Does accounting choice influence US investment in non-US companies? Evidence from US institutional investment in Australian companies

Previous research asserts that companies that choose accounting methods more familiar to investors reduce information asymmetry and increase credibility of their financial statements to those investors, thereby attracting higher levels of foreign investment. This study examines the variation in accounting policies associated with institutional investment in Australian equity. The results suggest that large US institutional holdings in Australian companies are associated with American Depositary Receipt listing and, incrementally, choice of accounting methods that conform to US Generally Accepted Accounting Principles (GAAP). Although making accounting choices in compliance with US GAAP is significantly associated with higher levels of institutional ownership in a statistical sense, examination of the specific differences in accounting choices suggests that the differences in informational content are relatively minor.

A factor-augmented VAR approach : the effect of a rise in the US personal income tax rate on the US and Canada

In this paper a factor-augmented vector autoregressive (FAVAR) model is estimated to characterize the dynamic effects of shocks in the personal income tax rate in the United States on United States and Canadian economies. The representation and the estimate of the FAVAR model is based on Stock and Watson (2005) and the shocks are recovered applying the identification scheme proposed by Bernanke et al. (2005); this method allows impulse response functions to be generated for all the variables in the dataset and provides a description of the domestic and international transmission mechanisms of United States movements in the personal income tax rate. A distinguishing feature of our model is the disaggregation of traded goods sector where imports and exports are disaggregated into 12 and 13 industries, respectively. This provides extra information on the domestic and international transmission mechanism across the two countries. The results show that the FAVAR approach generates a reasonable characterisation of the effects of United States movements in the US personal income tax rate on the United States economy and its transmission to the Canadian economy.

GOM : new genetic optimizing model for broadcasting tree in MANET

Data broadcasting in a mobile ad-hoc network (MANET) is the main method of information dissemination in many applications, in particular for sending critical information to all hosts. Finding an optimal broadcast tree in such networks is a challenging task due to the broadcast storm problem. The aim of this work is to propose a new genetic model using a fitness function with the primary goal of finding an optimal broadcast tree. Our new method, called Genetic Optimisation Model (GOM) alleviates the broadcast storm problem to a great extent as the experimental simulations result in efficient broadcast tree with minimal flood and minimal hops. The result of this model also shows that it has the ability to give different optimal solutions according to the nature of the network.

Applying genetic algorithm for optimizing broadcasting process in ad-hoc network

Optimizing broadcasting process in mobile ad hoc network (MANET) is considered as a main challenge due to many problems, such as Broadcast Storm problem and high complexity in finding the optimal tree resulting in an NP-hard problem. Straight forward techniques like simple flooding give rise to Broadcast Storm problem with a high probability. In this work, genetic algorithm (GA) that searches over a population that represents a distinguishable ‘structure’ is adopted innovatively to suit MANETs. The novelty of the GA technique adopted here to provide the means to tackle this MANET problem lies mainly on the proposed method of searching for a structure of a suitable spanning tree that can be optimized, in order to meet the performance indices related to the broadcasting problem. In other words, the proposed genetic model (GM) evolves with the structure of random trees (individuals) ‘genetically’ generated using rules that are devised specifically to capture MANET behaviour in order to arrive at a minimal spanning tree that satisfies certain fitness function. Also, the model has the ability to give different solutions depending on the main factors specified such as, ‘time’ (or speed) in certain situations and ‘reachability’ in certain others.

The research-teaching nexus : what do national teaching awards tells us?

This article addresses two questions that are part of a broader debate about the relationship between teaching and research: are outstanding university teachers engaged in research and are they disseminating their teaching expertise to other university teachers? We address these questions through an analysis of the research and publications of the 2005 winners of the competitive, national awards for university teaching in Australia. The analysis indicates that outstanding university teachers are active researchers, but are unlikely to publish about their teaching or improving teaching practice in universities. The findings have policy implications for the separation of teaching and research within and between universities, and raise questions about the contribution of teaching awards to the wider improvement of university teaching. As such, the article issues a caution to policy makers and university administrators against making pre‐emptive decisions about the relationship between teaching and research based on questionable assumptions.