Alpha- and beta-characteristic functions in cooperative non-sidepayment games: An experimental test

This article investigates theories of payoff allocation in cooperative non-sidepayment games, that is, games where players can form coalitions and coordinate strategies but cannot redistribute payoffs via sidepayments. A labotatory experiment was conducted with 4-person, 3-strategy non-sidepayment games. The goal of this experiment was to ascertain which characteristic function, V_α(S) or V_β(S), provides the more accurate basis for payoff predictions from solution concepts. Predictions from each of three solution concepts (core, stable set, imputation set) were computed on the basis of both V_α(S) and V_β(S), making a total of six theories under test. The results showed two basic findings. First, for each of the three solutions, the prediction computed on the basis of V_α(S) was more accurate than the prediction computed from V_α(S). Second, the β-core was the most accurate of the six theories tested. Overall, these results support the view that V_β(S) is superior to V_α(S) as a basis for payoff predictions in cooperative non-sidepayment games.     

Art as an investment: risk, return and portfolio diversification in major painting markets

The present paper examines risk, return and the prospects for portfolio diversification among major painting and financial markets over the period 1976–2001. The art markets examined are Contemporary Masters, French Impressionists, Modern European, 19th Century European, Old Masters, Surrealists, 20th Century English and Modern US paintings. The financial markets comprise US Treasury bills, corporate and government bonds and small and large company stocks. In common with the published literature in this area, the present study finds that the returns on paintings are much lower and the risks much higher than conventional investment markets. Moreover, while low correlations of returns suggest that opportunities for portfolio diversification in art works alone and in conjunction with equity markets exist, the construction of Markowitz mean‐variance efficient portfolios indicates that no diversification gains are provided by art in financial asset portfolios. However, diversification benefits in portfolios comprised solely of art works are possible, with Contemporary Masters, 19th Century European, Old Masters and 20th Century English paintings dominating the efficient frontier during the period in question.     

Common factors in conditional distributions for bivariate time series

A definition for a common factor for bivariate time series is suggested by considering the decomposition of the conditional density into the product of the marginals and the copula, with the conditioning variable being a common factor if it does not directly enter the copula. We show the links between this definition and the idea of a common factor as a dominant feature in standard linear representations. An application using a business cycle indicator as the common factor in the relationship between U.S. income and consumption found that both series held the factor in their marginals but not in the copula.     

Board Composition in New Zealand: An Agency Perspective

This paper looks at board composition determinants in New Zealand. We document that the proportion of outside board members is inversely related to insider equity ownership supporting the notion that these variables are substitute mechanisms in controlling agency problems. We also find that board composition is directly related to debt, ownership concentration, and profitability and inversely related to growth and firm size. There is evidence that firms with influential CEOs have lower outside board representation. Finally, we document that the passage of the legislation reforming company and securities laws in 1993 was associated with increased outside members on the board.     

Within and Beyond Communities of Practice: Making Sense of Learning Through Participation,Identity and Practice*

abstract Situated learning theory offers a radical critique of cognitivist theories of learning, emphasizing the relational aspects of learning within communities of practice in contrast to the individualist assumptions of conventional theories. However, although many researchers have embraced the theoretical strength of situated learning theory, conceptual issues remain undeveloped in the literature. Roberts, for example, argues in this issue that the notion of ‘communities of practice’– a core concept in situated learning theory – is itself problematic. To complement her discussion, this paper explores the communities of practice concept from several perspectives. Firstly, we consider the perspective of the individual learner, and examine the processes which constitute ‘situated learning’. Secondly, we consider the broader socio‐cultural context in which communities of practice are embedded. We argue that the cultural richness of this broader context generates a fluidity and heterogeneity within and beyond communities. Finally, we argue that it is sometimes difficult to distinguish conceptually between the terms ‘participation’ and ‘practice’ because of occasional duplication of meaning. We propose, instead, a refinement of the definition to allow for greater conceptual clarity.     

Testing for ‘news’ in foreign exchange markets

Traditional tests of the role of interest rate news on foreign exchange rates are analysed and found to be of little empirical value.     

Labor's share fluctuations, biased technical change, and the business cycle

We extend the basic RBC model to allow for biased technical changes. One broad definition of biased technical changes is changes that directly affect factor elasticities. Given the link between changes in factor elasticities and factor shares, observed fluctuations in US labor's share are motivation for this study. We find that when the technology shock process is calibrated according to US labor's share dynamics, 93 percent of US GDP volatility is accounted for. The observed countercyclical nature of labor's share is accounted for, although the model correlation is too high. As well, the model exhibits business cycles that are qualitatively similar to those of the standard model with neutral technology shocks. These findings, while robust to the short-run properties of various measures of labor's share, are sensitive to the average labor's share used in calibration, e.g., departing from a baseline calibration value of 63 percent, for steady-state labor's shares of 50 percent and 70 percent the model accounts for 107 percent and 84 percent of US GDP volatility respectively.