A generative model is a statistical model of the joint probability distribution. We built a generative model for univariate time series in finance using a Variational Autoencoder (VAE) neural network architecture. We test the model in SP500 and the Heston Model widely used for option pricing and...

This paper shows that row-continuous Markov chains with one or two boundaries have transient probabilities with matrix-geometric structure. Also explored is the relationship between the Green's function method and the matrix-geometric structure. Also explored is the relationship between the...

We consider a multivariate time series whose increments are given from a homogeneous Markov chain. We show that the martingale component of this process can be extracted by a filtering method and establish the corresponding martingale decomposition in closed-form. This representation is useful...

In this book, I introduce basics of research methodologies in Arabic language which I believe is an unprecedented step. The conceptions, research frameworks, sampling and some detailed methods are given in this text book. Moreover, some analytical statistical methods are introduced to give...

Momentum is widely accepted among academic researchers as one of the strongest return generating factors, yet it remains largely unknown by the investing public. This paper explores that dichotomy by examining momentum from a practical point of view. Using exchange traded fund data from 2002...

The Finnish National Election Study of 2003 revealed that in Finland most voters do not identify with parties and are self-described as independents. In this article it is asserted that partisan attachments affect Finnish parties’ optimal positions despite the large amount of independents. To...

The paper is focused on an ex-post investment performance analysis. Firstly, we create a suite of return, risk, return to risk and benchmark related measures with immediate real life applications in mind. We define and describe these measures and provide real data examples where appropriate....