Dataset Information

Measuring resilience to financial instability: A new dataset.

ABSTRACT: In recognition of the severe consequences of the recent international financial crisis, the topic of macroprudential policy has elicited considerable research effort. The data set reports, for 46 economies around the globe, an index of the capacity to deploy macroprudential policies. The index aims to represent the essence of what constitutes a macroprudential regime is developed and used in http://dx.doi.org/10.1016/j.jfs.2016.08.007 (D. Lombardi, P.L. Siklos, 2016) [1]. Specifically, the index quantifies: (1) how existing macroprudential frameworks are organized; and (2) how far a particular jurisdiction is from reaching the goals established by the Group of Twenty (G20) and the Financial Stability Board (FSB). The latter is a benchmark that has not been considered in the burgeoning literature that seeks to quantify the role of macroprudential policies.

SUBMITTER: Lombardi D

PROVIDER: S-EPMC5121165 | biostudies-other | 2016 Dec

REPOSITORIES: biostudies-other

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Measuring resilience to financial instability: A new dataset.

Lombardi Domenico D Siklos Pierre P

Data in brief 20161109

In recognition of the severe consequences of the recent international financial crisis, the topic of macroprudential policy has elicited considerable research effort. The data set reports, for 46 economies around the globe, an index of the capacity to deploy macroprudential policies. The index aims to represent the essence of what constitutes a macroprudential regime is developed and used in http://dx.doi.org/10.1016/j.jfs.2016.08.007 (D. Lombardi, P.L. Siklos, 2016) [1]. Specifically, the index ...[more]

PMID: 27896305

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Project description:Samples were taken from colorectal cancers in surgically resected specimens in 33 colorectal cancer patients. The expression profiles were determined using Affymetrix Human Genome U133 Plus 2.0 arrays. Comparison between the sample groups allow to identify a set of discriminating genes that can be used for molecular markers for CIN phynotype Specimens from 33 consecutive stage II and stage III patients who had undergone surgical resection of CRC were studied. Patients with familial adenomatous polyposis and HNPCC were excluded from the study. Specimens from tumors and corresponding normal tissues in surgically resected specimens were snap-frozen in liquid nitrogen and stored at -80degreesC until use. Parallel tumor specimens were formalin fixed and paraffin embedded for histological examination. DNA and RNA was extracted from paired tumor and normal tissue using frozen samples. The patients provided written, informed consent to the collection of specimens, and the local Ethics Committee approved the study protocol. MSI and LOH phenotype analysis were done as follows; Using DNA, we performed the polymerase chain reaction (PCR) and determined the MSI status. In addition to five microsatellite markers recommended by the National Cancer Institute workshop, we also used TP53, D18S46, D18S363 and D18S474.9 We determined LOH status in non–MSI-high tumors, because LOH is rare in MSI-high tumors and also interpretation of LOH is difficult in MSI-high tumors. We defined LOH at each locus as a 50% reduction in the height of one of two allele peaks in tumor DNA relative to non-neoplastic control DNA. LOH was defined as present if any of the markers on the same chromosome show LOH. In order to evaluate the severity of chromosomal instability based on the actual frequency of LOH among evaluable loci, we defined the LOH Ratio (%) as: LOH Ratio (%) = Total number of chromosomes with LOH / Total number of chromosomes that could be evaluated for LOH × 100. Depending on the LOH Ratio, we classified tumors as having high levels of chromosomal instability (CIN-high) (33% < LOH Ratio < 100%) or low levels of chromosomal instability (CIN-low) (0% < LOH Ratio <33%). Furthermore, CIN-high tumors were divided into two subgroups; CIN-high (mild type) (33% < LOH Ratio < 75%) and CIN-high (severe type) (75% < LOH Ratio <100%).

Dataset Information

Measuring resilience to financial instability: A new dataset.

Publications

Measuring resilience to financial instability: A new dataset.

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