Partial cointegration is a weakening of cointegration that allows for the "cointegrating" process to contain a random walk and a mean-reverting component. We derive its representation in state space, provide a maximum likelihood based estimation routine, and a suitable likelihood ratio test....

The aim of this research is to develop a profitable high frequency pair trading strategy based on selected stocks of S&P 500. The analysis is performed with co-integration method on the 1-minute high-frequency data covering the period Jan 1, 2010 - Dec 31, 2012. Empirical analysis presented in...

Generally non-economists and the rest of the world consider investment as the act of buying financial assets such shares, stocks, bonds and other securities which already exist in the stock market. But this description only limits investment to a transfer of existing stock of assets which does...

We introduce a model for portfolio selection with an extendable investment universe where the agent faces a trade-off between exploiting existing and exploring for new investment opportunities. An agent with mean-variance preferences starts with an existing investment universe consisting of a...

The maximum diversification has been shown in the literature to depend on the vector of asset volatilities and the inverse of the covariance matrix of the asset return covariance matrix. In practice, these two quantities need to be replaced by their sample statistics. The estimation error...

There is a general acceptance of the fact that a significant direct relationship between financial markets and macroeconomic variables exists, especially by considering the assertion that developed financial markets correspond to high GDP levels. This paper provides an investigation of the...

This study tries to ascertain the behaviour of some major macroeconomic factors that would drive Ghana’s economic growth using Johansen approach to cointegration. The study uses quarterly data from 1980:Q1 to 2013:Q4. The data were first analyzed using the Augmented Dickey Fuller (ADF and...

In dieser Arbeit wird die Eignung des Instrumentariums der neuronalen Netze, im Konkreten der autoregressiven Neuronale-Netz-Modelle (ARNN), zur Modellierung und Prognose von makroökonomischen Zeitreihen untersucht und mit jenen der autoregressiven (AR) und autoregressiven...