This thesis will first criticize standard financial theory. The focus will be on return distributions, efficient market hypothesis and the independence of returns. Part two gives the intuition to look at markets in a different view. Namely the one proposed by B. Mandelbrot who has shown that...

Financial processes may possess long memory and their probability densities may display heavy tails. Many models have been developed to deal with this tail behaviour, which reflects the jumps in the sample paths. On the other hand, the presence of long memory, which contradicts the efficient...

This PhD thesis aims to study financial processes which have semi-heavy-tailed marginal distributions and may exhibit memory. The traditional Black-Scholes model is expanded to incorporate memory via an integral operator, resulting in a class of market models which still preserve the...

We employ a number of parametric and non-parametric techniques toestablish the existence of long-range dependence in daily interbank o errates for four countries. We test for long memory using classical R=Sanalysis, variance-time plots and Lo's (1991) modi ed R=S statistic. Inaddition we...

This paper analyses the implicit dynamics underlying the interest rate structure inKenya. For this purpose we use data on four commercial banks? interest rates (Deposits,Savings, Lending and Overdraft) together with the 91-Day Treasury Bill rate, for thetime period July 1991 ? August 2010, and...

The local Hurst exponent, a measure employed to detect the presence of dependence in a time series, may also be used to investigate the source of intraday variation observed in the returns in foreign exchange markets. Given that changes in the local Hurst exponent may be due to either a...

The United States Department of Agriculture has issued statistics on prices received by farmers since 1866. Beginning in 1924, prices received were collected as of the middle of the month instead of the first of the month. In this research analysis both univariate and transfer function...

This dissertation consists of two parts. The first part introduces a neural network approach that is used to forecast the conditional probability density function of asset returns. The model is unified with the idea of Arbitrage Pricing Theory (APT). In the second part, an algorithm called...

Under the normal conditions of construction contracts, the client is obliged to pay the contractor in monthly instalments. The amount of each instalment is based on the value of construction work actually produced in the previous month and forecasts are needed in advance of the likely value of...

Studies of the value relevance of accounting number in capital market research are consistent with the simple view that, in equilibrium, book values are equal to or have some long-term relationship with market values, and that market returns are related to book returns. This dissertation...