نتایج جستجو برای: banking granular residual

تعداد نتایج: 138409  

Hamid Reza Horry Mehdi Nejati, Sayyed Abdolmajid Jalaee Esfand abadi, Siminossadat Mirhashemi Naeini

Granular residual is created in the banking network when there are a few large banks with many small banks. In this case, the effect of the shocks on each bank not lost in total that can lead to macro-economic consequences. The transmission of monetary policy through change in bank facilities is one of the key mechanisms affecting monetary policies. The power of transmission of monetary policy ...

2008
Sven Blank

Size matters in banking. In this paper, we explore whether shocks originating at large banks affect the probability of distress of smaller banks and thus the stability of the banking system. Our analysis proceeds in two steps. In a first step, we follow Gabaix (2005) and construct a measure of idiosyncratic shocks at large banks, the so-called Granular Residual. This measure documents the impor...

2016
M. Ndaw G. Mendy S. Ouya

Risk management in banking sector is a key issue linked to financial system stability and its importance has been elevated by technological developments and emergence of new financial instruments. In this paper, we improve the model previously defined for quantifying internal control impact on banking risks by automatizing the residual criticality estimation step of FMECA. For this, we defined ...

امینی, صدرالدین, قلمقاش, جلیل, یاجم, ساناز,

Chah Torsh intrusive body in S-W of Nadushan is a small part of extensive magmatism of Oligo-Miocene age in Urumieh-Dokhtar magmatic belt. This is the largest intrusive mass of SW of Nadushan complex which are all outcropped as masses cut through Eocene volcanics. The Chah Torsh intrusion consists of two phases with porphyry and granular textures. Geochemical properties of two phases on the bas...

2015
M. Pandiaraj

Granular computing (GrC) is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information. Granular computing is more a theoretical perspective, it encourages an approach to data that recognizes and exploits the knowledge...

2013
K. Kavitha K. Selvakumar D M. Neelamegan

Granular computing (GrC) is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information. Granular computing is more a theoretical perspective, it encourages an approach to data that recognizes and exploits the knowledge...

Journal: :بینا 0
سلطان حسین سالور sh salour ophthalmic research center, shahid beheshti university of medical sciences, tehran, iranدانشگاه علوم پزشکی شهید بهشتی مژگان رضایی کنوی m rezaee kanavi ophthalmic research center, shahid beheshti university of medical sciences, tehran, iranدانشگاه علوم پزشکی شهید بهشتی سعید کریمی s karimi ophthalmic research center, shahid beheshti university of medical sciences, tehran, iranدانشگاه علوم پزشکی شهید بهشتی

purpose: to present a case of orbital granular cell tumor, a rare orbital tumor. case report: a 55-year-old woman presented with binocular diplopia and right ocular displacement. the problem had initiated 3 years ago. a firm nontender mass at the region of the right lower lid was visible. orbital ct-scan disclosed a well-defined mass in the inferior right orbit with involvement of the inferior ...

Journal: :Revista cubana de medicina tropical 2012
Gloria-Elsa Antonio-Arreola Daniel Sánchez

OBJECTIVE To study the effect of water extraction and renewal on the residual action of temephos applied at 1ppm to cement water-storage containers at home. METHODS The study was conducted in two stages: one, determination of the granular temephos effectiveness on wild Aedes aegypti populations in order to set the monitoring baseline; and second, the measurement of the mean rate of water extr...

2010
Xavier Gabaix

git = agIit + b ( lnSi,t−1 − lnSj,t−1;,j∈Ii ) gIit + c ( lnSi,t−1 − lnSj,t−1;,j∈Ii )2 gIit + εit (36) In this model, the loading of firm i can depend not only on the industry average gIit, but also on the size of the firm. To make coeffi cients easier to interpret, I recenter by lnSj,t−1, the average log size, so that the mean of the second term is 0. Table VI reports the first stage of a varie...

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