This paper develops methods for automatic selection of variables in forecasting Bayesian vector autoregressions (VARs) using the Gibbs sampler. In particular, I provide computationally efficient algorithms for stochastic variable selection in generic (linear and nonlinear) VARs. The performance...

The M&A transactions represent a wide range of unique business optimization opportunities in the corporate transformation deals, which are usually characterized by the high level of total risk. The M&A transactions can be successfully implemented by taking to an account the size of investments,...

This paper is the first study to examine the effectiveness of the Shanghai Fuel Oil Futures Contract (SHF) in risk reduction on the Chinese energy oil market. We find that the SHF contract can help investors reduce risk by approximately 45%, lower than empirical evidence in developed markets,...

Traditional risk definitions, based on supervisor’s point of view, don’t behold explicitly the existence and interaction of other important risks such as derivative credit risks from other unsecured risk by debtors of bank system in economies partially “dollarized”. One of these critical...

The present project is related in the measurement of the risk and the improvement of the processes of monetary species. The main objective is to offer a methodology in the tickets administration because understanding of history is a situation that becomes in an advantage on the opportunities at...

The paper describes a theoretical approach to determine the downturn LGD for residential mortgages, which is compliant with the regulatory requirement and thus suited to be used for validation, at least as it can give benchmark results. The link between default rates and recovery rates is in...

This study compares the performance of the widely used risk measure Value-at-Risk (VaR) across a large sample of developed and developing countries. The performance of the VaR is assessed by both unconditional and conditional tests of Kupiec and Christoffersen, respectively, as well as the...

Systemic risk is a very important but very complex notion in banking and how to measure it adequately is challenging. We introduce a new framework for measuring systemic risk by using a risk-adjusted balance sheet approach. The measure models credit risk of banks as a put option on bank assets,...

In this work we have found a relevant increase in the systematic risk of the American real estate securities in the year 2007 which go to the initial values in the year 2009. With the aim to evaluate the systematic risk we have used the Fama-French three factor model and we have studied the...

This paper investigates dynamic currency hedging benefits, with a further focus on the impact of currency hedging before and during the recent financial crises originated from the subprime and the Euro sovereign bonds. We take the point of view of a Euro-based institutional investor who...