Europe’s New Post-Trade Infrastructure Rules. ECMI Policy Brief No. 20, 8 November 2012

After more than a decade of indecision, the EU is finally now set to implement a consistent regulatory architecture for clearing and settlement. Following the agreement on a European market infrastructure Regulation (EMIR), the European Commission has proposed harmonised rules for centralised settlement depositaries (CSDs), while the European Central Bank is moving forward with its plans for a central eurozone settlement engine. This paper analyses three components of the new post-trade infrastructure measures: 1) the regulatory framework for and supervision of central counterparties under the new EMIR legislation, 2) the authorisation requirements of trade repositories and 3) the draft CSD Regulation and the progress with the ECB’s Target 2 Securities project. It then discusses the impact of the new rules, and argues that, analogous to the unexpected impact of MiFID on trading infrastructures, a similar EMIR revolution may be on its way.

Threshold detection: matching statistical methodology to ecological questions and conservation planning objectives

Two types of ecological thresholds are now being widely used to develop conservation targets: breakpoint-based thresholds represent tipping points where system properties change dramatically, whereas classification thresholds identify groups of data points with contrasting properties. Both breakpoint-based and classification thresholds are useful tools in evidence-based conservation. However, it is critical that the type of threshold to be estimated corresponds with the question of interest and that appropriate statistical procedures are used to determine its location. On the basis of their statistical properties, we recommend using piecewise regression methods to identify breakpoint-based thresholds and discriminant analysis or classification and regression trees to identify classification thresholds.

Adaptive project planning and management based on best practices - COBRA system

Planning a project with proper considerations of all necessary factors and managing a project to ensure its successful implementation will face a lot of challenges. Initial stage in planning a project for bidding a project is costly, time consuming and usually with poor accuracy on cost and effort predictions. On the other hand, detailed information for previous projects may be buried in piles of archived documents which can be increasingly difficult to learn from the previous experiences. Project portfolio has been brought into this field aiming to improve the information sharing and management among different projects. However, the amount of information that could be shared is still limited to generic information. This paper, we report a recently developed software system COBRA to automatically generate a project plan with effort estimation of time and cost based on data collected from previous completed projects. To maximise the data sharing and management among different projects, we proposed a method of using product based planning from PRINCE2 methodology. (Automated Project Information Sharing and Management System -�COBRA) Keywords: project management, product based planning, best practice, PRINCE2