ETF arbitrage: Intraday evidence

We use two extremely liquid S&P 500 ETFs to analyze the prevailing trading conditions when mispricing allowing arbitrage opportunities is created. While these ETFs are not perfect substitutes, our correlation and error correction results suggest investors view them as close substitutes. Spreads increase just before arbitrage opportunities, consistent with a decrease in liquidity. Order imbalance increases as markets become more one-sided and spread changes become more volatile which suggests an increase in liquidity risk. The price deviations are followed by a tendency to quickly correct back towards parity.     

Mean–variance and mean–semivariance portfolio selection: a multivariate nonparametric approach

While univariate nonparametric estimation methods have been developed for estimating returns in mean-downside risk portfolio optimization, the problem of handling possible cross-correlations in a vector of asset returns has not been addressed in portfolio selection. We present a novel multivariate nonparametric portfolio optimization procedure using kernel-based estimators of the conditional mean and the conditional median. The method accounts for the covariance structure information from the full set of returns. We also provide two computational algorithms to implement the estimators. Via the analysis of 24 French stock market returns, we evaluate the in-sample and out-of-sample performance of both portfolio selection algorithms against optimal portfolios selected by classical and univariate nonparametric methods for three highly different time periods and different levels of expected return. By allowing for cross-correlations among returns, our results suggest that the proposed multivariate nonparametric method is a useful extension of standard univariate nonparametric portfolio selection approaches.     

Difference in degrees: CEO characteristics and firm environmental disclosure

We contribute to the literature on firms' responses to institutional pressures and environmental information disclosure. We hypothesize that CEO characteristics such as education and tenure will influence firms' likelihood to voluntarily disclose environmental information. We test our hypotheses by examining firms' responses to the Carbon Disclosure Project (CDP) and find that firms led by newly appointed CEOs and CEOs with MBA degrees are more likely to respond to the CDP, while those led by lawyers are less likely to respond. Our results have implications for research on strategic responses to institutional pressures and corporate environmental performance. Copyright © 2013 John Wiley & Sons, Ltd.     

High Leverage and Willingness to Pay: Evidence from the Residential Housing Market

I document a strong correlation between paying the full listing price on homes and borrowing 100% loan‐to‐value. Homebuyers who do both overpay by 2.8% to 3.9% ($4,800 to $6,700) and are 22.7% more likely to have their properties foreclosed within one year. The correlation is not mechanical: there is a discontinuity in the average leverage around the full listing price. The correlation is stronger in areas with a high fraction of financially constrained and unsophisticated residents, and in areas of high past price growth (potentially indicative of buyer optimism).     

Can you handle failure?

Handling failure and blame is key to managerial success. But roughly 70 % of Americans have a personality type that tends to react inappropriately when things go wrong. Some people are extrapunitive, always pointing a finger at someone else. Others are impunitive, denying there's a problem or that they played any role. And still others are intrapunitive, heaping too much blame on themselves and seeing disasters where none exist. Fortunately, there are ways to fix such flawed responses. The first step is to cultivate self-awareness; several personality tests can help you assess your interaction style. Next, deepen your political awareness to better understand what messages others are receiving. Once you've identified your bad habits, you can move toward more-adaptive responses. Dattner and Hogan describe several strategies that can benefit any of the personality types. You should make sure to listen and communicate well, reflect on the situation and the people involved, think carefully before acting, and look for lessons when mistakes do happen. Using detailed examples, the authors illustrate how people with the various personality types are apt to react to specific failures and explain what they might do differently. They also offer insights to help you recognize when your bosses, peers, or subordinates fit into one of the problematic categories and suggest ways to influence their behavior. The taxonomy and tactics they present will help you approach failure with an open mind and react in a balanced, constructive way.     

Default contagion and systemic risk in loan guarantee networks

This paper studies systemic risk in the Chinese debt market stemming from inter‐corporate loan guarantees using field data from Zhejiang Province. We apply a weighted and directed network model to analyse the implications for default contagion and systemic risk under different stress testing scenarios. The empirical results indicate that the topology of the loan guarantee network is close to a ‘scale‐free’ structure, which is known to be robust against accidental failures but vulnerable to coordinated attacks. Hence, the network is able to cope with idiosyncratic shocks resulting from single company failures, but can easily suffer from more widespread contagion if a group of systemically important companies are hit by a targeted shock. We further demonstrate that within our sample of small and medium‐sized enterprise (SME) companies, increasing leverage reduces network stability and exacerbates the effects of contagion. More lenient bank lending policies increase the survival rate of sample companies and thereby reduce the losses from default contagion.     

Why panel tests of purchasing power parity should allow for heterogeneous mean reversion

Recent studies of purchasing power parity (PPP) use panel tests that fail to take into account heterogeneity in the speed of mean reversion across real exchange rates. In contrast to several other severe restrictions of panel models and tests of PPP, the assumption of homogeneous mean reversion is still widely used and its consequences are virtually unexplored. This paper analyzes the properties of homogeneous and heterogeneous panel unit root testing methodologies. Using Monte Carlo simulation, we uncover important adverse properties of the panel approach that relies on homogeneous estimation and testing. More specifically, power functions are low and assume irregular shapes. Furthermore, homogeneous estimates of the mean reversion parameters exhibit potentially large biases. These properties can lead to misleading inferences on the validity of PPP. Our findings highlight the importance of allowing for heterogeneous estimation when testing for a unit root in panels of real exchange rates.     

The Bankruptcy System's Chapter 22 Recidivism Problem: How Serious is It?

This paper is adapted from the keynote address from the Eastern Finance Association's 2014 meeting in Pittsburg, Pennsylvania. We highlight a recidivism problem: about 15% of debtors who emerge as continuing entities under Chapter 11, or are acquired as part of the bankruptcy process, ultimately file for bankruptcy protection again (18.25% when considering only those firms which emerge as a continuing, independent entity). We argue that the “Chapter 22” issue should not be dismissed by the bankruptcy community just because no interested party objects during the confirmation hearing. Applying the Z”‐Score model to a large sample of Chapter 11 cases reveals highly different and significant expected survival profiles at emergence. Credible distress prediction techniques can effectively predict the future success of firms emerging from bankruptcy and be used by the bankruptcy court to assess the feasibility of the reorganization plan, a requirement mandated by the Bankruptcy Code. Branch reviews, discusses, and critiques in this follow‐up article to Altman's original thesis.     

Interactive data and retail investor decision‐making: an experimental study

The results of an experimental study of retail investors' use of eXtensible Business Reporting Language tagged (interactive) data and PDF format for making investment decisions are reported. The main finding is that data format made no difference to participants' ability to locate and integrate information from statement footnotes to improve investment decisions. Interactive data were perceived by participants as quick and ‘accurate’, but it failed to facilitate the identification of the adjustment needed to make the ratios accurate for comparison. An important implication is that regulators and software designers should work to reduce user reliance on the comparability of ratios generated automatically using interactive data.