A mixture vector autoregressive framework to capture extreme events in macro-prudential stress tests
Severe financial turbulence is driven by high impact and low probability events that are the hallmarks of systemic financial stress. These unlikely adverse events arise from the extreme tail of a ...
After computing the sample autocovariance matrices, PROC STATESPACE fits a sequence of vector autoregressive models. These preliminary autoregressive models are used to estimate the autoregressive ...
The recent financial crisis raises important issues about the transmission of financial shocks across borders. In this paper, a global vector autoregressive (GVAR) model is constructed to assess the ...
In October 2018, the Basel Committee on Banking Supervision (BCBS) published its stress testing principles. One of these principles is about stress testing model validation, aided by business ...
This paper examines the importance of various macroeconomic shocks in explaining the movement of the term structure of nominal bond yields in the post-war U.S., as well as the channels through which ...
In the heat of severe global macroeconomic volatility, monetary authorities in the developing world are faced with the challenge of identifying the sources of such volatilities in their countries.
The regression model with autocorrelated disturbances is as follows: In these equations, y t are the dependent values, x t is a column vector of regressor variables, is a column vector of structural ...
This paper presents an exchange rate model for the Euro exchange rates of four major currencies, namely the US dollar, the British pound, the Japanese yen and the Swiss franc. The model is based on ...
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