How resilient is the German banking system to macroeconomic shocks?

Macroeconomic stress testing studies often rely on rather short sample periods due to the limited availability of banking data. They may fail to appropriately account for the cyclicality in the interaction between the banking system and macroeconomic developments. In this paper, we use a newly constructed data set on German banks’ income and loss statements over the past 39 years to model the interaction between the banking sector and the macroeconomy. Our VAR analysis indicates that the level of stress in the banking sector is strongly affected by monetary policy shocks. The results rationalize the active behavior of central banks observed during periods of financial market crises.     

How strong are the linkages between real estate and other sectors in China?

International experience points to the critical role of stable property markets in maintaining financial stability. This paper investigates the real and financial linkages between real estate sector and other sectors. The real linkage based on input–output analysis shows that the linkages have strengthened. The financial linkages in terms of credit risk spillovers across sectors are studied by using DAG method and SVAR. We find that that credit risk in the real estate sector has large-scale spillover effects onto other sectors. Consequently, shocks to the property market could have much larger impact on the Chinese economy than suggested by headline figures.     

Who is responsible for rehabilitating the poor? The case for church-based financial services for the poor

This article is a qualitative study, the first part of an ongoing empirical study on the role of churches in providing financial access to the poor. It begins with the question of whether Christian Churches should be involved in providing financial services for the poor. Drawing on the teachings of the Bible, Catholic Social Teachings (CSTs), it concludes that providing such a service is consistent with Christian principles. It then uses the theory of people's psychological sense of a community, the Bible, CST and the extant literature to develop a number of propositions that could form a framework for church-based micro-finance institutions (MFIs).     

How arbitrage-free is the Nelson-Siegel model?

We test whether the Nelson and Siegel (1987) yield curve model is arbitrage-free. Theoretically, the Nelson-Siegel model does not ensure the absence of arbitrage opportunities, as shown by Bjork and Christensen (1999) and Filipovic (1999). Still, central banks and wealth managers rely heavily on it. Using zero-coupon yield curve data from the US market, we find that the no-arbitrage parameters are not statistically different from those obtained from the Nelson-Siegel model. We therefore conclude that the Nelson-Siegel yield curve model is compatible with the no-arbitrage constraints on the US market. To corroborate this result, we also show that the Nelson-Siegel model performs as well as its no-arbitrage counterpart in an out-of-sample forecasting experiment.     

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.     

How do commodity futures respond to macroeconomic news?

This paper investigates the impact of seventeen US macroeconomic announcements on two broad and representative commodity futures indices. Based on a large sample from 1989 to 2005, we show that the daily price response of the CRB and GSCI commodity futures indices to macroeconomic news is state-dependent. During recessions, news about higher (lower) inflation and real activity lead to positive (negative) adjustments of commodity futures prices. In contrast, we find no significant reactions during economic expansions. We attribute this asymmetric response to the state-dependent interpretation of macroeconomic news. Our findings are robust to several alternative business cycle definitions.

How useful is the Marginal Expected Shortfall for the measurement of systemic exposure? A practical assessment

We explore the practical relevance from a supervisor’s perspective of a popular market-based indicator of the exposure of a financial institution to systemic risk, the Marginal Expected Shortfall (MES). The MES of an institution can be defined as its expected equity loss when the market itself is in its left tail. We estimate the dynamic MES recently proposed by Brownlees and Engle (2012) for a panel of 68 large US banks over the last decade and a half. Running panel regressions of the MES on bank characteristics, we first find that the MES can be roughly rationalized in terms of standard balance-sheet indicators of bank financial soundness and systemic importance. We then ask whether the cross section of the MES can help to identify ex ante, i.e. before a crisis unfolds, which institutions are more likely to suffer the most severe losses ex post, i.e. once it has unfolded. Unfortunately, using the 2007–2009 crisis as a natural experiment, we find that some standard balance-sheet ratios are better able than the MES to predict large equity losses conditionally to a true crisis.     

Authenticity: is it real or is it marketing?

Marty Echt, the new head of marketing at Hunsk Engines, is determined to bring the motorcycle maker back to its roots. He says it's not enough to project authenticity to customers--employees must personally subscribe to the brand's values. Should the company's CEO support Marty's "real deal" vision? Five experts comment on this fictional case study. Bruce Weindruch, the founder and CEO of the History Factory, says that an authenticity-based campaign can be effective--but only if it's truly drawn from history. Marketers like Marty often remember their organization's past in a golden haze. Weindruch recommends exploring old engineering drawings, ads, and product photos in order to understand what customers and employees really valued back in the day. Gillian Arnold, a consultant to luxury fashion and fine jewelry brands, thinks Marty's approach is right: People in key marketing posts must be passionate about their products and know them inside and out. She argues that the CEO needs to commit more fully to the new campaign and address the significant gap between the staff and the brand. James H. Gilmore and B. Joseph Pine II, the cofounders of Strategic Horizons, point out that Hunsk needs to manage customers' perceptions rather than trying to be a "real company" or forming a management team whose personal interests match the brand. People purchase a product if it conforms to their self-image; that alone determines the brand's authenticity. Glenn Brackett of Sweetgrass Rods, a maker of bamboo fly-fishing rods, says Marty seems to be one of the few people who understand Hunsk motorcycles. If employees bring blood, sweat, heart, and soul to a product, it will manifest that spirit, and customers will line up for it.     

How much inflation is necessary to grease the wheels?

Tobin's proposition that inflation “greases” the wheels of the labor market is studied using a simple dynamic stochastic general equilibrium model with asymmetric wage adjustment costs. The simulated method of moments is used to estimate the nonlinear model based on its second-order approximation. Optimal inflation is determined by a benevolent government that maximizes the households’ welfare. Econometric results indicate that nominal wages are downwardly rigid and that the optimal level of grease inflation for the U.S. economy is about 0.35% per year, with a 95% confidence interval ranging from 0.04% to 0.87%.     

Can a real business cycle model without price and wage stickiness explain UK real exchange rate behaviour?

This paper establishes the ability of a Real Business Cycle model to account for UK real exchange rate behaviour. The model is tested by the method of indirect inference, bootstrapping the errors to generate 95% confidence limits for a time-series representation of the real exchange rate, as well as for various key data moments. The results suggest RBC models can explain real exchange rate movements.     

How biased is the behavior of the individual investor in warrants?

Based on the actual trading behavior of individual investors in the Portuguese financial market during almost ten years this paper examines the socio-demographic characteristics of retail investors in warrants, and discusses the hypothesis that some behavioral biases do have an impact on the investors’ predisposition to invest and trade in warrants, a complex financial instrument. One finds that there is a profile of investors in warrants: younger and less educated men are more likely to invest in warrants and that overconfident, disposition-prone and investors exhibiting a gambling attitude are more likely to invest and trade in warrants. Secondly, the gambling motive seems to be a distinguishing characteristic of investors in warrants. In other words, when investors are driven to trade in financial markets for pleasure/fun they tend to trade complex products more and to trade simple and easier to understand financial instruments less. Finally, the higher the intensity of trading the more relevant are the disposition and the gambler’s biases.     

How is illiquidity priced in the Chinese stock market?

This study investigates the liquidity premium in the Chinese stock market. We found that the expected stock returns increase monotonically with the quintile sort on characteristic liquidity with descending patterns. The characteristic liquidity premium ranges from 0.82% to 1.28% per month, which is much higher than that of their US counterparts. Moreover, our multivariate decomposition approach highlights that characteristic illiquidity premiums can be explained mainly by size, idiosyncratic volatility and momentum. The net systematic liquidity premium reaches 0.84% per month, driven mainly by commonality beta. The finding shows that a liquidity-based strategy forecasts cross-section and time-series expected returns.     

How hardwired is human behavior?

Time and time again managers have tried to eliminate hierarchies, politics, and interorganizational rivalry--but to no avail. Why? Evolutionary psychologists would say that they are working against nature--emotional and behavioral "hardwiring" that is the legacy of our Stone Age ancestors. In this evolutionary psychology primer for executives, Nigel Nicholson explores many of the Science's central tenets. Of course, evolutionary psychology is still an emerging discipline, and its strong connection with the theory of natural selection has sparked significant controversy. But, as Nicholson suggests, evolutionary psychology is now well established enough that its insights into human instinct will prove illuminating to anyone seeking to understand why people act the way they do in organizational settings. Take gossip. According to evolutionary psychology, our Stone Age ancestors needed this skill to survive the socially unpredictable conditions of the Savannah Plain. Thus, over time, the propensity to gossip became part of our mental programming. Executives trying to eradicate gossip at work might as well try to change their employees' musical tastes. Better to put one's energy into making sure the "rumor mill" avoids dishonesty or unkindness as much as possible. Evolutionary psychology also explores the dynamics of the human group. Clans on the Savannah Plain, for example, appear to have had no more than 150 members. The message for managers? People will likely be most effective in small organizational units. As every executive knows, it pays to be an insightful student of human nature. Evolutionary psychology adds another important chapter to consider.     

How Does the Market for Corporate Control Function for Property Companies?

We investigate 95 takeovers of property companies all over the world and find that only two of those are hostile. To determine the effectiveness of the market for corporate control, we first study characteristics of targets and acquirers compared to a control sample, using the complete global universe of listed property companies during the most recent takeover wave (1999–2004). We find that the inefficient management hypothesis holds for both REITs and non-REITs, as targets exhibit significant underperformance before takeovers. In the second part of this study, we investigate shareholder wealth effects following takeovers and confirm previous findings that abnormal returns for targets and bidders are distinctly different for the real estate sector. Moreover, we show that this difference not only holds for REIT-to-REIT mergers, but also for mergers of real estate firms without a REIT-status.

How do macroeconomic news surprises affect round-the-clock price discovery of gold?

We examine round-the-clock international price discovery of gold among the major gold markets—New York, London and Shanghai during news-intensive and no-news time zones using one-minute data. Using GMM based parallel price discovery measure, we find global leadership of the US as New York gold futures lead across five time zones with 56% information share. New York/London (Nylon) timezone (51%) is the most informative trading session in sequential price discovery for all markets in 24-h. Our aggregate and disaggregate news analysis reveals that the US news surprises have a substantial and positive impact on its price discovery leadership while Eurozone news surprises have a negative impact and Chinese news have negligible impact. Using least absolute shrinkage and selection operator (LASSO) regression, we find scheduled news with a large surprise index has a significant yet asymmetric impact as negative news triggers a strong reaction. The impact of news surprise is state-dependent and display sign-reversals during extreme uncertainty, adverse macroeconomic conditions and abnormal investor behaviour.     

How important is intra-household risk sharing for savings and labor supply?

While it is recognized that the family is a risk-sharing institution, little is known about the quantitative effects of this source of insurance on savings and labor supply. In this paper, we present a model where workers (females and males) are subject to idiosyncratic employment risk and where capital markets are incomplete. A household is formed by a female and a male, who decide on consumption, savings and labor supplies. In a calibrated version of our model we find that intra-household risk sharing has its largest impact among wealth-poor households. While the wealth-rich use mainly savings to smooth consumption across unemployment spells, wealth-poor households rely on spousal labor supply. For instance, for low-wealth households, average hours worked by wives of unemployed husbands are 8% higher than those worked by wives of employed husbands. This response in wives’ hours makes up 9% of lost family income. We also study consumption losses upon an unemployment spell, precautionary savings and the crowding out effects of the public unemployment insurance program on the extent of risk sharing within the household.     

Pricing multiasset equity options: How relevant is the dependence function?

In this paper we test how different choices for the dependence function can affect the prices of a set of multiasset equity options. We conduct the analysis for various 5-dimensional baskets of UK shares, and a wide range of payoffs for the multiasset options, consistent with the instruments traded on the market. We also test the relevance of the dependence specification over both volatile and quiet market scenarios. Interestingly, we find that, in most circumstances, the choice of a dependence structure richer than the standard linear correlation does not seem to affect option prices substantially. However, the dependence function becomes more relevant in particularly volatile market conditions.     

CEO contract design: How do strong principals do it?

We study changes in chief executive officer (CEO) contracts when firms transition from public ownership with dispersed owners to private ownership with strong principals in the form of private equity sponsors. The most significant changes are that a significant portion of equity grants performance-vests based on prespecified measures and that unvested equity is forfeited by fired CEOs. Private equity sponsors do not reduce base salaries, bonuses, and perks, but redesign contracts away from qualitative measures. They use some subjective performance evaluation, do not use indexed or premium options, and do not condition vesting on relative industry performance. We compare the contracts to predictions from contracting theories, and relate our results to discussions of executive compensation reform.     

How valuable is word of mouth?

The customers who buy the most from you are probably not your best marketers. What's more, your best marketers may be worth far more to your company than your most enthusiastic consumers. Those are the conclusions of professors Kumar and Petersen at the University of Connecticut and professor Leone at Ohio State University, who analyzed thousands of customers in research focused on a telecommunications company and a financial services firm. In this article, the authors present a straightforward tool that can be used to calculate both customer lifetime value (CLV), the worth of your customers' purchases, and customer referral value (CRV), the value of their referrals. Knowing both enables you to segment your customers into four constituent parts: those that buy a lot but are poor marketers (which they term Affluents); those that don't buy much but are very strong salespeople for your firm (Advocates); those that do both well (Champions); and those that do neither well (Misers). In a series of one-year experiments, the authors demonstrated the effectiveness of this segmentation approach. Offering purchasing incentives to Advocates, referral incentives to Affluents, and both to Misers, they were able to move significant proportions of all three into the Champions category. Both companies reaped returns on their marketing investments greater than 12-fold--more than double the normal marketing ROI for their industries. The power of this tool is its ability to help marketers decide where to focus their efforts. Rather than waste funds encouraging big spenders to spend slightly more while overlooking the power of customer evangelists who don't buy enough to seem important, you can reap much higher rewards by nudging big spenders to make referrals and urging enthusiastic proponents of your wares to buy a bit more.