This paper examines the effects of monetary policy uncertainty (MPU) on China's banks' credit risks and China's macroeconomic fluctuations. By incorporating the stochastic volatility into the quantity-based monetary policy rule, we provide a specific measure for China's MPU through Bayesian MCMC...

This working paper contains facts and introductory concepts about Markov Chain Monte Carlo (MCMC) methods and algorithms. The aim is to provide the reader with a general introduction to the MCMC framework

We propose a portfolio approach for operational risk quantification based on a class of analytical models from which we derive new results on the correlation problem. In particular, we show that uniform correlation is a robust assumption for measuring capital charges in these models

It is widely believed that when evolving rates in the LIBOR market model to step over tenor dates the terminal measure must be used. We explain why this is not the case, and show that by very long stepping in the spot measure it is possible to obtain significant accuracy and standard error...

Biplots are graphical displays of data matrices based on the decomposition of a matrix as the product of two matrices. Elements of these two matrices are used as coordinates for the rows and columns of the data matrix, with an interpretation of the joint presentation that relies on the...

We show that the weak Pareto law, as used to characterize the tail behaviour of income distributions, implies regularly varying tail probabilities, but that the reverse implication does not hold. We also establish implications among other versions of the weak Pareto law.

The contribution of this paper is to show how the balance of risk for various macro variables can be linked to inflation uncertainty. Inflation uncertainty is derived from uncertainty in the macro variables that are deemed to be important for future inflation. The paper focuses on the technical...

This paper provides a new approach to recover relative entropy measures of contemporaneous dependence from limited information by constructing the most entropic copula (MEC) and its canonical form, namely the most entropic canonical copula (MECC). The MECC can effectively be obtained by...

We investigate several promising algorithms, proposed in literature, devised to detect sudden changes (structural breaks) in the volatility of financial time series. Comparative study of three techniques: ICSS, NPCPM and Cheng's algorithm is carried out via numerical simulation in the case of...