590 resultados para Tilite Premium


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Multi-peril crop insurance is a valuable risk management tool which allows you to insure against losses on your farm due to adverse weather conditions, price fluctuations, and unavoidable pests and diseases. It shifts unavoidable production risks to an insurance company for the payment of a fixed amount of premium per acre. This publication assists readers in understanding the basics of the federal crop insurance program.

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In April 2012 Argentinean Government nationalized 51% of Repsol shares in YPF. Expropiation of YPF is a new step in a broad list of protectionist and interventionist decisions, such as the nationalization of Aerolíneas Argentinas, nationalization of private pension plans, or the amendments of the Central Bank regulations to make the use of reserves more flexible. Institutions set the rules of the game for citizens and companies, allowing incentives and creating expectations. Nationalization of the above mentioned Argentinean companies has created legal uncertainty bringing a relevant increase in the risk premium as a result. Privatization of YPF and its later nationalization, together with the company shareholder composition, and resulting international disputes will be addressed in this article.

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Field lab: Entrepreneurial and innovative ventures

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In the past few years, there has been a concern among economists and policy makers that increased openness to international trade affects some regions in a country more than others. Recent research has found that local labor markets more exposed to import competition through their initial employment composition experience worse outcomes in several dimensions such as, employment, wages, and poverty. Although there is evidence that regions within a country exhibit variation in the intensity with which they trade with each other and with other countries, trade linkages have been ignored in empirical analyses of the regional effects of trade, which focus on differences in employment composition. In this dissertation, I investigate how local labor markets' trade linkages shape the response of wages to international trade shocks. In the second chapter, I lay out a standard multi-sector general equilibrium model of trade, where domestic regions trade with each other and with the rest of the world. Using this benchmark, I decompose a region's wage change resulting from a national import cost shock into a direct effect on prices, holding other endogenous variables constant, and a series of general equilibrium effects. I argue the direct effect provides a natural measure of exposure to import competition within the model since it summarizes the effect of the shock on a region's wage as a function of initial conditions given by its trade linkages. I call my proposed measure linkage exposure while I refer to the measures used in previous studies as employment exposure. My theoretical analysis also shows that the assumptions previous studies make on trade linkages are not consistent with the standard trade model. In the third chapter, I calibrate the model to the Brazilian economy in 1991--at the beginning of a period of trade liberalization--to perform a series of experiments. In each of them, I reduce the Brazilian import cost by 1 percent in a single sector and I calculate how much of the cross-regional variation in counterfactual wage changes is explained by exposure measures. Over this set of experiments, employment exposure explains, for the median sector, 2 percent of the variation in counterfactual wage changes while linkage exposure explains 44 percent. In addition, I propose an estimation strategy that incorporates trade linkages in the analysis of the effects of trade on observed wages. In the model, changes in wages are completely determined by changes in market access, an endogenous variable that summarizes the real demand faced by a region. I show that a linkage measure of exposure is a valid instrument for changes in market access within Brazil. By using observed wage changes in Brazil between 1991-2000, my estimates imply that a region at the 25th percentile of the change in domestic market access induced by trade liberalization, experiences a 0.6 log points larger wage decline (or smaller wage increase) than a region at the 75th percentile. The estimates from a regression of wages changes on exposure imply that a region at the 25th percentile of exposure experiences a 3 log points larger wage decline (or smaller wage increase) than a region at the 75th percentile. I conclude that estimates based on exposure overstate the negative impact of trade liberalization on wages in Brazil. In the fourth chapter, I extend the standard model to allow for two types of workers according to their education levels: skilled and unskilled. I show that there is substantial variation across Brazilian regions in the skill premium. I use the exogenous variation provided by tariff changes to estimate the impact of market access on the skill premium. I find that decreased domestic market access resulting from trade liberalization resulted in a higher skill premium. I propose a mechanism to explain this result: that the manufacturing sector is relatively more intensive in unskilled labor and I show empirical evidence that supports this hypothesis.

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Investors value the special attributes of monetary assets (e.g., exchangeability, liquidity, and safety) and pay a premium for holding them in the form of a lower return rate -- The user cost of holding monetary assets can be measured approximately by the difference between the returns on illiquid risky assets and those of safer liquid assets -- A more appropriate measure should adjust this difference by the differential risk of the assets in question -- We investigate the impact that time non-separable preferences has on the estimation of the risk-adjusted user cost of money -- Using U.K. data from 1965Q1 to 2011Q1, we estimate a habit-based asset pricing model with money in the utility function and find that the risk adjustment for risky monetary assets is negligible -- Thus, researchers can dispense with risk adjusting the user cost of money in constructing monetary aggregate indexes

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Doutoramento em Engenharia Agronómica - Instituto Superior de Agronomia - UL

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Doutoramento em Engenharia Florestal e dos Recursos Naturais - Instituto Superior de Agronomia - UL

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Integrated production (IP) is part of the Brazilian government program to promote sustainable agricultural production. IP ensure minimum food quality standards for domestic market, and export. Furthermore, IP is considered a good option to reduce negative environmental impacts of intensive crops in tropical Savannas, including common beans, as a Brazilian staple food. Although its advantages, and the government’s effort to promote IP, few growers are adopting IP. Maybe, the perception about IP usefulness and/or its ease of use is not too clear. Moreover, the production sector is driven by market signs, and there is few information on the consumer's preferences toward IP certified products in Brazil. In this study, we sought to identify some critical factors that can influence the IP adoption in beans' production. Moreover, we sought to verify the consumers’ perceptions and intention of purchasing IP certified beans (hypothetical product). This report comprises four chapters: (1) an introduction illustrating the context in which the research was based; (2) the results on the study of IP adoption based on the Technology Acceptance Model (TAM); (3) the choice experiment results applied to identify consumers preferences and willingness-to-pay (WTP) for IP label; (4) the results on the Theory of Planned Behaviour (TPB) applied to identify consumers’ perception toward IP certified beans. This research contributes with rich information for the beans’ supply chain, providing several insights to growers, retail and other agents, including policy makers. Beans’ production sector seems to be positively intentioned to adopt IP, but further studies should be conducted to test other adoption indicators using TAM model. Surveyed consumers are willing to pay a premium price for IP labelled beans. They showed a positive attitude toward purchasing IP labelled beans. It is an important information to motivate production sector to offer certified beans to the market.

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Resumen El presente trabajo busca esclarecer si la D.O. es una herramienta eficiente de promoción ó protección para industrias incipientes, también dimensionar la contribución de componentes intangibles, como la tradición y el patrimonio monumental, en la formación de valor del producto protegido. Para ello se realizaron evaluaciones comparativas entre DO de relevancia mundial en relación con las D.O. reconocidas oficialmente en el Perú. La conclusión es que el valor no se genera espontáneamente, que existe una gran voluntad, mayor confusión conceptual y urgente necesidad de dotar a las industrias culturales de esquemas de protección más flexibles y detener el desmontaje del patrimonio monumental que legitima, diferencia y brinda soporte a la promesa base de autenticidad. Abstract This paper seeks to clarify whether the DO is an efficient tool for the promotion or protection of infant industries. It also seeks to gauge the contribution of intangible components such as tradition and architectural heritage in the creation of value of the protected product. For this purpose, comparative evaluations were conducted between globally significant DOs and the DOs that are officially recognized in Peru. The conclusion is that value is not generated spontaneously; there is a strong will, ore conceptual confusion and an urgent need to provide cultural industries with more flexible schemes of protection, and to stop the dismantling of architectural heritage that legitimizes, differentiates and supports the promise based on authenticity.

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Whistle blowing is an act of exposing the wrongdoings in an organization, either committed by its members of the lower level or the top management. Many have agreed that whistle blowing is an effective means of deterring and detecting organizational mishaps. Whistle blowers have been referred to as canaries in the coal mine. The idea of telling the truth however, may result in exposure to uncontrolled risk by the whistle blower. The extent to which the whistle blower is protected and safe after information is leaked to the public or the relevant authority remains unknown. In the Malaysian context, whistle blowing is not new. Being honest is a custom among Malaysians. Honesty is deeply rooted in Malaysian culture and is supported by the high value Malaysian place on spiritual belief which also put a premium on moral virtue. But being loyal to the management is another thing. A critical issue that whistle blowers face is the tension between the virtues of honesty and the virtues of loyalty. The ethical dilemmas faced by the whistle blowers place them in situations where there are significant and difficult ethical conflicts. Recently, the Parliament of Malaysia has passed the Whistle Blowing Protection Act which was seen as an holistic approach to cover all Malaysians who were willing to blow the whistle. Some do not feel confident that such program under the Act can be accomplished in Malaysia as the Malaysian culture believing keeping things to ourselves. Thus the paper intends to explore the anti-retaliation precautionary factors mediate by the culture that will most likely explain motivational issues subordinates face in publicizing the wrongs that are harmful to the organization in Malaysia.

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The New Business Tax System (Debt and Equity) Act established a set ofcriteria by which convertible securities could be classified as “debt-like” or “equity-like” for tax purposes. Using data on 256 convertible issues made in Australia between 2001 and 2012, we show that there is a strong relation between, on the one hand, a convertible’s ex ante classification determined at issuance using the tax criteria and, on the other hand, its ex post classification based on the conversion premium at maturity. We conclude that the criteria have been an efficient means of classifying convertibles. We also find an industry effect where debt-like convertibles are more likely to be associated with the resources, metals and mining firms, whilst equity-like are mainly issued by the finance sector. This finding is consistent with the solution to a finance-sequencing problem in the former case, and the impact of capital adequacy regulation in the latter.

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We examine stock return predictability for India and find strong evidence of sectoral return predictability over market return predictability. We show that mean-variance investors make statistically significant and economically meaningful profits by tracking financial ratios. For the first time in this literature, we examine the determinants of time-varying predictability and mean-variance profits. We show that both expected and unexpected shocks emanating from most financial ratios explain sectoral return predictability and profits. These are fresh contributions to the understanding of asset pricing.

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Carbon payments can help mitigate both climate change and biodiversity decline through the reforestation of agricultural land. However, to achieve biodiversity co-benefits, carbon payments often require support from other policy mechanisms such as regulation, targeting, and complementary incentives. We evaluated 14 policy mechanisms for supplying carbon and biodiversity co-benefits through reforestation of carbon plantings (CP) and environmental plantings (EP) in Australia's 85.3 Mha agricultural land under global change. The reference policy - uniform payments (bidders are paid the same price) with land-use competition (both CP and EP eligible for payments), targeting carbon - achieved significant carbon sequestration but negligible biodiversity co-benefits. Land-use regulation (only EP eligible) and two additional incentives complementing the reference policy (biodiversity premium, carbon levy) increased biodiversity co-benefits, but mostly inefficiently. Discriminatory payments (bidders are paid their bid price) with land-use competition were efficient, and with multifunctional targeting of both carbon and biodiversity co-benefits increased the biodiversity co-benefits almost 100-fold. Our findings were robust to uncertainty in global outlook, and to key agricultural productivity and land-use adoption assumptions. The results suggest clear policy directions, but careful mechanism design will be key to realising these efficiencies in practice. Choices remain for society about the amount of carbon and biodiversity co-benefits desired, and the price it is prepared to pay for them.

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A plethora of recent literature on asset pricing provides plenty of empirical evidence on the importance of liquidity, governance and adverse selection of equity on pricing of assets together with more traditional factors such as market beta and the Fama-French factors. However, literature has usually stressed that these factors are priced individually. In this dissertation we argue that these factors may be related to each other, hence not only individual but also joint tests of their significance is called for. In the three related essays, we examine the liquidity premium in the context of the finer three-digit SIC industry classification, joint importance of liquidity and governance factors as well as governance and adverse selection. Recent studies by Core, Guay and Rusticus (2006) and Ben-Rephael, Kadan and Wohl (2010) find that governance and liquidity premiums are dwindling in the last few years. One reason could be that liquidity is very unevenly distributed across industries. This could affect the interpretation of prior liquidity studies. Thus, in the first chapter we analyze the relation of industry clustering and liquidity risk following a finer industry classification suggested by Johnson, Moorman and Sorescu (2009). In the second chapter, we examine the dwindling influence of the governance factor if taken simultaneously with liquidity. We argue that this happens since governance characteristics are potentially a proxy for information asymmetry that may be better captured by market liquidity of a company’s shares. Hence, we jointly examine both the factors, namely, governance and liquidity – in a series of standard asset pricing tests. Our results reconfirm the importance of governance and liquidity in explaining stock returns thus independently corroborating the findings of Amihud (2002) and Gompers, Ishii and Metrick (2003). Moreover, governance is not subsumed by liquidity. Lastly, we analyze the relation of governance and adverse selection, and again corroborate previous findings of a priced governance factor. Furthermore, we ascertain the importance of microstructure measures in asset pricing by employing Huang and Stoll’s (1997) method to extract an adverse selection variable and finding evidence for its explanatory power in four-factor regressions.

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The Dirichlet process mixture model (DPMM) is a ubiquitous, flexible Bayesian nonparametric statistical model. However, full probabilistic inference in this model is analytically intractable, so that computationally intensive techniques such as Gibbs sampling are required. As a result, DPMM-based methods, which have considerable potential, are restricted to applications in which computational resources and time for inference is plentiful. For example, they would not be practical for digital signal processing on embedded hardware, where computational resources are at a serious premium. Here, we develop a simplified yet statistically rigorous approximate maximum a-posteriori (MAP) inference algorithm for DPMMs. This algorithm is as simple as DP-means clustering, solves the MAP problem as well as Gibbs sampling, while requiring only a fraction of the computational effort. (For freely available code that implements the MAP-DP algorithm for Gaussian mixtures see http://www.maxlittle.net/.) Unlike related small variance asymptotics (SVA), our method is non-degenerate and so inherits the “rich get richer” property of the Dirichlet process. It also retains a non-degenerate closed-form likelihood which enables out-of-sample calculations and the use of standard tools such as cross-validation. We illustrate the benefits of our algorithm on a range of examples and contrast it to variational, SVA and sampling approaches from both a computational complexity perspective as well as in terms of clustering performance. We demonstrate the wide applicabiity of our approach by presenting an approximate MAP inference method for the infinite hidden Markov model whose performance contrasts favorably with a recently proposed hybrid SVA approach. Similarly, we show how our algorithm can applied to a semiparametric mixed-effects regression model where the random effects distribution is modelled using an infinite mixture model, as used in longitudinal progression modelling in population health science. Finally, we propose directions for future research on approximate MAP inference in Bayesian nonparametrics.