Multi-party computation mechanism for anonymous equity block trading: A secure implementation of turquoise plato uncross

Dark pools are financial trading venues where orders are entered and matched in secret so that no order information is leaked. By preventing information leakage, dark pools offer the opportunity for large volume block traders to avoid the costly effects of market impact. However, dark pool operators have been known to abuse their privileged access to order information. To address this issue, we introduce a provably secure multi-party computation mechanism that prevents an operator from accessing and misusing order information. Specifically, we implement a secure emulation of Turquoise Plato Uncross, Europe's largest dark pool trading mechanism, and demonstrate that it can handle real world trading throughput, with guaranteed information integrity.     

Pareto efficient allocation of an in-motion wireless charging infrastructure for electric vehicles in a multipath network

Electric vehicles (EV) use an eco-friendly technology that limits the greenhouse gas emissions of the transport sector, but the limited battery capacity and the density of the battery are the major barriers to the widespread adoption of EV. To mitigate this, a good method seems to be the innovative wireless charging technology called ‘On-Line EV (OLEV)’, which is a contactless electric power transfer technology. This EV technology has the potential to charge the vehicle’s battery dynamically while the vehicle is in motion. This system helps to reduce not only the size of the battery but also its cost, and it also contributes to extending the driving range before the EV has to stop. The high cost of this technology requires an optimal location of the infrastructure along the route. For this reason, the objective of this paper is to study the problem of the location of the wireless charging infrastructure in a transport network composed of multiple routes between the origin and the destination. To find a strategic solution to this problem, we first and foremost propose a nonlinear integer programming solution to reach a compromise between the cost of the battery, which is related to its capacity, and the cost of installing the power transmitters, while maintaining the quality of the vehicle’s routing. Second, we adapt the multi-objective particle swarm optimization (MPSO) approach to our problem, as the particles were robust in solving nonlinear optimization problems. Since we have a multi-objective problem with two binary variables, we combine the binary and discrete versions of the particle swarm optimization approach with the multi-objective one. The port of Le Havre is presented as a case study to illustrate the proposed methodology. The results are analyzed and discussed in order to point out the efficiency of our resolution method.     

Discretely sampled variance and volatility swaps versus their continuous approximations

Discretely sampled variance and volatility swaps trade actively in OTC markets. To price these swaps, the continuously sampled approximation is often used to simplify the computations. The purpose of this paper is to study the conditions under which this approximation is valid. Our first set of theorems characterize the conditions under which the discretely sampled swap values are finite, given that the values of the continuous approximations exist. Surprisingly, for some otherwise reasonable price processes, the discretely sampled swap prices do not exist, thereby invalidating the approximation. Examples are provided. Assuming further that both swap values exist, we study sufficient conditions under which the discretely sampled values converge to their continuous counterparts. Because of its popularity in the literature, we apply our theorems to the 3/2 stochastic volatility model. Although we can show finiteness of all swap values, we can prove convergence of the approximation only for some parameter values.     

Modelling seasonality in residential water demand: the case of Tunisia

This article proposes to model seasonal patterns of residential water demand using the techniques of seasonal integration and cointegration. The methodology is applied to quarterly aggregate time series data for Tunisia (1980–2007), applying the same increasing, multi-step pricing scheme in the whole country. First, a seasonal cointegration analysis demonstrates the relevance of a pricing policy that increases the size of the lower consumption block in summer. Second, the nonseasonal cointegration analysis reveals a relatively high price elasticity for the highest consumption block. Therefore, we also propose to increase the tariff progressivity to promote water savings. This modified pricing scheme will help to achieve goals of environmental protection and social equity.     

Assessing the Impact of Crude Oil Price and Investor Sentiment on Islamic Indices: Subprime Crisis

This article attempts to shed light on the impact of oil prices, investor sentiment, and conventional index on 11 Islamic indices, particularly during the subprime financial crisis and the oil crisis. Empirical evidence suggests that the Malaysian and Indonesian Islamic indices are very much affected by the oil volatility. Estimation results of the BEKK-GARCH model reveal that the pessimistic sentiment during the subprime crisis is transmitted to Islamic indices, suggesting the herding contagion. The authors' finding indicates that investors can use VIX investor sentiment as an indicator to predict Islamic returns volatility. In addition, the authors find that the oil shock has spilled into Islamic indices. The time-varying correlation indicates strong evidence of the contagion effect of crude oil and investor sentiment measure to Islamic indices during the oil shock and U.S. financial crisis period of 2008–2009.     

The resource curse and income inequality in Iran

This paper has investigated the relationship between oil revenues and inequality in Iran from 1969 to 2012. For this purpose, a threshold regression model has been used for capturing the non-linearity impact of the share of oil revenues in GDP on inequality. Two indicators have been applied for inequality: “Gini coefficient” and “the share of the richest decile of household expenditures which were relative to the poorest decile”. Estimation results of both inequality models suggested that there is a non-linear relationship as a u-shape between “oil revenues/GDP” and inequality in two regimes of oil revenues including high and low oil revenues regimes. The threshold level of oil revenues divided by GDP was about 10% for both inequality models. Before this threshold value, in low oil revenues regime, an increase of oil revenues would decrease income inequality, but after the threshold level and staying in high oil revenues regime, a rise in oil revenues would increase income inequality in Iran.     

Modelling Regional Water Consumption in Tunisia Using Panel Cointegration Second Generation Tests

Journal of Quantitative Economics - The main originality of this paper is to model long run patterns of residential water consumption using quarterly non stationary panel data covering the six...     

Commercialisation de la microfinance: impact sur les plus pauvres en Afrique

Nous cherchons à déterminer si la commercialisation des IMF est associée à la « dérive de mission ». Plus précisément, en considérant que la commercialisation se caractérise par la viabilité, la concurrence, et la réglementation des IMF, nous évaluons son effet sur la taille moyenne des prêts accordés. L'étude empirique est basée sur les données en panel de 96 IMF ?uvrant dans 22 pays africains durant la période 2005–2008, et aussi sur la méthode des MCO afin d'étudier l'impact de la commercialisation des IMF sur la taille moyenne des prêts par groupe de clientèle servie. Les résultats indiquent que les IMF africaines ont une plus faible portée sociale lorsqu'elles sont autonomes financièrement, mais la réglementation et la concurrence peuvent favoriser l'inclusion des plus pauvres. Nous constatons également que l'augmentation de la taille moyenne des prêts est associée à des niveaux inférieurs de remboursement du prêt par les plus pauvres, à la baisse de pourcentage de femmes emprunteuses, au pourcentage de population rurale et à la forme juridique d'ONG, et aussi à la prédominance du crédit individuel. Ceci caractérise la dérive de mission.     

How Do Carbon Taxes Affect Emissions? Plant-Level Evidence from Manufacturing

Environmental and Resource Economics - This paper investigates how carbon taxes affect emissions by examining British Columbia’s revenue-neutral carbon tax in the manufacturing sector. We...