Towards a market oriented approach: employer requirements and implications for undergraduate economics programs

The decline in enrolments in economics degrees and majors has been the focus of much concern in recent times. In 2001, two of the current researchers published a paper outlining a framework with which future investigation into this issue could be conducted. Essentially this paper argued that a market oriented approach, which takes into account the value students and employers place on economics studies may point the way to a solution to the problem. As a first step in developing such an approach it is necessary to determine what employers require of the economics graduates they hire. A survey was conducted in 2002. This paper presents the results of this survey and discusses some of the ramifications for the teaching of undergraduate economics.

External monitoring, managerial ownership and form performance in Malaysian capital market: a GMM based panel data approach

This study re-examines whether the structure of share ownership by both directors and institutional ownership provides explanation for firm performances. These relationships are modelled and estimated using GMM based dynamic panel data over a period from 1997 to 2001 with a sample of 100 CI components companies listed on Main Board of Malaysia. The findings provide strong evidence of simultaneity between firm performance and managerial ownership. Although an insignificant relationship between firm performance and institutional ownership is~ observed, the institutional holdings provide strong substitute for managerial ownership with a strong negative relationship between managerial ownership and institutional ownership. This is in line with the managerial incentive hypothesis, which suggests that manager's share in the firm's ownership leads to better performance and the monitoring substitute hypothesis, which suggests that managerial ownership could be effectively replaced by institutional ownership.

The decomposition of housing market variations : a panel data approach

Purpose – This paper develops a new decomposition method of the housing market variations to analyse the housing dynamics of the Australian eight capital cities.
Design/methodology/approach – This study reviews the prior research on analysing the housing market variations and classifies the previous methods into four main models. Based on this, the study develops a new decomposition of the variations, which is made up of regional information, homemarket information and time information. The panel data regression method, unit root test and F test are adopted to construct the model and interpret the housing market variations of the Australian capital cities.
Findings – This paper suggests that the Australian home-market information has the same elasticity to the housing market variations across cities and time. In contrast, the elasticities of the regional information are distinguished. However, similarities exit in the west and north of Australia or the south and east of Australia. The time information contributes differently along the observing period, although the similarities are found in certain periods.
Originality/value – This paper introduces the housing market variation decomposition into the research of housing market variations and develops a model based on the new method of the housing market variation decomposition.

Australia's defence policy : a market-state approach?

In 2002, Professor Philip Bobbitt published 'The Shield of Achilles', in which he postulates that the nation-state is evolving into a fundamentally new form - the market state. It is my contention that Australia is evolving into something approximating Bobbitt's market-state and therefore its defence policy shuld be informed by market-state strategy.

Direct versus search engine traffic : an innovative approach to demand analysis in the property market

Purpose – The application of “Google” econometrics (Geco) has evolved rapidly in recent years and can be applied in various fields of research. Based on accepted theories in existing economic literature, this paper seeks to contribute to the innovative use of research on Google search query data to provide a new innovative to property research.

Design/methodology/approach – In this study, existing data from Google Insights for Search (GI4S) is extended into a new potential source of consumer sentiment data based on visits to a commonly-used UK online real-estate agent platform (Rightmove.co.uk). In order to contribute to knowledge about the use of Geco's black box, namely the unknown sampling population and the specific search queries influencing the variables, the GI4S series are compared to direct web navigation.

Findings – The main finding from this study is that GI4S data produce immediate real-time results with a high level of reliability in explaining the future volume of transactions and house prices in comparison to the direct website data. Furthermore, the results reveal that the number of visits to Rightmove.co.uk is driven by GI4S data and vice versa, and indeed without a contemporaneous relationship.

Originality/value – This study contributes to the new emerging and innovative field of research involving search engine data. It also contributes to the knowledge base about the increasing use of online consumer data in economic research in property markets.

The effect of financial constraints, investment policy, product market competition and corporate governance on the value of cash holdings

This study empirically investigates the value shareholders place on excess cash holdings and how shareholders’ valuation of cash holdings is associated with financial constraints, firm growth, cash-flow uncertainty and product market competition for Australian firms from 1990 to 2007. Our results indicate that the marginal value of cash holdings to shareholders declines with larger cash holdings and higher leverage. However, firms that are more financially constrained, that have higher growth rates and that face greater uncertainty exhibit a higher marginal value of cash holdings. These findings are consistent with the explanation that excess cash holdings are not necessarily detrimental to firm value. Firms with costly external financing and that also save more cash for current operating and future investing needs find that the market values these cash hoarding policies favourably. Finally, there is limited evidence of an association between various corporate governance measures and the value of cash holdings for a shorter sample period.

A panel error correction approach to explore spatial correlation patterns of the dominant housing market in Australian capital cities

Purpose - A panel error correction model has been developed to investigate the spatial correlation patterns among house prices. This paper aims to identify a dominant housing market in the ripple down process. Design/methodology/approach - Seemingly unrelated regression estimators are adapted to deal with the contemporary correlations and heterogeneity across cities. Impulse response functions are subsequently implemented to simulate the spatial correlation patterns. The newly developed approach is then applied to the Australian capital city house price indices. Findings - The results suggest that Melbourne should be recognised as the dominant housing market. Four levels were classified within the Australian house price interconnections, namely: Melbourne; Adelaide, Canberra, Perth and Sydney; Brisbane and Hobart; and Darwin. Originality/value - This research develops a panel regression framework in addressing the spatial correlation patterns of house prices across cities. The ripple-down process of house price dynamics across cities was explored by capturing both the contemporary correlations and heterogeneity, and by identifying the dominant housing market.

A hybrid approach to fuzzy risk analysis in stock market

The analysis and prediction of stock market has always been well recognized as a difficult problem due to the level of uncertainty and the factors that affect the price. To tackle this challenge problem, this paper proposed a hybrid approach which mines the useful information utilizing grey system and fuzzy risk analysis in stock prices prediction. In this approach, we firstly provide a model which contains the fuzzy function, k-mean algorithm and grey system (shorted for FKG), then provide the model of fuzzy risk analysis (FRA). A practical example to describe the development of FKG and FRA in stock market is given, and the analytical results provide an evaluation of the method which shows promote results. © 2013 IEEE.