Intra-Group Competition and Inter-Group Conflict: An Application to Northern Ireland

This paper reviews four economic theories of leadership selection in conflictual settings. The first of these by Cukierman and Tomassi (1998) labeled the ‘information rationale’, argues that hawks may actually be necessary to initiate peace agreements. The second labeled the ‘bargaining rationale’ borrowing from Hamlin and Jennings (2007) agrees with the conventional wisdom that doves are more likely to secure peace, but post-conflict there are good reasons for hawks to be rationally selected. The third found in Jennings and Roelfsema (2008) is labeled the social psychological rationale. This captures the idea of a competition over which group can form the strongest identity, so can apply to group choices which do not impinge upon bargaining power. As in the bargaining rationale, dove selection can be predicted during conflict, but hawk selection post-conflict. Finally, the expressive rationale is discussed which predicts that regardless of the underlying structure of the game (informational, bargaining, psychological) the large group nature of decision-making by making individual decision makers non-decisive in determining the outcome of elections may cause them to make choices based primarily on emotions which may be invariant with the mode of group interaction, be it conflictual or peaceful. Finally, the paper analyses the extent to which the theories can throw light on Northern Ireland electoral history over the last 25 years.

Modeling Dependence Structure and Forecasting Portfolio Value-at-Risk with Dynamic Copulas

We study the asymmetric and dynamic dependence between financial assets and demonstrate, from the perspective of risk management, the economic significance of dynamic copula models. First, we construct stock and currency portfolios sorted on different characteristics (ex ante beta, coskewness, cokurtosis and order flows), and find substantial evidence of dynamic evolution between the high beta (respectively, coskewness, cokurtosis and order flow) portfolios and the low beta (coskewness, cokurtosis and order flow) portfolios. Second, using three different dependence measures, we show the presence of asymmetric dependence between these characteristic-sorted portfolios. Third, we use a dynamic copula framework based on Creal et al. (2013) and Patton (2012) to forecast the portfolio Value-at-Risk of long-short (high minus low) equity and FX portfolios. We use several widely used univariate and multivariate VaR models for the purpose of comparison. Backtesting our methodology, we find that the asymmetric dynamic copula models provide more accurate forecasts, in general, and, in particular, perform much better during the recent financial crises, indicating the economic significance of incorporating dynamic and asymmetric dependence in risk management.