Firms in financial distress: evidence from inter-firm payment networks with volatility driven by ‘animal spirits’

This paper elaborates an agent-based model of a pure market economy to provide theoretical evidence on how volatility-induced changes in inter-firm payment networks affect the financial distress of firms. This volatility is driven by ‘animal spirits’ in that it arises from the feelings of optimism/pessimism independently of rational decision-making, and influences the liquidity available to each firm through the inter-firm payment network; consequently, some firms may enter financial distress. The model first determines the inter-firm payment network. Then, a mean-reverting square-root process introduces volatility into the inter-firm payment network through firms’ propensity to pay suppliers according to the payments that firms expect to receive from customers. The model is calibrated for compatibility with relevant macro- and microeconomic stylized facts. According to computational experiments, financial distress in the business sector is minimized when feelings of optimism/pessimism generate the lowest volatility in firms’ propensity to pay suppliers. In addition, this volatility must materialize around an intermediate value of firms’ propensity to pay suppliers, and firms must keep this intermediate value over time.

     

Sentiment and the U.S. business cycle

Psychological factors are commonly believed to play a role on cyclical economic fluctuations, but they are typically omitted from state-of-the-art macroeconomic models.This paper introduces “sentiment” in a medium-scale DSGE model of the U.S. economy and tests the empirical contribution of sentiment shocks to business cycle fluctuations.The assumption of rational expectations is relaxed. The paper exploits, instead, observed data on expectations in the estimation. The observed expectations are assumed to be formed from a near-rational learning model. Agents are endowed with a perceived law of motion that resembles the model solution under rational expectations, but they lack knowledge about the solution’s reduced-form coefficients. They attempt to learn those coefficients over time using available time series at each point in the sample and updating their beliefs through constant-gain learning. In each period, however, they may form expectations that fall above or below those implied by the learning model. These deviations capture excesses of optimism and pessimism, which can be quite persistent and which are defined as sentiment in the model. Different sentiment shocks are identified in the empirical analysis: waves of undue optimism and pessimism may refer to expected future consumption, future investment, or future inflationary pressures.The results show that exogenous variations in sentiment are responsible for a sizable (above forty percent) portion of historical U.S. business cycle fluctuations. Sentiment shocks related to investment decisions, which evoke Keynes’ animal spirits, play the largest role. When the model is estimated imposing the rational expectations hypothesis, instead, the role of structural investment-specific and neutral technology shocks significantly expands to capture the omitted contribution of sentiment.     

Re-examining risk premiums in the Fama–French model: The role of investor sentiment

This paper reconstructs the Fama–French three-factor (F–F) model as a panel smooth transition regression (PSTR) framework to investigate the differentiated effects of investor sentiment proxies-the volatility index (VIX), credit default swap (CDS), and TED spread-on the three risk premiums. Sample period spans from 2003: 1Q to 2013: 4Q. Sample objects are 58 semiconductor companies listed on Taiwan Security Exchange Corporation. The empirical results report that stock returns display a nonlinear path, and the three risk premiums are time-varying, depending on different proxies of investor sentiment in different regimes. Market premiums fall as investors in stock markets show extreme optimism or extreme pessimism. Except in rare situations, the size premium is significant and decreases with the increase in the VIX. Returns in holding growth stocks dominate holding value stocks when the investors show extreme pessimism or optimism. However, in normal sentiment of investment, value stocks earn more returns than growth stocks.     

Studying organizations as temporary

This article reflects upon the methodological pessimism that sometimes plagues students of organizations. In particular pessimism seems to strike us when we try to get to grips with the incessant transformations of organizations—transformations that seem to occur at such great speed. Our immediate reaction to Heraclitus’ statement that: “You cannot step twice into the same river” is that it has considerable methodological relevance. However, we contend that his metaphor in its orthodox version leads to too narrow a view. An elaboration of the metaphor could perhaps reduce the pessimism regarding organizational studies by promoting a focus on contextual aspects. Moreover, changes and transformations in themselves do not necessarily represent a stumbling block for the researcher. Rather studying crucial projects provides a means for studying the mechanisms at work in the host organization. The resulting approach—contextualization in a broad sense—relieves researchers of some of their pessimism, maybe even inspires optimism, by raising new questions: not only “what can be said?” (about the organization), but also “in what contexts?” and “about what manifestations in those contexts?” The article concludes with some remarks on the scarcity of the contextualization approach for studying organizations as temporary phenomena.     

is a russian economic miracle in sight?

Despite the almost universal pessimism, are there any grounds for optimism about the future of the Russian economy? Linda Whetstone, economist and farmer, found in a visit to the Russian countryside much of the pessimism misplaced. The Russian recovery is already taking place.     

Are risk‐averse agents more optimistic? A Bayesian estimation approach

Our aim is to analyze the link between optimism and risk aversion in a subjective expected utility setting and to estimate the average level of optimism when weighted by risk tolerance. Its estimation leads to a non‐trivial statistical problem. We start from a large lottery survey (1536 individuals). We assume that individuals have true unobservable characteristics. We adopt a Bayesian approach and use a hybrid MCMC approximation method to numerically estimate the distributions of the unobservable characteristics. We find that individuals are on average pessimistic and that pessimism and risk tolerance are positively correlated. Copyright © 2008 John Wiley & Sons, Ltd.     

Optimal fiscal policy under learning

This paper characterizes optimal fiscal policy when agents learn about future taxation. A benevolent and fully rational government chooses taxes on labor income and state-contingent bonds to finance public spending, considering that private agents form their expectations through a learning algorithm. Facing a trade-off between distortionary taxes and distorted expectations, the Ramsey planner chooses the policy that minimizes the total cost of distortions. The analysis produces two main results. First, the government will use fiscal variables to manipulate expectations, reducing taxes and issuing debt at times of pessimism and doing the opposite at times of optimism. This speeds up learning. Second, the expectation-dependent fiscal plan is also history-dependent, and it prescribes taxes that are not as smooth and more persistent than under rational expectations. These findings are robust to alternative learning algorithms.     

上市公司年报语调操纵、非效率投资与盈余管理

基于行为财务理论和委托代理理论，研究了管理者文本信息操纵和数字信息操纵之间的关系。以我国2010—2016年间A股上市公司年报为研究对象，借助网络爬虫（Web Crawler）提取并分析年报中的管理层语调。研究发现：管理者在年报中的语调操纵对盈余管理起到了配合作用。进一步研究发现，语调操纵对盈余管理的配合效应将随着非效率投资程度的增加而增强。研究结论表明，管理者的数字信息操纵和文本信息操纵是相互配合的，它们共同起到了掩盖管理者动机的目的。     

Policy change and learning in the RBC model

What is the impact of surprise and anticipated policy changes when agents form expectations using adaptive learning rather than rational expectations? We examine this issue using the standard stochastic real business cycle model with lump-sum taxes. Agents combine knowledge about future policy with econometric forecasts of future wages and interest rates. Dynamics under learning can have large impact effects and a gradual hump-shaped response, and tend to be prominently characterized by oscillations not present under rational expectations. These fluctuations reflect periods of excessive optimism or pessimism, followed by subsequent corrections.     

Optimal lottery

This article proposes an equilibrium approach to lottery markets in which a firm designs an optimal lottery to rank-dependent expected utility (RDU) consumers. We show that a finite number of prizes cannot be optimal, unless implausible utility and probability weighting functions are assumed. We then investigate the conditions under which a probability density function can be optimal. With standard RDU preferences, this implies a discrete probability on the ticket price, and a continuous probability on prizes afterwards. Under some preferences consistent with experimental literature, the optimal lottery follows a power-law distribution, with a plausibly extremely high degree of prize skewness.     

Forecast persistence and clustering: Additional evidence

This study intends to address the persistence of the bias in analysts’ earnings forecasts and clustering effects of time, industry classification, and stock exchange listing. Following Kwag and Shrieves (2006), I use a look-back portfolio formation method that captures salient features of analysts’ past forecasting behavior and form quintile portfolios that describe the range of analysts’ forecasting behavior. Consistent with Kwag and Shrieves, empirical evidence suggests that analyst optimism and pessimism tend to persist. Time, industry classification, and stock exchange listing do not seem to influence such phenomenon. (JEL G14, G19)     

Image differentiation and locational proximity among retail firms

Hotelling's (1929) classic paper gave rise to a voluminous literature and founded a controversy concerning the validity of the Principle of Minimum Differentiation (PMD). This research has produced conflicting theoretical results and inconsistencies between theory and empirical observations of retail competition. This paper develops a theory of market behavior that encompasses the extent and direction of customer loyalties, the multiplicity of chains and stores, and three forms of competitive expectations. Under conditions of shared competitive expectations, competitive pessimism, and competitive optimism, it provides a theoretical test of PMD and an explanation for the prevalence of spatial proximity and the differentiation of images in retail competition.     

Asset pricing with expectation shocks

This paper adds persistent shocks into the adaptive learning expectation formation process in stochastic growth asset pricing production and endowment economies. These expectation shocks, designed to capture psychological elements which can arise from news, changes in sentiment, herding and bandwagon effects, generate waves of optimism and pessimism in equity price forecasts. The paper estimates parameters of the expectation shock and adaptive learning process with the method of simulated moments, and compares simulation results to U.S. economic and financial market stylized facts. Numerical results for both the estimated production and endowment economies show that the expectation shock model matches several of the stylized facts better than does a model that assumes rational expectations or adaptive learning alone.     

Efficient allocations and equilibria with short-selling and incomplete preferences

This paper reconsiders the theory of existence of efficient allocations and equilibria when consumption sets are unbounded below under the assumption that agents have incomplete preferences. Our model is motivated by an example in the theory of assets with short-selling where there is risk and ambiguity. Agents have Bewley’s incomplete preferences. As an inertia principle is assumed in markets, equilibria are individually rational. It is shown that a necessary and sufficient condition for the existence of an individually rational efficient allocation or of an equilibrium is that the relative interiors of the risk adjusted sets of probabilities intersect. The more risk averse, the more ambiguity averse the agents, the more likely is an equilibrium to exist. The paper then turns to incomplete preferences represented by a family of concave utility functions. Several definitions of efficiency and of equilibrium with inertia are considered. Sufficient conditions and necessary and sufficient conditions are given for the existence of efficient allocations and equilibria with inertia.     

Monetary policy transmission in a model with animal spirits and house price booms and busts

Can monetary policy trigger pronounced boom-bust cycles in house prices and create persistent business cycles? We address this question by building heuristics into an otherwise standard DSGE model. As a result, monetary policy sets off waves of optimism and pessimism (“animal spirits”) that drive house prices, that, in turn, have strong repercussions on the business cycle. We compare our findings to a standard model with rational expectations by means of impulse responses. We suggest that a standard Taylor rule is not well-suited to maintain macroeconomic stability. Instead, an augmented rule that incorporates house prices is shown to be superior.     

Anticipation,learning and welfare: the case of distortionary taxation

We study the impact of anticipated fiscal policy changes in a Ramsey economy where agents form long-horizon expectations using adaptive learning. We extend the existing framework by introducing distortionary taxes as well as elastic labor supply, which makes agents’ decisions non-predetermined but more realistic. We detect that the dynamic responses to anticipated tax changes under learning have oscillatory behavior that can be interpreted as self-fulfilling waves of optimism and pessimism emerging from systematic forecast errors. Moreover, we demonstrate that these waves can have important implications for the welfare consequences of fiscal reforms.     

Learning from experience in the stock market

New evidence suggests that individuals “learn from experience,” meaning they learn from events occurring during their lives as opposed to the entire history of events. Moreover, they weigh more heavily recent events compared to events occurring in the distant past. This paper analyzes the implications of such learning for stock pricing in a model with finitely lived agents. Individuals learn about the rate of change of the stock price and of dividends using a weighted decreasing-gain algorithm. As a result of waves of optimism and pessimism, the stock price exhibits stochastic fluctuations around the rational expectations equilibrium. Conditional on the historical path of dividends, the model produces a price–dividend ratio which is in line with the evidence for the last century, except for the “dot-com” bubble in the 1990s.     

Evidence of nonlinear speculative bubbles in pacific-rim stock markets

Increased volatility of many stock markets in recent years has sometimes been associated with rapid increases or decreases in asset values that may contain elements of speculative bubbles not justified by the underlying fundamentals. This paper studies the behavior of daily stock returns from ten pacific-rim countries by using a regime switching model to detect trends. Residuals from a VAR model of daily stock indices and presumed fundamentals like exchange rates, Far East and the World stock indices used in a regime switching model point to the existence of bubbles. The ARCH and BDS statistics also indicate strong evidence of non-linearities in all of these countries.     

Bubbles detection for inter-war European hyperinflation: A threshold cointegration approach

This paper undertakes an empirical investigation into the existence of inflationary bubbles during the inter-war European hyperinflation for Germany, Hungary, Poland and Russia. Our Monte Carlo simulations show that the residual-based threshold cointegration methodology of Caner and Hansen (2001) is better able to detect periodically collapsing bubbles. Moreover, this methodology possesses greater power against nonlinear stationary alternatives in a finite sample than several commonly used cointegration tests that do not allow for multiple regime shifts. The empirical results of the threshold cointegration tests provide evidence of stationary, regimeswitching processes in money demand dynamics, but suggest that there are no inflationary bubbles in any of the countries.     

The Measurement and Characteristics of Professional Forecasters' Uncertainty

Several statistical issues that arise in the construction and interpretation of measures of uncertainty from forecast surveys that include probability questions are considered, with application to the Bank of England Survey of External Forecasters. Substantial heterogeneity of individual forecasters' uncertainty is found, together with significant persistence in their relative uncertainty, which is a new finding in professional forecast surveys. It is an individual characteristic akin to the individual optimism and pessimism already established in the literature on point forecasts; the latter is also found in the current dataset, now in a bivariate sense with respect to joint inflation and output growth point forecasts. Whether disagreement among point forecasts is a useful indicator of uncertainty is shown to depend on the underlying macroeconomic environment. Copyright © 2014 John Wiley & Sons, Ltd.