9 resultados para Capital assets pricing model

em Archive of European Integration


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The European Commission has published its proposals for the transfer of supervisory responsibilities to the European Central Bank (ECB),1 under Article 127(6) of the TFEU, providing a comprehensive and courageous ‘first step’ towards a European banking Union, the other steps being European deposit insurance and resolution procedures. However, on a number of issues the Commission’s chosen path raises questions that should be brought out in the open and fully recognized before final deliberation by the Council.

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Stefano Micossi argues in this paper that the Basel framework for bank prudential requirements is deeply flawed and that the Basel III revision has failed to correct these flaws, making the system even more complicated, opaque and open to manipulation. In practice, he finds that the present system does not offer regulators and financial markets a reliable capital standard for banks and its divergent implementation in the main jurisdictions of the European Union and the United States has broken the market into special fiefdoms governed by national regulators in response to untoward special interests. The time is ripe to stop tinkering with minor adjustment and revisions in order to rescue the system, because the system cannot be rescued. In response to the current situation, Micossi calls for abandoning reference to risk-weighted assets calculated by banks with their internal risk management models for the determination of banks’ prudential capital, together with the preoccupation with the asset side of banks in correcting for risk exposure. He suggests that the alternative may be provided by a combination of a straight capital ratio and a properly designed deposit insurance system. It is a logical, complete and much less distortive alternative; it would serve better the cause of financial stability as well as the interest of the banks in clear, transparent and level playing field.

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It is generally assumed that any capital needs discovered by the Asset Quality Review the ECB is scheduled to finish by the end of 2014 should be filled by public funding (= fiscal backstop). This assumption is wrong, however. Banks that do not have enough capital should be asked to obtain it from the market; or be restructured using the procedures and rules recently agreed. The Directorate-General for Competition at the European Commission should be particularly vigilant to ensure that no further state aid flows to an already oversized European banking system. The case for a public backstop was strong when the entire euro area banking system was under stress, but this is no longer the case. Banks with a viable business model can find capital; those without should be closed because any public-sector re-capitalisation would likely mean throwing good money after bad.

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This Factor Markets Working Paper describes and highlights the key issues of farm capital structures, the dynamics of investments and accumulation of farm capital, and the financial leverage and borrowing rates on farms in selected European countries. Data collected from the Farm Account Data Network (FADN) suggest that the European farming sector uses quite different farm business strategies, capabilities to generate capital revenues, and segmented agricultural loan market regimes. Such diverse business strategies have substantial, and perhaps more substantial than expected, implications for the financial leverage and performance of farms. Different countries adopt different approaches to evaluating agricultural assets, or the agricultural asset markets simply differ substantially depending on the country in question. This has implications for most of the financial indicators. In those countries that have seen rapidly increasing asset prices at the margin, which were revised accordingly in the accounting systems for the whole stock of assets, firm values increased significantly, even though the firms had been disinvesting. If there is an asset price bubble and it bursts, there may be serious knock-on effects for some countries.

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This paper analyses agricultural and rural capital factor markets in the three European Union candidate countries: Croatia, the Former Yugoslav Republic (FYR) of Macedonia and Turkey. Aggregate capital market indicators and their dynamics, and factors driving agricultural and rural capital markets are analysed and compared in these countries. In general, agricultural and rural capital markets show similarities with general capital market developments, but agricultural and rural capital markets are facing specific credit constraints related to agricultural assets and rural fixed asset specificities, which constrain their mortgages and collateral use. Credit market imperfections have limited access to the investment credits necessary for the restructuring of small-scale individual farms. Government transfers are used to differing extents in the candidate countries, but generally tend to increase over time. Remittances and donor funds have also played an important role in agricultural and rural economy investments.

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This paper aims to identify drivers of physical capital adjustments in agriculture. It begins with a review of some of the most important theories and modelling approaches regarding firms’ adjustments of physical capital, ranging from output-based models to more recent approaches that consider irreversibility and uncertainty. Thereafter, it is suggested that determinants of physical capital adjustments in agriculture can be divided into three main groups, namely drivers related to: i) expected (risk-adjusted) profit, ii) expected societal benefits and costs and iii) expected private nonpecuniary benefits and costs. The discussion that follows focuses on the determinants belonging to the first group and covers aspects related to product market conditions, technological conditions, financial conditions and the role of firm structure and organization. Furthermore, the role of subjective beliefs is emphasized. The main part of this paper is concerned with the demand side of the physical capital market and one section also briefly discusses some aspects related to supply of farm assets.

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This paper analyses the consequences of enhanced biofuel production in regions and countries of the world that have announced plans to implement or expand on biofuel policies. The analysis considers biofuel policies implemented as binding blending targets for transportation fuels. The chosen quantitative modelling approach is two-fold: it combines the analysis of biofuel policies in a multi-sectoral economic model (MAGNET) with systematic variation of the functioning of capital and labour markets. This paper adds to existing research by considering biofuel policies in the EU, the US and various other countries with considerable agricultural production and trade, such as Brazil, India and China. Moreover, the application multi-sectoral modelling system with different assumptions on the mobility of factor markets allows for the observation of changes in economic indicators under different conditions of how factor markets work. Systematic variation of factor mobility indicates that the ‘burden’ of global biofuel policies is not equally distributed across different factors within agricultural production. Agricultural land, as the pre-dominant and sector-specific factor, is, regardless of different degrees of inter-sectoral or intra-sectoral factor mobility, the most important factor limiting the expansion of agricultural production. More capital and higher employment in agriculture will ease the pressure on additional land use – but only partly. To expand agricultural production at global scale requires both land and mobile factors adapted to increase total factor productivity in agriculture in the most efficient way.

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This paper investigates the impacts of high interest rates for borrowed capital and credit restrictions on the structural development of four European regions. The method used is the model AgriPoliS which is a spatial-dynamic agent-based model. It is able to provide aggregated results at the regional level, but very individual results as well by considering farms as independent entities. Farms can choose between different investment options during the simulation. Several scenarios with different interest rates for borrowed capital on the one hand as well as with different levels of credit restrictions on the other hand are tested and compared. Results show that higher interest rates have less impact on declining production branches than on expanding ones. If they have the possibility farms invest in the most profitable production branch which relative profitability might have changed with high interest rates. Credit restrictions lead farms to choose smaller and cheaper investments than expensive and large ones. Results also show that income losses in both cases due to under-investment compared to the reference situation are partially compensated by lower rental prices. The impacts on structural change also differ depending on the region and the initial situation. In summary, credit subsidies or imperfections on credit markets might have indirect impacts on the type of dominant investment and therefore on the whole regional agricultural sector as well.

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Global current account imbalances widened before the 2007/2008 crisis and have narrowed since. While the post-crisis adjustment of European current account deficits was in line with global developments (though more forceful), European current account surpluses defied global trends and increased. We use panel econometric models to analyse the determinants of medium-term current account balances. Our results confirm that higher fiscal balances, higher GDP per capita, more rapidly aging populations, larger net foreign assets, larger oil rents and better legal systems increase the medium-term current account balance, while a larger growth differential and a higher old-age dependency ratio reduce it. European current account surpluses became excessive during the past twelve years according to our estimates, while they were in line with model predictions in the preceding three decades. Generally, the gap between the actual current account and its fitted value in the model has a strong predictive power for future current account changes. Excess deficits adjust more forcefully than excess surpluses. However, in the 2004-07 period, excess imbalances were amplified, which was followed by a forceful correction in 2008-15, with the exception of European surpluses.