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risks. With a slight reformulation of the loss function and a standard factor decomposition of a panel of forecasts, we show …
Persistent link: https://www.econbiz.de/10011305389
standard factor decomposition of a panel of forecasts, we show that the uncertainty of a typical forecaster can be expressed as …
Persistent link: https://www.econbiz.de/10012405456
of conditional information, and reviews an arbitrage pricing theory for large dimensional factor models in this framework …
Persistent link: https://www.econbiz.de/10012101166
The purpose of this research is to determine whether bankruptcy forecasting models are subject to industry and time specific effects. A sample of 15,848 firms was obtained from the Compustat and CRSP databases, spanning the time period 1950 to 2013, of which 396 were bankrupt. Using five models...
Persistent link: https://www.econbiz.de/10013000033
standard factor decomposition of a panel of forecasts, we show that the uncertainty of a typical forecaster can be expressed as …
Persistent link: https://www.econbiz.de/10013251262
. Technically, the inference is based on extending the conditional predictive ability test of Giacomini and White (2006) to a panel …
Persistent link: https://www.econbiz.de/10014353469
risks. With a slight reformulation of the loss function and a standard factor decomposition of a panel of forecasts, we show …
Persistent link: https://www.econbiz.de/10013017623
The introduction by regulators of mandatory margining for bilateral OTCs is going to have a major impact on the derivatives market, particularly in light of the additional funding costs and liquidity requirements that large financial institutions will face. Fabrizio Anfuso, Daniel Aziz, Paul...
Persistent link: https://www.econbiz.de/10012970284
In this paper, we conduct uniform inference of two widely used versions of the Phillips curve, specifically the random-walk Phillips curve and the New-Keynesian Phillips curve (NKPC). For both specifications, we propose a potentially time-varying natural unemployment (NAIRU) to address the...
Persistent link: https://www.econbiz.de/10012988085
In the present paper we propose a new method, the Penalized Adaptive Method (PAM), for a data driven detection of structural changes in sparse linear models. The method is able to allocate the longest homogeneous intervals over the data sample and simultaneously choose the most proper variables...
Persistent link: https://www.econbiz.de/10012912415