The effects of economic news on commodity prices

We assess how commodity prices respond to macroeconomic news and show that commodities have been relatively insensitive to such news over daily frequencies between 1997 and 2009 compared to other financial assets and major exchange rates. Where commodity prices are influenced by news, there is a pro-cyclical bias and these sensitivities have risen as commodities have become increasingly financialized. However, models based on news still do a relatively poor job of forecasting commodity prices at daily frequencies. We also find some asymmetries in how commodity prices respond to news, most notably for gold, which alone among commodities acts as a safe-haven when “bad” economic news emerges.     

Optimal prepayment and default rules for mortgage-backed securities

We study the optimal stopping problems embedded in a typical mortgage. Despite a possible non-rational behaviour of the typical borrower of a mortgage, such problems are worth to be solved for the lender to hedge against the prepayment risk, and because many mortgage-backed securities pricing models incorporate this suboptimality via a so-called prepayment function which can depend, at time t, on whether the prepayment is optimal or not. We state the prepayment problem in the context of the optimal stopping theory and present an algorithm to solve the problem via weak convergence of computationally simple trees. Numerical results in the case of the Vasicek model and of the CIR model are also presented. The procedure is extended to the case when both the prepayment as well as the default are possible: in this case, we present a new method of building two-dimensional computationally simple trees, and we apply it to the optimal stopping problem.     

Product attributes and models of multiple discreteness

Demand for product characteristics is examined within the context of models that allow for both corner and interior solutions corresponding to zero and non-zero demand. Product attribute information is associated with marginal utility and curvature (satiation) parameters of various utility functions. Empirical applications demonstrate the need for incorporating characteristics in a fairly general way. We also compare our approach to an ideal point and pure Lancasterian versions of our nonlinear utility model. The data support our model over either the ideal point or Lancasterian variants.     

Does consumption respond to predicted increases in cash-hand availability?: Evidence from the Italian “severance pay”

We examine whether Italian household consumption exhibits excess sensitivity to “severance pay”, a sizable lump-sum that workers receive at job termination. We find no evidence of excess sensitivity of non-durable expenditure to this anticipated cash-in-hand change.     

Optimality conditions¶and bubbles in sequential economies¶and bounded relative risk-aversion

We provide specific qualifications in order that Kuhn–Tucker type Euler equations and transversality conditions at infinity hold in stochastic equilibrium models with heterogeneous agents and where assets are traded in sequential markets. It is not assumed that uncertainty is modeled as an event-tree structure or that preferences are necessarily bounded. We also describe an important class of preferences based on bounded relative risk aversion which yields relevant simplifications. Our results are used to establish conditions that rule out asset pricing bubbles. Specific examples of economies with bubbles are also discussed. Received: 28 January 2002 / Accepted: 19 July 2002 We are grateful to the editor and an anonymous referee for their valuable comments. This research was partially supported by MURST (Italy), National Group on “Nonlinear Dynamics and Stochastic Models in Economics and Finance”.     

Diversity and Communication in Teams: Improving Problem-Solving or Creating Confusion?

Despite the rich and interdisciplinary debate on the role of diversity and communication in group problem-solving, as well as recognition of the interactions between the two topics, they have rarely been treated as a joint research issue. In this paper, we develop a computational approach aimed at modeling problem-solving agents and assess the influence of various levels of diversity and communication in teams on agents’ performance in problem-solving. By communication, we intend a conversation on the persuasiveness of the features characterizing problem-setting. By diversity, we mean differences in how agents build problem representations which allow them to access various solutions. We deploy the concept of diversity along two dimensions: knowledge amplitude, which accounts for the level of available knowledge allowing access to poorer or richer problem representations (compared with complete problem representations), and knowledge variety, which pertains to the differences in the constituents of agents’ representations. We define performance as the frequency with which diverse agents choose the same alternative representation of an agent displaying complete representations of the problem. Our results indicate that communication is more effective when agents elaborate from relatively richer problem representations, as this provides a basis for integrating the variously diverse beliefs of their teammates. Conversely, poorer diverse representations may lead to worse performance when knowledge variety also applies. Lastly, we show that the influence of communication is not monotonically positive, as increasing communication intensity performance may worsen at any level of knowledge availability and knowledge variety.