Turkey and African countries decade’srelationships provides a concise and wide-ranging introduction to the subject, spanning from the earlier era of the Ottoman Empire, to the Turkish Republic and later, to the Justice and Development Party.

This is an introductory book which provides sources and materials on Turkey and African countries relations. Drawing on history from the Ottoman Empire, to Turkish Republic and the Justice and Development Party, this book provides firsthand information on their relations. Showing how Turkey and African countries that are located on different continents established relationship, it goes on to consider how they support each other at international stages. The book deals, in particular, with political, economic, social and cultural relations between Turkey and African countries; it explorers the challenges they face in military and security terms. This general introductory text benefits students, scholars and researchers eager to gain an insight into Turkey and African countries relations.

Kieran E. Uchehara was formerly a lecturer at Atılım University, Ankara, Turkey. Currently, he is an associate professor in the Department of Political Science and International Relations at Hasan Kalyoncu University, Gaziantep, Turkey.

Financial time series including high frequency structures like jumps, spikes and stochastic volatility are usually modeled in an ad-hoc manner by stochastic differential equations together with Levy processes. Estimating the parameters and determining the jump size distributions do not have a precise and universally accepted method. Under these circumstances, complexities and confusions usually arise. This book, approaches to this issue from a very different angle through introducing an autocorrelation one process together with finite number of Fourier series terms. Introduction of Fourier series to estimate the dynamics of the process is not done in an ad-hoc manner or as done before in dealing with seasonality. Here the moving average is transformed to a “moving and fluctuating” average by the help of Fourier series. Instead of adding jump structures to the model which makes the parameter estimation quite cumbersome, our model in discrete time can easily be transformed to a well-known mean reverting continuous time process. Moreover, our alternative model turned out to be a quite powerful and accurate forecasting technique.