44 resultados para Stock returns


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A central element in the privatization of council housing has been the development of stock transfer policy. A variety of perspectives on this process have been explored including the impact on accountability relations; however, the tenants’ experience is almost completely absent from this literature. The paper develops a case study that draws on the experience of the tenants involved in a stock transfer. In the process stock transfers, and related accountability relations, are shown to be contested with tenant-led campaigns challenging this neoliberal inspired policy. The case study illustrates the power and financial resource asymmetries in transfer campaigns with a range of anti-democratic tactics employed by those pursuing the transfer. On the basis of a critique of neoliberalism, the stock transfer process is seen as an attack on the previous democratic control of council housing, which is replaced with ‘governance by experts and elites’ and private sector inspired corporate governance forms of accountability. Thus the paper seeks to answer two questions; how democratic is the transfer process and what are the long-term implications for democratic accountability in the social housing sector.

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Stock-recruitment (S-R) relationships are the centrepiece of fisheries management aimed at achieving maximum sustainable yield (MSY). Here we consider the possibility that the density dependence evident in S-R relations is controlled by feeding interactions alone. We simulate a food-web model with dynamic representations of intra- and interspecific size structure and a linear relation between food intake and hatchling production of adults. Population sizes of individual stocks are modified by imposing additional mortality. The predominant functional forms and the steepness of resulting S-R relationships agree well with observations. We conclude that recruitment is plausibly regulated by feeding interactions alone.

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Soil carbon stores are a major component of the annual returns required by EU governments to the Intergovernmental Panel on Climate Change. Peat has a high proportion of soil carbon due to the relatively high carbon density of peat and organic-rich soils. For this reason it has become increasingly important to measure and model soil carbon stores and changes in peat stocks to facilitate the management of carbon changes over time. The approach investigated in this research evaluates the use of airborne geophysical (radiometric) data to estimate peat thickness using the attenuation of bedrock geology radioactivity by superficial peat cover. Remotely sensed radiometric data are validated with ground peat depth measurements combined with non-invasive geophysical surveys. Two field-based case studies exemplify and validate the results. Variography and kriging are used to predict peat thickness from point measurements of peat depth and airborne radiometric data and provide an estimate of uncertainty in the predictions. Cokriging, by assessing the degree of spatial correlation between recent remote sensed geophysical monitoring and previous peat depth models, is used to examine changes in peat stocks over time. The significance of the coregionalisation is that the spatial cross correlation between the remote and ground based data can be used to update the model of peat depth. The result is that by integrating remotely sensed data with ground geophysics, the need is reduced for extensive ground-based monitoring and invasive peat depth measurements. The overall goal is to provide robust estimates of peat thickness to improve estimates of carbon stocks. The implications from the research have a broader significance that promotes a reduction in the need for damaging onsite peat thickness measurement and an increase in the use of remote sensed data for carbon stock estimations.

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We find a strong negative predictive relation between the propensity of active mutual funds to hold overpriced stocks and their subsequent performance. High-propensity funds, or overpriced funds, display poor stock picking skills as they further purchase overpriced stocks during episodes of fund inflows. Interestingly, overpriced funds attract considerable capital inflows during high sentiment episodes, after controlling for the effects of past fund performance. The overall evidence is consistent with the notion that overpriced funds, unable to improve their stock picking skills through time, target optimistic investors by engaging in marketing activities and catering to preferences for skewed returns.

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This paper investigates whether the momentum effect exists in the NYSE energy sector. Momentum is defined as the strategy that buys (sells) these stocks that are best (worst) performers, over a pre-specified past period of time (the 'look-back' period), by constructing equally weighted portfolios. Different momentum strategies are obtained by changing the number of stocks included in these portfolios, as well as the look-back period. Next, their performance is compared against two benchmarks: the equally weighted portfolio consisting of most stocks in the NYSE energy index and the market portfolio, and the S&P500 index. The results indicate that the momentum effect is strongly present in the energy sector, and leads to highly profitable portfolios, improving the risk-reward measures and easily outperforming both benchmarks.

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This study investigates the trading activity in options and stock markets around informed events with extreme daily stock price movements. We find that informed agents are more likely to trade options prior to negative news and stocks ahead of positive news. We also show that optioned stocks overreact to the arrival of negative news, but react efficiently to positive news. However, the overreaction patterns are unique to the subsample of stocks with the lowest pre-event abnormal option/stock volume ratio (O/S). This finding suggests that the incremental benefit of option listing is related to the level of option trading activity, over and beyond the presence of an options market on the firm's stock. Finally, we find that the pre-event abnormal O/S is a better predictor of stock price patterns following a negative shock than is the pre-event O/S, implying that the former may contain more information about the future value of stocks than the latter.

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This study examines the relationship between asset liquidity and stock liquidity across 47 countries. In support of the valuation uncertainty hypothesis, we find that firms with greater asset liquidity on average have higher stock liquidity. More importantly, our study shows that asset liquidity plays amore significant role in resolving valuation uncertainty in countries with poor information environment. For example, we find that the asset–stock liquidity relationship is stronger in countries with poor accounting standards. We further find evidence that after the adoption of IFRS, the improved accounting information environment results in a weaker asset–stock liquidity relation, but only in countries with a strong legal regime. Finally, our study shows that the positive asset–stock liquidity relationship may be attributed to transparency and/or liquidity reasons.

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Price declines over the previous quarter lead to stronger reversals across the subsequent two months. We explain this finding based on the dual notions that liquidity provision can influence reversals, and agents that act as de facto liquidity providers may be less active in past losers. Supporting these observations, we find that active institutions participate less in losing stocks, and that the magnitude of monthly return reversals fluctuates with changes in the number of active institutional investors. Thus, we argue that fluctuations in liquidity provision with past return performance accounts for the link between return reversals and past returns.

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The genetic structure of Atlantic herring Clupea harengus L. was investigated in its north-easterly distribution in the Norwegian Sea and adjacent waters, using 23 neutral and one non-neutral (Cpa111) microsatellite loci. Fish from the suspected 2 main populations - the Norwegian spring-spawning herring (NSSH) and the Icelandic summer-spawning herring (ISSH) - were collected at spawning locations in their respective spawning seasons from 2009 to 2012. Samples were also collected from Norwegian autumn spawning locations, from different local Norwegian fjords such as the inner part of Trondheimsfjorden, Lindås pollene, Landvikvannet and Lusterfjorden, as well as from suspected Faroese spawning components. The observed level of genetic differentiation was significant but low (FST = 0.007) and mostly attributable to the differentiation of the local Norwegian fjord populations. The locus Cpa111, which was detected to putatively be under positive selection, exhibited the highest FST value (0.044). The observed genetic patterns were robust to exclusion of this locus. Landvikvannet herring was also genetically distinguishable from the 3 other fjord populations. In addition, the present study does not support genetic structuring among the ISSH and the NSSH.

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In the 19th century, firms operating in the Anglo-Indian tea trade were organised using a variety ownership forms including the partnership, joint-stock and a combination of the two known as the Managing agency. Faced with both an increasing need for fixed capital and high agency costs caused by the distance between owners and managers, the firms adapted and increasingly adopted the hybrid managing agency model to overcome these problems. Using new data from Calcutta and Bengal Commercial Registers and detailed case studies of the Assam Company and Gillanders, Arbuthnot and Co, this paper demonstrates that British entrepreneurs did not see the choice of ownership as a dichotomy or firm boundaries as fixed, but instead innovatively drew on the strengths of different forms of ownership to compete and grow successfully.

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By testing a simple asset pricing model of heterogeneous agents to characterize the power-law behavior of the DAX 30 from 1975 to 2007, we provide supporting evidence on empirical findings that investors and fund managers use combinations of fixed and switching strategies based on fundamental and technical analysis when making investment decisions. By conducting econometric analysis via Monte Carlo simulations, we show that the autocorrelation patterns, the estimates of the power-law decay indices, (FI)GARCH parameters, and tail index of the model match closely the corresponding estimates for the DAX 30. A mechanism analysis based on the calibrated model provides further insights into the explanatory power of heterogeneous agent models.