Researching the future: method or madness?

This paper examines the methodological issues behind futures studies, questioning whether it is possible to claim a futures study as methodologically ‘sound’, and critiquing how futures methodology fits within the methodological paradigms currently recognised in the research field. The extent to which futures methodology can be considered a paradigm in its own right is also examined as are the assumptive foundations of futures studies. While all the evidence raises many questions as to the form of futures methodology, the lack of clarity does not make a futures study invalid or unreliable, and hence sensemaking from the chaos of futures ‘data’ does ensure that futures studies can be based on method rather than madness.

How does one research the future? The very notion of researching the future is a paradox. The word research lies within the time boundaries of the past and the present so to research the future appears a logical impossibility. Attempts to ground the methodology in any single paradigm or set of constructs proves a fruitless task. Indeed, it becomes apparent that when undertaking research into an area that is something new, in the future, which could constitute a new field of research, fundamentally a new methodology needs to be created. This paper discusses how the development of a futures methodology is an on-going process which cannot be bounded by the limitations of strict rigour, but is nevertheless a rigorously sound approach to carrying out research.

When researching the future, no one method is appropriate in isolation. While quantitative methods such as forecasting, extrapolation and time series may prove useful if there is raw numerical data to work with, a hypothesis cannot be tested and proven as is the case in many quantitative studies. Given the nature of ‘the future’ itself, raw quantitative analysis needs contextualising and interpreting in light of the assumptive future constructs, and the assumptions themselves need examining for ‘assumption drag’ so that underlying trends and wave patterns are accounted for [1].     

Integrated Bayesian decision: A case

The process described in this article provides a framework for combining the judgments and experiences of each member of a decision-making unit. Utilizing the Bayesian approach to decision-making and the Jury of Executive Opinion the model may be of assistance to management teams, Boards of Directors and committees in reaching a consensus on critical decisions. The data are based on an actual case experience familiar to the authors.     

An axiomatic characterization of preferences under uncertainty: Weakening the independence axiom

The independence axiom used to derive the expected utility representation of preferences over lotteries is replaced by requiring only convexity, in terms of probability mixtures, of indifference sets. Two axiomatic characterizations are proven, one for simple measures and the other continuous and for all probability measures. The representations are structurally similar to expected utility, and are unique up to a generalization of affine transformations. First-order stochastic dominance and risk aversion are discussed using a method which finds an expected utility approximation to these preferences without requiring differentiability of the preference functional.     

Virtual Experiments and Their Use in Teaching Experimental Design

The ability to design experiments in an appropriate and efficient way is an important skill, but students typically have little opportunity to get that experience. Most textbooks introduce standard general‐purpose designs, and then proceed with the analysis of data already collected. In this paper we explore a tool for gaining design experience: computer‐based virtual experiments. These are software environments which mimic a real situation of interest and invite the user to collect data to answer a research question. Two prototype environments are described. The first one is suitable for a course that deals with screening or response surface designs, the second one allows experimenting with block and row‐column designs. They are parts of a collection we developed called ENV2EXP, and can be freely used over the web. We also describe our experience in using them in several courses over the last few years.     

A Simple Estimator of Two‐Dimensional Copulas,with Applications1

Copulas are distributions with uniform marginals. Non‐parametric copula estimates may violate the uniformity condition in finite samples. We look at whether it is possible to obtain valid piecewise linear copula densities by triangulation. The copula property imposes strict constraints on design points, making an equi‐spaced grid a natural starting point. However, the mixed‐integer nature of the problem makes a pure triangulation approach impractical on fine grids. As an alternative, we study the ways of approximating copula densities with triangular functions which guarantees that the estimator is a valid copula density. The family of resulting estimators can be viewed as a non‐parametric MLE of B‐spline coefficients on possibly non‐equally spaced grids under simple linear constraints. As such, it can be easily solved using standard convex optimization tools and allows for a degree of localization. A simulation study shows an attractive performance of the estimator in small samples and compares it with some of the leading alternatives. We demonstrate empirical relevance of our approach using three applications. In the first application, we investigate how the body mass index of children depends on that of parents. In the second application, we construct a bivariate copula underlying the Gibson paradox from macroeconomics. In the third application, we show the benefit of using our approach in testing the null of independence against the alternative of an arbitrary dependence pattern.     

Are professional forecasters overconfident?

Do professional forecasters have an accurate sense of the uncertainties surrounding their own forecasts? This paper examines forecaster overconfidence by comparing ex ante, surveyed forecaster uncertainty with ex post, realised uncertainty based on the dispersion of an individual’s forecast errors. Unlike the literature that focuses on consensus forecasts, our focus is at the level of the individual forecaster. Using microdata from the three major surveys of professional forecasters (Euro Area, US and UK), we examine real GDP growth forecasts over the period 1999–2015. Our findings show that overconfidence dominates among individual forecasters, particularly for longer forecast horizons, and that individual forecasters appear to have little understanding of their own uncertainty.     

Investor sentiment and risk appetite of real estate security market

This article proposes a new model to measure the risk appetite in absence of option prices. Without options transaction, traditional measurements cannot be made. This article establishes a Risk Appetite (RA) indicator by way of change measure and simulation, with two density functions, i.e. risk-neutral density and historical density. The RA indicators use the data from the Property Composite Index (PCI) and the Shanghai Stock Exchange Composite Index (SSECI). The empirical result shows that investors involved in the real estate security market have lower RA compared to those in the general security market. Particularly, RA indicators for both indices started to fall markedly in early 2008 and even more so after September 2008. The changes in RA suggest that the overall investors’ attitudes nowadays towards China's stock market are never as pessimistic as before.     

Modelling agricultural land use allocation in regional Australia

An analysis of the drivers of agricultural land use is important for policy makers as the issues of climate change and food security become increasingly prominent in the political landscape. This paper analyses the role of prices, total land holdings and climate on land use in Australia. The analysis relates to a unique comprehensive coverage of commodity types at a regional level. An explicit treatment of missing data and the novel use of cluster analysis is employed within a partial adjustment framework for modelling land allocation. The majority of commodity types across regions exhibit significant degrees of slow partial adjustment for land allocation, the frequency of slow adjustment is greatest with crops and livestock and weakest for vegetables. In general, relative own and cross prices, total land holdings and rainfall only have a minor impact on short‐term land allocations, however numerous individual commodity/regional combinations have identified significant short‐run impacts.     

A quantitative analysis of trade policy responses to higher world agricultural commodity prices

The worldwide spike in prices of agricultural commodities in 2007–2008 elevated food security and social stability issues to the forefront, especially in many food-deficit countries. In order to mitigate the global food commodity price pressure on domestic markets, several major exporting and importing countries, mostly developing economies, adopted trade policy changes such as export bans (or raising export restrictions) or reducing import tariffs during the same period. This paper estimates the potential impacts of these policies on the world prices and trade of major agricultural commodities using a set of multi-country, multi-commodity, and partial-equilibrium models. Our findings suggest that over all, the trade policy responses in various countries increased the prices of all agricultural commodities, although the impact on the total net trade varies by commodity. The simulation results show that the overall impact of trade policy distortions on the world rice price is most significant at 24%, followed by wheat (14%) and barley (9%). In general, the poorer food-deficit countries/regions, which have limited power to manipulate their trade policies, experienced higher price increases compared to those major trading countries that adopted policy interventions. Also, the developing countries that are net importers which did not implement trade policy interventions experienced significant welfare losses resulting from interventions implemented by other major trading countries.