Correction Processes in Consumer Choice

Consumers sometimes recognize that irrelevant contextual factors may influence their judgments and decisions. When such factors are detected, consumers might engage in correction processes to counteract unwanted influences in their judgments and decisions. An experiment demonstrated that correction processes can reduce the magnitude of the compromise effect and the attraction effect.     

Contagion inside the credit default swaps market: The case of the GM and Ford crisis in 2005

We study the General Motors (GM) and Ford crisis in 2005 in order to determine if the credit default swap (CDS) market is subject to contagion effects. Has the crisis spread to the whole (CDS) market? To answer this question, we study the correlations between CDS premia, by using a sample of 226 CDSs on major US and European firms. We do evidence a significant rise in correlations during the crisis episode, but little “shift-contagion” as defined by Forbes and Rigobon (2002). When using dynamic measures of correlations (EWMA and DCC-GARCH), we also show that correlations significantly increased during the crisis, especially in the first week.     

The Impact of Corporate Governance and Audit Quality on the Cost of Private Loans*

The objective of this paper is to examine whether banks discriminate between firms on the basis of their financial condition when assessing the credit default risk, and to what extent corporate governance and auditor quality mitigate such risks in the pricing of new bank loans. The results indicate that, depending on the probability of bankruptcy, banks rely on different monitoring devices. For firms with a low probability of bankruptcy, banks do not rely on the quality of corporate governance or the auditor's industry specialization. However, auditor tenure and a change in auditor affect the spread. For firms with a high probability of bankruptcy, the spread is adjusted for the quality of corporate governance and the auditor's specialization. These results are robust to alternative specifications and measures.     

Usefulness of comprehensive income reporting in Canada

In January 2005 the Canadian Accounting Standards Board (AcSB) issued three new accounting standards that require Canadian firms to mark-to-market certain financial assets and liabilities and recognize the holding gains and losses related to these items as other comprehensive income or as part of net income. The Board’s objectives for issuing the new standards are (i) to harmonize Canadian GAAP with US and International GAAP, (ii) to enhance the transparency and usefulness of financial statements, and (iii) to keep pace with changes in accounting standards in other countries that are moving towards fair value accounting. This paper investigates empirically whether requiring Canadian companies to report comprehensive income and its components provides the securities market with incremental value-relevant information over the traditional historical-cost earnings approach.Previous empirical studies provide mixed evidence on the value relevance of other comprehensive income and its components. This mixed evidence may be attributed partially to the use of as if methodology to construct an ex-ante measure of other comprehensive income prior to the implementation of SFAS 130, which introduces measurement error. In contrast, this study uses actual data on other comprehensive income for a sample of Canadian firms cross-listed in the US in the period 1998–2003. We find evidence that available-for-sale and cash flow hedges components are significantly associated with price and market returns. We also find that aggregate comprehensive income is more strongly associated (in terms of explanatory power) with both stock price and returns compared to net income. However, we find that net income is a better predictor of future net income relative to comprehensive income. Our findings suggest that mandating all Canadian firms to adopt the new accounting standards is expected to enhance the usefulness of financial statements. Our findings, therefore, should be of interest to Canadian accounting policy makers as they provide ex-ante evidence on the potential usefulness of mandating firms to report comprehensive income and the components of other comprehensive income in their financial statements.     

Revealing different understandings of soil held by scientists and farmers in the context of soil protection and management

This paper aims to analyse and draw together results from similar studies in England, Switzerland and France which investigated farmers’ understanding of soil and compared it with that of scientists, researchers and advisors (collectively called scientists in this analysis). A range of methods were used across the three studies and different theoretical approaches, looking at forms of knowledge, local practice of knowledge production and conceptions of reality, were employed to explain the results. Despite the different contexts, methodologies and theoretical approaches in the three studies, the results reveal similar patterns of difference in farmer and scientist understanding of soil. In the English study, farmers demonstrate a ‘know-how’ form or intuitive working knowledge of soil while advisors rely on scientifically established forms of ‘know-why’ and seek to understand and explain soil processes. Similarly in the Swiss study farmers’ and scientists’ differing perceptions are directed and shaped by their respective aims, methods and context of work. In the French study, farmers and researchers are shown to have different conceptions of soil, they attribute different meaning to the same activities, and use different words and language to describe the same features. In all three studies understanding is shown to be cultural and contextual, as such an integrative theoretical framework is proposed.     

Cash flow at risk valuation of mining project using Monte Carlo simulations with stochastic processes calibrated on historical data

Mining projects are subject to multiple sources of market uncertainties such as metal price, exchange rates, and their volatilities. Assessing a mining project's exposure to market risk usually requires Monte Carlo simulations to capture a range of probable outcomes. The probability of a major loss is extracted from the probability density function of simulated prices at a given time into the future. This article proposes an approach to calibrate the stochastic process to be used in Monte Carlo simulations. The simulations are then used for measuring the cash flow at risk of a mining project. To assess the performance of the proposed approach, a case study is conducted on a mining project. The results show that the calibration approach is robust and apt at fitting various stochastic processes to historical observations.     

Multi-agent technologies in economics

This paper summarizes some of the trends in the use of multi-agent technologies in economics. Multiple agent systems, fuzzy sets and neural networks are critical tools used to investigate the emerging economics research agenda related to data mining, dynamic markets stock selection and bank stress testing. This paper reviews the contributions of four such examples.     

The alpha and omega of fund of hedge fund added value

In spite of a somewhat disappointing performance throughout the crisis, investors are showing interest in hedge funds. Still, funds of hedge funds keep on experiencing outflows. Can this phenomenon be explained by the failure of fund of hedge fund managers to deliver on their promise to add value through active management, or is it symptomatic of a move toward greater disintermediation in the hedge fund industry? We introduce a return-based attribution model allowing for a full decomposition of fund of hedge fund performance. The results of our empirical study suggest that funds of hedge funds are funds of funds like others. Strategic allocation turns out to be a crucial step in the investment process, in that it not only adds value over the long-term, but most importantly, it brings resilience precisely when investors need it the most. Fund picking, on the other hand, turns out to be a double-edged sword.