Intraday pairs trading strategies on high frequency data: the case of oil companies

This paper introduces novel ‘doubly mean-reverting’ processes based on conditional modelling of model spreads between pairs of stocks. Intraday trading strategies using high frequency data are proposed based on the model. This model framework and the strategies are designed to capture ‘local’ market inefficiencies that are elusive for traditional pairs trading strategies with daily data. Results from real data back-testing for two periods show remarkable returns, even accounting for transaction costs, with annualized Sharpe ratios of 3.9 and 7.2 over the periods June 2013–April 2015 and 2008, respectively. By choosing the particular sector of oil companies, we also confirm the observation that the commodity price is the main driver of the share prices of commodity-producing companies at times of spikes in the related commodity market.     

The Return Performance of Cubic Market Model: An Application to Emerging Markets

This article studies the performance of the high-order moment capital asset pricing model (CAPM) market models in emerging markets. We apply the cubic market model (4-moment CAPM) to 16 emerging market stock indices ranging from January 2010 to September 2015. Performance of the model is evaluated through the Fama and MacBeth’s two-step regression and through different corrections proposed in the literature, as well as generalized method of moments (GMM) estimation. According to Fama–MacBeth’s procedure, CAPM, the quadratic and cubic market models seem to be insignificant for the analyzed sample; however, the GMM estimation shows that quadratic model is valid for Indian, Polish, and Thai country indices, whereas cubic market model is accurate for Indian country index.     

Value Relevance of Environmental Provisions Pre‐ and Post‐IFRS

The purpose of this paper is to compare the value relevance of environmental provisions as recorded under Canadian/U.S. GAAP and IFRS accounting frameworks with consideration of the impact of voluntarily issuing stand‐alone sustainability reports. The value relevance of environmental provisions is tested using a modified Ohlson (1995) model. We exploit IFRS reconciliations as a quasi‐experimental setting to conduct this comparison. Results indicate that environmental provisions recorded under either framework only act as liabilities for oil and gas firms that release stand‐alone sustainability reports. For other firms in the oil and gas industry, and the mining industry, the liability nature of these provisions appears to be discounted by the market. Furthermore, for firms in the oil and gas industry that do not have stand‐alone CSR reports, provisions appear to be interpreted by the market as a costly signal about future growth. Instead of downwardly affecting market values, this information is associated with higher market values. In terms of the transition to IFRS, we find that, while the IFRS provisions are significantly higher than under former GAAP, they do not improve value relevance for investors. Accounting standard setters should consider examining the changes in the current standards from the original Canadian environmental provision reporting requirements under Capital Assets section 3060.39, as it was rightfully shown to be a relevant proxy for unbooked liabilities (Li and McConomy, 1999; Bewley, 2005) rather than earnings expectancy. The study builds upon prior research to examine the value of accounting standards that have gone through significant changes.     

Nontraditional student withdrawal from undergraduate accounting programmes: a holistic perspective

A collaborative project of several Quebec universities, this study investigates nontraditional student withdrawal from undergraduate accounting programmes. A nontraditional student is older than 24, or is a commuter or a part-time student, or combines some of these characteristics. Univariate and multivariate analyses of student dropout factors were performed. A logistic regression for full-time students indicates several significant determinants of student withdrawal: returning to school after working for some time, enrolment in a non-first choice programme, dissatisfaction with programme choice and courses, and low grade point average (GPA). For part-time students, low GPA is the main explanatory factor for student withdrawal. Other factors appear to be instrumental in withdrawal decisions, such as management of external resources (time and family responsibilities) for women. The results suggest that students would benefit from university support services to acquire learning strategies that improve perseverance. Lastly, in-class learning activities that help bolster grades could decrease student withdrawal rates.     

Examining the Patterns of Goodwill Impairments in Europe and the US

We examine the patterns of goodwill impairments in Europe and in the US over the period from 2006 to 2015, for a sample of more than 35,000 firm-year observations. We define the timeliness of goodwill impairments as the frequency of accounting impairments conditional to indications of economic impairments. We measure indications of economic impairment with three metrics: equity market value minus equity book value less than goodwill, market-to-book smaller than one and negative earnings before interest, tax, depreciation and amortisation (EBITDA). Our research strategy leads us to draw very different conclusions than those in the recent EFRAG (2016) study. While median levels of goodwill on the books between US and European firms are relatively similar, we find several indications that US firms recognise timelier impairments, at least during 2008 and 2009, that is, the early years of the financial crisis. We further document that US impairers write down a much greater percentage of their beginning balance of goodwill than European impairers. During the financial crisis, the median level of impairment by US firms was 63% of opening goodwill in 2008 and 40% in 2009, whereas median European write-downs were only 6% and 7% of opening goodwill, respectively. Even though European firms are more likely to impair over multiple years, the cumulative impairments never come close to the level of US firms, be it in a single year or cumulative over multiple years. We also find that the frequency of accounting impairment is small compared to the number of firms presenting evidence of economic impairment: only 20–25% of firms recognise impairments depending on the measure of economic impairment. This has often been interpreted by academics as a sign of untimely write-offs. Accounting differences between US Generally Accepted Accounting Principles and International Financial Reporting Standards are unlikely to explain our results. One caveat of our analysis is that it does not allow us to draw conclusions on whether the observed differences between US and European firms are driven by differences in conditional conservatism and/or big bath accounting practices.     

Secrets to design an effective message on Facebook: an application to a touristic destination based on big data analysis

The objective of this research is to identify which are the key variables for designing a message in a social network that can be used by an advertiser to generate Positive/Negative Engagement. The message’s design variables have been classified into four main groups: (i) Message Tools (presence of text, images, video, labels, applications, interactive games and events calendar or others), (ii) Appropriate Message Structure (length and intelligibility), (iii) Informative Cues (links to the brand, orientation towards the product or the brand, topics relevant to the audience, and a remuneration’s promise) and (iv) Persuasive and Emotional Cues (emotional signals, valence, endorsement and influencer mentions). The focus has been a tourist destination: Brand Spain that is advertised through Facebook. A content analysis was carried out and regression analysis with optimal scaling was used on 180 Spain brand’s publications; 57,626 audience reactions to such publications; and 1361 audience comments on the Brand Spain Official Fan Page. According to our results, from the four blocks of predictive variables, only two of them are useful to predict Positive/Negative Engagement: (i) the use of Message Tools (videos), and (ii) the use of informative cues (relevant topics, links on posts, and post’s orientation towards product).     

Identifying micro-destinations and providing statistical information: a pilot study in the Canary Islands

Municipalities and regions are often used as an object of tourism analysis at the subnational level. This occurs because administrative borders are used to implement tourism policies and collect statistical information. However, administrative boundaries may not always be suitable for studying tourism destinations at a local level. Sometimes, particularly in high-density tourism destinations, several differentiated tourism areas occupy a single municipality; tourism areas may, and often do, extend beyond municipal boundaries and tourism destinations may not occupy the whole of the municipal area. As such, a new level of analysis is often required: the micro-destination. There are few tourism concepts as imprecise as that of the destination. Therefore, the process of identifying and establishing the boundaries of a micro-destination is by no means a straightforward one. This paper presents six criteria for establishing the boundaries of this type of tourism area. Of these six, the two primary criteria used are: the concentration of tourism establishments; and tourism typologies and supply characteristics. These criteria have been applied as part of a pilot study in the Canary Islands. Statistical information for nine micro-destinations is generated using the geolocation of tourism establishments together with information obtained from both supply-side and demand-side surveys.     

The insolvent subsidiary and liability of the parent corporation in the USA,Argentina, and UNCITRAL

The increasing unacceptability of the concept of entity law and the emergence of the doctrine of enterprise law with respect to many aspects of the legal relationships of parent and subsidiary corporations particularly in insolvent situations is a very interesting issue. This change is very significant because it reflects a growing unwillingness on the part of the courts and legislatures to continue accepting the traditional view of corporate law when it no longer corresponds to the economic reality of the modern business enterprise in a complex industrialized international society. This paper examines the American case law and in particular the decisions that have imposed liability where a company is liable for the obligations of an insolvent subsidiary and by contrast the decisions that have denied liability. The paper also examines the position in Argentina within the Argentine law and the UNCITRAL recommendations in respect of liability issues within corporate groups in insolvency. Copyright © 2010 John Wiley & Sons, Ltd.     

Reconfiguration,restructuring and firm performance: Dynamic capabilities and environmental dynamism

Research summary: Reorganization has been proposed as a key dynamic capability. This study compares the performance outcomes of two forms of reorganization, differing in their pervasiveness: organizational restructuring and organizational reconfiguration. Our dynamic panel data analysis of large U.S. corporations between 1985 and 2004 finds contrasting performance outcomes for these two forms of reorganization: in general, the more pervasive restructuring is associated with positive performance outcomes, while the more limited reconfiguration is associated with negative performance outcomes. However, outcomes vary by environment. Consistent with dynamic capabilities theory, we find evidence that in dynamic environments reconfiguration outcomes turn positive, while restructuring outcomes turn negative. We discuss implications for dynamic capabilities theory and managerial policy. Managerial summary: Firms need to reorganize in order to adapt to change. This study compares the financial performance consequences of two forms of reorganization: organizational restructurings and organizational reconfigurations. Restructurings involve fundamental change in organizational principles and are typically irregular; reconfigurations involve incremental change and are frequent. Examining a set of large U.S. corporations, we find these two forms of reorganization have contrasting financial consequences, depending on context. In the general case, fundamental restructurings have positive consequences, while incremental reconfigurations have negative consequences. However, this general result reverses in specifically dynamic environments, where reconfigurations are positive financially, while restructurings are negative. We conclude that the relative frequency of reconfigurations helps adaptation in dynamic environments. Managers should choose forms of reorganization according to the rate of environmental change. Copyright © 2016 John Wiley & Sons, Ltd.     

Playing the synthesizer with Canadian data: Adding polls to a structural forecasting model

Election forecasting has become a fixture of election campaigns in a number of democracies. Structural modeling, the major approach to forecasting election results, relies on ‘fundamental’ economic and political variables to predict the incumbent’s vote share usually a few months in advance. Some political scientists contend that adding vote intention polls to these models—i.e., synthesizing ‘fundamental’ variables and polling information—can lead to important accuracy gains. In this paper, we look at the efficiency of different model specifications in predicting the Canadian federal elections from 1953 to 2015. We find that vote intention polls only allow modest accuracy gains late in the campaign. With this backdrop in mind, we then use different model specifications to make ex ante forecasts of the 2019 federal election. Our findings have a number of important implications for the forecasting discipline in Canada as they address the benefits of combining polls and ‘fundamental’ variables to predict election results; the efficiency of varying lag structures; and the issue of translating votes into seats.