ANALYZING STOCK MARKET VOLATILITY USING EXTREME‐DAY MEASURES

We develop a simple measure of volatility based on extreme‐day returns and apply it to market returns from 1885 to 2002. Because returns are not normally distributed, the extreme‐day measure, which is distribution free, might provide a better measure of stock market risk than the traditional standard deviation. The extreme‐day measure more accurately explains investor behavior relative to standard deviation as shown by equity fund flows, and we find evidence that large negative changes appear to influence investor behavior more than large positive changes.     

Current practice in the modelling of age,period and cohort effects with panel data: a commentary on Tawfik et al. (2012), Clarke et al. (2009), and McCulloch (2012)

This comment assesses how age, period and cohort (APC) effects are modelled with panel data in the social sciences. It considers variations on a 2-level multilevel model which has been used to show apparent evidence for simultaneous APC effects. We show that such an interpretation is often misleading, and that the formulation and interpretation of these models requires a better understanding of APC effects and the exact collinearity present between them. This interpretation must draw on theory to justify the claims that are made. By comparing two papers which over-interpret such a model, and another that in our view interprets it appropriately, we outline best practice for researchers aiming to use panel datasets to find APC effects, with an understanding that it is impossible for any statistical model to find and separate all three effects.     

Estimating the economic cost of weeds in Australian annual winter crops

An analysis of the annual costs of weeds in seven winter crops across Australia demonstrated that the most important 15 weed species cause substantial annual costs in both financial and economic terms. Using survey data captured over the 1998–1999 growing season, the financial cost of these weeds in seven crops was estimated to be AU$1,182 million. The main components of this cost were herbicides (AU$571 million), the competitive effects of residual weeds (AU$380 million), and tillage (AU$206 million) while weed contamination of grain was a minor cost (AU$25 million). Across all regions, the most economically important weeds were annual ryegrass, wild oats, and wild radish, although there were regional differences in importance. An economic surplus analysis determined the annual economic cost of weeds in annual winter crops to be AU$1,279 million. This surplus loss represented 17% of the gross value of Australian grain and oilseed production in 1998–1999. Australian grain producers incurred a major loss, with a reduction in producer surplus of AU$1,047 million. Australian grain consumers had a large consumer surplus loss (AU$229 million), while international consumers suffered a small loss and international grain producers gained a small producer surplus from the higher grain prices.     

Acceptance of genetically modified food: comparing consumer perspectives in the United States and South Korea

This study examines public perceptions of biotechnology, specifically the consumer approval of genetically modified food products, from plant as well as from animal origin, based on data collected from national surveys conducted in both the United States and South Korea. South Korean consumers reported better understanding of food production, science, and technology relative to U.S. consumers. South Korean consumers also recalled having heard more about genetic modification than did U.S. consumers. Findings also suggest that consumers in the United States and South Korea who possessed an accurate knowledge of the applications and outcomes of genetic modification technology were more likely to approve of its use for the creation of foods than those who had inaccurate or no knowledge of the technology. Results also indicate that consumers who considered labeling of genetically modified foods to be necessary are less likely to approve of the genetic modification of foods than those who did not. Consumers in both countries are less approving of genetic modification of animals than the genetic modification of plants. However, U.S. consumers are more approving of using genetic modification technology to create animal‐derived foods than are South Korean consumers.     

Analysing the Agricultural Costs and Non‐market Benefits of Implementing the Water Framework Directive

Implementation of the Water Framework Directive (WFD) represents a fundamental change in the management of water in Europe with a requirement that member states ensure ‘good ecological status’ for all water bodies by 2015. Agriculture is expected to bear a major share of WFD implementation costs as it is compelled to reduce the emission of diffuse water pollutants. The research outlined here comprises interdisciplinary modelling of agricultural land use, hydrology and consequent water quality effects to consider both agricultural costs and the non‐market recreational use (and potentially non‐use) values that implementation of the Directive may generate. A theme throughout the research is the spatial distribution of the costs and benefits of WFD implementation, which is addressed through the use of GIS techniques in the modelling of agricultural land use, the integration of land use and hydrological models, and the estimation, aggregation and transfer of the economic value of the benefits.     

Short Sales and Option Listing Decisions

We find that stocks with higher levels of prelisting short activity have a greater probability of option listing. These results are driven by the prelisting short activity of market makers, which suggests that exchanges believe that stocks with greater short selling will provide option market makers a better opportunity to hedge with short sales in the spot market. We also confirm that after options are listed, stocks with more prelisting short activity have more option trading activity. These results indicate that option exchanges strategically list options for stocks they believe with generate high trading volume thereby maximizing the profits of exchange members.     

A fractionally cointegrated VAR analysis of economic voting and political support

We use a fractionally cointegrated vector autoregressive model to examine the relationship between Canadian political support and macroeconomic conditions. This model is well suited for the analysis because it allows multiple fractional time series and admits simple asymptotic inference for the model parameters and tests of the hypotheses of interest. In the long‐run equilibrium, we find that support for the Progressive Conservative Party was higher during periods of high interest rates and low unemployment, while support for the Liberal Party was higher during periods of low interest rates and high unemployment. We also test and reject the notion that party support is driven only by relative (to the United States) economic performance. Indeed, our findings suggest that US macroeconomic variables do not enter the long‐run equilibrium of Canadian economic voting (political opinion poll support) at all.     

Tax multipliers and monetary policy: Evidence from a threshold model

Romer and Romer (2010) use the narrative record to generate a time series of exogenous shocks to fiscal policy. They report a tax multiplier of 3.0. We extend their analysis and allow for nonlinearities between their shocks and the effects on output by estimating a threshold regression model. Using Hansen’s (1997) procedure, we find the best fitting threshold is changes in the federal fund rate with a delay of two quarters. Moreover, we find that the tax multiplier is approximately 4.3 if accompanied by an accommodative monetary policy and approximately 1.2 under tight monetary policy.