Explaining Aggregated Recovery Rates

نویسندگان

چکیده

This study on explaining aggregated recovery rates (ARR) is based the largest existing loss and database for commercial loans provided by Global Credit Data, which includes defaults from 5 continents over 120 countries. The dependence of monthly ARR bank various macroeconomic factors examined sources their variability are stated. For first time, an influence stochastically estimated growth GDP USA Europe quantified. To extract signals Europe, dynamic factor models panel data different frequency information employed. Then, behavior investigated using several regression with unshifted shifted explanatory variables in time to improve forecasting power taking into account economic situation after default. An application a Markov switching model shows that distribution differs between crisis prosperity times. best fit among compared reached model. Moreover, significant observed both crises

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Explaining Individual Response using Aggregated Data

Empirical analysis of individual response behavior is sometimes limited due to the lack of explanatory variables at the individual level. In this paper we put forward a new approach to estimate the effects of covariates on individual response, where the covariates are unknown at the individual level but observed at some aggregated level. This situation may, for example, occur if the response va...

متن کامل

Sparse Parameter Recovery from Aggregated Data

Data aggregation is becoming an increasingly common technique for sharing sensitive information, and for reducing data size when storage and/or communication costs are high. Aggregate quantities such as group-average are a form of semi-supervision as they do not directly provide information of individual values, but despite their wide-spread use, prior literature on learning individual-level mo...

متن کامل

Sparse Parameter Recovery from Aggregated Data : Supplement

To our knowledge, all prior work in the literature (eg. [Herman & Strohmer 2010; Chi et al. 2011; Rosenbaum et al. 2013; Rudelson & Zhou 2015] among others) only concern themselves with cases 1, 2 and 3. Moreover, for papers that do deal with case 2 and 3, unless s = 0 the existing analysis will be restricted to providing only approximate recovery guarantees. Thus, these methods do not apply di...

متن کامل

Explaining State Black Imprisonment Rates 1983-1999

This paper addresses the problem of rising Black/White disparities in imprisonment and seeks to determine factors predicting which states will have the highest Black imprisonment rates for various offenses. Annual state imprisonment rates for 1983-1999 are calculated from the Correctional Populations of the United States (CPUS) and National Corrections Reporting Program (NCRP) data. Dependent v...

متن کامل

Explaining the Distribution of Firms Growth Rates

Secchi " On The Laplace Distribution of Firms Growth Rates ". We present a new the description of the empirical results and we try to provide better justification for the theoretical assumptions constituting the base of our analysis. In the present version we introduce a new more general version of the main theorem that helps to clarify the assumption about micro-shocks distribution, the nature...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Risks

سال: 2022

ISSN: ['2227-9091']

DOI: https://doi.org/10.3390/risks10010018