Sparse Signals in the Cross‐Section of Returns

This paper applies the Least Absolute Shrinkage and Selection Operator (LASSO) to make rolling one‐minute‐ahead return forecasts using the entire cross‐section of lagged returns as candidate predictors. The LASSO increases both out‐of‐sample fit and forecast‐implied Sharpe ratios. This out‐of‐sample success comes from identifying predictors that are unexpected, short‐lived, and sparse. Although the LASSO uses a statistical rule rather than economic intuition to identify predictors, the predictors it identifies are nevertheless associated with economically meaningful events: the LASSO tends to identify as predictors stocks with news about fundamentals.     

What's in a name? Definitions and conceptualisations of teleworking and homeworking

Interest in paid work performed in the home increasingly focuses on the concept of telework but debate over definitions continues. This paper discusses aspects of this debate and argues that project-specific definitions are useful and inevitable. The assertion that a single definition should be used by all research in this area is challenged.     

EDITORIAL: TAX REFORM AND SIMPLIFICATION

Major tax reform to simplify the UK tax system is possible. Merging income taxes, social security taxes and corporation tax into only a single flat-rate of tax on all incomes would be a radical start. Avoiding taxes on income and expenditure which are 'too high' requires major reductions in government spending, mainly on the welfare state. Given the political will, over a period of years we really can hugely improve the UK tax system.     

A Paleoeconomic Theory of Co-Evolution and Extinction of Domesticable Animals

One Pleistocene mystery is why early North Americans eradicated their large, potentially domesticable animals (e.g., horses), whereas early Europeans did not. A commonly‐held hypothesis is that European species were evasive due to co‐evolution with hominids, whereas North American animals were naïve and unable to adapt quickly enough when experienced human hunters arrived from Eurasia. We explore this hypothesis with a paleoeconomic model of co‐evolution that integrates human hunting investments and wildlife population responses. We find that investments in hunting ability, based on the relative scarcity of prey species, could have mattered more than wildlife ‘naivety’ in explaining the extinction.     

Restricted electricity use among poor urban households

For a variety of reasons, this article argues, electricity must be seen by policy‐makers in South Africa not as the sole provider of all future household energy needs, but rather as one component of an energy mix which includes such ‘transitional’ fuels as coal, gas and paraffin. The reasons for this are that electricity is expensive for poor households; it is subject to power failures and disconnections for non‐payment; the poor find it difficult to monitor and to control their consumption; appliances are expensive and several are required to make best use of electricity; people prefer other fuels because they are familiar and have strong personal and cultural associations, and because Eskom is not trusted owing to its past ties to illegitimate local authorities and misunderstanding of electricity and how its use is monitored and charged for. Further, it is mistaken to equate ‘development’ with total electrification: most developed countries have fuel mixes which include gas and coal, particularly for cooking and heating. Accepting an affordable fuel mix for the poor in particular would focus attention on the problems currently associated with paraffin, gas and coal, namely fires, poisoning and air pollution.     

Negotiation support using the Graph Model for Conflict Resolution

The Graph Model for Conflict Resolution is a flexible methodology for systematically studying strategic conflicts in the real world, and is therefore a natural tool for negotiation support. The basic definitions underlying the graph model are reviewed, and the techniques for analysis and interpretation are discussed. The modeling and analysis of a case study, an international trade negotiation concerning the export of Canadian softwood lumber to the United States, are used to demonstrate the practical application of the Graph Model for Conflict Resolution as a negotiation support tool. The modeling and analysis is carried out using the GMCR software system. The ability of the Graph Model for Conflict Resolution to provide insights and advice to negotiators is emphasized.