Mining Sector Currency Risk Management Strategies: Responses to Foreign Currency Accounting Regulation

This study investigates the impact of Approved Accounting Standard ASRB 1012, Foreign Currency Translation, on the currency risk management strategies of firms in the Australian mining industry. ASRB 1012 increased the responsiveness of most mining companies' reported earnings to exchange rate movements, and it was predicted that firms would alter their capital structures in response to the increased accounting exposure. The results suggest that mining companies decreased their proportionate levels of long-term foreign debt and increased their share capital and/or reserves to mitigate the effects of the standard on their contracts. This information is useful to standard-setters seeking an awareness of the potential micro and macro-economic effects of their pronouncements.     

A Bayesian framework for combining valuation estimates

Discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estimates. Moreover, the valuation estimates typically disagree with market price. Can one form a superior valuation estimate by averaging over the individual estimates, including market price? This article suggests a Bayesian framework for combining two or more estimates into a superior valuation estimate. The framework justifies the common practice of averaging over several estimates to arrive at a final point estimate.     

Cointegration Analysis of Audit Pricing Model: A Panel Unit Root Test Approach

In this study, we provide evidence on the stationarity of real audit fees and the major explanatory variables frequently used in the audit pricing models from a pooled data set, using panel unit root tests developed by Im et al. (1997). The panel unit root test supports the hypothesis of non‐stationarity of audit fees and their major determinants. We demonstrate that variables in the audit pricing model that were previously found to have impact on audit fees may turn out to be useless when more powerful tests like panel tests are applied to these variables. Our evidence implies that failing to employ appropriate procedure to test cointegration and to specify the appropriate model for audit fees and their determinants would generate results that may have exaggerated the effects of some variables on audit fees.     

Cost-effectiveness of foreign aid programs in the baltics

After the upheavals in Central and Eastern Europe in the late 1980s and early 1990s, the Western world has given considerable aid to the fledgling democracies. In this paper we draw a summary from Baltic experience in the fields of educational programs, scientific and environmental programs, and commercial projects in banking, taxation, and energy. We analyze the motivation and identify different possible effects of foreign aid. We signal possible inefficiencies arising from the lack of coordination of foreign aid, deal with possible waste as being a form of loss in cost-effectiveness, and address the policies followed by aid-providing agencies. Finally, we suggest ways that can help to achieve cost-effectiveness by assisting the donor and recipient in maximizing benefits gained and possibly reducing costs.     

Target‐Setting,Pay for Performance,and Quality Improvement: A Case Study of Ontario Hospitals’ Quality‐Improvement Plans

This study examines whether difficult targets and quality indicators in executives' pay‐for‐performance (P4P) plans affect performance. The impact of target‐setting and P4P plans on quality improvement in the public sector is unclear. The Ontario government initiated the Quality Improvement Plan (QIP), which requires hospitals to set targets for quality indicators annually and link executive pay to target achievement since 2011. Analyzing Health Quality Ontario's database and hospitals' 2012–2013 QIPs, this study shows greater quality improvement in hospitals with difficult targets than hospitals with easy targets or without assigned targets; however, the positive impact disappears for high‐performance hospitals relative to their peers. We find no significant effect of the use of quality indicators in executives' P4P plans on quality improvement. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

Tools of Survival: Sovereign Wealth Funds in Singapore and China

The rise of sovereign wealth funds (SWFs) as major investors in the global economy has raised worries that they serve the geopolitical ends of owner countries. However, given the paramount importance of surviving domestic political competitions, SWFs are likely also tools of domestic political survival. In examining the corporate governance and underlying political environment in which SWFs in Singapore and in China operate, this paper further examines the role of political unity in directing SWF behaviour in authoritarian regimes. The main finding is that a highly unified autocracy is more likely to direct SWFs to maximise long-term profit, while a fragmented one like China is more likely to treat its SWF as an arena for domestic political and bureaucratic infighting. SWFs operating in a fragmented regime are unlikely to make long-term profit and foreign policy objectives top priorities, and their behaviour can be highly unpredictable.     

Predictive safety analytics: inferring aviation accident shaping factors and causation

This paper illustrates the development of an object-oriented Bayesian network (OOBN) to integrate the safety risks contributing to an in-flight loss-of-control aviation accident. With the creation of a probabilistic model, inferences about changes to the states of the accident shaping or causal factors can be drawn quantitatively. These predictive safety inferences derive from qualitative reasoning to conclusions based on data, assumptions, and/or premises, and enable an analyst to identify the most prominent causal factors leading to a risk factor prioritization. Such an approach facilitates a mitigation portfolio study and assessment. The model also facilitates the computation of sensitivity values based on perturbations to the estimates in the conditional probability tables. Such computations lead to identifying the most sensitive causal factors with respect to an accident probability. This approach may lead to vulnerability discovery of emerging causal factors for which mitigations do not yet exist that then informs possible future R&D efforts. To illustrate the benefits of an OOBN in a large and complex aviation accident model, the in-flight loss-of-control accident framework model is presented.