Kalman filter estimation for valuing nontrading securities,with applications to the MMI cash-future spread on October 19 and 20, 1987

The Kalman filter is proposed as a method for estimating the value of nontrading securities during periods when other securities are trading. The method also provides confidence intervals that indicate the degree of uncertainty regarding estimated value. The method is applied to the Major Market Index during the principal days of the 1987 stock market crash. Our results indicate that nonsynchronous trading explains a small but significant portion of the cash-futures spread that prevailed during these days.     

Wealth Inequality and the Great Recession

The study of wealth and wealth inequality has received far less attention than income, but the increasing importance of wealth, debt and wealth inequality means closer attention must be paid to their concomitant dynamics. Policy interventions to reduce economic inequality continue to target income more than wealth, but targeting the latter – especially through taxes on financial assets – is arguably more effective.     

Shadow prices of environmental outputs and production efficiency of household-level paper recycling units in Vietnam

The production efficiency and shadow prices of three environmental outputs (BOD, COD, and SS) of 63 household-level paper-recycling units, from a recycling craft village in Vietnam, are assessed A two-stage procedure, linear programming and stochastic estimation, is used to estimate output distance function. Social capital as a production factor and environmental outputs are included in the output distance function. Results indicate that production efficiencies could potentially be improved by 28%. There is a substantial variation in the shadow prices of environmental outputs among the production units of different types of paper products. Furthermore, the average shadow prices of the three environmental outputs are all positive. This indicates a potential for improving environmental quality though introducing pollution-prevention methods to paper-recycling production processes in Vietnam (e.g., recirculation of wastewater), and suggests that it may be inappropriate to restrict the shadow prices of environmental outputs to be non-positive for the analysis of some production processes.     

Regional Differentiation and Farm Exit: A Hierarchical Model for Tuscany

We analyse the exit behaviour of Tuscan farms during the period 2000–2007 both at the farm and the territorial level. The study combines data from the 2000 National Census of Agriculture and three waves of the ‘Farm Structure Surveys’. The exit probability of the resulting sample, composed of 3,187 farms, is estimated through a Bayesian hierarchical probit model. Our results show that exits reflect the size and type of holdings. Likelihood of exit is higher in areas of higher population density that are not classified as ‘urban’ areas.     

Computer education: A survey of accounting graduates

In recent years, increased attention has been directed towards the integration of computers into accounting education. A questionnaire was distributed to accounting graduates in order to determine their opinions about the adequacy of computer education and the importance of computer skills to the professional accountant. Graduates, stratified by year of graduation, were selected from a diverse group of universities.Overall, the respondents rated their own preparation low. They felt best prepared in programming skills but least prepared in networking and computer communication skills. In terms of importance, software proficiency was rated highest, with programming skills lowest. With a few exceptions, the analysis of the responses by demographic variables yielded results consistent with the overall analysis. The respondents with less work experience rated their preparation higher than those with more experience, but those with more work experience rated the importance of all computer skills higher.     

An analysis of the profiles and motivations of habitual commodity speculators

The focus of this study is the habitual speculator in commodity futures markets. The speculator's activity broadens a market, creates essential liquidity, and performs an irreplaceable pricing function. Working knowledge of the profiles and motivations of habitual speculators is essential to both market theorists and policy makers. Responses to a 73-question survey were collected directly from retail commodity brokers with offices in Alabama. Each questionnaire recorded information on an individual commodity client who had traded for an extended period of time. The typical trader studied is a married, white male, age 52. He is affluent and well educated. He is a self-employed business owner who can recover from financial setbacks. He is a politically right-wing conservative involved in the political process. He assumes a good deal of risk in most phases of his life. He is both an aggressive investor and an active gambler. This trader does not consider preservation of his commodity capital to be a very high trading priority. As a result, he rarely uses stop loss orders. He wins more frequently than he loses (over 51% of the time) but is an overall net loser in dollar terms. In spite of recurring trading losses, he has never made any substantial change in his basic trading style. To this trader, whether he won or lost on a particular trade is more important than the size of the win or loss. Thus he consistently cuts his profits short while letting his losses run. He also worries more about missing a move in the market by being on the sidelines than about losing by being on the wrong side of a market move; that is, being in the action is more important than the financial consequences. Participating brokers confirmed that for the majority of the speculators studied, the primary motivation for continuous trading is the recreational utility derived largely from having a market position. © 1998 John Wiley & Sons, Inc. Jrl Fut Mark 18:765–801, 1998     

Measures of the effects of agricultural practices on ecosystem services

Agriculture produces more than just crops. Agricultural practices have environmental impacts that affect a wide range of ecosystem services, including water quality, pollination, nutrient cycling, soil retention, carbon sequestration, and biodiversity conservation. In turn, ecosystem services affect agricultural productivity. Understanding the contribution of various agricultural practices to the range of ecosystem services would help inform choices about the most beneficial agricultural practices. To accomplish this, however, we must overcome a big challenge in measuring the impact of alternative agricultural practices on ecosystem services and of ecosystem services on agricultural production. A framework is presented in which such indicators can be interpreted as well as the criteria for selection of indicators. The relationship between agricultural practices and land-use change and erosion impact on chemical use is also discussed. Together these ideas form the basis for identifying useful indicators for quantifying the costs and benefits of agricultural systems for the range of ecosystem services interrelated to agriculture.     

Ex Post Moral Hazard and Bayesian Learning in Insurance

We study a dynamic insurance market with asymmetric information and ex post moral hazard. In our model, the insurance buyer's risk type is unknown to the insurer; moreover, the buyer has the option of not reporting losses. The insurer sets premia according to the buyer's experience rating, computed via Bayesian estimation based on buyer's history of reported claims. Accordingly, the buyer has strategic incentive to withhold information about losses. We construct an insurance market information equilibrium model and show that a variety of reporting strategies are possible. The results are illustrated with explicit computations in a two‐period risk‐neutral case study.