 U.S. presidential election and two previous U.S. presidential elections as benchmarks. In contrast to prior elections, we find that the 2016 U.S. presidential election outcome did not resolve market uncertainty. Specifically, we show significant increases in transactions costs, adverse selection costs, and volatility in the days following the election date. We contribute to the literature by suggesting that unexpected elections can engender, rather than resolve, market uncertainty.     

Aggregate Earnings and Corporate Bond Markets

I examine the previously unexplored relation between aggregate earnings changes and corporate bond market returns. I find that aggregate earnings changes have a negative relation to investment‐grade corporate bond market returns and a positive relation to high‐yield corporate bond market returns. The aggregate earnings‐returns relation is lower (i.e., less positive or more negative) for bonds with higher credit ratings and longer maturities. Further, I show that the aggregate earnings‐returns relation is driven by both the expected and the news component of aggregate earnings changes. The expected component is negatively related to expected returns, and the news component is positively related to cash flow news and changes in nominal interest rates, and negatively related to changes in default premia. My results contribute to the understanding of the role of earnings in corporate bond markets as well as the macroeconomic role of accounting information.     

Conditional conservatism and disaggregated bad news indicators in accrual models

Conditional conservatism is an integral but often unmodeled part of the normal accrual process. The standard economic determinants of accruals contain information about unrealized losses. We argue that accountants recognize these unrealized losses as disaggregated write-downs for small asset pools. Modeling disaggregated impairments yields new economic insights about accruals and improved accrual models. We predict that accrual conservatism manifests as a sum of asymmetries for a vector of news indicators, rather than as an asymmetry for a scalar aggregate news proxy. We argue that more detailed segment-level and quarterly indicators have an incremental effect on annual firm-level accruals. We also predict a dynamic effect of successive loss indicators because accountants look for consistent patterns in these variables. Empirical results for U.S. firms support our predictions. The asymmetries in accruals are consistent with conservatism in validation tests. We also document improved statistical power and type I error in earnings management tests.     

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.     

PRESIDENTIAL ELECTION UNCERTAINTY AND COMMON STOCK RETURNS IN THE UNITED STATES

There is substantial evidence on the influence of political outcomes on the business cycle and stock market. We further hypothesize that uncertainty about the outcome of a U.S. presidential election should be reflected in pre‐election common stock returns. Prior research pools returns based on the party of the winning candidate, assuming that the outcome of the election is known a priori. We use candidate preference (i.e., polling) data to construct a measure of election uncertainty. We find that if the election does not have a candidate with a dominant lead, stock market volatility (risk) and average returns rise.     

Aggregate Market Reaction to Earnings Announcements

This analysis identifies a distinct immediate announcement period negative relation between earnings announcement surprises and aggregate market returns. Such a relation implies that market participants use earnings information in forming expectations about expected aggregate discount rates and, specifically, that good earnings news is associated with a positive shock to required returns. Consistent with this interpretation we find that Treasury bond rates and implied future inflation expectations respond directly to earnings news. We also find some evidence that the negative relation between earnings news and market return persists beyond the immediate announcement period, suggesting that market participants do not immediately fully impound these future market return implications of aggregate earnings news.     

Pushing the future back: The impact of policy uncertainty on the market pricing of future earnings

We examine whether policy uncertainty triggered by presidential elections pushes the future back by reducing the extent to which current prices reflect information about future earnings. We estimate future earnings response coefficients (FERCs) for the years 1975–2013, a period that covers ten presidential elections. We find that FERCs are significantly lower (by 11.8%) during presidential election years compared to other years. Additional analyses using pseudo election years, ex‐ante polls, contract prices from the Iowa Electronic Political Market, and cross‐sectional firm characteristics provide corroborating evidence that the lower FERCs during election years are related to policy uncertainty. We also investigate potential explanations for the lower FERCs during election years. We find that the lower FERCs relate to forecasting difficulty rather than to changes in the discount rate or in the amount of noise trading. Finally, we find that market prices move toward future earnings to a greater degree during presidential election years compared with other years once the policy uncertainty is resolved. A trading strategy based on this drift yields significant abnormal returns. Overall, we contribute to the literature by providing the first empirical evidence that shocks to policy uncertainty influence the pricing of earnings information.     

US presidential elections and implied volatility: The role of political uncertainty

This paper focuses on the effects of political uncertainty and the political process on implied stock market volatility during US presidential election cycles. Using monthly Iowa Electronic Markets data over five elections, we document that stock market uncertainty, as measured by the VIX volatility index, increases along with positive changes in the probability of success of the eventual winner. The association between implied volatility and the election probability of the eventual winner is positive even after controlling for changes in overall election uncertainty. These findings indicate that the presidential election process engenders market anxiety as investors form and revise their expectations regarding future macroeconomic policy.     

Investor Attention and Earnings Management around the World

This study examines the determinants of earnings management in an international setting using the limited investor attention model of Hirshleifer and Teoh ( 2003 ). The model predicts that investor attention reduces earnings management. I use analyst following, institutional ownership, and Big N auditor choice to proxy for investor attention. I have four key findings. First, I document that financial analysts curb earnings management in U.S. firms but not in non‐U.S. firms. Second, I document that institutional block‐holdings curb earnings management across the world. Third, Big N auditors reduce earnings management in U.S. firms but not in non‐U.S. firms. Fourth, I document that corporate governance mechanisms reduce earnings management in U.S. firms but not in non‐U.S. firms.     

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.     

What Do Management Earnings Forecasts Convey About the Macroeconomy?

We decompose quantitative management earnings forecasts into macroeconomic and firm‐specific components to determine the extent to which voluntary disclosure provided by management has macroeconomic information content. We provide evidence that the forecasts of bellwether firms, which are defined as firms in which macroeconomic news explains the greatest amount of variation in the forecasts, provide timely information to the market about the macroeconomy when bundled with earnings announcements. Further, we show that bellwether firms provide timely information about both industry‐specific events and broader economic events. Finally, we document that the macroeconomic news in individual forecasts is more pronounced for bad news and point forecasts.     

Aggregate Dividend Behavior and Permanent Earnings Hypothesis

The study examines the aggregate dividend behavior of U.S. corporations based on the permanent earnings hypothesis. Using annual data of aggregate earnings and dividends from 1871–1993, I find that although managers change dividends proportional to permanent earnings changes, they make revisions with a larger percentage change in dividends than in permanent earnings. The results from the post‐war data show that firms follow a partial adjustment policy with a long‐term dividend payout target in mind and make revisions with a delay. The quarterly data analysis yields results similar to those of the post‐war annual data.     

How Representative Are Firms That Are Cross‐Listed in the United States? An Analysis of Accounting Quality

We provide evidence on the characteristics of local generally accepted accounting principles (GAAP) earnings for firms cross‐listing on U.S. exchanges relative to a matched sample of foreign firms currently not cross‐listing in the United States to investigate whether U.S. listing is associated with differences in accounting data reported in local markets. We find that cross‐listed firms differ in terms of the time‐series properties of earnings and accruals, and the degree of association between accounting data and share prices. Cross‐listed firms appear to be less aggressive in terms of earnings management and report accounting data that are more conservative, take account of bad news in a more timely manner, and are more strongly associated with share price. Furthermore, the differences appear to result partially from changes around cross‐listing and partially from differences in accounting quality before listing. We do not observe a similar pattern for firms cross‐listed on other non‐U.S. exchanges or on the U.S. over‐the‐counter market, suggesting a unique quality to cross‐listing on U.S. exchanges.     

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.     

Economic policy uncertainty and bank earnings opacity

Using a sample of U.S. banks and an index for economic policy uncertainty developed by Baker et al. (2016), we investigate whether economic policy uncertainty is systematically related to bank earnings opacity. When economic policy is relatively uncertain, it is easier for bank managers to distort financial information, as unpredictable economic policy changes make assessing the existence and impact of hidden “adverse news” more difficult for investors and creditors. Economic policy uncertainty also increases the fluctuation in banks’ earnings and cash flows, thus providing additional incentives and opportunities for bank managers to engage in earnings management. Our results show that uncertainty in economic policy is positively related to earnings opacity, proxied by the magnitude of discretionary loan loss provisions and the likelihood of just meeting or beating the prior year’s earnings, and negatively related to the level of accounting conservatism (i.e., the timeliness of recognition of bad news relative to good news). Collectively, our results suggest that economic policy uncertainty leads to greater earnings opacity. We also find that the impact of economic policy uncertainty on financial reporting distortion is less pronounced for stronger banks (i.e., banks with high capital ratios).     

Stock Prices,Earnings, and Expected Dividends

Long historical averages of real earnings help forecast present values of future real dividends. With aggregate U.S. stock market data (1871–1986), a vector-autoregressive forecast of the present value of future dividends is, for each year, roughly a weighted average of moving-average earnings and current real price, with between two thirds and three fourths of the weight on the earnings measure. We develop the implications of this for the present-value model of stock prices and for recent results that long-horizon stock returns are highly forecastable.     

Accruals and the Conditional Equity Premium

Accruals correlate closely with the determinants of the conditional equity premium at both the firm and the aggregate levels. The common component of firm‐level accruals, which cannot be diversified away by aggregation, explains the positive relation between aggregate accruals and future stock market returns. The residual component, which accounts for most variation in firm‐level accruals, is responsible for the negative cross‐sectional relation between firm‐level accruals and future stock returns. Consistent with the risk‐based explanation, aggregate accruals, as a proxy for the conditional equity premium, forecast changes in aggregate economic activity. Moreover, we document a similar comovement of earnings with the conditional equity premium at both the firm and the aggregate levels, which helps explain the negative relation between changes in aggregate earnings and contemporaneous market returns.     

Personal Experiences and Expectations about Aggregate Outcomes

Using novel survey data, we document that individuals extrapolate from recent personal experiences when forming expectations about aggregate economic outcomes. Recent locally experienced house price movements affect expectations about future U.S. house price changes and higher experienced house price volatility causes respondents to report a wider distribution over expected U.S. house price movements. When we exploit within‐individual variation in employment status, we find that individuals who personally experience unemployment become more pessimistic about future nationwide unemployment. The extent of extrapolation is unrelated to how informative personal experiences are, is inconsistent with risk adjustment, and is more pronounced for less sophisticated individuals.     

How efficient is the market for Australian firms’ earnings information?

We construct a measure of the speed with which forecasts issued by sell-side analysts accurately forecast future annual earnings. Following Marshall, we label this measure earnings information flow timeliness (EIFT). This measure avoids the aggregation problem inherent in price-based measures of information efficiency. We document large variation in EIFT across firm-years, and show that EIFT is positively associated with the extent of analyst following, consistent with increased analyst coverage improving the speed with which earnings-related information is recognised. We also find that EIFT is higher for firm-years classified as ‘bad news’ (i.e., where analysts’ forecasts at the start of the financial period exceed the reported outcome). However, when we separately consider instances where analysts appear to forecast non-GAAP (or ‘street’) earnings rather than GAAP earnings, we find that the greater timeliness of bad news is concentrated among observations where analysts forecast non-GAAP earnings, where unusual items are typically excluded. We conclude that the market for accounting information is more efficient for negative operating outcomes than for negative outcomes reflecting unusual items.     

U.S. industrial policy: inevitable and ineffective

In the realm of political economy, much of the 1980s in the United States was spent debating the pros and cons of industrial policy. According to Kevin P. Phillips, the debate is now over. Regardless of who wins the 1992 presidential election, the United States will have some kind of industrial policy--but not the one it needs. In "U.S. Industrial Policy: Inevitable and Ineffective," Phillips details the economic and political forces that are propelling the U.S. toward industrial policy--and the forces that will keep the policy from being effective.