Measuring systemic importance of financial institutions: An extreme value theory approach

This paper proposes a set of market-based measures on the systemic importance of a financial institution or a group of financial institutions, each designed to capture different aspects of systemic importance of financial institutions. Multivariate extreme value theory approach is used to estimate these measures. Using six big Canadian banks as the proxy for Canadian banking sector, we apply these measures to identify systemically important banks in Canadian banking sector and major risk contributors from international financial institutions to Canadian banking sector. The empirical evidence reveals that (i) the top three banks, RBC Financial Group, TD Bank Financial Group, and Scotiabank, are more systemically important than other banks, while we also find that the size of a financial institution should not be considered as a proxy of systemic importance; (ii) compared to the European and Asian banks, the crashes of the U.S. banks, on average, are the most damaging to Canadian banking sector, while the risk contribution to the Canadian banking sector from Asian banks is quite lower than that from banks in the U.S. and euro area; (iii) the risk contribution to Canadian banking sector exhibits “home bias”, that is, cross-country risk contribution tends to be smaller than domestic risk contribution.     

Risk-based classification of supplier relationships

The management and exploitation of external resources has increased and become a new source of business success. This has given rise to various new risks and therefore increased the need for collaborative risk management and learning. The objective of this paper is to explore the differences in risk management and learning across supplier relationships classified through network risks. The paper provides a theoretical review of supplier relationships and risk management, as well as a survey-based empirical study conducted in one case company's supply network. A set of network risks and risk-management measures is developed by means of factor analysis, and a supplier classification by means of cluster analysis. According to the results, the exploitation of collaborative risk management and learning is highest among the most strategic supplier relationships. A classification typology based on suppliers’ opinions helps both parties in the relationship and enables the efficient exploitation of mutual risk management with collaborative learning as one of its keystones.     

Characteristics of piloting longitudinal birth cohort surveys: a systematic review

Quality & Quantity - This paper aims to provide a comprehensive overview of piloting approaches, systemize piloting processes, and underline good practices in large scale longitudinal birth...     

An Intelligent Distributed System for Strategic Decision Making

The decision-making process in strategic planning is often too complex to be handled by conventional methods. Strategic planning problems (building new plans, new product planning, etc.) belong to the class of problems called ill-structured by H. Simon. They involve a decomposition of the main problem into a set of subproblems, a reasoning process at the subproblem level, and then a coordinated and aggregated process to build a global solution. Because partial solutions are generated without having a complete view of the global objective, this type of decision-making process very often generates incoherent and contradictory hypotheses and actions. Therefore, the main problem is to find a way to achieve coherence and coordination among decisions made locally by different agents, at different levels.Recent advances in Artificial Intelligence, particularly in the field of multi-agent theory, offer great promises in modeling strategic planning processes. In this article we present a general framework called 'A Coherent Plan of Coordinated Actions (CPCA)' for building intelligent distributed strategic decision making systems which integrates advances in both distributed decision making and Distributed Artificial Intelligence. We then describe a multi-blackboard system, ARISTOTE, which is aimed at helping corporate managers address the feasibility and coherence of a plan of actions.     

Proxy-quality thresholds: Theory and applications

We consider alternative models of a regression containing a proxy for an unobserved regressor. For each model at most two pieces of prior information are necessary to determine the sign of any regressor coefficient: the sign of the partial correlation between the proxy and the unobserved regressor, and a lower bound on the partial or simple correlation between the proxy and the unobserved regressor. We apply our technique to investment and leverage regressions that contain a proxy for the incentive to invest. In both cases proxy quality must be high for the coefficient of interest to be non-zero.     

The real effects of delisting: Evidence from a regression discontinuity design

We study how the delisting of a firm’s stock, and the accompanying drop in liquidity, causally affects a firm’s real economic decisions. Although delisting is endogenous, we identify a causal effect by using regression discontinuity design (RDD). This technique suits the delisting problem because the probability of delisting rises discontinuously when observable variables pass known thresholds. We find that delisting results in a modest decline in investment and cash saving and an important and robust decline in employment.     

Integrating future-oriented technology analysis and risk assessment methodologies

This paper examines the potential of integrating future-oriented technology analysis (FTA) with risk assessment methodologies and tools, with the aim of developing more proactive risk assessments and also systematically including risk assessment in future-oriented technology analysis. The similarities and development challenges of foresight, Technology Analysis (TA) and risk assessment methodologies are discussed in the light of the empirical material gathered from projects performed at VTT. Among the projects are IRRIIS project focusing on risk assessment of critical infrastructures, INNORISK project aiming at managing opportunities, risk and uncertainties in new business creation and a project related to the climate change (CES). The case projects are positioned according to their important design dimensions (informative vs. instrumental outcomes; consensual vs. diverse future perspectives, extensive vs. exclusive stakeholder involvement, and autonomous vs. fixed management). The common and complementary features of FTA and risk assessment are discussed, suggesting new ways to evolve the modular design when integrating FTA and risk assessment methodologies and tools.     

‘It Doesn't Matter How Big or Small You Are…There's a Position For You’: Body Image Among Female Tackle Football Players

The purpose of this study was explore the body image experiences of women who play tackle football. Data included semi-structured interviews with 15 players on a women's tackle football team in Western Canada. Data were analyzed thematically and objectification theory was used to interpret the findings. Themes that emerged included: a) improved body image through physical change, appreciation of function over appearance and shifting ideals of beauty; b) importance of a social atmosphere that celebrated diverse bodies; and c) negotiation of body image on and off the field. Research has documented a connection between body image and physically active leisure, but much about the nature of the relationship is still unclear. The findings of this study provide insight into elements of physically active leisure (e.g., social atmosphere or nature of the activity) which can be used to promote positive body image, health, and wellness in leisure settings.     

Hispanic Ethnicity,English‐Skill Investments,and Earnings

Analyzing synthetic cohorts in the 1980 and 1990 Public Use Microdata Samples, we find that Mexican‐Americans and other Hispanics acquired English fluency at a faster pace than Puerto Ricans and Cuban‐Americans during the 1980s. Additional results indicate that English‐skill investments differently influenced the earnings distributions of these ethnic groups.     

Decomposing China–Japan–U.S. trade: Vertical specialization,ownership, and organizational form

We use the US International Trade Commission's uniquely detailed 1995–2007 Chinese Customs data to better understand the pattern of trade between China and its two largest trading partners, Japan and the United States. Our review finds that only a small share of these flows can be characterized as arm's length, one-way trade in final goods. Instead, we find extensive two-way trade, deep vertical specialization, concentration of trade in computer and communication devices, and a prominent role for foreign-invested enterprises. While these characteristics define both bilateral relationships, important differences between the two pairs do emerge, suggesting that trade costs influence the method by which multinationals choose to integrate their production with China. Consequently, we argue that dialogue on East Asian trade liberalization should include the possibility of significant production gains for the US from its inclusion in any regional agreements.