Relevance of the disposition effect on the options market: New evidence

A moneyness‐based propensity to sell (MPS) measure, at the aggregate level, determines the propensity of option holders to exercise their winning relative to losing positions. Using data on individual stock and S&P 500 Index options, we find that the MPS measure has significant predictive power over the cross section of delta‐hedged option returns. We test the disposition effect in the options market based on a long–short strategy that exploits price distortions induced by the disposition bias. More pronounced evidence of the disposition bias is found for individual at‐the‐money call options than put options where the significance of abnormal returns remains robust across different subsamples even after we control for the portfolio option greeks and market‐based risk factors. The profitability of the long–short strategy is related to limit‐to‐arbitrage proxies suggesting that behavioral explanations help explain the positive relation between the MPS measure and delta‐hedged option returns.     

The Effect of Explicit Communication on pricing: Evidence from the Collapse of a Gasoline Cartel

We study the collapse of collusion in Québec's retail gasoline market following a Competition Bureau investigation, and show that it involved two empirical regularities: high margins, and asymmetric price adjustments. Using weekly, station‐level prices we test whether collusion was successful, and whether asymmetric adjustments were part of the cartel's strategy. We do so in the markets targeted by the investigation, and in markets throughout the province with similar pre‐collapse pricing (cyclical markets). Our results suggest that stations in both target and cyclical markets adjusted pricing following the announcement: margins fell (by 30%/15% in target/cyclical markets), and adjustments became more symmetric.     

Timing the Start of Material Substitution Projects: Creating Switching Options under Volatile Material Prices

Firms developing new products often face the challenge of making investment decisions under uncertain input–cost conditions due to the price volatilities of the materials they use. These decisions need to be made long before the final products are launched on the market. Therefore, firms that invest in the opportunity to switch materials in a timely manner will have the flexibility to react to material price changes and realize competitive advantages. However, volatile material prices may also cause a firm to delay investment. Using real‐options reasoning, this paper studies the influence of input‐cost fluctuations on the timing decision to start new product development (NPD) and thus create the follow‐on opportunity to later replace an existing product. A model that combines waiting and switching options to derive influencing factors of the flexibility value that triggers the investment is developed and tested on a sample of material substitution projects from manufacturing firms. The results show how price uncertainty of the new and the old material, their joint price development, the expected project duration, and competitive preemption are related to the propensity to delay the start of NPD. The findings provide new insights on how timing in adopting materials can be used to hedge exposure to volatile material prices. The insights are relevant for adopters and producers of new materials, as well as for policy makers who strive for supporting the diffusion of new materials.     

Effects of Firm Size,Financial Leverage and R&D Expenditures on Firm Earnings: An Analysis Using Quantile Regression Approach

As documented in the literature, the effects of firm size, financial leverage, and R&D expenditures on firm earnings are inclusive. Our hypothesis is that the inconsistent empirical results of such effects may be driven by the regression models implemented in data analysis. Using the quantile regression (QR) approach developed by Koenker and Basset (1978), this study analyses S&P 500 firms from 1996 to 2005. We find that the effects of firm size, financial leverage and R&D expenditures on firm earnings differ considerably across earnings quantiles. Comparing the results from the QR approach with those from the ordinary least squares (OLS) and least absolute deviation (LAD) methods, this study further explains the puzzling relationship between firm size, financial leverage, R&D expenditures and firm earnings.     

Regime shifts in stock–flow I(2)–I(1) systems: the case of US fiscal sustainability

In the last two decades, fiscal sustainability has been tested through the use of non‐stationary time series analysis. Two different approximations can be found in the literature: first, a univariate approach that has focused on the stochastic properties of the stock of debt and, second, a multivariate one that has focused on the long‐run properties of the flows of expenditures and revenues, i.e., in the stochastic properties of the deficit. In this paper we unify these approaches considering the stock–flow system that fiscal variables configure. Our approach involves working in an I(2) stochastic processes framework. Given the possibility of the existence of regime shifts in the sustainability of US deficit that the literature has pointed out, we develop a new statistic that can be applied to test several types of I(2) cointegration and multicointegration relationships allowing for regime shifts. To test for these kinds of changing long‐run relationships we propose the use of a residual‐based Dickey–Fuller class of statistic that accounts for one structural break. We show that consistent estimates of the break fraction can be obtained through the minimization of the sum of squared residuals when there is I(2) cointegration. The finite sample performance of the proposed statistic is investigated by Monte Carlo simulations. The econometric methodology is applied to assess whether the US fiscal deficit and debt are sustainable. Copyright © 2010 John Wiley & Sons, Ltd.     

Does Managerial Behavior Determine Farm Technical Efficiency? A Case of Grape Production in an Economy in Transition

This study explores how farmers' managerial behavior in their production planning processes influences the economic performance of their farms, measured through input‐oriented and output‐oriented technical efficiency. A conceptual framework in which differences in managerial behavior were assumed to be due to bounded rationality was developed. The 3‐year means (2006–2008) from a panel data set on grape‐producing family farms in FYR Macedonia were analyzed. Technical efficiency was estimated with the nonparametric data envelopment analysis approach. The impact of farmers' managerial behavior was assessed in a second‐stage regression. The results suggest that bounded rationality in farmers' production planning decisions causes inefficiency. Copyright © 2011 John Wiley & Sons, Ltd.     

Least Squares Asymptotics in Spurious and Cointegrated Panel Regressions with Common and Idiosyncratic Stochastic Trends*

This article makes an analytical study of the effects of the presence of both common and idiosyncratic stochastic trends on the pooled least squares estimator. The results suggest that the usual result of asymptotic normality depends critically on the absence of the common stochastic trend.     

Bridging the gap: How sustainable development can help companies create shareholder value and improve financial performance

This study examines the effect of integrating sustainability into corporate strategy on various aspects of shareholder value creation and financial performance in the British capital market. The employed method is based on the content analysis of corporate disclosures and a new technique for assessing the adoption of the corporate sustainability concept (embracing the environmental, social, and financial aspects of a company's policies at the same time). Using extensive data of FTSE 350 firms covering the years 2006–2012, 65 companies were selected as meeting corporate sustainability criteria. For the above period, we find that these firms were characterized by higher financial risk exposure, lower asset growth rates, lower BV/MV ratios, lower EVA ratios, and higher MVA ratios. Such relations were generally present among different size and industry groupings. The results support the thesis that firms that incorporate sustainability issues into their business operations are better able to leverage their resources toward stronger financial performance and shareholder value creation than other companies. The paper contributes to the literature by offering a more holistic approach to corporate sustainable performance measurement and shedding additional light on its relation to financial performance in the context of the recent global financial crisis and its direct aftermath.     

Sustainability Strategy and Eco‐Innovation: A Moderation Model

This study develops a moderation model to examine the role of a proactive environmental strategy on eco‐innovation. Drawing upon the perspectives of contingency theory, this study argues that the impacts of sustainability strategy on eco‐innovation depend on market demand, innovation intensity and government subsidy. The sample used to test the hypotheses is obtained from the Community Innovation Survey in Taiwan. A total of 2955 manufacturing firms are included in the final sample. A logit moderating regression is adopted to analyze the models. The results reveal that market demand and government subsidy positively moderate the relationship between environmental strategy and eco‐innovation. Specifically, firms are more likely to adopt a proactive environmental strategy to improve eco‐innovation under high levels of market demand and government subsidy. Furthermore, the results indicate that innovation intensity affects the effect of environmental strategy on eco‐innovation, but the direction of the influence varies with different categories of eco‐innovation. Copyright © 2016 John Wiley & Sons, Ltd and ERP Environment