41 research outputs found

    Theoretical Channels Of International Transmission During The Subprime Crisis To OECD Countries: A FAVAR Model Under Bayesian Framework

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    This paper studies whether and how U.S. shocks are transmitted to other OECD economies in the case of the Subprime Crisis. Using a large data set of 119 major financial and macroeconomic variables in 17 OECD countries from 1980:Q1 to 2006:Q2, we characterize the transmission channels by the interpretable factors and make a structural analysis using FAVAR models under a Bayesian approach. Our main findings suggest that differences exist in the contagion effects. This implies that no generalizations can be made for OECD countries even of equal economic size and in the same geographic region. Our results show that a large portion of the variance of domestic economic variables is explained by global factors and that the interest rate shock appears to play an important role in the spillover mechanism from the U.S to the OECD countries

    2,6-Dimethyl­anilinium chloride monohydrate

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    In the title hydrated mol­ecular salt, C8H12N+·Cl−·H2O, the component species inter­act by way of N—H⋯O, N—H⋯Cl and O—H⋯Cl hydrogen bonds, resulting in a three-dimensional network

    Bis(4-chloro­benzyl­ammonium) tetra­kis(2,6-diethyl­anilinium) cyclo­hexa­phosphate tetra­hydrate

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    In the crystal of the title hydrated mol­ecular salt, 2C7H9ClN+·4C10H16N+·P6O18 6−·4H2O, the packing consists of a three-dimensional O—H⋯O and N—H⋯O hydrogen-bonded network resulting from the association of anionic layers built up from centrosymmetric cyclohexaphosphate ions and water mol­ecules and the two types of organic cations

    Diffuse lipomatosis of the thyroid gland

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    AbstractDiffuse thyroïd lipomatosis is an extremely rare histopathological condition characterized by diffuse fatty infiltration in thyroïd stroma. We report a case of 67year old female who presented a plunging goiter. She underwent a thyroïdectomy. Histopathologic study concluded to the diagnosis of diffuse thyroïd lipomatosis. No recurrence was observed

    Quality-of-service aware routing for static and mobile IPv6-based low-power and lossy sensor networks using RPL

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    The Internet of Things (IoT) has emerged as a paradigm over the last few years as a result of the tight integration of the computing and the physical world. The requirement of remote sensing makes low-power wireless sensor networks one of the key enabling technologies of IoT. These networks encompass several challenges, especially in communication and networking, due to their inherent constraints of low-power features, deployment in harsh and lossy environments, and limited computing and storage resources. The IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) [1] was proposed by the IETF ROLL (Routing Over Low-power Lossy links) working group and is currently adopted as an IETF standard in the RFC 6550 since March 2012. Although RPL greatly satisfied the requirements of low-power and lossy sensor networks, several issues remain open for improvement and specification, in particular with respect to Quality of Service (QoS) guarantees and support for mobility. In this paper, we focus mainly on the RPL routing protocol. We propose some enhancements to the standard specification in order to provide QoS guarantees for static as well as mobile LLNs. For this purpose, we propose OF-FL (Objective Function based on Fuzzy Logic), a new objective function that overcomes the limitations of the standardized objective functions that were designed for RPL by considering important link and node metrics, namely end-to-end delay, number of hops, ETX (Expected transmission count) and LQL (Link Quality Level). In addition, we present the design of Co-RPL, an extension to RPL based on the corona mechanism that supports mobility in order to overcome the problem of slow reactivity to frequent topology changes and thus providing a better quality of service mainly in dynamic networks application. Performance evaluation results show that both OF-FL and Co-RPL allow a great improvement when compared to the standard specification, mainly in terms of packet loss ratio and average network latency. 2015 Elsevier B.V. A

    On the link between bitcoin and commodities' prices

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    This pioneer paper studies whether and how Bitcoin shocks are transmitted to the U.S economy. We employ a new methodology: TVP FAVAR model with stochastic volatility. We use a large dataset of 111 major U.S variables from 1959:m1 to 2016:m12. The results show that Bitcoin shocks significantly impact the U.S. econ-omy. This significant impact is pronounced in a volatile and increasing U.S economy. The Bitcoin has a posi-tive relationship on the U.S real activity, and a negative one on U.S prices and interest rates. Effects on the Monetary Policy exist via the interest rates and the Money, Credit and Finance transmission channels
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