An application of the extended cross impact method to generating scenarios of social change in Japan

Scenarios of Japanese society in 2000 are obtained by applying an extended correlational cross impact analysis. Since the scope of the scenarios is extensive, a procedure is developed to generate the scenarios that consists of a preprocessing of the events of interest and a step-by-step application of a cross impact method. Three scenarios are described, based on a workshop where the procedure was applied.     

You May Not Reap What You Sow: How Employees’ Moral Awareness Minimizes Ethical Leadership’s Positive Impact on Workplace Deviance

Although a growing body of research has shown the positive impact of ethical leadership on workplace deviance, questions remain as to whether its benefits are consistent across all situations. In this investigation, we explore an important boundary condition of ethical leadership by exploring how employees’ moral awareness may lessen the need for ethical leadership. Drawing on substitutes for leadership theory, we suggest that when individuals already possess a heightened level of moral awareness, ethical leadership’s role in reducing deviant actions may be reduced. However, when individuals lack this strong moral disposition, ethical leadership may be instrumental in inspiring them to reduce their deviant actions. To enhance the external validity and generalizability of our findings, the current research used two large field samples of working professionals in both Turkey and the USA. Results suggest that ethical leadership’s positive influence on workplace deviance is dependent upon the individual’s moral awareness—helpful for those employees whose moral awareness is low, but not high. Thus, our investigation helps to build theory around the contingencies of ethical leadership and the specific audience for whom it may be more (or less) influential.     

Entry and capital structure mimicking in concentrated markets: The role of incumbents’ financial disclosures

We examine whether the public availability of product market incumbents' financial disclosures leads to greater capital structure mimicking of incumbents by entrants. Exploiting a change in disclosure enforcement for German private firms in the mid-2000s, we find entrant-incumbent mimicking rises substantially in concentrated markets once incumbents' financial statements are publicly available. Additional tests exploring potential mechanisms are more consistent with interfirm learning underlying the effect than alternative channels. Our findings shed light on the effects of competitor financial statement disclosure on private firms’ initial financing decisions and highlight how capital structure dependencies among peer firms arise.     

Board structure and CEO compensation: Evidence from U.S. lodging industry

Using a sample of U.S. lodging firms, this paper examines the relationship between board of director characteristics and chief executive officer (CEO) compensation. Previous research shows that larger boards are detrimental to the effectiveness of the board of directors and deteriorate the control imposed on CEO actions and pay. Board independence is also suggested as an important quality to emphasize the control on the CEO. We propose that U.S. lodging firms’ board of directors provide a nice setting to investigate the effects of size and independence on CEO compensation level. Our findings suggest that CEO compensation is not related to board size, and positively related to proportion of the outside board members. These findings are contrary to the findings of previous studies. Our findings may provide significant insights to lodging firms’ board of directors to structure efficient compensation packages.     

ON THE ROBUSTNESS OF RANGE‐BASED VOLATILITY ESTIMATORS

We empirically examine Parkinson's range‐based volatility estimate in the federal funds market, which is unique because institutional regulations create a predictable pattern in interday volatility. We find that range‐based volatility estimates and standard deviations produce the expected volatility pattern. We also find that at trading pressure points where microstructure noise should be greatest, range‐based estimates are less than the standard deviations. Thus, we support the argument that range‐based volatility estimates remove the upward bias created by microstructure noise. We find that the Parkinson method is the most efficient range‐based volatility measure among a set of alternates in this market.     

Repeated signaling games

I analyze a class of repeated signaling games in which the informed player's type is persistent and the history of actions is perfectly observable. In this context, a large class of possibly complex sequences of signals can be supported as the separating equilibrium actions of the “strong type” of the informed player. I characterize the set of such sequences. I also characterize the sequences of signals in least cost separating equilibria (LCSE) of these games. In doing this, I introduce a state variable that can be interpreted as a measure of reputation. This gives the optimization problem characterizing the LCSE a recursive structure. I show that, in general, the equilibrium path sequences of signals have a simple structure. The shapes of the optimal sequences depend critically on the relative concavities of the payoff functions of different types, which measure the relative preferences towards payoff smoothing.     

Temporary open market operation on MBS repos: any foreshadowing of the financial crisis of 2008?

The financial crisis of 2008 was significantly influenced by housing, mortgage markets and mortgage-backed securities (MBS). The Federal Reserve (Fed) conducts temporary open market operations on a daily basis and frequently uses repos on MBS. With this daily interaction with MBS, we examine whether any signal about the impending financial crisis could have been seen in the Fed’s temporary open market operations. We identify four anomalous events in MBS temporary open market operations and examine those events for signals of the financial crisis. We find nothing in the four events that would have provided signals of the financial crisis. Instead, the common feature of the four events is an unusually large supply of MBS made available to the Fed for those day’s temporary open market operations.     

Investment decisions and internal capital markets: Evidence from acquisitions

In this paper, we examine the workings of internal capital markets in diversified firms that engage in related and unrelated corporate acquisitions. Our evidence indicates that bidders invest outside their core business (diversify) when the cash flows of their core business fall behind those of their non-core lines of business. However, bidders invest inside their core business (i.e., undertake non-diversifying investments) when their core business experiences superior cash flows. We also find that bidders whose core business are in industries with low growth prospects engage in diversifying acquisitions while bidders whose core business are in high growth industries undertake non-diversifying acquisitions. The pre-acquisition evidence, then, suggests that firms tend to diversify when the cash flows and the growth opportunities of their core business are considerably lower than those of their non-core business. Subsequent to acquisitions we find that diversifying bidders continue to allocate financial resources from less profitable business segments (i.e., core business) to more profitable business segments (i.e., non-core business). Given the low profitability of diversifying bidders’ core business, this capital resource allocation suggests that diversification increases do not result in capital allocation inefficiencies. The evidence for non-diversifying bidders, however, supports the existence of “corporate socialism” in the sense that there is transfer of funds from the profitable (core) to the less profitable (non-core) business segments in multi-segment bidders. We find that the capital expenditures of bidders’ non-core business segments rely on both core and non-core cash flows.     

Supply network capacity planning for semiconductor manufacturing with uncertain demand and correlation in demand considerations

A semiconductor supply network involves many expensive steps, which have to be executed to serve global markets. The complexity of global capacity planning combined with the large capital expenditures to increase factory capacity makes it important to incorporate optimization methodologies for cost reduction and long-term planning. The typical view of a semiconductor supply network consists of layers for wafer fab, sort, assembly, test and demand centers. We present a two-stage stochastic integer-programming formulation to model a semiconductor supply network. The model makes strategic capacity decisions, (i.e., build factories or outsource) while accounting for the uncertainties in demand for multiple products. We use the model not only to analyze how variability in demand affects the make/buy decisions but also to investigate how the correlation between demands of different products affects these strategic decisions. Finally, we demonstrate the value of incorporating demand uncertainty into a decision-making scheme.