This paper documents new and empirically important interactions between cash-balance leverage dynamics. Cash ratios typically vary widely over extended horizons, with dynamics remarkably similar to (and complementary with) those of capital structure. Leverage cash interact approximately as predicted by the internal-versus-external funding regimes in Myers Majluf (1984). is quite volatile when a...

We characterize equilibrium leverage dynamics in a trade-off model which the firm can continuously adjust and cannot commit to policy ex ante. While ratchet effect leads shareholders issue debt gradually over time, asset growth maturity cause mean-revert slowly toward target. Investors anticipate future issuance raise credit spreads, fully offsetting tax benefits of new debt. Shareholders are t...

One of the goals of the government is to increase the competitiveness of domestic firms to export goods and services. Moreover, the role of exports in many economic sectors has been emphasized. There are two essential requirements for developing non-oil exports: first, the presence of firms in export markets and increasing their competitiveness; second, the survival of them in international mar...

KiWi is a framework for semantic social software applications that combines the Wiki philosophy with Semantic Web technologies. Applications based on KiWi can therefore leverage i.a. reasoning and versioning to follow both aspects and even go beyond existing technologies. For example, KiWi allows composition of content items, which poses a challenge to the versioning system. In this paper we di...

In the part-set cuing effect, cuing a subset of previously studied items impairs recall of the remaining noncued items. This experiment reveals that cuing participants with previously-studied emotional pictures (e.g., fear-evoking pictures of people) can impair recall of pictures involving the same emotion but different content (e.g., fear-evoking pictures of animals). This indicates that new e...

Deep neural networks have shown promise in collaborative filtering (CF). However, existing neural approaches are either user-based or item-based, which cannot leverage all the underlying information explicitly. We propose CF-UIcA, a neural co-autoregressive model for CF tasks, which exploits the structural correlation in the domains of both users and items. The co-autoregression allows extra de...

This paper discusses an early stage project to develop a new, enhanced interface for Trinity College Dublin (TCD) Digital Collections website. We describe the current state of the portal and outline some of the unique issues observed when examining user engagement. A major factor in our development of enhanced search tools will be to leverage the entities present in the documents to establish m...