932 resultados para Pre-1914 Sovereign Debt Market


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Effective enforcement and compliance with EU law is not just a legal necessity, it is also of economic interest since the potential of the Single Market will be fully exploited. Enforcement barriers generate unjustified costs and hindrances or uncertainty for cross-border business and might deprive consumers from receiving the full benefit of greater choice and/or cheaper offers. The EU has developed several types of enforcement efforts (preventive initiatives, pre-infringement initiatives and formal infringement procedures). More recently, the emphasis has been placed on effective prevention. This CEPS Policy Brief analyses the functioning of one preventive mechanism (the 98/34 Directive) and assesses its potential to detect and prevent technical or other barriers in the course of the last 25 years. Based on an empirical approach, it shows that this amazing mechanism has successfully prevented thousands of new technical barriers from arising in the internal goods market.

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In countries that have experienced rapid economic development, the need to establish more efficient markets in which private property can be constructed has induced some innovative solutions. One such solution is the phenomenon of a pre-sales market of the kind that can be observed in Taiwan, Korea, and more recently in China. Developers sell their property before building is started in order to acquire financing for the development companies. This paper discusses the process and, by recognising the analogy between the pre-sales market and forwards markets, analyses the implications for developers

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This paper focuses on the possible instruments for ‘ex-ante’/’preventive’/’precautionary’ interventions which can be deployed by the ESM and the ECB in order to prevent a debt crisis in a eurozone country. The potential of Eurobonds will also be discussed in this crisis management perspective. The first part of this paper traces the underlying trends of the evolution of interest rates in eurozone countries over the last decades. The second part discusses the principles of a preventive intervention in sovereign bond markets for the purpose of lowering borrowing costs of countries facing refinancing constraints; the limits and main issues of an ex-ante intervention will be underlined. In the third part, the properties of the ESM’s precautionary financial assistance and secondary market support facility will be discussed in details. The ECB preemptive intervention policies and, in particular, the OMT will be analyzed in the fourth part of the paper. The most likely course of action – a combined intervention by the ESM and the ECB – will be discussed in the fifth part. Finally, I will point out the core challenges of introducing Eurobonds as additional instruments to mitigate the rise of borrowing costs in the short term.

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The government’s extensive programme for stimulating the economy has enabled China to maintain high economic growth after the global financial crisis in 2008. However, this success has come at the price of a number of negative economic phenomena and the consequences they have had are the major challenge for the government today. The vast programme of investments in infrastructure, construction and fixed assets, which has been the main source of economic growth over the past few years, has caused a rapid increase in China’s debt from 158% of GDP in 2007 to 282% in 2014. Along with the local governments in charge of implementing the programme, the Chinese sector of state-owned enterprises (SOEs) has been heavily burdened by the stimulation policy. The sector’s profitability has fallen, its indebtedness has increased and management problems have been revealed.

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Non-technical losses (NTL) identification and prediction are important tasks for many utilities. Data from customer information system (CIS) can be used for NTL analysis. However, in order to accurately and efficiently perform NTL analysis, the original data from CIS need to be pre-processed before any detailed NTL analysis can be carried out. In this paper, we propose a feature selection based method for CIS data pre-processing in order to extract the most relevant information for further analysis such as clustering and classifications. By removing irrelevant and redundant features, feature selection is an essential step in data mining process in finding optimal subset of features to improve the quality of result by giving faster time processing, higher accuracy and simpler results with fewer features. Detailed feature selection analysis is presented in the paper. Both time-domain and load shape data are compared based on the accuracy, consistency and statistical dependencies between features.

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We are the first to examine the market reaction to 13 announcement dates related to IFRS 9 for over 5400 European listed firms. We find an overall positive reaction to the introduction of IFRS 9. The regulation is particularly beneficial to shareholders of firms in countries with weaker rule of law and a smaller divergence between local GAAP and IAS 39. Bootstrap simulations rule out the possibility that sampling error or data mining are driving our findings. Our main findings are also robust to confounding events and the extent of the media coverage for each event. These results suggest that investors perceive the new regulation as shareholder-wealth enhancing and support the view that stronger comparability across accounting standards of European firms is beneficial to international investors and outweighs the costs of poorer firm-specific information.