Short-Sale Restrictions and Price Clustering: Evidence from SEC Rule 201

We provide a novel test of information-based theories of price clustering by examining trade, order, and the National Best Bid and Offer (NBBO) quote price clustering during periods when information is removed from the market. We use a natural experiment of short-sale restrictions resulting from Securities and Exchange Commission (SEC) Rule 201 to more effectively determine the impact of information on price clustering. We find evidence of increased price clustering for trades, orders, and NBBO prices during short-sale restrictions. Overall, our findings indicate that short-sale restrictions harm the price discovery process and lead to a reduction in market efficiency.     

Decomposing the market,industry, and firm components of profitability: implications for forecasts of profitability

Academics and practitioners frequently highlight that overall market and industry performance is an important aspect of a firm’s profitability. However, few studies allow for the decomposition of a firm’s profitability into market, industry, and idiosyncratic components, and those that do often assume that the market and industry components are cross-sectional constants. In this study, we allow for variation in firm-specific sensitivities to market, industry, and idiosyncratic economic shocks, and then assess whether and when this decomposition results in improved forecasts of profitability. For the overall sample, we find significant improvements in terms of the magnitude of forecast errors and the frequency with which forecasts based on the decomposed values are superior versus forecasts using only total profitability. Across the sample as a whole, decomposing profitability in the forecasting process results in more accurate forecasts greater than two-thirds of the time (increasing to almost 80% within certain subsamples). Our results provide strong support for the role that firm-specific measures of market and industry profitability play in predicting a firm’s future performance, as well as highlighting settings where the decomposition provides the greatest benefit in terms of predicting future changes in profitability.     

Using Limited Information to Support the Decision to Launch a New Product in the Fruit Juice Market: A Teaching Case Study

Fresh Juice Incorporated (FJI) is in the process of determining whether it should launch a new fruit juice, Genetically Enhanced (GE) Juice. The GE Juice meets consumers' demands for a tasty, nutritious product and it would be the first new juice product in the last fifteen years. Before FJI decides to launch GE Juice, it must analyze the uncertainty surrounding market size, market share, and price of GE Juice. Finally, if FJI decides to launch GE Juice, then they must decide if they will bottle the juice themselves or outsource this process. This case teaches students how to discuss the strategic implications of launching a new product and develop a net present value and financial feasibility simulation model given limited information.     

The influence of relative values of outside director stock options on firm strategic risk from a multiagent perspective

Prior work has examined the effects of absolute levels of outside director stock option grants on risk behavior without recognizing that relative stock option values could differentially affect risk taking. Drawing from the house money effect perspective, we extend this literature by examining how positive deviation from prior outside director option grants values influences firm strategic risk. Additionally we draw from the behavioral agency model and the power literature to develop a multiagent contingency framework suggesting the effect of positive director pay deviation depends on the incentives and power of CEOs reflected in CEO stock ownership and CEO duality, respectively. Our empirical results indicate positive pay deviation has a positive effect on firm risk taking while high ownership and duality independently and jointly weaken this base relationship. Copyright © 2013 John Wiley & Sons, Ltd.     

Impacts of household loan regulation on financial stability: evidence from Korea

The paper examines whether banking regulations and monetary policy contributed to controlling the fragility of household debt in Korea. The results show that housing loan regulations such as debt to income regulation contributed to a lower household debt delinquency ratio. Lowering the target interest rate provided additional stabilisation of the delinquency ratio. It is recommended that the government adopt an appropriate mix of regulation and monetary policy to control household financial fragility. The financial supervisory services need to be involved in managing debt to income regulation and minimising financial instability and financial market distortions. Further, the monetary authority has to adopt a more effective position in controlling the real lending interest rate and the delinquency ratio of household loans. Such a policy mix will improve effectiveness in controlling financial fragility, especially at a time of financial crisis.     

MODELLING A REGIME‐SHIFTING BEVERIDGE CURVE

This paper offers new insights into Beveridge curve analysis by modelling the unemployment–vacancy rate relationship within a Markov regime‐switching environment in which the probabilities of curve‐shifting are determined endogenously by shift factors. Shift factors include structural factors such as labour market participation and net migration, while cyclical variables include GDP growth, the real rate of interest, and labour productivity. This approach enables us to estimate regime‐specific parameters and to assess the role played by these factors in influencing the transition probabilities of switching between regimes. Using New Zealand data, we show that increases in the participation rate have shifted the Beveridge curve inward, while increases in net migration have shifted the curve outward.