Vector error-correction models (VECMs) have become increasingly popular in their applications to financial markets. Standard VECM models assume that the cointegrating vectors are of full rank such that they contain no zero elements. However, applications of VECM models to financial market data...

Hydraulic tomography is a powerful technique for characterizing heterogeneous hydrogeologic parameters. An explicit trade-off between characterization based on measurement misfit and subjective characterization using prior information is presented. We apply a Bayesian geostatistical inverse...

An important research area in financial mathematics is the study of long memory phenomenon in financial data. Long memory had been known long before suitable stochastic models were developed. Fractional Brownian motion (FBM) can be used to characterize this phenomenon. This thesis examines the...

Swingtum stands for Swing and Momentum. A Swingtum Theory of Intelligent Finance is presented here in order to provide a scientific and engineering foundation to professional swing trading and momentum trading. The origins of Swingtum theory naturally go deep into the empirical professional...

This work undertakes the first comprehensive theoretical assessment of syndicated loans. It is shown that syndicated and bilateral (single lender) loans should be good substitutes in meeting a borrower's financing requirements, but that syndicated loans are more complex and impose additional...

The objective of this paper is to determine how relative market and credit risk changes among European sectors during times of extreme market fluctuations. Ten sectors comprising the S&P Euro index are compared prior to and during the Global Financial Crisis (GFC). Market risk is measured using...

Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly financial investment and lending. The potential value of such models is emphasised by the extremely costly failure of high-profile companies in the recent past. Consequently, a...

This paper presents fresh findings about key determinants of credit risk of commercial banks in emerging economy banking systems compared with developed economies. Australia, France, Japan and the US represent developed economies; emerging economies are India, Korea, Malaysia, Mexico and...

This study examines the interaction between insurance, credit and liquidityconstraints using a stochastic dynamic model. A risk averse farmer whoseobjective is to manage both production and market risk is assumed tomaximize the expected utility of life-time consumption by using both arearevenue...

We introduce a modelling paradigm which integrates credit risk and marketrisk in describing the random dynamical behaviour of the underlying fixed income assets.We then consider an asset and liability management (ALM) problem and develop a mul-tistage stochastic programming model which focuses...