Ex Post Assessments of Members with a Longer-Term Program Engagement—Revised Guidance Note

Policy Papers ◽  
2010 ◽  
Vol 2010 (15) ◽  
Author(s):  
Keyword(s):  
Financial System ◽  
Financial Sector ◽  
Global Level ◽  
Consultation Process ◽  
International Financial System ◽  
Country Level ◽  
Guidance Note ◽  
Ex Post ◽  
Program Engagement ◽  
Analytical Tools

Financial sector issues and policies are central to the Fund’s surveillance mission, as the recent crisis has amply demonstrated, and the institution has placed a high priority on enhancing the coverage and depth of analysis of financial sector issues in surveillance. Achieving this goal requires far-reaching operational and resource adjustments, which are already underway. However, these alone may not be enough. Changes in the Fund’s mandate and modalities of surveillance may also be needed. A key goal of these changes should be to strengthen multilateral surveillance. New analytical tools and effective forms of engagement at the global level are crucial for financial surveillance, given an increasingly interconnected and globalized international financial system. At the same time, financial surveillance at the country level should also be strengthened and become a central part of the Article IV consultation process.

Staff Guidance Note for the Conduct of Ex Post Peer Reviewed Assessments of Members with Longer-Term Program Engagement

Policy Papers ◽  
2016 ◽  
Vol 16 (65) ◽  
Author(s):  
Keyword(s):  
Policy Support ◽  
The Past ◽  
Guidance Note ◽  
Ex Post ◽  
Program Engagement ◽  
Operational Aspects

This note updates guidance on key operational aspects of the policy on Longer-Term Program Engagement (LTPE). The updated guidance reflects operational changes following the Board’s decision on April 30, 2015 to replace Ex Post Assessments (EPAs) for members with LTPEs with succinct ex post peer reviewed assessments (PRAs)1 to reflect on the lessons from the past for the design of successor arrangements or usage of the Policy Support Instrument (PSI).

Offshore Financial Centers - The Assessment Program - A Progress Report

Policy Papers ◽  
2006 ◽  
Vol 2006 (58) ◽  
Author(s):  
Keyword(s):  
Financial System ◽  
Financial Sector ◽  
Progress Report ◽  
Second Phase ◽  
Executive Directors ◽  
Assessment Program ◽  
International Financial System ◽  
Standard Component ◽  
Financial Center ◽  
Sector Work

This paper updates Executive Directors on the progress since February 2005 in implementing the second phase of the offshore financial center (OFC) program as agreed in November 2003 (see PIN No. 03/138 at http://www.imf.org). At that time, Directors recognized that OFCs could pose prudential and financial integrity risks to the international financial system. In this context, Directors agreed that the monitoring of OFCs' activities and their compliance with supervisory and integrity standards should become a standard component of the financial sector work of the Fund. They also requested periodic updates on the progress with implementation of the program. Earlier updates were provided in March 2004 (Offshore Financial Centers—The Assessment Program—An Update) and February 2005 (Offshore Financial Centers—The Assessment Program—A Progress Report). With the completion of the first round of assessments, staff have begun implementing the second phase of the program.

Deepening Integration

2017 ◽  
Author(s):  
Yilmaz Akyüz
Keyword(s):  
Emerging Economies ◽  
Financial Integration ◽  
Foreign Currency ◽  
Financial System ◽  
The United States ◽  
Bank Loans ◽  
Capital Inflows ◽  
Resident Participation ◽  
International Financial System ◽  
Private And Public

After recurrent crises with severe consequences in the 1990s and early 2000s EDEs have become even more closely integrated into what is now widely recognized as an inherently unstable international financial system. This chapter discusses the factors accelerating global financial integration of EDEs, including monetary policies in major advanced economies, notably the United States. It examines capital inflows and outflows, external balance sheets, the size and composition of gross external assets and liabilities, distinguishing between equity and debt, private and public sectors, local currency and foreign currency debt, bond issues and bank loans, and cross-border and local lending by international banks. It provides data and information on the currency composition of external debt, and non-resident participation in domestic financial markets of emerging economies. These are used to identify the changes in the depth and pattern of integration of emerging economies into the international financial system since the early 1990s.

Predicting Influential Users in Online Social Network Groups

2021 ◽  
Vol 15 (3) ◽  
pp. 1-50
Author(s):  
Andrea De Salve ◽  
Paolo Mori ◽  
Barbara Guidi ◽  
Laura Ricci ◽  
Roberto Di Pietro
Keyword(s):  
Online Social Networks ◽  
Online Social Network ◽  
Research Perspective ◽  
Ex Post ◽  
Time Period ◽  
Future Time Period ◽  
Academic Researchers ◽  
Influential Users ◽  
Analytical Tools ◽  
Share Information

The widespread adoption of Online Social Networks (OSNs), the ever-increasing amount of information produced by their users, and the corresponding capacity to influence markets, politics, and society, have led both industrial and academic researchers to focus on how such systems could be influenced . While previous work has mainly focused on measuring current influential users, contents, or pages on the overall OSNs, the problem of predicting influencers in OSNs has remained relatively unexplored from a research perspective. Indeed, one of the main characteristics of OSNs is the ability of users to create different groups types, as well as to join groups defined by other users, in order to share information and opinions. In this article, we formulate the Influencers Prediction problem in the context of groups created in OSNs, and we define a general framework and an effective methodology to predict which users will be able to influence the behavior of the other ones in a future time period, based on historical interactions that occurred within the group. Our contribution, while rooted in solid rationale and established analytical tools, is also supported by an extensive experimental campaign. We investigate the accuracy of the predictions collecting data concerning the interactions among about 800,000 users from 18 Facebook groups belonging to different categories (i.e., News, Education, Sport, Entertainment, and Work). The achieved results show the quality and viability of our approach. For instance, we are able to predict, on average, for each group, around a third of what an ex-post analysis will show being the 10 most influential members of that group. While our contribution is interesting on its own and—to the best of our knowledge—unique, it is worth noticing that it also paves the way for further research in this field.

Modelling the UK Banking Sector

2010 ◽  
Vol 214 ◽  
pp. F67-F72
Author(s):  
Ray Barrell ◽  
Simon Kirby ◽  
E. Philip Davis
Keyword(s):  
Banking Sector ◽  
National Income ◽  
Financial System ◽  
Financial Sector ◽  
Equation Model ◽  
Dsge Models ◽  
Real Economy ◽  
Equilibrium Models ◽  
Return To Equilibrium ◽  
Dynamic Stochastic

The financial crisis that emerged during 2007 and overwhelmed the financial system in late 2008 also brought to the fore some of the obvious failings of the style of modelling that had been fashionable in central banks in the previous decade. The shift to Dynamic Stochastic General Equilibrium models (DSGE) of whatever sort left no real scope for money and financial markets to have an impact on the real economy. This was in part because equilibrium models based on theory are unlikely to be designed to cope with a period of disequilibrium, which is when the financial system becomes important in macroeconomics. DSGE models come in various guises, and it was common to operate with a three-equation model with demand, supply and the interest rate as the equations. It is hard to see how the financial sector could fit into this, or what use it would be even if it were included. Larger DSGE models that respect the national income identity are easier to augment with a financial sector; but even that developed by the US Federal Reserve (see Edge, Kiley and Laforte, 2010) tends to return to equilibrium rather more rapidly than seems reasonable.

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