While the long-ranged correlation of market orders and their impact on prices has been relatively well studied in the literature, the corresponding studies of limit orders and cancellations are scarce. We provide here an empirical study of the cross-correlation between all these different events, and their respective impact on future price changes. We define and extract from the data the ‘bare’ impact these events would have if they were to happen in isolation. For large tick stocks, we show that a model where the bare impact of all events is permanent and non-fluctuating is in good agreement with the data. For small tick stocks, however, bare impacts must contain a history-dependent part, reflecting the internal fluctuations of the order book. We show that this effect can be accurately described by an autoregressive model of the past order flow. This framework allows us to decompose the impact of an event into three parts: an instantaneous jump component, the modification of the future rates of the different events, and the modification of the jump sizes of future events. We compare in detail the present formalism with the temporary impact model that was proposed earlier to describe the impact of market orders when other types of events are not observed. Finally, we extend the model to describe the dynamics of the bid–ask spread. 相似文献
Tariff-Rate Quotas (TRQs) were introduced at the outset of the Uruguay Round to support market access following the tariffication of non-tariff barriers to trade in agriculture. TRQs created an administrative mess in which governments often discretionarily allocate import licenses to private and/or public firms. Numerous papers describe the arbitrarily chosen procedures used to allocate licenses in different countries and the resulting distorted trade patterns. However, few research efforts have formally studied the impacts of different administrative methods on welfare. Due to significant spreads between domestic and world prices, the administration of import licenses can have important strategic effects under imperfect competition. We propose a simple theoretical framework to highlight the various economic implications of two methods used by WTO members: the historical allocation and the first-come-first-serve procedures. These two methods differ in their discretionary degree and, under imperfect competition, lead to different welfare implications depending on the structural parameters of an industry. Numerical simulations are provided to illustrate our findings 相似文献
This study uses a random parameter probit estimation to examine the effects of tariff liberalization on the probability of establishing new trading relationships in meat commodities. Our simulation results indicate that the effects of tariff reductions decrease with distance, but increase with the level of development. The probabilities of trade increase at an increasing rate with the size of tariff reductions thus justifying calls for ambitious liberalization schemes. Canada and Mexico are the NAFTA countries that are most likely to export in response to EU tariff reductions on bovine and poultry meats, while Brazil and Argentina emerge as the MERCOSUR countries most likely to penetrate the EU bovine meat market after EU tariff reductions. Uruguay's probability to export poultry meat is most responsive to EU tariff reductions. 相似文献
A gravity model is developed to explain bilateral trade flows in primary and processed commodities within the same agri-food supply chain. It accounts for vertical production linkages, trade and domestic policies, and supply rigidities at the farm level. Our application focuses on cattle/beef trade flows between 42 countries. The estimated parameters of the model are used to simulate trade flows. We found large differences in the impacts of the full and partial liberalization scenarios. A parametric bootstrap procedure is used to generate confidence intervals around predicted trade liberalization outcomes. 相似文献
Does more inequality lead to more efficiency in the managementof common property resources? To answer this question, an attemptis made to develop relevant theoretical models and to articulatethem with empirical evidence drawn mainly from social sciencestudies. The paper is divided into two parts. In this, the secondpart, it is shown that inequality tends to amplify the distributiveeffects of regulation when the latter is carried out throughthe use of second best instruments. As a resuh efficiency gainsfrom regulation must decrease as inequality increases, for allusers to gain from such regulation. 相似文献
This study estimates productivity gains and their distribution among inputs and outputs for 63 American industries over the period 1987–2012. Using the traditional surplus accounting method, the Total Factor Productivity (TFP) growth rates are divided into their price change components in order to determine the stakeholders who do or do not receive price advantages.
An initial analysis showed that TFP of US industries increased at an average trend of 0.8% and established that remunerations to employees and firms’ profitability constituted 49% and 39%, respectively, of the accumulated economic surplus from the productivity gains. Suppliers of intermediate inputs retained 12.1% of the surplus. Finally, customers, equipment and structure providers were the losers in the distribution of economic surplus via, respectively, a significant growth of relative final demand prices and a substantial price decrease of these assets.
A second step analysis underlined that industries with high TFP growth rates mainly benefited customers and firms via output price decreases and profitability improvements while industries with low or negative TFP changes hurt customers through significant output price increases. The sectoral level analysis also showed that employees’ remunerations depend only slightly on productivity gains produced within their industrial sectors. 相似文献