Written by leading market risk academic, Professor Carol Alexander, Quantitative Methods in Finance forms part one of the Market Risk Analysis four volume set. Starting from the basics, this book helps readers to take the first step towards becoming a properly qualified financial risk manager...

This paper examines, from a market efficiency perspective, the performance of a simple dynamic equity indexing strategy based on cointegration. A consistent 'abnormal' return in excess of the benchmark is demonstrated over different time horizons and in different real world and simulated stock...

Arbitrage-free price bounds for convertible bonds are obtained assuming equity-linked hazard rates, stochastic interest rates and different assumptions about default and recovery behavior. Uncertainty in volatility is modeled using a stochastic volatility process for the common stock that lies...

It is widely accepted that some of the most accurate Value-at-Risk (VaR) estimates are based on an appropriately specified GARCH process. But when the forecast horizon is greater than the frequency of the GARCH model, such predictions have typically required time-consuming simulations of the...

The data generation process underlying regional house prices in the UK is investigated using new statistical tests. It is found that causal flows tend to be northwards: the South East (rather than Greater London) acts as an exogenous price determinator of the other regions in the south; the...

Random orthogonal matrix (ROM) simulation is a very fast procedure for generating multivariate random samples that always have exactly the same mean, covariance and Mardia multivariate skewness and kurtosis. This paper investigates how the properties of parametric, data-specific and...

This article introduces generalized beta-generated (GBG) distributions. Sub-models include all classical beta-generated, Kumaraswamy-generated and exponentiated distributions. They are maximum entropy distributions under three intuitive conditions, which show that the classical beta generator...

type="main" xml:lang="en" <p>The implementation of multivariate GARCH models in more than a few dimensions is extremely difficult: because the model has many parameters, the likelihood function becomes very flat, and consequently the optimization of the likelihood becomes practicably impossible....</p>