Trust‐Preferred Securities and Insurer Financing Decisions

We analyze insurance holding company (IHC) issuance of trust‐preferred securities (TPS) from 1994 to 2013. We find that larger and more financially levered IHCs issued TPS in 1996 and 1997, as well as those that obtained financial strength ratings from A.M. Best. Abnormal stock price returns are positively related to financial distress costs, growth opportunities, and tax burden, but negatively related to size. Consistent with the pecking order theory, intent to use TPS proceeds to retire debt is positively related to abnormal stock returns, whereas intent to use proceeds to retire preferred equity is negatively related to abnormal stock returns.     

Short Positions in the First Principal Component Portfolio

Insurance companies and pension plans typically hold well-diversified equity portfolios. These institutions are also often restricted from taking short positions. The diversification requirement operates on the portfolio level, while the short sale constraint is at the individual security level. We examine an investment strategy that exposes a tension between these two requirements. This strategy uses the first principal component to construct the portfolio and by design meets the first requirement. Empirical portfolios based on the first principal component do an excellent job of capturing market exposure and minimizing diversifiable risk. However, in practice such portfolios sometimes contain a few short positions. So this strategy does not always meet the second requirement. We examine which features of stock returns give rise to short positions when a portfolio is based on the first principal component, and we are able to identify the characteristics of the stocks that are responsible for the short positions. These stocks tend to have negative correlations with the majority of other stocks. In contrast such stocks would typically be held long in a Markowitz portfolio. We discuss and explain this puzzle.     

Pairs trading under transaction costs using model predictive control

Model predictive control with proportional transactions costs provides a good approximation to the optimal trading strategy     

The EC‐LQO five‐factor framework: An alternative lens for business model innovation in highly knowledge‐intensive industries

Growing technological complexity continues to drive firms to interact with the external innovation environment to achieve firm success. However, industries' complexities and the business model concept's underlying ontology have limited research on modeling the key factors that enable this interface. In this study, results of an empirical analysis of a unique dataset of 102 biopharmaceutical companies broadly support the EC‐LQO five‐factor framework as a useful tool to guide business model innovation for highly knowledge‐intensive environments.     

Soft Strategic Information and IPO Underpricing

Using content analysis, we measure the impact of soft information, derived from words in initial public offering (IPO) registration documents, on IPO pricing efficiency. First, using 2,298 U.S. IPOs from 1996–2008, we find that an IPO document's strategic tone correlates positively with the stock's first-day return; more frequent usage of positive and/or less frequent usage of negative strategic words leads to more IPO underpricing. Second, we find that an IPO document's strategic tone is negatively correlated with the stock's long-run return. Together, these findings imply that investors initially misprice soft information in registration statements, which mispricing is eventually corrected. Additionally, we create new content-analysis libraries for strategic words and introduce a survey-based library creation method and word-weighting system.     

Disclosure‐protected Inference Using Generalised Linear Models

Vast amounts of data that could be used in the development and evaluation of policy for the benefit of society are collected by statistical agencies. It is therefore no surprise that there is very strong demand from analysts, within business, government, universities and other organisations, to access such data. When allowing access to micro‐data, a statistical agency is obliged, often legally, to ensure that it is unlikely to result in the disclosure of information about a particular person or organisation. Managing the risk of disclosure is referred to as statistical disclosure control (SDC). This paper describes an approach to SDC for output from analysis using generalised linear models, including estimates of regression parameters and their variances, diagnostic statistics and plots. The Australian Bureau of Statistics has implemented the approach in a remote analysis system, which returns analysis output from remotely submitted queries. A framework for measuring disclosure risk associated with a remote server is proposed. The disclosure risk and utility of approach are measured in two real‐life case studies and in simulation.     

The tortoise and the hare: the impact of employment instability on firm performance

The main objective of this study is to assess the influence of employment instability on firm performance in a sample of publicly traded firms. Competing theoretical arguments are considered with regard to likely outcomes associated with employment instability. A large sample of cross‐sectional time‐series data is then analysed using generalised estimating equations (GEE) regression techniques. Results indicate that employment instability is negatively associated with firm performance, although the relationship is also demonstrated to be quadratic (an inverse U‐shaped relationship). This suggests that the main relationship varies depending upon the level of employment instability. Industry characteristics are also examined as moderators of this main effect. The results suggest a disordinal interaction effect for industry differentiation, where employment instability is negatively associated with firm performance for firms in highly differentiated industries and positively associated in less differentiated industries.     

Key Managerial Accounting Skills for Lodging Industry Managers: The Third Phase of a Repeated Cross-Sectional Study

This study is the third phase of a repeated cross-sectional study that explores the current rankings of important accounting skills to lodging managers and the changes in the importance of accounting skills to lodging managers over time. In this study, as with two prior studies, financial executives were asked to rate the importance of a list of managerial accounting skills used by hotel general managers. The top three managerial accounting skills were the operating budget, the income statement, and analysis of variances. This study can provide a better sense of the perception of importance of accounting skills utilized by lodging managers. It will be useful for hospitality educators in designing the curriculum for managerial accounting courses to meet the expectations of the current hospitality industry.     

Capital Controls,Global Liquidity Traps,and the International Policy Trilemma*

The zero bound on interest rates introduces a new dimension to the trilemma in international policy. The openness of the international financial market might render monetary policy ineffective, even within a system of fully flexible exchange rates, because shocks that lead to a liquidity trap in one country are propagated through financial markets to other countries. However, the effectiveness of monetary policy can be restored by the imposition of capital controls. We derive the optimal response of monetary policy to a global liquidity trap in the presence of capital controls. We show that, even though capital controls might facilitate effective monetary policy, capital controls are not generally desirable in terms of welfare.