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.     

Uncertainty about Government Policy and Stock Prices

We analyze how changes in government policy affect stock prices. Our general equilibrium model features uncertainty about government policy and a government whose decisions have both economic and noneconomic motives. The model makes numerous empirical predictions. Stock prices should fall at the announcement of a policy change, on average. The price decline should be large if uncertainty about government policy is large, and also if the policy change is preceded by a short or shallow economic downturn. Policy changes should increase volatilities and correlations among stocks. The jump risk premium associated with policy decisions should be positive, on average.     

Expectations of future income and real exchange rate movements

We show that changes in expectations of future income driven by exogenous factors (such as the discovery of oil and an increase in global demand for natural resources) can cause movements in the real exchange rate (RER) in excess of, and sometimes even in the opposite direction to, what one would expect given the changes in current income. We provide both a theoretical model and empirical evidence of this. In particular, we show that the signing of numerous production sharing agreements (PSAs) between the government of Azerbaijan and foreign oil companies in 1994–1998 fueled expectations of higher future incomes, resulting in a considerable appreciation of the RER. Some of these PSAs subsequently failed or ran into difficulties, which led to a downward revision of expected future income and a depreciation of the RER in 1999–2003, even though the current income started to rise, due to an increase in the current oil revenue.     

Liquidity and valuation in an uncertain world

During the 2007–2009 financial crisis there was little or no trading in a variety of financial assets, even though bid and ask prices existed for many of these assets. We develop a model in which this illiquidity arises from uncertainty, and we argue that this new form of illiquidity makes bid and ask prices unsuitable as metrics for establishing “fair value” for these assets. We show how the extreme uncertainty that traders face can be characterized by incomplete preferences over portfolios, and we use Bewley's (2002) model of decision making under uncertainty to derive equilibrium quotes and the nonexistence of trading at these quotes. We then suggest alternatives for valuing assets in illiquid markets.     

Measuring Inflation Expectations Uncertainty Using High‐Frequency Data

Inflation expectations play a key role in determining future economic outcomes. The associated uncertainty provides a direct gauge of how well‐anchored the inflation expectations are. We construct a model‐based measure of inflation expectations uncertainty by augmenting a standard unobserved components model of inflation with information from noisy and possibly biased measures of inflation expectations obtained from financial markets. This new model‐based measure of inflation expectations uncertainty is more accurately estimated and can provide valuable information for policymakers. Using U.S. data, we find significant changes in inflation expectations uncertainty during the Great Recession.     

Analyzing interest rate risk: Stochastic volatility in the term structure of government bond yields

We propose a Nelson–Siegel type interest rate term structure model where the underlying yield factors follow autoregressive processes with stochastic volatility. The factor volatilities parsimoniously capture risk inherent to the term structure and are associated with the time-varying uncertainty of the yield curve’s level, slope and curvature. Estimating the model based on US government bond yields applying Markov chain Monte Carlo techniques we find that the factor volatilities follow highly persistent processes. We show that yield factors and factor volatilities are closely related to macroeconomic state variables as well as the conditional variances thereof.     

经济政策不确定性、声誉机制与信用评级

本文以2007-2019年我国企业债券为样本,采用有序Probit回归模型探讨经济政策不确定性对信用评级的影响,研究结果表明:(1)经济政策不确定性的增加会促使评级机构显著降低信用评级,这种影响因产权性质存在显著差异,而且在债券市场刚性兑付被打破后更为显著;(2)声誉机制对上述影响产生积极的调节效应,声誉受损或声誉水平较高的评级机构会更加谨慎地评估经济政策不确定性的影响效应。基于此,政府应合理管控政策的出台和调整以增强社会预期,监管机构要不断强化对评级机构的监管,促使评级机构提高信用评级的质量。     

Communicating Data Uncertainty: Multiwave Experimental Evidence for UK GDP

Economic statistics are commonly published without estimates of their uncertainty. We conduct two waves of a randomized controlled online experiment to assess if and how the UK public understands data uncertainty. A control group observes only the point estimate of GDP. Treatment groups are presented with alternative qualitative and quantitative communications of GDP data uncertainty. We find that most of the public understands that GDP numbers are uncertain. Quantitative communications of data uncertainty help align the public's subjective probabilistic expectations of data uncertainty with objective estimates, but do not decrease trust in the statistical office.     

Stock repurchases: How firms choose between a self tender offer and an open-market program

In practice, open-market stock repurchase programs outnumber self tender offers by approximately 10–1. This evidence is puzzling given that tender offers are more efficient in disbursing free cash and in signaling undervaluation – the two main motivations suggested in the literature for repurchasing shares. We provide a theoretical model to explore this puzzle. In the model, tender offers disburse free cash quickly but induce information asymmetry and hence require a price premium. Open-market programs disburse free cash slowly, and hence do not require a price premium, but because they are slow, result in partial free cash waste. The model predicts that the likelihood that a tender offer will be chosen over an open-market program increases with the agency costs of free cash and decreases with uncertainty (risk), information asymmetry, ownership concentration, and liquidity. These predictions are generally consistent with the empirical evidence.     

Measuring portfolio credit risk correctly: Why parameter uncertainty matters

Why should risk management systems account for parameter uncertainty? In addressing this question, the paper lets an investor in a credit portfolio face non-diversifiable uncertainty about two risk parameters – probability of default and asset-return correlation – and calibrates this uncertainty to a lower bound on estimation noise. In this context, a Bayesian inference procedure is essential for deriving and analyzing the main result, i.e. that parameter uncertainty raises substantially the tail risk perceived by the investor. Since a measure of tail risk that incorporates parameter uncertainty is computationally demanding, the paper also derives a closed-form approximation to such a measure.     

Monetary Policy Uncertainty and the Response of the Yield Curve to Policy Shocks

This paper studies the nonlinear response of the term structure of interest rates to monetary policy shocks and presents a new stylized fact. We show that uncertainty about monetary policy changes the way the term structure responds to monetary policy. A policy tightening leads to a significantly smaller increase in long-term bond yields if policy uncertainty is high at the time of the shock. We also look at the decomposition of bond yields into expectations about future policy and the term premium. The weaker response of yields is driven by the fall in term premia, which fall more strongly if uncertainty about policy is high. Conditional on a monetary policy shock, higher uncertainty about monetary policy tends to make securities with longer maturities relatively more attractive to investors. As a consequence, investors demand even lower term premia. These findings are robust to the measurement of monetary policy uncertainty, the definition of the monetary policy shock, and to changing the model specification.     

Accounting measures and international pricing models: Justifying accounting homogeneity

We study the importance of homogeneous accounting data when testing international versions of asset pricing models. Specifically, we focus on a pricing model commonly used by practitioners – the Fama–French three-factor model – which uses accounting information and has traditionally performed poorly at the cross-country level. We show that international versions of the model perform significantly better if the accounting information is homogeneous across firms. We apply the model to a set of firms that follow common accounting standards – the IAS/IFRS – and also to firms that have issued ADRs in the US – and therefore must report following both US GAAP and their own domestic standards. In both cases our results show that the accounting dimension is relevant: the use of homogeneous accounting measures allows for much higher goodness-of-fit of international versions of the three-factor model, at levels similar to those of domestic versions and superior to those of non-homogeneous versions. This suggests that further accounting homogeneity could lead to more accurate pricing and valuation of international assets and to an improvement of the efficiency of international fund allocation.     

Accounting information,disclosure, and expected utility: Do investors really abhor uncertainty?

Investors are said to “abhor uncertainty,” but if there were no uncertainty they could earn only the risk‐free rate. A fundamental result in the analytical accounting literature shows that investors buying into a CARA‐normal CAPM market pay lower asset prices, gain higher ex‐ante expected returns, and obtain higher expected utility, when the market payoff has higher variance. New investors obtain similar “welfare” gains from risk under a log/power utility CAPM. These results do not imply that investors “abhor information.” To realize investors' ex‐ante expectations, the subjective probability distributions representing market expectations must be accurate. Greater payoff risk can add to investors' expected utility, but higher ex‐post(realized) utility comes from better information and more accurate ex‐ante expectations. An important implication for accounting is that greater disclosure can have the simultaneous effects of (i) exposing more fully or perceptibly firms' payoff uncertainty, thereby increasing new investors' expected utility, and (ii) improving market estimates of firms' payoff parameters (means, variances, covariances), thereby giving investors a better chance of realizing their expectations. Paradoxically, better information can be valuable to new investors by exposing more fully and more accurately the risk in firms' business operations and results–new investors maximizing expected utility want both more risk and better information.     

Accounting for Risk and Return in Equity Valuation

Standard valuation models forecast cash flows or earnings, add a growth rate, and discount the cash flows to their present value with a discount rate that typically reflects the cost of capital. But as the author argues, projecting the long‐term growth rate is essentially speculative; and along with uncertainty about the growth rate, analysts generally do not have a good grasp of the discount rate either. Thus, instead of reducing uncertainty, these two features effectively compound uncertainty in valuations in the sense that slight changes in the growth rate or discount rate can change the valuation considerably. In this article, the author proposes an alternative approach that views the investor's problem as one of challenging the speculations that are built into the current market price, particularly the speculation about growth. Rather than building in a speculative growth rate (and thereby treating it as if it were a certainty), the author's approach turns the problem on its head by using an accounting analysis of the firm's current earnings and cash flows that provides a basis for recognizing the speculative component of the current stock price. More specifically, the author's analysis identifies the future earnings growth path that is implied by the market price, which can then be evaluated with the question: Do I want to pay for this growth? Because growth expectations are risky, additional analysis can be used to provide an understanding of the risk and return to buying growth, and of the upside and downside if risk growth expectations are not realized. By taking such an approach, investors incorporate their understanding of risk not by increasing the discount rate, but by recognizing that the primary risk in investing is the risk of overpaying for growth.     

Expected future earnings,taxation, and university enrollment

Taxation changes the expectations of prospective university students about their future level and uncertainty of after-tax income. To estimate the impact of taxes on university enrollment, we estimate a structural microeconometric model, in which a high-school graduate decides to enter university studies if expected lifetime utility from this choice is greater than that anticipated from starting to work right away. We estimate the ex-ante future paths of the expectation and variance of after-tax income for German high-school graduates, accounting for nonrandom selection. The enrollment model takes into account university dropout and unemployment risks. Consistently with expectations, the estimation results indicate that higher expected returns to a tertiary education increase the probability of university enrollment, whereas higher uncertainty among graduates decreases enrollment rates. A simulation based on the estimated model indicates that a revenue-neutral, flat-rate tax reform with an unchanged basic tax allowance would increase enrollment rates for men in Germany.     

Obstacles to a global banking system: “Old Europe” versus “New Europe”

“Old Europe” – the developed nations of continental Europe – averages only about 15% foreign bank ownership, whereas “New Europe” – the transition nations of Eastern Europe – averages about 70%. Similar findings hold elsewhere in the world – developed nations tend to have much lower foreign bank ownership shares than developing nations. We examine the causes of the differences within Europe with an eye toward more general conclusions. Our findings suggest that the low foreign bank shares in “Old Europe” – and perhaps developed nations more generally – may primarily result from net comparative disadvantages for foreign banks and relatively high implicit government entry barriers. The high foreign penetration in “New Europe” – and perhaps developing nations more generally – may be due to net comparative advantages for foreign banks and low government entry barriers, particularly in nations that reduced their state bank ownership.     

Governmentality in accounting and accountability: A case study of embedding sustainability in a supply chain

This paper examines how the introduction of sustainability accounting has been used by an organization as a means to seek to govern social, economic and environmental issues relating to suppliers. The concept of governmentality and four analytics of government are proposed as a means to examine systematic ways of exercising power and authority. This theoretical framework illuminates the specific rationales and practices of government that enable particular aspirations of reform – such as sustainability – to be constituted. The analysis is informed by the discussion of the implementation of sustainability-orientated regimes of practice in the context of a single supply chain within a major supermarket chain in the UK against the theoretical analytics of government. The paper provides novel empirical insights into how sustainability accounting shaped forms of power, rationales and practices in a supply chain. It explores the extent to which senior decision-takers frame and use sustainability accounting to foster disciplinary effects based ostensibly upon social and environmental goals. These are found in practice to be reformulated primarily according to an economic (rather than social or environmental) regime of practice.     

Political fragmentation and projected tax revenues: evidence from Flemish municipalities

The level of revenues pocketed by a government during the fiscal year often deviates from that projected by this government in its budget. Despite a flourishing literature on, for example, the technical or procedural determinants of such forecast errors, little is yet known about how political stratagems may affect forecast errors. In the present paper, we analyse whether differences in the level of government fragmentation are useful in explaining local government tax revenue forecast errors—controlling for various other factors. Using data on 242 Flemish municipalities for the period 1992–2002, we find that two-party governments are more optimistic than single-party governments. In contrast to our initial expectations, governments with at least three parties are significantly more careful (or less optimistic) in their revenue projections than single- or two-party governments.      

Safety-net benefits conferred on difficult-to-fail-and-unwind banks in the US and EU before and during the great recession

This paper investigates the links between regulatory arbitrage, financial instability, and taxpayer loss exposures. We model and estimate ex ante safety-net benefits from increased leverage and asset volatility at a sample of large banks in US and Europe during 2003–2008. Hypothesis tests indicate that, in both crisis and precrisis years, difficult-to-fail-and-unwind (DFU) banks enjoyed substantially higher ex ante benefits than other institutions. Compared to the US sample, safety-net benefits prove significantly larger for DFU firms in Europe and bailout decisions are less driven by asset size. Introducing a proxy for differences in government susceptibility to regulatory capture helps to explain bailout decisions in Europe. Our findings suggest that authorities in both venues could better contain safety-net benefits if they refocused their information systems on monitoring volatility as well as capital.     

Further analysis of the expectations hypothesis using very short-term rates

Longstaff [Longstaff, F., 2000. The term structure of very short-term rates: new evidence for the expectations hypothesis. Journal of Financial Economics 58, 397–415] finds support for the expectations hypothesis at the very short end of the repurchase agreement (repo) term structure while other studies find calendar-time-based regularities cause rejection of the expectations hypothesis. Using Longstaff’s methods on a sample of repo rates that pre-dates Longstaff’s sample, we reject the expectations hypothesis for every maturity. The pre-Longstaff-sample repo data comes from a time period where the behavior of short-term interest rates is similar to the long-run average behavior of short-term interest rates. Our results imply that expectations hold when rates are less volatile and/or that we may be entering a period of lower volatility.