A COEXCEEDANCE APPROACH ON FINANCIAL CONTAGION

The paper sheds light on financial contagion within the Euro Area and Asia, and contagion from the Euro Area to Asia during two recent crises: the global financial crisis and European sovereign debt crisis. Applying the multinomial logit regression model, the paper investigates how the macro-finance variables affect the coincidence of extreme negative returns (coexceedances). In addition, I apply both original constant threshold i.e. 5% percentile of unconditional distribution of daily stock returns and Value-at-Risk to estimate extreme negative returns. These approaches offer a similar pattern. The empirical findings reveal that, in the Euro Area and Asia, the probability of the occurrence of coexceedances is strongly explained by the idiosyncratic risks: the changes in exchange rates, the regional stock market volatility, and global shocks: the changes in the U.S. long-term interest rates, the TED spread. The global volatility index is only significant to explain the likelihood of coexceedances in the Euro Area, not in Asia. These analyses lead to the conclusion that contagion in Asia is more important than in the Euro Area. Another important finding indicates the existence of contagion from the Euro Area to Asia. That is, the probability of coexceedances in Asia is predictable and depends on the number of joint occurrence of extreme return shocks in the Euro Area

Optimal control of large quantum systems: assessing memory and runtime performance of GRAPE

Gradient Ascent Pulse Engineering (GRAPE) is a popular technique in quantum optimal control, and can be combined with automatic differentiation (AD) to facilitate on-the-fly evaluation of cost-function gradients. We illustrate that the convenience of AD comes at a significant memory cost due to the cumulative storage of a large number of states and propagators. For quantum systems of increasing Hilbert space size, this imposes a significant bottleneck. We revisit the strategy of hard-coding gradients in a scheme that fully avoids propagator storage and significantly reduces memory requirements. Separately, we present improvements to numerical state propagation to enhance runtime performance. We benchmark runtime and memory usage and compare this approach to AD-based implementations, with a focus on pushing towards larger Hilbert space sizes. The results confirm that the AD-free approach facilitates the application of optimal control for large quantum systems which would otherwise be difficult to tackle.Comment: 14 pages, 6 figures, 1 tabl

Impact of sea level rise on current and wave in Van Uc coastal area

This paper presents the results of analysis, comparison of some characteristics of current, wave at Van Uc estuary area when being affected by sea level rise due to climate change based on Delft3D model. Scenario groups are established: The current scenario and the scenarios simulating effect of sea level rise 0.5 m and 1.0 m. The results of calculation and simulation show that the velocity values change locally when sea level rises: Rise in the northern and southern areas (0.2–5 cm/s); decrease in the navigation channel (0.6–30 cm/s). Sea level rise causes the increase of wave height in the coastal area (13.5–43.8% in the dry season and 20–40% in the rainy season) and fewer changes in the outer area

Environment Impacts and Composition - Biotoxic Activity in Natural Hydrocarbon Raw Materials & Processed Products

The paper aims to figure out What are environment impacts and composition - biotoxic activity in natural hydrocarbon raw materials and processed products. By using descriptive method for primary model, synthesis methods and process analysis and analysis of difficulties and discussion, The study of this problem point that, to assess the environmental impact of hydrocarbons on the biosphere, an accurate knowledge of the physical properties and chemical composition of oil and gas. Numerous tragic examples of accidents, such as those associated with a leak hydrogen sulfide gases. Hydrogen sulfide, due to its higher density relative to air settles in the lowlands of the relief, accumulating in calm weather in concentrations up to lethal. This leads to the death of animals and the death of people. The latter could be avoid by going to elevated windward areas, i.e., knowing the physical properties of this toxic gas

Two-view Graph Neural Networks for Knowledge Graph Completion

We present an effective GNN-based knowledge graph embedding model, named WGE, to capture entity- and relation-focused graph structures. In particular, given the knowledge graph, WGE builds a single undirected entity-focused graph that views entities as nodes. In addition, WGE also constructs another single undirected graph from relation-focused constraints, which views entities and relations as nodes. WGE then proposes a GNN-based architecture to better learn vector representations of entities and relations from these two single entity- and relation-focused graphs. WGE feeds the learned entity and relation representations into a weighted score function to return the triple scores for knowledge graph completion. Experimental results show that WGE outperforms competitive baselines, obtaining state-of-the-art performances on seven benchmark datasets for knowledge graph completion.Comment: 13 pages; 3 tables; 3 figure

On-Chip Noise Sensor for Integrated Circuit Susceptibility Investigations

page number: 12International audienceWith the growing concerns about electromagnetic compatibility of integrated circuits, the need for accurate prediction tools and models to reduce risks of non-compliance becomes critical for circuit designers. However, on-chip characterization of noise is still necessary for model validation and design optimization. Although different on-chip measurement solutions have been proposed for emission issue characterization, no on-chip measurement methods have been proposed to address the susceptibility issues. This paper presents an on-chip noise sensor dedicated to the study of circuit susceptibility to electromagnetic interferences. A demonstration of the sensor measurement performances and benefits is proposed through a study of the susceptibility of a digital core to conducted interferences. Sensor measurements ensure a better characterization of actual coupling of interferences within the circuit and a diagnosis of failure origins