85 research outputs found
Financial intermediation, investment dynamics and business cycle fluctuations
How important are financial friction shocks in business cycles fluctuations? To answer this question, I use micro data to quantify key features of US financial markets. I then construct a dynamic equilibrium model that is consistent with these features and fit the model to business cycle data using Bayesian methods. In my micro data analysis, I establish facts that may be of independent interest. For example, I find that a substantial 35% of firm investment is funded using financial markets. The dynamic model introduces price and wage rigidities and a financial intermediation shock into Kiyotaki and Moore (2008). According to the estimated model, the financial intermediation shock explains around 35% of GDP and 60% of investment volatility. The estimation assigns such a large role to the financial shock for two reasons: (i) the shock is closely related to the interest rate spread, and this spread is strongly countercyclical and (ii) according to the model, the response in consumption, investment, employment and asset prices to a financial shock resembles the behavior of these variables over the business cycle
Financial intermediation, investment dynamics and business cycle fluctuations
How important are financial friction shocks in business cycles fluctuations? To answer this question, I use micro data to quantify key features of US financial markets. I then construct a dynamic equilibrium model that is consistent with these features and fit the model to business cycle data using Bayesian methods. In my micro data analysis, I establish facts that may be of independent interest. For example, I find that a substantial 33% of firm investment is funded using financial markets. The dynamic model introduces price and wage rigidities and a financial intermediation shock into Kiyotaki and Moore (2008). According to the estimated model, the financial intermediation shock explains around 40% of GDP and 55% of investment volatility. The estimation assigns such a large role to the financial shock for two reasons: (i) the shock is closely related to the interest rate spread, and this spread is strongly countercyclical and (ii) according to the model, the response in consumption, investment, employment and asset prices to a financial shock resembles the behavior of these variables over the business cycle
Financial intermediation, investment dynamics and business cycle fluctuations
How important are financial friction shocks in business cycles fluctuations? To answer this question, I use micro data to quantify key features of US financial markets. I then construct a dynamic equilibrium model that is consistent with these features and fit the model to business cycle data using Bayesian methods. In my micro data analysis, I establish facts that may be of independent interest. For example, I find that a substantial 35% of firm investment is funded using financial markets. The dynamic model introduces price and wage rigidities and a financial intermediation shock into Kiyotaki and Moore (2008). According to the estimated model, the financial intermediation shock explains around 35% of GDP and 60% of investment volatility. The estimation assigns such a large role to the financial shock for two reasons: (i) the shock is closely related to the interest rate spread, and this spread is strongly countercyclical and (ii) according to the model, the response in consumption, investment, employment and asset prices to a financial shock resembles the behavior of these variables over the business cycle
Compton thick AGN in the NuSTAR era
We present the 2-100 keV spectral analysis of 30 candidate Compton thick
(CT-) active galactic nuclei (AGN) selected in the Swift-BAT 100-month survey.
The average redshift of these objects is 0.03 and they
all lie within 500 Mpc. We used the MyTorus (Murphy et al. 2009) model to
perform X-ray spectral fitting both without and with the contribution of the
NuSTAR data in the 3-50 keV energy range. When the NuSTAR data are added to the
fit, 14 out of 30 of these objects (47% of the whole sample) have intrinsic
absorption N3 confidence level,
i.e., they are re-classified from Compton thick to Compton thin. Consequently,
we infer an overall observed fraction of CT-AGN with respect to the whole AGN
population lower than the one reported in previous works, and as low as
4%. We find evidence that this over-estimation of N is likely
due to the low quality of a subsample of spectra, either in the 2-10 keV band
or in the Swift-BAT one.Comment: 19 pages, 10 figures, accepted for publication on the Astrophysical
Journa
Cervical Spine Inhomogeneously Enhancing Lesion: Avoiding Confirmation Bias
Confirmation bias is the tendency to seek information and evidence in order to confirm a preexisting hypothesis while giving less importance and overlook an alternative solution. This report describes the case of a 52-year-old man with a long history of neck pain and bilateral upper limbs paresthesias with a cervical intracanal inhomogeneously enhancing lesion. Despite all the preoperative radiological findings, a spinal meningioma an anterior approach was performed. The mass ended up being a large migrated hernia with the involvement of two levels. Before suggesting treatment, especially surgery, physicians and practitioners need to evaluate all of the possible alternatives in order to optimize patient outcome
Compton-thick AGN in the NuSTAR era III: A systematic study of the torus covering factor
We present the analysis of a sample of 35 candidate Compton thick (CT-)
active galactic nuclei (AGNs) selected in the nearby Universe (average redshift
~0.03) with the Swift-BAT 100-month survey. All sources have available
NuSTAR data, thus allowing us to constrain with unprecedented quality important
spectral parameters such as the obscuring torus line-of-sight column density
(N_{H, z}), the average torus column density (N_{H, tor}) and the torus
covering factor (f_c). We compare the best-fit results obtained with the widely
used MyTorus (Murphy et al. 2009) model with those of the recently published
borus02 model (Balokovic et al. 2018) used in the same geometrical
configuration of MyTorus (i.e., with f_c=0.5). We find a remarkable agreement
between the two, although with increasing dispersion in N_{H, z} moving towards
higher column densities. We then use borus02 to measure f_c. High-f_c sources
have, on average, smaller offset between N_{H, z} and N_{H, tor} than low-f_c
ones. Therefore, low f_c values can be linked to a "patchy torus" scenario,
where the AGN is seen through an over-dense region in the torus, while high-f_c
objects are more likely to be obscured by a more uniform gas distribution.
Finally, we find potential evidence of an inverse trend between f_c and the AGN
2-10 keV luminosity, i.e., sources with higher f_c values have on average lower
luminosities.Comment: 35 Pages, 23 Figures. Accepted for publication in Ap
Compton-thick AGNs in the NuSTAR era. V: Joint NuSTAR and XMM-Newton spectral analysis of three "soft-Gamma" candidate CT-AGNs in the Swift-BAT 100-month catalog
We present the joint NuSTAR and XMM-Newton spectral analysis in the 0.6-70
keV band of three candidate Compton thick (CT-) AGN selected in the 100-month
Swift-BAT catalog. These objects were previously classified as CT-AGNs based on
low quality Swift-XRT and Swift-BAT data, and had soft photon indices
(Gamma>2.2) that suggested a potential overestimation of the line of sight
column density. Thanks to the high-quality NuSTAR and XMM-Newton data we were
able to determine that in all three objects the photon index was significantly
overestimated, and two out of three sources are reclassified from CT to Compton
thin, confirming a previously observed trend, i.e., that a significant fraction
of BAT-selected, candidate CT-AGNs with poor soft X-ray data are reclassified
as Compton thin when the NuSTAR data are added to the fit. Finally, thanks to
both the good XMM-Newton spatial resolution and the high NuSTAR and XMM-Newton
spectral quality, we found that the third object in our sample was associated
to the wrong counterpart: the correct one, 2MASX J10331570+5252182, has
redshift z=0.14036, which makes it one of the very few candidate CT-AGNs in the
100-month BAT catalog detected at z>0.1, and a rare CT quasar.Comment: 12 Pages, 4 Figures. Accepted for publication in Ap
Beginning a journey across the universe: the discovery of extragalactic neutrino factories
Neutrinos are the most elusive particles in the Universe, capable of
traveling nearly unimpeded across it. Despite the vast amount of data
collected, a long standing and unsolved issue is still the association of
high-energy neutrinos with the astrophysical sources that originate them.
Amongst the candidate sources of neutrinos there are blazars, a class of
extragalactic sources powered by supermassive black holes that feed highly
relativistic jets, pointed towards the Earth. Previous studies appear
controversial, with several efforts claiming a tentative link between
high-energy neutrino events and individual blazars, and others putting into
question such relation. In this work we show that blazars are unambiguously
associated with high-energy astrophysical neutrinos at unprecedented level of
confidence, i.e. chance probability of 6 x 10^{-7}. Our statistical analysis
provides the observational evidence that blazars are astrophysical neutrino
factories and hence, extragalactic cosmic-ray accelerators.Comment: Published in ApJ
X-Ray Spectral Properties of Seven Heavily Obscured Seyfert 2 Galaxies
We present the combined Chandra and Swift-BAT spectral analysis of seven Seyfert 2 galaxies selected from the Swift-BAT 100 month catalog. We selected nearby (z ≤ 0.03) sources lacking a ROSAT counterpart that never previously been observed with Chandra in the 0.3-10 keV energy range, and targeted these objects with 10 ks Chandra ACIS-S observations. The X-ray spectral fitting over the 0.3-150 keV energy range allows us to determine that all the objects are significantly obscured, with N_H≥ 10^23cm^-2 at a >99% confidence level. Moreover, one to three sources are candidate Compton-thick Active Galactic Nuclei (CT-AGNs; I.e., N_H ≥ 10^24 cm^-2). We also test the recent spectral curvature method developed by Koss et al. to find candidate CT-AGNs, finding a good agreement between our results and their predictions. Because the selection criteria we adopted were effective in detecting highly obscured AGNs, further observations of these and other Seyfert 2 galaxies selected from the Swift-BAT 100 month catalog will allow us to create a statistically significant sample of highly obscured AGNs, therefore providing a better understanding of the physics of the obscuration processes
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