41 research outputs found
Theoretical Channels Of International Transmission During The Subprime Crisis To OECD Countries: A FAVAR Model Under Bayesian Framework
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
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
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
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
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
Stock Market Integration and Risk Premium: Empirical Evidence for Emerging Economies of South Asia
Forthcomin
On the link between bitcoin and commodities' prices
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