Financial clusters,industry groups,and stock return correlations

Industry classifications are used by investors, economists, and policy makers for a great variety of purposes. The traditional economic‐activity‐based systems (Global Industry Classification Standard, North American Industry Classification System, Standard Industrial Classification, and Fama–French) have been supplemented in recent years by alternative classification systems. Our purpose is to provide another alternative system that forms classification groups based on the structure of firm financial statements. Using cluster analysis, a multivariate tool that forms groups where their characteristics are similar within groups and distinct across groups, we form clusters of large U.S. firms based on their common‐size financial statements (percentage breakdowns of balance sheets and income statements). We characterize the financial clusters based on their industry classifications and other economic information and assess the ability of financial clusters and industry groups, separately and jointly, to explain stock return correlations of all pairs of firms. Our results demonstrate that using financial clusters and industry groups together proves advantageous relative to using either alone.     

Optimal portfolio allocation under the probabilistic VaR constraint and incentives for financial innovation

We characterize the investor’s optimal portfolio allocation subject to a budget constraint and a probabilistic VaR constraint in complete markets environments with a finite number of states. The set of feasible portfolios might no longer be connected or convex, while the number of local optima increases exponentially with the number of states, implying computational complexity. The optimal constrained portfolio allocation may therefore not be monotonic in the state–price density. We propose a type of financial innovation, which splits states of nature, that is shown to weakly enhance welfare, restore monotonicity of the optimal portfolio allocation in the state-price density, and reduce computational complexity. We are grateful to Ken Kavajecz and seminar participants at Harvard Business School, London School of Economics, Maastrict University, ZEI Bonn, and Danske Bank Symposium on Asset allocation and Value-at-Risk: Where Theory Meets Practice for comments on an earlier version of this paper. We also benefitted from the suggestions of two anonymous referees. Our papers can be downloaded from www.RiskResearch.org.     

Clean technology — Innovation and environmental regulation

The development and diffusion of clean technologies has an important role to play in preventing pollution. Government must address the issue of how firms can be given the necessary incentive to develop environmentally sound production techniques and products. This paper focus on how subsidies can — under certain restrictive conditions — stimulate innovation. Subsidization is usually assumed to involve unit subsidies for pollution reduction. Unit subsidies have little to do with the subsidy schemes in actual use. Our focus is on subsidy schemes specifically designed to promote the development of clean technologies through the use of grants/financial aid. Based on data from the development projects initiated through The Danish Clean Technology Programme we analyze how environmental innovations take place when the polluters, their suppliers and consultants are actively engaged in the development processes. The main merit of subsidy schemes like the Danish one is its direct focus on the innovation processes and the active incorporation of the network of firms surrounding the polluters. Our findings lead us to conclude that when it comes to subsidization, the role of government should be redefined. Government can act as a matchmaker by providing firms with informative incentives and necessary contacts for finding more efficient technological solutions to specific environmental problems.     

Fairness is intuitive

In this paper we provide new evidence showing that fair behavior is intuitive to most people. We find a strong association between a short response time and fair behavior in the dictator game. This association is robust to controls that take account of the fact that response time might be affected by the decision-maker’s cognitive ability and swiftness. The experiment was conducted with a large and heterogeneous sample recruited from the general population in Denmark. We find a striking similarity in the association between response time and fair behavior across groups in the society, which suggests that the predisposition to act fairly is a general human trait.     

Discretionary Disclosures to Risk‐Averse Traders: A Research Note

Verrecchia (1983) investigates a manager's incentives for costly, discretionary disclosure of his information to risk‐averse traders when the functional form of prices is exogenously specified. We extend Verrecchia (1983) by deriving the endogenously determined functional form of prices that would arise when all traders have constant risk tolerance. We show that these endogenously determined prices are inconsistent with the assumed prices in Verrecchia (1983) when the manager elects to not disclose. We derive the manager's disclosure strategy for our setting and extend the comparative static results in Verrecchia (1990) for risk‐neutral traders to a setting where traders have constant risk tolerance and prices are endogenously derived. Further, in our setting, discretionary disclosure does not affect how traders price risk of different outcomes. Also, we offer a representation of risk‐averse traders' prices using risk‐adjusted distributions. Finally, these results provide implications for empirical‐archival discretionary disclosure studies.     

Fat tails,VaR and subadditivity

Financial institutions rely heavily on Value-at-Risk (VaR) as a risk measure, even though it is not globally subadditive. First, we theoretically show that the VaR portfolio measure is subadditive in the relevant tail region if asset returns are multivariate regularly varying, thus allowing for dependent returns. Second, we note that VaR estimated from historical simulations may lead to violations of subadditivity. This upset of the theoretical VaR subadditivity in the tail arises because the coarseness of the empirical distribution can affect the apparent fatness of the tails. Finally, we document a dramatic reduction in the frequency of subadditivity violations, by using semi-parametric extreme value techniques for VaR estimation instead of historical simulations.     

The social shaping approach to technology foresight

The social shaping of technology (SST) approach has been developed as a response and extension to the ideas of techno-economic rationality and linear conceptions of technology development and its consequences. The SST approach seems especially promising in areas of technology where visions are manifold, societal interests conflicting, and applications and markets are non-existing or still under construction. The emerging high technology areas and several areas of more sustainable development like organic food production and renewable energy are examples of this kind, where techno-economic networks are unstable or under construction and social and environmental potentials and risks difficult, if not impossible to assess. The paper explores the potential of a social shaping of technology approach to technology foresight within such technology areas and presents the methodological aspects herein: structure versus contingency, actor-network approach, laboratory programmes, techno-economic networks, actor worlds, development arenas. Experiences based on a recent Danish green technology foresight project concerned with environmental risks and opportunities related to nano-, bio- and ICT-technologies and foresight activities in relation to food are used as empirical references.     

Protest Responses in Contingent Valuation

A significant number of respondents to contingent valuation surveys tend to either state a zero bid, or refuse to state a bid at all, for reasons associated with the process of valuation. These protest responses are routinely removed from contingent valuation samples because it is assumed that they are not indicative of respondents true values. The censoring of protest responses has led to the emergence of a definitional controversy. One view is that the definition of protest responses and the rules for censoring them are dependent on whether the practitioner conceives of the contingent valuation survey as a market or as a referendum. However, what is not acknowledged is the possibility that protest responses and their meaning may vary according to the type of good being valued, the elicitation format, and the interaction between these elements and external factors. This potential renders the development of unambiguous rules for censoring protest responses difficult. Moreover, when willingness to pay is viewed as a behavioural intention, it becomes important to determine what the responses actually mean. This approach does not assume an interpretative position a priori against which the responses should be judged, but seeks to inform an existing understanding which is inadequate.     

谁在用我的元器件?

供应链熟知的一条经验是:在某种程度上,供应链中大量应用的元器件的最初应用,都始于工程师为原型产品设计的某个部分.如果你恰好生产那种元器件,那么未来几年内你会收获颇丰.