64 resultados para Capitalisation boursière


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This cross-sectional study goes beyond the traditional performance evaluation of managed funds and extends the literature to consider fund-specific attributes that influence performance. Using a sample of 168 Australian open-ended equity funds, the risk adjusted performance is measured using three alternative evaluation techniques. We find that funds with higher management fees and long fund history have contributed to the underperformance. Along with the traditional attributes identified by the literature, market capitalisation of the security held by the fund is included as a unique attribute with significant results, indicating that funds targeting small capitalisation companies display superior performance.

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Sustainability has rapidly become one of the most important issues in wider society, where recent attention has been focused on sustainable practices in the built environment such as the design, construction and operation of new buildings. Although detached houses are one of the largest land uses in the built environment, it is surprising that relatively little research has been conducted into the implementation and demand for sustainability. Even though the technology exists for increasing sustainability in housing, it appears that little attention has been given to the added value that sustainability can give to a property.

This paper discusses recent developments in sustainability with regards to housing. It identifies and groups the various options available to a housing owner, although the focus is placed on how much the sustainable features add (or detract) from the value of the home. Consideration is given to the existing valuation methods that are used to assess the value of a residential property and also the ease of implementation.

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This cross-sectional study goes beyond the traditional performance evaluation of managed funds and extends the literature to consider fund-specific attributes that influence performance.. Using a sample of 168 Australian open-ended equity funds, the risk adjusted performance is measured using three alternative evaluation techniques. We found funds with higher management fees and senior in age have contributed to the underperformance. Along with the traditional attributes identified by the literature. market capitalisation of the security held by the fund is included as a unique attribute with significant results indicating that funds targeting small capitalisation companies display superior performance.

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In the year 2000, businesses in banking and telecom sectors worldwide re-engineered their value chain by extending their services by adapting ebusiness through dot.com launches. Subsequently, their validity became questionable with the spate of dot.com crashes and the IT stock meltdown. This book takes a retrospective view, indicating that e-business, as measured by dot.com growth trends, was a positive indicator for business growth in the sector and overall economic growth as it stimulated the respective economies. The book details an inductive analysis that studied if dot.com floats suggested any positive market capitalisation (broadly regarded as a measure of profitability) for the organisations, within two sectors, in two economies. In addition, there is detailed content analysis of global business trends, drivers, theories, sector/economy perspectives, achieved progress and instrumental cases. The book will be a view in retrospect for economists, business analysts, students of ebusiness and management (particularly MBA); academics and researchers.

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In this paper, we show that in the proposed models for economic growth, the financial system variables are generally nonparametric. We, thus, use a nonparametric panel data model to estimate the financial system-economic growth relationship. Our results suggest that as long as a country's domestic credit and private credit are above their cross-sectional mean they have a positive effect on GDP growth. We also discover that market capitalisation positively and significantly impacts GDP growth, while stocks traded (with the exception of OECD countries) has a statistically insignificant effect on GDP growth.

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Inclut la bibliographie

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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 study gives an overview of the theoretical foundations, empirical procedures and derived results of the literature identifying determinants of land prices. Special attention is given to the effects of different government support policies on land prices. Since almost all empirical studies on the determination of land prices refer either to the net present value method or the hedonic pricing approach as a theoretical basis, a short review of these models is provided. While the two approaches have different theoretical bases, their empirical implementation converges. Empirical studies use a broad range of variables to explain land values and we systematise those into six categories. In order to investigate the influence of different measures of government support on land prices, a meta-regression analysis is carried out. Our results reveal a significantly higher rate of capitalisation for decoupled direct payments and a significantly lower rate of capitalisation for agri-environmental payments, as compared to the rest of government support. Furthermore, the results show that taking theoretically consistent land rents (returns to land) and including non-agricultural variables like urban pressure in the regression implies lower elasticities of capitalisation. In addition, we find a significant influence of the land type, the data type and estimation techniques on the capitalisation rate.

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Against the background of the current discussion about the EU’s common agricultural policy (CAP) after 2013, the question of the impact of government support on land prices is crucially important. Validation of the CAP’s success also hinges on a proper assessment of a choice of policy instruments. This study therefore has the objective of investigating on a theoretical basis the effects of different government support measures on land rental prices and land allocation. The different measures under consideration are the price support, area payments and decoupled single farm payments (SFPs) of the CAP. Our approach evaluates the potential impact of each measure based on a Ricardian land rent model with heterogeneous land quality and multiple land uses. We start with a simple model of one output and two inputs, where a Cobb-Douglas production technology is assumed between the two factors of land and non-land inputs. In a second step, an outside option is introduced. This outside option, as opposed to land use of the Ricardian type, is independent of land quality. The results show that area payments and SFPs become fully capitalised into land rents, whereas in a price support scheme the capitalisation depends on per-acreage productivity. Moreover, in a price support scheme and a historical model, the capitalisation is positively influenced by land quality. Both area payments and price supports influence land allocation across different uses compared with no subsidies, where the shift tends to be larger in an area payment scheme than in a price support scheme. By contrast, SFPs do not influence land allocation.

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This deliverable provides a comparative analysis, among selected EU member states, of the investment demand of a sample of specialised field crop farms for farm buildings, machinery and equipment as determined by different types and levels of Common Agricultural Policy support. It allows for the existence of uncertainty in the price of output farmers receive and for both long- and short-run determinants of investment levels, as well as for the presence of irregularities in the cost adjustment function due to the existence of threshold-type behaviours. The empirical estimation reveals that three investment regimes are consistently identified in Germany and Hungary, across asset and support types, and in France for machinery and equipment. More traditional disinvestment-investment type behaviours characterise investment in farm building in France and the UK, across support types, and Italy for both asset classes under coupled payments. The long-run dynamic adjustment of capital stocks is consistently and significantly estimated to be towards a – mostly non-stationary – lower level of capitalisation of the farm analysed. By contrast, the expected largely positive short-run effects of an increase in output prices are often not significant. The effect of CAP support on both types of investment is positive, although seldom significant, while the proxy for uncertainty employed fails to be significant yet, in most cases, has the expected effect of reducing the investment levels.

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This paper empirically analyses a dataset of more than 7,300 agricultural land sales transactions from 2001 and 2007 to identify the factors influencing agricultural land prices in Bavaria. We use a general spatial model, which combines a spatial lag and a spatial error model, and in addition account for endogeneity introduced by the spatially lagged dependent variable as well as other explanatory variables. Our findings confirm the strong influence of agricultural factors such as land productivity, of variables describing the regional land market structure, and of non-agricultural factors such as urban pressure on agricultural land prices. Moreover, the involvement of public authorities as a seller or buyer increases sales prices in Bavaria. We find a significant capitalisation of government support payments into agricultural land, where a decrease of direct payments by 1% would decrease land prices in 2007 and 2001 by 0.27% and 0.06%, respectively. In addition, we confirm strong spatial relationships in our dataset. Neglecting this leads to biased estimates, especially if aggregated data is used. We find that the price of a specific plot increases by 0.24% when sales prices in surrounding areas increase by 1%.

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This paper investigates the determinants of agricultural land price in several regions in France over the period 1994-2011, using individual plot transaction data, with a particular emphasis on agricultural subsidies and nitrate zoning regulations. It found a positive but relatively small capitalisation effect of the total subsidies per hectare. The data revealed that agricultural subsidies capitalised, at least to some extent, but the magnitude of such a capitalisation depends on the region considered, on the type of subsidy considered, and on the location of the plot in a nitrate surplus zone or not. Only land set-aside premiums significantly capitalise into land price, while single farm payments have a significant positive capitalisation impact only for plots located in a nitrate-surplus zone.

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This Factor Markets Working Paper analyses the impact of increasing direct payments on land rents in six new EU member states in which agricultural subsidies largely increased as a result of their EU accession. The authors find that up to 25 eurocents per additional euro of direct payments is capitalised in land rents. In addition, the results show that capitalisation of direct payments is higher in more credit constrained markets, while capitalisation of direct payments is lower in countries where more land is used by corporate farms.

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Based on a detailed calculation of the recapitalisation requirements of the Greek banks, we find that the sector needs an infusion of capital, but that the level largely depends on the stringency of the capital requirements applied. An expedient quick fix to comply with the minimum capital requirements could be achieved by a bail-in of existing creditors under the EU Bank Recovery and Resolution Directive of around €5 billion, leaving only €6 billion needed for re-capitalisation. If the ‘Cypriot’ standard is applied, however, the required re-capitalisation would be €15 billion. A ‘generous’ approach, which takes into account the phasing in of the new more-stringent capital requirements until 2018, would imply a re-capitalisation of €29 billion (or more bailing-in of creditors). The re-capitalisation should be undertaken preferably by the EIB, the EBRD or the new Greek investment fund, rather than via loans from the ESM to the Greek government.

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This paper will show that short horizon stock returns for UK portfolios are more predictable than suggested by sample autocorrelation co-efficients. Four capitalisation based portfolios are constructed for the period 1976–1991. It is shown that the first order autocorrelation coefficient of monthly returns can explain no more than 10% of the variation in monthly portfolio returns. Monthly autocorrelation coefficients assume that each weekly return of the previous month contains the same amount of information. However, this will not be the case if short horizon returns contain predictable components which dissipate rapidly. In this case, the return of the most recent week would say a lot more about the future monthly portfolio return than other weeks. This suggests that when predicting future monthly portfolio returns more weight should be given to the most recent weeks of the previous month, because, the most recent weekly returns provide the most information about the subsequent months' performance. We construct a model which exploits the mean reverting characteristics of monthly portfolio returns. Using this model we forecast future monthly portfolio returns. When compared to forecasts that utilise the autocorrelation statistic the model which exploits the mean reverting characteristics of monthlyportfolio returns can forecast future returns better than the autocorrelation statistic, both in and out of sample.